{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d7149021",
   "metadata": {},
   "source": [
    "<h1 style=\"text-align:center; text-decoration:underline\">Nice to MET you</h1>\n",
    "<p style=\"text-align:center\"><b>More than 500 Italian paintings are now exhibited at Metropolitan Museum of Art, New York. What's the history behind their journeys?</b></p>\n",
    "<hr>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfa81ee1",
   "metadata": {},
   "source": [
    "<p style=\"text-align: justify\"><b>Nice to MET you</b> is an Information Visualization project, exploring the Italian paintings that are exhibited at <b><em>The Metropolitan Museum of Art</em></b> in New York. More than five hundred Italian masterpieces are currently preserved at the MET, but how did they get there? The aim of this project is to examine the provenance of these artworks and those actors who contributed to the growth of this collection.</p>\n",
    "\n",
    "<p style=\"text-align: justify\">The project relies on two major sources, whose specific contribution will be clarified in the next section: The MET .csv Dataset (available at this <a href=\"https://media.githubusercontent.com/media/metmuseum/openaccess/master/MetObjects.csv\">link</a>) and the <a href=\"http://data.fondazionezeri.unibo.it/\">Zeri &amp; Lode RDF dataset</a>.</p>\n",
    "\n",
    "<p style=\"text-align: justify\">This Jupyter Notebook is intended to provide readers with a documentation of the project.</p> "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e94b5a28",
   "metadata": {},
   "source": [
    "<h2 id=\"#anal\">Data Analysis</h2>"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d349a7ea",
   "metadata": {},
   "source": [
    "<p style=\"text-align:justify\">As part of the <b>Open Access Initiave</b>, <b><em>The Metropolitan Museum of Art</em></b> provides select datasets of information on more than 470,000 artworks. Among them, one can observe a considerable number of <b>Italian paintings</b>, an initial cataloguing of which was carried out by the Italian connoisseur <b>Federico Zeri</b> (1971-1986). The Metropolitan dataset contains many details about the creation and the accession of each artwork, along with cataloguing information and URI references to <b>Wikidata</b> and the Getty <b>Art &amp; Architecture Thesaurus</b>.</p>\n",
    "<p style=\"text-align:justify\">Nevertheless, some data about the provenance are still missing: this is the reason why, the present project exploits the information made available by the <b>Zeri &amp; Lode</b> project. The first release of the Zeri Photo Archive RDF dataset (April, 2016) represents a considerable subset of data already available at the <a href=\"http://catalogo.fondazionezeri.unibo.it/cerca/opera\">Zeri Catalog web site</a>. Not all the Italian paintings preserved at the MET are currently represented in the RDF graph. However, the Zeri &amp; Lode project presents a major advantage: it allows users to better examine the history of the artworks. Each available transaction/transfer is in fact associated with its own URI, which is directly linked to the URIs of both the surrender and the receiver. In other words, the MET dataset only focuses on the last transfer of the artwork (column \"Credit Line\"; e.g.: <em>Bequest of Harry G. Sperling, 1971</em>), while the Zeri Catalog provides some more information also about the previous transactions (e.g.: <a href=\"http://data.fondazionezeri.unibo.it/id/artwork/16633/provenance-4\" target=\"blank\">http://data.fondazionezeri.unibo.it/id/artwork/16633/provenance-4</a>), allowing users to better track down some of the artworks' trajectories.</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e50c2d1",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 1: Import Libraries</b>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f19a1610",
   "metadata": {},
   "outputs": [],
   "source": [
    "#pandas\n",
    "from pandas import read_sql\n",
    "import pandas as pd\n",
    "\n",
    "#sql \n",
    "from sqlite3 import connect\n",
    "\n",
    "#sparql\n",
    "from SPARQLWrapper import SPARQLWrapper, JSON\n",
    "import sparql_dataframe\n",
    "\n",
    "#regular expressions\n",
    "import re"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5a9391c5",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 2: Extract Italian Paintaings from the general MET dataset</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d1b7da1",
   "metadata": {},
   "source": [
    "<p>The MET dataset (<b>.csv</b> format) is converted into a <b>DataFrame</b>. The columns \"Artist Nationality\"/\"Artist Display Bio\" and \"Department\" allow us to isolate Italian Paintings creating a smaller DataFrame (<b><code>italianDataset</code></b>). This task is carried out through an <b>SQL</b> query.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cc995a33",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\sebas\\anaconda3\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3444: DtypeWarning: Columns (5,7,10,11,12,13,14,34,35,36,37,38,39,40,41,42,43,44,45,46) have mixed types.Specify dtype option on import or set low_memory=False.\n",
      "  exec(code_obj, self.user_global_ns, self.user_ns)\n",
      "C:\\Users\\sebas\\anaconda3\\lib\\site-packages\\pandas\\core\\generic.py:2872: UserWarning: The spaces in these column names will not be changed. In pandas versions < 0.14, spaces were converted to underscores.\n",
      "  sql.to_sql(\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 532 entries, 0 to 531\n",
      "Data columns (total 54 columns):\n",
      " #   Column                   Non-Null Count  Dtype \n",
      "---  ------                   --------------  ----- \n",
      " 0   Object Number            532 non-null    object\n",
      " 1   Is Highlight             532 non-null    int64 \n",
      " 2   Is Timeline Work         532 non-null    int64 \n",
      " 3   Is Public Domain         532 non-null    int64 \n",
      " 4   Object ID                532 non-null    int64 \n",
      " 5   Gallery Number           230 non-null    object\n",
      " 6   Department               532 non-null    object\n",
      " 7   AccessionYear            532 non-null    object\n",
      " 8   Object Name              531 non-null    object\n",
      " 9   Title                    532 non-null    object\n",
      " 10  Culture                  0 non-null      object\n",
      " 11  Period                   0 non-null      object\n",
      " 12  Dynasty                  0 non-null      object\n",
      " 13  Reign                    0 non-null      object\n",
      " 14  Portfolio                0 non-null      object\n",
      " 15  Constituent ID           532 non-null    object\n",
      " 16  Artist Role              532 non-null    object\n",
      " 17  Artist Prefix            532 non-null    object\n",
      " 18  Artist Display Name      532 non-null    object\n",
      " 19  Artist Display Bio       532 non-null    object\n",
      " 20  Artist Suffix            532 non-null    object\n",
      " 21  Artist Alpha Sort        532 non-null    object\n",
      " 22  Artist Nationality       532 non-null    object\n",
      " 23  Artist Begin Date        532 non-null    object\n",
      " 24  Artist End Date          532 non-null    object\n",
      " 25  Artist Gender            15 non-null     object\n",
      " 26  Artist ULAN URL          511 non-null    object\n",
      " 27  Artist Wikidata URL      512 non-null    object\n",
      " 28  Object Date              381 non-null    object\n",
      " 29  Object Begin Date        532 non-null    int64 \n",
      " 30  Object End Date          532 non-null    int64 \n",
      " 31  Medium                   532 non-null    object\n",
      " 32  Dimensions               532 non-null    object\n",
      " 33  Credit Line              532 non-null    object\n",
      " 34  Geography Type           0 non-null      object\n",
      " 35  City                     0 non-null      object\n",
      " 36  State                    0 non-null      object\n",
      " 37  County                   0 non-null      object\n",
      " 38  Country                  0 non-null      object\n",
      " 39  Region                   0 non-null      object\n",
      " 40  Subregion                0 non-null      object\n",
      " 41  Locale                   0 non-null      object\n",
      " 42  Locus                    0 non-null      object\n",
      " 43  Excavation               0 non-null      object\n",
      " 44  River                    0 non-null      object\n",
      " 45  Classification           532 non-null    object\n",
      " 46  Rights and Reproduction  0 non-null      object\n",
      " 47  Link Resource            532 non-null    object\n",
      " 48  Object Wikidata URL      520 non-null    object\n",
      " 49  Metadata Date            0 non-null      object\n",
      " 50  Repository               532 non-null    object\n",
      " 51  Tags                     529 non-null    object\n",
      " 52  Tags AAT URL             529 non-null    object\n",
      " 53  Tags Wikidata URL        529 non-null    object\n",
      "dtypes: int64(6), object(48)\n",
      "memory usage: 224.6+ KB\n"
     ]
    }
   ],
   "source": [
    "csvData = pd.read_csv(\"https://media.githubusercontent.com/media/metmuseum/openaccess/master/MetObjects.csv\", encoding='utf-8')\n",
    "with connect(\"metDB.db\") as con:\n",
    "    csvData.to_sql(\"MetCatalog\", con, if_exists=\"replace\", index=False)\n",
    "    con.commit()\n",
    "with connect(\"metDB.db\") as con:\n",
    "    query = \"\"\"\n",
    "        SELECT *\n",
    "        FROM `MetCatalog`\n",
    "        WHERE (\"Artist Nationality\" LIKE '%talian%' OR \"Artist Display Bio\" LIKE '%talian%') AND \"Department\" = \"European Paintings\";\n",
    "    \"\"\"\n",
    "    italianDataset = pd.read_sql(query, con)\n",
    "italianDataset.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed78eb01",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 3: Retrieve all the artworks currently preserved at the MET (Zeri Catalog)</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e080b75",
   "metadata": {},
   "source": [
    "<p>The <b>Federico Zeri Catalog</b> deals with a huge collection of artworks: some of them are included in the MET dataset, but the Zeri Catalog offers a much more detailed presentation about the provenance of some paintings. In this case, we need to perform a <b>SPARQL</b> query: thus, we need an <b>endpoint</b> that allows us to reach the RDF dataset.</p>\n",
    "<p>The CIDOC Conceptual Reference Model (<b>CIDOC-CRM</b>) was used to represent the richness of Zeri Photo Archive. Thus, <code><b>crm:</b></code> is the main PREFIX for this query.</p>\n",
    "<p><a href=\"https://w3id.org/zericatalog/the-metropolitan-museum-of-art-new-york-ny\">&lt;https://w3id.org/zericatalog/the-metropolitan-museum-of-art-new-york-ny&gt;</a> is the URIRef for the Metropolitan Museum.</p> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9bf44cd1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artwork</th>\n",
       "      <th>label_artwork</th>\n",
       "      <th>inventory</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18789/item</td>\n",
       "      <td>Artwork \"Luciani Sebastiano , Ritratto di Cris...</td>\n",
       "      <td>inv. 00.18.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/item</td>\n",
       "      <td>Artwork \"Del Conte Jacopino , Sacra Famiglia\" ...</td>\n",
       "      <td>inv. 1976.100.15, lascito Harry G. Sperling</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18917/item</td>\n",
       "      <td>Artwork \"Anonimo sec. XVI , Ritratto di monaco...</td>\n",
       "      <td>inv. 1986.339.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18008/item</td>\n",
       "      <td>Artwork \"Rossi Francesco de' , Ritratto maschi...</td>\n",
       "      <td>inv. 45.128.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18022/item</td>\n",
       "      <td>Artwork \"Rossi Francesco de' , Ritratto maschi...</td>\n",
       "      <td>inv. 55.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/50670/item</td>\n",
       "      <td>Artwork \"Bonvicino Alessandro , Ritratto di ge...</td>\n",
       "      <td>inv. 28.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/49125/item</td>\n",
       "      <td>Artwork \"Tisi Benvenuto , San Nicola da Tolent...</td>\n",
       "      <td>inv. 17.190.24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/49129/item</td>\n",
       "      <td>Artwork \"Tisi Benvenuto , San Nicola da Tolent...</td>\n",
       "      <td>inv. 17.190.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/50819/item</td>\n",
       "      <td>Artwork \"Bonvicino Alessandro , Deposizione di...</td>\n",
       "      <td>inv. 12.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/51739/item</td>\n",
       "      <td>Artwork \"Bonvicino Alessandro , Cristo nel des...</td>\n",
       "      <td>inv. 11.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>108 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                             artwork  \\\n",
       "0    https://w3id.org/zericatalog/artwork/18789/item   \n",
       "1    https://w3id.org/zericatalog/artwork/16633/item   \n",
       "2    https://w3id.org/zericatalog/artwork/18917/item   \n",
       "3    https://w3id.org/zericatalog/artwork/18008/item   \n",
       "4    https://w3id.org/zericatalog/artwork/18022/item   \n",
       "..                                               ...   \n",
       "103  https://w3id.org/zericatalog/artwork/50670/item   \n",
       "104  https://w3id.org/zericatalog/artwork/49125/item   \n",
       "105  https://w3id.org/zericatalog/artwork/49129/item   \n",
       "106  https://w3id.org/zericatalog/artwork/50819/item   \n",
       "107  https://w3id.org/zericatalog/artwork/51739/item   \n",
       "\n",
       "                                         label_artwork  \\\n",
       "0    Artwork \"Luciani Sebastiano , Ritratto di Cris...   \n",
       "1    Artwork \"Del Conte Jacopino , Sacra Famiglia\" ...   \n",
       "2    Artwork \"Anonimo sec. XVI , Ritratto di monaco...   \n",
       "3    Artwork \"Rossi Francesco de' , Ritratto maschi...   \n",
       "4    Artwork \"Rossi Francesco de' , Ritratto maschi...   \n",
       "..                                                 ...   \n",
       "103  Artwork \"Bonvicino Alessandro , Ritratto di ge...   \n",
       "104  Artwork \"Tisi Benvenuto , San Nicola da Tolent...   \n",
       "105  Artwork \"Tisi Benvenuto , San Nicola da Tolent...   \n",
       "106  Artwork \"Bonvicino Alessandro , Deposizione di...   \n",
       "107  Artwork \"Bonvicino Alessandro , Cristo nel des...   \n",
       "\n",
       "                                       inventory  \n",
       "0                                   inv. 00.18.2  \n",
       "1    inv. 1976.100.15, lascito Harry G. Sperling  \n",
       "2                                inv. 1986.339.1  \n",
       "3                                 inv. 45.128.11  \n",
       "4                                     inv. 55.14  \n",
       "..                                           ...  \n",
       "103                                   inv. 28.79  \n",
       "104                               inv. 17.190.24  \n",
       "105                               inv. 17.190.23  \n",
       "106                                   inv. 12.61  \n",
       "107                                   inv. 11.53  \n",
       "\n",
       "[108 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "endpoint = \"http://data.fondazionezeri.unibo.it/sparql\"\n",
    "\n",
    "query = \"\"\"\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX crm: <http://www.cidoc-crm.org/cidoc-crm/>\n",
    "PREFIX ti: <http://www.ontologydesignpatterns.org/cp/owl/timeinterval.owl#>\n",
    "SELECT DISTINCT ?artwork ?label_artwork ?inventory\n",
    "WHERE {\n",
    "  ?artwork crm:P50_has_current_keeper <https://w3id.org/zericatalog/the-metropolitan-museum-of-art-new-york-ny> .\n",
    "  ?artwork  rdfs:label ?label_artwork.\n",
    "  ?artwork crm:P55_has_current_location ?location .\n",
    "  ?location  crm:P3_has_note ?inventory . \n",
    "  FILTER(LANG(?label_artwork) = \"\" || LANGMATCHES(LANG(?label_artwork), \"en\"))\n",
    "\n",
    "}\n",
    "\"\"\"\n",
    "\n",
    "df = sparql_dataframe.get(endpoint, query, post=True)\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfe0c888",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 4: Retrieve all data about about each artwork's transfers (Zeri Catalog)</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2dfaf529",
   "metadata": {},
   "source": [
    "<p>We are now interested in discovering something more about the artworks' provenance:</p>\n",
    "<ul>\n",
    "    <li>history: the number of the artwork's transfers recorded in the Zeri Dataset</li>\n",
    "    <li>receivers: the adressees of the trasnfers</li>\n",
    "    <li>surrenders: the surrenders of the artwork's custody</li>\n",
    "</ul>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "32e70839",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artwork</th>\n",
       "      <th>history</th>\n",
       "      <th>receivers</th>\n",
       "      <th>id</th>\n",
       "      <th>surrenders</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39117/item</td>\n",
       "      <td>6</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>inv. 1970.134.1</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.12</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39818/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.5</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45055/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 14.40.650, dono B. Altman</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39821/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.7</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39831/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.14</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/item</td>\n",
       "      <td>4</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione H.G...</td>\n",
       "      <td>inv. 1976.100.15, lascito Harry G. Sperling</td>\n",
       "      <td>Collezione H.G. Sperling; Kleinberger Gallerie...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/41423/item</td>\n",
       "      <td>2</td>\n",
       "      <td>The Metropolitan Museum of Art; Asta Christie's</td>\n",
       "      <td>inv. 1973.311.1</td>\n",
       "      <td>Asta Christie's; Harewood House, collezione Ea...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/60085/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1971.115.3b</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39841/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.20</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/32096/item</td>\n",
       "      <td>4</td>\n",
       "      <td>The Metropolitan Museum of Art; P. Corsini; Co...</td>\n",
       "      <td>inv. 1984.74</td>\n",
       "      <td>P. Corsini; Collezione S. Brunswick; Hammer Ga...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/item</td>\n",
       "      <td>4</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J. ...</td>\n",
       "      <td>inv. 16.30ab, dono di J. Pierpont Morgan (1916)</td>\n",
       "      <td>Collezione J. Pierpont Morgan; Collezioni real...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/46494/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 41.100.12</td>\n",
       "      <td>Collezione G. e F. Blumenthal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18022/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.H...</td>\n",
       "      <td>inv. 55.14</td>\n",
       "      <td>Collezione J.H. Harding; Asta Christie's; Coll...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36192/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1971.115.3a</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39830/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.13</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39850/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.22</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39825/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.9</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36357/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione T.M...</td>\n",
       "      <td>inv. 30.95.270</td>\n",
       "      <td>Collezione T.M. Davis; Collezione Baude; Colle...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39814/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.2</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39834/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.16</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45063/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 32</td>\n",
       "      <td>Convento di S. Antonio da Padova</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44254/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 49.7.15</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39817/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.4</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39837/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.18</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/47447/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1981.451</td>\n",
       "      <td>Collezione Rosendaal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39842/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.21</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/50670/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Knoedler and C...</td>\n",
       "      <td>inv. 28.79</td>\n",
       "      <td>Knoedler and Co.; E. Volpi; Collezione Fassati</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/34631/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Sti...</td>\n",
       "      <td>inv. 22.16.12, dono di Dr. E.G. Stillman</td>\n",
       "      <td>Collezione Stillman; Asta Galerie Georges Peti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39826/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.10</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39836/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.17</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45030/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 14.40.640, dono B. Altman</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35890/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1982.60.8, collezione Linsky</td>\n",
       "      <td>Collezione Linsky</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35624/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 06.171</td>\n",
       "      <td>Dowdeswell &amp; Dowdeswell</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36230/item</td>\n",
       "      <td>2</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione col...</td>\n",
       "      <td>inv. 30.83</td>\n",
       "      <td>Collezione colonnello Sacchetti; Oratorio di S...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39119/item</td>\n",
       "      <td>6</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>inv. 1970.134.2</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39450/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 2006.409</td>\n",
       "      <td>Mercato antiquario</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39833/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.15</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18917/item</td>\n",
       "      <td>4</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mr....</td>\n",
       "      <td>inv. 1986.339.1</td>\n",
       "      <td>Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39823/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.8</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/40327/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mrs...</td>\n",
       "      <td>inv. 1975.97</td>\n",
       "      <td>Collezione Mrs. E. Fowles; Asta Sotheby's; Col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39813/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.1</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43587/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 36.29</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44170/item</td>\n",
       "      <td>6</td>\n",
       "      <td>The Metropolitan Museum of Art; F. Mont; Galle...</td>\n",
       "      <td>inv. 1973.116</td>\n",
       "      <td>F. Mont; Galleria Fleischmann; Kleinberger Gal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39542/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 2000.420</td>\n",
       "      <td>Asta Christie's</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39827/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.11</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36740/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Fri...</td>\n",
       "      <td>inv. 32.100.80</td>\n",
       "      <td>Collezione Friedsam; Asta Galerie Georges Peti...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39839/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.19</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39815/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.3</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39820/item</td>\n",
       "      <td>5</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>inv. 48.17.6</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/37173/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 17.190.8</td>\n",
       "      <td>Collezione J. Pierpont Morgan</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/item</td>\n",
       "      <td>2</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Dillon</td>\n",
       "      <td>inv. 1977.384.1, dono di Clarence Dillon (1977)</td>\n",
       "      <td>Collezione Dillon; Collezione Chaix-d'Est Anges</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45329/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 57.170, dono di Robert Lehman</td>\n",
       "      <td>Collezione R. Lehman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/item</td>\n",
       "      <td>7</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.S...</td>\n",
       "      <td>inv. 49.7.12</td>\n",
       "      <td>Collezione J.S. Bache; Duveen Brothers, Inc.; ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/40326/item</td>\n",
       "      <td>3</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mrs...</td>\n",
       "      <td>inv. 1974.216</td>\n",
       "      <td>Collezione Mrs. E. Fowles; Asta Sotheby's; Col...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43626/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 49.7.16</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/48406/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1979.209</td>\n",
       "      <td>Matthiesen</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35237/item</td>\n",
       "      <td>1</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>inv. 1989.21</td>\n",
       "      <td>P. Corsini</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                            artwork  history  \\\n",
       "0   https://w3id.org/zericatalog/artwork/39117/item        6   \n",
       "1   https://w3id.org/zericatalog/artwork/39828/item        5   \n",
       "2   https://w3id.org/zericatalog/artwork/39818/item        5   \n",
       "3   https://w3id.org/zericatalog/artwork/45055/item        1   \n",
       "4   https://w3id.org/zericatalog/artwork/39821/item        5   \n",
       "5   https://w3id.org/zericatalog/artwork/39831/item        5   \n",
       "6   https://w3id.org/zericatalog/artwork/16633/item        4   \n",
       "7   https://w3id.org/zericatalog/artwork/41423/item        2   \n",
       "8   https://w3id.org/zericatalog/artwork/60085/item        1   \n",
       "9   https://w3id.org/zericatalog/artwork/39841/item        5   \n",
       "10  https://w3id.org/zericatalog/artwork/32096/item        4   \n",
       "11  https://w3id.org/zericatalog/artwork/45062/item        4   \n",
       "12  https://w3id.org/zericatalog/artwork/46494/item        1   \n",
       "13  https://w3id.org/zericatalog/artwork/18022/item        3   \n",
       "14  https://w3id.org/zericatalog/artwork/36192/item        1   \n",
       "15  https://w3id.org/zericatalog/artwork/39830/item        5   \n",
       "16  https://w3id.org/zericatalog/artwork/39850/item        5   \n",
       "17  https://w3id.org/zericatalog/artwork/39825/item        5   \n",
       "18  https://w3id.org/zericatalog/artwork/36357/item        3   \n",
       "19  https://w3id.org/zericatalog/artwork/39814/item        5   \n",
       "20  https://w3id.org/zericatalog/artwork/39834/item        5   \n",
       "21  https://w3id.org/zericatalog/artwork/45063/item        1   \n",
       "22  https://w3id.org/zericatalog/artwork/44254/item        1   \n",
       "23  https://w3id.org/zericatalog/artwork/39817/item        5   \n",
       "24  https://w3id.org/zericatalog/artwork/39837/item        5   \n",
       "25  https://w3id.org/zericatalog/artwork/47447/item        1   \n",
       "26  https://w3id.org/zericatalog/artwork/39842/item        5   \n",
       "27  https://w3id.org/zericatalog/artwork/50670/item        3   \n",
       "28  https://w3id.org/zericatalog/artwork/34631/item        3   \n",
       "29  https://w3id.org/zericatalog/artwork/39826/item        5   \n",
       "30  https://w3id.org/zericatalog/artwork/39836/item        5   \n",
       "31  https://w3id.org/zericatalog/artwork/45030/item        1   \n",
       "32  https://w3id.org/zericatalog/artwork/35890/item        1   \n",
       "33  https://w3id.org/zericatalog/artwork/35624/item        1   \n",
       "34  https://w3id.org/zericatalog/artwork/36230/item        2   \n",
       "35  https://w3id.org/zericatalog/artwork/39119/item        6   \n",
       "36  https://w3id.org/zericatalog/artwork/39450/item        1   \n",
       "37  https://w3id.org/zericatalog/artwork/39833/item        5   \n",
       "38  https://w3id.org/zericatalog/artwork/18917/item        4   \n",
       "39  https://w3id.org/zericatalog/artwork/39823/item        5   \n",
       "40  https://w3id.org/zericatalog/artwork/40327/item        3   \n",
       "41  https://w3id.org/zericatalog/artwork/39813/item        5   \n",
       "42  https://w3id.org/zericatalog/artwork/43587/item        1   \n",
       "43  https://w3id.org/zericatalog/artwork/44170/item        6   \n",
       "44  https://w3id.org/zericatalog/artwork/39542/item        1   \n",
       "45  https://w3id.org/zericatalog/artwork/39827/item        5   \n",
       "46  https://w3id.org/zericatalog/artwork/36740/item        3   \n",
       "47  https://w3id.org/zericatalog/artwork/39839/item        5   \n",
       "48  https://w3id.org/zericatalog/artwork/39815/item        5   \n",
       "49  https://w3id.org/zericatalog/artwork/39820/item        5   \n",
       "50  https://w3id.org/zericatalog/artwork/37173/item        1   \n",
       "51  https://w3id.org/zericatalog/artwork/16692/item        2   \n",
       "52  https://w3id.org/zericatalog/artwork/45329/item        1   \n",
       "53  https://w3id.org/zericatalog/artwork/33068/item        7   \n",
       "54  https://w3id.org/zericatalog/artwork/40326/item        3   \n",
       "55  https://w3id.org/zericatalog/artwork/43626/item        1   \n",
       "56  https://w3id.org/zericatalog/artwork/48406/item        1   \n",
       "57  https://w3id.org/zericatalog/artwork/35237/item        1   \n",
       "\n",
       "                                            receivers  \\\n",
       "0   The Metropolitan Museum of Art; Collezione G. ...   \n",
       "1   The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "2   The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "3                      The Metropolitan Museum of Art   \n",
       "4   The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "5   The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "6   The Metropolitan Museum of Art; Collezione H.G...   \n",
       "7     The Metropolitan Museum of Art; Asta Christie's   \n",
       "8                      The Metropolitan Museum of Art   \n",
       "9   The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "10  The Metropolitan Museum of Art; P. Corsini; Co...   \n",
       "11  The Metropolitan Museum of Art; Collezione J. ...   \n",
       "12                     The Metropolitan Museum of Art   \n",
       "13  The Metropolitan Museum of Art; Collezione J.H...   \n",
       "14                     The Metropolitan Museum of Art   \n",
       "15  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "16  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "17  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "18  The Metropolitan Museum of Art; Collezione T.M...   \n",
       "19  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "20  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "21                     The Metropolitan Museum of Art   \n",
       "22                     The Metropolitan Museum of Art   \n",
       "23  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "24  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "25                     The Metropolitan Museum of Art   \n",
       "26  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "27  The Metropolitan Museum of Art; Knoedler and C...   \n",
       "28  The Metropolitan Museum of Art; Collezione Sti...   \n",
       "29  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "30  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "31                     The Metropolitan Museum of Art   \n",
       "32                     The Metropolitan Museum of Art   \n",
       "33                     The Metropolitan Museum of Art   \n",
       "34  The Metropolitan Museum of Art; Collezione col...   \n",
       "35  The Metropolitan Museum of Art; Collezione G. ...   \n",
       "36                     The Metropolitan Museum of Art   \n",
       "37  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "38  The Metropolitan Museum of Art; Collezione Mr....   \n",
       "39  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "40  The Metropolitan Museum of Art; Collezione Mrs...   \n",
       "41  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "42                     The Metropolitan Museum of Art   \n",
       "43  The Metropolitan Museum of Art; F. Mont; Galle...   \n",
       "44                     The Metropolitan Museum of Art   \n",
       "45  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "46  The Metropolitan Museum of Art; Collezione Fri...   \n",
       "47  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "48  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "49  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "50                     The Metropolitan Museum of Art   \n",
       "51  The Metropolitan Museum of Art; Collezione Dillon   \n",
       "52                     The Metropolitan Museum of Art   \n",
       "53  The Metropolitan Museum of Art; Collezione J.S...   \n",
       "54  The Metropolitan Museum of Art; Collezione Mrs...   \n",
       "55                     The Metropolitan Museum of Art   \n",
       "56                     The Metropolitan Museum of Art   \n",
       "57                     The Metropolitan Museum of Art   \n",
       "\n",
       "                                                 id  \\\n",
       "0                                   inv. 1970.134.1   \n",
       "1                                     inv. 48.17.12   \n",
       "2                                      inv. 48.17.5   \n",
       "3                    inv. 14.40.650, dono B. Altman   \n",
       "4                                      inv. 48.17.7   \n",
       "5                                     inv. 48.17.14   \n",
       "6       inv. 1976.100.15, lascito Harry G. Sperling   \n",
       "7                                   inv. 1973.311.1   \n",
       "8                                  inv. 1971.115.3b   \n",
       "9                                     inv. 48.17.20   \n",
       "10                                     inv. 1984.74   \n",
       "11  inv. 16.30ab, dono di J. Pierpont Morgan (1916)   \n",
       "12                                   inv. 41.100.12   \n",
       "13                                       inv. 55.14   \n",
       "14                                 inv. 1971.115.3a   \n",
       "15                                    inv. 48.17.13   \n",
       "16                                    inv. 48.17.22   \n",
       "17                                     inv. 48.17.9   \n",
       "18                                   inv. 30.95.270   \n",
       "19                                     inv. 48.17.2   \n",
       "20                                    inv. 48.17.16   \n",
       "21                                          inv. 32   \n",
       "22                                     inv. 49.7.15   \n",
       "23                                     inv. 48.17.4   \n",
       "24                                    inv. 48.17.18   \n",
       "25                                    inv. 1981.451   \n",
       "26                                    inv. 48.17.21   \n",
       "27                                       inv. 28.79   \n",
       "28         inv. 22.16.12, dono di Dr. E.G. Stillman   \n",
       "29                                    inv. 48.17.10   \n",
       "30                                    inv. 48.17.17   \n",
       "31                   inv. 14.40.640, dono B. Altman   \n",
       "32                inv. 1982.60.8, collezione Linsky   \n",
       "33                                      inv. 06.171   \n",
       "34                                       inv. 30.83   \n",
       "35                                  inv. 1970.134.2   \n",
       "36                                    inv. 2006.409   \n",
       "37                                    inv. 48.17.15   \n",
       "38                                  inv. 1986.339.1   \n",
       "39                                     inv. 48.17.8   \n",
       "40                                     inv. 1975.97   \n",
       "41                                     inv. 48.17.1   \n",
       "42                                       inv. 36.29   \n",
       "43                                    inv. 1973.116   \n",
       "44                                    inv. 2000.420   \n",
       "45                                    inv. 48.17.11   \n",
       "46                                   inv. 32.100.80   \n",
       "47                                    inv. 48.17.19   \n",
       "48                                     inv. 48.17.3   \n",
       "49                                     inv. 48.17.6   \n",
       "50                                    inv. 17.190.8   \n",
       "51  inv. 1977.384.1, dono di Clarence Dillon (1977)   \n",
       "52               inv. 57.170, dono di Robert Lehman   \n",
       "53                                     inv. 49.7.12   \n",
       "54                                    inv. 1974.216   \n",
       "55                                     inv. 49.7.16   \n",
       "56                                    inv. 1979.209   \n",
       "57                                     inv. 1989.21   \n",
       "\n",
       "                                           surrenders  \n",
       "0   Asta Sotheby's; Ashburnham Place, collezione A...  \n",
       "1   E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "2   E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "3                                Collezione B. Altman  \n",
       "4   E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "5   E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "6   Collezione H.G. Sperling; Kleinberger Gallerie...  \n",
       "7   Asta Christie's; Harewood House, collezione Ea...  \n",
       "8                               Duveen Brothers, Inc.  \n",
       "9   E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "10  P. Corsini; Collezione S. Brunswick; Hammer Ga...  \n",
       "11  Collezione J. Pierpont Morgan; Collezioni real...  \n",
       "12                      Collezione G. e F. Blumenthal  \n",
       "13  Collezione J.H. Harding; Asta Christie's; Coll...  \n",
       "14                              Duveen Brothers, Inc.  \n",
       "15  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "16  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "17  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "18  Collezione T.M. Davis; Collezione Baude; Colle...  \n",
       "19  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "20  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "21                   Convento di S. Antonio da Padova  \n",
       "22                              Collezione J.S. Bache  \n",
       "23  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "24  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "25                               Collezione Rosendaal  \n",
       "26  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "27     Knoedler and Co.; E. Volpi; Collezione Fassati  \n",
       "28  Collezione Stillman; Asta Galerie Georges Peti...  \n",
       "29  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "30  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "31                               Collezione B. Altman  \n",
       "32                                  Collezione Linsky  \n",
       "33                            Dowdeswell & Dowdeswell  \n",
       "34  Collezione colonnello Sacchetti; Oratorio di S...  \n",
       "35  Asta Sotheby's; Ashburnham Place, collezione A...  \n",
       "36                                 Mercato antiquario  \n",
       "37  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "38  Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...  \n",
       "39  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "40  Collezione Mrs. E. Fowles; Asta Sotheby's; Col...  \n",
       "41  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "42                              Duveen Brothers, Inc.  \n",
       "43  F. Mont; Galleria Fleischmann; Kleinberger Gal...  \n",
       "44                                    Asta Christie's  \n",
       "45  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "46  Collezione Friedsam; Asta Galerie Georges Peti...  \n",
       "47  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "48  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "49  E. Sestieri; Collezione Malanca; Collezione G....  \n",
       "50                      Collezione J. Pierpont Morgan  \n",
       "51    Collezione Dillon; Collezione Chaix-d'Est Anges  \n",
       "52                               Collezione R. Lehman  \n",
       "53  Collezione J.S. Bache; Duveen Brothers, Inc.; ...  \n",
       "54  Collezione Mrs. E. Fowles; Asta Sotheby's; Col...  \n",
       "55                              Collezione J.S. Bache  \n",
       "56                                         Matthiesen  \n",
       "57                                         P. Corsini  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Works' History - Federico Zeri Catalog\n",
    "\n",
    "URI_string = \"\"\n",
    "\n",
    "for index, row in df.iterrows():\n",
    "    if len(URI_string) == 0:\n",
    "        URI_string = \"?artwork = <\" + row[\"artwork\"] + \">\"\n",
    "    else: \n",
    "        URI_string = URI_string + \"||\" + \"?artwork = <\" + row[\"artwork\"] + \">\"\n",
    "\n",
    "final_query = \"\"\"\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX crm: <http://www.cidoc-crm.org/cidoc-crm/>\n",
    "PREFIX ti: <http://www.ontologydesignpatterns.org/cp/owl/timeinterval.owl#>\n",
    "SELECT ?artwork  (count(distinct ?tras) AS ?history) (group_concat(distinct ?label_receiver ; separator = \"; \") AS ?receivers) (group_concat(distinct ?inventory ; separator = \"; \") AS ?id) (group_concat(distinct ?label_surrender ; separator = \"; \") AS ?surrenders)          \n",
    "WHERE {{\n",
    "  ?trasferimento_global crm:P30_transferred_custody_of ?artwork .\n",
    "  ?tras crm:P30_transferred_custody_of ?artwork .\n",
    "  OPTIONAL {{ ?trasferimento_global crm:P28_custody_surrendered_by ?surrender }} . \n",
    "  ?receiver crm:P29i_received_custody_through ?trasferimento_global .\n",
    "  ?artwork crm:P50_has_current_keeper <https://w3id.org/zericatalog/the-metropolitan-museum-of-art-new-york-ny> .\n",
    "  ?artwork crm:P55_has_current_location ?location .\n",
    "  ?location  crm:P3_has_note ?inventory .\n",
    "  FILTER ({0})\n",
    "  \n",
    "  ?artwork  rdfs:label ?label_artwork.\n",
    "  ?surrender rdfs:label ?label_surrender.\n",
    "  ?receiver rdfs:label ?label_receiver.\n",
    "  FILTER(?receiver != <https://w3id.org/zericatalog/>)\n",
    "  FILTER(?surrender != <https://w3id.org/zericatalog/>)\n",
    "  \n",
    "  FILTER(LANG(?label_artwork) = \"\" || LANGMATCHES(LANG(?label_artwork), \"en\"))\n",
    "  FILTER(LANG(?label_surrender) = \"\" || LANGMATCHES(LANG(?label_surrender), \"en\"))\n",
    "  FILTER(LANG(?label_receiver) = \"\" || LANGMATCHES(LANG(?label_receiver), \"en\"))\n",
    "}} GROUP BY ?artwork\n",
    "\"\"\"\n",
    "\n",
    "final_df = sparql_dataframe.get(endpoint, final_query.format(URI_string), post=True)\n",
    "final_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b90183ea",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 5: Merge multiple ids related to the same artwork</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b974c736",
   "metadata": {},
   "source": [
    "<p style=\"text-align:justify\">Our goal is to combine the two dataframes we have created so far (<code><b>italiaDataset</b></code> and <code><b>final_df</b></code>), thus, we need to align the artworks according to their Object Number (the only element shared by the two original Datasets). We then need to manipulate the column \"id\" (later renamed as \"Object Number\") of the <code><b>final_df</b></code>. First, the abbreviation \"inv.\" at the beginning of each id must be removed, so that we can effectively compare the cataloguing number. Moreover, in the Zeri RDF dataset, multiple artworks related to the same group are considered as individual, while the MET dataset considers them as a single conceptual object. Therefore, it is necessary to group the artworks' ids from the Zeri dataset.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6360080c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artwork</th>\n",
       "      <th>history</th>\n",
       "      <th>receivers</th>\n",
       "      <th>surrenders</th>\n",
       "      <th>Object Number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39117/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "      <td>1970.134.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45055/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "      <td>14.40.650</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione H.G...</td>\n",
       "      <td>Collezione H.G. Sperling; Kleinberger Gallerie...</td>\n",
       "      <td>1976.100.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/41423/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Asta Christie's</td>\n",
       "      <td>Asta Christie's; Harewood House, collezione Ea...</td>\n",
       "      <td>1973.311.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/32096/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; P. Corsini; Co...</td>\n",
       "      <td>P. Corsini; Collezione S. Brunswick; Hammer Ga...</td>\n",
       "      <td>1984.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J. ...</td>\n",
       "      <td>Collezione J. Pierpont Morgan; Collezioni real...</td>\n",
       "      <td>16.30ab</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/46494/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione G. e F. Blumenthal</td>\n",
       "      <td>41.100.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18022/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.H...</td>\n",
       "      <td>Collezione J.H. Harding; Asta Christie's; Coll...</td>\n",
       "      <td>55.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36357/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione T.M...</td>\n",
       "      <td>Collezione T.M. Davis; Collezione Baude; Colle...</td>\n",
       "      <td>30.95.270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45063/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Convento di S. Antonio da Padova</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44254/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "      <td>49.7.15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/47447/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione Rosendaal</td>\n",
       "      <td>1981.451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/50670/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Knoedler and C...</td>\n",
       "      <td>Knoedler and Co.; E. Volpi; Collezione Fassati</td>\n",
       "      <td>28.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/34631/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Sti...</td>\n",
       "      <td>Collezione Stillman; Asta Galerie Georges Peti...</td>\n",
       "      <td>22.16.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45030/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "      <td>14.40.640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35890/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione Linsky</td>\n",
       "      <td>1982.60.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35624/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Dowdeswell &amp; Dowdeswell</td>\n",
       "      <td>06.171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36230/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione col...</td>\n",
       "      <td>Collezione colonnello Sacchetti; Oratorio di S...</td>\n",
       "      <td>30.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39119/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "      <td>1970.134.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39450/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Mercato antiquario</td>\n",
       "      <td>2006.409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18917/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mr....</td>\n",
       "      <td>Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...</td>\n",
       "      <td>1986.339.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/40327/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mrs...</td>\n",
       "      <td>Collezione Mrs. E. Fowles; Asta Sotheby's; Col...</td>\n",
       "      <td>1975.97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43587/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>36.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44170/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; F. Mont; Galle...</td>\n",
       "      <td>F. Mont; Galleria Fleischmann; Kleinberger Gal...</td>\n",
       "      <td>1973.116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39542/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Asta Christie's</td>\n",
       "      <td>2000.420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36740/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Fri...</td>\n",
       "      <td>Collezione Friedsam; Asta Galerie Georges Peti...</td>\n",
       "      <td>32.100.80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/37173/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J. Pierpont Morgan</td>\n",
       "      <td>17.190.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Dillon</td>\n",
       "      <td>Collezione Dillon; Collezione Chaix-d'Est Anges</td>\n",
       "      <td>1977.384.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45329/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione R. Lehman</td>\n",
       "      <td>57.170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/item</td>\n",
       "      <td>7.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.S...</td>\n",
       "      <td>Collezione J.S. Bache; Duveen Brothers, Inc.; ...</td>\n",
       "      <td>49.7.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/40326/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mrs...</td>\n",
       "      <td>Collezione Mrs. E. Fowles; Asta Sotheby's; Col...</td>\n",
       "      <td>1974.216</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43626/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "      <td>49.7.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/48406/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Matthiesen</td>\n",
       "      <td>1979.209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35237/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>P. Corsini</td>\n",
       "      <td>1989.21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/ite...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "      <td>48.17.1–22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/60085/ite...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>1971.115.3ab</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              artwork  history  \\\n",
       "0     https://w3id.org/zericatalog/artwork/39117/item      6.0   \n",
       "3     https://w3id.org/zericatalog/artwork/45055/item      1.0   \n",
       "6     https://w3id.org/zericatalog/artwork/16633/item      4.0   \n",
       "7     https://w3id.org/zericatalog/artwork/41423/item      2.0   \n",
       "10    https://w3id.org/zericatalog/artwork/32096/item      4.0   \n",
       "11    https://w3id.org/zericatalog/artwork/45062/item      4.0   \n",
       "12    https://w3id.org/zericatalog/artwork/46494/item      1.0   \n",
       "13    https://w3id.org/zericatalog/artwork/18022/item      3.0   \n",
       "18    https://w3id.org/zericatalog/artwork/36357/item      3.0   \n",
       "21    https://w3id.org/zericatalog/artwork/45063/item      1.0   \n",
       "22    https://w3id.org/zericatalog/artwork/44254/item      1.0   \n",
       "25    https://w3id.org/zericatalog/artwork/47447/item      1.0   \n",
       "27    https://w3id.org/zericatalog/artwork/50670/item      3.0   \n",
       "28    https://w3id.org/zericatalog/artwork/34631/item      3.0   \n",
       "31    https://w3id.org/zericatalog/artwork/45030/item      1.0   \n",
       "32    https://w3id.org/zericatalog/artwork/35890/item      1.0   \n",
       "33    https://w3id.org/zericatalog/artwork/35624/item      1.0   \n",
       "34    https://w3id.org/zericatalog/artwork/36230/item      2.0   \n",
       "35    https://w3id.org/zericatalog/artwork/39119/item      6.0   \n",
       "36    https://w3id.org/zericatalog/artwork/39450/item      1.0   \n",
       "38    https://w3id.org/zericatalog/artwork/18917/item      4.0   \n",
       "40    https://w3id.org/zericatalog/artwork/40327/item      3.0   \n",
       "42    https://w3id.org/zericatalog/artwork/43587/item      1.0   \n",
       "43    https://w3id.org/zericatalog/artwork/44170/item      6.0   \n",
       "44    https://w3id.org/zericatalog/artwork/39542/item      1.0   \n",
       "46    https://w3id.org/zericatalog/artwork/36740/item      3.0   \n",
       "50    https://w3id.org/zericatalog/artwork/37173/item      1.0   \n",
       "51    https://w3id.org/zericatalog/artwork/16692/item      2.0   \n",
       "52    https://w3id.org/zericatalog/artwork/45329/item      1.0   \n",
       "53    https://w3id.org/zericatalog/artwork/33068/item      7.0   \n",
       "54    https://w3id.org/zericatalog/artwork/40326/item      3.0   \n",
       "55    https://w3id.org/zericatalog/artwork/43626/item      1.0   \n",
       "56    https://w3id.org/zericatalog/artwork/48406/item      1.0   \n",
       "57    https://w3id.org/zericatalog/artwork/35237/item      1.0   \n",
       "58  https://w3id.org/zericatalog/artwork/39828/ite...      5.0   \n",
       "59  https://w3id.org/zericatalog/artwork/60085/ite...      1.0   \n",
       "\n",
       "                                            receivers  \\\n",
       "0   The Metropolitan Museum of Art; Collezione G. ...   \n",
       "3                      The Metropolitan Museum of Art   \n",
       "6   The Metropolitan Museum of Art; Collezione H.G...   \n",
       "7     The Metropolitan Museum of Art; Asta Christie's   \n",
       "10  The Metropolitan Museum of Art; P. Corsini; Co...   \n",
       "11  The Metropolitan Museum of Art; Collezione J. ...   \n",
       "12                     The Metropolitan Museum of Art   \n",
       "13  The Metropolitan Museum of Art; Collezione J.H...   \n",
       "18  The Metropolitan Museum of Art; Collezione T.M...   \n",
       "21                     The Metropolitan Museum of Art   \n",
       "22                     The Metropolitan Museum of Art   \n",
       "25                     The Metropolitan Museum of Art   \n",
       "27  The Metropolitan Museum of Art; Knoedler and C...   \n",
       "28  The Metropolitan Museum of Art; Collezione Sti...   \n",
       "31                     The Metropolitan Museum of Art   \n",
       "32                     The Metropolitan Museum of Art   \n",
       "33                     The Metropolitan Museum of Art   \n",
       "34  The Metropolitan Museum of Art; Collezione col...   \n",
       "35  The Metropolitan Museum of Art; Collezione G. ...   \n",
       "36                     The Metropolitan Museum of Art   \n",
       "38  The Metropolitan Museum of Art; Collezione Mr....   \n",
       "40  The Metropolitan Museum of Art; Collezione Mrs...   \n",
       "42                     The Metropolitan Museum of Art   \n",
       "43  The Metropolitan Museum of Art; F. Mont; Galle...   \n",
       "44                     The Metropolitan Museum of Art   \n",
       "46  The Metropolitan Museum of Art; Collezione Fri...   \n",
       "50                     The Metropolitan Museum of Art   \n",
       "51  The Metropolitan Museum of Art; Collezione Dillon   \n",
       "52                     The Metropolitan Museum of Art   \n",
       "53  The Metropolitan Museum of Art; Collezione J.S...   \n",
       "54  The Metropolitan Museum of Art; Collezione Mrs...   \n",
       "55                     The Metropolitan Museum of Art   \n",
       "56                     The Metropolitan Museum of Art   \n",
       "57                     The Metropolitan Museum of Art   \n",
       "58  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "59                     The Metropolitan Museum of Art   \n",
       "\n",
       "                                           surrenders Object Number  \n",
       "0   Asta Sotheby's; Ashburnham Place, collezione A...    1970.134.1  \n",
       "3                                Collezione B. Altman     14.40.650  \n",
       "6   Collezione H.G. Sperling; Kleinberger Gallerie...   1976.100.15  \n",
       "7   Asta Christie's; Harewood House, collezione Ea...    1973.311.1  \n",
       "10  P. Corsini; Collezione S. Brunswick; Hammer Ga...       1984.74  \n",
       "11  Collezione J. Pierpont Morgan; Collezioni real...       16.30ab  \n",
       "12                      Collezione G. e F. Blumenthal     41.100.12  \n",
       "13  Collezione J.H. Harding; Asta Christie's; Coll...         55.14  \n",
       "18  Collezione T.M. Davis; Collezione Baude; Colle...     30.95.270  \n",
       "21                   Convento di S. Antonio da Padova            32  \n",
       "22                              Collezione J.S. Bache       49.7.15  \n",
       "25                               Collezione Rosendaal      1981.451  \n",
       "27     Knoedler and Co.; E. Volpi; Collezione Fassati         28.79  \n",
       "28  Collezione Stillman; Asta Galerie Georges Peti...      22.16.12  \n",
       "31                               Collezione B. Altman     14.40.640  \n",
       "32                                  Collezione Linsky     1982.60.8  \n",
       "33                            Dowdeswell & Dowdeswell        06.171  \n",
       "34  Collezione colonnello Sacchetti; Oratorio di S...         30.83  \n",
       "35  Asta Sotheby's; Ashburnham Place, collezione A...    1970.134.2  \n",
       "36                                 Mercato antiquario      2006.409  \n",
       "38  Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...    1986.339.1  \n",
       "40  Collezione Mrs. E. Fowles; Asta Sotheby's; Col...       1975.97  \n",
       "42                              Duveen Brothers, Inc.         36.29  \n",
       "43  F. Mont; Galleria Fleischmann; Kleinberger Gal...      1973.116  \n",
       "44                                    Asta Christie's      2000.420  \n",
       "46  Collezione Friedsam; Asta Galerie Georges Peti...     32.100.80  \n",
       "50                      Collezione J. Pierpont Morgan      17.190.8  \n",
       "51    Collezione Dillon; Collezione Chaix-d'Est Anges    1977.384.1  \n",
       "52                               Collezione R. Lehman        57.170  \n",
       "53  Collezione J.S. Bache; Duveen Brothers, Inc.; ...       49.7.12  \n",
       "54  Collezione Mrs. E. Fowles; Asta Sotheby's; Col...      1974.216  \n",
       "55                              Collezione J.S. Bache       49.7.16  \n",
       "56                                         Matthiesen      1979.209  \n",
       "57                                         P. Corsini       1989.21  \n",
       "58  E. Sestieri; Collezione Malanca; Collezione G....    48.17.1–22  \n",
       "59                              Duveen Brothers, Inc.  1971.115.3ab  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a_list = []\n",
    "\n",
    "for idx, row in final_df.iterrows():\n",
    "    a_list.append(str(row[\"id\"]).replace(\"inv. \", \"\").split(\",\")[0])\n",
    "a_list\n",
    "final_df[\"Object Number\"] = a_list\n",
    "final_df = final_df.drop(['id'], axis=1)\n",
    "\n",
    "\n",
    "ser = final_df[\"Object Number\"]\n",
    "ser = ser.tolist()\n",
    "\n",
    "id_dict = {}\n",
    "a_list = []\n",
    "\n",
    "for el in ser:\n",
    "    w = str()\n",
    "    for inn in el.split(\".\")[:-1]:\n",
    "        if len(w) > 0:\n",
    "            w = w + \".\" + inn\n",
    "        else:\n",
    "            w = w + inn\n",
    "    if w not in id_dict:\n",
    "        id_dict[w] = [el]\n",
    "    else:\n",
    "        a = id_dict[w]\n",
    "        a.append(el)\n",
    "        id_dict[w] = a\n",
    "\n",
    "artwork_uris = []\n",
    "\n",
    "number_rows = final_df.shape[0]\n",
    "\n",
    "for el in id_dict[\"48.17\"]:\n",
    "    for idx, row in final_df.iterrows():\n",
    "        if el == row[\"Object Number\"]:\n",
    "            history = row[\"history\"]\n",
    "            receivers = row[\"receivers\"]\n",
    "            surrenders = row[\"surrenders\"]\n",
    "            artwork_uris.append(row[\"artwork\"])\n",
    "            final_df = final_df.drop([idx])\n",
    "\n",
    "final_df.loc[number_rows, :] = [(\", \".join(artwork_uris)), history, receivers, surrenders, \"48.17.1–22\"]\n",
    "number_rows = number_rows + 1\n",
    "\n",
    "artwork_uris = []\n",
    "for el in id_dict[\"1971.115\"]:\n",
    "    for idx, row in final_df.iterrows():\n",
    "        if el == row[\"Object Number\"]:\n",
    "            history = row[\"history\"]\n",
    "            receivers = row[\"receivers\"]\n",
    "            surrenders = row[\"surrenders\"]\n",
    "            artwork_uris.append(row[\"artwork\"])\n",
    "            final_df = final_df.drop([idx])\n",
    "            \n",
    "final_df.loc[number_rows, :] = [(\", \".join(artwork_uris)), history, receivers, surrenders, \"1971.115.3ab\"]\n",
    "final_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "873f139c",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 6: Merge the Dataframes</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad377561",
   "metadata": {},
   "source": [
    "<p>We are now ready to merge our Dataframes (<code><b>italiaDataset</b></code> and <code><b>final_df</b></code>). In this way, the data from the two datasets (MET and Zeri Catalog) will be aligned in a unique Dataframe.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "26f78894",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>artwork</th>\n",
       "      <th>history</th>\n",
       "      <th>receivers</th>\n",
       "      <th>surrenders</th>\n",
       "      <th>Object Number</th>\n",
       "      <th>Is Highlight</th>\n",
       "      <th>Is Timeline Work</th>\n",
       "      <th>Is Public Domain</th>\n",
       "      <th>Object ID</th>\n",
       "      <th>Gallery Number</th>\n",
       "      <th>...</th>\n",
       "      <th>River</th>\n",
       "      <th>Classification</th>\n",
       "      <th>Rights and Reproduction</th>\n",
       "      <th>Link Resource</th>\n",
       "      <th>Object Wikidata URL</th>\n",
       "      <th>Metadata Date</th>\n",
       "      <th>Repository</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Tags AAT URL</th>\n",
       "      <th>Tags Wikidata URL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39117/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "      <td>1970.134.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>436567</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911541</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Infants|Women|Saint John the Baptist|Bedrooms|...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300189561|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q998|https://www...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45055/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "      <td>14.40.650</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437823</td>\n",
       "      <td>608.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19904807</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione H.G...</td>\n",
       "      <td>Collezione H.G. Sperling; Kleinberger Gallerie...</td>\n",
       "      <td>1976.100.15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>436770</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912153</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Holy Family|Saint Joseph|Christ|Virgin Mary</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901001175|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q618057|https://...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/41423/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Asta Christie's</td>\n",
       "      <td>Asta Christie's; Harewood House, collezione Ea...</td>\n",
       "      <td>1973.311.1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>435722</td>\n",
       "      <td>626.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905185</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Armor|Boys|Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300226591|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q20793164|https:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/32096/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; P. Corsini; Co...</td>\n",
       "      <td>P. Corsini; Collezione S. Brunswick; Hammer Ga...</td>\n",
       "      <td>1984.74</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437342</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911628</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Sadness|Suffering|Mary Magdalene|Saint John th...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300055166|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q169251|https://...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J. ...</td>\n",
       "      <td>Collezione J. Pierpont Morgan; Collezioni real...</td>\n",
       "      <td>16.30ab</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437372</td>\n",
       "      <td>962.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q27033728</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child|Saint Catherine|Saint John t...</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052| |htt...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699| |https...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/46494/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione G. e F. Blumenthal</td>\n",
       "      <td>41.100.12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437822</td>\n",
       "      <td>608.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905075</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18022/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.H...</td>\n",
       "      <td>Collezione J.H. Harding; Asta Christie's; Coll...</td>\n",
       "      <td>55.14</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437598</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912783</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44254/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "      <td>49.7.15</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437824</td>\n",
       "      <td>626.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3842385</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/50670/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Knoedler and C...</td>\n",
       "      <td>Knoedler and Co.; E. Volpi; Collezione Fassati</td>\n",
       "      <td>28.79</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437158</td>\n",
       "      <td>626.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911585</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/34631/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Sti...</td>\n",
       "      <td>Collezione Stillman; Asta Galerie Georges Peti...</td>\n",
       "      <td>22.16.12</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437698</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911774</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Christ</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000087</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q642420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45030/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione B. Altman</td>\n",
       "      <td>14.40.640</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437825</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3937410</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35890/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione Linsky</td>\n",
       "      <td>1982.60.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435615</td>\n",
       "      <td>537.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911987</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35624/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Dowdeswell &amp; Dowdeswell</td>\n",
       "      <td>06.171</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435614</td>\n",
       "      <td>606.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3842520</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child|Saint John the Baptist</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36230/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione col...</td>\n",
       "      <td>Collezione colonnello Sacchetti; Oratorio di S...</td>\n",
       "      <td>30.83</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435824</td>\n",
       "      <td>962.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905397</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child|Mary Magdalene|Saint John th...</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39119/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione G. ...</td>\n",
       "      <td>Asta Sotheby's; Ashburnham Place, collezione A...</td>\n",
       "      <td>1970.134.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>436568</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911622</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Women|Saint John the Baptist|Christ</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39450/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Mercato antiquario</td>\n",
       "      <td>2006.409</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>438445</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912177</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Crucifixion|Christ|Soldiers|Men|Virgin Mary|Re...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300404300|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3235597|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/18917/item</td>\n",
       "      <td>4.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Mr....</td>\n",
       "      <td>Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...</td>\n",
       "      <td>1986.339.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437275</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905452</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits|Monks|Writing</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43587/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>36.29</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437827</td>\n",
       "      <td>608.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911412</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Lutes|Venus|Musicians|Female Nudes|Cupid</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300042101|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q180733|https://...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/44170/item</td>\n",
       "      <td>6.0</td>\n",
       "      <td>The Metropolitan Museum of Art; F. Mont; Galle...</td>\n",
       "      <td>F. Mont; Galleria Fleischmann; Kleinberger Gal...</td>\n",
       "      <td>1973.116</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437638</td>\n",
       "      <td>608.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905139</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Women|Cupid|Psyche|Male Nudes|Female Nudes</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39542/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Asta Christie's</td>\n",
       "      <td>2000.420</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>438432</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905389</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/36740/item</td>\n",
       "      <td>3.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Fri...</td>\n",
       "      <td>Collezione Friedsam; Asta Galerie Georges Peti...</td>\n",
       "      <td>32.100.80</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>436494</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912339</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child|Nativity|Saints|Men|Saint Jo...</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/37173/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J. Pierpont Morgan</td>\n",
       "      <td>17.190.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437832</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912117</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/item</td>\n",
       "      <td>2.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione Dillon</td>\n",
       "      <td>Collezione Dillon; Collezione Chaix-d'Est Anges</td>\n",
       "      <td>1977.384.1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>436771</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911651</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits|Artists</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45329/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione R. Lehman</td>\n",
       "      <td>57.170</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437242</td>\n",
       "      <td>954.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912904</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Crucifixion|Christ|Soldiers|Men|Horses|Virgin ...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300404300|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3235597|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/item</td>\n",
       "      <td>7.0</td>\n",
       "      <td>The Metropolitan Museum of Art; Collezione J.S...</td>\n",
       "      <td>Collezione J.S. Bache; Duveen Brothers, Inc.; ...</td>\n",
       "      <td>49.7.12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437373</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19911650</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/43626/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Collezione J.S. Bache</td>\n",
       "      <td>49.7.16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437826</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q4009570</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Cupid|Adonis|Venus|Dogs</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300380105|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q5011|https://ww...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/48406/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Matthiesen</td>\n",
       "      <td>1979.209</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>437336</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905371</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Madonna and Child|Saints|Angels</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000052|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q9309699|https:/...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/35237/item</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>P. Corsini</td>\n",
       "      <td>1989.21</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>436499</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912736</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Bow and Arrow|Diana|Deer|Female Nudes</td>\n",
       "      <td>|http://vocab.getty.edu/page/ia/901000118|htt...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19827042|https:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/ite...</td>\n",
       "      <td>5.0</td>\n",
       "      <td>The Metropolitan Museum of Art; E. Sestieri; C...</td>\n",
       "      <td>E. Sestieri; Collezione Malanca; Collezione G....</td>\n",
       "      <td>48.17.1–22</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>437274</td>\n",
       "      <td>None</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912390</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Bow and Arrow|Centaurs|Cupid|Apollo|Hercules|J...</td>\n",
       "      <td>|http://vocab.getty.edu/page/aat/300379740|ht...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19827042|https:...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/60085/ite...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>The Metropolitan Museum of Art</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>1971.115.3ab</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435823</td>\n",
       "      <td>606.0</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>Paintings</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912183</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Eve|Snakes|Adam</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000205|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q830183|https://...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 58 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              artwork  history  \\\n",
       "0     https://w3id.org/zericatalog/artwork/39117/item      6.0   \n",
       "1     https://w3id.org/zericatalog/artwork/45055/item      1.0   \n",
       "2     https://w3id.org/zericatalog/artwork/16633/item      4.0   \n",
       "3     https://w3id.org/zericatalog/artwork/41423/item      2.0   \n",
       "4     https://w3id.org/zericatalog/artwork/32096/item      4.0   \n",
       "5     https://w3id.org/zericatalog/artwork/45062/item      4.0   \n",
       "6     https://w3id.org/zericatalog/artwork/46494/item      1.0   \n",
       "7     https://w3id.org/zericatalog/artwork/18022/item      3.0   \n",
       "8     https://w3id.org/zericatalog/artwork/44254/item      1.0   \n",
       "9     https://w3id.org/zericatalog/artwork/50670/item      3.0   \n",
       "10    https://w3id.org/zericatalog/artwork/34631/item      3.0   \n",
       "11    https://w3id.org/zericatalog/artwork/45030/item      1.0   \n",
       "12    https://w3id.org/zericatalog/artwork/35890/item      1.0   \n",
       "13    https://w3id.org/zericatalog/artwork/35624/item      1.0   \n",
       "14    https://w3id.org/zericatalog/artwork/36230/item      2.0   \n",
       "15    https://w3id.org/zericatalog/artwork/39119/item      6.0   \n",
       "16    https://w3id.org/zericatalog/artwork/39450/item      1.0   \n",
       "17    https://w3id.org/zericatalog/artwork/18917/item      4.0   \n",
       "18    https://w3id.org/zericatalog/artwork/43587/item      1.0   \n",
       "19    https://w3id.org/zericatalog/artwork/44170/item      6.0   \n",
       "20    https://w3id.org/zericatalog/artwork/39542/item      1.0   \n",
       "21    https://w3id.org/zericatalog/artwork/36740/item      3.0   \n",
       "22    https://w3id.org/zericatalog/artwork/37173/item      1.0   \n",
       "23    https://w3id.org/zericatalog/artwork/16692/item      2.0   \n",
       "24    https://w3id.org/zericatalog/artwork/45329/item      1.0   \n",
       "25    https://w3id.org/zericatalog/artwork/33068/item      7.0   \n",
       "26    https://w3id.org/zericatalog/artwork/43626/item      1.0   \n",
       "27    https://w3id.org/zericatalog/artwork/48406/item      1.0   \n",
       "28    https://w3id.org/zericatalog/artwork/35237/item      1.0   \n",
       "29  https://w3id.org/zericatalog/artwork/39828/ite...      5.0   \n",
       "30  https://w3id.org/zericatalog/artwork/60085/ite...      1.0   \n",
       "\n",
       "                                            receivers  \\\n",
       "0   The Metropolitan Museum of Art; Collezione G. ...   \n",
       "1                      The Metropolitan Museum of Art   \n",
       "2   The Metropolitan Museum of Art; Collezione H.G...   \n",
       "3     The Metropolitan Museum of Art; Asta Christie's   \n",
       "4   The Metropolitan Museum of Art; P. Corsini; Co...   \n",
       "5   The Metropolitan Museum of Art; Collezione J. ...   \n",
       "6                      The Metropolitan Museum of Art   \n",
       "7   The Metropolitan Museum of Art; Collezione J.H...   \n",
       "8                      The Metropolitan Museum of Art   \n",
       "9   The Metropolitan Museum of Art; Knoedler and C...   \n",
       "10  The Metropolitan Museum of Art; Collezione Sti...   \n",
       "11                     The Metropolitan Museum of Art   \n",
       "12                     The Metropolitan Museum of Art   \n",
       "13                     The Metropolitan Museum of Art   \n",
       "14  The Metropolitan Museum of Art; Collezione col...   \n",
       "15  The Metropolitan Museum of Art; Collezione G. ...   \n",
       "16                     The Metropolitan Museum of Art   \n",
       "17  The Metropolitan Museum of Art; Collezione Mr....   \n",
       "18                     The Metropolitan Museum of Art   \n",
       "19  The Metropolitan Museum of Art; F. Mont; Galle...   \n",
       "20                     The Metropolitan Museum of Art   \n",
       "21  The Metropolitan Museum of Art; Collezione Fri...   \n",
       "22                     The Metropolitan Museum of Art   \n",
       "23  The Metropolitan Museum of Art; Collezione Dillon   \n",
       "24                     The Metropolitan Museum of Art   \n",
       "25  The Metropolitan Museum of Art; Collezione J.S...   \n",
       "26                     The Metropolitan Museum of Art   \n",
       "27                     The Metropolitan Museum of Art   \n",
       "28                     The Metropolitan Museum of Art   \n",
       "29  The Metropolitan Museum of Art; E. Sestieri; C...   \n",
       "30                     The Metropolitan Museum of Art   \n",
       "\n",
       "                                           surrenders Object Number  \\\n",
       "0   Asta Sotheby's; Ashburnham Place, collezione A...    1970.134.1   \n",
       "1                                Collezione B. Altman     14.40.650   \n",
       "2   Collezione H.G. Sperling; Kleinberger Gallerie...   1976.100.15   \n",
       "3   Asta Christie's; Harewood House, collezione Ea...    1973.311.1   \n",
       "4   P. Corsini; Collezione S. Brunswick; Hammer Ga...       1984.74   \n",
       "5   Collezione J. Pierpont Morgan; Collezioni real...       16.30ab   \n",
       "6                       Collezione G. e F. Blumenthal     41.100.12   \n",
       "7   Collezione J.H. Harding; Asta Christie's; Coll...         55.14   \n",
       "8                               Collezione J.S. Bache       49.7.15   \n",
       "9      Knoedler and Co.; E. Volpi; Collezione Fassati         28.79   \n",
       "10  Collezione Stillman; Asta Galerie Georges Peti...      22.16.12   \n",
       "11                               Collezione B. Altman     14.40.640   \n",
       "12                                  Collezione Linsky     1982.60.8   \n",
       "13                            Dowdeswell & Dowdeswell        06.171   \n",
       "14  Collezione colonnello Sacchetti; Oratorio di S...         30.83   \n",
       "15  Asta Sotheby's; Ashburnham Place, collezione A...    1970.134.2   \n",
       "16                                 Mercato antiquario      2006.409   \n",
       "17  Collezione Mr. e Mrs. C.B. Wrightsman; Asta So...    1986.339.1   \n",
       "18                              Duveen Brothers, Inc.         36.29   \n",
       "19  F. Mont; Galleria Fleischmann; Kleinberger Gal...      1973.116   \n",
       "20                                    Asta Christie's      2000.420   \n",
       "21  Collezione Friedsam; Asta Galerie Georges Peti...     32.100.80   \n",
       "22                      Collezione J. Pierpont Morgan      17.190.8   \n",
       "23    Collezione Dillon; Collezione Chaix-d'Est Anges    1977.384.1   \n",
       "24                               Collezione R. Lehman        57.170   \n",
       "25  Collezione J.S. Bache; Duveen Brothers, Inc.; ...       49.7.12   \n",
       "26                              Collezione J.S. Bache       49.7.16   \n",
       "27                                         Matthiesen      1979.209   \n",
       "28                                         P. Corsini       1989.21   \n",
       "29  E. Sestieri; Collezione Malanca; Collezione G....    48.17.1–22   \n",
       "30                              Duveen Brothers, Inc.  1971.115.3ab   \n",
       "\n",
       "    Is Highlight  Is Timeline Work  Is Public Domain  Object ID  \\\n",
       "0              0                 0                 1     436567   \n",
       "1              0                 1                 1     437823   \n",
       "2              0                 0                 1     436770   \n",
       "3              0                 1                 1     435722   \n",
       "4              0                 1                 1     437342   \n",
       "5              1                 1                 1     437372   \n",
       "6              0                 1                 1     437822   \n",
       "7              0                 1                 1     437598   \n",
       "8              0                 0                 1     437824   \n",
       "9              0                 1                 1     437158   \n",
       "10             0                 1                 1     437698   \n",
       "11             0                 1                 1     437825   \n",
       "12             0                 0                 1     435615   \n",
       "13             0                 0                 1     435614   \n",
       "14             0                 0                 1     435824   \n",
       "15             0                 0                 1     436568   \n",
       "16             0                 1                 1     438445   \n",
       "17             0                 0                 1     437275   \n",
       "18             0                 1                 1     437827   \n",
       "19             0                 1                 1     437638   \n",
       "20             0                 0                 1     438432   \n",
       "21             0                 0                 1     436494   \n",
       "22             0                 0                 1     437832   \n",
       "23             0                 0                 1     436771   \n",
       "24             0                 0                 1     437242   \n",
       "25             0                 0                 1     437373   \n",
       "26             1                 1                 1     437826   \n",
       "27             0                 1                 1     437336   \n",
       "28             0                 1                 1     436499   \n",
       "29             0                 0                 1     437274   \n",
       "30             0                 0                 1     435823   \n",
       "\n",
       "   Gallery Number  ... River Classification Rights and Reproduction  \\\n",
       "0            None  ...  None      Paintings                    None   \n",
       "1           608.0  ...  None      Paintings                    None   \n",
       "2            None  ...  None      Paintings                    None   \n",
       "3           626.0  ...  None      Paintings                    None   \n",
       "4            None  ...  None      Paintings                    None   \n",
       "5           962.0  ...  None      Paintings                    None   \n",
       "6           608.0  ...  None      Paintings                    None   \n",
       "7            None  ...  None      Paintings                    None   \n",
       "8           626.0  ...  None      Paintings                    None   \n",
       "9           626.0  ...  None      Paintings                    None   \n",
       "10           None  ...  None      Paintings                    None   \n",
       "11           None  ...  None      Paintings                    None   \n",
       "12          537.0  ...  None      Paintings                    None   \n",
       "13          606.0  ...  None      Paintings                    None   \n",
       "14          962.0  ...  None      Paintings                    None   \n",
       "15           None  ...  None      Paintings                    None   \n",
       "16           None  ...  None      Paintings                    None   \n",
       "17           None  ...  None      Paintings                    None   \n",
       "18          608.0  ...  None      Paintings                    None   \n",
       "19          608.0  ...  None      Paintings                    None   \n",
       "20           None  ...  None      Paintings                    None   \n",
       "21           None  ...  None      Paintings                    None   \n",
       "22           None  ...  None      Paintings                    None   \n",
       "23           None  ...  None      Paintings                    None   \n",
       "24          954.0  ...  None      Paintings                    None   \n",
       "25           None  ...  None      Paintings                    None   \n",
       "26           None  ...  None      Paintings                    None   \n",
       "27           None  ...  None      Paintings                    None   \n",
       "28           None  ...  None      Paintings                    None   \n",
       "29           None  ...  None      Paintings                    None   \n",
       "30          606.0  ...  None      Paintings                    None   \n",
       "\n",
       "                                        Link Resource  \\\n",
       "0   http://www.metmuseum.org/art/collection/search...   \n",
       "1   http://www.metmuseum.org/art/collection/search...   \n",
       "2   http://www.metmuseum.org/art/collection/search...   \n",
       "3   http://www.metmuseum.org/art/collection/search...   \n",
       "4   http://www.metmuseum.org/art/collection/search...   \n",
       "5   http://www.metmuseum.org/art/collection/search...   \n",
       "6   http://www.metmuseum.org/art/collection/search...   \n",
       "7   http://www.metmuseum.org/art/collection/search...   \n",
       "8   http://www.metmuseum.org/art/collection/search...   \n",
       "9   http://www.metmuseum.org/art/collection/search...   \n",
       "10  http://www.metmuseum.org/art/collection/search...   \n",
       "11  http://www.metmuseum.org/art/collection/search...   \n",
       "12  http://www.metmuseum.org/art/collection/search...   \n",
       "13  http://www.metmuseum.org/art/collection/search...   \n",
       "14  http://www.metmuseum.org/art/collection/search...   \n",
       "15  http://www.metmuseum.org/art/collection/search...   \n",
       "16  http://www.metmuseum.org/art/collection/search...   \n",
       "17  http://www.metmuseum.org/art/collection/search...   \n",
       "18  http://www.metmuseum.org/art/collection/search...   \n",
       "19  http://www.metmuseum.org/art/collection/search...   \n",
       "20  http://www.metmuseum.org/art/collection/search...   \n",
       "21  http://www.metmuseum.org/art/collection/search...   \n",
       "22  http://www.metmuseum.org/art/collection/search...   \n",
       "23  http://www.metmuseum.org/art/collection/search...   \n",
       "24  http://www.metmuseum.org/art/collection/search...   \n",
       "25  http://www.metmuseum.org/art/collection/search...   \n",
       "26  http://www.metmuseum.org/art/collection/search...   \n",
       "27  http://www.metmuseum.org/art/collection/search...   \n",
       "28  http://www.metmuseum.org/art/collection/search...   \n",
       "29  http://www.metmuseum.org/art/collection/search...   \n",
       "30  http://www.metmuseum.org/art/collection/search...   \n",
       "\n",
       "                        Object Wikidata URL Metadata Date  \\\n",
       "0   https://www.wikidata.org/wiki/Q19911541          None   \n",
       "1   https://www.wikidata.org/wiki/Q19904807          None   \n",
       "2   https://www.wikidata.org/wiki/Q19912153          None   \n",
       "3   https://www.wikidata.org/wiki/Q19905185          None   \n",
       "4   https://www.wikidata.org/wiki/Q19911628          None   \n",
       "5   https://www.wikidata.org/wiki/Q27033728          None   \n",
       "6   https://www.wikidata.org/wiki/Q19905075          None   \n",
       "7   https://www.wikidata.org/wiki/Q19912783          None   \n",
       "8    https://www.wikidata.org/wiki/Q3842385          None   \n",
       "9   https://www.wikidata.org/wiki/Q19911585          None   \n",
       "10  https://www.wikidata.org/wiki/Q19911774          None   \n",
       "11   https://www.wikidata.org/wiki/Q3937410          None   \n",
       "12  https://www.wikidata.org/wiki/Q19911987          None   \n",
       "13   https://www.wikidata.org/wiki/Q3842520          None   \n",
       "14  https://www.wikidata.org/wiki/Q19905397          None   \n",
       "15  https://www.wikidata.org/wiki/Q19911622          None   \n",
       "16  https://www.wikidata.org/wiki/Q19912177          None   \n",
       "17  https://www.wikidata.org/wiki/Q19905452          None   \n",
       "18  https://www.wikidata.org/wiki/Q19911412          None   \n",
       "19  https://www.wikidata.org/wiki/Q19905139          None   \n",
       "20  https://www.wikidata.org/wiki/Q19905389          None   \n",
       "21  https://www.wikidata.org/wiki/Q19912339          None   \n",
       "22  https://www.wikidata.org/wiki/Q19912117          None   \n",
       "23  https://www.wikidata.org/wiki/Q19911651          None   \n",
       "24  https://www.wikidata.org/wiki/Q19912904          None   \n",
       "25  https://www.wikidata.org/wiki/Q19911650          None   \n",
       "26   https://www.wikidata.org/wiki/Q4009570          None   \n",
       "27  https://www.wikidata.org/wiki/Q19905371          None   \n",
       "28  https://www.wikidata.org/wiki/Q19912736          None   \n",
       "29  https://www.wikidata.org/wiki/Q19912390          None   \n",
       "30  https://www.wikidata.org/wiki/Q19912183          None   \n",
       "\n",
       "                                  Repository  \\\n",
       "0   Metropolitan Museum of Art, New York, NY   \n",
       "1   Metropolitan Museum of Art, New York, NY   \n",
       "2   Metropolitan Museum of Art, New York, NY   \n",
       "3   Metropolitan Museum of Art, New York, NY   \n",
       "4   Metropolitan Museum of Art, New York, NY   \n",
       "5   Metropolitan Museum of Art, New York, NY   \n",
       "6   Metropolitan Museum of Art, New York, NY   \n",
       "7   Metropolitan Museum of Art, New York, NY   \n",
       "8   Metropolitan Museum of Art, New York, NY   \n",
       "9   Metropolitan Museum of Art, New York, NY   \n",
       "10  Metropolitan Museum of Art, New York, NY   \n",
       "11  Metropolitan Museum of Art, New York, NY   \n",
       "12  Metropolitan Museum of Art, New York, NY   \n",
       "13  Metropolitan Museum of Art, New York, NY   \n",
       "14  Metropolitan Museum of Art, New York, NY   \n",
       "15  Metropolitan Museum of Art, New York, NY   \n",
       "16  Metropolitan Museum of Art, New York, NY   \n",
       "17  Metropolitan Museum of Art, New York, NY   \n",
       "18  Metropolitan Museum of Art, New York, NY   \n",
       "19  Metropolitan Museum of Art, New York, NY   \n",
       "20  Metropolitan Museum of Art, New York, NY   \n",
       "21  Metropolitan Museum of Art, New York, NY   \n",
       "22  Metropolitan Museum of Art, New York, NY   \n",
       "23  Metropolitan Museum of Art, New York, NY   \n",
       "24  Metropolitan Museum of Art, New York, NY   \n",
       "25  Metropolitan Museum of Art, New York, NY   \n",
       "26  Metropolitan Museum of Art, New York, NY   \n",
       "27  Metropolitan Museum of Art, New York, NY   \n",
       "28  Metropolitan Museum of Art, New York, NY   \n",
       "29  Metropolitan Museum of Art, New York, NY   \n",
       "30  Metropolitan Museum of Art, New York, NY   \n",
       "\n",
       "                                                 Tags  \\\n",
       "0   Infants|Women|Saint John the Baptist|Bedrooms|...   \n",
       "1                                       Men|Portraits   \n",
       "2         Holy Family|Saint Joseph|Christ|Virgin Mary   \n",
       "3                            Armor|Boys|Men|Portraits   \n",
       "4   Sadness|Suffering|Mary Magdalene|Saint John th...   \n",
       "5   Madonna and Child|Saint Catherine|Saint John t...   \n",
       "6                                       Men|Portraits   \n",
       "7                                       Men|Portraits   \n",
       "8                                   Madonna and Child   \n",
       "9                                       Men|Portraits   \n",
       "10                                             Christ   \n",
       "11                                      Men|Portraits   \n",
       "12                                      Men|Portraits   \n",
       "13           Madonna and Child|Saint John the Baptist   \n",
       "14  Madonna and Child|Mary Magdalene|Saint John th...   \n",
       "15            Men|Women|Saint John the Baptist|Christ   \n",
       "16  Crucifixion|Christ|Soldiers|Men|Virgin Mary|Re...   \n",
       "17                        Men|Portraits|Monks|Writing   \n",
       "18           Lutes|Venus|Musicians|Female Nudes|Cupid   \n",
       "19     Men|Women|Cupid|Psyche|Male Nudes|Female Nudes   \n",
       "20                                  Madonna and Child   \n",
       "21  Madonna and Child|Nativity|Saints|Men|Saint Jo...   \n",
       "22                                      Men|Portraits   \n",
       "23                              Men|Portraits|Artists   \n",
       "24  Crucifixion|Christ|Soldiers|Men|Horses|Virgin ...   \n",
       "25                                      Men|Portraits   \n",
       "26                            Cupid|Adonis|Venus|Dogs   \n",
       "27                    Madonna and Child|Saints|Angels   \n",
       "28              Bow and Arrow|Diana|Deer|Female Nudes   \n",
       "29  Bow and Arrow|Centaurs|Cupid|Apollo|Hercules|J...   \n",
       "30                                    Eve|Snakes|Adam   \n",
       "\n",
       "                                         Tags AAT URL  \\\n",
       "0   http://vocab.getty.edu/page/aat/300189561|http...   \n",
       "1   http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "2   http://vocab.getty.edu/page/ia/901001175|http:...   \n",
       "3   http://vocab.getty.edu/page/aat/300226591|http...   \n",
       "4   http://vocab.getty.edu/page/aat/300055166|http...   \n",
       "5   http://vocab.getty.edu/page/ia/901000052| |htt...   \n",
       "6   http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "7   http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "8            http://vocab.getty.edu/page/ia/901000052   \n",
       "9   http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "10           http://vocab.getty.edu/page/ia/901000087   \n",
       "11  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "12  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "13  http://vocab.getty.edu/page/ia/901000052|http:...   \n",
       "14  http://vocab.getty.edu/page/ia/901000052|http:...   \n",
       "15  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "16  http://vocab.getty.edu/page/aat/300404300|http...   \n",
       "17  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "18  http://vocab.getty.edu/page/aat/300042101|http...   \n",
       "19  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "20           http://vocab.getty.edu/page/ia/901000052   \n",
       "21  http://vocab.getty.edu/page/ia/901000052|http:...   \n",
       "22  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "23  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "24  http://vocab.getty.edu/page/aat/300404300|http...   \n",
       "25  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "26  http://vocab.getty.edu/page/aat/300380105|http...   \n",
       "27  http://vocab.getty.edu/page/ia/901000052|http:...   \n",
       "28   |http://vocab.getty.edu/page/ia/901000118|htt...   \n",
       "29   |http://vocab.getty.edu/page/aat/300379740|ht...   \n",
       "30  http://vocab.getty.edu/page/ia/901000205|http:...   \n",
       "\n",
       "                                    Tags Wikidata URL  \n",
       "0   https://www.wikidata.org/wiki/Q998|https://www...  \n",
       "1   https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "2   https://www.wikidata.org/wiki/Q618057|https://...  \n",
       "3   https://www.wikidata.org/wiki/Q20793164|https:...  \n",
       "4   https://www.wikidata.org/wiki/Q169251|https://...  \n",
       "5   https://www.wikidata.org/wiki/Q9309699| |https...  \n",
       "6   https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "7   https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "8              https://www.wikidata.org/wiki/Q9309699  \n",
       "9   https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "10              https://www.wikidata.org/wiki/Q642420  \n",
       "11  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "12  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "13  https://www.wikidata.org/wiki/Q9309699|https:/...  \n",
       "14  https://www.wikidata.org/wiki/Q9309699|https:/...  \n",
       "15  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "16  https://www.wikidata.org/wiki/Q3235597|https:/...  \n",
       "17  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "18  https://www.wikidata.org/wiki/Q180733|https://...  \n",
       "19  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "20             https://www.wikidata.org/wiki/Q9309699  \n",
       "21  https://www.wikidata.org/wiki/Q9309699|https:/...  \n",
       "22  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "23  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "24  https://www.wikidata.org/wiki/Q3235597|https:/...  \n",
       "25  https://www.wikidata.org/wiki/Q8441|https://ww...  \n",
       "26  https://www.wikidata.org/wiki/Q5011|https://ww...  \n",
       "27  https://www.wikidata.org/wiki/Q9309699|https:/...  \n",
       "28  https://www.wikidata.org/wiki/Q19827042|https:...  \n",
       "29  https://www.wikidata.org/wiki/Q19827042|https:...  \n",
       "30  https://www.wikidata.org/wiki/Q830183|https://...  \n",
       "\n",
       "[31 rows x 58 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#merging MET and Federico Zeri\n",
    "\n",
    "from pandas import merge\n",
    "\n",
    "\n",
    "result = pd.merge(final_df, italianDataset)\n",
    "result.rename(columns={\"Artist Alpha Sort\":\"ArtistAlphaSort\"},inplace=True)\n",
    "result.to_csv(\"data_management/result.csv\")\n",
    "result"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05307280",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 7: retrieve further details about the entities involved in the artworks' cusotdy</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "702f280b",
   "metadata": {},
   "source": [
    "<p style=\"text-align:justify\">The Zeri Dataset presents further details about some custody periods during which a certain artwork was kept by a specific entity. It is then possible to retrieve the time-span and the location of the custody through a SPARQL query. The last column of the new DataFrame (\"location\"), contains useful references to controlled knowledge bases/datasets.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "036917de",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "    }\n",
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       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>custody</th>\n",
       "      <th>time_span</th>\n",
       "      <th>start_date</th>\n",
       "      <th>end_date</th>\n",
       "      <th>place_label</th>\n",
       "      <th>label_receiver</th>\n",
       "      <th>location</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1949-1958</td>\n",
       "      <td>1949-01-01T00:00:00Z</td>\n",
       "      <td>1958-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione O. Wertheimer</td>\n",
       "      <td>http://sws.geonames.org/2988507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1949-1958</td>\n",
       "      <td>1949-01-01T00:00:00Z</td>\n",
       "      <td>1958-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione O. Wertheimer</td>\n",
       "      <td>http://www.wikidata.org/entity/Q90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16633/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1949-1958</td>\n",
       "      <td>1949-01-01T00:00:00Z</td>\n",
       "      <td>1958-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione O. Wertheimer</td>\n",
       "      <td>http://dbpedia.org/resource/Paris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1934-1977</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>1977-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Dillon</td>\n",
       "      <td>http://sws.geonames.org/2988507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1934-1977</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>1977-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Dillon</td>\n",
       "      <td>http://www.wikidata.org/entity/Q90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1934-1977</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>1977-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Dillon</td>\n",
       "      <td>http://dbpedia.org/resource/Paris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1836-1934</td>\n",
       "      <td>1836-01-01T00:00:00Z</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Chaix-d'Est Anges</td>\n",
       "      <td>http://sws.geonames.org/2988507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1836-1934</td>\n",
       "      <td>1836-01-01T00:00:00Z</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Chaix-d'Est Anges</td>\n",
       "      <td>http://www.wikidata.org/entity/Q90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/16692/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1836-1934</td>\n",
       "      <td>1836-01-01T00:00:00Z</td>\n",
       "      <td>1934-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>Collezione Chaix-d'Est Anges</td>\n",
       "      <td>http://dbpedia.org/resource/Paris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1928</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1928-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>https://w3id.org/zericatalog/place/london</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1928</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1928-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>http://sws.geonames.org/2643743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1928</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1928-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>http://www.wikidata.org/entity/Q84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1928</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1928-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Duveen Brothers, Inc.</td>\n",
       "      <td>http://dbpedia.org/resource/London</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1925</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Agnew's</td>\n",
       "      <td>https://w3id.org/zericatalog/place/london</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1925</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Agnew's</td>\n",
       "      <td>http://sws.geonames.org/2643743</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1925</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Agnew's</td>\n",
       "      <td>http://www.wikidata.org/entity/Q84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1925-1925</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>1925-01-01T00:00:00Z</td>\n",
       "      <td>Londra</td>\n",
       "      <td>Agnew's</td>\n",
       "      <td>http://dbpedia.org/resource/London</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1905-1907</td>\n",
       "      <td>1905-01-01T00:00:00Z</td>\n",
       "      <td>1907-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>C. Sedelmeyer</td>\n",
       "      <td>http://sws.geonames.org/2988507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1905-1907</td>\n",
       "      <td>1905-01-01T00:00:00Z</td>\n",
       "      <td>1907-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>C. Sedelmeyer</td>\n",
       "      <td>http://www.wikidata.org/entity/Q90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/33068/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1905-1907</td>\n",
       "      <td>1905-01-01T00:00:00Z</td>\n",
       "      <td>1907-01-01T00:00:00Z</td>\n",
       "      <td>Parigi</td>\n",
       "      <td>C. Sedelmeyer</td>\n",
       "      <td>http://dbpedia.org/resource/Paris</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1947-1947</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>E. Sestieri</td>\n",
       "      <td>http://sws.geonames.org/3169069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1947-1947</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>E. Sestieri</td>\n",
       "      <td>http://www.wikidata.org/entity/Q15119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1947-1947</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>E. Sestieri</td>\n",
       "      <td>http://dbpedia.org/resource/Province_of_Rome</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1922-1947</td>\n",
       "      <td>1922-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Malanca</td>\n",
       "      <td>http://sws.geonames.org/3169069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1922-1947</td>\n",
       "      <td>1922-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Malanca</td>\n",
       "      <td>http://www.wikidata.org/entity/Q15119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/39828/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1922-1947</td>\n",
       "      <td>1922-01-01T00:00:00Z</td>\n",
       "      <td>1947-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Malanca</td>\n",
       "      <td>http://dbpedia.org/resource/Province_of_Rome</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1678-1798</td>\n",
       "      <td>1678-01-01T00:00:00Z</td>\n",
       "      <td>1798-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Colonna</td>\n",
       "      <td>http://sws.geonames.org/3169069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1678-1798</td>\n",
       "      <td>1678-01-01T00:00:00Z</td>\n",
       "      <td>1798-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Colonna</td>\n",
       "      <td>http://www.wikidata.org/entity/Q15119</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>https://w3id.org/zericatalog/artwork/45062/cus...</td>\n",
       "      <td>https://w3id.org/zericatalog/date/1678-1798</td>\n",
       "      <td>1678-01-01T00:00:00Z</td>\n",
       "      <td>1798-01-01T00:00:00Z</td>\n",
       "      <td>Roma</td>\n",
       "      <td>Collezione Colonna</td>\n",
       "      <td>http://dbpedia.org/resource/Province_of_Rome</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                              custody  \\\n",
       "0   https://w3id.org/zericatalog/artwork/16633/cus...   \n",
       "1   https://w3id.org/zericatalog/artwork/16633/cus...   \n",
       "2   https://w3id.org/zericatalog/artwork/16633/cus...   \n",
       "3   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "4   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "5   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "6   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "7   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "8   https://w3id.org/zericatalog/artwork/16692/cus...   \n",
       "9   https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "10  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "11  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "12  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "13  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "14  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "15  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "16  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "17  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "18  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "19  https://w3id.org/zericatalog/artwork/33068/cus...   \n",
       "20  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "21  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "22  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "23  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "24  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "25  https://w3id.org/zericatalog/artwork/39828/cus...   \n",
       "26  https://w3id.org/zericatalog/artwork/45062/cus...   \n",
       "27  https://w3id.org/zericatalog/artwork/45062/cus...   \n",
       "28  https://w3id.org/zericatalog/artwork/45062/cus...   \n",
       "\n",
       "                                      time_span            start_date  \\\n",
       "0   https://w3id.org/zericatalog/date/1949-1958  1949-01-01T00:00:00Z   \n",
       "1   https://w3id.org/zericatalog/date/1949-1958  1949-01-01T00:00:00Z   \n",
       "2   https://w3id.org/zericatalog/date/1949-1958  1949-01-01T00:00:00Z   \n",
       "3   https://w3id.org/zericatalog/date/1934-1977  1934-01-01T00:00:00Z   \n",
       "4   https://w3id.org/zericatalog/date/1934-1977  1934-01-01T00:00:00Z   \n",
       "5   https://w3id.org/zericatalog/date/1934-1977  1934-01-01T00:00:00Z   \n",
       "6   https://w3id.org/zericatalog/date/1836-1934  1836-01-01T00:00:00Z   \n",
       "7   https://w3id.org/zericatalog/date/1836-1934  1836-01-01T00:00:00Z   \n",
       "8   https://w3id.org/zericatalog/date/1836-1934  1836-01-01T00:00:00Z   \n",
       "9   https://w3id.org/zericatalog/date/1925-1928  1925-01-01T00:00:00Z   \n",
       "10  https://w3id.org/zericatalog/date/1925-1928  1925-01-01T00:00:00Z   \n",
       "11  https://w3id.org/zericatalog/date/1925-1928  1925-01-01T00:00:00Z   \n",
       "12  https://w3id.org/zericatalog/date/1925-1928  1925-01-01T00:00:00Z   \n",
       "13  https://w3id.org/zericatalog/date/1925-1925  1925-01-01T00:00:00Z   \n",
       "14  https://w3id.org/zericatalog/date/1925-1925  1925-01-01T00:00:00Z   \n",
       "15  https://w3id.org/zericatalog/date/1925-1925  1925-01-01T00:00:00Z   \n",
       "16  https://w3id.org/zericatalog/date/1925-1925  1925-01-01T00:00:00Z   \n",
       "17  https://w3id.org/zericatalog/date/1905-1907  1905-01-01T00:00:00Z   \n",
       "18  https://w3id.org/zericatalog/date/1905-1907  1905-01-01T00:00:00Z   \n",
       "19  https://w3id.org/zericatalog/date/1905-1907  1905-01-01T00:00:00Z   \n",
       "20  https://w3id.org/zericatalog/date/1947-1947  1947-01-01T00:00:00Z   \n",
       "21  https://w3id.org/zericatalog/date/1947-1947  1947-01-01T00:00:00Z   \n",
       "22  https://w3id.org/zericatalog/date/1947-1947  1947-01-01T00:00:00Z   \n",
       "23  https://w3id.org/zericatalog/date/1922-1947  1922-01-01T00:00:00Z   \n",
       "24  https://w3id.org/zericatalog/date/1922-1947  1922-01-01T00:00:00Z   \n",
       "25  https://w3id.org/zericatalog/date/1922-1947  1922-01-01T00:00:00Z   \n",
       "26  https://w3id.org/zericatalog/date/1678-1798  1678-01-01T00:00:00Z   \n",
       "27  https://w3id.org/zericatalog/date/1678-1798  1678-01-01T00:00:00Z   \n",
       "28  https://w3id.org/zericatalog/date/1678-1798  1678-01-01T00:00:00Z   \n",
       "\n",
       "                end_date place_label                label_receiver  \\\n",
       "0   1958-01-01T00:00:00Z      Parigi      Collezione O. Wertheimer   \n",
       "1   1958-01-01T00:00:00Z      Parigi      Collezione O. Wertheimer   \n",
       "2   1958-01-01T00:00:00Z      Parigi      Collezione O. Wertheimer   \n",
       "3   1977-01-01T00:00:00Z      Parigi             Collezione Dillon   \n",
       "4   1977-01-01T00:00:00Z      Parigi             Collezione Dillon   \n",
       "5   1977-01-01T00:00:00Z      Parigi             Collezione Dillon   \n",
       "6   1934-01-01T00:00:00Z      Parigi  Collezione Chaix-d'Est Anges   \n",
       "7   1934-01-01T00:00:00Z      Parigi  Collezione Chaix-d'Est Anges   \n",
       "8   1934-01-01T00:00:00Z      Parigi  Collezione Chaix-d'Est Anges   \n",
       "9   1928-01-01T00:00:00Z      Londra         Duveen Brothers, Inc.   \n",
       "10  1928-01-01T00:00:00Z      Londra         Duveen Brothers, Inc.   \n",
       "11  1928-01-01T00:00:00Z      Londra         Duveen Brothers, Inc.   \n",
       "12  1928-01-01T00:00:00Z      Londra         Duveen Brothers, Inc.   \n",
       "13  1925-01-01T00:00:00Z      Londra                       Agnew's   \n",
       "14  1925-01-01T00:00:00Z      Londra                       Agnew's   \n",
       "15  1925-01-01T00:00:00Z      Londra                       Agnew's   \n",
       "16  1925-01-01T00:00:00Z      Londra                       Agnew's   \n",
       "17  1907-01-01T00:00:00Z      Parigi                 C. Sedelmeyer   \n",
       "18  1907-01-01T00:00:00Z      Parigi                 C. Sedelmeyer   \n",
       "19  1907-01-01T00:00:00Z      Parigi                 C. Sedelmeyer   \n",
       "20  1947-01-01T00:00:00Z        Roma                   E. Sestieri   \n",
       "21  1947-01-01T00:00:00Z        Roma                   E. Sestieri   \n",
       "22  1947-01-01T00:00:00Z        Roma                   E. Sestieri   \n",
       "23  1947-01-01T00:00:00Z        Roma            Collezione Malanca   \n",
       "24  1947-01-01T00:00:00Z        Roma            Collezione Malanca   \n",
       "25  1947-01-01T00:00:00Z        Roma            Collezione Malanca   \n",
       "26  1798-01-01T00:00:00Z        Roma            Collezione Colonna   \n",
       "27  1798-01-01T00:00:00Z        Roma            Collezione Colonna   \n",
       "28  1798-01-01T00:00:00Z        Roma            Collezione Colonna   \n",
       "\n",
       "                                        location  \n",
       "0                http://sws.geonames.org/2988507  \n",
       "1             http://www.wikidata.org/entity/Q90  \n",
       "2              http://dbpedia.org/resource/Paris  \n",
       "3                http://sws.geonames.org/2988507  \n",
       "4             http://www.wikidata.org/entity/Q90  \n",
       "5              http://dbpedia.org/resource/Paris  \n",
       "6                http://sws.geonames.org/2988507  \n",
       "7             http://www.wikidata.org/entity/Q90  \n",
       "8              http://dbpedia.org/resource/Paris  \n",
       "9      https://w3id.org/zericatalog/place/london  \n",
       "10               http://sws.geonames.org/2643743  \n",
       "11            http://www.wikidata.org/entity/Q84  \n",
       "12            http://dbpedia.org/resource/London  \n",
       "13     https://w3id.org/zericatalog/place/london  \n",
       "14               http://sws.geonames.org/2643743  \n",
       "15            http://www.wikidata.org/entity/Q84  \n",
       "16            http://dbpedia.org/resource/London  \n",
       "17               http://sws.geonames.org/2988507  \n",
       "18            http://www.wikidata.org/entity/Q90  \n",
       "19             http://dbpedia.org/resource/Paris  \n",
       "20               http://sws.geonames.org/3169069  \n",
       "21         http://www.wikidata.org/entity/Q15119  \n",
       "22  http://dbpedia.org/resource/Province_of_Rome  \n",
       "23               http://sws.geonames.org/3169069  \n",
       "24         http://www.wikidata.org/entity/Q15119  \n",
       "25  http://dbpedia.org/resource/Province_of_Rome  \n",
       "26               http://sws.geonames.org/3169069  \n",
       "27         http://www.wikidata.org/entity/Q15119  \n",
       "28  http://dbpedia.org/resource/Province_of_Rome  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_string = \"\"\n",
    "for idx, row in result.iterrows():\n",
    "    if idx == 0:\n",
    "        if \",\" not in row[\"artwork\"]:\n",
    "            new_string = new_string + \"strstarts(str(?custody), '\" + row[\"artwork\"].replace(\"/item\", \"/custody\") + \"')\"\n",
    "        else:\n",
    "            artw = row[\"artwork\"].split(\",\")[0]\n",
    "            new_string = new_string + \"strstarts(str(?custody), '\" + artw.replace(\"/item\", \"/custody\") + \"')\"\n",
    "    else:\n",
    "        if \",\" not in row[\"artwork\"]:\n",
    "            new_string = new_string + \"|| strstarts(str(?custody), '\" + row[\"artwork\"].replace(\"/item\", \"/custody\") + \"')\"\n",
    "        else: \n",
    "            artw = row[\"artwork\"].split(\",\")[0]\n",
    "            new_string = new_string + \"|| strstarts(str(?custody), '\" + artw.replace(\"/item\", \"/custody\") + \"')\"\n",
    "access = \"\"\"\n",
    "PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>\n",
    "PREFIX crm: <http://www.cidoc-crm.org/cidoc-crm/>\n",
    "PREFIX ti: <http://www.ontologydesignpatterns.org/cp/owl/timeinterval.owl#>\n",
    "PREFIX owl: <http://www.w3.org/2002/07/owl#>\n",
    "SELECT DISTINCT ?custody ?time_span ?start_date ?end_date ?place_label ?label_receiver ?location\n",
    "WHERE {{\n",
    "  ?receiver crm:P29i_received_custody_through ?custody .\n",
    "  ?receiver crm:P74_has_current_or_former_residence ?place .\n",
    "  ?custody crm:P4_has_time_span ?time_span .\n",
    "  ?time_span ti:hasIntervalEndDate ?end_date .\n",
    "  ?time_span ti:hasIntervalStartDate ?start_date .\n",
    "  ?place owl:sameAs ?location .\n",
    "  ?place rdfs:label ?place_label .\n",
    "  ?receiver rdfs:label ?label_receiver .\n",
    "  FILTER(LANG(?place_label) = \"\" || LANGMATCHES(LANG(?place_label), \"en\"))\n",
    "  FILTER(LANG(?label_receiver) = \"\" || LANGMATCHES(LANG(?label_receiver), \"en\"))\n",
    "  FILTER ({0})\n",
    "}}\n",
    "\"\"\"\n",
    "third_df = sparql_dataframe.get(endpoint, access.format(new_string), post=True)   \n",
    "third_df.to_csv(\"data_management/final.csv\")\n",
    "\n",
    "third_df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "993b22ac",
   "metadata": {},
   "source": [
    "<b style=\"font-size: 22px; text-decoration:underline\">Step 8: split the Credit Line</b>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c9f1c69",
   "metadata": {},
   "source": [
    "<p style=\"text-align:justify\">As last step, we need to make available the content of the <b>Credit Line</b> column. All the information about how the MET acquired each artwork is included in this column. Though we have already extracted many details from the Zeri Catalog, we haven't focused yet on those artworks that are not included in the RDF Dataset. Consequently, we would like to retrieve as many data as possible from the MET Dataset.</p>\n",
    "<p style=\"text-align:justify\">In particular, we are interested in two major aspects: how the MET acquired/received the custody of the artwork (Purchase, Bequest, Collection, Gift are the possible labels for <b>\"last Transfer\"</b>) and the entities involved in this last transition (<b>\"agentsTransfer\"</b>). Unfortunately, no detail is available about previous transfers.</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "95b90719",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Object Number</th>\n",
       "      <th>Is Highlight</th>\n",
       "      <th>Is Timeline Work</th>\n",
       "      <th>Is Public Domain</th>\n",
       "      <th>Object ID</th>\n",
       "      <th>Gallery Number</th>\n",
       "      <th>Department</th>\n",
       "      <th>AccessionYear</th>\n",
       "      <th>Object Name</th>\n",
       "      <th>Title</th>\n",
       "      <th>...</th>\n",
       "      <th>Rights and Reproduction</th>\n",
       "      <th>Link Resource</th>\n",
       "      <th>Object Wikidata URL</th>\n",
       "      <th>Metadata Date</th>\n",
       "      <th>Repository</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Tags AAT URL</th>\n",
       "      <th>Tags Wikidata URL</th>\n",
       "      <th>lastTransfer</th>\n",
       "      <th>agentsTransfer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1985.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435573</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>Flora and Zephyr</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912099</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Goddess|Putti|Flowers|Landscapes</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300343852|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q205985|https://...</td>\n",
       "      <td>Purchase</td>\n",
       "      <td>Rudolph and Lentilhon G. von Fluegge Foundatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435574</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1912.0</td>\n",
       "      <td>Painting, predella panel</td>\n",
       "      <td>The Crucifixion</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905919</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Soldiers|Men|Crucifixion|Horses|Mountains|Ange...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300185678|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q4991371|https:/...</td>\n",
       "      <td>Purchase</td>\n",
       "      <td>Rogers Fund</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>42.53.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435575</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1942.0</td>\n",
       "      <td>Painting, miniature</td>\n",
       "      <td>Jérôme Bonaparte (1784–1860), King of Westphalia</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19913805</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Kings|Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025481|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q12097|https://w...</td>\n",
       "      <td>Gift</td>\n",
       "      <td>Helen O. Brice</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1991.27.2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>435576</td>\n",
       "      <td>624.0</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1991.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>Saint Alexander</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912513</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Bishops|Croziers|Miter</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025756|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q29182|https://w...</td>\n",
       "      <td>Bequest</td>\n",
       "      <td>Lucy G. Moses</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>14.40.628</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>435577</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1914.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>The Crucifixion</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905200</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Crucifixion|Saints|Mary Magdalene|Saint Franci...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300404300|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q3235597|https:/...</td>\n",
       "      <td>Bequest</td>\n",
       "      <td>Benjamin Altman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>527</th>\n",
       "      <td>2020.263.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>816624</td>\n",
       "      <td>627.0</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>Basket of Fruit</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Grapes|Fruit|Still Life|Apples|Pomegranates</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300379338|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q10978|https://w...</td>\n",
       "      <td>Bequest</td>\n",
       "      <td>Errol M. Rudman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>528</th>\n",
       "      <td>2020.263.8</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>816629</td>\n",
       "      <td>623.0</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>The Flight into Egypt</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Bequest</td>\n",
       "      <td>Errol M. Rudman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>529</th>\n",
       "      <td>2020.263.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>816630</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>Charity</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Nursing|Sleeping|Female Nudes|Infants</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300379905|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q174876|https://...</td>\n",
       "      <td>Bequest</td>\n",
       "      <td>Errol M. Rudman</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>2020.112</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>817124</td>\n",
       "      <td>618.0</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>Cain Slaying Abel</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Abel|Cain</td>\n",
       "      <td>http://vocab.getty.edu/page/ia/901000498|http:...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q313421|https://...</td>\n",
       "      <td>Gift</td>\n",
       "      <td>Alan M. May</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>531</th>\n",
       "      <td>2019.263</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>828497</td>\n",
       "      <td>None</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>2019.0</td>\n",
       "      <td>Painting</td>\n",
       "      <td>An Old Man with a Dog</td>\n",
       "      <td>...</td>\n",
       "      <td>None</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q78605934</td>\n",
       "      <td>None</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Men|Portraits|Dogs</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025928|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q8441|https://ww...</td>\n",
       "      <td>Gift</td>\n",
       "      <td>Fabrizio Moretti</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>532 rows × 56 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Object Number  Is Highlight  Is Timeline Work  Is Public Domain  \\\n",
       "0          1985.5             0                 0                 1   \n",
       "1            12.6             0                 0                 1   \n",
       "2         42.53.2             0                 0                 1   \n",
       "3       1991.27.2             0                 1                 1   \n",
       "4       14.40.628             0                 1                 1   \n",
       "..            ...           ...               ...               ...   \n",
       "527    2020.263.5             0                 0                 1   \n",
       "528    2020.263.8             0                 0                 1   \n",
       "529    2020.263.6             0                 0                 1   \n",
       "530      2020.112             0                 0                 0   \n",
       "531      2019.263             0                 0                 1   \n",
       "\n",
       "     Object ID Gallery Number          Department AccessionYear  \\\n",
       "0       435573           None  European Paintings        1985.0   \n",
       "1       435574           None  European Paintings        1912.0   \n",
       "2       435575           None  European Paintings        1942.0   \n",
       "3       435576          624.0  European Paintings        1991.0   \n",
       "4       435577           None  European Paintings        1914.0   \n",
       "..         ...            ...                 ...           ...   \n",
       "527     816624          627.0  European Paintings        2020.0   \n",
       "528     816629          623.0  European Paintings        2020.0   \n",
       "529     816630           None  European Paintings        2020.0   \n",
       "530     817124          618.0  European Paintings        2020.0   \n",
       "531     828497           None  European Paintings        2019.0   \n",
       "\n",
       "                  Object Name  \\\n",
       "0                    Painting   \n",
       "1    Painting, predella panel   \n",
       "2         Painting, miniature   \n",
       "3                    Painting   \n",
       "4                    Painting   \n",
       "..                        ...   \n",
       "527                  Painting   \n",
       "528                  Painting   \n",
       "529                  Painting   \n",
       "530                  Painting   \n",
       "531                  Painting   \n",
       "\n",
       "                                                Title  ...  \\\n",
       "0                                    Flora and Zephyr  ...   \n",
       "1                                     The Crucifixion  ...   \n",
       "2    Jérôme Bonaparte (1784–1860), King of Westphalia  ...   \n",
       "3                                     Saint Alexander  ...   \n",
       "4                                     The Crucifixion  ...   \n",
       "..                                                ...  ...   \n",
       "527                                   Basket of Fruit  ...   \n",
       "528                             The Flight into Egypt  ...   \n",
       "529                                           Charity  ...   \n",
       "530                                 Cain Slaying Abel  ...   \n",
       "531                             An Old Man with a Dog  ...   \n",
       "\n",
       "    Rights and Reproduction  \\\n",
       "0                      None   \n",
       "1                      None   \n",
       "2                      None   \n",
       "3                      None   \n",
       "4                      None   \n",
       "..                      ...   \n",
       "527                    None   \n",
       "528                    None   \n",
       "529                    None   \n",
       "530                    None   \n",
       "531                    None   \n",
       "\n",
       "                                         Link Resource  \\\n",
       "0    http://www.metmuseum.org/art/collection/search...   \n",
       "1    http://www.metmuseum.org/art/collection/search...   \n",
       "2    http://www.metmuseum.org/art/collection/search...   \n",
       "3    http://www.metmuseum.org/art/collection/search...   \n",
       "4    http://www.metmuseum.org/art/collection/search...   \n",
       "..                                                 ...   \n",
       "527  http://www.metmuseum.org/art/collection/search...   \n",
       "528  http://www.metmuseum.org/art/collection/search...   \n",
       "529  http://www.metmuseum.org/art/collection/search...   \n",
       "530  http://www.metmuseum.org/art/collection/search...   \n",
       "531  http://www.metmuseum.org/art/collection/search...   \n",
       "\n",
       "                         Object Wikidata URL Metadata Date  \\\n",
       "0    https://www.wikidata.org/wiki/Q19912099          None   \n",
       "1    https://www.wikidata.org/wiki/Q19905919          None   \n",
       "2    https://www.wikidata.org/wiki/Q19913805          None   \n",
       "3    https://www.wikidata.org/wiki/Q19912513          None   \n",
       "4    https://www.wikidata.org/wiki/Q19905200          None   \n",
       "..                                       ...           ...   \n",
       "527                                     None          None   \n",
       "528                                     None          None   \n",
       "529                                     None          None   \n",
       "530                                     None          None   \n",
       "531  https://www.wikidata.org/wiki/Q78605934          None   \n",
       "\n",
       "                                   Repository  \\\n",
       "0    Metropolitan Museum of Art, New York, NY   \n",
       "1    Metropolitan Museum of Art, New York, NY   \n",
       "2    Metropolitan Museum of Art, New York, NY   \n",
       "3    Metropolitan Museum of Art, New York, NY   \n",
       "4    Metropolitan Museum of Art, New York, NY   \n",
       "..                                        ...   \n",
       "527  Metropolitan Museum of Art, New York, NY   \n",
       "528  Metropolitan Museum of Art, New York, NY   \n",
       "529  Metropolitan Museum of Art, New York, NY   \n",
       "530  Metropolitan Museum of Art, New York, NY   \n",
       "531  Metropolitan Museum of Art, New York, NY   \n",
       "\n",
       "                                                  Tags  \\\n",
       "0                     Goddess|Putti|Flowers|Landscapes   \n",
       "1    Soldiers|Men|Crucifixion|Horses|Mountains|Ange...   \n",
       "2                                  Kings|Men|Portraits   \n",
       "3                               Bishops|Croziers|Miter   \n",
       "4    Crucifixion|Saints|Mary Magdalene|Saint Franci...   \n",
       "..                                                 ...   \n",
       "527        Grapes|Fruit|Still Life|Apples|Pomegranates   \n",
       "528                                               None   \n",
       "529              Nursing|Sleeping|Female Nudes|Infants   \n",
       "530                                          Abel|Cain   \n",
       "531                                 Men|Portraits|Dogs   \n",
       "\n",
       "                                          Tags AAT URL  \\\n",
       "0    http://vocab.getty.edu/page/aat/300343852|http...   \n",
       "1    http://vocab.getty.edu/page/aat/300185678|http...   \n",
       "2    http://vocab.getty.edu/page/aat/300025481|http...   \n",
       "3    http://vocab.getty.edu/page/aat/300025756|http...   \n",
       "4    http://vocab.getty.edu/page/aat/300404300|http...   \n",
       "..                                                 ...   \n",
       "527  http://vocab.getty.edu/page/aat/300379338|http...   \n",
       "528                                               None   \n",
       "529  http://vocab.getty.edu/page/aat/300379905|http...   \n",
       "530  http://vocab.getty.edu/page/ia/901000498|http:...   \n",
       "531  http://vocab.getty.edu/page/aat/300025928|http...   \n",
       "\n",
       "                                     Tags Wikidata URL lastTransfer  \\\n",
       "0    https://www.wikidata.org/wiki/Q205985|https://...     Purchase   \n",
       "1    https://www.wikidata.org/wiki/Q4991371|https:/...     Purchase   \n",
       "2    https://www.wikidata.org/wiki/Q12097|https://w...         Gift   \n",
       "3    https://www.wikidata.org/wiki/Q29182|https://w...      Bequest   \n",
       "4    https://www.wikidata.org/wiki/Q3235597|https:/...      Bequest   \n",
       "..                                                 ...          ...   \n",
       "527  https://www.wikidata.org/wiki/Q10978|https://w...      Bequest   \n",
       "528                                               None      Bequest   \n",
       "529  https://www.wikidata.org/wiki/Q174876|https://...      Bequest   \n",
       "530  https://www.wikidata.org/wiki/Q313421|https://...         Gift   \n",
       "531  https://www.wikidata.org/wiki/Q8441|https://ww...         Gift   \n",
       "\n",
       "                                        agentsTransfer  \n",
       "0    Rudolph and Lentilhon G. von Fluegge Foundatio...  \n",
       "1                                          Rogers Fund  \n",
       "2                                       Helen O. Brice  \n",
       "3                                        Lucy G. Moses  \n",
       "4                                      Benjamin Altman  \n",
       "..                                                 ...  \n",
       "527                                    Errol M. Rudman  \n",
       "528                                    Errol M. Rudman  \n",
       "529                                    Errol M. Rudman  \n",
       "530                                        Alan M. May  \n",
       "531                                   Fabrizio Moretti  \n",
       "\n",
       "[532 rows x 56 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "empty = pd.Series([\"\"])\n",
    "resp = pd.Series([\"\"])\n",
    "\n",
    "def add_last_transfer(num, obj):\n",
    "    italianDataset.at[num, \"lastTransfer\"] = obj\n",
    "\n",
    "def add_agent(num, agent):\n",
    "    if agent.startswith(\"and \"):\n",
    "        agent = agent.replace(\"and \", \"\")\n",
    "    if agent.endswith(\" \"):\n",
    "        agent = agent[:-1]\n",
    "    if type(italianDataset.at[num, \"agentsTransfer\"]) == type(\"\") and len(italianDataset.at[num, \"agentsTransfer\"]) > 0:\n",
    "        if agent not in italianDataset.at[num, \"agentsTransfer\"].split(\", \") and (agent + \" Fund\") not in italianDataset.at[num, \"agentsTransfer\"].split(\", \"):\n",
    "            italianDataset.at[num, \"agentsTransfer\"] = italianDataset.at[num, \"agentsTransfer\"] + \", \" + agent\n",
    "        else:\n",
    "            return None\n",
    "    else:\n",
    "        italianDataset.at[num, \"agentsTransfer\"] = agent\n",
    "\n",
    "def and_case(a_string, credit):\n",
    "    if \" and \" in credit and \"Mr\" not in credit and \"Mrs.\" not in credit and \"Foundation\" not in credit and \"Fund\" not in credit and \"Collection\" not in credit and \"Gallery\" not in credit and \"Charitable\" not in credit:\n",
    "        x = modified_credit.replace(a_string, \"\").split(\" and \")\n",
    "        if \" \" in x[0] and \" \" in x[0]:\n",
    "            f = x[0]\n",
    "            s = x[1]\n",
    "            add_agent(idx, f)\n",
    "            add_agent(idx, s)\n",
    "        else: \n",
    "            add_agent(idx, modified_credit.replace(a_string, \"\"))\n",
    "    else:\n",
    "        add_agent(idx, modified_credit.replace(a_string, \"\"))\n",
    "\n",
    "    \n",
    "\n",
    "\n",
    "a = 0\n",
    "while a < 2:\n",
    "    for idx, row in italianDataset.iterrows():\n",
    "        if row[\"Credit Line\"].count(\";\") > 1:\n",
    "            italianDataset.at[idx, \"Credit Line\"]=row[\"Credit Line\"].replace(\";\", \",\")\n",
    "        if row[\"Credit Line\"].startswith(\"The Metropolitan Museum of Art, New York.\"):\n",
    "            italianDataset.at[idx, \"Credit Line\"] = row[\"Credit Line\"].replace(\"The Metropolitan Museum of Art, New York. \", \"\")\n",
    "        if \":\" in row[\"Credit Line\"]:\n",
    "            x = row[\"Credit Line\"]\n",
    "            x = x.replace(\":\",  \",\")\n",
    "            italianDataset.at[idx, \"Credit Line\"] = x\n",
    "        if \", by exchange,\" in row[\"Credit Line\"]:\n",
    "            italianDataset.at[idx, \"Credit Line\"] = row[\"Credit Line\"].replace(\", by exchange\",  \"\")\n",
    "    a = a + 1\n",
    "italianDataset[\"lastTransfer\"] = empty\n",
    "italianDataset[\"agentsTransfer\"] = resp\n",
    "for idx, row in italianDataset.iterrows():        \n",
    "    if \";\" not in row[\"Credit Line\"]:\n",
    "        credit_line = row[\"Credit Line\"].split(\", \")\n",
    "        modified_credit = credit_line[0]\n",
    "        if modified_credit == \"Anonymous Gift\" and len(credit_line) == 2 or row[\"Credit Line\"].startswith(\"Anonymous Gift, in memory\"):\n",
    "            add_last_transfer(idx, \"Gift\")\n",
    "        if modified_credit.startswith(\"Bequest of \"):\n",
    "            add_last_transfer(idx, \"Bequest\")\n",
    "            if \" in honor of\" in modified_credit:\n",
    "                modified_credit = modified_credit.split(\" in honor of\")[0]\n",
    "            and_case(\"Bequest of \", modified_credit)\n",
    "        elif modified_credit.startswith(\"The Bequest of \"):\n",
    "            add_last_transfer(idx, \"Bequest\")\n",
    "            and_case(\"The Bequest of \", modified_credit)\n",
    "        elif modified_credit.startswith(\"The Collection of \") or modified_credit.startswith(\"From the Collection of \"):\n",
    "            if modified_credit.startswith(\"From the Collection of \"):\n",
    "                modified_credit = modified_credit.replace (\"From \", \"\")\n",
    "            add_agent(idx, modified_credit)\n",
    "            add_last_transfer(idx, \"Collection\")\n",
    "        elif modified_credit.startswith(\"Gift of \"):\n",
    "            add_last_transfer(idx, \"Gift\")\n",
    "            and_case(\"Gift of \", modified_credit)\n",
    "            for n in range(len(credit_line)-2):\n",
    "                n = n + 1\n",
    "                if \"Purchase\" not in credit_line[n] and \"Collection\" not in credit_line[n] and \"Bequest\" not in credit_line[n] and \"Fund\" not in credit_line[n] and \"Gift\" not in credit_line[n] and \"memory\" not in credit_line[n] and \"in honor\" not in credit_line[n] and \"in celebration\" not in credit_line[n]:\n",
    "                    if \"in memory of h\" not in credit_line[n-1] and \"in honor\" not in credit_line[n-1]:\n",
    "                        add_agent(idx, credit_line[n].replace(\"and \", \"\", 1))\n",
    "        elif modified_credit.startswith(\"Purchase\"):\n",
    "            add_last_transfer(idx, \"Purchase\")\n",
    "        elif modified_credit.endswith(\"Collection\") or modified_credit.endswith(\"Gallery\"):\n",
    "            add_agent(idx, modified_credit)\n",
    "            add_last_transfer(idx, \"Collection\")\n",
    "        elif modified_credit.endswith(\"Fund\") or modified_credit.endswith(\"Trust\"):\n",
    "            add_agent(idx, modified_credit)\n",
    "            add_last_transfer(idx, \"Purchase\")\n",
    "        elif modified_credit.endswith(\"Funds\") and \" and \" in modified_credit:\n",
    "            add_last_transfer(idx, \"Purchase\")\n",
    "            for el in modified_credit.split(\" and \"):\n",
    "                add_agent(idx, (el + \" Fund\"). replace(\" Funds\", \"\"))\n",
    "        elif \"Funds\" in row[\"Credit Line\"] and \"Bequest\" not in row[\"Credit Line\"] and \"Purchase\" not in row[\"Credit Line\"] and \"Gift\" not in row[\"Credit Line\"] and \"funds from various donors\" not in row[\"Credit Line\"]:\n",
    "            add_last_transfer(idx, \"Purchase\")\n",
    "            split = row[\"Credit Line\"].split(\",\")\n",
    "            if len(split) > 2:\n",
    "                for n in range(len(split)-1):\n",
    "                    a = split[n].replace(\" Funds\", \"\") + \" Fund\"\n",
    "                    if a.startswith(\" and\"):\n",
    "                        a =a.replace(\" and \", \"\")\n",
    "                    elif a.startswith(\" \"):\n",
    "                        a =a.replace (\" \", \"\", 1)\n",
    "                    add_agent(idx, a)\n",
    "            else:\n",
    "                if split[0] == \"Funds from various donors\":\n",
    "                    italianDataset.at[idx, \"agentsTransfer\"] = italianDataset.at[idx, \"agentsTransfer\"]\n",
    "                else:\n",
    "                    new_split = split[0].split(\" and \")\n",
    "                    for n in range(len(new_split)):\n",
    "                        a = new_split[n].replace(\" Funds\", \"\") + \" Fund\"\n",
    "                        add_agent(idx, a)       \n",
    "        if len(credit_line) > 2:\n",
    "            for n in range(len(credit_line)-2):\n",
    "                num = n + 1\n",
    "                if credit_line[num] and \"in memory \" not in credit_line[num]:\n",
    "                    new_modified_credit = credit_line[num]\n",
    "                    if new_modified_credit.startswith(\"Bequest and Gift\"):\n",
    "                        add_agent(idx, new_modified_credit.replace(\"Bequest and Gift of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"Bequest of\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in new_modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit:\n",
    "                            if \" and Gift \" in new_modified_credit:\n",
    "                                x = new_modified_credit.replace(\"Bequest of \", \"\").split(\" and Gift of \")\n",
    "                                add_agent(idx, x[0])\n",
    "                                add_agent(idx, x[1])\n",
    "                            else:\n",
    "                                x = new_modified_credit.replace(\"Bequest of \", \"\").split(\" and \")\n",
    "                                if \" \" in x[0] and \" \" in x[0]:\n",
    "                                    f = x[0]\n",
    "                                    s = x[1]\n",
    "                                    add_agent(idx, f)\n",
    "                                    add_agent(idx, s)\n",
    "                                else: \n",
    "                                    add_agent(idx, new_modified_credit.replace(\" Bequest of \", \"\"))\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit.replace(\"Bequest of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"Bequests of\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in new_modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"Bequests of \", \"\").split(\" and \")\n",
    "                            if \" \" in x[0] and \" \" in x[0]:\n",
    "                                f = x[0]\n",
    "                                s = x[1]\n",
    "                                add_agent(idx, f)\n",
    "                                add_agent(idx, s) \n",
    "                            else: \n",
    "                                add_agent(idx, new_modified_credit.replace(\"Bequest of \", \"\"))\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit.replace(\"Bequests of \", \"\"))\n",
    "                        new_n = num + 1\n",
    "                        while new_n != 0:\n",
    "                            if not credit_line[new_n].startswith(\"1\") and \"Bequest\" not in credit_line[new_n] and \"Gift\" not in credit_line[new_n] and \"Purchase\" not in credit_line[new_n] and \"Fund\" not in credit_line[new_n] and \"Collection\" not in credit_line[new_n]:\n",
    "                                if \"in memory \" not in credit_line[new_n] and \"in memory of h\" not in credit_line[new_n-1]:\n",
    "                                    add_agent(idx, credit_line[new_n])\n",
    "                                new_n = new_n + 1\n",
    "                            else:\n",
    "                                new_n = 0\n",
    "                    if new_modified_credit.startswith(\"and Gifts of\"):\n",
    "                        if \" and \" in new_modified_credit:\n",
    "                            x = new_modified_credit.split(\" and \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el.replace(\"and Gifts of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"and Bequests of\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in new_modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"and Bequests of \", \"\").split(\" and \")\n",
    "                            if \" \" in x[0] and \" \" in x[0]:\n",
    "                                f = x[0]\n",
    "                                s = x[1]\n",
    "                                add_agent(idx, f)\n",
    "                                add_agent(idx, s) \n",
    "                            else: \n",
    "                                add_agent(idx, new_modified_credit.replace(\" Bequest of \", \"\"))\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit.replace(\"and Bequests of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"and Bequest of\"):\n",
    "                        add_agent(idx, new_modified_credit.replace(\"and Bequest of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"Gift of\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit and \"and Bequest\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"Gift of \", \"\").split(\" and \")\n",
    "                            if \" \" in x[0] and \" \" in x[0]:\n",
    "                                f = x[0]\n",
    "                                s = x[1]\n",
    "                                add_agent(idx, f)\n",
    "                                add_agent(idx, s) \n",
    "                            else: \n",
    "                                add_agent(idx, new_modified_credit.replace(\" Gift of \", \"\"))\n",
    "                        elif \" and Bequest of \" in new_modified_credit:\n",
    "                            if new_modified_credit.startswith(\"Gift and\"):\n",
    "                                new_modified_credit = new_modified_credit.replace(\"Gift\", \"\")\n",
    "                            x = new_modified_credit.split(\" and Bequest of \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el.replace(\"Gift of \", \"\"))\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit.replace(\"Gift of \", \"\"))\n",
    "                    if new_modified_credit.startswith(\"and Gift \"):\n",
    "                        add_agent(idx, new_modified_credit.replace(\"and Gift of \", \"\"))\n",
    "                    if new_modified_credit.endswith(\"Gift\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit and \"and Bequest\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"Gift\", \"\").split(\" and \")\n",
    "                            if \" \" in x[0] and \" \" in x[0]:\n",
    "                                f = x[0]\n",
    "                                s = x[1]\n",
    "                                add_agent(idx, f)\n",
    "                                add_agent(idx, s) \n",
    "                            else: \n",
    "                                if new_modified_credit.replace(\"Gift\", \"\").startswith(\" and\"):\n",
    "                                    add_agent(idx, new_modified_credit.replace(\"Gift\", \"\").replace(\"and \", \"\"))\n",
    "                                else:\n",
    "                                    add_agent(idx, new_modified_credit.replace(\"Gift\", \"\"))\n",
    "                        elif \"Fund\" in new_modified_credit and \" and \" in new_modified_credit:\n",
    "                            x = new_modified_credit.split(\" and \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el.replace(\" Gift\", \"\")) \n",
    "                        else:\n",
    "                            a = new_modified_credit.replace(\" Gift\", \"\")\n",
    "                            if a.startswith(\"and \"):                       \n",
    "                                a=a.replace(\"and \", \"\", 1)\n",
    "                            add_agent(idx, a)\n",
    "                    if new_modified_credit.endswith(\"Bequest\"):\n",
    "                        if \" and \" in new_modified_credit and \"Mr\" not in modified_credit and \"Mrs.\" not in new_modified_credit and \"Foundation\" not in new_modified_credit and \"Fund\" not in new_modified_credit and \"Collection\" not in new_modified_credit and \"Gallery\" not in new_modified_credit and \"Charitable\" not in new_modified_credit and \"and Bequest\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"Bequest\", \"\").split(\" and \")\n",
    "                            if \" \" in x[0] and \" \" in x[0]:\n",
    "                                f = x[0]\n",
    "                                s = x[1]\n",
    "                                add_agent(idx, f)\n",
    "                                add_agent(idx, s) \n",
    "                            else: \n",
    "                                add_agent(idx, new_modified_credit.replace(\"Gift\", \"\"))\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit.replace(\"Bequest\", \"\"))\n",
    "                    if new_modified_credit.endswith(\"Fund\"):\n",
    "                        if \"Gift\" in new_modified_credit and \" and \" in new_modified_credit and \"and Bequest of\" not in new_modified_credit:\n",
    "                            x = new_modified_credit.split(\" and \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el.replace(\" Gift\", \"\")) \n",
    "                        elif \"Gift and Bequest of\" in new_modified_credit:\n",
    "                            x = new_modified_credit.replace(\"Gift and Bequest of \", \"\").split(\" and \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el)\n",
    "                        else:\n",
    "                            add_agent(idx, new_modified_credit)\n",
    "                    if new_modified_credit.endswith(\"Funds\"):\n",
    "                        y = num\n",
    "                        if \"Purchase\" not in credit_line[y-1] and \"Gift\" not in credit_line[y-1] and \"Bequest\" not in credit_line[y-1] and \"Collection\" not in credit_line[y-1]:\n",
    "                            add_agent(idx, new_modified_credit.replace(\" Funds\", \" Fund\").replace(\"and \", \"\", 1))\n",
    "                            \n",
    "                            while y > 1:\n",
    "                                y = y - 1\n",
    "                                if \"Purchase\" not in credit_line[y] and \"Gift\" not in credit_line[y] and \"Bequest\" not in credit_line[y] and \"Collection\" not in credit_line[y] and \"in memory\" not in credit_line[y]:\n",
    "                                    if credit_line[y].startswith(\"and \"):\n",
    "                                        add_agent(idx, (credit_line[y] + \" Fund\").replace(\"and \", \"\", 1))\n",
    "                                    else:\n",
    "                                        add_agent(idx, (credit_line[y] + \" Fund\"))\n",
    "                                else:\n",
    "                                    y = 0\n",
    "                        else:\n",
    "                            if \" and \" in new_modified_credit:\n",
    "                                for el in new_modified_credit.split(\" and \"):\n",
    "                                    add_agent(idx, (el.replace(\" Funds\", \"\") + \" Fund\"))\n",
    "                    if new_modified_credit.endswith(\" Gifts\"):\n",
    "                        \n",
    "                        if new_modified_credit.count(\" and \") > 1 and not new_modified_credit.startswith(\" and \"):\n",
    "                            x = new_modified_credit.split(\" and \")\n",
    "                            for n in range(len(x)-1):\n",
    "                                num = n + 1\n",
    "                                if \" \" not in x[num-1] and \" \" in x[num]:\n",
    "                                    f = x[num-1] + \" and \" + x[num]\n",
    "                                    add_agent(idx, f.replace(\" Gifts\", \"\"))\n",
    "                                else:\n",
    "                                    add_agent(idx, x[num].replace(\" Gifts\", \"\"))\n",
    "                        elif \"Foundation\" in new_modified_credit and \" and \" in new_modified_credit:\n",
    "                            x = new_modified_credit.split(\" and \")\n",
    "                            for el in x:\n",
    "                                add_agent(idx, el.replace(\" Gifts\", \"\"))\n",
    "                        else:\n",
    "                            y = num\n",
    "                            if new_modified_credit.startswith(\"and \"):\n",
    "                                new_modified_credit = new_modified_credit.replace(\"and \", \"\", 1)\n",
    "                            add_agent(idx, new_modified_credit.replace(\" Gifts\", \"\"))\n",
    "                            while y > 1:\n",
    "                                y = y - 1\n",
    "                                if \"Purchase\" not in credit_line[y] and \"Gift\" not in credit_line[y] and \"Bequest\" not in credit_line[y] and \"Collection\" not in credit_line[y]:\n",
    "                                    add_agent(idx, credit_line[y])\n",
    "                                else: \n",
    "                                    y = 0\n",
    "                                \n",
    "    elif row[\"Credit Line\"].count(\";\") == 1:\n",
    "        credit_line_update = row[\"Credit Line\"].split(\";\")\n",
    "        credit_line_segment_one = credit_line_update[0].split(\",\")\n",
    "        if credit_line_segment_one[0].startswith(\"Gift of\"):\n",
    "            add_last_transfer(idx, \"Gift\")\n",
    "            if \" and \" in credit_line_segment_one[0] and \"Mr\" not in credit_line_segment_one[0] and \"Mrs.\" not in credit_line_segment_one[0] and \"Foundation\" not in credit_line_segment_one[0] and \"Fund\" not in credit_line_segment_one[0] and \"Collection\" not in credit_line_segment_one[0] and \"Gallery\" not in credit_line_segment_one[0] and \"Charitable\" not in credit_line_segment_one[0]:\n",
    "                x = credit_line_segment_one[0].replace(\"Gift of \", \"\").split(\" and \")\n",
    "                if \" \" in x[0] and \" \" in x[0]:\n",
    "                    f = x[0]\n",
    "                    s = x[1]\n",
    "                    add_agent(idx, f)\n",
    "                    add_agent(idx, s) \n",
    "                else: \n",
    "                    add_agent(idx, credit_line_segment_one[0].replace(\"Gift of \", \"\"))\n",
    "            else:\n",
    "                add_agent(idx, credit_line_segment_one[0].replace(\"Gift of \", \"\"))\n",
    "        if credit_line_segment_one[0].startswith(\"Purchase\"):\n",
    "            add_last_transfer(idx, \"Purchase\")\n",
    "        if credit_line_segment_one[-1].endswith(\"Gifts\"):\n",
    "\n",
    "            for n in range(len(credit_line_segment_one) - 1):\n",
    "                num = n + 1\n",
    "                if \"Collection\" in credit_line_segment_one[num] or \"Fund\" in credit_line_segment_one[num] or \"Foundation\" in credit_line_segment_one[num]:\n",
    "                    add_agent(idx, credit_line_segment_one[num].replace(\" \", \"\", 1))\n",
    "                else:\n",
    "                    if credit_line_segment_one[num].startswith(\" and\"):\n",
    "                        credit_line_segment_one[num] = credit_line_segment_one[num].replace(\" and\", \"\")\n",
    "                    add_agent(idx, credit_line_segment_one[num].replace(\" \", \"\", 1).replace(\" Gifts\", \"\"))\n",
    "        credit_line_segment_two = credit_line_update[1].split(\",\")\n",
    "        if credit_line_segment_two[0].startswith(\" and Gifts\"): \n",
    "            for n in range(len(credit_line_segment_two) - 1):\n",
    "                num = n\n",
    "                if \"Bequest\" not in credit_line_segment_two[num] and \"Collection\" not in credit_line_segment_two[num] and \"Fund\" not in credit_line_segment_two[num] and \"by exchange\" not in credit_line_segment_two[num]:\n",
    "                    if \"Mr. and Mrs.\" in credit_line_segment_two[num]:\n",
    "                        add_agent(idx, credit_line_segment_two[num].replace(\" and Gifts of\",\"\").replace(\" \", \"\", 1))\n",
    "                    else:\n",
    "                        add_agent(idx, credit_line_segment_two[num].replace(\" and Gifts of\",\"\").replace(\" and \", \" \", 1).replace(\" \", \"\", 1))\n",
    "                elif \"Collection\" in credit_line_segment_two[num] or \"Fund\" in credit_line_segment_two[num]:\n",
    "                    add_agent(idx, credit_line_segment_two[num].replace(\" and\",\"\").replace(\" \", \"\", 1))\n",
    "                elif \"Bequest\" in credit_line_segment_two[num]:\n",
    "                    if credit_line_segment_two[num].startswith(\" Bequests of\"):\n",
    "                        inner_list = credit_line_segment_two[num].split(\" and\")\n",
    "                        for el in inner_list:\n",
    "                            add_agent(idx, el.replace(\" Bequests of\",\"\").replace(\" \", \"\", 1))\n",
    "        for el in credit_line_segment_two:\n",
    "            if \"Collection\" in el:\n",
    "                add_agent(idx, el.replace(\" \", \"\", 1))\n",
    "\n",
    "#private collections are often related to the bequest of a private owner, we thus need to associated both the collection and the owner with a unique entity \n",
    "for idx, row in italianDataset.iterrows():    \n",
    "    dealer = row[\"agentsTransfer\"]\n",
    "    if \"Collection,\" in str(dealer):\n",
    "        dealerList = str(dealer).split(\", \")\n",
    "        italianDataset.at[idx, \"agentsTransfer\"] = dealerList[1]\n",
    "\n",
    "\n",
    "italianDataset.to_csv(\"data_management/transfers.csv\")\n",
    "\n",
    "italianDataset"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "d50dba92",
   "metadata": {},
   "source": [
    "<h2 align=center>InfoViz MET Data with Python (Part 0)</h2>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "535e635e",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import networkx as nx\n",
    "import matplotlib.pyplot as plt\n",
    "import pickle\n",
    "import pandas as pd\n",
    "\n",
    "# read in the graph\n",
    "# G = pickle.load(open('major_us_cities', 'rb'))\n",
    "H = nx.DiGraph()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "df7c637e",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "csvData = pd.read_csv(\"draftIntegrated.csv\")\n",
    "csvDataRefined = csvData.drop([0,15,23], axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "10fb92e0",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for i, row in csvDataRefined.iterrows():\n",
    "    arcs = []\n",
    "    listInst = row[\"receivers\"].split(\",\")\n",
    "    for idx, el in enumerate(listInst):\n",
    "        if idx < len(listInst)-1:\n",
    "            transfer = (el,listInst[idx+1])\n",
    "            arcs.append(transfer)\n",
    "        else:\n",
    "            arcs.append((el, row[\"surrenders\"].split(\",\")[-1]))\n",
    "    H.add_edges_from(arcs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0946a900",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nx.write_gexf(H, \"metzeri.gexf\")\n",
    "nx.draw_networkx(H)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "eb8cd791",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# plt.figure(figsize=(10,9))\n",
    "# nx.draw_networkx(H)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3d1173db",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# draw the graph using the default spring layout\n",
    "# plt.figure(figsize=(10,9))\n",
    "# nx.draw_networkx(H)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a6fa6353",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['bipartite_layout',\n",
       " 'circular_layout',\n",
       " 'kamada_kawai_layout',\n",
       " 'random_layout',\n",
       " 'rescale_layout',\n",
       " 'shell_layout',\n",
       " 'spring_layout',\n",
       " 'spectral_layout',\n",
       " 'planar_layout',\n",
       " 'fruchterman_reingold_layout',\n",
       " 'spiral_layout',\n",
       " 'multipartite_layout',\n",
       " 'arf_layout']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# See what layouts are available in networkX\n",
    "[x for x in nx.__dir__() if x.endswith('_layout')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e331367d",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Draw the graph using the random layout\n",
    "# plt.figure(figsize=(10,9))\n",
    "# pos = nx.random_layout(H)\n",
    "# nx.draw_networkx(H, pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4e4cced2",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Draw the graph using the circular layout\n",
    "# plt.figure(figsize=(10,9))\n",
    "# pos = nx.circular_layout(H)\n",
    "# nx.draw_networkx(H, pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "ebb330d3",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Draw the graph using custom node positions\n",
    "# plt.figure(figsize=(10,7))\n",
    "\n",
    "# pos = nx.get_node_attributes(H)\n",
    "# nx.draw_networkx(H, pos)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "1983a61a",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pos=nx.draw_networkx(H)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a1f2c9cc",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x700 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Draw the graph adding alpha, removing labels, and softening edge color\n",
    "plt.figure(figsize=(10,7))\n",
    "\n",
    "nx.draw_networkx(H, pos, alpha=0.7, with_labels=True, edge_color='.4')\n",
    "\n",
    "plt.axis('off')\n",
    "plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "383a740c",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# # Draw graph with varying node color, node size, and edge width\n",
    "# plt.figure(figsize=(10,7))\n",
    "#\n",
    "# node_color = [H.degree(v) for v in H]\n",
    "# node_size = 300#[0.0005*nx.get_node_attributes(H, 'population')[v] for v in H]\n",
    "# edge_width = [0.0015*H[u][v]['surrenders'] for u,v in H.edges()]\n",
    "#\n",
    "# nx.draw_networkx(H, pos, node_size=node_size,\n",
    "#                  node_color=node_color, alpha=0.7, with_labels=False,\n",
    "#                  width=edge_width, edge_color='.4', cmap=plt.cm.Blues)\n",
    "#\n",
    "# nx.draw_networkx_labels(H, pos, labels={'The Metropolitan Museum of Art': 'MET'}, font_size=18, font_color='w')\n",
    "#\n",
    "# plt.axis('off')\n",
    "# plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0298661d",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# # Draw graph with varying node color, node size, and edge width\n",
    "# plt.figure(figsize=(10,7))\n",
    "\n",
    "# node_color = [H.degree(v) for v in H]\n",
    "# node_size = [0.0005*nx.get_node_attributes(H, 'The Metropolitan Museum of Art')[v] for v in H]\n",
    "# # edge_width = [0.0015*G[u][v]['weight'] for u,v in G.edges()]\n",
    "\n",
    "# nx.draw_networkx(H, pos, node_size=node_size,\n",
    "#                  node_color=node_color, alpha=0.7, with_labels=False,\n",
    "#                  width=4, edge_color='.4', cmap=plt.cm.Blues)\n",
    "\n",
    "# plt.axis('off')\n",
    "# plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1e33df15",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Draw specific edges and add labels to specific nodes\n",
    "# plt.figure(figsize=(10,7))\n",
    "\n",
    "# node_color = [G.degree(v) for v in G]\n",
    "# node_size = [0.0005*nx.get_node_attributes(G, 'population')[v] for v in G]\n",
    "# edge_width = [0.0015*G[u][v]['weight'] for u,v in G.edges()]\n",
    "\n",
    "# nx.draw_networkx(G, pos, node_size=node_size,\n",
    "#                  node_color=node_color, alpha=0.7, with_labels=False,\n",
    "#                  width=edge_width, edge_color='.4', cmap=plt.cm.Blues)\n",
    "\n",
    "\n",
    "# greater_than_770 = [x for x in G.edges(data=True) if x[2]['weight']>770]\n",
    "# nx.draw_networkx_edges(G, pos, edgelist=greater_than_770, edge_color='r', alpha=0.4, width=6)\n",
    "\n",
    "# nx.draw_networkx_labels(G, pos, labels={'Los Angeles, CA': 'LA', 'New York, NY': 'NYC'}, font_size=18, font_color='w')\n",
    "\n",
    "# plt.axis('off')\n",
    "# plt.tight_layout();"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "6a6c7184",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# print(H)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fd39c847",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# df_g = nx.to_pandas_edgelist(H)\n",
    "# df_g"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "07f2e3ce",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# print(H.edges)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "3fbb8588",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# import csv\n",
    "# from tqdm import tqdm\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "1aa7775e",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# I = nx.DiGraph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "720079a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# with open('draftIntegrated.csv', 'r') as f:\n",
    "#     data = csv.reader(f)\n",
    "#     headers = next(data)\n",
    "#     for row in tqdm(data):\n",
    "#         I.add_node(row[3]) #superhero in first column\n",
    "#         I.add_node(row[5]) #superhero in second column\n",
    "#         if I.has_edge(row[3], row[5]):\n",
    "#             # edge already exists, increase weight by one\n",
    "#             I[row[3]][row[5]]['weight'] += 1\n",
    "#         else:\n",
    "#             # add new edge with weight 1\n",
    "#             I.add_edge(row[3], row[5], weight = 1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e68d5f88",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "# I_nodes = I.number_of_nodes()\n",
    "# I_edges = I.number_of_edges()\n",
    "# print(\"Nodes = \", I_nodes, \" Edges = \",I_edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "96e4f1ac",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "# nx.draw_networkx(I)\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7597942d",
   "metadata": {
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "# df_I = nx.to_pandas_edgelist(I)\n",
    "# df_I"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e51f906",
   "metadata": {},
   "source": [
    "<h2 align=center>InfoViz MET Data with Seaborn and Python (Part 1)</h2>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e00fce8",
   "metadata": {
    "heading_collapsed": true
   },
   "source": [
    "### Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9b7bba29",
   "metadata": {
    "hidden": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package stopwords to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package stopwords is already up-to-date!\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.17.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "#pd.set_option('max_columns', None)\n",
    "pd.options.display.width = 0\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "plt.style.use('ggplot')\n",
    "import datetime\n",
    "from scipy import stats\n",
    "from scipy.sparse import hstack, csr_matrix\n",
    "from sklearn.model_selection import train_test_split, KFold\n",
    "from wordcloud import WordCloud\n",
    "from collections import Counter\n",
    "from nltk.corpus import stopwords\n",
    "from nltk.util import ngrams\n",
    "from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "import nltk\n",
    "nltk.download('stopwords')\n",
    "stop = set(stopwords.words('english'))\n",
    "import os\n",
    "import plotly.offline as py\n",
    "py.init_notebook_mode(connected=True)\n",
    "import plotly.graph_objs as go\n",
    "import plotly.tools as tls\n",
    "import json\n",
    "import ast\n",
    "from urllib.request import urlopen\n",
    "from PIL import Image"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7febbf3f",
   "metadata": {},
   "source": [
    "### Task 1: Data Loading and Exploration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8f44f244",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0.1</th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>Object Number</th>\n",
       "      <th>Is Highlight</th>\n",
       "      <th>Is Timeline Work</th>\n",
       "      <th>Is Public Domain</th>\n",
       "      <th>Object ID</th>\n",
       "      <th>Gallery Number</th>\n",
       "      <th>Department</th>\n",
       "      <th>AccessionYear</th>\n",
       "      <th>...</th>\n",
       "      <th>Link Resource</th>\n",
       "      <th>Object Wikidata URL</th>\n",
       "      <th>Metadata Date</th>\n",
       "      <th>Repository</th>\n",
       "      <th>Tags</th>\n",
       "      <th>Tags AAT URL</th>\n",
       "      <th>Tags Wikidata URL</th>\n",
       "      <th>lastTransfer</th>\n",
       "      <th>agentsTransfer</th>\n",
       "      <th>lastDealer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1985.5</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435573</td>\n",
       "      <td>NaN</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1985.0</td>\n",
       "      <td>...</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19912099</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Goddess|Putti|Flowers|Landscapes</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300343852|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q205985|https://...</td>\n",
       "      <td>Purchase</td>\n",
       "      <td>Rudolph and Lentilhon G. von Fluegge Foundatio...</td>\n",
       "      <td>Rudolph and Lentilhon G. von Fluegge Foundatio...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>12.6</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435574</td>\n",
       "      <td>NaN</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1912.0</td>\n",
       "      <td>...</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19905919</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Soldiers|Men|Crucifixion|Horses|Mountains|Ange...</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300185678|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q4991371|https:/...</td>\n",
       "      <td>Purchase</td>\n",
       "      <td>Rogers Fund</td>\n",
       "      <td>Rogers Fund</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>42.53.2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>435575</td>\n",
       "      <td>NaN</td>\n",
       "      <td>European Paintings</td>\n",
       "      <td>1942.0</td>\n",
       "      <td>...</td>\n",
       "      <td>http://www.metmuseum.org/art/collection/search...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q19913805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Metropolitan Museum of Art, New York, NY</td>\n",
       "      <td>Kings|Men|Portraits</td>\n",
       "      <td>http://vocab.getty.edu/page/aat/300025481|http...</td>\n",
       "      <td>https://www.wikidata.org/wiki/Q12097|https://w...</td>\n",
       "      <td>Gift</td>\n",
       "      <td>Helen O. Brice</td>\n",
       "      <td>Helen O. Brice</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 59 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0.1  Unnamed: 0 Object Number  Is Highlight  Is Timeline Work  \\\n",
       "0             0           0        1985.5             0                 0   \n",
       "1             1           1          12.6             0                 0   \n",
       "2             2           2       42.53.2             0                 0   \n",
       "\n",
       "   Is Public Domain  Object ID  Gallery Number          Department  \\\n",
       "0                 1     435573             NaN  European Paintings   \n",
       "1                 1     435574             NaN  European Paintings   \n",
       "2                 1     435575             NaN  European Paintings   \n",
       "\n",
       "   AccessionYear  ...                                      Link Resource  \\\n",
       "0         1985.0  ...  http://www.metmuseum.org/art/collection/search...   \n",
       "1         1912.0  ...  http://www.metmuseum.org/art/collection/search...   \n",
       "2         1942.0  ...  http://www.metmuseum.org/art/collection/search...   \n",
       "\n",
       "                       Object Wikidata URL  Metadata Date  \\\n",
       "0  https://www.wikidata.org/wiki/Q19912099            NaN   \n",
       "1  https://www.wikidata.org/wiki/Q19905919            NaN   \n",
       "2  https://www.wikidata.org/wiki/Q19913805            NaN   \n",
       "\n",
       "                                 Repository  \\\n",
       "0  Metropolitan Museum of Art, New York, NY   \n",
       "1  Metropolitan Museum of Art, New York, NY   \n",
       "2  Metropolitan Museum of Art, New York, NY   \n",
       "\n",
       "                                                Tags  \\\n",
       "0                   Goddess|Putti|Flowers|Landscapes   \n",
       "1  Soldiers|Men|Crucifixion|Horses|Mountains|Ange...   \n",
       "2                                Kings|Men|Portraits   \n",
       "\n",
       "                                        Tags AAT URL  \\\n",
       "0  http://vocab.getty.edu/page/aat/300343852|http...   \n",
       "1  http://vocab.getty.edu/page/aat/300185678|http...   \n",
       "2  http://vocab.getty.edu/page/aat/300025481|http...   \n",
       "\n",
       "                                   Tags Wikidata URL  lastTransfer  \\\n",
       "0  https://www.wikidata.org/wiki/Q205985|https://...      Purchase   \n",
       "1  https://www.wikidata.org/wiki/Q4991371|https:/...      Purchase   \n",
       "2  https://www.wikidata.org/wiki/Q12097|https://w...          Gift   \n",
       "\n",
       "                                      agentsTransfer  \\\n",
       "0  Rudolph and Lentilhon G. von Fluegge Foundatio...   \n",
       "1                                        Rogers Fund   \n",
       "2                                     Helen O. Brice   \n",
       "\n",
       "                                          lastDealer  \n",
       "0  Rudolph and Lentilhon G. von Fluegge Foundatio...  \n",
       "1                                        Rogers Fund  \n",
       "2                                     Helen O. Brice  \n",
       "\n",
       "[3 rows x 59 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#ita_data=pd.read_csv('italianData.csv')\n",
    "ita_data=pd.read_csv(\"E:\\\\GitHub\\\\infoviz\\\\data_management\\\\transfers.csv\")\n",
    "ita_data.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "403e31b6",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a0f6ef6c",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c2d2c6be",
   "metadata": {},
   "source": [
    "### Task 2: Visualizing the Target Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "266734f7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aligh\\AppData\\Local\\Temp\\ipykernel_22204\\232986369.py:2: MatplotlibDeprecationWarning:\n",
      "\n",
      "Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
      "\n",
      "E:\\DHDK\\datascience-in-dataspell\\datascience-in-dataspell\\venv\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning:\n",
      "\n",
      "`distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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1CgoK0u+//263zszaPvnkEx06dCjbe6G5uLhoypQpGjlypJ5++ml17txZ1atX1549e7R3717VqVPnlu/Flp1q1arptdde0z//+U/1799f3bp1k5eXl37++WdFRkbqwQcfLNAVnNLNb7MhXTvHKq9X2Gbq2bOnfvjhB61fv17Hjx9X27ZtdeTIEe3YsUNVqlS56Zg51ZiXbbRPnz5as2aNxo0bpwcffFDe3t7at2+fdu3apfLlyysmJsbufnWZn/3f/vY3tWvXTo8//rhGjx6tbdu2af78+dq9e7datWqlhIQErV+/XleuXNH06dNt2/XLL7+sZ599Vv3791ePHj3k6+ur/fv3a8eOHWrVqlWhXVUMFCcCGlDIbrzNQunSpVWlShU99thjeuKJJ1S9evWbruOVV15RjRo1tHTpUq1YsULp6emqW7eupkyZYtuTIl27GnHo0KH67rvvtHDhQt1zzz05HjrNTadOnVS/fn19+umnOnXqlGrWrKnJkydr0KBBdss99thjSk9P16JFi/TNN9+ocuXKGjNmjNq2bZvlysWePXtq69at+umnn7Ro0SK7uq/XrFkzLVu2TLNmzdKvv/6qX375RQEBAXrmmWc0atQo23ljjvL444+rZs2amjNnjjZs2CCr1ao6depozJgxGjhwYIHXf7PbbEjXbjKc34AmSTNmzFDDhg21bNkyff3116pZs6Y+/vhjLVu2LF8BLb/baKdOnfTvf/9boaGh+v7771WqVClVq1ZNb775ppo2bar+/ftr69at6tWrlyTp6aef1tGjR7V9+3adOHFCjz/+uEqVKqWvvvpKn3/+udauXatFixapTJkyatasmcaMGWO7sbF07WHuc+bMUWhoqLZs2aKEhAQFBATo2Wef1ahRo7iSE07JYuU5GQAAAEbhzw4AAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDC33ZMEYmNj7Z7xVtJVrFhR0dHRxV2GsehP7uhPzuhN7uhP7uhPzkp6b9zc3OTn53fz5YqgFodKS0sr8IOgnYXFYpF0rSc8ECIr+pM7+pMzepM7+pM7+pMzepN3HOIEAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMO4FXcBAG6NJSlRSkq89dfLoqTkJFkSEiRZC1aMl7esXt4FWwcAwIaABtyukhKVfnDvLb/cIosyfH2VHh8vawEDmmv9JhIBDQAchkOcAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGLdbfWFqaqomTpyoESNGqEGDBpKk8+fPa/bs2QoPD1eFChU0fPhwNW7c2PaaP//8U19++aXOnTunwMBAPf3007rzzjsL/i4AAACcyC3tQUtJSdEHH3ygyMhI2zSr1app06bJ19dXISEh6tChg6ZPn64LFy5Iki5cuKBp06apU6dOCgkJkY+Pj6ZNmyar1eqYdwIAAOAk8h3QoqKi9Prrr+vcuXN20w8cOKCzZ89q9OjRqlq1qvr376+goCBt3rxZkrRp0ybVqVNHvXv3VrVq1TR27FhFR0fr4MGDjnknAAAATiLfAe3gwYNq0KCBJk+ebDc9PDxctWvXVqlSpWzTgoODFRERIUmKiIjQXXfdZZvn6empWrVqKTw8/FZrBwAAcEr5Pgete/fu2U6Pi4uTn5+f3bSyZcsqJiZGkhQbG5tlvq+vr21+flgslny/xhll9oF+ZM/Z+2P533+3/Prr+1PAMw0sskhO1Gdn33YKiv7kjv7kjN7k3S1fJHCj5ORkubnZr87NzU2pqamSrp235u7ubjff3d1daWlp+RqnYsWKBSvUCfn7+xd3CUZz1v4kJScpw9e3wOvx8fEp8DpcfHzkVblygddjGmfddhyF/uSO/uSM3tycwwKau7u7kpOT7aalpaXJ09PTNj8zrGVKTU2Vl5dXvsaJjo7Od6hzVhaLRf7+/jp79iwXW2TD2ftjSUhQenz8rb/eYpGPj48SEhIK3B/XhATFnzlToHWYxNm3nYKiP7mjPzmjN9d2XuVlZ5PDAlq5cuUUFRVlN+36w57lypVTXFxclvk1a9bM91gl9UPNidVqpSe5cN7+WGUtyLHJ/73Uai3gejIrccIeO++24xj0J3f0J2f05uYcdqPaoKAgHT9+XCkpKbZpYWFhCgwMlCQFBgbq8OHDtnnJyck6ceKEbT4AAACucVhAq1+/vsqXL69Zs2YpMjJSK1eu1JEjR9SlSxdJUufOnRUWFqaVK1cqMjJSs2bNUqVKlWw3uQUAAMA1DgtoLi4uevXVVxUbG6uJEyfql19+0YQJE1ShQgVJUqVKlTRhwgRt2bJFkyZNUmJiol555RWu5AAAALhBgc5BW7Jkid3X/v7+euedd3JcvmnTpmratGlBhgQAAHB6PCwdAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDBujlzZhQsX9Pnnn+vQoUPy9vZWz5499eCDD0qSjh8/rtDQUJ08eVLVqlXTqFGjVLt2bUcODwAA4BQcugft3//+t0qVKqUpU6Zo+PDh+uabb7Rr1y5dvXpVISEhqlevnqZMmaKgoCCFhITo6tWrjhweAADAKTgsoCUmJioiIkIDBgxQ5cqV1bJlSzVu3Fj79u3Tr7/+Kg8PDw0bNkxVq1bV8OHDVbp0ae3YscNRwwMAADgNhwU0Dw8PeXp66qefflJaWppOnz6tw4cPq1atWoqIiFC9evVksVgkSRaLRcHBwQoPD3fU8AAAAE7DYeegeXh4aOTIkZozZ47Wrl2rjIwMderUSV26dNGuXbtUrVo1u+V9fX0VGRl5S2NlBr2S7vrAi6ycvT+W//13y6+/vj/WgtciJ+qzs287BUV/ckd/ckZv8s6hFwlERUWpefPm6t27tyIjI/XFF1+oUaNGSklJkbu7u92y7u7uSktLy/cYFStWdFS5TsPf37+4SzCas/YnKTlJGb6+BV6Pj49Pgdfh4uMjr8qVC7we0zjrtuMo9Cd39Cdn9ObmHBbQ9u3bp82bN+vTTz+Vh4eH6tSpo4sXL2r58uWqVKmSUlNT7ZZPTU2Vh4dHvseJjo6+pWDnjCwWi/z9/XX27FlZrQXcBeKEnL0/loQEpcfH3/rrLRb5+PgoISGhwP1xTUhQ/JkzBVqHSZx92yko+pM7+pMzeiO5ubnlaWeTwwLasWPHVLlyZbvQVbNmTS1fvlz16tVTXFyc3fJxcXHy8/O7pbFK6oeaE6vVSk9y4bz9scpakGOT/3up1VrA9WRW4oQ9dt5txzHoT+7oT87ozc057CIBPz8/nT171m7v1unTp1WpUiUFBgYqPDzc9mFYrVYdPnxYgYGBjhoeAADAaTgsoLVo0UKurq769NNPdfr0af3+++9asWKFHnjgAbVp00aXL1/WvHnzFBUVpXnz5ik5OVlt27Z11PAAAABOw2GHOL28vPTmm29q7ty5mjRpknx8fDRgwAB169ZNFotFEydOVGhoqDZu3KgaNWpo0qRJKlWqlKOGBwAAcBoOvYqzatWqeuONN7KdV7duXU2dOtWRwwEAADglHpYOAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIZxK+4CgNuNJSlRSkos7jJkSUku7hIAAIWEgAbkV1Ki0g/uLe4q5Fa9dnGXAAAoJBziBAAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAM4+bIlaWmpurLL7/U9u3b5ebmps6dO2vIkCGyWCw6fvy4QkNDdfLkSVWrVk2jRo1S7dq1HTk8AACAU3DoHrS5c+dq3759ev311/X8889r06ZN2rhxo65evaqQkBDVq1dPU6ZMUVBQkEJCQnT16lVHDg8AAOAUHLYHLTExUVu2bNEbb7yhunXrSpJ69+6tiIgIubq6ysPDQ8OGDZPFYtHw4cO1Z88e7dixQ506dXJUCQAAAE7BYXvQwsLC5OXlpfr169um9evXT2PHjlVERITq1asni8UiSbJYLAoODlZ4eLijhgcAAHAaDtuDdu7cOVWsWFFbt27VihUrlJaWpk6dOmnAgAGKjY1VtWrV7Jb39fVVZGTkLY2VGfRKuusDL7IqrP5Y/vdfcStoHXb9sRa8FjnRdsj3Vu7oT+7oT87oTd45LKBdvXpVZ86c0caNGzV27FjFxsbqs88+k6enp1JSUuTu7m63vLu7u9LS0vI9TsWKFR1VstPw9/cv7hKM5uj+JCUnKcPX16HrvBXppUrJ1QF1+Pj4FHgdLj4+8qpcucDrMQ3fW7mjP7mjPzmjNzfnsIDm6uqqK1eu6Pnnn7eFqAsXLmjDhg3y9/dXamqq3fKpqany8PDI9zjR0dG3FOyckcVikb+/v86ePSurtYC7QJxQYfXHkpCg9Ph4h63vVrn5lldaAeqwWCzy8fFRQkJCgfvjmpCg+DNnCrQOk/C9lTv6kzv6kzN6I7m5ueVpZ5PDAlrZsmXl7u5uN2hAQIAuXLig+vXrKy4uzm75uLg4+fn53dJYJfVDzYnVaqUnuXB8f6yyFvSYoMOqKEAd/3up1Vrw92OVc26DfG/ljv7kjv7kjN7cnMMuEggKClJqaqpOnz5tm3bq1ClVqlRJgYGBCg8Pt30YVqtVhw8fVmBgoKOGBwAAcBoOC2gBAQFq1qyZZs2apRMnTmjv3r1auXKl7rvvPrVp00aXL1/WvHnzFBUVpXnz5ik5OVlt27Z11PAAAABOw6FPEnj++ef1xRdf6M0335Snp6d69OihBx54QBaLRRMnTlRoaKg2btyoGjVqaNKkSSpVqpQjhwcAAHAKDg1oXl5eGjduXLbz6tatq6lTpzpyOAAAAKfEw9IBAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAzj0CcJAABwI0tSopSUWNxlSF7esnp5F3cVQJ4Q0AAAhSspUekH9xZ3FXKt30QioOE2wSFOAAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMNwFSeAArOkpUkXzhZ3GdxGAYDTIKABKLirSUo/eay4q+A2CgCcBoc4AQAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAM41bcBQCAs7EkJUpJicVdhuTlLauXd3FXAeAWENAAwNGSEpV+cG9xVyHX+k0kAhpwW+IQJwAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYJhCe1h6SEiIfHx89Oyzz0qSjh8/rtDQUJ08eVLVqlXTqFGjVLt27cIaHgAA4LZVKHvQtm/frj179ti+vnr1qkJCQlSvXj1NmTJFQUFBCgkJ0dWrVwtjeAAAgNuawwNaYmKiFixYoDp16tim/frrr/Lw8NCwYcNUtWpVDR8+XKVLl9aOHTscPTwAAMBtz+EB7auvvlL79u1VtWpV27SIiAjVq1dPFotFkmSxWBQcHKzw8HBHDw8AAHDbc+g5aPv379ehQ4f0r3/9S6GhobbpsbGxqlatmt2yvr6+ioyMvKVxMoNeSXd94EVWhdUfy//+K24FrcOuP9bircVRLLJIDvi8C7rtOFs/sqw3n/1x9n5kGYefzTmiN3nnsICWkpKizz77TCNHjpSHh0eWee7u7nbT3N3dlZaWlu9xKlasWKA6nZG/v39xl2A0R/cnKTlJGb6+Dl3nrUgvVUquDqjDx8fHmFoKysXHR16VKztsfbe67ZiyjTi6HzfKa39M6UeGu7vckpOKZKykE0eV23eWaxlfeZavUCS1mIjfWzfnsIC2bNky1a5dW02aNMkyz93dXampqXbTUlNTswS5vIiOjr6lYOeMLBaL/P39dfbsWVmtBdwF4oQKqz+WhASlx8c7bH23ys23vNIKUIfFYpGPj48SEhIK3J+C1uIorgkJij9zpsDrKei2Y8o24qh+3Ci//TGlH26xMUr741ihj5OX7y3X+k1kTUnNdp4z4/eW5ObmlqedTQ4LaNu3b1dcXJyGDRsmSbYQtWPHDt17772Ki4uzWz4uLk5+fn63NFZJ/VBzYrVa6UkuHN8fq6wFPSbosCoKUMf/Xmq1Fvz9FLgWB7HKsZ/1rW87ztmPLOvPc38M6kdR1JGH763C/mxMx++tm3NYQHv77beVnp5u+3rBggWSpMcee0wHDx7Ud999J6vVKovFIqvVqsOHD2vAgAGOGh4AAMBpOCyg3bi7rnTp0pKuHWf28fHRokWLNG/ePN1333368ccflZycrLZt2zpqeAAAAKdRJI968vLy0sSJExUWFqbXXntNERERmjRpkkqVKlUUwwMAANxWCu1RT5mPeMpUt25dTZ06tbCGAwAAcBo8LB0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMIV2FScAFDVLWpp04WzB1yOLkpKTZElI0K08Sd6SklzgGgCUbAQ0AM7japLSTxb8WYsWWZTh66v0+PhbejSQW/XaBa4BQMnGIU4AAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAw7gVdwEwnyUpUUpKLO4yJC9vWb28i7sKAAAKHQENN5eUqPSDe4u7CrnWbyIR0AAAJQCHOAEAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADMOTBAx2s0csWWRRUnKSLAkJkqyFV0dKcqGtGwAAZEVAM9lNHrFkkUUZvr5Kj4+XtRADmlv12oW2bgAAkBWHOAEAAAxDQAMAADAMhzhx27CkpUkXzuZ9+UI6R49z8gAAhY2AhtvH1SSlnzyW58UL6xw9zskDABQ2DnECAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYxs2RK7t48aLmzp2r/fv3y8PDQ/fcc4+GDBkiDw8PnT9/XrNnz1Z4eLgqVKig4cOHq3Hjxo4cHgAAwCk4bA+a1WrVv/71L6WkpOjdd9/Viy++qN27d2vx4sWyWq2aNm2afH19FRISog4dOmj69Om6cOGCo4YHAABwGg4LaKdPn1ZERISeeeYZVatWTXfddZcGDx6sbdu26cCBAzp79qxGjx6tqlWrqn///goKCtLmzZsdNTwAAIDTcNghzrJly+pvf/ubypYtazc9KSlJ4eHhql27tkqVKmWbHhwcrIiIiFsay2KxFKTU24blf//lOP9/fbBYLJK1+OooKvmto7D6c7v2I8vrHdgfZ+mJbT0F7I1J/VAh/Ly0608e6zClH0VRR162n8L6bEyX322nJHNYQLvjjjvUpEkT29cZGRn64Ycf1KhRI8XFxcnPz89u+bJlyyomJibf41SsWLGgpd42kpKTlOHre9PlfHx8CrWO9FKl5JqHOgrbrdbh6P7c7v24kSP642w9yXSrvTGlHy4+PvKqXLnQ1u/v75+n5fL6s6ywFfXnktv2U9ifjenyuu2UZA69SOB6CxYs0LFjxxQSEqI1a9bIzc1+KDc3N6WmpuZ7vdHR0UpLS3NUmUazJCQoPT4+5/kWi3x8fJSQkCCrtfB2obn5lldaLnUUlfzWUVj9uV37cSNH9sdZepKpoL0xpR+uCQmKP3PG4eu1WCzy9/fX2bNn89Sfm/0sKypF9bnkZfsprM/GdPnddpyRm5tbnnY2FUpAW7BggdauXasXX3xR1atXl7u7u5KTk+2WSUtLk6en5y2tv+R8qFZZczu+8r9ZVutNlnNIFcXf83zXUUj9uW37kXUF1/7ngP44TU/+b0XX/neLvTGqH4X489Jqzev6DepHUdSRh+2nsD8b0+V92ym5HH4ftC+++EKrV6/Wc889pzZt2kiSypUrp7i4OLvlsjvsCQAAAAcHtKVLl+rHH3/Uiy++qHbt2tmmBwUF6fjx40pJSbFNCwsLU2BgoCOHBwAAcAoOC2hRUVH69ttv1bdvX9WrV09xcXG2f/Xr11f58uU1a9YsRUZGauXKlTpy5Ii6dOniqOEBAACchsPOQfv999+VkZGh5cuXa/ny5XbzlixZoldffVWffPKJJk6cKH9/f02YMEEVKlRw1PAAAABOw2EBrV+/furXr1+O8/39/fXOO+84ajgAAACnxcPSAQAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwzjsYekAALNY0tKkC2cdv15ZlJScJEtCgiTrzZdPSXZ4DYCzI6ABgLO6mqT0k8ccvlqLLMrw9VV6fLyseQhobtVrO7wGwNlxiBMAAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDAENAAAAMMQ0AAAAAxDQAMAADAMAQ0AAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAwBDQAAwDBuxV0AAAAljSUtTbpwtrjLkLy8ZfXyLu4qkA0CGgAARe1qktJPHivuKuRav4lEQDMShzgBAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAAwAAMAy32QAAoIQq6vuxWWRRUnKSLAkJkqz/N4P7sWVBQAMAoKQq4vuxWWRRhq+v0uPjZb0uoHE/tqw4xAkAAGAY9qABAIBixaOvsiKgAQCA4sWjr7LgECcAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhiGgAQAAGIaABgAAYBgCGgAAgGEIaAAAAIYhoAEAABiGgAYAAGAYAhoAAIBhCGgAAACGcSvuAkxkSUqUkhKLuwxZUpKLuwQAAFAMCGjZSUpU+sG9xV2F3KrXLu4SAABAMeAQJwAAgGGKdA9aSkqK5syZo507d8rDw0O9e/dW7969i7IEAAAA4xVpQFuwYIGOHTumN998UxcuXNDMmTNVsWJFtWnTpijLAAAAMFqRHeK8evWqNm3apOHDh6t27dpq1aqV+vTpo/Xr1xdVCQAAALeFIgtof/31l9LT0xUcHGybVq9ePUVERCgjI6OoygAAADBekR3ijI2NVZkyZeTm9n9D+vr6KjU1VYmJifLx8cnTeq5/fWGxlPaSq1+FQh/nZlzvKCOXXOqwWCSXO7zl4eomq7X46igq+a2jsPpzu/bjRo7sj7P0JFNBe+Ns/bhRfvvj7P24UV76U9J6kimn3pjSD5fSXrK6uxfqGHnNMRartTB/tf+fn3/+Wd98841mzZplm3bu3Dk999xz+uSTT1S+fPmiKAMAAMB4RXaI093dXampqXbTMr/29PQsqjIAAACMV2QBrVy5crp06ZLS09Nt0+Li4uTh4SEvL6+iKgMAAMB4RRbQatasKVdXV0VERNimhYWFqU6dOnJx4X65AAAAmYosGXl6eqpjx44KDQ3VkSNHtGvXLn3//ffq2bNnUZUAAABwWyiyiwQkKTk5WaGhodq5c6e8vLzUp08fPfjgg0U1PAAAwG2hSAMaAAAAbo6TvwAAAAxDQAMAADAMAQ0AAMAwRfaoJ+RNamqqJk6cqBEjRqhBgwaSpL1792rhwoU6ffq0AgIC9Oijj6pp06a21/z555/68ssvde7cOQUGBurpp5/WnXfeaZu/Zs0arVq1SleuXFHbtm01YsSI2/bmwNn1J1NSUpJeeuklDRkyRJ06dbJN37ZtmxYvXqzY2Fg1btxYY8aMsT1azGq1atGiRdq8ebMyMjLUtWtXPfroo7ftrV+y68/cuXO1bt06u+VGjBihHj16SCo5/cmuNxcuXFBoaKgOHDggPz8/DRkyRPfcc4/tNSWlN1LW/sycOVNbt27NslyDBg301ltvSSrZ/ZGkQ4cOad68eTp9+rT8/f01bNgw3X333bbXlJT+ZNebY8eOac6cOTp58qSqV6+uJ554QkFBQbbXlKTfW7fq9tsSnFhKSoo++OADRUZG2qadPXtW06dPV8eOHTVjxgx17NhR06ZN0/nz5yVd+wUzbdo0derUSSEhIfLx8dG0adOUee3Hjh07tHTpUo0ePVpvvvmmIiIitGDBgmJ5fwWVXX+ut2DBAsXGxtpNO3LkiD799FMNHDhQ//znP3X58mW7x42tXr1a27Zt0yuvvKLx48frl19+0erVqwv1fRSWnPoTFRWlRx99VJ999pntX+fOnSWVnP5k15v09HSFhITI1dVV77//vvr06aOPPvpIJ0+elFRyeiNl358nn3zSbpuZPHmy3N3d9cADD0iiP/Hx8Zo6daratWun6dOnq23btpo2bZpiYmIklZz+5NSbd999V9WrV9eUKVPUtm1bTZ48WRcuXJBUsn5vFQQBzRBRUVF6/fXXde7cObvpMTEx6tatm3r16qU777xTvXr1kqenp44cOSJJ2rRpk+rUqaPevXurWrVqGjt2rKKjo3Xw4EFJ0rp169SzZ081b95cdevW1ejRo7VlyxYlJycX+XssiJz6kyksLEz79+9X2bJl7aavX79ebdu2VceOHVWjRg2NGzdOe/bssQXctWvX6uGHH1a9evXUsGFDDR06VD/88ENhvx2Hy60/p06dUq1atVS2bFnbv8y/REtCf3LqzZ49exQTE6Nx48YpICBA9913n5o2barw8HBJJaM3Us798fLysttmli5dqjZt2qhVq1aS6M/hw4fl6uqqPn366M4779SAAQPk7u5uuxl7SehPTr3ZunWrypQpo1GjRqlKlSrq1auX6tWrpw0bNkgqOb+3CoqAZoiDBw+qQYMGmjx5st30Bg0aaPjw4ZKktLQ0bd68WWlpaapbt64kKSIiQnfddZdteU9PT9WqVUvh4eHKyMjQkSNHVL9+fdv8wMBApaWl6a+//ir8N+VAOfVHurZ7ffbs2Ro5cqTc3d3t5t3YnwoVKqhChQoKDw/XxYsXFRMTYze/Xr16io6OzrInznQ59ScpKUkXL15U5cqVs31dSehPTr05cOCAGjZsaPeouVdffVXdunWTVDJ6I+X+vZVp3759OnjwoIYMGWKbVtL74+3trUuXLmnnzp2yWq3atWuXrly5ourVq0sqGf3JqTfnz59XrVq17A7XVq9e3fbHT0n5vVVQnINmiO7du+c6/+zZs3rxxReVkZGhRx99VJUqVZIkxcbGys/Pz25ZX19fxcTE6PLly0pNTbWb7+rqqjJlyth2w98ucuvPihUrVLNmTTVu3DjLvNjYWJUrV85umq+vry5evKi4uDhJsutP5h64mJiYLH01WU79OXXqlCwWi5YvX669e/eqTJkyevDBB23n6JWE/uTUm3PnzqlSpUpauHChfv75Z/n4+GjQoEG2PUQloTfSzX/2SNLKlSvVqVMnVahQwTatpPfnrrvu0v33368ZM2bIYrEoIyNDY8eOVUBAgKSS0Z+ceuPr65slTMXExOjSpUuSSs7vrYJiD9ptwsfHRyEhIRo5cqSWLl2qHTt2SLp2/P/GvUbu7u5KS0uz7Q6+cb6bm5tSU1OLpvBCFhUVpR9//FFPPPFEtvOTk5Pl5mb/d4i7u7tSU1Oz7U/msmlpaYVUcdE6deqUJKlKlSqaNGmSunTpos8++0y7du2SVLL7k5ycrJ9++kmXL1/Wa6+9pg4dOmjGjBk6evSobX5J7c31zp07p/3799vOPctU0vtz9epVnT9/XoMGDdJ7772nAQMGaO7cubbvuZLcn9atWysiIkIbN25Uenq69u7dq99//9323kr67628Yg/abcLLy0u1atVSrVq1FBUVpfXr16tNmza2b/jrpaamysvLSx4eHravr5eWluYUV8NYrVbNnj1bgwcPznLuWSYPD48sP/BSU1Pl6elp+wGQmppq61Xmsplf3+46duyoFi1ayNvbW5JUo0YNnTlzRhs2bFCrVq1KdH9cXFxUpkwZPfXUU3JxcVHt2rV16NAhbdy4UXXq1CnRvbnezp07VbNmTVWtWtVueknvz3fffSer1aqBAwdKkmrXrq2IiAitXbtWo0aNKtH9qV69usaMGaO5c+cqNDRUNWvWVPfu3XXgwAFJKtG/t/KDPWiGi4yM1KFDh+ymVa1a1baruFy5crbd5Zni4uLk5+cnb29vubu7281PT0/XpUuXbptd6Lm5cOGCDh8+rK+++krDhg3TsGHDbLdNeO+99yTl3J+yZcvaDj9cPz+7Qw+3M4vFYgtnmapUqaKLFy9KKtn98fPzU+XKle3OkwkICLAdRinJvbne3r171bJlyyzTS3p/jh8/rho1athNq1Wrlu1KxZLen86dO2vevHn69NNPNXXqVFksFlWsWFFSyf69lR8ENMPt3r1bs2fP1vWPTD127JiqVKki6drJk4cPH7bNS05O1okTJxQYGCgXFxfVrVtXYWFhtvnh4eFydXXN8oPldlSuXDl9+OGHmjZtmu2fn5+fBg8erKefflrStf5c//4vXLigmJgYBQUFqVy5cqpQoYLd/LCwMFWoUMFpfhAsXrxY//jHP+ymnThxwnaeTEnuT2BgoCIjI5WRkWGbdurUKdsvkZLcm0xWq1VHjx5VvXr1sswr6f3x8/NTVFSU3TS2n2v279+v//znP3JxcZGfn5+sVqv27Nlju0daSf69lR8ENMO1b99esbGxWrhwoc6cOaP169frl19+Ub9+/SRd+yslLCxMK1euVGRkpGbNmqVKlSrZvhG6d++uVatWadeuXTpy5Ig+//xzde3a1Sl2Fbu6usrf39/un6urq3x9fW1/oXbv3l0///yzNm/erL/++kszZ85Us2bNbBdZdO/eXQsXLtSBAwd04MABLVy4UD179izOt+VQzZs318GDB7Vq1SqdPXtWGzZs0M8//6w+ffpIKtn9adeunTIyMvT555/r7Nmz+uGHH7R371517dpVUsnuTabo6GhduXIly+FNif506dJFe/bs0erVq3Xu3DmtWbNGe/fu1f333y+pZPcnICBAu3fv1oYNG3Tu3DnNmTNHly9ftl2cVJJ/b+UH56AZrnz58nr99df15Zdfav369apYsaJefvll1a5dW5JUqVIlTZgwQfPmzdOyZcsUHBysV155RRaLRdK1X0LR0dEKDQ1VamqqWrdurccee6w431KRCgoK0ujRo7V48WIlJiba7uadqU+fPoqPj9f06dPl4uKiLl266MEHHyzGih2rbt26evnll7VkyRItXrxYlSpV0vPPP2+7o3dJ7o+Xl5feeOMNhYaGavz48apQoYJefPFF2/dWSe5Npvj4eEnSHXfckWVeSe9PUFCQJkyYoMWLF2vx4sUKCAjQpEmTVK1aNdv8ktqfcuXK6aWXXtL8+fM1f/58BQYG6o033lCpUqUk8XsrryzW64+dAQAAoNhxiBMAAMAwBDQAAADDENAAAAAMQ0ADAAAwDAENAADAMAQ0AAAAwxDQAAAADENAA+B0SvrtHUv6+wecAU8SAJAnYWFhWr16tQ4fPqykpCT5+fmpYcOG6tWrV5ZHAQ0ePFgDBw7U4MGDc1zf22+/bfd/R4iJidFnn32mkSNH2h6pk53c6pKkvn37aujQoQWq5aefftKsWbP08ccf51jL22+/rYMHD9q+tlgs8vT0VEBAgDp06KD7779frq6u+Ro3MjJSs2fP1uTJkwtUP4DiRUADcFMrV67U119/rcaNG2v48OHy8/OzPb/ytdde09ixY9WuXbt8rfOpp55yeJ379u3Tnj178rRsly5d1KVLl2znZT7LtSjUqlVLI0eOlCRlZGQoMTFRe/fu1ZdffqmwsDC9+OKLcnHJ+8GO3377TeHh4YVVLoAiQkADkKvdu3dr0aJFGjRokAYNGmSbXr9+fXXo0EEffPCBZs2aperVq9ueQ5gX2T2AuyiVK1fO9kzS4lS6dOksdbRo0UIBAQGaN2+etm/frvbt2xdTdQCKCwENQK6WLVumKlWqaODAgVnmubm5acyYMXrmmWf03Xffady4cbZ5V65c0Ycffqj//ve/8vT01D333KOhQ4fK09NTUtZDnBkZGVq1apU2bdqkmJgYVaxYUT169NADDzxgN+bPP/+sNWvW6NSpUypTpozat2+vwYMHa9u2bZo1a5Ykady4cerYsaOeffbZAr338+fPa9y4cXrppZf066+/6o8//pCrq6tat26t4cOH2x7+nJGRoRUrVmjjxo26dOmS7r77btWvX79AY/fo0UOrVq3Sjz/+aAtoKSkpWrZsmXbs2KELFy7I3d1ddevW1bBhw1SzZk0tWbJEy5Ytk2R/mDmvvQVgDgIagBwlJCTo6NGj6tOnjywWS7bLeHt7q1GjRvrvf/9rN33dunVq1qyZXn75ZZ06dUrffPONYmJi9Morr2S7ns8//1xbtmxR//79FRwcrIMHD2revHm6fPmyLRyuX79eX3zxhbp06aIhQ4bo/Pnzmj9/vhITE/XII49owIABWr58uSZMmKDq1avn+t6sVqvS09OznXfjeV+fffaZOnfurFdeeUVHjhzRN998Ix8fHz366KOSpAULFmjdunV66KGHVLduXf32229auHBhruPfjIuLixo2bKjt27crPT1drq6u+vjjj3Xo0CENGTJE/v7+OnPmjJYsWaIPPvhAM2bMUNeuXXXx4kVt3rxZkydPVvny5fPcWwBmIaAByFF0dLQkqWLFirku5+/vr99//12JiYny9vaWdO0Q5oQJE+Ti4qKmTZvKxcVF8+bN08mTJ7OEp9OnT2vTpk0aMmSI+vXrJ0lq3LixLBaLVqxYofvvv1933HGHvv32W7Vs2VJPP/207bVXr17V9u3b5eXlJX9/f0lSzZo1c71IQJK+/fZbffvtt9nO+/zzz+Xj42P7ulmzZnr88cclSY0aNdKff/6p3bt369FHH9Xly5e1bt069erVyxZ2mjRpotjYWO3duzfXGm6mbNmySk9P16VLl+Tt7a0rV67oySef1D333CPp2mHmK1eu6KuvvlJ8fLzKly9vO38u87BpXnpbpkyZAtUJwPEIaABylHm7hptdSZjd/DZt2tid3N6qVSvNmzdPhw4dyhLQ9u/fL6vVqhYtWtjt1WrRooWWL1+uQ4cOqUqVKoqPj1fr1q3tXtunTx/16dMn3++ta9eu6tatW7bz7rjjDruvbzxHrHz58rbwGhERofT0dDVv3txumbZt2xY4oGWyWCxyc3PT66+/Lkm6ePGiTp8+rTNnzmj37t2SpNTU1Gxfm5fetmrVyiF1AnAcAhqAHGXuOcsMIzk5d+6cSpcubdt7Jl3b+3M9X19fSdLly5ezvD4xMVGS9PLLL2e7/tjYWNserev3bBWEn5+f6tSpk6dlM8+by2SxWGzhNbP2G+vy8/MrcI0xMTHy8PCw7eHKvLrz1KlTKl26tGrUqGE7Dy6ne5/lpbcAzENAA5AjX19fBQYGaufOnXr44Yezvd1DUlKS/vzzzyx7kDKDQaa4uDhJ2QcsLy8vSdKbb76p0qVLZ5lfoUIFJSQkSJLt/5kuXbqk48ePF9sVmZnhKS4uTgEBAXZ1FUR6eroOHjyo4OBgubi46OzZs5o2bZpatmyp1157TXfeeacsFot++OGHXPfU5aW3AMzDkwQA5GrQoEE6ffq0vv766yzzMjIyFBoaqpSUlCyHGW+8H9n27dtlsVjUoEGDLOvJvOLx0qVLqlOnju1fQkKCFi9erEuXLqlKlSoqU6aM7ZBepq1btyokJERpaWn5ul+YowQHB8vDw0M7duywm35jnfn1448/KjY2Vt27d5ckHTt2TKmpqerXr5/8/f1tF21k9jlzD9qNPchLbwGYhz1oAHLVpEkTPf7445o/f75OnDihzp07y8/PT+fPn9eGDRt04sQJPf3006pZs6bd644ePapPP/1U9957r44cOaIlS5aoc+fOqly5cpYxqlevrvbt22v27NmKjo5W7dq1baGwUqVKCggIkIuLiwYPHqw5c+bI19dXLVq00OnTp7V06VLdf//98vb2tu0t2rVrl5o2baoqVark+L4uXryY4w1dS5UqddOrQK9f9qGHHtI333wjT09PNWzYUHv27MlzQLty5YqtDqvVqkuXLmnv3r3auHGj2rdvbzvnrnbt2nJ1ddXChQvVu3dvpaamasuWLbaAlpycLOn/zp/btm2bgoKC8tRbAOYhoAG4qV69eikoKEhr167V/PnzlZCQoLJly+ruu+/WM888k+1NZwcOHKijR49qypQp8vLyUp8+fexudHujsWPHasWKFfrxxx914cIFlS1bVu3atdMjjzxi2yt0//33y9PTU99//702btyo8uXLq2/fvurbt68kqWHDhmrUqJEWLVqkffv2adKkSTmOt3nzZm3evDnbeTVq1NC0adPy3J/+/furVKlSWrt2rdauXaugoCANGzZMn3/++U1fe/z4cf3973+XdO3ctsxw+NRTT6lr16625fz9/fXCCy9o6dKlmjp1qry9vRUYGKi33npL77zzju3ii9atW+vnn3/WzJkz1bVrVz311FN56i0As1isPFUXQDF4/fXX5e3tnWuIAoCSij+dABSp06dPa8uWLfrrr79s9y0DANjjECeAIvX7779r6dKlqlmzpnr37l3c5QCAkTjECQAAYBgOcQIAABiGgAYAAGAYAhoAAIBhCGgAAACGIaABAAAYhoAGAABgGAIaAACAYQhoAAAAhvn/Jno2hUyZJMAAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.distplot(ita_data['Object End Date'], kde=False);\n",
    "plt.title('Distribution of End Dates');\n",
    "# plt.subplot(1, 2, 2)\n",
    "# sns.distplot(np.log1p(ita_data['Object End Date']), kde = False)\n",
    "# plt.title('Distribution of Log-transformed End Dates')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "9a856782",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ita_data['log_enddate'] = np.log1p(ita_data['Object End Date'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "13e63450",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aligh\\AppData\\Local\\Temp\\ipykernel_22204\\3534971459.py:2: MatplotlibDeprecationWarning:\n",
      "\n",
      "Auto-removal of overlapping axes is deprecated since 3.6 and will be removed two minor releases later; explicitly call ax.remove() as needed.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(16, 6))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.distplot(ita_data['AccessionYear'], kde=False);\n",
    "plt.title('Distribution of AccessionYear');\n",
    "# plt.subplot(1, 2, 2)\n",
    "# sns.distplot(np.log1p(ita_data['AccessionYear']), kde = False)\n",
    "# plt.title('Distribution of Log-transformed AccessionYear')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7d7a4a69",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# fig, ax = plt.subplots(figsize=(16, 6))\n",
    "# plt.subplot(1, 2, 1)\n",
    "# sns.distplot(ita_data['Medium'], kde=False);\n",
    "# plt.title('Distribution of End Dates');\n",
    "# # plt.subplot(1, 2, 2)\n",
    "# # sns.distplot(np.log1p(ita_data['Medium']), kde = False)\n",
    "# # plt.title('Distribution of Log-transformed')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92337733",
   "metadata": {
    "collapsed": false
   },
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "35109bda",
   "metadata": {},
   "source": [
    "#####  DistPlot could not convert string, for example 'Oil on canvas', to float.\n",
    "#####  Maybe we can create a numerical label list for the column 'Medium'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "779fb0e9",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16a8f85c",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "e4c0c066",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4f1e770",
   "metadata": {},
   "source": [
    "### Task 5: Distribution of Type of Transfer in Paintings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "71e2012b",
   "metadata": {},
   "outputs": [],
   "source": [
    "medium_data = ita_data.loc[ita_data['lastTransfer'].isin(ita_data['lastTransfer'].value_counts().head(10).index)]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5cbe7ce8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Mean TransferType of Paintings per Accession Year')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "plt.subplot(1, 2, 1)\n",
    "sns.boxplot(x='AccessionYear', y='lastTransfer', data=medium_data)\n",
    "plt.title('Mean TransferType of Paintings per Accession Year')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3592058b",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "7399d034",
   "metadata": {},
   "source": [
    "### Task 6: Frequent Titles in Paintings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "88836bb4",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fav_tags=ita_data.loc[ita_data['lastDealer'].isin(['Rogers Fund',\n",
    "                                'Gwynne Andrews Fund',\n",
    "                                'George Blumenthal',\n",
    "                                'Michael Friedsam',\n",
    "                                'Theodore M. Davis',\n",
    "                                'The Jules Bache Collection',\n",
    "                                'The Jack and Belle Linsky Collection',\n",
    "                                'J. Pierpont Morgan',\n",
    "                                'Mrs. Charles Wrightsman',\n",
    "                                'Maitland F. Griggs',\n",
    "                                'Grace Rainey Rogers',\n",
    "                                'Benjamin Altman'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "ac05a6f3",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# copy_ita_data=ita_data.copy()\n",
    "fav_tags = fav_tags[fav_tags['Tags'].notnull()]\n",
    "# tags_list=[]\n",
    "# for i in range(len(copy_ita_data)):\n",
    "#     string_it=copy_ita_data.Tags.iloc[i].split('|')\n",
    "#     string_it=copy_ita_data.Tags.iloc[i].split(' and ')\n",
    "#     ' '.join(string_it)\n",
    "#     copy_ita_data.Tags.iloc[i]=' '.join(string_it)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2da8b8e2",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12, 12))\n",
    "text = ''.join(fav_tags['Tags'].values)\n",
    "wordcloud = WordCloud(max_font_size=None,\n",
    "                      background_color='white',\n",
    "                      width=1200, height=1000).generate(text)\n",
    "plt.imshow(wordcloud)\n",
    "plt.title('Top Tags across Paitntings ...')\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "3bef46a4",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "fav_artist_df=ita_data.loc[ita_data['Artist Display Name'].isin(['Giovanni Battista Tiepolo',\n",
    "                                                        'Lorenzo Monaco (Piero di Giovanni)',\n",
    "                                                        'Bernardo Daddi',\n",
    "                                                        'Giovanni di Paolo (Giovanni di Paolo di Grazia)',\n",
    "                                                        'Martino di Bartolommeo di Biagio',\n",
    "                                                        'Titian (Tiziano Vecellio)',\n",
    "                                                        'Francesco Guardi',\n",
    "                                                        'Garofalo (Benvenuto Tisi da Garofalo)',\n",
    "                                                        'Canaletto (Giovanni Antonio Canal)',\n",
    "                                                        'Simone Martini',\n",
    "                                                        'Giovanni Battista Tiepolo',\n",
    "                                                        'Titian (Tiziano Vecellio)'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "8aa888a8",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "E:\\DHDK\\datascience-in-dataspell\\datascience-in-dataspell\\venv\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning:\n",
      "\n",
      "Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "plt.figure()\n",
    "sns.scatterplot(fav_artist_df['AccessionYear'], fav_artist_df['Artist Display Name'],hue=fav_artist_df['lastTransfer'] ,alpha=0.6)\n",
    "plt.title(\"...\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "d0e124fe",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# subset_final = fav_artist_df[['Artist Display Name', 'Object End Date' ,'AccessionYear', 'lastTransfer', 'agentsTransfer']]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db9a6a73",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "##### Label encoding the variables before doing a pairplot because pairplot ignores strings\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "28b3ef3a",
   "metadata": {
    "collapsed": false,
    "pycharm": {
     "is_executing": true
    }
   },
   "outputs": [],
   "source": [
    "# import copy\n",
    "# from sklearn.preprocessing import LabelEncoder\n",
    "#\n",
    "# sub_df_encoded = copy.deepcopy(subset_final)\n",
    "# sub_df_encoded.loc[:,['Artist Display Name', 'Object End Date' ,'AccessionYear','lastTransfer', 'agentsTransfer']] = sub_df_encoded.loc[:,['Artist Display Name', 'Object End Date' ,'AccessionYear', 'lastTransfer', 'agentsTransfer']].apply(LabelEncoder().fit_transform)\n",
    "#\n",
    "# sns.pairplot(sub_df_encoded)  #pairplot\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "8a52d574",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "9b9c2308",
   "metadata": {},
   "source": [
    "# Welcome To The Notebook\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97f087ce",
   "metadata": {},
   "source": [
    "## TASK 1\n",
    "Importing modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "f0065b7a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import datetime , calendar\n",
    "import folium"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bfdc9044",
   "metadata": {},
   "source": [
    "Importing our data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b058891",
   "metadata": {},
   "outputs": [],
   "source": [
    "#final_df = pd.read_csv('D:\\\\PycharmProjects\\\\infoviz\\\\data_management\\\\draftIntegrated.csv')\n",
    "final_df = pd.read_csv('E:\\\\GitHub\\\\infoviz\\\\data_management\\\\draftIntegrated.csv')\n",
    "#final_df.info()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "74e2cdaf",
   "metadata": {},
   "source": [
    "## TASK 2\n",
    "### Data Preprocessing \n",
    "Let's extract starting and ending points  <br>\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "461e2de4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['The Metropolitan Museum of Art',\n",
       " 'Collezione H.G. Sperling',\n",
       " 'Kleinberger Galleries',\n",
       " 'Collezione O. Wertheimer']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.receivers.iloc[2].split('; ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aae5d11d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'The Metropolitan Museum of Art; Collezione G. Donaldson'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.receivers.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "064ef387",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aligh\\AppData\\Local\\Temp\\ipykernel_1128\\427246154.py:3: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final_df.receivers.iloc[i]=final_df.receivers.iloc[i].split('; ')\n"
     ]
    }
   ],
   "source": [
    "# df_final.shape[0]\n",
    "for i in range(len(final_df)):\n",
    "    final_df.receivers.iloc[i]=final_df.receivers.iloc[i].split('; ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a4eb7224",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"Asta Christie's\""
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.receivers.iloc[3][-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c8bcad6b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#ext_starting_point = lambda list_ : list_[0]\n",
    "#ext_ending_point = lambda list_ : list_[-1]\n",
    "#final_df[\"receivers_mid\"] = final_df.receivers.apply(ext_starting_point)\n",
    "#final_df[\"surrenders_mid\"] = final_df.receivers.apply(ext_ending_point)\n",
    "\n",
    "#final_df.head()"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "780d1a8b",
   "metadata": {},
   "source": [
    "go through each and convert each string to list..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "26e68488",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['The Metropolitan Museum of Art',\n",
       " 'Collezione H.G. Sperling',\n",
       " 'Kleinberger Galleries',\n",
       " 'Collezione O. Wertheimer']"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "final_df.receivers.iloc[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1a4be763",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df = pd.DataFrame(columns=['R','S'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "8b6508bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# from itertools import cycle\n",
    "\n",
    "# i=0\n",
    "# rec=[]\n",
    "# sur=[]\n",
    "# while (i < len(final_df)):\n",
    "#     # for j in range(len(final_df.receivers.iloc[i])):\n",
    "#         # print(final_df.receivers.iloc[j])\n",
    "#         for idx, elem in enumerate(final_df.receivers.iloc[i]):\n",
    "#             thiselem = elem\n",
    "#             # df['R'][idx]=thiselem\n",
    "#             rec.append(thiselem)\n",
    "#             nextelem = final_df.receivers.iloc[i][(idx + 1) % len(final_df.receivers.iloc[i])]\n",
    "#             # df['S'][idx]=nextelem\n",
    "#             sur.append(nextelem)\n",
    "#             # if len(final_df.receivers.iloc[j]) == 1:\n",
    "#             #     df['R']=final_df.receivers.iloc[j][k]\n",
    "#             #     df['S']=final_df.receivers.iloc[j][k]\n",
    "#             # else: \n",
    "#             #     h=0\n",
    "#             #     while (h < len(final_df.receivers.iloc[j])-1):\n",
    "#             #         df['R']=final_df.receivers.iloc[j][h]\n",
    "#             #         df['S']=final_df.receivers.iloc[j][h+1]\n",
    "#             #         h+=1\n",
    "                \n",
    "#         i+=1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d8beedcb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df['R']=rec\n",
    "# df['S']=sur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "a2aa6afd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# # df2=df.drop_duplicates(keep='first')\n",
    "# df2 = df.query(\"R != S\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6835610c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df2=df2.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "da1df0e7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df2=df2[['R','S']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "08126657",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\aligh\\AppData\\Local\\Temp\\ipykernel_1128\\4081429668.py:2: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  final_df.surrenders.iloc[i]=final_df.surrenders.iloc[i].split('; ')\n"
     ]
    }
   ],
   "source": [
    "for i in range(len(final_df)):\n",
    "    final_df.surrenders.iloc[i]=final_df.surrenders.iloc[i].split('; ')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0eb00e62",
   "metadata": {},
   "outputs": [],
   "source": [
    "# i=0\n",
    "# rec2=[]\n",
    "# sur2=[]\n",
    "# while (i < len(final_df)):\n",
    "#     # for j in range(len(final_df.receivers.iloc[i])):\n",
    "#         # print(final_df.receivers.iloc[j])\n",
    "#         for idx, elem in enumerate(final_df.surrenders.iloc[i]):\n",
    "#             thiselem = elem\n",
    "#             # df['R'][idx]=thiselem\n",
    "#             rec2.append(thiselem)\n",
    "#             nextelem = final_df.surrenders.iloc[i][(idx + 1) % len(final_df.surrenders.iloc[i])]\n",
    "#             # df['S'][idx]=nextelem\n",
    "#             sur2.append(nextelem)\n",
    "#             # if len(final_df.receivers.iloc[j]) == 1:\n",
    "#             #     df['R']=final_df.receivers.iloc[j][k]\n",
    "#             #     df['S']=final_df.receivers.iloc[j][k]\n",
    "#             # else: \n",
    "#             #     h=0\n",
    "#             #     while (h < len(final_df.receivers.iloc[j])-1):\n",
    "#             #         df['R']=final_df.receivers.iloc[j][h]\n",
    "#             #         df['S']=final_df.receivers.iloc[j][h+1]\n",
    "#             #         h+=1\n",
    "                \n",
    "#         i+=1\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "6f80d63a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# only_sur=[]\n",
    "# i=0\n",
    "# while (i < len(final_df)):\n",
    "#     for idx, elem in enumerate(final_df.surrenders.iloc[i]):\n",
    "#         thiselem = elem\n",
    "#         only_sur.append(elem)\n",
    "        \n",
    "#     i+=1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "0c0b8556",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{\"Asta Sotheby's\": 3,\n",
       " 'Ashburnham Place, collezione Ashburnham': 2,\n",
       " 'Collezione B. Altman': 2,\n",
       " 'Collezione H.G. Sperling': 2,\n",
       " 'Kleinberger Galleries': 2,\n",
       " 'Collezione O. Wertheimer': 1,\n",
       " 'Château de Grange Blanche, collezione Chalandon': 1,\n",
       " \"Asta Christie's\": 4,\n",
       " 'Harewood House, collezione Earl of Harewood': 1,\n",
       " 'P. Corsini': 2,\n",
       " 'Collezione S. Brunswick': 1,\n",
       " 'Hammer Galleries': 1,\n",
       " 'Chiesa del SS. Nome di Gesù': 1,\n",
       " 'Collezione J. Pierpont Morgan': 2,\n",
       " 'Collezioni reali': 1,\n",
       " 'Collezione Colonna': 1,\n",
       " 'Convento di S. Antonio da Padova': 1,\n",
       " 'Collezione G. e F. Blumenthal': 1,\n",
       " 'Collezione J.H. Harding': 1,\n",
       " 'Collezione J.E. Taylor': 1,\n",
       " 'Collezione J.S. Bache': 3,\n",
       " 'Knoedler and Co.': 1,\n",
       " 'E. Volpi': 1,\n",
       " 'Collezione Fassati': 1,\n",
       " 'Collezione Stillman': 1,\n",
       " 'Asta Galerie Georges Petit': 2,\n",
       " 'Collezione B. Crespi': 2,\n",
       " 'Collezione Linsky': 1,\n",
       " 'Dowdeswell & Dowdeswell': 1,\n",
       " 'Collezione colonnello Sacchetti': 1,\n",
       " \"Oratorio di S. Maria Maddalena all'Isola\": 1,\n",
       " 'Mercato antiquario': 1,\n",
       " 'Collezione Mr. e Mrs. C.B. Wrightsman': 1,\n",
       " 'Collezione Mrs. C. Segal': 1,\n",
       " 'Morandotti': 1,\n",
       " 'Duveen Brothers, Inc.': 3,\n",
       " 'F. Mont': 1,\n",
       " 'Galleria Fleischmann': 1,\n",
       " 'Chatsworth House, collezione duca del Devonshire': 1,\n",
       " 'Collezione Friedsam': 1,\n",
       " 'Collezione Dillon': 1,\n",
       " \"Collezione Chaix-d'Est Anges\": 1,\n",
       " 'Collezione R. Lehman': 1,\n",
       " \"Agnew's\": 1,\n",
       " 'Collezione O. Huldschinsky': 1,\n",
       " 'C. Sedelmeyer': 1,\n",
       " 'Collezione M. Barberini Colonna di Sciarra': 1,\n",
       " 'Collezione Leuchtenberg': 1,\n",
       " 'Matthiesen': 1,\n",
       " 'E. Sestieri': 1,\n",
       " 'Collezione Malanca': 1,\n",
       " 'Collezione G.P. Campana': 1,\n",
       " 'Collezione D. Fioramonte': 1,\n",
       " 'Villa Stati Mattei': 1}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dic_sur=dict()\n",
    "for index, row in final_df.iterrows():\n",
    "    for elem in row[\"surrenders\"]:\n",
    "        if elem not in dic_sur:\n",
    "            dic_sur[elem]=1\n",
    "        else:\n",
    "            dic_sur[elem]=dic_sur[elem]+1\n",
    "    \n",
    "    \n",
    "\n",
    "dic_sur"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "5229473a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Collezione O. Wertheimer': 1,\n",
       " 'Château de Grange Blanche, collezione Chalandon': 1,\n",
       " 'Harewood House, collezione Earl of Harewood': 1,\n",
       " 'Collezione S. Brunswick': 1,\n",
       " 'Hammer Galleries': 1,\n",
       " 'Chiesa del SS. Nome di Gesù': 1,\n",
       " 'Collezioni reali': 1,\n",
       " 'Collezione Colonna': 1,\n",
       " 'Convento di S. Antonio da Padova': 1,\n",
       " 'Collezione G. e F. Blumenthal': 1,\n",
       " 'Collezione J.H. Harding': 1,\n",
       " 'Collezione J.E. Taylor': 1,\n",
       " 'Knoedler and Co.': 1,\n",
       " 'E. Volpi': 1,\n",
       " 'Collezione Fassati': 1,\n",
       " 'Collezione Stillman': 1,\n",
       " 'Collezione Linsky': 1,\n",
       " 'Dowdeswell & Dowdeswell': 1,\n",
       " 'Collezione colonnello Sacchetti': 1,\n",
       " \"Oratorio di S. Maria Maddalena all'Isola\": 1,\n",
       " 'Mercato antiquario': 1,\n",
       " 'Collezione Mr. e Mrs. C.B. Wrightsman': 1,\n",
       " 'Collezione Mrs. C. Segal': 1,\n",
       " 'Morandotti': 1,\n",
       " 'F. Mont': 1,\n",
       " 'Galleria Fleischmann': 1,\n",
       " 'Chatsworth House, collezione duca del Devonshire': 1,\n",
       " 'Collezione Friedsam': 1,\n",
       " 'Collezione Dillon': 1,\n",
       " \"Collezione Chaix-d'Est Anges\": 1,\n",
       " 'Collezione R. Lehman': 1,\n",
       " \"Agnew's\": 1,\n",
       " 'Collezione O. Huldschinsky': 1,\n",
       " 'C. Sedelmeyer': 1,\n",
       " 'Collezione M. Barberini Colonna di Sciarra': 1,\n",
       " 'Collezione Leuchtenberg': 1,\n",
       " 'Matthiesen': 1,\n",
       " 'E. Sestieri': 1,\n",
       " 'Collezione Malanca': 1,\n",
       " 'Collezione G.P. Campana': 1,\n",
       " 'Collezione D. Fioramonte': 1,\n",
       " 'Villa Stati Mattei': 1,\n",
       " 'Ashburnham Place, collezione Ashburnham': 2,\n",
       " 'Collezione B. Altman': 2,\n",
       " 'Collezione H.G. Sperling': 2,\n",
       " 'Kleinberger Galleries': 2,\n",
       " 'P. Corsini': 2,\n",
       " 'Collezione J. Pierpont Morgan': 2,\n",
       " 'Asta Galerie Georges Petit': 2,\n",
       " 'Collezione B. Crespi': 2,\n",
       " \"Asta Sotheby's\": 3,\n",
       " 'Collezione J.S. Bache': 3,\n",
       " 'Duveen Brothers, Inc.': 3,\n",
       " \"Asta Christie's\": 4}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(sorted(dic_sur.items(), key=lambda item: item[1]))"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "5233fbc7",
   "metadata": {},
   "source": [
    "df_sur = pd.DataFrame(columns=['R','S'])\n",
    "df_sur['R']=rec2\n",
    "df_sur['S']=sur2\n",
    "df_sur = df_sur.query(\"R != S\")\n",
    "df4=df4.drop_duplicates(keep='first')\n",
    "df_sur=df_sur.reset_index()\n",
    "df_sur=df_sur[['R','S']].copy()\n",
    "\n",
    "df_sur_rec=pd.concat([df2, df_sur])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "e282e25e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asta Christie's</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asta Sotheby's</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Duveen Brothers, Inc.</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione J.S. Bache</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kleinberger Galleries</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       0\n",
       "Asta Christie's        4\n",
       "Asta Sotheby's         3\n",
       "Duveen Brothers, Inc.  3\n",
       "Collezione J.S. Bache  3\n",
       "Kleinberger Galleries  2"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_df=pd.DataFrame([dic_sur])\n",
    "dict_df=dict_df.T\n",
    "dict_df=dict_df.sort_values(0, ascending=False)\n",
    "dict_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "883674f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "#dict_df.drop(dict_df[dict_df > 2 ].index, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "c162690a",
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_df.rename(columns={0:'freq'}, inplace=True)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "3b511147",
   "metadata": {},
   "source": [
    "we are considering threshold more than 1 as hub in dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2d59a55b",
   "metadata": {},
   "outputs": [],
   "source": [
    "dict_df_freq=dict_df.query('freq > 1')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "c3ebc418",
   "metadata": {},
   "outputs": [],
   "source": [
    "# dict_df_freq.plot.bar(grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "70548065",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>freq</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Asta Christie's</th>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asta Sotheby's</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Duveen Brothers, Inc.</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione J.S. Bache</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kleinberger Galleries</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione H.G. Sperling</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione B. Altman</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ashburnham Place, collezione Ashburnham</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione B. Crespi</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asta Galerie Georges Petit</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Collezione J. Pierpont Morgan</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>P. Corsini</th>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                         freq\n",
       "Asta Christie's                             4\n",
       "Asta Sotheby's                              3\n",
       "Duveen Brothers, Inc.                       3\n",
       "Collezione J.S. Bache                       3\n",
       "Kleinberger Galleries                       2\n",
       "Collezione H.G. Sperling                    2\n",
       "Collezione B. Altman                        2\n",
       "Ashburnham Place, collezione Ashburnham     2\n",
       "Collezione B. Crespi                        2\n",
       "Asta Galerie Georges Petit                  2\n",
       "Collezione J. Pierpont Morgan               2\n",
       "P. Corsini                                  2"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_df_freq"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "6a1717dd",
   "metadata": {},
   "outputs": [],
   "source": [
    "freq_lst=[]\n",
    "freq_val=[]\n",
    "for elem in dic_sur:\n",
    "    if dic_sur[elem]>1:\n",
    "        freq_lst.append(elem)\n",
    "        freq_val.append(dic_sur[elem])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b4667c8b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[\"Asta Sotheby's\",\n",
       " 'Ashburnham Place, collezione Ashburnham',\n",
       " 'Collezione B. Altman',\n",
       " 'Collezione H.G. Sperling',\n",
       " 'Kleinberger Galleries',\n",
       " \"Asta Christie's\",\n",
       " 'P. Corsini',\n",
       " 'Collezione J. Pierpont Morgan',\n",
       " 'Collezione J.S. Bache',\n",
       " 'Asta Galerie Georges Petit',\n",
       " 'Collezione B. Crespi',\n",
       " 'Duveen Brothers, Inc.']"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "freq_lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "0004351b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "bar_labels = ['red', 'blue', '_red', 'orange']\n",
    "bar_colors = ['tab:blue']\n",
    "\n",
    "ax.bar(freq_lst, freq_val, color=bar_colors)\n",
    "\n",
    "ax.set_ylabel('')\n",
    "ax.set_title('')\n",
    "#ax.legend(title='')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "2db52f11",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df_sur_rec.duplicated().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "eb0fd1ec",
   "metadata": {},
   "outputs": [],
   "source": [
    "# df5=df5.drop_duplicates(keep='first')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "9fe5aabd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_sur_rec_final=df_sur_rec.reset_index()\n",
    "#df_sur_rec_final=df_sur_rec_final[['R','S']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "3d5be871",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_sur_rec_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "f3091f92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Rudolph and Lentilhon G. von Fluegge Foundation Inc.': {'Jacopo Amigoni': 1},\n",
       " 'Rogers Fund': {'Andrea di Bartolo': 1,\n",
       "  'Zanobi Strozzi': 1,\n",
       "  'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1,\n",
       "  'Giovanni Baronzio': 1,\n",
       "  'Fra Bartolomeo (Bartolomeo di Paolo del Fattorino)': 1,\n",
       "  'Pompeo Batoni': 2,\n",
       "  'Giovanni Bellini': 1,\n",
       "  'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Bronzino': 1,\n",
       "  'Caravaggio (Michelangelo Merisi)': 1,\n",
       "  'Fra Carnevale (Bartolomeo di Giovanni Corradini)': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Bernardo Cavallino': 1,\n",
       "  'Cima da Conegliano (Giovanni Battista Cima)': 1,\n",
       "  'Giovanni di Bartolommeo Cristiani': 1,\n",
       "  'Carlo Crivelli': 2,\n",
       "  'Gaspare Diziani': 1,\n",
       "  'Defendente Ferrari': 1,\n",
       "  'Domenico Fetti': 2,\n",
       "  'Bernardino Fungai': 1,\n",
       "  'Taddeo Gaddi': 1,\n",
       "  'Michele Giambono (Michele Giovanni Bono)': 1,\n",
       "  'Giovanni da Milano': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Benozzo Gozzoli (Benozzo di Lese di Sandro)': 4,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Francesco Guardi': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Italian (Lombard) Painter': 1,\n",
       "  'Italian (Sienese) Painter': 1,\n",
       "  'Franceschino Zavattari': 1,\n",
       "  'Fra Filippo Lippi': 2,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  \"Lorenzo di Credi (Lorenzo d'Andrea d'Oderigo)\": 1,\n",
       "  'Lorenzo Lotto': 1,\n",
       "  'Marco del Buono Giamberti|Apollonio di Giovanni di Tomaso': 1,\n",
       "  'Master of 1416': 2,\n",
       "  'Master of Charles of Durazzo': 1,\n",
       "  'Master of Flora': 1,\n",
       "  'Master of Lecceto': 1,\n",
       "  'Master of Monte Oliveto': 1,\n",
       "  'Bartolomeo Montagna (Bartolomeo Cincani)': 1,\n",
       "  'Moretto da Brescia (Alessandro Bonvicino)': 2,\n",
       "  \"Neroccio de' Landi\": 1,\n",
       "  'Niccolò di Pietro': 1,\n",
       "  'Pietro di Domenico da Montepulciano': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Sebastiano Ricci': 1,\n",
       "  'Giovanni Francesco Romanelli': 1,\n",
       "  'Salvator Rosa': 1,\n",
       "  'Francesco Solimena': 2,\n",
       "  'Giovanni Battista Tiepolo': 7,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Gaetano Gandolfi': 1,\n",
       "  'Benedetto Luti': 1},\n",
       " 'Helen O. Brice': {'Giacomo Andreoli': 1},\n",
       " 'Lucy G. Moses': {'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Taddeo di Bartolo': 1},\n",
       " 'Benjamin Altman': {'Fra Angelico (Guido di Pietro)': 1,\n",
       "  \"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Botticelli (Alessandro di Mariano Filipepi)': 1,\n",
       "  'Francesco Francia': 1,\n",
       "  'Domenico Ghirlandaio': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Bartolomeo Montagna (Bartolomeo Cincani)': 1,\n",
       "  \"Raffaellino del Garbo (also known as Raffaelle de' Capponi and Raffaelle de' Carli)\": 1,\n",
       "  'Titian (Tiziano Vecellio)': 2,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Andrea del Verrocchio': 1},\n",
       " 'May Dougherty King': {'Zanobi Strozzi': 1},\n",
       " 'The Friedsam Collection': {\"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Ercole Banci': 1,\n",
       "  \"Biagio d'Antonio\": 2,\n",
       "  \"Bonifacio de' Pitati (Bonifacio Veronese)\": 1,\n",
       "  'Bernardo Daddi': 1,\n",
       "  'Italian Painter': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Davide Ghirlandaio (David Bigordi)': 1,\n",
       "  'Ridolfo Ghirlandaio': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 3,\n",
       "  'Italian (Marchigian?) Painter': 1,\n",
       "  'North Italian Painter': 2,\n",
       "  'Italian (Umbrian) Painter': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master called Pseudo-Pier Francesco Fiorentino': 1,\n",
       "  'Marco di Paolo Veneziano': 1,\n",
       "  'Cosimo Rosselli': 1,\n",
       "  'Franciabigio (Francesco di Cristofano)': 1,\n",
       "  'Andrea Solario': 1,\n",
       "  'Titian': 1,\n",
       "  'Giovanni di Francesco del Cervelliera': 1,\n",
       "  'Lippo Vanni (Lippo Vanni di Giovanni)': 1},\n",
       " 'Michael Friedsam': {\"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Ercole Banci': 1,\n",
       "  \"Biagio d'Antonio\": 2,\n",
       "  \"Bonifacio de' Pitati (Bonifacio Veronese)\": 1,\n",
       "  'Bernardo Daddi': 1,\n",
       "  'Italian Painter': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Davide Ghirlandaio (David Bigordi)': 1,\n",
       "  'Ridolfo Ghirlandaio': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 3,\n",
       "  'Italian (Marchigian?) Painter': 1,\n",
       "  'North Italian Painter': 2,\n",
       "  'Italian (Umbrian) Painter': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master called Pseudo-Pier Francesco Fiorentino': 1,\n",
       "  'Marco di Paolo Veneziano': 1,\n",
       "  'Cosimo Rosselli': 1,\n",
       "  'Franciabigio (Francesco di Cristofano)': 1,\n",
       "  'Andrea Solario': 1,\n",
       "  'Titian': 1,\n",
       "  'Giovanni di Francesco del Cervelliera': 1,\n",
       "  'Lippo Vanni (Lippo Vanni di Giovanni)': 1},\n",
       " 'George Blumenthal': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1,\n",
       "  'Pompeo Batoni': 1,\n",
       "  'Bernardino da Genoa': 1,\n",
       "  'Cima da Conegliano (Giovanni Battista Cima)': 1,\n",
       "  'Vittore Crivelli': 1,\n",
       "  'Bernardo Daddi': 3,\n",
       "  'Francesco di Giorgio Martini': 1,\n",
       "  'Francesco Francia': 1,\n",
       "  'Agnolo Gaddi': 2,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 2,\n",
       "  'Master of the Magdalen': 2,\n",
       "  'Ambrogio Lorenzetti': 1,\n",
       "  'Luca di Tommè di Nuto': 1,\n",
       "  'Master of Monte Oliveto': 1,\n",
       "  'Niccolò di Buonaccorso': 1,\n",
       "  'Paolo di Giovanni Fei': 1,\n",
       "  'Mirabello Cavalori': 1,\n",
       "  'Priamo della Quercia (Priamo del Pietro)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Segna di Buonaventura': 1,\n",
       "  'Jacopo di Arcangelo (called Jacopo del Sellaio)': 1,\n",
       "  'Simone Martini': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Ambrogio Bevilacqua': 1,\n",
       "  'Ugolino da Siena': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1},\n",
       " 'Gwynne Andrews Fund': {\"Bachiacca (Francesco d'Ubertino Verdi)\": 1,\n",
       "  'Bartolomeo di Tommaso': 2,\n",
       "  'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Fra Carnevale (Bartolomeo di Giovanni Corradini)': 1,\n",
       "  'Annibale Carracci': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Cigoli (Ludovico Cardi)': 1,\n",
       "  'Saturnino Gatti': 1,\n",
       "  'Niccolò di Pietro Gerini': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Liberale da Verona': 1,\n",
       "  'Andrea di Lione': 1,\n",
       "  'Lorenzo Monaco (Piero di Giovanni)': 4,\n",
       "  'Giovanni Paolo Panini': 2,\n",
       "  'Girolamo Mazzola Bedoli': 1,\n",
       "  'Baldassare Tommaso Peruzzi': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Sebastiano Ricci': 1,\n",
       "  'Andrea Sacchi': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Gaspare Traversi': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  'Benedetto Luti': 2,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Orazio Borgianni': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Francesco Trevisani': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'The Jack and Belle Linsky Collection': {\"Bachiacca (Francesco d'Ubertino Verdi)\": 2,\n",
       "  'Fra Bartolomeo (Bartolomeo di Paolo del Fattorino)': 1,\n",
       "  'Bernardino dei Conti': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Vittore Crivelli': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Francesco Guardi': 2,\n",
       "  'Italian (Pisan) Painter': 1,\n",
       "  'Alessandro Magnasco': 1,\n",
       "  'Master of the Annunciation to the Shepherds': 1,\n",
       "  'Pseudo-Palmeruccio': 1,\n",
       "  \"Andrea del Sarto (Andrea d'Agnolo)\": 1},\n",
       " 'Samuel H. Kress Foundation': {\"Donato de' Bardi\": 1,\n",
       "  \"Neroccio de' Landi\": 1,\n",
       "  'Antonio Vivarini': 1},\n",
       " 'Michael Dreicer': {'Bartolomeo degli Erri': 1,\n",
       "  \"Piero di Cosimo (Piero di Lorenzo di Piero d'Antonio)\": 1,\n",
       "  'Pietro di Francesco Orioli': 1},\n",
       " 'Fletcher Fund': {'Bartolomeo degli Erri': 1,\n",
       "  'Bergognone (Ambrogio di Stefano da Fossano)': 2,\n",
       "  'Giuliano di Piero di Simone Bugiardini': 1,\n",
       "  'Girolamo dai Libri': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Guido Cagnacci': 1},\n",
       " 'Daniel Wildenstein': {'Bartolomeo di Giovanni': 1},\n",
       " 'The Charles Engelhard Foundation': {'Pompeo Batoni': 1},\n",
       " 'Robert Lehman Foundation Inc.': {'Pompeo Batoni': 1},\n",
       " 'Mrs. Haebler Frantz': {'Pompeo Batoni': 1},\n",
       " 'April R. Axton': {'Pompeo Batoni': 1},\n",
       " 'L. H. P. Klotz': {'Pompeo Batoni': 1},\n",
       " 'David Mortimer': {'Pompeo Batoni': 1},\n",
       " 'Mr. and Mrs. Charles Wrightsman': {'Pompeo Batoni': 1,\n",
       "  'Paris Bordon': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Luca Giordano': 1,\n",
       "  'Guercino (Giovanni Francesco Barbieri)': 2,\n",
       "  'Guido Reni': 1,\n",
       "  'Giovanni Battista Tiepolo': 3,\n",
       "  'Giovanni Domenico Tiepolo': 1},\n",
       " 'J. Pierpont Morgan': {'Pompeo Batoni': 1,\n",
       "  'Giovanni Bellini': 1,\n",
       "  \"Biagio d'Antonio\": 1,\n",
       "  'Carlo Innocenzo Carloni': 1,\n",
       "  'Francesco Casanova': 1,\n",
       "  'Garofalo (Benvenuto Tisi da Garofalo)': 2,\n",
       "  'Pietro Longhi (Pietro Falca)': 1,\n",
       "  'Jacopo di Arcangelo (called Jacopo del Sellaio)': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Raphael (Raffaello Sanzio or Santi)': 1,\n",
       "  'Sebastiano del Piombo (Sebastiano Luciani)': 1,\n",
       "  'Tommaso Fiorentino (Tommaso di Stefano Lunetti)': 1,\n",
       "  'Guido Cagnacci': 1},\n",
       " 'Millie Bruhl Fredrick': {'Pompeo Batoni': 1, 'Lavinia Fontana': 1},\n",
       " 'Mary Clark Thompson': {'Pompeo Batoni': 1},\n",
       " 'Theodore M. Davis Collection': {'Giovanni Bellini': 1,\n",
       "  'Boccaccio Boccaccino': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Vincenzo Foppa': 1,\n",
       "  'Gentile da Fabriano (Gentile di Niccolò di Giovanni di Massio)': 1,\n",
       "  'Martino di Bartolommeo di Biagio': 4,\n",
       "  'Master of the Lanckoronski Annunciation': 1,\n",
       "  'Giovanni Battista Moroni': 2,\n",
       "  \"L'Ortolano (Giovanni Battista Benvenuti)\": 1,\n",
       "  'Carlo Saraceni': 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Francesco Zaganelli (Francesco di Bosio)': 1},\n",
       " 'Theodore M. Davis': {'Giovanni Bellini': 1,\n",
       "  'Boccaccio Boccaccino': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Vincenzo Foppa': 1,\n",
       "  'Gentile da Fabriano (Gentile di Niccolò di Giovanni di Massio)': 1,\n",
       "  'Martino di Bartolommeo di Biagio': 4,\n",
       "  'Master of the Lanckoronski Annunciation': 1,\n",
       "  'Giovanni Battista Moroni': 2,\n",
       "  \"L'Ortolano (Giovanni Battista Benvenuti)\": 1,\n",
       "  'Carlo Saraceni': 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Francesco Zaganelli (Francesco di Bosio)': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'The Jules Bache Collection': {'Giovanni Bellini': 2,\n",
       "  'Botticelli': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Girolamo da Cremona': 1,\n",
       "  'Jacometto (Jacometto Veneziano)': 1,\n",
       "  'Filippino Lippi': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master of the Castello Nativity': 1,\n",
       "  'Raphael': 1,\n",
       "  \"Luca Signorelli (Luca d'Egidio di Luca di Ventura)\": 1,\n",
       "  'Titian (Tiziano Vecellio)': 2,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1},\n",
       " 'Irma N. Straus': {'Jacopo Bellini': 1,\n",
       "  'Berlinghiero': 1,\n",
       "  'Master of the Magdalen': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Pacino di Bonaguida': 1,\n",
       "  'Sano di Pietro (Ansano di Pietro di Mencio)': 2},\n",
       " 'Wrightsman Fund': {'Bernardo Bellotto': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Pier Francesco Mola': 1,\n",
       "  'Marcantonio Franceschini': 1},\n",
       " 'Joseph Pulitzer': {'Bernardo Bellotto': 1,\n",
       "  'Giovanni Battista Moroni': 1,\n",
       "  'Luca Signorelli': 1,\n",
       "  'Duccio di Buoninsegna': 1},\n",
       " 'Coudert Brothers': {'Bicci di Lorenzo': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Guariento di Arpo': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Francis Kleinberger': {'Bicci di Lorenzo': 1},\n",
       " 'Catharine Lorillard Wolfe Collection': {'Giovanni Boldini': 1},\n",
       " 'Catharine Lorillard Wolfe': {'Giovanni Boldini': 1},\n",
       " 'Mrs. Edward C. Moën': {'Giovanni Boldini': 1},\n",
       " 'Consuelo Vanderbilt Balsan': {'Giovanni Boldini': 1},\n",
       " 'Martha T. Fiske Collord': {'Giovanni Boldini': 1, 'Alberto Pasini': 1},\n",
       " 'Mr. and Mrs. Edwin L. Weisl Jr.': {\"Bonifacio de' Pitati (Bonifacio Veronese)\": 1},\n",
       " 'Humanities Fund Inc.': {'Domenico Bossi': 1},\n",
       " 'Mr. and Mrs. Edward A. Friedman': {'Giuseppe Bottani': 1},\n",
       " 'John Stewart Kennedy Fund': {'Botticelli (Alessandro di Mariano Filipepi)': 1,\n",
       "  'Bramantino (Bartolomeo Suardi)': 1,\n",
       "  'Vittore Carpaccio': 1,\n",
       "  'Correggio (Antonio Allegri)': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Giotto di Bondone': 1,\n",
       "  'Filippino Lippi': 1,\n",
       "  'Moretto da Brescia (Alessandro Bonvicino)': 1,\n",
       "  'Giovanni Domenico Tiepolo': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'H. O. Havemeyer Collection': {'Botticelli': 1,\n",
       "  'Bronzino (Agnolo di Cosimo di Mariano)': 1,\n",
       "  'Francesco Montemezzano': 1,\n",
       "  'Gaspare Traversi|Goya': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'Mrs. H. O. Havemeyer': {'Botticelli': 1,\n",
       "  'Bronzino (Agnolo di Cosimo di Mariano)': 1,\n",
       "  'Francesco Montemezzano': 1,\n",
       "  'Gaspare Traversi|Goya': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'George R. Hann': {'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Francesco Francia': 1},\n",
       " 'Harris Brisbane Dick Fund': {'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Segna di Buonaventura': 3,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Duccio di Buoninsegna': 1},\n",
       " 'Edward Fowles': {'Giuliano di Piero di Simone Bugiardini': 1,\n",
       "  'Italian (Florentine or Sienese) Painter': 1,\n",
       "  'North Italian Painter': 1,\n",
       "  'Paolo Veneziano': 1},\n",
       " 'Paul Ganz': {'Francesco Cairo': 1},\n",
       " 'Edith Neuman de Végvár': {'Bernardino Campi': 1},\n",
       " 'Mrs. Charles Wrightsman': {'Canaletto (Giovanni Antonio Canal)': 7,\n",
       "  'Lorenzo Lotto': 1,\n",
       "  'Baldassare Tommaso Peruzzi': 1,\n",
       "  'Francesco Guardi': 2,\n",
       "  'Giovanni Battista Tiepolo': 2,\n",
       "  'Giovanni Domenico Tiepolo': 1},\n",
       " 'The Collection of Giovanni P. Morosini': {'F. Carbonara': 1,\n",
       "  'Master of Charles of Durazzo': 1},\n",
       " 'Collis P. Huntington': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Gigola': 1,\n",
       "  'Alberto Pasini': 1},\n",
       " 'Ogden Mills': {'Annibale Carracci': 1},\n",
       " 'Miss Adelaide Milton de Groot (1876-1967)': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Piazzetta': 1},\n",
       " 'Dr. and Mrs. Manuel Porter and sons': {'Annibale Carracci': 1},\n",
       " 'Mrs. Charles S. Payson': {'Catena (Vincenzo di Biagio)': 1},\n",
       " 'Jean Fowles': {'Cenni di Francesco di Ser Cenni': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Maria DeWitt Jesup Fund': {'Giacomo Ceruti': 1,\n",
       "  'Dosso Dossi (Giovanni de Lutero)': 1,\n",
       "  \"Andrea del Sarto (Andrea d'Agnolo)\": 1},\n",
       " 'Mario Modestini': {'Giuseppe Bartolomeo Chiari': 1},\n",
       " 'Frederick C. Hewitt Fund': {'Guidoccio di Giovanni Cozzarelli': 1,\n",
       "  'Pietro Longhi (Pietro Falca)': 2,\n",
       "  'Perugino (Pietro di Cristoforo Vannucci)': 1},\n",
       " 'Harriet H. Jonas': {'Bernardo Daddi': 1},\n",
       " 'Maitland F. Griggs Collection': {'Bernardo Daddi': 2,\n",
       "  'Liberale da Verona': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Maso di Banco': 1,\n",
       "  'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Michelino da Besozzo (Michelino de Mulinari)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Simone Martini': 4},\n",
       " 'Maitland F. Griggs': {'Bernardo Daddi': 2,\n",
       "  'Liberale da Verona': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Maso di Banco': 1,\n",
       "  'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Michelino da Besozzo (Michelino de Mulinari)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Simone Martini': 4},\n",
       " 'Mr. and Mrs. Ralph Friedman': {'Cesare Dandini': 1},\n",
       " 'Robert Lehman': {'Giovanni di Tano Fei': 1,\n",
       "  'Lippo di Benivieni': 1,\n",
       "  'Master of Varlungo': 1,\n",
       "  'Matteo di Giovanni di Bartolo': 1,\n",
       "  'Jacopo Palma the Younger': 1,\n",
       "  'Bartolomeo Vivarini': 1},\n",
       " 'Marquand Fund': {'Francesco di Giorgio Martini': 1,\n",
       "  'Goodhart Ducciesque Master': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Lorenzo Monaco (Piero di Giovanni)': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Giovanni Gerolamo Savoldo': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'D.C. Samuel H. Kress Collection': {'Francesco di Giorgio Martini': 1},\n",
       " 'Lewis C. Ledyard III': {'Francesco Francia': 1},\n",
       " 'Mrs. Victor Onet': {'Francesco Francia': 1},\n",
       " 'Mrs. T. F. Turner': {'Francesco Francia': 1},\n",
       " 'Elinor Dorrance Ingersoll': {'Artemisia Gentileschi': 1},\n",
       " 'Francis L. Leland Fund': {'Davide Ghirlandaio (David Bigordi)': 3,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1},\n",
       " 'Cornelius Vanderbilt': {'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Aurelio Lomi': 1},\n",
       " 'Mrs. W. Murray Crane': {'Francescuccio Ghissi (Francesco di Cecco Ghissi)': 3,\n",
       "  'Italian (Florentine) Painter': 1,\n",
       "  'Pietro da Rimini': 1},\n",
       " 'Mr. and Mrs. Frank E. Richardson': {'Giampietrino (Giovanni Pietro Rizzoli)': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Mr. and Mrs. Harold Morton Landon': {'Luca Giordano': 1},\n",
       " 'The Vincent Astor Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Annette de la Renta': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Drue Heinz Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'The Annenberg Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Ludovico Carracci': 1},\n",
       " 'the children of Mrs. Harry Payne Whitney': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Mr. and Mrs. Joshua Logan': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Harry G. Sperling': {'Benozzo Gozzoli (Benozzo di Lese di Sandro)': 1,\n",
       "  'Jacopino del Conte': 1,\n",
       "  'Gaspare Traversi': 1},\n",
       " 'Dodge Fund': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Duccio di Buoninsegna': 1},\n",
       " 'Ella Morris de Peyster': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1},\n",
       " 'Mrs. Donald Oenslager': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1},\n",
       " 'Julia A. Berwind': {'Francesco Guardi': 2},\n",
       " 'Adele L. Lehman': {'Francesco Guardi': 1,\n",
       "  'Master G.Z. (possibly Michele dai Carri, Italian, Ferrara, active by 1405–died 1441 Ferrara)': 1,\n",
       "  'Sano di Pietro (Ansano di Pietro di Mencio)': 1,\n",
       "  'Segna di Buonaventura': 1,\n",
       "  'Antonio Vivarini': 1,\n",
       "  'Bartolomeo Vivarini': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Mary Stillman Harkness': {'Francesco Guardi': 1,\n",
       "  'Pesellino (Francesco di Stefano)': 1},\n",
       " 'R. A. Farnsworth': {'Domenico Guidobono': 1},\n",
       " 'Victor Wilbour Memorial Fund': {'Domenico Guidobono': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Guido Reni': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'The Alfred N. Punnett Endowment Fund': {'Domenico Guidobono': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Charles B. Curtis Fund': {'Domenico Guidobono': 1,\n",
       "  'Salvator Rosa': 1,\n",
       "  'Ludovico Carracci': 1},\n",
       " 'James L. Loeb': {\"Nicola di Maestro Antonio d'Ancona\": 1},\n",
       " 'Georges Brauer': {'Italian (Florentine) Painter': 1},\n",
       " 'Colonel C. Michael Paul': {'Italian (Florentine) Painter': 1},\n",
       " 'Katherine S. Dreier': {'Italian (Florentine) Painter': 1},\n",
       " 'Marquand Collection': {'Italian (Lombard) Painter': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  \"Marco d'Oggiono\": 1},\n",
       " 'Henry G. Marquand': {'Italian (Lombard) Painter': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  \"Marco d'Oggiono\": 1},\n",
       " 'Mary Cushing Fosburgh': {'Italian (Umbrian) Painter': 1},\n",
       " 'Rodman Wanamaker': {'Italian (Umbrian) Painter': 1},\n",
       " 'Clarence Dillon': {'Daniele da Volterra': 1},\n",
       " 'Alice Bradford Woolsey': {'Antonio Joli': 1},\n",
       " 'Eric Seiler': {'Jacopo Ligozzi': 1},\n",
       " 'Darcy Bradbury': {'Jacopo Ligozzi': 1},\n",
       " 'Edward A. and Karen S. W. Friedman': {'Jacopo Ligozzi': 1},\n",
       " 'Donald S. Klopfer': {'Filippino Lippi': 1},\n",
       " 'Samuel H. Kress': {'Pietro Longhi (Pietro Falca)': 1,\n",
       "  'Master of the Orcagnesque Misericordia': 1},\n",
       " 'Richard De Wolfe Brixey': {\"Lorenzo di Credi (Lorenzo d'Andrea d'Oderigo)\": 1},\n",
       " 'G. Louise Robinson': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Mrs. Ralph J. Hines': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Mabel Choate': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Paul Peralta Ramos': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Administration Fund': {'Luca di Tommè di Nuto': 1},\n",
       " 'Katherine D. W. Glover': {'Alessandro Magnasco': 1},\n",
       " 'Kretschmar Fund': {'Giovanni Maldura': 1},\n",
       " 'Elizabeth U. Coles': {'Antonio Mancini': 1},\n",
       " 'Anonymous': {'Andrea Mantegna': 1,\n",
       "  'Scipione Pulzone (Il Gaetano)': 1,\n",
       "  'Girolamo Romanino': 1},\n",
       " 'Gloria Zicht': {'Luigi Marta': 1},\n",
       " 'The Jack and Belle Linsky Foundation': {'Master of the Orcagnesque Misericordia': 1,\n",
       "  'Perugino (Pietro di Cristoforo Vannucci)': 1},\n",
       " 'Mrs. Ridgely Hunt': {\"Neroccio de' Landi\": 1},\n",
       " 'Alice Borland Wilson': {'Bernardino Detti': 1},\n",
       " 'James S. Deely': {'Girolamo Mazzola Bedoli': 1},\n",
       " 'Mr. and Mrs. Eugene Victor Thaw': {'Giovanni Antonio Pellegrini': 1},\n",
       " 'Robert Gordon': {\"Piero di Cosimo (Piero di Lorenzo di Piero d'Antonio)\": 2},\n",
       " 'Edward S. Harkness': {'Piero del Pollaiuolo (Piero di Jacopo Benci)': 1,\n",
       "  'Cosimo Rosselli': 1},\n",
       " 'Helena W. Charlton': {'Mattia Preti (Il Cavalier Calabrese)': 1},\n",
       " 'Enid A. Haupt': {'Giulio Cesare Procaccini': 1, 'Andrea Sacchi': 1},\n",
       " 'Jane L. Melville': {'Sebastiano Ricci': 1},\n",
       " 'Mr. and Mrs. Piero Corsini': {'Sebastiano Ricci': 1},\n",
       " 'Mary L. Harrison': {'Salvator Rosa': 1},\n",
       " 'Mr. and Mrs. Nate B. Spingold': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Mary V. T. Eberstadt': {'Andrea Schiavone (Andrea Meldola)': 1},\n",
       " 'Josephine Bieber': {'Sebastiano del Piombo': 1},\n",
       " 'the Collection of James Stillman': {'Andrea Solario': 1},\n",
       " 'Dr. Ernest G. Stillman': {'Andrea Solario': 1},\n",
       " 'the family of Francis M. Bacon': {'Spinello Aretino (Spinello di Luca Spinelli)': 1},\n",
       " 'Edward W. Carter': {'Massimo Stanzione': 1},\n",
       " 'Mary Wetmore Shively': {'Bernardo Strozzi': 1},\n",
       " 'Eula M. Ganz': {'Pietro Testa': 1},\n",
       " 'Grace Rainey Rogers': {'Girolamo Mengozzi (called Colonna)|Giovanni Battista Tiepolo': 4,\n",
       "  'Giovanni Battista Tiepolo': 5,\n",
       "  'Giovanni Domenico Tiepolo': 4},\n",
       " 'Munsey Fund': {'Titian': 2},\n",
       " 'Bernard M. Baruch': {'Francesco Zuccarelli': 1},\n",
       " 'Asbjorn R. Lunde': {'Sodoma (Giovanni Antonio Bazzi)': 1,\n",
       "  'Bernardo Daddi': 1},\n",
       " 'Herman and Lila Shickman': {'Caravaggio (Michelangelo Merisi)': 1},\n",
       " 'Lila Acheson Wallace': {'Caravaggio (Michelangelo Merisi)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  'Federico Barocci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1},\n",
       " 'Lore Heinemann': {'Taddeo Gaddi': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 2,\n",
       "  'Francesco Guardi': 2,\n",
       "  'Giovanni Battista Tiepolo': 2,\n",
       "  'Paolo Uccello (Paolo di Dono)': 1},\n",
       " 'Jules Fisher': {'Santi di Tito': 1},\n",
       " 'Friends of European Paintings': {'Santi di Tito': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Ubaldo Gandolfi': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  'Giovanni Battista Gaulli (Il Baciccio)': 1},\n",
       " 'Dianne Modestini': {'Domenico Fetti': 1, 'Giovanni Battista Piazzetta': 1},\n",
       " 'Edwin L. Weisl Jr.': {'Annibale Carracci': 1},\n",
       " 'Mary Jane Harris': {'Scarsellino (Ippolito Scarsella)': 1},\n",
       " 'Francesca Rospigliosi': {'Bianca Boni': 1},\n",
       " 'Jon and Barbara Landau': {'Ludovico Carracci': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Mr. and Mrs. Mark Fisch': {'Ludovico Carracci': 2,\n",
       "  'Corrado Giaquinto': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Jacopo Bassano (Jacopo da Ponte)': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Pat and John Rosenwald': {'Ludovico Carracci': 1},\n",
       " 'Gwynne Andrews Funds': {'Ludovico Carracci': 1},\n",
       " 'Mortimer D. Sackler': {'Ludovico Carracci': 1},\n",
       " 'Theresa Sackler and Family Fund': {'Ludovico Carracci': 1},\n",
       " 'Mario and Dianne Modestini': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Nancy': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Carolina': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Isabelle Richardson': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'George Delacorte Fund': {'Rosalba Carriera': 1, 'Carlo Dolci': 1},\n",
       " '2002 Benefit Fund': {'Federico Barocci': 1},\n",
       " 'Richard L. Feigen': {'Carlo Saraceni': 1},\n",
       " 'Walter and Leonore Annenberg and The Annenberg Foundation': {'Duccio di Buoninsegna': 1},\n",
       " 'Louis V. Bell Fund': {'Duccio di Buoninsegna': 1},\n",
       " \"several members of The Chairman's Council\": {'Duccio di Buoninsegna': 1},\n",
       " 'Elaine L. Rosenberg': {'Duccio di Buoninsegna': 1},\n",
       " 'Stephenson Family Foundation': {'Duccio di Buoninsegna': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1},\n",
       " '2003 Benefit Fund': {'Duccio di Buoninsegna': 1},\n",
       " 'Lawrence and Julie Salander': {'Bruno Marzi': 1, 'Umberto Giunti': 1},\n",
       " 'Fabrizio Moretti': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Gaulli (Il Baciccio)': 1,\n",
       "  'Giacomo Ceruti': 1},\n",
       " 'Adam Williams': {'Annibale Carracci': 1},\n",
       " 'Melissa O. Aronson': {'Mattia Preti (Il Cavalier Calabrese)': 1},\n",
       " 'Walter and Leonore Annenberg Acquisitions Endowment Fund': {'Domenichino (Domenico Zampieri)': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'The Reed Foundation': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Elaine Rosenberg': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Edward J. Gallagher Jr.': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Museum Purchase Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Peter Tcherepnine': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'The Camille M. Lownds Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Ruth and Victoria Blumka Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Earl Kiely': {'Domenichino (Domenico Zampieri)': 1},\n",
       " '2005 CINOA Prize and Diane Carol Brandt': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'The Morse G. Dial Foundation': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Thaw Collection': {'Giovanni Battista Camuccini': 3,\n",
       "  'Agostino Tassi': 1,\n",
       "  'Pier Francesco Mola': 1},\n",
       " 'Eugene V. Thaw': {'Giovanni Battista Camuccini': 3,\n",
       "  'Agostino Tassi': 1,\n",
       "  'Pier Francesco Mola': 1,\n",
       "  'Giovanni Battista Piazzetta': 1},\n",
       " 'Charles and Jessie Price': {'Gaetano Gandolfi': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Stephen Mazoh': {'Gaetano Gandolfi': 1, 'Francesco Trevisani': 1},\n",
       " 'Brian J. Brille': {'Filippo Tarchiani': 1},\n",
       " 'Marco Voena': {'Orazio Borgianni': 1},\n",
       " 'Luigi Koelliker': {'Orazio Borgianni': 1},\n",
       " 'Anne Cox Chambers': {'Michele Gordigiani': 1},\n",
       " 'Acquisitions Fund': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Denise and Andrew Saul': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Fern and George Wachter': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Hester Diamond': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Mr. and Mrs. J. Tomilson Hill': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Anna Mont': {'Francesco Maffei': 1, 'Carlo Francesco Nuvolone': 1},\n",
       " 'University Place Foundation': {'Corrado Giaquinto': 1},\n",
       " 'Damon Mezzacappa': {'Ottavio Leoni (Il Padovano)': 1},\n",
       " 'Álvaro Saieh Bendeck': {'Giovanni Battista Gaulli (Il Baciccio)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Jean-Luc Baroni': {'Giovanni Battista Gaulli (Il Baciccio)': 1},\n",
       " 'Helen Hay Whitney': {'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Harry Payne Bingham Jr.': {'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Patrick Matthiesen and The Matthiesen Gallery': {'Ludovico Mazzolino': 1},\n",
       " 'Diane Burke': {'Guido Cagnacci': 1},\n",
       " 'Michel David-Weill': {'Guido Cagnacci': 1},\n",
       " 'Dinko Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Nena Ilic-Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Iva Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Claire and Giovanni Sarti': {'Bartolomeo Cavarozzi': 1},\n",
       " 'Mr. and Mrs. Frederick W. Beinecke': {'Carlo Dolci': 1},\n",
       " 'Mr. and Mrs. Richard L. Chilton Jr.': {'Carlo Dolci': 1},\n",
       " 'Ronald S. Lauder': {'Carlo Dolci': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'in memory of George T. Delacorte Jr.': {'Carlo Dolci': 1},\n",
       " 'The Morris': {'Giovanni Battista Caracciolo': 1},\n",
       " 'Alma Schapiro Fund': {'Giovanni Battista Caracciolo': 1},\n",
       " 'Everett Fahy': {'Placido Costanzi': 1},\n",
       " 'The Morris and Alma Schapiro Fund': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Alejandro Santo Domingo': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'David and Julie Tobey': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Brownstein Family Foundation': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Beatrice Stern': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Maurizio and Dominique Canesso': {'Girolamo da Carpi (Girolamo Sellari)': 1},\n",
       " 'Philippe de Montebello Fund': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Mrs. William M. Haupt': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Lillian S. Timken': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Forsyth Wickes': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'the Eugene V. and Clare E. Thaw Charitable Trust': {'Canaletto (Giovanni Antonio Canal)': 1},\n",
       " 'Errol M. Rudman': {'Orsola Maddalena Caccia': 3,\n",
       "  'Panfilo Nuvolone': 1,\n",
       "  'Giuseppe Ruoppolo': 1,\n",
       "  'Alessandro Turchi': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Bartolomeo Cavarozzi|Master of the Acquavella Still Life': 1,\n",
       "  'Carlo Maratti': 1,\n",
       "  'Carlo Cignani': 1},\n",
       " 'Alan M. May': {'Pier Francesco Mola': 1}}"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#art_dealers_dict={artdealer1:{artist1:1, artist2:2}, artdealer2:{.. . ..}}\n",
    "\n",
    "#agents_df=pd.read_csv(\"D:\\\\PycharmProjects\\\\infoviz\\\\data_management\\\\transfers.csv\")\n",
    "agents_df=pd.read_csv(\"E:\\\\GitHub\\\\infoviz\\\\data_management\\\\transfers.csv\")\n",
    "\n",
    "\n",
    "art_dealers_dict={}\n",
    "\n",
    "for index, row in agents_df.iterrows():\n",
    "    if type(row[\"agentsTransfer\"]) == type(\"\"):\n",
    "        for elem in row[\"agentsTransfer\"].split(', '):\n",
    "            if elem not in art_dealers_dict:\n",
    "                art_dealers_dict[elem]={row[\"Artist Display Name\"]:1}\n",
    "            else:\n",
    "                if row[\"Artist Display Name\"] in art_dealers_dict[elem]:\n",
    "                    art_dealers_dict[elem][row[\"Artist Display Name\"]]+=1\n",
    "                else:\n",
    "                    art_dealers_dict[elem][row[\"Artist Display Name\"]]=1\n",
    "\n",
    "art_dealers_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "480451fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "for elem in art_dealers_dict:\n",
    "\n",
    "    art_dealers_dict[elem] = dict(sorted(art_dealers_dict[elem].items(), key=lambda item: item[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "6a9656cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Rudolph and Lentilhon G. von Fluegge Foundation Inc.': {'Jacopo Amigoni': 1},\n",
       " 'Rogers Fund': {'Andrea di Bartolo': 1,\n",
       "  'Zanobi Strozzi': 1,\n",
       "  'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1,\n",
       "  'Giovanni Baronzio': 1,\n",
       "  'Fra Bartolomeo (Bartolomeo di Paolo del Fattorino)': 1,\n",
       "  'Giovanni Bellini': 1,\n",
       "  'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Bronzino': 1,\n",
       "  'Caravaggio (Michelangelo Merisi)': 1,\n",
       "  'Fra Carnevale (Bartolomeo di Giovanni Corradini)': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Bernardo Cavallino': 1,\n",
       "  'Cima da Conegliano (Giovanni Battista Cima)': 1,\n",
       "  'Giovanni di Bartolommeo Cristiani': 1,\n",
       "  'Gaspare Diziani': 1,\n",
       "  'Defendente Ferrari': 1,\n",
       "  'Bernardino Fungai': 1,\n",
       "  'Taddeo Gaddi': 1,\n",
       "  'Michele Giambono (Michele Giovanni Bono)': 1,\n",
       "  'Giovanni da Milano': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Francesco Guardi': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Italian (Lombard) Painter': 1,\n",
       "  'Italian (Sienese) Painter': 1,\n",
       "  'Franceschino Zavattari': 1,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  \"Lorenzo di Credi (Lorenzo d'Andrea d'Oderigo)\": 1,\n",
       "  'Lorenzo Lotto': 1,\n",
       "  'Marco del Buono Giamberti|Apollonio di Giovanni di Tomaso': 1,\n",
       "  'Master of Charles of Durazzo': 1,\n",
       "  'Master of Flora': 1,\n",
       "  'Master of Lecceto': 1,\n",
       "  'Master of Monte Oliveto': 1,\n",
       "  'Bartolomeo Montagna (Bartolomeo Cincani)': 1,\n",
       "  \"Neroccio de' Landi\": 1,\n",
       "  'Niccolò di Pietro': 1,\n",
       "  'Pietro di Domenico da Montepulciano': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Sebastiano Ricci': 1,\n",
       "  'Giovanni Francesco Romanelli': 1,\n",
       "  'Salvator Rosa': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Gaetano Gandolfi': 1,\n",
       "  'Benedetto Luti': 1,\n",
       "  'Pompeo Batoni': 2,\n",
       "  'Carlo Crivelli': 2,\n",
       "  'Domenico Fetti': 2,\n",
       "  'Fra Filippo Lippi': 2,\n",
       "  'Master of 1416': 2,\n",
       "  'Moretto da Brescia (Alessandro Bonvicino)': 2,\n",
       "  'Francesco Solimena': 2,\n",
       "  'Benozzo Gozzoli (Benozzo di Lese di Sandro)': 4,\n",
       "  'Giovanni Battista Tiepolo': 7},\n",
       " 'Helen O. Brice': {'Giacomo Andreoli': 1},\n",
       " 'Lucy G. Moses': {'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Taddeo di Bartolo': 1},\n",
       " 'Benjamin Altman': {'Fra Angelico (Guido di Pietro)': 1,\n",
       "  \"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Botticelli (Alessandro di Mariano Filipepi)': 1,\n",
       "  'Francesco Francia': 1,\n",
       "  'Domenico Ghirlandaio': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Bartolomeo Montagna (Bartolomeo Cincani)': 1,\n",
       "  \"Raffaellino del Garbo (also known as Raffaelle de' Capponi and Raffaelle de' Carli)\": 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Andrea del Verrocchio': 1,\n",
       "  'Titian (Tiziano Vecellio)': 2},\n",
       " 'May Dougherty King': {'Zanobi Strozzi': 1},\n",
       " 'The Friedsam Collection': {\"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Ercole Banci': 1,\n",
       "  \"Bonifacio de' Pitati (Bonifacio Veronese)\": 1,\n",
       "  'Bernardo Daddi': 1,\n",
       "  'Italian Painter': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Davide Ghirlandaio (David Bigordi)': 1,\n",
       "  'Ridolfo Ghirlandaio': 1,\n",
       "  'Italian (Marchigian?) Painter': 1,\n",
       "  'Italian (Umbrian) Painter': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master called Pseudo-Pier Francesco Fiorentino': 1,\n",
       "  'Marco di Paolo Veneziano': 1,\n",
       "  'Cosimo Rosselli': 1,\n",
       "  'Franciabigio (Francesco di Cristofano)': 1,\n",
       "  'Andrea Solario': 1,\n",
       "  'Titian': 1,\n",
       "  'Giovanni di Francesco del Cervelliera': 1,\n",
       "  'Lippo Vanni (Lippo Vanni di Giovanni)': 1,\n",
       "  \"Biagio d'Antonio\": 2,\n",
       "  'North Italian Painter': 2,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 3},\n",
       " 'Michael Friedsam': {\"Antonello da Messina (Antonello di Giovanni d'Antonio)\": 1,\n",
       "  'Ercole Banci': 1,\n",
       "  \"Bonifacio de' Pitati (Bonifacio Veronese)\": 1,\n",
       "  'Bernardo Daddi': 1,\n",
       "  'Italian Painter': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Davide Ghirlandaio (David Bigordi)': 1,\n",
       "  'Ridolfo Ghirlandaio': 1,\n",
       "  'Italian (Marchigian?) Painter': 1,\n",
       "  'Italian (Umbrian) Painter': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master called Pseudo-Pier Francesco Fiorentino': 1,\n",
       "  'Marco di Paolo Veneziano': 1,\n",
       "  'Cosimo Rosselli': 1,\n",
       "  'Franciabigio (Francesco di Cristofano)': 1,\n",
       "  'Andrea Solario': 1,\n",
       "  'Titian': 1,\n",
       "  'Giovanni di Francesco del Cervelliera': 1,\n",
       "  'Lippo Vanni (Lippo Vanni di Giovanni)': 1,\n",
       "  \"Biagio d'Antonio\": 2,\n",
       "  'North Italian Painter': 2,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 3},\n",
       " 'George Blumenthal': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1,\n",
       "  'Pompeo Batoni': 1,\n",
       "  'Bernardino da Genoa': 1,\n",
       "  'Cima da Conegliano (Giovanni Battista Cima)': 1,\n",
       "  'Vittore Crivelli': 1,\n",
       "  'Francesco di Giorgio Martini': 1,\n",
       "  'Francesco Francia': 1,\n",
       "  'Ambrogio Lorenzetti': 1,\n",
       "  'Luca di Tommè di Nuto': 1,\n",
       "  'Master of Monte Oliveto': 1,\n",
       "  'Niccolò di Buonaccorso': 1,\n",
       "  'Paolo di Giovanni Fei': 1,\n",
       "  'Mirabello Cavalori': 1,\n",
       "  'Priamo della Quercia (Priamo del Pietro)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Segna di Buonaventura': 1,\n",
       "  'Jacopo di Arcangelo (called Jacopo del Sellaio)': 1,\n",
       "  'Simone Martini': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Ambrogio Bevilacqua': 1,\n",
       "  'Ugolino da Siena': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  'Agnolo Gaddi': 2,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 2,\n",
       "  'Master of the Magdalen': 2,\n",
       "  'Bernardo Daddi': 3},\n",
       " 'Gwynne Andrews Fund': {\"Bachiacca (Francesco d'Ubertino Verdi)\": 1,\n",
       "  'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Fra Carnevale (Bartolomeo di Giovanni Corradini)': 1,\n",
       "  'Annibale Carracci': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Cigoli (Ludovico Cardi)': 1,\n",
       "  'Saturnino Gatti': 1,\n",
       "  'Niccolò di Pietro Gerini': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Liberale da Verona': 1,\n",
       "  'Andrea di Lione': 1,\n",
       "  'Girolamo Mazzola Bedoli': 1,\n",
       "  'Baldassare Tommaso Peruzzi': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Sebastiano Ricci': 1,\n",
       "  'Andrea Sacchi': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Gaspare Traversi': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Orazio Borgianni': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Francesco Trevisani': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1,\n",
       "  'Bartolomeo di Tommaso': 2,\n",
       "  'Giovanni Paolo Panini': 2,\n",
       "  'Benedetto Luti': 2,\n",
       "  'Lorenzo Monaco (Piero di Giovanni)': 4},\n",
       " 'The Jack and Belle Linsky Collection': {'Fra Bartolomeo (Bartolomeo di Paolo del Fattorino)': 1,\n",
       "  'Bernardino dei Conti': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Vittore Crivelli': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Italian (Pisan) Painter': 1,\n",
       "  'Alessandro Magnasco': 1,\n",
       "  'Master of the Annunciation to the Shepherds': 1,\n",
       "  'Pseudo-Palmeruccio': 1,\n",
       "  \"Andrea del Sarto (Andrea d'Agnolo)\": 1,\n",
       "  \"Bachiacca (Francesco d'Ubertino Verdi)\": 2,\n",
       "  'Francesco Guardi': 2},\n",
       " 'Samuel H. Kress Foundation': {\"Donato de' Bardi\": 1,\n",
       "  \"Neroccio de' Landi\": 1,\n",
       "  'Antonio Vivarini': 1},\n",
       " 'Michael Dreicer': {'Bartolomeo degli Erri': 1,\n",
       "  \"Piero di Cosimo (Piero di Lorenzo di Piero d'Antonio)\": 1,\n",
       "  'Pietro di Francesco Orioli': 1},\n",
       " 'Fletcher Fund': {'Bartolomeo degli Erri': 1,\n",
       "  'Giuliano di Piero di Simone Bugiardini': 1,\n",
       "  'Girolamo dai Libri': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  'Bergognone (Ambrogio di Stefano da Fossano)': 2},\n",
       " 'Daniel Wildenstein': {'Bartolomeo di Giovanni': 1},\n",
       " 'The Charles Engelhard Foundation': {'Pompeo Batoni': 1},\n",
       " 'Robert Lehman Foundation Inc.': {'Pompeo Batoni': 1},\n",
       " 'Mrs. Haebler Frantz': {'Pompeo Batoni': 1},\n",
       " 'April R. Axton': {'Pompeo Batoni': 1},\n",
       " 'L. H. P. Klotz': {'Pompeo Batoni': 1},\n",
       " 'David Mortimer': {'Pompeo Batoni': 1},\n",
       " 'Mr. and Mrs. Charles Wrightsman': {'Pompeo Batoni': 1,\n",
       "  'Paris Bordon': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Luca Giordano': 1,\n",
       "  'Guido Reni': 1,\n",
       "  'Giovanni Domenico Tiepolo': 1,\n",
       "  'Guercino (Giovanni Francesco Barbieri)': 2,\n",
       "  'Giovanni Battista Tiepolo': 3},\n",
       " 'J. Pierpont Morgan': {'Pompeo Batoni': 1,\n",
       "  'Giovanni Bellini': 1,\n",
       "  \"Biagio d'Antonio\": 1,\n",
       "  'Carlo Innocenzo Carloni': 1,\n",
       "  'Francesco Casanova': 1,\n",
       "  'Pietro Longhi (Pietro Falca)': 1,\n",
       "  'Jacopo di Arcangelo (called Jacopo del Sellaio)': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Raphael (Raffaello Sanzio or Santi)': 1,\n",
       "  'Sebastiano del Piombo (Sebastiano Luciani)': 1,\n",
       "  'Tommaso Fiorentino (Tommaso di Stefano Lunetti)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  'Garofalo (Benvenuto Tisi da Garofalo)': 2},\n",
       " 'Millie Bruhl Fredrick': {'Pompeo Batoni': 1, 'Lavinia Fontana': 1},\n",
       " 'Mary Clark Thompson': {'Pompeo Batoni': 1},\n",
       " 'Theodore M. Davis Collection': {'Giovanni Bellini': 1,\n",
       "  'Boccaccio Boccaccino': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Vincenzo Foppa': 1,\n",
       "  'Gentile da Fabriano (Gentile di Niccolò di Giovanni di Massio)': 1,\n",
       "  'Master of the Lanckoronski Annunciation': 1,\n",
       "  \"L'Ortolano (Giovanni Battista Benvenuti)\": 1,\n",
       "  'Carlo Saraceni': 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Francesco Zaganelli (Francesco di Bosio)': 1,\n",
       "  'Giovanni Battista Moroni': 2,\n",
       "  'Martino di Bartolommeo di Biagio': 4},\n",
       " 'Theodore M. Davis': {'Giovanni Bellini': 1,\n",
       "  'Boccaccio Boccaccino': 1,\n",
       "  'Catena (Vincenzo di Biagio)': 1,\n",
       "  'Vincenzo Foppa': 1,\n",
       "  'Gentile da Fabriano (Gentile di Niccolò di Giovanni di Massio)': 1,\n",
       "  'Master of the Lanckoronski Annunciation': 1,\n",
       "  \"L'Ortolano (Giovanni Battista Benvenuti)\": 1,\n",
       "  'Carlo Saraceni': 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Francesco Zaganelli (Francesco di Bosio)': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Giovanni Battista Moroni': 2,\n",
       "  'Martino di Bartolommeo di Biagio': 4},\n",
       " 'The Jules Bache Collection': {'Botticelli': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Girolamo da Cremona': 1,\n",
       "  'Jacometto (Jacometto Veneziano)': 1,\n",
       "  'Filippino Lippi': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Andrea Mantegna': 1,\n",
       "  'Master of the Castello Nativity': 1,\n",
       "  'Raphael': 1,\n",
       "  \"Luca Signorelli (Luca d'Egidio di Luca di Ventura)\": 1,\n",
       "  'Cosmè Tura (Cosimo di Domenico di Bonaventura)': 1,\n",
       "  'Giovanni Bellini': 2,\n",
       "  'Titian (Tiziano Vecellio)': 2},\n",
       " 'Irma N. Straus': {'Jacopo Bellini': 1,\n",
       "  'Berlinghiero': 1,\n",
       "  'Master of the Magdalen': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Pacino di Bonaguida': 1,\n",
       "  'Sano di Pietro (Ansano di Pietro di Mencio)': 2},\n",
       " 'Wrightsman Fund': {'Bernardo Bellotto': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Pier Francesco Mola': 1,\n",
       "  'Marcantonio Franceschini': 1},\n",
       " 'Joseph Pulitzer': {'Bernardo Bellotto': 1,\n",
       "  'Giovanni Battista Moroni': 1,\n",
       "  'Luca Signorelli': 1,\n",
       "  'Duccio di Buoninsegna': 1},\n",
       " 'Coudert Brothers': {'Bicci di Lorenzo': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 1,\n",
       "  'Guariento di Arpo': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Francis Kleinberger': {'Bicci di Lorenzo': 1},\n",
       " 'Catharine Lorillard Wolfe Collection': {'Giovanni Boldini': 1},\n",
       " 'Catharine Lorillard Wolfe': {'Giovanni Boldini': 1},\n",
       " 'Mrs. Edward C. Moën': {'Giovanni Boldini': 1},\n",
       " 'Consuelo Vanderbilt Balsan': {'Giovanni Boldini': 1},\n",
       " 'Martha T. Fiske Collord': {'Giovanni Boldini': 1, 'Alberto Pasini': 1},\n",
       " 'Mr. and Mrs. Edwin L. Weisl Jr.': {\"Bonifacio de' Pitati (Bonifacio Veronese)\": 1},\n",
       " 'Humanities Fund Inc.': {'Domenico Bossi': 1},\n",
       " 'Mr. and Mrs. Edward A. Friedman': {'Giuseppe Bottani': 1},\n",
       " 'John Stewart Kennedy Fund': {'Botticelli (Alessandro di Mariano Filipepi)': 1,\n",
       "  'Bramantino (Bartolomeo Suardi)': 1,\n",
       "  'Vittore Carpaccio': 1,\n",
       "  'Correggio (Antonio Allegri)': 1,\n",
       "  'Carlo Crivelli': 1,\n",
       "  'Giotto di Bondone': 1,\n",
       "  'Filippino Lippi': 1,\n",
       "  'Moretto da Brescia (Alessandro Bonvicino)': 1,\n",
       "  'Giovanni Domenico Tiepolo': 1,\n",
       "  'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'H. O. Havemeyer Collection': {'Botticelli': 1,\n",
       "  'Bronzino (Agnolo di Cosimo di Mariano)': 1,\n",
       "  'Francesco Montemezzano': 1,\n",
       "  'Gaspare Traversi|Goya': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'Mrs. H. O. Havemeyer': {'Botticelli': 1,\n",
       "  'Bronzino (Agnolo di Cosimo di Mariano)': 1,\n",
       "  'Francesco Montemezzano': 1,\n",
       "  'Gaspare Traversi|Goya': 1,\n",
       "  'Paolo Veronese (Paolo Caliari)': 1},\n",
       " 'George R. Hann': {'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Francesco Francia': 1},\n",
       " 'Harris Brisbane Dick Fund': {'Francesco Botticini (Francesco di Giovanni)': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Segna di Buonaventura': 3},\n",
       " 'Edward Fowles': {'Giuliano di Piero di Simone Bugiardini': 1,\n",
       "  'Italian (Florentine or Sienese) Painter': 1,\n",
       "  'North Italian Painter': 1,\n",
       "  'Paolo Veneziano': 1},\n",
       " 'Paul Ganz': {'Francesco Cairo': 1},\n",
       " 'Edith Neuman de Végvár': {'Bernardino Campi': 1},\n",
       " 'Mrs. Charles Wrightsman': {'Lorenzo Lotto': 1,\n",
       "  'Baldassare Tommaso Peruzzi': 1,\n",
       "  'Giovanni Domenico Tiepolo': 1,\n",
       "  'Francesco Guardi': 2,\n",
       "  'Giovanni Battista Tiepolo': 2,\n",
       "  'Canaletto (Giovanni Antonio Canal)': 7},\n",
       " 'The Collection of Giovanni P. Morosini': {'F. Carbonara': 1,\n",
       "  'Master of Charles of Durazzo': 1},\n",
       " 'Collis P. Huntington': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Gigola': 1,\n",
       "  'Alberto Pasini': 1},\n",
       " 'Ogden Mills': {'Annibale Carracci': 1},\n",
       " 'Miss Adelaide Milton de Groot (1876-1967)': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Piazzetta': 1},\n",
       " 'Dr. and Mrs. Manuel Porter and sons': {'Annibale Carracci': 1},\n",
       " 'Mrs. Charles S. Payson': {'Catena (Vincenzo di Biagio)': 1},\n",
       " 'Jean Fowles': {'Cenni di Francesco di Ser Cenni': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Maria DeWitt Jesup Fund': {'Giacomo Ceruti': 1,\n",
       "  'Dosso Dossi (Giovanni de Lutero)': 1,\n",
       "  \"Andrea del Sarto (Andrea d'Agnolo)\": 1},\n",
       " 'Mario Modestini': {'Giuseppe Bartolomeo Chiari': 1},\n",
       " 'Frederick C. Hewitt Fund': {'Guidoccio di Giovanni Cozzarelli': 1,\n",
       "  'Perugino (Pietro di Cristoforo Vannucci)': 1,\n",
       "  'Pietro Longhi (Pietro Falca)': 2},\n",
       " 'Harriet H. Jonas': {'Bernardo Daddi': 1},\n",
       " 'Maitland F. Griggs Collection': {'Liberale da Verona': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Maso di Banco': 1,\n",
       "  'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Michelino da Besozzo (Michelino de Mulinari)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Bernardo Daddi': 2,\n",
       "  'Simone Martini': 4},\n",
       " 'Maitland F. Griggs': {'Liberale da Verona': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  'Maso di Banco': 1,\n",
       "  'Fra Angelico (Guido di Pietro)': 1,\n",
       "  'Lippo Memmi (Filippo di Memmo)': 1,\n",
       "  'Michelino da Besozzo (Michelino de Mulinari)': 1,\n",
       "  'Sassetta (Stefano di Giovanni)': 1,\n",
       "  'Bernardo Daddi': 2,\n",
       "  'Simone Martini': 4},\n",
       " 'Mr. and Mrs. Ralph Friedman': {'Cesare Dandini': 1},\n",
       " 'Robert Lehman': {'Giovanni di Tano Fei': 1,\n",
       "  'Lippo di Benivieni': 1,\n",
       "  'Master of Varlungo': 1,\n",
       "  'Matteo di Giovanni di Bartolo': 1,\n",
       "  'Jacopo Palma the Younger': 1,\n",
       "  'Bartolomeo Vivarini': 1},\n",
       " 'Marquand Fund': {'Francesco di Giorgio Martini': 1,\n",
       "  'Goodhart Ducciesque Master': 1,\n",
       "  'Domenico Guidobono': 1,\n",
       "  'Lorenzo Monaco (Piero di Giovanni)': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Giovanni Gerolamo Savoldo': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'D.C. Samuel H. Kress Collection': {'Francesco di Giorgio Martini': 1},\n",
       " 'Lewis C. Ledyard III': {'Francesco Francia': 1},\n",
       " 'Mrs. Victor Onet': {'Francesco Francia': 1},\n",
       " 'Mrs. T. F. Turner': {'Francesco Francia': 1},\n",
       " 'Elinor Dorrance Ingersoll': {'Artemisia Gentileschi': 1},\n",
       " 'Francis L. Leland Fund': {'Jacopo Tintoretto (Jacopo Robusti)': 1,\n",
       "  'Davide Ghirlandaio (David Bigordi)': 3},\n",
       " 'Cornelius Vanderbilt': {'Domenico Ghirlandaio (Domenico Bigordi)': 1,\n",
       "  'Aurelio Lomi': 1},\n",
       " 'Mrs. W. Murray Crane': {'Italian (Florentine) Painter': 1,\n",
       "  'Pietro da Rimini': 1,\n",
       "  'Francescuccio Ghissi (Francesco di Cecco Ghissi)': 3},\n",
       " 'Mr. and Mrs. Frank E. Richardson': {'Giampietrino (Giovanni Pietro Rizzoli)': 1,\n",
       "  'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Mr. and Mrs. Harold Morton Landon': {'Luca Giordano': 1},\n",
       " 'The Vincent Astor Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Annette de la Renta': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Drue Heinz Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'The Annenberg Foundation': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1,\n",
       "  'Ludovico Carracci': 1},\n",
       " 'the children of Mrs. Harry Payne Whitney': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Mr. and Mrs. Joshua Logan': {'Giovanni di ser Giovanni Guidi (called Scheggia)': 1},\n",
       " 'Harry G. Sperling': {'Benozzo Gozzoli (Benozzo di Lese di Sandro)': 1,\n",
       "  'Jacopino del Conte': 1,\n",
       "  'Gaspare Traversi': 1},\n",
       " 'Dodge Fund': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1,\n",
       "  'Duccio di Buoninsegna': 1},\n",
       " 'Ella Morris de Peyster': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1},\n",
       " 'Mrs. Donald Oenslager': {'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Francesco Granacci': 1},\n",
       " 'Julia A. Berwind': {'Francesco Guardi': 2},\n",
       " 'Adele L. Lehman': {'Francesco Guardi': 1,\n",
       "  'Master G.Z. (possibly Michele dai Carri, Italian, Ferrara, active by 1405–died 1441 Ferrara)': 1,\n",
       "  'Sano di Pietro (Ansano di Pietro di Mencio)': 1,\n",
       "  'Segna di Buonaventura': 1,\n",
       "  'Antonio Vivarini': 1,\n",
       "  'Bartolomeo Vivarini': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Mary Stillman Harkness': {'Francesco Guardi': 1,\n",
       "  'Pesellino (Francesco di Stefano)': 1},\n",
       " 'R. A. Farnsworth': {'Domenico Guidobono': 1},\n",
       " 'Victor Wilbour Memorial Fund': {'Domenico Guidobono': 1,\n",
       "  'Italian (Venetian) Painter': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Guido Reni': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Rosalba Carriera': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'The Alfred N. Punnett Endowment Fund': {'Domenico Guidobono': 1,\n",
       "  'Mattia Preti (Il Cavalier Calabrese)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Charles B. Curtis Fund': {'Domenico Guidobono': 1,\n",
       "  'Salvator Rosa': 1,\n",
       "  'Ludovico Carracci': 1},\n",
       " 'James L. Loeb': {\"Nicola di Maestro Antonio d'Ancona\": 1},\n",
       " 'Georges Brauer': {'Italian (Florentine) Painter': 1},\n",
       " 'Colonel C. Michael Paul': {'Italian (Florentine) Painter': 1},\n",
       " 'Katherine S. Dreier': {'Italian (Florentine) Painter': 1},\n",
       " 'Marquand Collection': {'Italian (Lombard) Painter': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  \"Marco d'Oggiono\": 1},\n",
       " 'Henry G. Marquand': {'Italian (Lombard) Painter': 1,\n",
       "  'Fra Filippo Lippi': 1,\n",
       "  \"Marco d'Oggiono\": 1},\n",
       " 'Mary Cushing Fosburgh': {'Italian (Umbrian) Painter': 1},\n",
       " 'Rodman Wanamaker': {'Italian (Umbrian) Painter': 1},\n",
       " 'Clarence Dillon': {'Daniele da Volterra': 1},\n",
       " 'Alice Bradford Woolsey': {'Antonio Joli': 1},\n",
       " 'Eric Seiler': {'Jacopo Ligozzi': 1},\n",
       " 'Darcy Bradbury': {'Jacopo Ligozzi': 1},\n",
       " 'Edward A. and Karen S. W. Friedman': {'Jacopo Ligozzi': 1},\n",
       " 'Donald S. Klopfer': {'Filippino Lippi': 1},\n",
       " 'Samuel H. Kress': {'Pietro Longhi (Pietro Falca)': 1,\n",
       "  'Master of the Orcagnesque Misericordia': 1},\n",
       " 'Richard De Wolfe Brixey': {\"Lorenzo di Credi (Lorenzo d'Andrea d'Oderigo)\": 1},\n",
       " 'G. Louise Robinson': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Mrs. Ralph J. Hines': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Mabel Choate': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Paul Peralta Ramos': {'Lorenzo Monaco (Piero di Giovanni)': 1},\n",
       " 'Administration Fund': {'Luca di Tommè di Nuto': 1},\n",
       " 'Katherine D. W. Glover': {'Alessandro Magnasco': 1},\n",
       " 'Kretschmar Fund': {'Giovanni Maldura': 1},\n",
       " 'Elizabeth U. Coles': {'Antonio Mancini': 1},\n",
       " 'Anonymous': {'Andrea Mantegna': 1,\n",
       "  'Scipione Pulzone (Il Gaetano)': 1,\n",
       "  'Girolamo Romanino': 1},\n",
       " 'Gloria Zicht': {'Luigi Marta': 1},\n",
       " 'The Jack and Belle Linsky Foundation': {'Master of the Orcagnesque Misericordia': 1,\n",
       "  'Perugino (Pietro di Cristoforo Vannucci)': 1},\n",
       " 'Mrs. Ridgely Hunt': {\"Neroccio de' Landi\": 1},\n",
       " 'Alice Borland Wilson': {'Bernardino Detti': 1},\n",
       " 'James S. Deely': {'Girolamo Mazzola Bedoli': 1},\n",
       " 'Mr. and Mrs. Eugene Victor Thaw': {'Giovanni Antonio Pellegrini': 1},\n",
       " 'Robert Gordon': {\"Piero di Cosimo (Piero di Lorenzo di Piero d'Antonio)\": 2},\n",
       " 'Edward S. Harkness': {'Piero del Pollaiuolo (Piero di Jacopo Benci)': 1,\n",
       "  'Cosimo Rosselli': 1},\n",
       " 'Helena W. Charlton': {'Mattia Preti (Il Cavalier Calabrese)': 1},\n",
       " 'Enid A. Haupt': {'Giulio Cesare Procaccini': 1, 'Andrea Sacchi': 1},\n",
       " 'Jane L. Melville': {'Sebastiano Ricci': 1},\n",
       " 'Mr. and Mrs. Piero Corsini': {'Sebastiano Ricci': 1},\n",
       " 'Mary L. Harrison': {'Salvator Rosa': 1},\n",
       " 'Mr. and Mrs. Nate B. Spingold': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Mary V. T. Eberstadt': {'Andrea Schiavone (Andrea Meldola)': 1},\n",
       " 'Josephine Bieber': {'Sebastiano del Piombo': 1},\n",
       " 'the Collection of James Stillman': {'Andrea Solario': 1},\n",
       " 'Dr. Ernest G. Stillman': {'Andrea Solario': 1},\n",
       " 'the family of Francis M. Bacon': {'Spinello Aretino (Spinello di Luca Spinelli)': 1},\n",
       " 'Edward W. Carter': {'Massimo Stanzione': 1},\n",
       " 'Mary Wetmore Shively': {'Bernardo Strozzi': 1},\n",
       " 'Eula M. Ganz': {'Pietro Testa': 1},\n",
       " 'Grace Rainey Rogers': {'Girolamo Mengozzi (called Colonna)|Giovanni Battista Tiepolo': 4,\n",
       "  'Giovanni Domenico Tiepolo': 4,\n",
       "  'Giovanni Battista Tiepolo': 5},\n",
       " 'Munsey Fund': {'Titian': 2},\n",
       " 'Bernard M. Baruch': {'Francesco Zuccarelli': 1},\n",
       " 'Asbjorn R. Lunde': {'Sodoma (Giovanni Antonio Bazzi)': 1,\n",
       "  'Bernardo Daddi': 1},\n",
       " 'Herman and Lila Shickman': {'Caravaggio (Michelangelo Merisi)': 1},\n",
       " 'Lila Acheson Wallace': {'Caravaggio (Michelangelo Merisi)': 1,\n",
       "  'Ludovico Carracci': 1,\n",
       "  'Pietro Lorenzetti': 1,\n",
       "  'Federico Barocci': 1,\n",
       "  'Duccio di Buoninsegna': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Guido Cagnacci': 1},\n",
       " 'Lore Heinemann': {'Taddeo Gaddi': 1,\n",
       "  'Paolo Uccello (Paolo di Dono)': 1,\n",
       "  'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 2,\n",
       "  'Francesco Guardi': 2,\n",
       "  'Giovanni Battista Tiepolo': 2},\n",
       " 'Jules Fisher': {'Santi di Tito': 1},\n",
       " 'Friends of European Paintings': {'Santi di Tito': 1,\n",
       "  'Francesco Granacci (Francesco di Andrea di Marco)': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Ubaldo Gandolfi': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  'Giovanni Battista Gaulli (Il Baciccio)': 1},\n",
       " 'Dianne Modestini': {'Domenico Fetti': 1, 'Giovanni Battista Piazzetta': 1},\n",
       " 'Edwin L. Weisl Jr.': {'Annibale Carracci': 1},\n",
       " 'Mary Jane Harris': {'Scarsellino (Ippolito Scarsella)': 1},\n",
       " 'Francesca Rospigliosi': {'Bianca Boni': 1},\n",
       " 'Jon and Barbara Landau': {'Ludovico Carracci': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Mr. and Mrs. Mark Fisch': {'Corrado Giaquinto': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1,\n",
       "  'Jacopo Bassano (Jacopo da Ponte)': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Ludovico Carracci': 2},\n",
       " 'Pat and John Rosenwald': {'Ludovico Carracci': 1},\n",
       " 'Gwynne Andrews Funds': {'Ludovico Carracci': 1},\n",
       " 'Mortimer D. Sackler': {'Ludovico Carracci': 1},\n",
       " 'Theresa Sackler and Family Fund': {'Ludovico Carracci': 1},\n",
       " 'Mario and Dianne Modestini': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Nancy': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Carolina': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'Isabelle Richardson': {'Francesco Granacci (Francesco di Andrea di Marco)': 1},\n",
       " 'George Delacorte Fund': {'Rosalba Carriera': 1, 'Carlo Dolci': 1},\n",
       " '2002 Benefit Fund': {'Federico Barocci': 1},\n",
       " 'Richard L. Feigen': {'Carlo Saraceni': 1},\n",
       " 'Walter and Leonore Annenberg and The Annenberg Foundation': {'Duccio di Buoninsegna': 1},\n",
       " 'Louis V. Bell Fund': {'Duccio di Buoninsegna': 1},\n",
       " \"several members of The Chairman's Council\": {'Duccio di Buoninsegna': 1},\n",
       " 'Elaine L. Rosenberg': {'Duccio di Buoninsegna': 1},\n",
       " 'Stephenson Family Foundation': {'Duccio di Buoninsegna': 1,\n",
       "  'Domenichino (Domenico Zampieri)': 1},\n",
       " '2003 Benefit Fund': {'Duccio di Buoninsegna': 1},\n",
       " 'Lawrence and Julie Salander': {'Bruno Marzi': 1, 'Umberto Giunti': 1},\n",
       " 'Fabrizio Moretti': {'Annibale Carracci': 1,\n",
       "  'Giovanni Battista Gaulli (Il Baciccio)': 1,\n",
       "  'Giacomo Ceruti': 1},\n",
       " 'Adam Williams': {'Annibale Carracci': 1},\n",
       " 'Melissa O. Aronson': {'Mattia Preti (Il Cavalier Calabrese)': 1},\n",
       " 'Walter and Leonore Annenberg Acquisitions Endowment Fund': {'Domenichino (Domenico Zampieri)': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'The Reed Foundation': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Elaine Rosenberg': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Edward J. Gallagher Jr.': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Museum Purchase Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Peter Tcherepnine': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'The Camille M. Lownds Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Ruth and Victoria Blumka Fund': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Earl Kiely': {'Domenichino (Domenico Zampieri)': 1},\n",
       " '2005 CINOA Prize and Diane Carol Brandt': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'The Morse G. Dial Foundation': {'Domenichino (Domenico Zampieri)': 1},\n",
       " 'Thaw Collection': {'Agostino Tassi': 1,\n",
       "  'Pier Francesco Mola': 1,\n",
       "  'Giovanni Battista Camuccini': 3},\n",
       " 'Eugene V. Thaw': {'Agostino Tassi': 1,\n",
       "  'Pier Francesco Mola': 1,\n",
       "  'Giovanni Battista Piazzetta': 1,\n",
       "  'Giovanni Battista Camuccini': 3},\n",
       " 'Charles and Jessie Price': {'Gaetano Gandolfi': 1,\n",
       "  'Perino del Vaga (Pietro Buonaccorsi)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Stephen Mazoh': {'Gaetano Gandolfi': 1, 'Francesco Trevisani': 1},\n",
       " 'Brian J. Brille': {'Filippo Tarchiani': 1},\n",
       " 'Marco Voena': {'Orazio Borgianni': 1},\n",
       " 'Luigi Koelliker': {'Orazio Borgianni': 1},\n",
       " 'Anne Cox Chambers': {'Michele Gordigiani': 1},\n",
       " 'Acquisitions Fund': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Denise and Andrew Saul': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Fern and George Wachter': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Hester Diamond': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Mr. and Mrs. J. Tomilson Hill': {'Perino del Vaga (Pietro Buonaccorsi)': 1},\n",
       " 'Anna Mont': {'Francesco Maffei': 1, 'Carlo Francesco Nuvolone': 1},\n",
       " 'University Place Foundation': {'Corrado Giaquinto': 1},\n",
       " 'Damon Mezzacappa': {'Ottavio Leoni (Il Padovano)': 1},\n",
       " 'Álvaro Saieh Bendeck': {'Giovanni Battista Gaulli (Il Baciccio)': 1,\n",
       "  'Guido Cagnacci': 1,\n",
       "  \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Jean-Luc Baroni': {'Giovanni Battista Gaulli (Il Baciccio)': 1},\n",
       " 'Helen Hay Whitney': {'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Harry Payne Bingham Jr.': {'Giovanni Benedetto Castiglione (Il Grechetto)': 1},\n",
       " 'Patrick Matthiesen and The Matthiesen Gallery': {'Ludovico Mazzolino': 1},\n",
       " 'Diane Burke': {'Guido Cagnacci': 1},\n",
       " 'Michel David-Weill': {'Guido Cagnacci': 1},\n",
       " 'Dinko Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Nena Ilic-Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Iva Podrug': {'Antoniazzo Romano (Antonio di Benedetto Aquilio)': 1},\n",
       " 'Claire and Giovanni Sarti': {'Bartolomeo Cavarozzi': 1},\n",
       " 'Mr. and Mrs. Frederick W. Beinecke': {'Carlo Dolci': 1},\n",
       " 'Mr. and Mrs. Richard L. Chilton Jr.': {'Carlo Dolci': 1},\n",
       " 'Ronald S. Lauder': {'Carlo Dolci': 1,\n",
       "  \"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'in memory of George T. Delacorte Jr.': {'Carlo Dolci': 1},\n",
       " 'The Morris': {'Giovanni Battista Caracciolo': 1},\n",
       " 'Alma Schapiro Fund': {'Giovanni Battista Caracciolo': 1},\n",
       " 'Everett Fahy': {'Placido Costanzi': 1},\n",
       " 'The Morris and Alma Schapiro Fund': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Alejandro Santo Domingo': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'David and Julie Tobey': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Brownstein Family Foundation': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Beatrice Stern': {\"Francesco Salviati (Francesco de' Rossi)\": 1},\n",
       " 'Maurizio and Dominique Canesso': {'Girolamo da Carpi (Girolamo Sellari)': 1},\n",
       " 'Philippe de Montebello Fund': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Mrs. William M. Haupt': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Lillian S. Timken': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'Forsyth Wickes': {\"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\": 1},\n",
       " 'the Eugene V. and Clare E. Thaw Charitable Trust': {'Canaletto (Giovanni Antonio Canal)': 1},\n",
       " 'Errol M. Rudman': {'Panfilo Nuvolone': 1,\n",
       "  'Giuseppe Ruoppolo': 1,\n",
       "  'Alessandro Turchi': 1,\n",
       "  'Giovanni Benedetto Castiglione (Il Grechetto)': 1,\n",
       "  'Bartolomeo Cavarozzi|Master of the Acquavella Still Life': 1,\n",
       "  'Carlo Maratti': 1,\n",
       "  'Carlo Cignani': 1,\n",
       "  'Orsola Maddalena Caccia': 3},\n",
       " 'Alan M. May': {'Pier Francesco Mola': 1}}"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "art_dealers_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5adcd193",
   "metadata": {},
   "source": [
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1978f72a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Rudolph and Lentilhon G. von Fluegge Foundation Inc.': 'Jacopo Amigoni',\n",
       " 'Rogers Fund': 'Giovanni Battista Tiepolo',\n",
       " 'Helen O. Brice': 'Giacomo Andreoli',\n",
       " 'Lucy G. Moses': 'Taddeo di Bartolo',\n",
       " 'Benjamin Altman': 'Titian (Tiziano Vecellio)',\n",
       " 'May Dougherty King': 'Zanobi Strozzi',\n",
       " 'The Friedsam Collection': 'Giovanni di Paolo (Giovanni di Paolo di Grazia)',\n",
       " 'Michael Friedsam': 'Giovanni di Paolo (Giovanni di Paolo di Grazia)',\n",
       " 'George Blumenthal': 'Bernardo Daddi',\n",
       " 'Gwynne Andrews Fund': 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'The Jack and Belle Linsky Collection': 'Francesco Guardi',\n",
       " 'Samuel H. Kress Foundation': 'Antonio Vivarini',\n",
       " 'Michael Dreicer': 'Pietro di Francesco Orioli',\n",
       " 'Fletcher Fund': 'Bergognone (Ambrogio di Stefano da Fossano)',\n",
       " 'Daniel Wildenstein': 'Bartolomeo di Giovanni',\n",
       " 'The Charles Engelhard Foundation': 'Pompeo Batoni',\n",
       " 'Robert Lehman Foundation Inc.': 'Pompeo Batoni',\n",
       " 'Mrs. Haebler Frantz': 'Pompeo Batoni',\n",
       " 'April R. Axton': 'Pompeo Batoni',\n",
       " 'L. H. P. Klotz': 'Pompeo Batoni',\n",
       " 'David Mortimer': 'Pompeo Batoni',\n",
       " 'Mr. and Mrs. Charles Wrightsman': 'Giovanni Battista Tiepolo',\n",
       " 'J. Pierpont Morgan': 'Garofalo (Benvenuto Tisi da Garofalo)',\n",
       " 'Millie Bruhl Fredrick': 'Lavinia Fontana',\n",
       " 'Mary Clark Thompson': 'Pompeo Batoni',\n",
       " 'Theodore M. Davis Collection': 'Martino di Bartolommeo di Biagio',\n",
       " 'Theodore M. Davis': 'Martino di Bartolommeo di Biagio',\n",
       " 'The Jules Bache Collection': 'Titian (Tiziano Vecellio)',\n",
       " 'Irma N. Straus': 'Sano di Pietro (Ansano di Pietro di Mencio)',\n",
       " 'Wrightsman Fund': 'Marcantonio Franceschini',\n",
       " 'Joseph Pulitzer': 'Duccio di Buoninsegna',\n",
       " 'Coudert Brothers': 'Giovanni Benedetto Castiglione (Il Grechetto)',\n",
       " 'Francis Kleinberger': 'Bicci di Lorenzo',\n",
       " 'Catharine Lorillard Wolfe Collection': 'Giovanni Boldini',\n",
       " 'Catharine Lorillard Wolfe': 'Giovanni Boldini',\n",
       " 'Mrs. Edward C. Moën': 'Giovanni Boldini',\n",
       " 'Consuelo Vanderbilt Balsan': 'Giovanni Boldini',\n",
       " 'Martha T. Fiske Collord': 'Alberto Pasini',\n",
       " 'Mr. and Mrs. Edwin L. Weisl Jr.': \"Bonifacio de' Pitati (Bonifacio Veronese)\",\n",
       " 'Humanities Fund Inc.': 'Domenico Bossi',\n",
       " 'Mr. and Mrs. Edward A. Friedman': 'Giuseppe Bottani',\n",
       " 'John Stewart Kennedy Fund': 'Paolo Veronese (Paolo Caliari)',\n",
       " 'H. O. Havemeyer Collection': 'Paolo Veronese (Paolo Caliari)',\n",
       " 'Mrs. H. O. Havemeyer': 'Paolo Veronese (Paolo Caliari)',\n",
       " 'George R. Hann': 'Francesco Francia',\n",
       " 'Harris Brisbane Dick Fund': 'Segna di Buonaventura',\n",
       " 'Edward Fowles': 'Paolo Veneziano',\n",
       " 'Paul Ganz': 'Francesco Cairo',\n",
       " 'Edith Neuman de Végvár': 'Bernardino Campi',\n",
       " 'Mrs. Charles Wrightsman': 'Canaletto (Giovanni Antonio Canal)',\n",
       " 'The Collection of Giovanni P. Morosini': 'Master of Charles of Durazzo',\n",
       " 'Collis P. Huntington': 'Alberto Pasini',\n",
       " 'Ogden Mills': 'Annibale Carracci',\n",
       " 'Miss Adelaide Milton de Groot (1876-1967)': 'Giovanni Battista Piazzetta',\n",
       " 'Dr. and Mrs. Manuel Porter and sons': 'Annibale Carracci',\n",
       " 'Mrs. Charles S. Payson': 'Catena (Vincenzo di Biagio)',\n",
       " 'Jean Fowles': 'Giovanni Benedetto Castiglione (Il Grechetto)',\n",
       " 'Maria DeWitt Jesup Fund': \"Andrea del Sarto (Andrea d'Agnolo)\",\n",
       " 'Mario Modestini': 'Giuseppe Bartolomeo Chiari',\n",
       " 'Frederick C. Hewitt Fund': 'Pietro Longhi (Pietro Falca)',\n",
       " 'Harriet H. Jonas': 'Bernardo Daddi',\n",
       " 'Maitland F. Griggs Collection': 'Simone Martini',\n",
       " 'Maitland F. Griggs': 'Simone Martini',\n",
       " 'Mr. and Mrs. Ralph Friedman': 'Cesare Dandini',\n",
       " 'Robert Lehman': 'Bartolomeo Vivarini',\n",
       " 'Marquand Fund': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'D.C. Samuel H. Kress Collection': 'Francesco di Giorgio Martini',\n",
       " 'Lewis C. Ledyard III': 'Francesco Francia',\n",
       " 'Mrs. Victor Onet': 'Francesco Francia',\n",
       " 'Mrs. T. F. Turner': 'Francesco Francia',\n",
       " 'Elinor Dorrance Ingersoll': 'Artemisia Gentileschi',\n",
       " 'Francis L. Leland Fund': 'Davide Ghirlandaio (David Bigordi)',\n",
       " 'Cornelius Vanderbilt': 'Aurelio Lomi',\n",
       " 'Mrs. W. Murray Crane': 'Francescuccio Ghissi (Francesco di Cecco Ghissi)',\n",
       " 'Mr. and Mrs. Frank E. Richardson': 'Giovanni di ser Giovanni Guidi (called Scheggia)',\n",
       " 'Mr. and Mrs. Harold Morton Landon': 'Luca Giordano',\n",
       " 'The Vincent Astor Foundation': 'Giovanni di ser Giovanni Guidi (called Scheggia)',\n",
       " 'Annette de la Renta': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Drue Heinz Foundation': 'Giovanni di ser Giovanni Guidi (called Scheggia)',\n",
       " 'The Annenberg Foundation': 'Ludovico Carracci',\n",
       " 'the children of Mrs. Harry Payne Whitney': 'Giovanni di ser Giovanni Guidi (called Scheggia)',\n",
       " 'Mr. and Mrs. Joshua Logan': 'Giovanni di ser Giovanni Guidi (called Scheggia)',\n",
       " 'Harry G. Sperling': 'Gaspare Traversi',\n",
       " 'Dodge Fund': 'Duccio di Buoninsegna',\n",
       " 'Ella Morris de Peyster': 'Francesco Granacci',\n",
       " 'Mrs. Donald Oenslager': 'Francesco Granacci',\n",
       " 'Julia A. Berwind': 'Francesco Guardi',\n",
       " 'Adele L. Lehman': 'Giovanni Benedetto Castiglione (Il Grechetto)',\n",
       " 'Mary Stillman Harkness': 'Pesellino (Francesco di Stefano)',\n",
       " 'R. A. Farnsworth': 'Domenico Guidobono',\n",
       " 'Victor Wilbour Memorial Fund': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'The Alfred N. Punnett Endowment Fund': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Charles B. Curtis Fund': 'Ludovico Carracci',\n",
       " 'James L. Loeb': \"Nicola di Maestro Antonio d'Ancona\",\n",
       " 'Georges Brauer': 'Italian (Florentine) Painter',\n",
       " 'Colonel C. Michael Paul': 'Italian (Florentine) Painter',\n",
       " 'Katherine S. Dreier': 'Italian (Florentine) Painter',\n",
       " 'Marquand Collection': \"Marco d'Oggiono\",\n",
       " 'Henry G. Marquand': \"Marco d'Oggiono\",\n",
       " 'Mary Cushing Fosburgh': 'Italian (Umbrian) Painter',\n",
       " 'Rodman Wanamaker': 'Italian (Umbrian) Painter',\n",
       " 'Clarence Dillon': 'Daniele da Volterra',\n",
       " 'Alice Bradford Woolsey': 'Antonio Joli',\n",
       " 'Eric Seiler': 'Jacopo Ligozzi',\n",
       " 'Darcy Bradbury': 'Jacopo Ligozzi',\n",
       " 'Edward A. and Karen S. W. Friedman': 'Jacopo Ligozzi',\n",
       " 'Donald S. Klopfer': 'Filippino Lippi',\n",
       " 'Samuel H. Kress': 'Master of the Orcagnesque Misericordia',\n",
       " 'Richard De Wolfe Brixey': \"Lorenzo di Credi (Lorenzo d'Andrea d'Oderigo)\",\n",
       " 'G. Louise Robinson': 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'Mrs. Ralph J. Hines': 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'Mabel Choate': 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'Paul Peralta Ramos': 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'Administration Fund': 'Luca di Tommè di Nuto',\n",
       " 'Katherine D. W. Glover': 'Alessandro Magnasco',\n",
       " 'Kretschmar Fund': 'Giovanni Maldura',\n",
       " 'Elizabeth U. Coles': 'Antonio Mancini',\n",
       " 'Anonymous': 'Girolamo Romanino',\n",
       " 'Gloria Zicht': 'Luigi Marta',\n",
       " 'The Jack and Belle Linsky Foundation': 'Perugino (Pietro di Cristoforo Vannucci)',\n",
       " 'Mrs. Ridgely Hunt': \"Neroccio de' Landi\",\n",
       " 'Alice Borland Wilson': 'Bernardino Detti',\n",
       " 'James S. Deely': 'Girolamo Mazzola Bedoli',\n",
       " 'Mr. and Mrs. Eugene Victor Thaw': 'Giovanni Antonio Pellegrini',\n",
       " 'Robert Gordon': \"Piero di Cosimo (Piero di Lorenzo di Piero d'Antonio)\",\n",
       " 'Edward S. Harkness': 'Cosimo Rosselli',\n",
       " 'Helena W. Charlton': 'Mattia Preti (Il Cavalier Calabrese)',\n",
       " 'Enid A. Haupt': 'Andrea Sacchi',\n",
       " 'Jane L. Melville': 'Sebastiano Ricci',\n",
       " 'Mr. and Mrs. Piero Corsini': 'Sebastiano Ricci',\n",
       " 'Mary L. Harrison': 'Salvator Rosa',\n",
       " 'Mr. and Mrs. Nate B. Spingold': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Mary V. T. Eberstadt': 'Andrea Schiavone (Andrea Meldola)',\n",
       " 'Josephine Bieber': 'Sebastiano del Piombo',\n",
       " 'the Collection of James Stillman': 'Andrea Solario',\n",
       " 'Dr. Ernest G. Stillman': 'Andrea Solario',\n",
       " 'the family of Francis M. Bacon': 'Spinello Aretino (Spinello di Luca Spinelli)',\n",
       " 'Edward W. Carter': 'Massimo Stanzione',\n",
       " 'Mary Wetmore Shively': 'Bernardo Strozzi',\n",
       " 'Eula M. Ganz': 'Pietro Testa',\n",
       " 'Grace Rainey Rogers': 'Giovanni Battista Tiepolo',\n",
       " 'Munsey Fund': 'Titian',\n",
       " 'Bernard M. Baruch': 'Francesco Zuccarelli',\n",
       " 'Asbjorn R. Lunde': 'Bernardo Daddi',\n",
       " 'Herman and Lila Shickman': 'Caravaggio (Michelangelo Merisi)',\n",
       " 'Lila Acheson Wallace': 'Guido Cagnacci',\n",
       " 'Lore Heinemann': 'Giovanni Battista Tiepolo',\n",
       " 'Jules Fisher': 'Santi di Tito',\n",
       " 'Friends of European Paintings': 'Giovanni Battista Gaulli (Il Baciccio)',\n",
       " 'Dianne Modestini': 'Giovanni Battista Piazzetta',\n",
       " 'Edwin L. Weisl Jr.': 'Annibale Carracci',\n",
       " 'Mary Jane Harris': 'Scarsellino (Ippolito Scarsella)',\n",
       " 'Francesca Rospigliosi': 'Bianca Boni',\n",
       " 'Jon and Barbara Landau': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Mr. and Mrs. Mark Fisch': 'Ludovico Carracci',\n",
       " 'Pat and John Rosenwald': 'Ludovico Carracci',\n",
       " 'Gwynne Andrews Funds': 'Ludovico Carracci',\n",
       " 'Mortimer D. Sackler': 'Ludovico Carracci',\n",
       " 'Theresa Sackler and Family Fund': 'Ludovico Carracci',\n",
       " 'Mario and Dianne Modestini': 'Francesco Granacci (Francesco di Andrea di Marco)',\n",
       " 'Nancy': 'Francesco Granacci (Francesco di Andrea di Marco)',\n",
       " 'Carolina': 'Francesco Granacci (Francesco di Andrea di Marco)',\n",
       " 'Isabelle Richardson': 'Francesco Granacci (Francesco di Andrea di Marco)',\n",
       " 'George Delacorte Fund': 'Carlo Dolci',\n",
       " '2002 Benefit Fund': 'Federico Barocci',\n",
       " 'Richard L. Feigen': 'Carlo Saraceni',\n",
       " 'Walter and Leonore Annenberg and The Annenberg Foundation': 'Duccio di Buoninsegna',\n",
       " 'Louis V. Bell Fund': 'Duccio di Buoninsegna',\n",
       " \"several members of The Chairman's Council\": 'Duccio di Buoninsegna',\n",
       " 'Elaine L. Rosenberg': 'Duccio di Buoninsegna',\n",
       " 'Stephenson Family Foundation': 'Domenichino (Domenico Zampieri)',\n",
       " '2003 Benefit Fund': 'Duccio di Buoninsegna',\n",
       " 'Lawrence and Julie Salander': 'Umberto Giunti',\n",
       " 'Fabrizio Moretti': 'Giacomo Ceruti',\n",
       " 'Adam Williams': 'Annibale Carracci',\n",
       " 'Melissa O. Aronson': 'Mattia Preti (Il Cavalier Calabrese)',\n",
       " 'Walter and Leonore Annenberg Acquisitions Endowment Fund': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'The Reed Foundation': 'Domenichino (Domenico Zampieri)',\n",
       " 'Elaine Rosenberg': 'Domenichino (Domenico Zampieri)',\n",
       " 'Edward J. Gallagher Jr.': 'Domenichino (Domenico Zampieri)',\n",
       " 'Museum Purchase Fund': 'Domenichino (Domenico Zampieri)',\n",
       " 'Peter Tcherepnine': 'Domenichino (Domenico Zampieri)',\n",
       " 'The Camille M. Lownds Fund': 'Domenichino (Domenico Zampieri)',\n",
       " 'Ruth and Victoria Blumka Fund': 'Domenichino (Domenico Zampieri)',\n",
       " 'Earl Kiely': 'Domenichino (Domenico Zampieri)',\n",
       " '2005 CINOA Prize and Diane Carol Brandt': 'Domenichino (Domenico Zampieri)',\n",
       " 'The Morse G. Dial Foundation': 'Domenichino (Domenico Zampieri)',\n",
       " 'Thaw Collection': 'Giovanni Battista Camuccini',\n",
       " 'Eugene V. Thaw': 'Giovanni Battista Camuccini',\n",
       " 'Charles and Jessie Price': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Stephen Mazoh': 'Francesco Trevisani',\n",
       " 'Brian J. Brille': 'Filippo Tarchiani',\n",
       " 'Marco Voena': 'Orazio Borgianni',\n",
       " 'Luigi Koelliker': 'Orazio Borgianni',\n",
       " 'Anne Cox Chambers': 'Michele Gordigiani',\n",
       " 'Acquisitions Fund': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Denise and Andrew Saul': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Fern and George Wachter': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Hester Diamond': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Mr. and Mrs. J. Tomilson Hill': 'Perino del Vaga (Pietro Buonaccorsi)',\n",
       " 'Anna Mont': 'Carlo Francesco Nuvolone',\n",
       " 'University Place Foundation': 'Corrado Giaquinto',\n",
       " 'Damon Mezzacappa': 'Ottavio Leoni (Il Padovano)',\n",
       " 'Álvaro Saieh Bendeck': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Jean-Luc Baroni': 'Giovanni Battista Gaulli (Il Baciccio)',\n",
       " 'Helen Hay Whitney': 'Giovanni Benedetto Castiglione (Il Grechetto)',\n",
       " 'Harry Payne Bingham Jr.': 'Giovanni Benedetto Castiglione (Il Grechetto)',\n",
       " 'Patrick Matthiesen and The Matthiesen Gallery': 'Ludovico Mazzolino',\n",
       " 'Diane Burke': 'Guido Cagnacci',\n",
       " 'Michel David-Weill': 'Guido Cagnacci',\n",
       " 'Dinko Podrug': 'Antoniazzo Romano (Antonio di Benedetto Aquilio)',\n",
       " 'Nena Ilic-Podrug': 'Antoniazzo Romano (Antonio di Benedetto Aquilio)',\n",
       " 'Iva Podrug': 'Antoniazzo Romano (Antonio di Benedetto Aquilio)',\n",
       " 'Claire and Giovanni Sarti': 'Bartolomeo Cavarozzi',\n",
       " 'Mr. and Mrs. Frederick W. Beinecke': 'Carlo Dolci',\n",
       " 'Mr. and Mrs. Richard L. Chilton Jr.': 'Carlo Dolci',\n",
       " 'Ronald S. Lauder': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'in memory of George T. Delacorte Jr.': 'Carlo Dolci',\n",
       " 'The Morris': 'Giovanni Battista Caracciolo',\n",
       " 'Alma Schapiro Fund': 'Giovanni Battista Caracciolo',\n",
       " 'Everett Fahy': 'Placido Costanzi',\n",
       " 'The Morris and Alma Schapiro Fund': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Alejandro Santo Domingo': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'David and Julie Tobey': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Brownstein Family Foundation': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Beatrice Stern': \"Francesco Salviati (Francesco de' Rossi)\",\n",
       " 'Maurizio and Dominique Canesso': 'Girolamo da Carpi (Girolamo Sellari)',\n",
       " 'Philippe de Montebello Fund': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Mrs. William M. Haupt': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Lillian S. Timken': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'Forsyth Wickes': \"Stefano da Verona (Stefano di Giovanni d'Arbosio di Francia)\",\n",
       " 'the Eugene V. and Clare E. Thaw Charitable Trust': 'Canaletto (Giovanni Antonio Canal)',\n",
       " 'Errol M. Rudman': 'Orsola Maddalena Caccia',\n",
       " 'Alan M. May': 'Pier Francesco Mola'}"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for key in art_dealers_dict:\n",
    "    art_dealers_dict[key]=list(art_dealers_dict[key])[-1]\n",
    "art_dealers_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "e989511d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Rudolph and Lentilhon G. von Fluegge Foundation Inc.</th>\n",
       "      <td>Jacopo Amigoni</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rogers Fund</th>\n",
       "      <td>Giovanni Battista Tiepolo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Helen O. Brice</th>\n",
       "      <td>Giacomo Andreoli</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lucy G. Moses</th>\n",
       "      <td>Taddeo di Bartolo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Benjamin Altman</th>\n",
       "      <td>Titian (Tiziano Vecellio)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lillian S. Timken</th>\n",
       "      <td>Stefano da Verona (Stefano di Giovanni d'Arbos...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Forsyth Wickes</th>\n",
       "      <td>Stefano da Verona (Stefano di Giovanni d'Arbos...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>the Eugene V. and Clare E. Thaw Charitable Trust</th>\n",
       "      <td>Canaletto (Giovanni Antonio Canal)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Errol M. Rudman</th>\n",
       "      <td>Orsola Maddalena Caccia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Alan M. May</th>\n",
       "      <td>Pier Francesco Mola</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>234 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                    0\n",
       "Rudolph and Lentilhon G. von Fluegge Foundation...                                     Jacopo Amigoni\n",
       "Rogers Fund                                                                 Giovanni Battista Tiepolo\n",
       "Helen O. Brice                                                                       Giacomo Andreoli\n",
       "Lucy G. Moses                                                                       Taddeo di Bartolo\n",
       "Benjamin Altman                                                             Titian (Tiziano Vecellio)\n",
       "...                                                                                               ...\n",
       "Lillian S. Timken                                   Stefano da Verona (Stefano di Giovanni d'Arbos...\n",
       "Forsyth Wickes                                      Stefano da Verona (Stefano di Giovanni d'Arbos...\n",
       "the Eugene V. and Clare E. Thaw Charitable Trust                   Canaletto (Giovanni Antonio Canal)\n",
       "Errol M. Rudman                                                               Orsola Maddalena Caccia\n",
       "Alan M. May                                                                       Pier Francesco Mola\n",
       "\n",
       "[234 rows x 1 columns]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artdealers_df=pd.DataFrame([art_dealers_dict])\n",
    "artdealers_df=artdealers_df.T\n",
    "artdealers_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "e56cd232",
   "metadata": {},
   "outputs": [],
   "source": [
    "artdealers_df=pd.DataFrame(art_dealers_dict, index=['Artist',])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "336fe3cc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Artist    Giovanni Battista Tiepolo\n",
       "Name: Rogers Fund, dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "artdealers_df[\"Rogers Fund\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e1530a45",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Rogers Fund',\n",
       " 'Gwynne Andrews Fund',\n",
       " 'George Blumenthal',\n",
       " 'Michael Friedsam',\n",
       " 'Theodore M. Davis',\n",
       " 'The Jules Bache Collection',\n",
       " 'The Jack and Belle Linsky Collection',\n",
       " 'J. Pierpont Morgan',\n",
       " 'Mrs. Charles Wrightsman',\n",
       " 'Maitland F. Griggs',\n",
       " 'Grace Rainey Rogers',\n",
       " 'Benjamin Altman']"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#metdealer=pd.read_csv(\"D:\\\\PycharmProjects\\\\infoviz\\\\assets\\\\dataForSite\\\\exportCsv\\\\metdealer.csv\")\n",
    "metdealer=pd.read_csv(\"E:\\\\GitHub\\\\infoviz\\\\assets\\\\dataForSite\\\\exportCsv\\\\metdealer.csv\")\n",
    "\n",
    "metdealer=metdealer[~metdealer['dealer'].isnull()]\n",
    "metdealer_freq=metdealer.query('freq > 11')\n",
    "metdealer_freq=metdealer_freq.sort_values('freq',ascending=False)\n",
    "#for index, row in metdealer.iterrows():\n",
    "metdealer_freqlst=metdealer_freq['dealer'].tolist()\n",
    "metdealer_freqlst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "56863699",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Giovanni Battista Tiepolo',\n",
       " 'Lorenzo Monaco (Piero di Giovanni)',\n",
       " 'Bernardo Daddi',\n",
       " 'Giovanni di Paolo (Giovanni di Paolo di Grazia)',\n",
       " 'Martino di Bartolommeo di Biagio',\n",
       " 'Titian (Tiziano Vecellio)',\n",
       " 'Francesco Guardi',\n",
       " 'Garofalo (Benvenuto Tisi da Garofalo)',\n",
       " 'Canaletto (Giovanni Antonio Canal)',\n",
       " 'Simone Martini',\n",
       " 'Giovanni Battista Tiepolo',\n",
       " 'Titian (Tiziano Vecellio)']"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "favartist_lst=[]\n",
    "for elem in metdealer_freqlst:\n",
    "    templst=artdealers_df[elem].to_list()\n",
    "    favartist_lst.append(templst[0])\n",
    "favartist_lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "800e5fec",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[nltk_data] Downloading package maxent_ne_chunker to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package maxent_ne_chunker is already up-to-date!\n",
      "[nltk_data] Downloading package words to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package words is already up-to-date!\n",
      "[nltk_data] Downloading package treebank to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package treebank is already up-to-date!\n",
      "[nltk_data] Downloading package maxent_treebank_pos_tagger to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package maxent_treebank_pos_tagger is already up-to-\n",
      "[nltk_data]       date!\n",
      "[nltk_data] Downloading package punkt to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Unzipping tokenizers\\punkt.zip.\n",
      "[nltk_data] Downloading package averaged_perceptron_tagger to\n",
      "[nltk_data]     C:\\Users\\aligh\\AppData\\Roaming\\nltk_data...\n",
      "[nltk_data]   Package averaged_perceptron_tagger is already up-to-\n",
      "[nltk_data]       date!\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import nltk\n",
    "import spacy\n",
    " \n",
    "# essential entity models downloads\n",
    "nltk.downloader.download('maxent_ne_chunker')\n",
    "nltk.downloader.download('words')\n",
    "nltk.downloader.download('treebank')\n",
    "nltk.downloader.download('maxent_treebank_pos_tagger')\n",
    "nltk.downloader.download('punkt')\n",
    "nltk.download('averaged_perceptron_tagger')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "eb30576a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The cities in text : \n",
      "['Venice', 'Madrid']\n"
     ]
    }
   ],
   "source": [
    "import locationtagger\n",
    "\n",
    "# initializing sample text\n",
    "sample_text = \"Italian, Venice 1682 1752 Madrid\"\n",
    " \n",
    "# extracting entities.\n",
    "place_entity = locationtagger.find_locations(text = sample_text)\n",
    " \n",
    "# # getting all countries\n",
    "# print(\"The countries in text : \")\n",
    "# print(place_entity.countries)\n",
    " \n",
    "# # getting all states\n",
    "# print(\"The states in text : \")\n",
    "# print(place_entity.regions)\n",
    " \n",
    "# getting all cities\n",
    "print(\"The cities in text : \")\n",
    "print(place_entity.cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "c7a51a84",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Italian, Venice 1682–1752 Madrid'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agents_df['Artist Display Bio'][0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "3bbd87db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Italian, Venice 1696–1770 Madrid'"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "agents_df.loc[agents_df['Artist Display Name'] == 'Giovanni Battista Tiepolo', 'Artist Display Bio'].iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ab5def8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Italian, Venice 1696–1770 Madrid',\n",
       " 'Italian, Florence (?) ca. 1370–1425 Florence (?)',\n",
       " 'Italian, Florence (?) ca. 1290–1348 Florence',\n",
       " 'Italian, Siena 1398–1482 Siena',\n",
       " 'Italian, Sienese, active by 1389–died 1434/35',\n",
       " 'Italian, Pieve di Cadore ca. 1485/90?–1576 Venice',\n",
       " 'Italian, Venice 1712–1793 Venice',\n",
       " 'Italian, Ferrara 1481–1559 Ferrara',\n",
       " 'Italian, Venice 1697–1768 Venice',\n",
       " 'Italian, Siena, active by 1315–died 1344 Avignon',\n",
       " 'Italian, Venice 1696–1770 Madrid',\n",
       " 'Italian, Pieve di Cadore ca. 1485/90?–1576 Venice']"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "favartist_loclist=[]\n",
    "for elem in favartist_lst:\n",
    "    favartist_loclist.append(agents_df.loc[agents_df['Artist Display Name'] == elem, 'Artist Display Bio'].iloc[0])\n",
    "\n",
    "favartist_loclist"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1f571243",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "ghg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "f0701699",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'Giovanni Battista Tiepolo': 'Italian, Venice 1696–1770 Madrid',\n",
       " 'Lorenzo Monaco (Piero di Giovanni)': 'Italian, Florence (?) ca. 1370–1425 Florence (?)',\n",
       " 'Bernardo Daddi': 'Italian, Florence (?) ca. 1290–1348 Florence',\n",
       " 'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 'Italian, Siena 1398–1482 Siena',\n",
       " 'Martino di Bartolommeo di Biagio': 'Italian, Sienese, active by 1389–died 1434/35',\n",
       " 'Titian (Tiziano Vecellio)': 'Italian, Pieve di Cadore ca. 1485/90?–1576 Venice',\n",
       " 'Francesco Guardi': 'Italian, Venice 1712–1793 Venice',\n",
       " 'Garofalo (Benvenuto Tisi da Garofalo)': 'Italian, Ferrara 1481–1559 Ferrara',\n",
       " 'Canaletto (Giovanni Antonio Canal)': 'Italian, Venice 1697–1768 Venice',\n",
       " 'Simone Martini': 'Italian, Siena, active by 1315–died 1344 Avignon'}"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict_favartist_loc=dict()\n",
    "\n",
    "def make_dict(keys, values):\n",
    "    return dict(zip(keys, values))\n",
    "\n",
    "dict_favartist_loc=make_dict(favartist_lst, favartist_loclist)\n",
    "dict_favartist_loc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "ee9ef4aa",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Venice', 'Florence', 'Florence', '0', '0', 'Venice', 'Venice', '0', 'Venice', 'Avignon', 'Venice', 'Venice']\n"
     ]
    }
   ],
   "source": [
    "favartist_cities=[]\n",
    "for elem in favartist_loclist:\n",
    "\n",
    "    # extracting entities.\n",
    "    place_entity = locationtagger.find_locations(text = elem)\n",
    "\n",
    "    if len(place_entity.cities) == 0:\n",
    "        favartist_cities.append('0')\n",
    "    else:\n",
    "        favartist_cities.append(place_entity.cities[0])\n",
    "\n",
    "# # getting all countries\n",
    "# print(\"The countries in text : \")\n",
    "# print(place_entity.countries)\n",
    "\n",
    "# # getting all states\n",
    "# print(\"The states in text : \")\n",
    "# print(place_entity.regions)\n",
    "\n",
    "# getting all cities\n",
    "print(favartist_cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "cc2937c7",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Rogers Fund': {'Giovanni Battista Tiepolo': 'Italian, Venice 1696–1770 Madrid'}, 'Gwynne Andrews Fund': {'Lorenzo Monaco (Piero di Giovanni)': 'Italian, Florence (?) ca. 1370–1425 Florence (?)'}, 'George Blumenthal': {'Bernardo Daddi': 'Italian, Florence (?) ca. 1290–1348 Florence'}, 'Michael Friedsam': {'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 'Italian, Siena 1398–1482 Siena'}, 'Theodore M. Davis': {'Martino di Bartolommeo di Biagio': 'Italian, Sienese, active by 1389–died 1434/35'}, 'The Jules Bache Collection': {'Titian (Tiziano Vecellio)': 'Italian, Pieve di Cadore ca. 1485/90?–1576 Venice'}, 'The Jack and Belle Linsky Collection': {'Francesco Guardi': 'Italian, Venice 1712–1793 Venice'}, 'J. Pierpont Morgan': {'Garofalo (Benvenuto Tisi da Garofalo)': 'Italian, Ferrara 1481–1559 Ferrara'}, 'Mrs. Charles Wrightsman': {'Canaletto (Giovanni Antonio Canal)': 'Italian, Venice 1697–1768 Venice'}, 'Maitland F. Griggs': {'Simone Martini': 'Italian, Siena, active by 1315–died 1344 Avignon'}, 'Grace Rainey Rogers': {'Giovanni Battista Tiepolo': 'Italian, Venice 1696–1770 Madrid'}, 'Benjamin Altman': {'Titian (Tiziano Vecellio)': 'Italian, Pieve di Cadore ca. 1485/90?–1576 Venice'}}\n"
     ]
    }
   ],
   "source": [
    "# a = metdealer_freqlst\n",
    "# b = favartist_lst\n",
    "# c = favartist_loclist\n",
    "\n",
    "dict_fav_artists_for_metdealers = dict(map(lambda x, y, z : (x, {str(y): str(z)}), metdealer_freqlst, favartist_lst, favartist_loclist))\n",
    "\n",
    "print(dict_fav_artists_for_metdealers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "1cee5b60",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Venice',\n",
       " 'Florence',\n",
       " 'Florence',\n",
       " 'Siena',\n",
       " 'Siena',\n",
       " 'Venice',\n",
       " 'Venice',\n",
       " 'Ferrara',\n",
       " 'Venice',\n",
       " 'Siena',\n",
       " 'Venice',\n",
       " 'Venice']"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "favartist_cities[3] = 'Siena'\n",
    "favartist_cities[4] = 'Siena'\n",
    "favartist_cities[7] = 'Ferrara'\n",
    "favartist_cities[9] = 'Siena'\n",
    "favartist_cities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3784a7f6",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'Rogers Fund': {'Giovanni Battista Tiepolo': 'Venice'}, 'Gwynne Andrews Fund': {'Lorenzo Monaco (Piero di Giovanni)': 'Florence'}, 'George Blumenthal': {'Bernardo Daddi': 'Florence'}, 'Michael Friedsam': {'Giovanni di Paolo (Giovanni di Paolo di Grazia)': 'Siena'}, 'Theodore M. Davis': {'Martino di Bartolommeo di Biagio': 'Siena'}, 'The Jules Bache Collection': {'Titian (Tiziano Vecellio)': 'Venice'}, 'The Jack and Belle Linsky Collection': {'Francesco Guardi': 'Venice'}, 'J. Pierpont Morgan': {'Garofalo (Benvenuto Tisi da Garofalo)': 'Ferrara'}, 'Mrs. Charles Wrightsman': {'Canaletto (Giovanni Antonio Canal)': 'Venice'}, 'Maitland F. Griggs': {'Simone Martini': 'Siena'}, 'Grace Rainey Rogers': {'Giovanni Battista Tiepolo': 'Venice'}, 'Benjamin Altman': {'Titian (Tiziano Vecellio)': 'Venice'}}\n"
     ]
    }
   ],
   "source": [
    "dict_fav_artists_for_metdealers = dict(map(lambda x, y, z : (x, {str(y): str(z)}), metdealer_freqlst, favartist_lst, favartist_cities))\n",
    "\n",
    "print(dict_fav_artists_for_metdealers)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "id": "ad333ca2",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# importing geopy library\n",
    "from geopy.geocoders import Nominatim\n",
    "\n",
    "# calling the Nominatim tool\n",
    "loc = Nominatim(user_agent=\"GetLoc\")\n",
    "lat=[]\n",
    "long=[]\n",
    "# entering the location name\n",
    "for elem in favartist_cities:\n",
    "    getLoc = loc.geocode(elem)\n",
    "    lat.append(getLoc.latitude)\n",
    "    long.append(getLoc.longitude)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "id": "17f840b3",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cord_list=list(zip(lat, long))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "id": "2d7aecce",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Map = folium.Map(location = [45.43,12.33], zoom_start=1)\n",
    "# for point in cord_list:\n",
    "#     folium.CircleMarker(location=point, color=\"red\", radius=5, weight=5).add_to(Map)\n",
    "# Map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "id": "43e31e45",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_cord = pd.DataFrame(columns = [\"Lat\", \"Long\"])\n",
    "df_cord[\"Lat\"]=lat\n",
    "df_cord[\"Long\"]=long"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "id": "f3018bfd",
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
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       "                    left: 0.0%;\n",
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       "                }\n",
       "                .leaflet-container { font-size: 1rem; }\n",
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       "&lt;/head&gt;\n",
       "&lt;body&gt;\n",
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       "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
       "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
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       "        \n",
       "    \n",
       "            map_022d1b1829859332dd3ed065075b0222.fitBounds(\n",
       "                [[43.1672254, 11.2555757], [45.4371908, 12.3345898]],\n",
       "                {}\n",
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x25abc68fc70>"
      ]
     },
     "execution_count": 120,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(df_cord[['Lat', 'Long']].mean().values.tolist())\n",
    "\n",
    "for lat, lon in zip(df_cord['Lat'], df_cord['Long']):\n",
    "    folium.Marker([lat, lon]).add_to(m)\n",
    "\n",
    "sw = df_cord[['Lat', 'Long']].min().values.tolist()\n",
    "ne = df_cord[['Lat', 'Long']].max().values.tolist()\n",
    "\n",
    "m.fit_bounds([sw, ne])\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "041416a0",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "25b110fd",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# favartist_cities=[]\n",
    "# for elem in favartist_loclist:\n",
    "#\n",
    "#     # extracting entities.\n",
    "#     place_entity = locationtagger.find_locations(text = elem)\n",
    "#\n",
    "#     if len(place_entity.cities) == 0:\n",
    "#         favartist_cities.append('0')\n",
    "#     else:\n",
    "#         favartist_cities.append(place_entity.cities[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "beb53783",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# sample_text = \"Italian, Venice 1682 1752 Madrid\"\n",
    "\n",
    "# # extracting entities.\n",
    "# place_entity1 = locationtagger.find_locations(text = sample_text)\n",
    "\n",
    "# # # getting all countries\n",
    "# # print(\"The countries in text : \")\n",
    "# # print(place_entity.countries)\n",
    "\n",
    "# # # getting all states\n",
    "# # print(\"The states in text : \")\n",
    "# # print(place_entity.regions)\n",
    "\n",
    "# # getting all cities\n",
    "# print(\"The cities in text : \")\n",
    "# print(place_entity1.cities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "20172c24",
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# place_entity1.cities[0]"
   ]
  }
 ],
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