statistics.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Get statistics about the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sparqlqueries as sq\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import paths as p\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "melart_annotations=json.load(open(p.MELART_ANNOTATIONS_PATH, 'r'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Split test: 100 artworks', 'Split train: 1188 artworks', 'Split val: 328 artworks']\n"
     ]
    }
   ],
   "source": [
    "artworks_qids=dict() # split -> list of qids (keys from the melart annotations)\n",
    "for qid,melart_artwork in melart_annotations.items():\n",
    "    split=melart_artwork['split']\n",
    "    if split not in artworks_qids:\n",
    "        artworks_qids[split]=[]\n",
    "    artworks_qids[split].append(qid)\n",
    "print([f\"Split {split}: {len(qids)} artworks\" for split,qids in artworks_qids.items()])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total: 1616 artworks\n"
     ]
    }
   ],
   "source": [
    "all_qids=[qid for split,qids in artworks_qids.items() for qid in qids]\n",
    "print(f\"Total: {len(all_qids)} artworks\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "869\n"
     ]
    },
    {
     "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>ent</th>\n",
       "      <th>movement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1000128</td>\n",
       "      <td>Q189458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q1025704</td>\n",
       "      <td>Q166713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q102852946</td>\n",
       "      <td>Q6076361</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q10468599</td>\n",
       "      <td>Q166713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q1065493</td>\n",
       "      <td>Q184814</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ent  movement\n",
       "0    Q1000128   Q189458\n",
       "1    Q1025704   Q166713\n",
       "2  Q102852946  Q6076361\n",
       "3   Q10468599   Q166713\n",
       "4    Q1065493   Q184814"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_movements=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?ent ?movement  WHERE{ \n",
    "VALUES ?ent { %s }\n",
    " ?ent wdt:P135 ?movement.\n",
    "}\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_movement=sq.sparql_pandas_query(sparql_movements)\n",
    "df_movement['ent']=df_movement['ent'].apply(lambda x: x.split('/')[-1])\n",
    "df_movement['movement']=df_movement['movement'].apply(lambda x: x.split('/')[-1])\n",
    "print(len(df_movement))\n",
    "df_movement.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 82 movements\n"
     ]
    }
   ],
   "source": [
    "set_movements=set(df_movement['movement'])\n",
    "print(f\"Total of {len(set_movements)} movements\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Query the labels of the movements"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q281108 -> naïve art\n",
      "Q1404472 -> Italian Renaissance\n",
      "Q3272569 -> luminism\n",
      "Q4692 -> Renaissance\n",
      "Q150091 -> neo-impressionism\n",
      "Q4745527 -> American realism\n",
      "Q80113 -> Expressionism\n",
      "Q46825 -> Gothic art\n",
      "Q14378 -> neoclassicism\n",
      "Q5668507 -> Rococo painting\n"
     ]
    }
   ],
   "source": [
    "movement_labels=sq.sparql_all_lables(list(set_movements))\n",
    "for movement in list(set_movements)[:10]:\n",
    "    print(f\"{movement} -> {movement_labels[movement][0]}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Count the number of artworks per movement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_movements_count=df_movement.groupby('movement').size().reset_index(name='count')\n",
    "df_movements_count=df_movements_count.sort_values('count', ascending=False)\n",
    "df_movements_count[\"label\"]=df_movements_count[\"movement\"].apply(lambda x: movement_labels[x][0])\n",
    "k=20\n",
    "ax=df_movements_count.head(k).plot(kind='barh', x='label', xlabel='Number of artworks' ,ylabel='Movement' ,y='count', figsize=(3,5), legend=False)\n",
    "ax.invert_yaxis()\n",
    "plt.savefig(\"figures/movements.pdf\", bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "High Renaissance is the most represented movement, but all 4 most represented movements are from the Renaissance period."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 861 artworks without movement\n"
     ]
    }
   ],
   "source": [
    "unknown_movement_artworks=set(all_qids)-set(df_movement[\"ent\"])\n",
    "print(f\"Total of {len(unknown_movement_artworks)} artworks without movement\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1690\n"
     ]
    },
    {
     "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>ent</th>\n",
       "      <th>genre</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1000128</td>\n",
       "      <td>Q1047337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q1016012</td>\n",
       "      <td>Q19547247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q1025704</td>\n",
       "      <td>Q1935974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q102852946</td>\n",
       "      <td>Q2864737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q10322725</td>\n",
       "      <td>Q134307</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ent      genre\n",
       "0    Q1000128   Q1047337\n",
       "1    Q1016012  Q19547247\n",
       "2    Q1025704   Q1935974\n",
       "3  Q102852946   Q2864737\n",
       "4   Q10322725    Q134307"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_genres=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?ent ?genre  WHERE{ \n",
    "VALUES ?ent { %s }\n",
    " ?ent wdt:P136 ?genre.\n",
    "}\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_genre=sq.sparql_pandas_query(sparql_genres)\n",
    "df_genre['ent']=df_genre['ent'].apply(lambda x: x.split('/')[-1])\n",
    "df_genre['genre']=df_genre['genre'].apply(lambda x: x.split('/')[-1])\n",
    "print(len(df_genre))\n",
    "df_genre.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 63 genres\n"
     ]
    }
   ],
   "source": [
    "set_genres=set(df_genre['genre'])\n",
    "print(f\"Total of {len(set_genres)} genres\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q29527347 -> figure\n",
      "Q1622217 -> figurative art\n",
      "Q128758 -> satire\n",
      "Q53017426 -> Arthurian painting\n",
      "Q185905 -> ukiyo-e\n",
      "Q18811686 -> interior view\n",
      "Q3304751 -> meisho-e\n",
      "Q5448026 -> figure painting\n",
      "Q30303254 -> historiated portrait\n",
      "Q57603596 -> justice panel\n"
     ]
    }
   ],
   "source": [
    "genre_labels=sq.sparql_all_lables(list(set_genres))\n",
    "for genre in list(set_genres)[:10]:\n",
    "    print(f\"{genre} -> {genre_labels[genre][0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_genres_count=df_genre.groupby('genre').size().reset_index(name='count')\n",
    "df_genres_count=df_genres_count.sort_values('count', ascending=False)\n",
    "df_genres_count[\"label\"]=df_genres_count[\"genre\"].apply(lambda x: genre_labels[x][0])\n",
    "k=20\n",
    "ax=df_genres_count.head(k).plot(kind='barh', x='label', xlabel='Number of artworks (log)' , ylabel='Genre' ,y='count', figsize=(3,5), legend=False, logx=True)\n",
    "ax.invert_yaxis()\n",
    "ax.set_xticks([1,10,100,1000])\n",
    "ax.set_xticklabels([\"1\",\"10\",\"100\",\"1000\"])\n",
    "plt.savefig(\"figures/genres.pdf\", bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>genre</th>\n",
       "      <th>count</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Q2864737</td>\n",
       "      <td>571</td>\n",
       "      <td>religious art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Q134307</td>\n",
       "      <td>295</td>\n",
       "      <td>portrait</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1047337</td>\n",
       "      <td>121</td>\n",
       "      <td>genre art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Q191163</td>\n",
       "      <td>117</td>\n",
       "      <td>landscape painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>Q3374376</td>\n",
       "      <td>116</td>\n",
       "      <td>mythological painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Q742333</td>\n",
       "      <td>81</td>\n",
       "      <td>history painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>Q40446</td>\n",
       "      <td>68</td>\n",
       "      <td>nude</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Q192110</td>\n",
       "      <td>62</td>\n",
       "      <td>self-portrait</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Q2839016</td>\n",
       "      <td>36</td>\n",
       "      <td>allegory</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Q1551015</td>\n",
       "      <td>23</td>\n",
       "      <td>group portrait</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Q1935974</td>\n",
       "      <td>21</td>\n",
       "      <td>cityscape</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Q158607</td>\n",
       "      <td>20</td>\n",
       "      <td>marine art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Q170571</td>\n",
       "      <td>17</td>\n",
       "      <td>still life</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>Q3399515</td>\n",
       "      <td>13</td>\n",
       "      <td>equestrian portrait</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Q16875712</td>\n",
       "      <td>12</td>\n",
       "      <td>animal art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>Q5448026</td>\n",
       "      <td>10</td>\n",
       "      <td>figure painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>Q3374353</td>\n",
       "      <td>10</td>\n",
       "      <td>battle painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Q2414609</td>\n",
       "      <td>9</td>\n",
       "      <td>religious painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Q166030</td>\n",
       "      <td>8</td>\n",
       "      <td>Veduta</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Q18811686</td>\n",
       "      <td>8</td>\n",
       "      <td>interior view</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        genre  count                  label\n",
       "41   Q2864737    571          religious art\n",
       "12    Q134307    295               portrait\n",
       "0    Q1047337    121              genre art\n",
       "25    Q191163    117     landscape painting\n",
       "47   Q3374376    116  mythological painting\n",
       "61    Q742333     81       history painting\n",
       "54     Q40446     68                   nude\n",
       "26    Q192110     62          self-portrait\n",
       "40   Q2839016     36               allegory\n",
       "14   Q1551015     23         group portrait\n",
       "27   Q1935974     21              cityscape\n",
       "15    Q158607     20             marine art\n",
       "20    Q170571     17             still life\n",
       "48   Q3399515     13    equestrian portrait\n",
       "19  Q16875712     12             animal art\n",
       "56   Q5448026     10        figure painting\n",
       "46   Q3374353     10        battle painting\n",
       "36   Q2414609      9     religious painting\n",
       "18    Q166030      8                 Veduta\n",
       "23  Q18811686      8          interior view"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_genres_count.head(k)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 129 artworks without genre\n"
     ]
    }
   ],
   "source": [
    "unknown_genre_artworks=set(all_qids)-set(df_genre[\"ent\"])\n",
    "print(f\"Total of {len(unknown_genre_artworks)} artworks without genre\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1649\n"
     ]
    },
    {
     "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>ent</th>\n",
       "      <th>creator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1000128</td>\n",
       "      <td>Q483992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q1016012</td>\n",
       "      <td>Q46373</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q1025704</td>\n",
       "      <td>Q5582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q102852946</td>\n",
       "      <td>Q42207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q10322725</td>\n",
       "      <td>Q64633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ent  creator\n",
       "0    Q1000128  Q483992\n",
       "1    Q1016012   Q46373\n",
       "2    Q1025704    Q5582\n",
       "3  Q102852946   Q42207\n",
       "4   Q10322725   Q64633"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_creators=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?ent ?creator  WHERE{\n",
    "VALUES ?ent { %s }\n",
    " ?ent wdt:P170 ?creator.\n",
    "}\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_creator=sq.sparql_pandas_query(sparql_creators)\n",
    "df_creator['ent']=df_creator['ent'].apply(lambda x: x.split('/')[-1])\n",
    "df_creator['creator']=df_creator['creator'].apply(lambda x: x.split('/')[-1])\n",
    "print(len(df_creator))\n",
    "df_creator.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 468 creators\n"
     ]
    }
   ],
   "source": [
    "set_creators=set(df_creator['creator'])\n",
    "print(f\"Total of {len(set_creators)} creators\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Q11996965 -> Ragnhild Keyser\n",
      "Q3509120 -> Giorgio Schiavone\n",
      "_:bn353847 -> \n",
      "Q5581 -> Vittore Carpaccio\n",
      "Q3107021 -> Giovanni Balducci\n",
      "Q186202 -> Giovanni Battista Tiepolo\n",
      "Q5345227 -> Edward Savage\n",
      "_:bn897770 -> \n",
      "Q2978902 -> Clementine Hunter\n",
      "_:bn1416491 -> \n"
     ]
    }
   ],
   "source": [
    "creator_labels=sq.sparql_all_lables(list(set_creators))\n",
    "for creator in list(set_creators)[:10]:\n",
    "    print(f\"{creator} -> {creator_labels[creator][0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_creators_count=df_creator.groupby('creator').size().reset_index(name='count')\n",
    "df_creators_count=df_creators_count.sort_values('count', ascending=False)\n",
    "df_creators_count[\"label\"]=df_creators_count[\"creator\"].apply(lambda x: creator_labels[x][0])\n",
    "k=20\n",
    "ax=df_creators_count.head(k).plot(kind='barh', x='label', ylabel='Artist' ,y='count', figsize=(3,5), xlabel='Number of artworks', legend=False)\n",
    "ax.invert_yaxis()\n",
    "plt.savefig(\"figures/creators.pdf\", bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 1 artworks without creator\n"
     ]
    }
   ],
   "source": [
    "unknown_creator_artworks=set(all_qids)-set(df_creator[\"ent\"])\n",
    "print(f\"Total of {len(unknown_creator_artworks)} artworks without creator\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>ent</th>\n",
       "      <th>date</th>\n",
       "      <th>year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1000128</td>\n",
       "      <td>1890-01-01T00:00:00Z</td>\n",
       "      <td>1890.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q1016012</td>\n",
       "      <td>1871-01-01T00:00:00Z</td>\n",
       "      <td>1871.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q1025704</td>\n",
       "      <td>1888-09-01T00:00:00Z</td>\n",
       "      <td>1888.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q102852946</td>\n",
       "      <td>1700-01-01T00:00:00Z</td>\n",
       "      <td>1700.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q10322725</td>\n",
       "      <td>1869-01-01T00:00:00Z</td>\n",
       "      <td>1869.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ent                  date    year\n",
       "0    Q1000128  1890-01-01T00:00:00Z  1890.0\n",
       "1    Q1016012  1871-01-01T00:00:00Z  1871.0\n",
       "2    Q1025704  1888-09-01T00:00:00Z  1888.0\n",
       "3  Q102852946  1700-01-01T00:00:00Z  1700.0\n",
       "4   Q10322725  1869-01-01T00:00:00Z  1869.0"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_dates=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?ent ?date  WHERE{\n",
    "VALUES ?ent { %s }\n",
    " ?ent wdt:P571 ?date.\n",
    "}\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_date=sq.sparql_pandas_query(sparql_dates)\n",
    "df_date['ent']=df_date['ent'].apply(lambda x: x.split('/')[-1])\n",
    "#parse the dates\n",
    "df_date['year']=df_date['date'].apply(lambda x: x.split('-')[0] if '-' in x else x)\n",
    "df_date['year']=pd.to_numeric(df_date['year'], errors='coerce')\n",
    "df_date.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Tp05p4MCBd/Q+AAAAAFAedoekDz/8ULGxsapatapGjx6t0aNHKyAgQN27d9fy5cvtLsDb21vh4eHWR61atSRJBQUFWrx4sWbOnKlu3bqpXbt2WrJkib766itt377d7vcBAAAAgPKwOyS99dZbmj59ulauXGkNSStXrtTUqVP1pz/9ye4CDh48qIiICDVo0EBDhw7V8ePHJUnZ2dkqLi5WbGysdWyTJk1Ur149ZWVl2f0+AAAAAFAedoekI0eOqE+fPje09+3bV0ePHrXrWO3bt9fSpUuVnp6u+fPn6+jRo3r00Ud14cIF5ebmytfXVyEhITavCQsLU25ubpnHLCoqUmFhoc0DAAAAAMrL7t3tIiMjlZGRoYYNG9q0f/7554qMjLTrWPHx8dY/t2rVSu3bt1dUVJQ++ugjBQQE2FuaJCk1NVWTJ0++o9cCAAAAgN0haezYsRo9erT27Nmjjh07SpK+/PJLLV26VO++++5dFRMSEqIHH3xQhw4d0hNPPKFr164pPz/fZjUpLy9P4eHhZR4jJSVFycnJ1ueFhYV2hzcAAAAA9y67Q9JLL72k8PBwzZgxQx999JEkqWnTplq5cqX69et3V8VcvHhRhw8f1lNPPaV27drJx8dHGRkZSkhIkCTl5OTo+PHjiomJKfMYfn5+8vPzu6s6AAAAANy77A5JkjRgwAANGDDgrt/81VdfVZ8+fRQVFaVTp07pjTfeUJUqVTRkyBAFBwdrxIgRSk5OVmhoqIKCgvTyyy8rJiZGHTp0uOv3BgAAAICbsTskTZo0SY8//rhiYmLk7+9/V29+8uRJDRkyRGfPnlXt2rXVuXNnbd++XbVr15YkzZo1S15eXkpISFBRUZHi4uI0b968u3pPAAAA3J36E9aX2Xdsaq87eh3gSewOSVlZWZo5c6auX7+uRx55RF26dFHXrl3VqVMnuzdbWLFixS37/f39lZaWprS0NHvLBAAAAIA7YvcW4Bs3blR+fr4yMjL061//Wrt27dLAgQMVEhKizp07O6NGAAAAAHCZO7omydvbW506dVLt2rUVGhqq6tWra82aNfrPf/7j6PoAAAAAwKXsXklauHChfvvb3+r+++9Xx44dlZ6ers6dO2vXrl368ccfnVEjAAAAALiM3StJL774omrXrq2xY8dq5MiRCgwMdEZdAAAAAOAWdq8kffLJJxo6dKhWrFih2rVrq2PHjvrDH/6gf/3rX7p8+bIzagQAAAAAl7F7Jal///7q37+/JKmgoEBffPGFVq1apd69e8vLy0tXr151dI0AAAAA4DJ3tHHD2bNnlZmZqS1btmjLli3av3+/atSooUcffdTR9QEAAACAS9kdklq2bKkDBw6oRo0aeuyxx/T888+rS5cuatWqlTPqAwAAAACXuqONG7p06aIWLVo4ox4AAAAAcCu7N244e/asGjRocEP7lStXNGXKFIcUBQAAAADuYndImjx5si5evHhD++XLlzV58mSHFAUAAAAA7mJ3SDIMQxaL5Yb2b775RqGhoQ4pCgAAAADcpdzXJNWoUUMWi0UWi0UPPvigTVAqKSnRxYsX9eKLLzqlSAAAAABwlXKHpNmzZ8swDD377LOaPHmygoODrX2+vr6qX7++YmJinFIkAAAAALhKuUPSsGHDdP36dVksFnXr1k2RkZHOrAsAAAAA3MKua5K8vb310ksvqbS01Fn1AAAAAIBb2b1xw69+9Svt3r3bGbUAAAAAgNvZfTPZkSNHauzYsTp58qTatWunatWq2fS3atXKYcUBAAAAgKvZHZIGDx4sSRo9erS1zWKxWLcGLykpcVx1AAAAAOBidoeko0ePOqMOAAAAAPAIdoekqKgoZ9QBAAAAAB7B7pD0i++++07Hjx/XtWvXbNr79u1710UBAAAAgLvYHZKOHDmiAQMGaO/evdZrkaSfr0uSxDVJAG5Qf8L6MvuOTe3lwkoAAM52q9/5QEVh9xbgr7zyiqKjo3XmzBlVrVpV+/fv19atW/Xwww9ry5YtTigRAAAAAFzH7pWkrKwsbdq0SbVq1ZKXl5e8vLzUuXNnpaamavTo0dxDCQAAAECFZvdKUklJiapXry5JqlWrlk6dOiXp5w0dcnJyHFsdAAAAALiY3StJLVq00DfffKPo6Gi1b99e06dPl6+vrxYuXKgGDRo4o0YAAAAAcBm7Q9Lrr7+uS5cuSZKmTJmi3r1769FHH1XNmjW1cuVKhxcIoHLjAl8AAOBp7A5JcXFx1j83bNhQ//nPf3Tu3DnVqFHDusMdAAAAAFRUd3yfJLPQ0FBHHAYAAAAA3M7ujRsAAAAAoDJzyEoSAFQk3NwWAADcCitJAAAAAGBSrpDUtm1bnT9/XtLPO9pdvnzZqUUBAAAAgLuUKyQdOHDAuu335MmTdfHiRacWBQAAAADuUq5rktq0aaPhw4erc+fOMgxDf/nLXxQYGHjTsZMmTXJogQAAAADgSuVaSVq6dKlq1qypdevWyWKx6LPPPtPq1atveKxZs+aOC5k6daosFovGjBljbbt69aoSExNVs2ZNBQYGKiEhQXl5eXf8HgAAAABwO+VaSWrcuLFWrFghSfLy8lJGRobq1KnjsCJ27typ9957T61atbJpT0pK0vr167Vq1SoFBwdr1KhRGjhwoL788kuHvTcAAAAAmNm9u11paalDA9LFixc1dOhQLVq0SDVq1LC2FxQUaPHixZo5c6a6deumdu3aacmSJfrqq6+0fft2h70/AAAAAJjd0Rbghw8f1ssvv6zY2FjFxsZq9OjROnz48B0VkJiYqF69eik2NtamPTs7W8XFxTbtTZo0Ub169ZSVlXVH7wUAAAAAt2P3zWQ3bNigvn37qk2bNurUqZMk6csvv1Tz5s21du1aPfHEE+U+1ooVK/T1119r586dN/Tl5ubK19dXISEhNu1hYWHKzc0t85hFRUUqKiqyPi8sLCx3PQAAAABgd0iaMGGCkpKSNHXq1BvaX3vttXKHpBMnTuiVV17Rxo0b5e/vb28ZZUpNTdXkyZMddjwAAAC4V/0J68vsOza1lwsrwb3C7tPtDhw4oBEjRtzQ/uyzz+q7774r93Gys7N15swZtW3bVt7e3vL29lZmZqbmzJkjb29vhYWF6dq1a8rPz7d5XV5ensLDw8s8bkpKigoKCqyPEydOlLsmAAAAALB7Jal27dras2ePGjVqZNO+Z88euzZ06N69u/bu3WvTNnz4cDVp0kSvvfaaIiMj5ePjo4yMDCUkJEiScnJydPz4ccXExJR5XD8/P/n5+dnxiQAAAADg/7M7JD3//PN64YUXdOTIEXXs2FHSz9ckTZs2TcnJyeU+TvXq1dWiRQubtmrVqqlmzZrW9hEjRig5OVmhoaEKCgrSyy+/rJiYGHXo0MHesgEAAACgXOwOSRMnTlT16tU1Y8YMpaSkSJIiIiL05ptvavTo0Q4tbtasWfLy8lJCQoKKiooUFxenefPmOfQ9AACe51bXHwAA4Gx2hySLxaKkpCQlJSXpwoULkn5eFXKELVu22Dz39/dXWlqa0tLSHHJ8AAAAALgdu0OSmaPCEQAAAAB4iju6mSwAAAAAVFaEJAAAAAAwISQBAAAAgIldIam4uFjdu3fXwYMHnVUPAAAAALiVXSHJx8dH3377rbNqAQAAAAC3s/t0u9/97ndavHixM2oBAAAAALezewvw69ev6/3339fnn3+udu3aqVq1ajb9M2fOdFhxAAAAAOBqdoekffv2qW3btpKk77//3qbPYrE4pioAAACgHOpPWF9m37GpvVxYCSoTu0PS5s2bnVEHAAAAAHiEO94C/NChQ9qwYYOuXLkiSTIMw2FFAQAAAIC72B2Szp49q+7du+vBBx/Ur3/9a50+fVqSNGLECI0dO9bhBQIAAACAK9l9ul1SUpJ8fHx0/PhxNW3a1No+aNAgJScna8aMGQ4tEADgfpzzDwC4l9gdkv71r39pw4YNqlu3rk17o0aN9MMPPzisMAAAAABwB7tPt7t06ZKqVq16Q/u5c+fk5+fnkKIAAAAAwF3sDkmPPvqoPvjgA+tzi8Wi0tJSTZ8+XY8//rhDiwMAAAAAV7P7dLvp06ere/fu2rVrl65du6bx48dr//79OnfunL788ktn1AgAAAAALmP3SlKLFi30/fffq3PnzurXr58uXbqkgQMHavfu3XrggQecUSMAAAAAuIzdK0mSFBwcrD/+8Y+OrgUAAAAA3O6OQtL58+e1ePFiHThwQJLUrFkzDR8+XKGhoQ4tDgAAAABcze7T7bZu3ar69etrzpw5On/+vM6fP685c+YoOjpaW7dudUaNAAAAAOAydq8kJSYmatCgQZo/f76qVKkiSSopKdHIkSOVmJiovXv3OrxIAAAAAHAVu0PSoUOH9I9//MMakCSpSpUqSk5OttkaHAAAAHCn+hPWl9l3bGovF1aCisbu0+3atm1rvRbJ7MCBA2rdurVDigIAAAAAdynXStK3335r/fPo0aP1yiuv6NChQ+rQoYMkafv27UpLS9PUqVOdUyUAAAAAuEi5QlKbNm1ksVhkGIa1bfz48TeM++1vf6tBgwY5rjoAAAAAcLFyhaSjR486uw4AAAAA8AjlCklRUVHOrgMAAKfiAm4AQHnd0c1kT506pW3btunMmTMqLS216Rs9erRDCgMAAAAAd7A7JC1dulS///3v5evrq5o1a8pisVj7LBYLIQkAAABAhWZ3SJo4caImTZqklJQUeXnZvYM4AAAAAHg0u1PO5cuXNXjwYAISAAAAgErJ7qQzYsQIrVq1yhm1AAAAAIDb2X26XWpqqnr37q309HS1bNlSPj4+Nv0zZ850WHEAAAAA4Gp3FJI2bNigxo0bS9INGzcAAAAAQEVmd0iaMWOG3n//fT3zzDNOKAcAAAAA3MvukOTn56dOnTo55M3nz5+v+fPn69ixY5Kk5s2ba9KkSYqPj5ckXb16VWPHjtWKFStUVFSkuLg4zZs3T2FhYQ55fwD4X9xwFMC9hN95wM3ZvXHDK6+8orlz5zrkzevWraupU6cqOztbu3btUrdu3dSvXz/t379fkpSUlKS1a9dq1apVyszM1KlTpzRw4ECHvDcAAAAA3IzdK0n//ve/tWnTJq1bt07Nmze/YeOGTz75pNzH6tOnj83zt956S/Pnz9f27dtVt25dLV68WMuXL1e3bt0kSUuWLFHTpk21fft2dejQwd7SAQAAAOC27A5JISEhTlnNKSkp0apVq3Tp0iXFxMQoOztbxcXFio2NtY5p0qSJ6tWrp6ysLEISAAAAAKewOyQtWbLEoQXs3btXMTExunr1qgIDA7V69Wo1a9ZMe/bska+vr0JCQmzGh4WFKTc3t8zjFRUVqaioyPq8sLDQofUCAAAAqNzsDkmO1rhxY+3Zs0cFBQX6xz/+oWHDhikzM/OOj5eamqrJkyc7sEIAwJ2qKBeFV5Q6AQCuYXdIio6OvuX9kI4cOWLX8Xx9fdWwYUNJUrt27bRz5069++67GjRokK5du6b8/Hyb1aS8vDyFh4eXebyUlBQlJydbnxcWFioyMtKumgAAAADcu+wOSWPGjLF5XlxcrN27dys9PV3jxo2764JKS0tVVFSkdu3aycfHRxkZGUpISJAk5eTk6Pjx44qJiSnz9X5+fvLz87vrOgAAAADcm+wOSa+88spN29PS0rRr1y67jpWSkqL4+HjVq1dPFy5c0PLly7VlyxZt2LBBwcHBGjFihJKTkxUaGqqgoCC9/PLLiomJYdMGAAAAAE5j932SyhIfH6+PP/7YrtecOXNGTz/9tBo3bqzu3btr586d2rBhg5544glJ0qxZs9S7d28lJCToscceU3h4uF1bjAMAAACAvRy2ccM//vEPhYaG2vWaxYsX37Lf399faWlpSktLu5vSAAAAAKDc7A5JDz30kM3GDYZhKDc3Vz/++KPmzZvn0OIAAAAAwNXsDkn9+/e3ee7l5aXatWura9euatKkiaPqAgAAAAC3sDskvfHGG86oAwAAAAA8gttvJgsAAIBb39RY4sbGgCuVOyR5eXnd8iaykmSxWHT9+vW7LgoAAAAA3KXcIWn16tVl9mVlZWnOnDkqLS11SFEAAAAA4C7lDkn9+vW7oS0nJ0cTJkzQ2rVrNXToUE2ZMsWhxQEAAACAq93RzWRPnTql559/Xi1bttT169e1Z88eLVu2TFFRUY6uDwAAAABcyq6NGwoKCvT2229r7ty5atOmjTIyMvToo486qzYAQAVwu4vNgXvNrb4TbL4AVAzlDknTp0/XtGnTFB4err///e83Pf0OAAAAACq6coekCRMmKCAgQA0bNtSyZcu0bNmym4775JNPHFYcAAAAALhauUPS008/fdstwAEAAACgoit3SFq6dKkTywAAAAAAz2DXxg0A7m1cjAxPxyYSAABHuKMtwAEAAACgsiIkAQAAAIAJIQkAAAAATLgmCQDgFlw/BHg2vqO4l7GSBAAAAAAmhCQAAAAAMCEkAQAAAIAJIQkAAAAATAhJAAAAAGBCSAIAAAAAE0ISAAAAAJgQkgAAAADAhJAEAAAAACbe7i4AgHPc6k7px6b2cun73Qtc/fMGAADOw0oSAAAAAJgQkgAAAADAhJAEAAAAACZckwQA5XSvX3d1r7rdvHPNGQBUPqwkAQAAAIAJIQkAAAAATAhJAAAAAGBCSAIAAAAAE7eGpNTUVD3yyCOqXr266tSpo/79+ysnJ8dmzNWrV5WYmKiaNWsqMDBQCQkJysvLc1PFAAAAACo7t4akzMxMJSYmavv27dq4caOKi4vVo0cPXbp0yTomKSlJa9eu1apVq5SZmalTp05p4MCBbqwaAAAAQGXm1i3A09PTbZ4vXbpUderUUXZ2th577DEVFBRo8eLFWr58ubp16yZJWrJkiZo2bart27erQ4cO7igbAAAAQCXmUdckFRQUSJJCQ0MlSdnZ2SouLlZsbKx1TJMmTVSvXj1lZWW5pUYAAAAAlZvH3Ey2tLRUY8aMUadOndSiRQtJUm5urnx9fRUSEmIzNiwsTLm5uTc9TlFRkYqKiqzPCwsLnVYzAAAAgMrHY0JSYmKi9u3bp23btt3VcVJTUzV58mQHVQW4X/0J68vsOza1l0vfDwDuJa7+/QvAc3jE6XajRo3SunXrtHnzZtWtW9faHh4ermvXrik/P99mfF5ensLDw296rJSUFBUUFFgfJ06ccGbpAAAAACoZt4YkwzA0atQorV69Wps2bVJ0dLRNf7t27eTj46OMjAxrW05Ojo4fP66YmJibHtPPz09BQUE2DwAAAAAoL7eebpeYmKjly5frn//8p6pXr269zig4OFgBAQEKDg7WiBEjlJycrNDQUAUFBenll19WTEwMO9sBAAAAcAq3hqT58+dLkrp27WrTvmTJEj3zzDOSpFmzZsnLy0sJCQkqKipSXFyc5s2b5+JKAc/E9UMAcHcq0u9RrpECXMetIckwjNuO8ff3V1pamtLS0lxQEQAAAIB7nUds3AAAAAAAnoKQBAAAAAAmhCQAAAAAMPGYm8kCAGxxkTYAR6hIm1MAnoKVJAAAAAAwISQBAAAAgAkhCQAAAABMCEkAAAAAYEJIAgAAAAATQhIAAAAAmBCSAAAAAMCEkAQAAAAAJoQkAAAAADDxdncBAFDZ3epu98em9nJhJQDc7Va/DwB4DlaSAAAAAMCEkAQAAAAAJoQkAAAAADAhJAEAAACACSEJAAAAAEwISQAAAABgQkgCAAAAABNCEgAAAACYcDNZAABQ4XHTZgCOxEoSAAAAAJgQkgAAAADAhJAEAAAAACaEJAAAAAAwYeMGAKhkuIAdsHWr70RlcS98RsCVWEkCAAAAABNCEgAAAACYEJIAAAAAwIRrkgAAkrimAQDuFteEVh6sJAEAAACACSEJAAAAAEwISQAAAABgQkgCAAAAABO3btywdetWvfPOO8rOztbp06e1evVq9e/f39pvGIbeeOMNLVq0SPn5+erUqZPmz5+vRo0aua9oAPAAbLIAAIDzuHUl6dKlS2rdurXS0tJu2j99+nTNmTNHCxYs0I4dO1StWjXFxcXp6tWrLq4UAAAAwL3CrStJ8fHxio+Pv2mfYRiaPXu2Xn/9dfXr10+S9MEHHygsLExr1qzR4MGDXVkqAAAAgHuEx16TdPToUeXm5io2NtbaFhwcrPbt2ysrK8uNlQEAAACozDz2ZrK5ubmSpLCwMJv2sLAwa9/NFBUVqaioyPq8sLDQOQUCAAAAqJQ8NiTdqdTUVE2ePNndZQAAgEqMzVMqvlvN4bGpvVxYya1VlDorG4893S48PFySlJeXZ9Oel5dn7buZlJQUFRQUWB8nTpxwap0AAAAAKhePDUnR0dEKDw9XRkaGta2wsFA7duxQTExMma/z8/NTUFCQzQMAAAAAysutp9tdvHhRhw4dsj4/evSo9uzZo9DQUNWrV09jxozRn//8ZzVq1EjR0dGaOHGiIiIibO6lBAAAAACO5NaQtGvXLj3++OPW58nJyZKkYcOGaenSpRo/frwuXbqkF154Qfn5+ercubPS09Pl7+/vrpKBSoFz6T0Hc1Hxcb0AcG9xxu9t/i7wPG4NSV27dpVhGGX2WywWTZkyRVOmTHFhVQAAAADuZR57TRIAAAAAuAMhCQAAAABMCEkAAAAAYFLpbiYLAAAqLjbCQGXF5gwVCytJAAAAAGBCSAIAAAAAE0ISAAAAAJgQkgAAAADAhI0bABfhYmQAACoGNlkAK0kAAAAAYEJIAgAAAAATQhIAAAAAmBCSAAAAAMCEjRsAD8AFogBwe/yuBOAqrCQBAAAAgAkhCQAAAABMCEkAAAAAYMI1SQAA3OOccbNrrh8CnI8b1TsPK0kAAAAAYEJIAgAAAAATQhIAAAAAmBCSAAAAAMCEjRsA4B7CxfRwJP57Aiqm23132fSBlSQAAAAAsEFIAgAAAAATQhIAAAAAmBCSAAAAAMCEjRsAAHCSW10cfacXRt/pMe90kwU2ZwDuPc743VXRsJIEAAAAACaEJAAAAAAwISQBAAAAgAnXJFUQzjgn3Bnnrt8r56mWhXP3AQBAZXavXK/EShIAAAAAmBCSAAAAAMCEkAQAAAAAJoQkAAAAADCxGIZhuLuI20lLS9M777yj3NxctW7dWnPnztWvfvWrcr22sLBQwcHBKigoUFBQkJMrvT1X3wTQ1SrTBXtlqShzAaDiqgx/HwCAmaf8G7G82cDjV5JWrlyp5ORkvfHGG/r666/VunVrxcXF6cyZM+4uDQAAAEAl5PEhaebMmXr++ec1fPhwNWvWTAsWLFDVqlX1/vvvu7s0AAAAAJWQR4eka9euKTs7W7GxsdY2Ly8vxcbGKisry42VAQAAAKisPPpmsj/99JNKSkoUFhZm0x4WFqb//Oc/N31NUVGRioqKrM8LCgok/Xz+oScoLbpcZt+tarzV6zyJp/ycnamizAWAiqsy/H0AAGae8m/EX+q43bYMHh2S7kRqaqomT558Q3tkZKQbqrFP8Gx3V3D3KsNnAAB343cpgMrG036vXbhwQcHBwWX2e3RIqlWrlqpUqaK8vDyb9ry8PIWHh9/0NSkpKUpOTrY+Ly0t1blz51SzZk1ZLBan1utMhYWFioyM1IkTJzxil757FfPgGZgH92MOPAPz4BmYB8/APHgGT58HwzB04cIFRURE3HKcR4ckX19ftWvXThkZGerfv7+kn0NPRkaGRo0addPX+Pn5yc/Pz6YtJCTEyZW6TlBQkEf+B3evYR48A/PgfsyBZ2AePAPz4BmYB8/gyfNwqxWkX3h0SJKk5ORkDRs2TA8//LB+9atfafbs2bp06ZKGDx/u7tIAAAAAVEIeH5IGDRqkH3/8UZMmTVJubq7atGmj9PT0GzZzAAAAAABH8PiQJEmjRo0q8/S6e4Wfn5/eeOONG04lhGsxD56BeXA/5sAzMA+egXnwDMyDZ6gs82Axbrf/HQAAAADcQzz6ZrIAAAAA4GqEJAAAAAAwISQBAAAAgAkhCQAAAABMCEkutHXrVvXp00cRERGyWCxas2aNTf+bb76pJk2aqFq1aqpRo4ZiY2O1Y8cOmzHnzp3T0KFDFRQUpJCQEI0YMUIXL160GfPtt9/q0Ucflb+/vyIjIzV9+nRnf7QK5XbzYPbiiy/KYrFo9uzZNu3Mw9273Tw888wzslgsNo+ePXvajGEe7k55vgsHDhxQ3759FRwcrGrVqumRRx7R8ePHrf1Xr15VYmKiatasqcDAQCUkJCgvL8/mGMePH1evXr1UtWpV1alTR+PGjdP169ed/fEqjNvNw/9+D355vPPOO9YxfBfu3u3m4eLFixo1apTq1q2rgIAANWvWTAsWLLAZw/fh7t1uHvLy8vTMM88oIiJCVatWVc+ePXXw4EGbMczD3UlNTdUjjzyi6tWrq06dOurfv79ycnJsxjjqZ7xlyxa1bdtWfn5+atiwoZYuXersj1duhCQXunTpklq3bq20tLSb9j/44IP661//qr1792rbtm2qX7++evTooR9//NE6ZujQodq/f782btyodevWaevWrXrhhRes/YWFherRo4eioqKUnZ2td955R2+++aYWLlzo9M9XUdxuHn6xevVqbd++XRERETf0MQ93rzzz0LNnT50+fdr6+Pvf/27TzzzcndvNweHDh9W5c2c1adJEW7Zs0bfffquJEyfK39/fOiYpKUlr167VqlWrlJmZqVOnTmngwIHW/pKSEvXq1UvXrl3TV199pWXLlmnp0qWaNGmS0z9fRXG7eTB/B06fPq33339fFotFCQkJ1jF8F+7e7eYhOTlZ6enp+vDDD3XgwAGNGTNGo0aN0qeffmodw/fh7t1qHgzDUP/+/XXkyBH985//1O7duxUVFaXY2FhdunTJOo55uDuZmZlKTEzU9u3btXHjRhUXF6tHjx4O/xkfPXpUvXr10uOPP649e/ZozJgxeu6557RhwwaXft4yGXALScbq1atvOaagoMCQZHz++eeGYRjGd999Z0gydu7caR3z2WefGRaLxfjvf/9rGIZhzJs3z6hRo4ZRVFRkHfPaa68ZjRs3dvyHqATKmoeTJ08a999/v7Fv3z4jKirKmDVrlrWPeXC8m83DsGHDjH79+pX5GubBsW42B4MGDTJ+97vflfma/Px8w8fHx1i1apW17cCBA4YkIysryzAMw/i///s/w8vLy8jNzbWOmT9/vhEUFGQzL/hZef5u6Nevn9GtWzfrc74LjnezeWjevLkxZcoUm7a2bdsaf/zjHw3D4PvgDP87Dzk5OYYkY9++fda2kpISo3bt2saiRYsMw2AenOHMmTOGJCMzM9MwDMf9jMePH280b97c5r0GDRpkxMXFOfsjlQsrSR7q2rVrWrhwoYKDg9W6dWtJUlZWlkJCQvTwww9bx8XGxsrLy8t6Wl5WVpYee+wx+fr6WsfExcUpJydH58+fd+2HqKBKS0v11FNPady4cWrevPkN/cyD62zZskV16tRR48aN9dJLL+ns2bPWPubBuUpLS7V+/Xo9+OCDiouLU506ddS+fXubU1+ys7NVXFys2NhYa1uTJk1Ur149ZWVlSfp5Dlq2bKmwsDDrmLi4OBUWFmr//v0u+zyVRV5entavX68RI0ZY2/guuEbHjh316aef6r///a8Mw9DmzZv1/fffq0ePHpL4PrhCUVGRJNmsZnt5ecnPz0/btm2TxDw4Q0FBgSQpNDRUkuN+xllZWTbH+GXML8dwN0KSh1m3bp0CAwPl7++vWbNmaePGjapVq5YkKTc3V3Xq1LEZ7+3trdDQUOXm5lrHmP+DlGR9/ssY3Nq0adPk7e2t0aNH37SfeXCNnj176oMPPlBGRoamTZumzMxMxcfHq6SkRBLz4GxnzpzRxYsXNXXqVPXs2VP/+te/NGDAAA0cOFCZmZmSfv4Z+vr6KiQkxOa1YWFhzIGTLFu2TNWrV7c5rYXvgmvMnTtXzZo1U926deXr66uePXsqLS1Njz32mCS+D67wyz/EU1JSdP78eV27dk3Tpk3TyZMndfr0aUnMg6OVlpZqzJgx6tSpk1q0aCHJcT/jssYUFhbqypUrzvg4dvF2dwGw9ct5mT/99JMWLVqkJ598Ujt27LjhL0A4R3Z2tt599119/fXXslgs7i7nnjZ48GDrn1u2bKlWrVrpgQce0JYtW9S9e3c3VnZvKC0tlST169dPSUlJkqQ2bdroq6++0oIFC9SlSxd3lnfPev/99zV06FCb/5MO15g7d662b9+uTz/9VFFRUdq6dasSExMVERFxw/8Nh3P4+Pjok08+0YgRIxQaGqoqVaooNjZW8fHxMgzD3eVVSomJidq3b591pe5ewkqSh6lWrZoaNmyoDh06aPHixfL29tbixYslSeHh4Tpz5ozN+OvXr+vcuXMKDw+3jvnf3UV+ef7LGJTtiy++0JkzZ1SvXj15e3vL29tbP/zwg8aOHav69etLYh7cpUGDBqpVq5YOHTokiXlwtlq1asnb21vNmjWzaW/atKl1d7vw8HBdu3ZN+fn5NmPy8vKYAyf44osvlJOTo+eee86mne+C8125ckV/+MMfNHPmTPXp00etWrXSqFGjNGjQIP3lL3+RxPfBVdq1a6c9e/YoPz9fp0+fVnp6us6ePasGDRpIYh4cadSoUVq3bp02b96sunXrWtsd9TMua0xQUJACAgIc/XHsRkjycKWlpdZzcGNiYpSfn6/s7Gxr/6ZNm1RaWqr27dtbx2zdulXFxcXWMRs3blTjxo1Vo0YN1xZfAT311FP69ttvtWfPHusjIiJC48aNs+62wjy4x8mTJ3X27Fndd999kpgHZ/P19dUjjzxyw7av33//vaKioiT9/I8VHx8fZWRkWPtzcnJ0/PhxxcTESPp5Dvbu3Wvzj/iNGzcqKCjohgCGW1u8eLHatWtnvU71F3wXnK+4uFjFxcXy8rL9Z1OVKlWsq658H1wrODhYtWvX1sGDB7Vr1y7169dPEvPgCIZhaNSoUVq9erU2bdqk6Ohom35H/YxjYmJsjvHLmF+O4XZu3jjinnLhwgVj9+7dxu7duw1JxsyZM43du3cbP/zwg3Hx4kUjJSXFyMrKMo4dO2bs2rXLGD58uOHn52ezi0vPnj2Nhx56yNixY4exbds2o1GjRsaQIUOs/fn5+UZYWJjx1FNPGfv27TNWrFhhVK1a1Xjvvffc8ZE90q3m4Wb+d3c7w2AeHOFW83DhwgXj1VdfNbKysoyjR48an3/+udG2bVujUaNGxtWrV63HYB7uzu2+C5988onh4+NjLFy40Dh48KAxd+5co0qVKsYXX3xhPcaLL75o1KtXz9i0aZOxa9cuIyYmxoiJibH2X79+3WjRooXRo0cPY8+ePUZ6erpRu3ZtIyUlxeWf11OV53dSQUGBUbVqVWP+/Pk3PQbfhbt3u3no0qWL0bx5c2Pz5s3GkSNHjCVLlhj+/v7GvHnzrMfg+3D3bjcPH330kbF582bj8OHDxpo1a4yoqChj4MCBNsdgHu7OSy+9ZAQHBxtbtmwxTp8+bX1cvnzZOsYRP+MjR44YVatWNcaNG2ccOHDASEtLM6pUqWKkp6e79POWhZDkQps3bzYk3fAYNmyYceXKFWPAgAFGRESE4evra9x3331G3759jX//+982xzh79qwxZMgQIzAw0AgKCjKGDx9uXLhwwWbMN998Y3Tu3Nnw8/Mz7r//fmPq1Kmu/Jge71bzcDM3C0nMw9271TxcvnzZ6NGjh1G7dm3Dx8fHiIqKMp5//nmbrUQNg3m4W+X5LixevNho2LCh4e/vb7Ru3dpYs2aNzTGuXLlijBw50qhRo4ZRtWpVY8CAAcbp06dtxhw7dsyIj483AgICjFq1ahljx441iouLXfERK4TyzMN7771nBAQEGPn5+Tc9Bt+Fu3e7eTh9+rTxzDPPGBEREYa/v7/RuHFjY8aMGUZpaan1GHwf7t7t5uHdd9816tata/j4+Bj16tUzXn/99Ru27WYe7s7Nfv6SjCVLlljHOOpnvHnzZqNNmzaGr6+v0aBBA5v3cDeLYXClGwAAAAD8gmuSAAAAAMCEkAQAAAAAJoQkAAAAADAhJAEAAACACSEJAAAAAEwISQAAAABgQkgCAAAAABNCEgAAAACYEJIAABWKYRiKjY1VXFzcDX3z5s1TSEiITp486YbKAACVBSEJAFChWCwWLVmyRDt27NB7771nbT969KjGjx+vuXPnqm7dug59z+LiYoceDwDg2QhJAIAKJzIyUu+++65effVVHT16VIZhaMSIEerRo4ceeughxcfHKzAwUGFhYXrqqaf0008/WV+bnp6uzp07KyQkRDVr1lTv3r11+PBha/+xY8dksVi0cuVKdenSRf7+/vrb3/7mjo8JAHATi2EYhruLAADgTvTv318FBQUaOHCg/vSnP2n//v1q3ry5nnvuOT399NO6cuWKXnvtNV2/fl2bNm2SJH388ceyWCxq1aqVLl68qEmTJunYsWPas2ePvLy8dOzYMUVHR6t+/fqaMWOGHnroIfn7++u+++5z86cFALgKIQkAUGGdOXNGzZs317lz5/Txxx9r3759+uKLL7RhwwbrmJMnTyoyMlI5OTl68MEHbzjGTz/9pNq1a2vv3r1q0aKFNSTNnj1br7zyiis/DgDAQ3C6HQCgwqpTp45+//vfq2nTpurfv7+++eYbbd68WYGBgdZHkyZNJMl6St3Bgwc1ZMgQNWjQQEFBQapfv74k6fjx4zbHfvjhh136WQAAnsPb3QUAAHA3vL295e39819nFy9eVJ8+fTRt2rQbxv1yulyfPn0UFRWlRYsWKSIiQqWlpWrRooWuXbtmM75atWrOLx4A4JEISQCASqNt27b6+OOPVb9+fWtwMjt79qxycnK0aNEiPfroo5Kkbdu2ubpMAICH43Q7AEClkZiYqHPnzmnIkCHauXOnDh8+rA0bNmj48OEqKSlRjRo1VLNmTS1cuFCHDh3Spk2blJyc7O6yAQAehpAEAKg0IiIi9OWXX6qkpEQ9evRQy5YtNWbMGIWEhMjLy0teXl5asWKFsrOz1aJFCyUlJemdd95xd9kAAA/D7nYAAAAAYMJKEgAAAACYEJIAAAAAwISQBAAAAAAmhCQAAAAAMCEkAQAAAIAJIQkAAAAATAhJAAAAAGBCSAIAAAAAE0ISAAAAAJgQkgAAAADAhJAEAAAAACaEJAAAAAAw+X9yTEgq9HyiDwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_date['year'].plot(kind='hist', bins=100, figsize=(10,5))\n",
    "plt.xlabel('Year')\n",
    "plt.ylabel('Number of artworks')\n",
    "plt.savefig(\"figures/dates.pdf\", bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total of 2 artworks without date\n"
     ]
    }
   ],
   "source": [
    "unknown_date=df_date[df_date['year'].isna()]\n",
    "print(f\"Total of {len(unknown_date)} artworks without date\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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>gender</th>\n",
       "      <th>cant</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>http://www.wikidata.org/entity/Q12964198</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>http://www.wikidata.org/entity/Q48270</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>http://www.wikidata.org/entity/Q6581072</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>http://www.wikidata.org/entity/Q6581097</td>\n",
       "      <td>413</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                     gender  cant\n",
       "0                                       NaN    28\n",
       "1  http://www.wikidata.org/entity/Q12964198     1\n",
       "2     http://www.wikidata.org/entity/Q48270     1\n",
       "3   http://www.wikidata.org/entity/Q6581072    27\n",
       "4   http://www.wikidata.org/entity/Q6581097   413"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_creator_gender=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?gender (COUNT(DISTINCT ?artist) as ?cant) WHERE{ \n",
    "    VALUES ?ent { %s }\n",
    "    ?ent wdt:P170 ?artist.\n",
    "    OPTIONAL {?artist wdt:P21 ?gender.}\n",
    "}\n",
    "GROUP BY ?gender\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_genders=sq.sparql_pandas_query(sparql_creator_gender)\n",
    "df_genders.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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>gender</th>\n",
       "      <th>cant</th>\n",
       "      <th>label</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>28</td>\n",
       "      <td>Unknown</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q12964198</td>\n",
       "      <td>1</td>\n",
       "      <td>genderqueer</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q48270</td>\n",
       "      <td>1</td>\n",
       "      <td>non-binary</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q6581072</td>\n",
       "      <td>27</td>\n",
       "      <td>female</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q6581097</td>\n",
       "      <td>413</td>\n",
       "      <td>male</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      gender  cant        label\n",
       "0    Unknown    28      Unknown\n",
       "1  Q12964198     1  genderqueer\n",
       "2     Q48270     1   non-binary\n",
       "3   Q6581072    27       female\n",
       "4   Q6581097   413         male"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_genders['gender']=df_genders['gender'].apply(lambda x: x.split('/')[-1] if (isinstance(x,str) and x.startswith('http')) else \"Unknown\")\n",
    "gender_labels=sq.sparql_all_lables(list(df_genders['gender']))\n",
    "gender_labels[\"Unknown\"]=[\"Unknown\"]\n",
    "df_genders[\"label\"]=df_genders[\"gender\"].apply(lambda x: gender_labels.get(x, [\"Unknown\"])[0])\n",
    "df_genders.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>country</th>\n",
       "      <th>cant_paintings</th>\n",
       "      <th>cant_artists</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q142</td>\n",
       "      <td>259</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q4948</td>\n",
       "      <td>217</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Unknown</td>\n",
       "      <td>143</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q170072</td>\n",
       "      <td>107</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q30</td>\n",
       "      <td>103</td>\n",
       "      <td>49</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   country  cant_paintings  cant_artists\n",
       "0     Q142             259            73\n",
       "1    Q4948             217            23\n",
       "2  Unknown             143            59\n",
       "3  Q170072             107            27\n",
       "4      Q30             103            49"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sparql_creator_nationality=\"\"\"\n",
    "PREFIX wd: <http://www.wikidata.org/entity/>\n",
    "PREFIX wdt: <http://www.wikidata.org/prop/direct/>\n",
    "SELECT ?country\n",
    "(COUNT(DISTINCT ?ent) as ?cant_paintings) (COUNT(DISTINCT ?artist) as ?cant_artists) WHERE{ \n",
    "    VALUES ?ent { %s }\n",
    "    ?ent wdt:P170 ?artist.\n",
    "    OPTIONAL {?artist wdt:P27 ?country.}\n",
    "}\n",
    "GROUP BY ?country\n",
    "ORDER BY DESC(?cant_paintings)\n",
    "\"\"\" % \" \".join([f\"wd:{qid}\" for qid in all_qids])\n",
    "df_nationalities=sq.sparql_pandas_query(sparql_creator_nationality)\n",
    "df_nationalities['country']=df_nationalities['country'].apply(lambda x: x.split('/')[-1] if (isinstance(x,str) and x.startswith('http')) else \"Unknown\")\n",
    "df_nationalities.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 300x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "country_labels=sq.sparql_all_lables(list(df_nationalities['country']))\n",
    "country_labels[\"Unknown\"]=[\"Unknown\"]\n",
    "df_nationalities[\"label\"]=df_nationalities[\"country\"].apply(lambda x: country_labels.get(x, [\"Unknown\"])[0])\n",
    "k=20\n",
    "ax=df_nationalities.head(k).plot(kind='barh', x='label', ylabel='Country' ,y='cant_paintings', figsize=(3,5), xlabel='Number of artworks', legend=False)\n",
    "ax.invert_yaxis()\n",
    "plt.savefig(\"figures/nationalities.pdf\", bbox_inches='tight', format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'Number of artists per nationality'}, xlabel='Country'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 2000x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_nationalities.sort_values('cant_artists', ascending=False).plot(kind='bar', x='label', xlabel='Country' ,y='cant_artists', figsize=(20,10), title='Number of artists per nationality', legend=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>ent</th>\n",
       "      <th>movement</th>\n",
       "      <th>creator</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Q1000128</td>\n",
       "      <td>Q189458</td>\n",
       "      <td>Q483992</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Q1025704</td>\n",
       "      <td>Q166713</td>\n",
       "      <td>Q5582</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Q102852946</td>\n",
       "      <td>Q6076361</td>\n",
       "      <td>Q42207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Q10468599</td>\n",
       "      <td>Q166713</td>\n",
       "      <td>Q1132040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Q1065493</td>\n",
       "      <td>Q184814</td>\n",
       "      <td>Q159606</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          ent  movement   creator\n",
       "0    Q1000128   Q189458   Q483992\n",
       "1    Q1025704   Q166713     Q5582\n",
       "2  Q102852946  Q6076361    Q42207\n",
       "3   Q10468599   Q166713  Q1132040\n",
       "4    Q1065493   Q184814   Q159606"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_movements_creators=df_movement.merge(df_creator, left_on='ent', right_on='ent')\n",
    "df_movements_creators.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "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>movement</th>\n",
       "      <th>creator</th>\n",
       "      <th>count</th>\n",
       "      <th>label_creator</th>\n",
       "      <th>label_movement</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>264</th>\n",
       "      <td>Q610687</td>\n",
       "      <td>Q47551</td>\n",
       "      <td>52</td>\n",
       "      <td>Titian</td>\n",
       "      <td>Venetian school</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Q2352880</td>\n",
       "      <td>Q5598</td>\n",
       "      <td>36</td>\n",
       "      <td>Rembrandt</td>\n",
       "      <td>Dutch Golden Age painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Q1404472</td>\n",
       "      <td>Q5827</td>\n",
       "      <td>33</td>\n",
       "      <td>Pietro Perugino</td>\n",
       "      <td>Italian Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q5597</td>\n",
       "      <td>33</td>\n",
       "      <td>Raphael</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>Q37853</td>\n",
       "      <td>Q42207</td>\n",
       "      <td>27</td>\n",
       "      <td>Caravaggio</td>\n",
       "      <td>Baroque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q47551</td>\n",
       "      <td>23</td>\n",
       "      <td>Titian</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Q14378</td>\n",
       "      <td>Q23380</td>\n",
       "      <td>20</td>\n",
       "      <td>Jean-Auguste-Dominique Ingres</td>\n",
       "      <td>neoclassicism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>Q1472236</td>\n",
       "      <td>Q5669</td>\n",
       "      <td>19</td>\n",
       "      <td>Sandro Botticelli</td>\n",
       "      <td>Early Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>Q14378</td>\n",
       "      <td>Q83155</td>\n",
       "      <td>18</td>\n",
       "      <td>Jacques-Louis David</td>\n",
       "      <td>neoclassicism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>Q2455000</td>\n",
       "      <td>Q5580</td>\n",
       "      <td>17</td>\n",
       "      <td>Albrecht Dürer</td>\n",
       "      <td>German Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q102272</td>\n",
       "      <td>16</td>\n",
       "      <td>Jan van Eyck</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Q131808</td>\n",
       "      <td>Q301</td>\n",
       "      <td>14</td>\n",
       "      <td>El Greco</td>\n",
       "      <td>mannerism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q68631</td>\n",
       "      <td>14</td>\n",
       "      <td>Rogier van der Weyden</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>96</th>\n",
       "      <td>Q184814</td>\n",
       "      <td>Q159606</td>\n",
       "      <td>12</td>\n",
       "      <td>John Everett Millais</td>\n",
       "      <td>Pre-Raphaelite Brotherhood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>224</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q106851</td>\n",
       "      <td>12</td>\n",
       "      <td>Hans Memling</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>188</th>\n",
       "      <td>Q37853</td>\n",
       "      <td>Q150679</td>\n",
       "      <td>11</td>\n",
       "      <td>Anthony van Dyck</td>\n",
       "      <td>Baroque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>225</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q130531</td>\n",
       "      <td>11</td>\n",
       "      <td>Hieronymus Bosch</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Q1404472</td>\n",
       "      <td>Q5664</td>\n",
       "      <td>9</td>\n",
       "      <td>Fra Angelico</td>\n",
       "      <td>Italian Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>Q189458</td>\n",
       "      <td>Q483992</td>\n",
       "      <td>9</td>\n",
       "      <td>William-Adolphe Bouguereau</td>\n",
       "      <td>academic art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>210</th>\n",
       "      <td>Q40415</td>\n",
       "      <td>Q296</td>\n",
       "      <td>9</td>\n",
       "      <td>Claude Monet</td>\n",
       "      <td>Impressionism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>229</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q333380</td>\n",
       "      <td>8</td>\n",
       "      <td>Gerard David</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Q1472236</td>\n",
       "      <td>Q5822</td>\n",
       "      <td>7</td>\n",
       "      <td>Piero della Francesca</td>\n",
       "      <td>Early Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>171</th>\n",
       "      <td>Q37068</td>\n",
       "      <td>Q104884</td>\n",
       "      <td>7</td>\n",
       "      <td>Caspar David Friedrich</td>\n",
       "      <td>Romanticism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267</th>\n",
       "      <td>Q610687</td>\n",
       "      <td>Q9319</td>\n",
       "      <td>6</td>\n",
       "      <td>Jacopo Tintoretto</td>\n",
       "      <td>Venetian school</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Q1404472</td>\n",
       "      <td>Q762</td>\n",
       "      <td>6</td>\n",
       "      <td>Leonardo da Vinci</td>\n",
       "      <td>Italian Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262</th>\n",
       "      <td>Q6076361</td>\n",
       "      <td>Q42207</td>\n",
       "      <td>6</td>\n",
       "      <td>Caravaggio</td>\n",
       "      <td>Italian Baroque painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>Q39427</td>\n",
       "      <td>Q5577</td>\n",
       "      <td>6</td>\n",
       "      <td>Salvador Dalí</td>\n",
       "      <td>surrealism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>Q40415</td>\n",
       "      <td>Q40599</td>\n",
       "      <td>6</td>\n",
       "      <td>Édouard Manet</td>\n",
       "      <td>Impressionism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q762</td>\n",
       "      <td>6</td>\n",
       "      <td>Leonardo da Vinci</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>Q281108</td>\n",
       "      <td>Q156386</td>\n",
       "      <td>6</td>\n",
       "      <td>Henri Rousseau</td>\n",
       "      <td>naïve art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Q170292</td>\n",
       "      <td>Q41554</td>\n",
       "      <td>6</td>\n",
       "      <td>Nicolas Poussin</td>\n",
       "      <td>classicism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Q131808</td>\n",
       "      <td>Q9319</td>\n",
       "      <td>6</td>\n",
       "      <td>Jacopo Tintoretto</td>\n",
       "      <td>mannerism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Q184814</td>\n",
       "      <td>Q186748</td>\n",
       "      <td>5</td>\n",
       "      <td>Dante Gabriel Rossetti</td>\n",
       "      <td>Pre-Raphaelite Brotherhood</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>Q2642826</td>\n",
       "      <td>Q34618</td>\n",
       "      <td>5</td>\n",
       "      <td>Gustave Courbet</td>\n",
       "      <td>Realism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>Q2642826</td>\n",
       "      <td>Q40599</td>\n",
       "      <td>5</td>\n",
       "      <td>Édouard Manet</td>\n",
       "      <td>Realism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Q1404472</td>\n",
       "      <td>Q191423</td>\n",
       "      <td>5</td>\n",
       "      <td>Domenico Ghirlandaio</td>\n",
       "      <td>Italian Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>Q37853</td>\n",
       "      <td>Q297</td>\n",
       "      <td>5</td>\n",
       "      <td>Diego Velázquez</td>\n",
       "      <td>Baroque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Q189458</td>\n",
       "      <td>Q212499</td>\n",
       "      <td>5</td>\n",
       "      <td>Jean-Léon Gérôme</td>\n",
       "      <td>academic art</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>Q40415</td>\n",
       "      <td>Q39931</td>\n",
       "      <td>5</td>\n",
       "      <td>Pierre-Auguste Renoir</td>\n",
       "      <td>Impressionism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>Q37853</td>\n",
       "      <td>Q5599</td>\n",
       "      <td>5</td>\n",
       "      <td>Peter Paul Rubens</td>\n",
       "      <td>Baroque</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q8459</td>\n",
       "      <td>5</td>\n",
       "      <td>Giorgione</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>243</th>\n",
       "      <td>Q4692</td>\n",
       "      <td>Q762</td>\n",
       "      <td>4</td>\n",
       "      <td>Leonardo da Vinci</td>\n",
       "      <td>Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>274</th>\n",
       "      <td>Q610877</td>\n",
       "      <td>Q43270</td>\n",
       "      <td>4</td>\n",
       "      <td>Pieter Brueghel the Elder</td>\n",
       "      <td>Northern Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>Q2455000</td>\n",
       "      <td>Q191748</td>\n",
       "      <td>4</td>\n",
       "      <td>Lucas Cranach the Elder</td>\n",
       "      <td>German Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q5571</td>\n",
       "      <td>4</td>\n",
       "      <td>Andrea del Sarto</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>Q2352880</td>\n",
       "      <td>Q41264</td>\n",
       "      <td>4</td>\n",
       "      <td>Johannes Vermeer</td>\n",
       "      <td>Dutch Golden Age painting</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Q10857409</td>\n",
       "      <td>Q5582</td>\n",
       "      <td>4</td>\n",
       "      <td>Vincent van Gogh</td>\n",
       "      <td>realism</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>275</th>\n",
       "      <td>Q610877</td>\n",
       "      <td>Q48319</td>\n",
       "      <td>4</td>\n",
       "      <td>Hans Holbein the Younger</td>\n",
       "      <td>Northern Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>Q1474884</td>\n",
       "      <td>Q9348</td>\n",
       "      <td>4</td>\n",
       "      <td>Parmigianino</td>\n",
       "      <td>High Renaissance</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>Q443153</td>\n",
       "      <td>Q215251</td>\n",
       "      <td>4</td>\n",
       "      <td>Hugo van der Goes</td>\n",
       "      <td>Early Netherlandish painting</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      movement  creator  count                  label_creator  \\\n",
       "264    Q610687   Q47551     52                         Titian   \n",
       "131   Q2352880    Q5598     36                      Rembrandt   \n",
       "37    Q1404472    Q5827     33                Pietro Perugino   \n",
       "74    Q1474884    Q5597     33                        Raphael   \n",
       "195     Q37853   Q42207     27                     Caravaggio   \n",
       "71    Q1474884   Q47551     23                         Titian   \n",
       "43      Q14378   Q23380     20  Jean-Auguste-Dominique Ingres   \n",
       "61    Q1472236    Q5669     19              Sandro Botticelli   \n",
       "50      Q14378   Q83155     18            Jacques-Louis David   \n",
       "134   Q2455000    Q5580     17                 Albrecht Dürer   \n",
       "223    Q443153  Q102272     16                   Jan van Eyck   \n",
       "14     Q131808     Q301     14                       El Greco   \n",
       "232    Q443153   Q68631     14          Rogier van der Weyden   \n",
       "96     Q184814  Q159606     12           John Everett Millais   \n",
       "224    Q443153  Q106851     12                   Hans Memling   \n",
       "188     Q37853  Q150679     11               Anthony van Dyck   \n",
       "225    Q443153  Q130531     11               Hieronymus Bosch   \n",
       "34    Q1404472    Q5664      9                   Fra Angelico   \n",
       "118    Q189458  Q483992      9     William-Adolphe Bouguereau   \n",
       "210     Q40415     Q296      9                   Claude Monet   \n",
       "229    Q443153  Q333380      8                   Gerard David   \n",
       "64    Q1472236    Q5822      7          Piero della Francesca   \n",
       "171     Q37068  Q104884      7         Caspar David Friedrich   \n",
       "267    Q610687    Q9319      6              Jacopo Tintoretto   \n",
       "39    Q1404472     Q762      6              Leonardo da Vinci   \n",
       "262   Q6076361   Q42207      6                     Caravaggio   \n",
       "203     Q39427    Q5577      6                  Salvador Dalí   \n",
       "213     Q40415   Q40599      6                  Édouard Manet   \n",
       "75    Q1474884     Q762      6              Leonardo da Vinci   \n",
       "153    Q281108  Q156386      6                 Henri Rousseau   \n",
       "93     Q170292   Q41554      6                Nicolas Poussin   \n",
       "21     Q131808    Q9319      6              Jacopo Tintoretto   \n",
       "100    Q184814  Q186748      5         Dante Gabriel Rossetti   \n",
       "149   Q2642826   Q34618      5                Gustave Courbet   \n",
       "151   Q2642826   Q40599      5                  Édouard Manet   \n",
       "29    Q1404472  Q191423      5           Domenico Ghirlandaio   \n",
       "190     Q37853     Q297      5                Diego Velázquez   \n",
       "111    Q189458  Q212499      5               Jean-Léon Gérôme   \n",
       "212     Q40415   Q39931      5          Pierre-Auguste Renoir   \n",
       "197     Q37853    Q5599      5              Peter Paul Rubens   \n",
       "76    Q1474884    Q8459      5                      Giorgione   \n",
       "243      Q4692     Q762      4              Leonardo da Vinci   \n",
       "274    Q610877   Q43270      4      Pieter Brueghel the Elder   \n",
       "133   Q2455000  Q191748      4        Lucas Cranach the Elder   \n",
       "72    Q1474884    Q5571      4               Andrea del Sarto   \n",
       "130   Q2352880   Q41264      4               Johannes Vermeer   \n",
       "5    Q10857409    Q5582      4               Vincent van Gogh   \n",
       "275    Q610877   Q48319      4       Hans Holbein the Younger   \n",
       "77    Q1474884    Q9348      4                   Parmigianino   \n",
       "226    Q443153  Q215251      4              Hugo van der Goes   \n",
       "\n",
       "                   label_movement  \n",
       "264               Venetian school  \n",
       "131     Dutch Golden Age painting  \n",
       "37            Italian Renaissance  \n",
       "74               High Renaissance  \n",
       "195                       Baroque  \n",
       "71               High Renaissance  \n",
       "43                  neoclassicism  \n",
       "61              Early Renaissance  \n",
       "50                  neoclassicism  \n",
       "134            German Renaissance  \n",
       "223  Early Netherlandish painting  \n",
       "14                      mannerism  \n",
       "232  Early Netherlandish painting  \n",
       "96     Pre-Raphaelite Brotherhood  \n",
       "224  Early Netherlandish painting  \n",
       "188                       Baroque  \n",
       "225  Early Netherlandish painting  \n",
       "34            Italian Renaissance  \n",
       "118                  academic art  \n",
       "210                 Impressionism  \n",
       "229  Early Netherlandish painting  \n",
       "64              Early Renaissance  \n",
       "171                   Romanticism  \n",
       "267               Venetian school  \n",
       "39            Italian Renaissance  \n",
       "262      Italian Baroque painting  \n",
       "203                    surrealism  \n",
       "213                 Impressionism  \n",
       "75               High Renaissance  \n",
       "153                     naïve art  \n",
       "93                     classicism  \n",
       "21                      mannerism  \n",
       "100    Pre-Raphaelite Brotherhood  \n",
       "149                       Realism  \n",
       "151                       Realism  \n",
       "29            Italian Renaissance  \n",
       "190                       Baroque  \n",
       "111                  academic art  \n",
       "212                 Impressionism  \n",
       "197                       Baroque  \n",
       "76               High Renaissance  \n",
       "243                   Renaissance  \n",
       "274          Northern Renaissance  \n",
       "133            German Renaissance  \n",
       "72               High Renaissance  \n",
       "130     Dutch Golden Age painting  \n",
       "5                         realism  \n",
       "275          Northern Renaissance  \n",
       "77               High Renaissance  \n",
       "226  Early Netherlandish painting  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#bar chart with the number of artworks per movement and creator, creators are bars and movements are stacked\n",
    "df_movements_creators_count=df_movements_creators.groupby(['movement','creator']).size().reset_index(name='count')\n",
    "df_movements_creators_count=df_movements_creators_count.sort_values('count', ascending=False)\n",
    "df_movements_creators_count[\"label_creator\"]=df_movements_creators_count[\"creator\"].apply(lambda x: creator_labels.get(x, [\"Unknown\"])[0])\n",
    "df_movements_creators_count[\"label_movement\"]=df_movements_creators_count[\"movement\"].apply(lambda x: movement_labels.get(x, [\"Unknown\"])[0])\n",
    "df_movements_creators_count=df_movements_creators_count[df_movements_creators_count[\"label_creator\"]!=\"Unknown\"]\n",
    "df_movements_creators_count=df_movements_creators_count[df_movements_creators_count[\"label_movement\"]!=\"Unknown\"]\n",
    "df_movements_creators_count.head(50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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