Create Plot_Domain_Groups_Size.ipynb

notebooks/Plot_Domain_Groups_Size.ipynb

+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "name": "PlotDomainGroupsSize.ipynb",
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [
+        "import pandas as pd\n",
+        "import numpy as np\n",
+        "import matplotlib.pyplot as plt"
+      ],
+      "metadata": {
+        "id": "4PD6VAJG-bZ4"
+      },
+      "execution_count": 11,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "!wget https://projet.liris.cnrs.fr/geode/EDdA-Classification/datasets/EDdA_dataframe_withContent.tsv\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "fv-HiAcF-JsS",
+        "outputId": "defafca0-f97c-4bce-eb12-7285b298fdec"
+      },
+      "execution_count": 2,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "--2022-03-31 12:36:46--  https://projet.liris.cnrs.fr/geode/EDdA-Classification/datasets/EDdA_dataframe_withContent.tsv\n",
+            "Resolving projet.liris.cnrs.fr (projet.liris.cnrs.fr)... 134.214.142.28\n",
+            "Connecting to projet.liris.cnrs.fr (projet.liris.cnrs.fr)|134.214.142.28|:443... connected.\n",
+            "HTTP request sent, awaiting response... 200 OK\n",
+            "Length: 270305563 (258M) [text/tab-separated-values]\n",
+            "Saving to: ‘EDdA_dataframe_withContent.tsv’\n",
+            "\n",
+            "EDdA_dataframe_with 100%[===================>] 257.78M  4.18MB/s    in 41s     \n",
+            "\n",
+            "2022-03-31 12:37:28 (6.22 MB/s) - ‘EDdA_dataframe_withContent.tsv’ saved [270305563/270305563]\n",
+            "\n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df = pd.read_csv(\"EDdA_dataframe_withContent.tsv\", sep=\"\\t\")\n",
+        "\n",
+        "df.shape"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "7ztdVshB-MsT",
+        "outputId": "9d44e708-45a3-4f37-e0df-7dbece555edd"
+      },
+      "execution_count": 4,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(74190, 13)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 4
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.dropna(subset = [\"contentWithoutClass\", \"ensemble_domaine_enccre\"], inplace= True)\n",
+        "df.shape"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "7XCivIIJ-O3M",
+        "outputId": "aaecb26f-b8a6-485f-cd38-4a1cb54a2407"
+      },
+      "execution_count": 5,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "(61362, 13)"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 5
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df.columns"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "xNPUo3k--Ro6",
+        "outputId": "4625d929-9180-4c81-fe88-0cd2c40c24b0"
+      },
+      "execution_count": 6,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "Index(['volume', 'numero', 'head', 'normClass', 'classEDdA', 'author',\n",
+              "       'id_enccre', 'domaine_enccre', 'ensemble_domaine_enccre', 'content',\n",
+              "       'contentWithoutClass', 'firstParagraph', 'nb_words'],\n",
+              "      dtype='object')"
+            ]
+          },
+          "metadata": {},
+          "execution_count": 6
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df2 = df.groupby(['ensemble_domaine_enccre']).size().reset_index(name='counts').sort_values(by=['counts'], ascending=False)"
+      ],
+      "metadata": {
+        "id": "_PSGQqMK-Tjb"
+      },
+      "execution_count": 7,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df2.at[df2[df2['ensemble_domaine_enccre'] == \"Physique - [Sciences physico-mathématiques]\"].index.values.astype(int)[0],'ensemble_domaine_enccre'] = \"Physique [...]\"\n",
+        "df2.at[df2[df2['ensemble_domaine_enccre'] == \"Agriculture - Economie rustique\"].index.values.astype(int)[0],'ensemble_domaine_enccre'] = \"Agriculture [...]\"\n",
+        "df2.at[df2[df2['ensemble_domaine_enccre'] == \"Militaire (Art) - Guerre - Arme\"].index.values.astype(int)[0],'ensemble_domaine_enccre'] = \"Militaire [...]\"\n"
+      ],
+      "metadata": {
+        "id": "qglmepwM-VED"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "df2"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "id": "mzdenPGu-Xga",
+        "outputId": "5c35abd8-4e29-4735-a797-815afb24f723"
+      },
+      "execution_count": 9,
+      "outputs": [
+        {
+          "output_type": "execute_result",
+          "data": {
+            "text/plain": [
+              "    ensemble_domaine_enccre  counts\n",
+              "15               Géographie   13289\n",
+              "12    Droit - Jurisprudence    6901\n",
+              "29                  Métiers    5434\n",
+              "17       Histoire naturelle    5405\n",
+              "16                 Histoire    3164\n",
+              "28     Médecine - Chirurgie    2452\n",
+              "14                Grammaire    2390\n",
+              "19                   Marine    2346\n",
+              "11                 Commerce    1924\n",
+              "35                 Religion    1675\n",
+              "3              Architecture    1454\n",
+              "2                 Antiquité    1393\n",
+              "32           Physique [...]    1391\n",
+              "23          Militaire [...]    1320\n",
+              "0         Agriculture [...]    1260\n",
+              "1                  Anatomie    1152\n",
+              "6   Belles-lettres - Poésie    1042\n",
+              "21            Mathématiques     729\n",
+              "26                  Musique     705\n",
+              "9                    Chasse     605\n",
+              "10                   Chimie     586\n",
+              "4           Arts et métiers     574\n",
+              "20       Maréchage - Manège     553\n",
+              "7                    Blason     549\n",
+              "31              Philosophie     490\n",
+              "5                Beaux-arts     447\n",
+              "30                Pharmacie     342\n",
+              "25                  Monnaie     326\n",
+              "18                      Jeu     289\n",
+              "34                    Pêche     217\n",
+              "22                   Mesure     189\n",
+              "13      Economie domestique     139\n",
+              "33                Politique     119\n",
+              "27                Médailles     118\n",
+              "8                Caractères     115\n",
+              "37             Superstition     115\n",
+              "24              Minéralogie     112\n",
+              "36                Spectacle      51"
+            ],
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+              "\n",
+              "  <div id=\"df-59b1756d-989d-4757-b0a8-83739bd8eac8\">\n",
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+              "<style scoped>\n",
+              "    .dataframe tbody tr th:only-of-type {\n",
+              "        vertical-align: middle;\n",
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+              "  <thead>\n",
+              "    <tr style=\"text-align: right;\">\n",
+              "      <th></th>\n",
+              "      <th>ensemble_domaine_enccre</th>\n",
+              "      <th>counts</th>\n",
+              "    </tr>\n",
+              "  </thead>\n",
+              "  <tbody>\n",
+              "    <tr>\n",
+              "      <th>15</th>\n",
+              "      <td>Géographie</td>\n",
+              "      <td>13289</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>12</th>\n",
+              "      <td>Droit - Jurisprudence</td>\n",
+              "      <td>6901</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>29</th>\n",
+              "      <td>Métiers</td>\n",
+              "      <td>5434</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>17</th>\n",
+              "      <td>Histoire naturelle</td>\n",
+              "      <td>5405</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>16</th>\n",
+              "      <td>Histoire</td>\n",
+              "      <td>3164</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>28</th>\n",
+              "      <td>Médecine - Chirurgie</td>\n",
+              "      <td>2452</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>14</th>\n",
+              "      <td>Grammaire</td>\n",
+              "      <td>2390</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>19</th>\n",
+              "      <td>Marine</td>\n",
+              "      <td>2346</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>11</th>\n",
+              "      <td>Commerce</td>\n",
+              "      <td>1924</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>35</th>\n",
+              "      <td>Religion</td>\n",
+              "      <td>1675</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>3</th>\n",
+              "      <td>Architecture</td>\n",
+              "      <td>1454</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>2</th>\n",
+              "      <td>Antiquité</td>\n",
+              "      <td>1393</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>32</th>\n",
+              "      <td>Physique [...]</td>\n",
+              "      <td>1391</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>23</th>\n",
+              "      <td>Militaire [...]</td>\n",
+              "      <td>1320</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>0</th>\n",
+              "      <td>Agriculture [...]</td>\n",
+              "      <td>1260</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>1</th>\n",
+              "      <td>Anatomie</td>\n",
+              "      <td>1152</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>6</th>\n",
+              "      <td>Belles-lettres - Poésie</td>\n",
+              "      <td>1042</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>21</th>\n",
+              "      <td>Mathématiques</td>\n",
+              "      <td>729</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>26</th>\n",
+              "      <td>Musique</td>\n",
+              "      <td>705</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>9</th>\n",
+              "      <td>Chasse</td>\n",
+              "      <td>605</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>10</th>\n",
+              "      <td>Chimie</td>\n",
+              "      <td>586</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>4</th>\n",
+              "      <td>Arts et métiers</td>\n",
+              "      <td>574</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>20</th>\n",
+              "      <td>Maréchage - Manège</td>\n",
+              "      <td>553</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>7</th>\n",
+              "      <td>Blason</td>\n",
+              "      <td>549</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>31</th>\n",
+              "      <td>Philosophie</td>\n",
+              "      <td>490</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>5</th>\n",
+              "      <td>Beaux-arts</td>\n",
+              "      <td>447</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>30</th>\n",
+              "      <td>Pharmacie</td>\n",
+              "      <td>342</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>25</th>\n",
+              "      <td>Monnaie</td>\n",
+              "      <td>326</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>18</th>\n",
+              "      <td>Jeu</td>\n",
+              "      <td>289</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>34</th>\n",
+              "      <td>Pêche</td>\n",
+              "      <td>217</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>22</th>\n",
+              "      <td>Mesure</td>\n",
+              "      <td>189</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>13</th>\n",
+              "      <td>Economie domestique</td>\n",
+              "      <td>139</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>33</th>\n",
+              "      <td>Politique</td>\n",
+              "      <td>119</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>27</th>\n",
+              "      <td>Médailles</td>\n",
+              "      <td>118</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>8</th>\n",
+              "      <td>Caractères</td>\n",
+              "      <td>115</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>37</th>\n",
+              "      <td>Superstition</td>\n",
+              "      <td>115</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>24</th>\n",
+              "      <td>Minéralogie</td>\n",
+              "      <td>112</td>\n",
+              "    </tr>\n",
+              "    <tr>\n",
+              "      <th>36</th>\n",
+              "      <td>Spectacle</td>\n",
+              "      <td>51</td>\n",
+              "    </tr>\n",
+              "  </tbody>\n",
+              "</table>\n",
+              "</div>\n",
+              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-59b1756d-989d-4757-b0a8-83739bd8eac8')\"\n",
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+              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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+              "          const element = document.querySelector('#df-59b1756d-989d-4757-b0a8-83739bd8eac8');\n",
+              "          const dataTable =\n",
+              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
+              "                                                     [key], {});\n",
+              "          if (!dataTable) return;\n",
+              "\n",
+              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
+              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
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+              "  "
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+          "metadata": {},
+          "execution_count": 9
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+        "id": "jhkttXU--ItB",
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+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1296x432 with 1 Axes>"
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+            "image/png": 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\n"
+          },
+          "metadata": {
+            "needs_background": "light"
+          }
+        }
+      ],
+      "source": [
+        "\n",
+        "fig, ax = plt.subplots(figsize = (18, 6))\n",
+        "#ax = df2.plot.bar(x='ensemble_domaine_enccre', y='counts', rot=45)\n",
+        "ax.hlines(y=np.arange(0, 16000, 2000), xmin=-1, xmax=37, color=\"#bfbfbf\", lw=0.6)\n",
+        "\n",
+        "ax.set_xlim(-0.5, 37.5)\n",
+        "ax.set_ylim(0, 14000)\n",
+        "ax.spines['top'].set_visible(False)\n",
+        "ax.spines['right'].set_visible(False)\n",
+        "ax.spines['left'].set_visible(False)\n",
+        "bars = ax.bar(df2.ensemble_domaine_enccre, df2.counts, width=0.5)\n",
+        "for bar in bars : \n",
+        "  height = bar.get_height()\n",
+        "  ax.text(bar.get_x() + bar.get_width()/2., height + 400,\n",
+        "                '%d' % int(height), ha='center', va='bottom', fontsize=12, rotation=90)\n",
+        "\n",
+        "plt.xticks(fontsize=12, rotation=45, ha='right')\n",
+        "plt.yticks(fontsize=12)\n",
+        "fig.savefig('graphique_ensemble_domaine.png', bbox_inches = 'tight', dpi=150)"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        ""
+      ],
+      "metadata": {
+        "id": "QGjO9hR6-mjt"
+      },
+      "execution_count": null,
+      "outputs": []
+    }
+  ]
+}
\ No newline at end of file