evolution_parc_vegetal_Grenoble.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f8a041bc-83fa-4138-8bf9-ff8de8b04027",
   "metadata": {
    "tags": []
   },
   "source": [
    "# Évolution du parc végétal de Grenoble"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "29ed9313-ad92-41db-9c3c-0761a7f824ba",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "02cc6dab-9b64-43b0-9db0-230dc14505a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import ipywidgets as widgets\n",
    "from ipywidgets import interact, interact_manual\n",
    "from ipywidgets import interact, interactive, fixed, interact_manual\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30dc9cb6-7e66-46da-be8b-f818eacb1fba",
   "metadata": {},
   "source": [
    "## Download the [Dataset](https://entrepot.metropolegrenoble.fr/opendata/38185-GRE/EspacePublic/csv/ESP_PUBLIC.IDENTITE_ARBRE.csv)\n",
    "(https://entrepot.metropolegrenoble.fr/opendata/38185-GRE/EspacePublic/csv/ESP_PUBLIC.IDENTITE_ARBRE.csv)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f6906148-2670-4661-a31e-1901fbad38c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "url = 'https://entrepot.metropolegrenoble.fr/opendata/38185-GRE/EspacePublic/csv/ESP_PUBLIC.IDENTITE_ARBRE.csv'\n",
    "df = pd.read_csv(url, low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d770d7ca-7fb0-4f1d-a5b3-f3033f75ea1e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#df.ANNEEDEPLANTATION.unique()\n",
    "#df.SOUS_CATEGORIE_DESC.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "82a6df22-7b40-42d3-baa3-22ebf727b143",
   "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>ELEM_POINT_ID</th>\n",
       "      <th>CODE</th>\n",
       "      <th>NOM</th>\n",
       "      <th>GENRE</th>\n",
       "      <th>GENRE_DESC</th>\n",
       "      <th>CATEGORIE</th>\n",
       "      <th>CATEGORIE_DESC</th>\n",
       "      <th>SOUS_CATEGORIE</th>\n",
       "      <th>SOUS_CATEGORIE_DESC</th>\n",
       "      <th>CODE_PARENT</th>\n",
       "      <th>...</th>\n",
       "      <th>COURRIER</th>\n",
       "      <th>IDENTIFIANTPLU</th>\n",
       "      <th>TYPEIMPLANTATIONPLU</th>\n",
       "      <th>INTITULEPROTECTIONPLU</th>\n",
       "      <th>ANNEEABATTAGE</th>\n",
       "      <th>ESSOUCHEMENT</th>\n",
       "      <th>DIAMETREARBRE</th>\n",
       "      <th>CAUSEABATTAGE</th>\n",
       "      <th>COLLECTIVITE</th>\n",
       "      <th>GeoJSON</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23881</td>\n",
       "      <td>ESP29285</td>\n",
       "      <td>ESP29285</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP639</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>170.0</td>\n",
       "      <td>Alignement</td>\n",
       "      <td>L 123-1.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7436272177661...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23886</td>\n",
       "      <td>ESP29286</td>\n",
       "      <td>ESP29286</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP187</td>\n",
       "      <td>Bois semi naturel</td>\n",
       "      <td>ESP53</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7448701441213...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23891</td>\n",
       "      <td>ESP29287</td>\n",
       "      <td>ESP29287</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP1058</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Grenoble Alpes Métropole</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7422258900484...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23895</td>\n",
       "      <td>ESP29288</td>\n",
       "      <td>ESP29288</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP151</td>\n",
       "      <td>Arbre de voirie</td>\n",
       "      <td>ESP616</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7447571861843...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>12182</td>\n",
       "      <td>ESP29289</td>\n",
       "      <td>ESP29289</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP1213</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7366655831041...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31614</th>\n",
       "      <td>30028</td>\n",
       "      <td>ESP31275</td>\n",
       "      <td>ESP31275</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP42</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7243716154461...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31615</th>\n",
       "      <td>30029</td>\n",
       "      <td>ESP31276</td>\n",
       "      <td>ESP31276</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP42</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7245238150976...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31616</th>\n",
       "      <td>30030</td>\n",
       "      <td>ESP31277</td>\n",
       "      <td>ESP31277</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP42</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7246681137245...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31617</th>\n",
       "      <td>30031</td>\n",
       "      <td>ESP31278</td>\n",
       "      <td>ESP31278</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP174</td>\n",
       "      <td>Arbre d'espaces ouverts</td>\n",
       "      <td>ESP42</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Ville de Grenoble</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7249966111508...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31618</th>\n",
       "      <td>ESP14073</td>\n",
       "      <td>ESP14073</td>\n",
       "      <td>VEG</td>\n",
       "      <td>VEGETATION</td>\n",
       "      <td>ESP01</td>\n",
       "      <td>Arbre</td>\n",
       "      <td>ESP151</td>\n",
       "      <td>Arbre de voirie</td>\n",
       "      <td>ESP336</td>\n",
       "      <td>R M Gontard angle M Deprez</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Grenoble Alpes Métropole</td>\n",
       "      <td>{\"type\":\"Point\",\"coordinates\":[5.7242265914674...</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31619 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      ELEM_POINT_ID      CODE       NOM       GENRE  GENRE_DESC CATEGORIE  \\\n",
       "0             23881  ESP29285  ESP29285         VEG  VEGETATION     ESP01   \n",
       "1             23886  ESP29286  ESP29286         VEG  VEGETATION     ESP01   \n",
       "2             23891  ESP29287  ESP29287         VEG  VEGETATION     ESP01   \n",
       "3             23895  ESP29288  ESP29288         VEG  VEGETATION     ESP01   \n",
       "4             12182  ESP29289  ESP29289         VEG  VEGETATION     ESP01   \n",
       "...             ...       ...       ...         ...         ...       ...   \n",
       "31614         30028  ESP31275  ESP31275         VEG  VEGETATION     ESP01   \n",
       "31615         30029  ESP31276  ESP31276         VEG  VEGETATION     ESP01   \n",
       "31616         30030  ESP31277  ESP31277         VEG  VEGETATION     ESP01   \n",
       "31617         30031  ESP31278  ESP31278         VEG  VEGETATION     ESP01   \n",
       "31618      ESP14073  ESP14073       VEG  VEGETATION       ESP01     Arbre   \n",
       "\n",
       "      CATEGORIE_DESC   SOUS_CATEGORIE      SOUS_CATEGORIE_DESC  \\\n",
       "0              Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "1              Arbre           ESP187        Bois semi naturel   \n",
       "2              Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "3              Arbre           ESP151          Arbre de voirie   \n",
       "4              Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "...              ...              ...                      ...   \n",
       "31614          Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "31615          Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "31616          Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "31617          Arbre           ESP174  Arbre d'espaces ouverts   \n",
       "31618         ESP151  Arbre de voirie                   ESP336   \n",
       "\n",
       "                      CODE_PARENT  ... COURRIER IDENTIFIANTPLU  \\\n",
       "0                          ESP639  ...      NaN          170.0   \n",
       "1                           ESP53  ...      NaN            NaN   \n",
       "2                         ESP1058  ...      NaN            NaN   \n",
       "3                          ESP616  ...      NaN            NaN   \n",
       "4                         ESP1213  ...      NaN            NaN   \n",
       "...                           ...  ...      ...            ...   \n",
       "31614                       ESP42  ...      NaN            NaN   \n",
       "31615                       ESP42  ...      NaN            NaN   \n",
       "31616                       ESP42  ...      NaN            NaN   \n",
       "31617                       ESP42  ...      NaN            NaN   \n",
       "31618  R M Gontard angle M Deprez  ...      NaN            NaN   \n",
       "\n",
       "      TYPEIMPLANTATIONPLU INTITULEPROTECTIONPLU ANNEEABATTAGE ESSOUCHEMENT  \\\n",
       "0              Alignement             L 123-1.7           NaN          NaN   \n",
       "1                     NaN                   NaN           NaN          NaN   \n",
       "2                     NaN                   NaN           NaN          NaN   \n",
       "3                     NaN                   NaN           NaN          NaN   \n",
       "4                     NaN                   NaN           NaN          NaN   \n",
       "...                   ...                   ...           ...          ...   \n",
       "31614                 NaN                   NaN           NaN          NaN   \n",
       "31615                 NaN                   NaN           NaN          NaN   \n",
       "31616                 NaN                   NaN           NaN          NaN   \n",
       "31617                 NaN                   NaN           NaN          NaN   \n",
       "31618                 NaN                   NaN           NaN          NaN   \n",
       "\n",
       "      DIAMETREARBRE             CAUSEABATTAGE  \\\n",
       "0               NaN                       NaN   \n",
       "1               NaN                       NaN   \n",
       "2               NaN                       NaN   \n",
       "3               NaN                       NaN   \n",
       "4               NaN                       NaN   \n",
       "...             ...                       ...   \n",
       "31614           NaN                       NaN   \n",
       "31615           NaN                       NaN   \n",
       "31616           NaN                       NaN   \n",
       "31617           NaN                       NaN   \n",
       "31618           NaN  Grenoble Alpes Métropole   \n",
       "\n",
       "                                            COLLECTIVITE  \\\n",
       "0                                      Ville de Grenoble   \n",
       "1                                      Ville de Grenoble   \n",
       "2                               Grenoble Alpes Métropole   \n",
       "3                                      Ville de Grenoble   \n",
       "4                                      Ville de Grenoble   \n",
       "...                                                  ...   \n",
       "31614                                  Ville de Grenoble   \n",
       "31615                                  Ville de Grenoble   \n",
       "31616                                  Ville de Grenoble   \n",
       "31617                                  Ville de Grenoble   \n",
       "31618  {\"type\":\"Point\",\"coordinates\":[5.7242265914674...   \n",
       "\n",
       "                                                 GeoJSON  \n",
       "0      {\"type\":\"Point\",\"coordinates\":[5.7436272177661...  \n",
       "1      {\"type\":\"Point\",\"coordinates\":[5.7448701441213...  \n",
       "2      {\"type\":\"Point\",\"coordinates\":[5.7422258900484...  \n",
       "3      {\"type\":\"Point\",\"coordinates\":[5.7447571861843...  \n",
       "4      {\"type\":\"Point\",\"coordinates\":[5.7366655831041...  \n",
       "...                                                  ...  \n",
       "31614  {\"type\":\"Point\",\"coordinates\":[5.7243716154461...  \n",
       "31615  {\"type\":\"Point\",\"coordinates\":[5.7245238150976...  \n",
       "31616  {\"type\":\"Point\",\"coordinates\":[5.7246681137245...  \n",
       "31617  {\"type\":\"Point\",\"coordinates\":[5.7249966111508...  \n",
       "31618                                                NaN  \n",
       "\n",
       "[31619 rows x 32 columns]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#display(df)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7488db78-71b7-4951-a8f9-b1d20c78b06d",
   "metadata": {},
   "source": [
    "## Proportion des principales espèces botaniques présentes au sein des arbres plantés à Grenoble\n",
    "- On ne conserve que **les espèces botaniques plantées au moins 150 fois** (pour que le diagramme soit un minimum lisible)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ddf7928b-7e96-4bf5-acb2-d98fc99184e3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Nombre d'arbres : 28180\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([<AxesSubplot:ylabel='None'>], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x1152 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "genreBotanique = pd.DataFrame(df[\"GENRE_BOTA\"])\n",
    "test = genreBotanique.groupby('GENRE_BOTA').value_counts()\n",
    "print(\"Nombre d'arbres :\", test[test >= 150].sum())\n",
    "test[test >= 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "89496c99-e6c9-4d6d-8098-75ad9a76a24b",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Digramme Interractif : Proportion des espèces botaniques plantées au sein des différents arbres à Grenoble par année\n",
    "- Filtre pour observer seulement les arbres de voirie ou non \n",
    "- On ne conserve pas que *les espèces botaniques plantées au moins 150 fois* (Le diagramme peut difficielement lisible)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "2a661ee8-07e8-41a4-95ae-43e1178b1ea8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1f8541b0bd83497a91b858fb49bfd7e8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=1960, description='yearPlantation', max=2021, min=1900), Checkbox(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.updateChart(yearPlantation, arbreVoirieFlag)>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "def updateChart(yearPlantation, arbreVoirieFlag):\n",
    "    \n",
    "    # Deep Copy original DataSet\n",
    "    copy = df.copy(deep=True)\n",
    "    \n",
    "    # filter if arbreVoirieFlag is True\n",
    "    if arbreVoirieFlag:\n",
    "        copy = copy.loc[copy[\"SOUS_CATEGORIE_DESC\"] == \"Arbre de voirie\"]\n",
    "    \n",
    "    # filter trees to keep only those that were planted before yearPlantation\n",
    "    copy = copy.loc[copy[\"ANNEEDEPLANTATION\"] <= yearPlantation]\n",
    "    \n",
    "    # Count tree by botanical genus\n",
    "    botanicalGenus = pd.DataFrame(copy[\"GENRE_BOTA\"])\n",
    "    botanicalGenus = botanicalGenus.groupby('GENRE_BOTA').value_counts()\n",
    "    print(\"Nombre d'arbres :\", botanicalGenus.sum())\n",
    "    \n",
    "    #botanicalGenus[botanicalGenus >= 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "    botanicalGenus.plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "\n",
    "\n",
    "interact(updateChart, yearPlantation=(1900,2021), arbreVoirieFlag=widgets.Checkbox(value=False,description='Arbre de voirie',disabled=False))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "738d8797-9107-4695-a8a6-6bbe70a701f2",
   "metadata": {},
   "source": [
    "## Digramme Interractif : Proportion des principales espèces botaniques plantées au sein des différents arbres à Grenoble par année\n",
    "- Filtre pour observer seulement les arbres de voirie ou non \n",
    "- On ne conserve que **les espèces botaniques plantées au moins 150 fois** (pour que le diagramme soit un minimum lisible)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8c823526-a16a-410b-a3a7-0f6114d635fd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d043a22621d241f48bd1e0b2eac5e206",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=1960, description='yearPlantation', max=2021, min=1900), Checkbox(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.updateChart(yearPlantation, arbreVoirieFlag)>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "def updateChart(yearPlantation, arbreVoirieFlag):\n",
    "    \n",
    "    # Deep Copy original DataSet\n",
    "    copy = df.copy(deep=True)\n",
    "    \n",
    "    # filter if arbreVoirieFlag is True\n",
    "    if arbreVoirieFlag:\n",
    "        copy = copy.loc[copy[\"SOUS_CATEGORIE_DESC\"] == \"Arbre de voirie\"]\n",
    "    \n",
    "    # filter trees to keep only those that were planted before yearPlantation\n",
    "    copy = copy.loc[copy[\"ANNEEDEPLANTATION\"] <= yearPlantation]\n",
    "    \n",
    "    # Count tree by botanical genus\n",
    "    botanicalGenus = pd.DataFrame(copy[\"GENRE_BOTA\"])\n",
    "    botanicalGenus = botanicalGenus.groupby('GENRE_BOTA').value_counts()\n",
    "    print(\"Nombre d'arbres :\", botanicalGenus[botanicalGenus >= 150].dropna().sum())\n",
    "\n",
    "    \n",
    "    #botanicalGenus[botanicalGenus >= 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "    botanicalGenus[botanicalGenus >= 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "\n",
    "interact(updateChart, yearPlantation=(1900,2021), arbreVoirieFlag=widgets.Checkbox(value=False,description='Arbre de voirie',disabled=False))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22594c92-77d5-4a8f-b46a-00f48f4b477c",
   "metadata": {},
   "source": [
    "## Digramme Interractif : Proportion des espèces botaniques secondaire plantées au sein des différents arbres à Grenoble par année\n",
    "- Filtre pour observer seulement les arbres de voirie ou non \n",
    "- On ne conserve que **les espèces botaniques plantées moins 150 fois** (pour que le diagramme soit un minimum lisible)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "168928a0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9addf5fe8a5e4fc19bc584558d2bb1e8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=1960, description='yearPlantation', max=2021, min=1900), Checkbox(value=…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<function __main__.updateChart(yearPlantation, arbreVoirieFlag)>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import display\n",
    "def updateChart(yearPlantation, arbreVoirieFlag):\n",
    "    \n",
    "    # Deep Copy original DataSet\n",
    "    copy = df.copy(deep=True)\n",
    "    \n",
    "    # filter if arbreVoirieFlag is True\n",
    "    if arbreVoirieFlag:\n",
    "        copy = copy.loc[copy[\"SOUS_CATEGORIE_DESC\"] == \"Arbre de voirie\"]\n",
    "    \n",
    "    # filter trees to keep only those that were planted before yearPlantation\n",
    "    copy = copy.loc[copy[\"ANNEEDEPLANTATION\"] <= yearPlantation]\n",
    "    \n",
    "    # Count tree by botanical genus\n",
    "    botanicalGenus = pd.DataFrame(copy[\"GENRE_BOTA\"])\n",
    "    botanicalGenus = botanicalGenus.groupby('GENRE_BOTA').value_counts()\n",
    "    print(\"Nombre d'arbres :\", botanicalGenus[botanicalGenus < 150].dropna().sum())\n",
    "\n",
    "    \n",
    "    #botanicalGenus[botanicalGenus >= 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "    botanicalGenus[botanicalGenus < 150].dropna().plot.pie(figsize=(16,16), subplots=True, legend=False)\n",
    "\n",
    "interact(updateChart, yearPlantation=(1900,2021), arbreVoirieFlag=widgets.Checkbox(value=False,description='Arbre de voirie',disabled=False))\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ed76f8d0-0aa9-4799-944d-364d66ec1edd",
   "metadata": {},
   "source": [
    "# Nombre de plantation par année"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "b462ec76-380d-4b55-98ee-2e9ed09d63fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ANNEEDEPLANTATION'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "copy = df.copy(deep=True)\n",
    "yearPlantation = pd.DataFrame(copy[\"ANNEEDEPLANTATION\"])\n",
    "yearPlantation = yearPlantation.groupby('ANNEEDEPLANTATION').value_counts()\n",
    "yearPlantation.plot.bar(figsize=(20,10), grid=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5e23d62b-08f0-4421-a0b9-895636f7acdd",
   "metadata": {},
   "source": [
    "# Évolution de la population du parc végatale de Grenoble"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b04a9c68-43fc-4a75-b11c-e4374a87a1fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='ANNEEDEPLANTATION'>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "copy = df.copy(deep=True)\n",
    "yearPlantation = pd.DataFrame(copy[\"ANNEEDEPLANTATION\"])\n",
    "yearPlantation = yearPlantation.groupby('ANNEEDEPLANTATION').value_counts()\n",
    "yearPlantation = yearPlantation.cumsum()\n",
    "yearPlantation.plot.bar(figsize=(20,10), grid=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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