meteo.data MENS - Télécharge-Visualise-Extrait les données Mensuelles_23-12-31.ipynb

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    "### Portail meteo.data.gouv.fr - Téléchargement-affichage-Extraction des données MENSUELLES de Météo-France (Métropole & outre-mer)\n",
    "Une connexion internet est nécessaire pour le téléchargement automatique des archives de données.\n",
    "1) Téléchargement des fichiers et décompression automatique, pour différents postes, dans plusieurs départements si besoin\n",
    "2) Tracé du graphique chronologique pour le paramètre Précipitations RR des postes choisis par l'utilisateur\n",
    "3) Sauvegarde des données intégrales et du graphique dans un fichier Excel (tous paramètres pour tous les postes des départements concernés).\n",
    "\n",
    "data : https://meteo.data.gouv.fr/ (6 min, horaire, quotidien, mensuel)<br>\n",
    "Fiche PDF des postes : https://www.data.gouv.fr/fr/datasets/r/bee4b0c7-260a-40fe-b463-ed5631d6dc39 (paramètres et périodes de mesure)<br>\n",
    "Fichier CSV descriptif champs: https://www.data.gouv.fr/fr/datasets/r/6d4ac560-8f7c-477f-9a3f-3c33137fc04e\n",
    "\n",
    "Utilisez mon autre script pour visualiser sous forme de carte la liste des postes météorologiques fournie par Météo-France sous forme de fichier JSON https://meteo.data.gouv.fr/https://www.data.gouv.fr/fr/datasets/r/1fe544d8-4615-4642-a307-5956a7d90922\n",
    "\n",
    "NB:\n",
    "- Les historiques MENSUELS sont réparties en 3 fichiers pour chaque département: xxxx-1949, previous-1950-2022, latest-2023-2024 (LATEST indique le dernier fichier mis à jour quotidiennement depuis janvier de l'année précédente jusqu'au mois en cours, XXXX représent l'année de début de la période la plus ancienne variable selon le département).\n",
    "- Les données MENSUELLES ne sont pas simplement équivalentes à des données QUOTIDIENNE agrégées (les paramètres ne sont pas strictement les mêmes. Par exemple, il existe des des NOMBRES DE JOURS DE PLUIE/GELEE/CHALEUR/etc.., ainsi que des précipitations MENSUELLES ESTIMEES 'RR_ME' plus anciennes que les mesures)\n",
    "\n",
    "Auteur: https://github.com/loicduffar"
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   "source": [
    "##### 1) Lecture après téléchargement automatique des archives GZ et décompression des fichiers CSV pour tous les départements concernés\n",
    "\n",
    "- Définir les chemins d'enregistrement pour les archives GZ et pour les fichier CSV décompressés\n",
    "- Définir l'archive souhaitée (les historiques Météo-France sont partagés en plusieurs parties)\n",
    "- Définir les postes à interroger par leur code (voir fichier \"fiches.json\" sur https://www.data.gouv.fr/fr/datasets/r/1fe544d8-4615-4642-a307-5956a7d90922)\n",
    "- On peut choisir d'éviter de télécharger-décompresser les archives GZ si les fichiers CSV ont déjà été téléchargés lors du mois en cours\n",
    "\n",
    "Les archives sont automatiquement téléchargées-décompressées, et les fichiers CSV sont lus\n"
   ]
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      "2023-12-31 13:24\n",
      "Départements concernés:  ['974', '985']\n",
      "Téléchargement:  X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\archives\\2023 Déc\\base\\M\\MENSQ_974_previous-1950-2021.csv.gz\n",
      "Décompression X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\\MENSQ_974_previous-1950-2021.csv\n",
      "Lecture:  X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\\MENSQ_974_previous-1950-2021.csv\n",
      "Téléchargement:  X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\archives\\2023 Déc\\base\\M\\MENSQ_985_previous-1950-2021.csv.gz\n",
      "Décompression X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\\MENSQ_985_previous-1950-2021.csv\n",
      "Lecture:  X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\\MENSQ_985_previous-1950-2021.csv\n"
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       "      <th></th>\n",
       "      <th>NUM_POSTE</th>\n",
       "      <th>NOM_USUEL</th>\n",
       "      <th>LAT</th>\n",
       "      <th>LON</th>\n",
       "      <th>ALTI</th>\n",
       "      <th>DATE</th>\n",
       "      <th>RR</th>\n",
       "      <th>QRR</th>\n",
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       "      <th>RR_ME</th>\n",
       "      <th>...</th>\n",
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       "      <th>NBJNEIGETOT10</th>\n",
       "      <th>NBJNEIGETOT30</th>\n",
       "      <th>NBJGREL</th>\n",
       "      <th>NBJORAG</th>\n",
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       "      <th>0</th>\n",
       "      <td>97401520</td>\n",
       "      <td>LE TEVELAVE</td>\n",
       "      <td>-21.211667</td>\n",
       "      <td>55.361333</td>\n",
       "      <td>908</td>\n",
       "      <td>1953-01-01</td>\n",
       "      <td>229.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
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       "      <td>97401520</td>\n",
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       "      <td>55.361333</td>\n",
       "      <td>908</td>\n",
       "      <td>1953-02-01</td>\n",
       "      <td>105.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>28.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>2</th>\n",
       "      <td>97401520</td>\n",
       "      <td>LE TEVELAVE</td>\n",
       "      <td>-21.211667</td>\n",
       "      <td>55.361333</td>\n",
       "      <td>908</td>\n",
       "      <td>1953-03-01</td>\n",
       "      <td>440.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>97401520</td>\n",
       "      <td>LE TEVELAVE</td>\n",
       "      <td>-21.211667</td>\n",
       "      <td>55.361333</td>\n",
       "      <td>908</td>\n",
       "      <td>1953-04-01</td>\n",
       "      <td>364.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>4</th>\n",
       "      <td>97401520</td>\n",
       "      <td>LE TEVELAVE</td>\n",
       "      <td>-21.211667</td>\n",
       "      <td>55.361333</td>\n",
       "      <td>908</td>\n",
       "      <td>1953-05-01</td>\n",
       "      <td>152.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>6590</th>\n",
       "      <td>98517001</td>\n",
       "      <td>COMBANI</td>\n",
       "      <td>-12.788833</td>\n",
       "      <td>45.135000</td>\n",
       "      <td>122</td>\n",
       "      <td>2021-08-01</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
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       "      <th>6591</th>\n",
       "      <td>98517001</td>\n",
       "      <td>COMBANI</td>\n",
       "      <td>-12.788833</td>\n",
       "      <td>45.135000</td>\n",
       "      <td>122</td>\n",
       "      <td>2021-09-01</td>\n",
       "      <td>31.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>6592</th>\n",
       "      <td>98517001</td>\n",
       "      <td>COMBANI</td>\n",
       "      <td>-12.788833</td>\n",
       "      <td>45.135000</td>\n",
       "      <td>122</td>\n",
       "      <td>2021-10-01</td>\n",
       "      <td>117.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>31.0</td>\n",
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       "      <th>6593</th>\n",
       "      <td>98517001</td>\n",
       "      <td>COMBANI</td>\n",
       "      <td>-12.788833</td>\n",
       "      <td>45.135000</td>\n",
       "      <td>122</td>\n",
       "      <td>2021-11-01</td>\n",
       "      <td>287.9</td>\n",
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       "      <th>6594</th>\n",
       "      <td>98517001</td>\n",
       "      <td>COMBANI</td>\n",
       "      <td>-12.788833</td>\n",
       "      <td>45.135000</td>\n",
       "      <td>122</td>\n",
       "      <td>2021-12-01</td>\n",
       "      <td>275.4</td>\n",
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       "      <td>31.0</td>\n",
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       "     NUM_POSTE    NOM_USUEL        LAT        LON  ALTI       DATE     RR  \\\n",
       "0     97401520  LE TEVELAVE -21.211667  55.361333   908 1953-01-01  229.2   \n",
       "1     97401520  LE TEVELAVE -21.211667  55.361333   908 1953-02-01  105.5   \n",
       "2     97401520  LE TEVELAVE -21.211667  55.361333   908 1953-03-01  440.9   \n",
       "3     97401520  LE TEVELAVE -21.211667  55.361333   908 1953-04-01  364.8   \n",
       "4     97401520  LE TEVELAVE -21.211667  55.361333   908 1953-05-01  152.0   \n",
       "...        ...          ...        ...        ...   ...        ...    ...   \n",
       "6590  98517001      COMBANI -12.788833  45.135000   122 2021-08-01    3.5   \n",
       "6591  98517001      COMBANI -12.788833  45.135000   122 2021-09-01   31.7   \n",
       "6592  98517001      COMBANI -12.788833  45.135000   122 2021-10-01  117.9   \n",
       "6593  98517001      COMBANI -12.788833  45.135000   122 2021-11-01  287.9   \n",
       "6594  98517001      COMBANI -12.788833  45.135000   122 2021-12-01  275.4   \n",
       "\n",
       "      QRR  NBRR  RR_ME  ...  QNEIGETOTM  NEIGETOTAB  QNEIGETOTAB  \\\n",
       "0     1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "1     1.0  28.0    NaN  ...         NaN         NaN          NaN   \n",
       "2     1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "3     1.0  30.0    NaN  ...         NaN         NaN          NaN   \n",
       "4     1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "...   ...   ...    ...  ...         ...         ...          ...   \n",
       "6590  1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "6591  1.0  30.0    NaN  ...         NaN         NaN          NaN   \n",
       "6592  1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "6593  1.0  30.0    NaN  ...         NaN         NaN          NaN   \n",
       "6594  1.0  31.0    NaN  ...         NaN         NaN          NaN   \n",
       "\n",
       "      NEIGETOTABDAT  NBJNEIGETOT1  NBJNEIGETOT10  NBJNEIGETOT30  NBJGREL  \\\n",
       "0               NaN           NaN            NaN            NaN      NaN   \n",
       "1               NaN           NaN            NaN            NaN      NaN   \n",
       "2               NaN           NaN            NaN            NaN      NaN   \n",
       "3               NaN           NaN            NaN            NaN      NaN   \n",
       "4               NaN           NaN            NaN            NaN      NaN   \n",
       "...             ...           ...            ...            ...      ...   \n",
       "6590            NaN           NaN            NaN            NaN      NaN   \n",
       "6591            NaN           NaN            NaN            NaN      NaN   \n",
       "6592            NaN           NaN            NaN            NaN      NaN   \n",
       "6593            NaN           NaN            NaN            NaN      NaN   \n",
       "6594            NaN           NaN            NaN            NaN      NaN   \n",
       "\n",
       "      NBJORAG  NBJBROU  \n",
       "0         NaN      NaN  \n",
       "1         NaN      NaN  \n",
       "2         NaN      NaN  \n",
       "3         NaN      NaN  \n",
       "4         NaN      NaN  \n",
       "...       ...      ...  \n",
       "6590      NaN      NaN  \n",
       "6591      NaN      NaN  \n",
       "6592      NaN      NaN  \n",
       "6593      NaN      NaN  \n",
       "6594      NaN      NaN  \n",
       "\n",
       "[94029 rows x 162 columns]"
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     "text": [
      "Postes des départements absents de la liste JSON: ['97402220' '97402250' '97403420' '97403440' '97403450' '97403460'\n",
      " '97403480' '97404520' '97404530' '97406240' '97407540' '97408510'\n",
      " '97408520' '97408530' '97408575' '97409220' '97409235' '97409250'\n",
      " '97409260' '97409270' '97410210' '97410218' '97410222' '97410226'\n",
      " '97410234' '97410244' '97410256' '97410262' '97410268' '97410274'\n",
      " '97410280' '97410286' '97411102' '97411103' '97411105' '97411108'\n",
      " '97411111' '97411114' '97411120' '97411126' '97411138' '97411141'\n",
      " '97411144' '97411160' '97412306' '97412312' '97412316' '97412318'\n",
      " '97412320' '97412324' '97412328' '97412332' '97412344' '97412348'\n",
      " '97412352' '97412360' '97412368' '97412372' '97412376' '97412380'\n",
      " '97413506' '97413512' '97413518' '97413524' '97413530' '97413536'\n",
      " '97413548' '97413554' '97413560' '97413562' '97413566' '97413572'\n",
      " '97413576' '97413584' '97413588' '97414408' '97414416' '97414422'\n",
      " '97414428' '97414434' '97414440' '97414446' '97414450' '97414456'\n",
      " '97414462' '97414468' '97414474' '97414480' '97415503' '97415506'\n",
      " '97415509' '97415513' '97415520' '97415522' '97415526' '97415529'\n",
      " '97415532' '97415535' '97415538' '97415544' '97415545' '97415548'\n",
      " '97415551' '97415554' '97415560' '97415563' '97415569' '97415575'\n",
      " '97415578' '97415581' '97415584' '97415591' '97416405' '97416420'\n",
      " '97416430' '97416440' '97416450' '97416455' '97416460' '97416470'\n",
      " '97416475' '97416477' '97416480' '97416490' '97417320' '97417380'\n",
      " '97418115' '97418120' '97418125' '97418130' '97418135' '97418140'\n",
      " '97418150' '97418160' '97418165' '97418167' '97418180' '97418190'\n",
      " '97419315' '97419330' '97419340' '97419360' '97419364' '97419365'\n",
      " '97419366' '97419370' '97419390' '97420115' '97420120' '97420125'\n",
      " '97420130' '97420140' '97420160' '97420170' '97421230' '97421250'\n",
      " '97422405' '97422410' '97422415' '97422420' '97422425' '97422430'\n",
      " '97422435' '97422450' '97422460' '97422470' '97422475' '97422480'\n",
      " '97422485' '97423520' '97424420' '97424430' '97424440' '97424470'\n",
      " '98502800' '98504001' '98506001' '98506002' '98507001' '98509001'\n",
      " '98509002' '98511002' '98513004' '98516001' '98517001'] ['RIVIERE DU MAT - USINE' 'BRAS DES LIANES' \"BRAS D'ANTOINE\"\n",
      " 'BRAS-LONG - 1' 'ENTRE-DEUX' 'RAVINE-CITRONS' 'LE SERRE - ENTRE-DEUX'\n",
      " 'ETANG-SALE LES BAINS' 'ETANG-SALE LES HAUTS' 'PETITE PLAINE'\n",
      " 'RIVIERE DES GALETS' 'POSSESSION' 'LA POSSESSION 2' 'POSSESSION AERO'\n",
      " 'CAYENNE' 'ETANG-CAMBUSTON' 'SAINT-ANDRE LEGT' 'SAINT-ANDRE TERRE-ROUGE'\n",
      " 'RAVINE CREUSE' 'RIVIERE DU MAT - QF' 'SAINT-BENOIT - 1' 'BEAULIEU'\n",
      " 'GRAND-BRAS' 'MELISSA' 'BEAUFONDS SAINT-BENOIT' 'LA CONFIANCE'\n",
      " 'TAKAMAKA 850' 'TAKAMAKA-USINE' 'GRAND-ETANG' 'CAMBOURG'\n",
      " 'CAMBOURG LES HAUTS' 'BEBOUR' 'SAINT-DENIS VILLE' 'CAP-BERNARD'\n",
      " 'POINTE DU GOUFFRE' 'MAT DE VIGIE' 'SAINT-DENIS COLLEGE'\n",
      " 'BRISES MONTAGNE' 'LA MONTAGNE' 'PROVIDENCE' 'GRANDE-CHALOUPE - 1'\n",
      " 'GRANDE-CHALOUPE' 'MONTAGNE PK13' 'LE BRULE' 'PAS DES SABLES' 'FOC-FOC'\n",
      " 'GRAND-PAYS' 'GRAND-PAYS - MIRIA' 'CAP-BLANC' 'CAP-BLANC GRAND-GALET'\n",
      " 'GRAND-COUDE - 1' 'GRAND-COUDE - 2' 'BEL-AIR SAINT-JOSEPH'\n",
      " 'PLAINE DES GREGUES 1' 'PLAINE DES GREGUES 2' 'LES LIANES - CIRAD'\n",
      " 'VINCENDO - CIRAD' 'LANGEVIN' 'SAINT-JOSEPH' 'ST-JOSEPH - LEPA'\n",
      " 'FERME HIBON' 'CARREAU-ALFRED' 'COLIMACONS - 1' 'MASCARIN'\n",
      " 'CHALOUPE SAINT-LEU' 'FERME CORAIL - KELONIA' 'STELLA - CAP'\n",
      " 'POINTE AU SEL' 'STELLA - COUR' 'CAP-CAMELIAS - CIRAD' 'LE PLATE'\n",
      " 'PITON-PEPINIERE' 'STELLA - PORTAIL' 'PITON SAINT-LEU - 1'\n",
      " 'PITON SAINT-LEU - 2' 'PLAINE DES MAKES - 1' 'BELLEVUE LES HAUTS - CIRAD'\n",
      " 'BELLEVUE LES BAS' 'BOIS DE NEFLES - SAINT-LOUIS' 'MAISON-ROUGE'\n",
      " 'RIVIERE SAINT-LOUIS' 'BON-ACCUEIL - SAINT-LOUIS' \"L'ALOUETTE\" 'LE GOL'\n",
      " 'SAINT-LOUIS' 'LES SABLES - SAINT-LOUIS' 'LES COCOS - SAINT-LOUIS'\n",
      " 'BEL-AIR SAINT-LOUIS' 'NOUVELLE-TERRE' 'PITON-DEFAUD' 'CAMBAIE'\n",
      " 'SAVANNAH' 'PLATEAU-CAILLOU - CIRAD' 'BERNICA' 'PETITE-FRANCE - IRAT'\n",
      " 'LE GUILLAUME - 1' \"L'EPERON\" 'PETITE FRANCE - 1' 'FORET DES BENARDS'\n",
      " 'SAINT-GILLES LES BAINS' 'MOULIN KADER' 'DEFRICHE-ALOES'\n",
      " 'MUSEE DE VILLELE' 'SAINT-GILLES LES HAUTS' 'PARC A BOEUFS'\n",
      " 'ROCHE-PLATE - MAFATE' 'PITON-MAIDO - 1' \"L'ERMITAGE - 1\" 'VUE-BELLE'\n",
      " 'LA SALINE LES HAUTS - CIRAD' 'VUE-BELLE LES HAUTS - 1'\n",
      " 'BOIS DE NEFLES ST PAUL_CIRAD' 'RAVINE DES CABRIS - 1' 'MON CAPRICE'\n",
      " 'BASSIN-MARTIN - 1' 'FREDELINE' 'MON REPOS' 'BASSIN-MARTIN - CIRAD'\n",
      " 'BASSIN-PLAT' 'LIGNE-PARADIS - 1' 'MONT-VERT' 'GRAND-BOIS - CIRAD'\n",
      " 'SAINT-PIERRE' 'GRANDS-BOIS - 1' 'LE VOLCAN - BORY' 'SAINT-PHILIPPE'\n",
      " 'LA CONVENANCE' 'LA MARE' 'RIVIERE DES PLUIES' 'FLACOURT' 'LA RESSOURCE'\n",
      " 'BOIS-COURT - SAINTE-MARIE' 'BEAUFOND SAINTE-MARIE' 'MOKA'\n",
      " 'MONTAUBAN - 1' \"L'ESPERANCE\" 'BEAUMONT - 1' 'BEAUMONT - 2'\n",
      " 'RAVINE GLISSANTE - CIRAD' 'PITON SAINTE-ROSE' \"RIVIERE DE L'EST - EER\"\n",
      " 'BOIS BLANC' 'SAINTE-ROSE - 1400' 'SAINTE-ROSE - TROIS-TETES'\n",
      " 'SAINTE-ROSE - INDIVIS' 'PITON DES BASALTES' 'CHISNY' 'SAINTE-SUZANNE'\n",
      " 'TROIS-FRERES' 'BEL-AIR SAINTE-SUZANNE' 'MARANCOURT' 'LA RENAISSANCE - 2'\n",
      " 'QUARTIER-FRANCAIS' 'DEUX-RIVES' 'CASABOIS' \"MARE A POULE D'EAU\"\n",
      " 'COTEAU-MAIGRE' 'PITON-TORTUE' 'GRAND-BASSIN' 'BOIS-COURT - PDC'\n",
      " 'FERME ISAUTIER' 'PITON-ROUGE' 'NEZ DE BOEUF - PK8' 'GRANDE FERME'\n",
      " 'NOTRE-DAME DE LA PAIX' 'LE TAMPON - PK11' 'LE TAMPON - VILLE'\n",
      " 'BERIVE - CIRAD' 'BERIVE - 1' 'TROIS-BASSINS' 'BRAS-SEC - CILAOS'\n",
      " 'MARE-SECHE' 'ILET CORDES - 1' 'PAVILLON' 'DZOUMOGNE-DOUBLE' 'MZOUAZIA'\n",
      " 'MT-CHONGUI' 'POROANI MUSEE' 'AJANGOUA' 'MBOUINI' 'MRONABEJA'\n",
      " 'VAHIBE GOULOUE' 'MTSANGAMOUJI' 'SADA' 'COMBANI']\n"
     ]
    }
   ],
   "source": [
    "############ Auteur: L. Duffar ###########\n",
    "############ Décembre 2023 ###########\n",
    "# python 3.8.12\n",
    "# Télécharge les les archives ZIP & et décompresse les fichiers CSV\n",
    "import os\n",
    "import requests\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import datetime\n",
    "import time\n",
    "import sys\n",
    "import gzip\n",
    "\n",
    "# ================ Personalisation ====================\n",
    "# Chemin d'enregistrement local pour les archives gz et les fichiers CSV décompressés\n",
    "folder_gz= r\"X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\archives\\2023 Déc\\base\\M\"\n",
    "folder_csv= r\"X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\"\n",
    "\n",
    "# Terminaison de l'archive mensuelle Météo-France, selon la période souhaitée (1 archive par période et par département dont le numéro sera ajouté automatiquement avant ce template)\n",
    "# ATTENTION: tous ces noms sont variables selon le département et l'année en cours le jour de l'interrogation (ces variations ne sont que partiellement automatisées par le script à ce jour en décembre 2023)\n",
    "# template_end= '_latest-2022-2023.csv' # année précédente et année en cours\n",
    "template_end= '_previous-1950-2021.csv' # de 1950 à 2 ans avant l'année en cours\n",
    "# template_end= '_xxxx-1949.csv' # xxxx sera automatiquement remplacé par l'année indiquée dans le dictionnaire \"first_year\" (début de la première période qui est variable selon le département)\n",
    "\n",
    "# Numéro des Postes météo souhaités (chaine de 8 caractères) - voir fichier \"fiches.json\" sur https://www.data.gouv.fr/fr/datasets/r/1fe544d8-4615-4642-a307-5956a7d90922\n",
    "# LES DEPARTEMENTS CORRESPONDANTS DOIVENT ËTRE PRESENTS DANS LA LISTE DES URLS plus bas après  ======= Initialisation ==========\n",
    "postes= [\n",
    "        # '04088001', '04039001', '04230001',                  # 04: Forcalquier, Castellane, Valensole \\\n",
    "        # '05046001',                                           # 05: Embrun \\\n",
    "        # '06088001', '06029001',                               # 06: Nice, Cannes \\\n",
    "        # '13001009', '13111002', '13103001','13055001',        # 13: Aix en Provence, Vauvenargue, Salon, Marseille, \\\n",
    "        # '83031001', '83061001', '83137001',                   # 83: Le Luc, Fréjus, Toulon \\\n",
    "        # '84003002', '84009002',                               # 84: Apt-Viton, Bastide des Jourdans \\\n",
    "        '97411132', '97411150',                               # 974 LA REUNION: Chaudron, Saint-François \\\n",
    "        '98511001',                                            # 985 MAYOTTE: Mamoudzou_SAPC \\\n",
    "        # '98404001', '98404002',                                 # 984 TERRES AUSTRALES ET ANTARTIQUES FRANCAISES: Kerguelen, Nouvelle Amsterdam \\\n",
    "        ]                               \n",
    "# Choisir d'éviter le téléchargement/décompression\n",
    "# non recommandé, sauf pour test ou à moins que le dernier téléchargement date du mois en cours\n",
    "download= True\n",
    "\n",
    "# ================ Extrait du fichier data CSV ============= (les colonnes sont en réalité séparées par des points-virgules)\n",
    "# NUM_POSTE\tNOM_USUEL\tLAT\tLON\tALTI\tAAAAMM\tRR\tQRR\tNBRR\tRR_ME\tRRAB\tQRRAB\tRRABDAT\tNBJRR1\tNBJRR5\tNBJRR10\tNBJRR30\n",
    "# 13001009\tAIX EN PROVENCE\t43.5295\t5.4245\t173\t202201\t3.6\t1\t31\t\t1.4\t1\t4\t1\t0\t0\t0\n",
    "# 13001009\tAIX EN PROVENCE\t43.5295\t5.4245\t173\t202202\t26.1\t28\t\t24.7\t1\t14\t2\t1\t1\t0\n",
    "# 13001009\tAIX EN PROVENCE\t43.5295\t5.4245\t173\t202203\t6.6\t1\t31\t\t3.6\t1\t30\t2\t0\t0\t0\n",
    "# 13001009\tAIX EN PROVENCE\t43.5295\t5.4245\t173\t202204\t27\t1\t30\t\t17.6\t1\t23\t4\t2\t1\t0\n",
    "# 13001009\tAIX EN PROVENCE\t43.5295\t5.4245\t173\t202205\t26\t1\t31\t\t16.8\t1\t8\t3\t2\t1\t0\n",
    "\n",
    "# ================ Extrait du fichier CSV Descriptif de quelques paramètres (ceux les plus souvent utiles, précipitations et températures) =============(les colonnes sont en réalité séparées par \":\")\n",
    "# NUM_POSTE       \t numéro Météo-France du poste sur 8 chiffres\n",
    "# NOM_USUEL       \t nom usuel du poste\n",
    "# LAT             \t latitude, négative au sud (en degrés et millionièmes de degré)\n",
    "# LON             \t longitude, négative à l’ouest de GREENWICH (en degrés et millionièmes de degré)\n",
    "# ALTI            \t altitude du pied de l'abri ou du pluviomètre si pas d'abri (en m)\n",
    "# AAAAMM          \t mois\n",
    "# RR              \t cumul mensuel des hauteurs de précipitation (en mm et 1/10)\n",
    "# QRR             \t code qualité de RR\n",
    "# NBRR            \t nombre de valeurs présentes de hauteur de précipitation quotidienne\n",
    "# RR_ME           \t cumul mensuel estimé des hauteurs de précipitation (en mm et 1/10)\n",
    "# RRAB            \t précipitation maximale tombée en 24 heures au cours du mois\n",
    "# QRRAB           \t code qualite de RRAB\n",
    "# NBJRR1          \t nombre de jours avec RR ≥ 1.0 mm\n",
    "# TX              \t moyenne mensuelle des températures maximales (TX) quotidiennes (en °C et 1/10)\n",
    "# QTX             \t code qualité de TX\n",
    "# TN              \t moyenne mensuelle des températures minimales (TN) quotidiennes (en °C et 1/10)\n",
    "# QTN             \t code qualité de TN\n",
    "# TM              \t moyenne mensuelle des (TN+TX)/2 quotidiennes (en °C et 1/10)\n",
    "# QTM             \t code qualité de TM\n",
    "# TMM             \t moyenne mensuelle des températures moyennes (TM) quotidiennes (en °C et 1/10)\n",
    "# QTMM            \t code qualité du TMM\n",
    "# TMMIN           \t minimum mensuel des moyennes (TN+TX)/2 quotidiennes (en °C et 1/10)\n",
    "# QTMMIN          \t code qualité de TMMIN\n",
    "# TMMAX           \t maximum mensuel des moyennes (TN+TX)/2 quotidiennes (en °C et 1/10) \n",
    "# QTMMAX          \t code qualité du TMMAX\n",
    "# NBJGELEE        \t nombre de jours avec gelée\n",
    "\n",
    "# ================ Initialisation ====================\n",
    "now= datetime.datetime.now()\n",
    "print(now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "# Structure du nom des fichiers de données mensuelles (1 fichier par département dont le numéro sera ajouté automatiquement au début et à la fin du template ci-dessous)\n",
    "template_start= 'MENSQ_'\n",
    "# Fin du nom dépendant de l'année en cours\n",
    "# template_end= '_latest-' + str(now.year-1) + '-' + str(now.year) + '.csv'\n",
    "\n",
    "# ---------------- urls de téléchargement des archives https://meteo.data.gouv.fr/ (Ajouter d'autres départements si besoin)\n",
    "# valable à la date de décembre 2023 SOUS RESERVE DE MODIFICATION ULTERIEURE PAR METEO-FRANCE\n",
    "url_liste_postes= \"https://www.data.gouv.fr/fr/datasets/r/1fe544d8-4615-4642-a307-5956a7d90922\"\n",
    "url_desc_m = \"https://www.data.gouv.fr/fr/datasets/r/6d4ac560-8f7c-477f-9a3f-3c33137fc04e\"\n",
    "# année de début des mesures par département (0 si pas d'archive avant 1950) Valable à ce jour en décembre 2023 \n",
    "first_year= {'04': 1872, '05': 1877, '06': 1877, '13': 1786, '83': 1871, '84': 1874, '971': 1929, '972': 1905, '973': 1946, '974': 1900, '975': 1915, '984': 0, '985': 1935, \n",
    "             '986': 0, '987': 1853, '988': 1938} \n",
    "urls= dict()\n",
    "urls['04']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/19d07805-7b29-4b90-ba44-a095d7b1a270\", #  (début 1872)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/881ac0db-e8d0-4f62-a185-9fd33d5d5819\",\n",
    "             'latest': \"https://www.data.gouv.fr/fr/datasets/r/5c2d6f73-4162-4f36-bb41-98d7bc3e2ee1\"} \n",
    "urls['05']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/2860cb56-5c15-4d8f-9835-f1707c7d2b11\", #  (début 1877)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/16014ec2-cd93-415e-a3b5-c2f868dfbee2\",                                 \n",
    "             'latest': \"https://www.data.gouv.fr/fr/datasets/r/589b53fd-adef-44a4-b306-1dee1500d2d2\"}\n",
    "urls['06']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/0fee5242-b44b-428d-91ae-bcbecfcad002\", #  (début 1877)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/21ab9616-ccd7-4812-925e-1bf9c38511df\",\n",
    "             'latest': \"https://www.data.gouv.fr/fr/datasets/r/f8bdc686-8c37-4ced-8c36-407148bca194\"}\n",
    "urls['13']= {'old': 'https://www.data.gouv.fr/fr/datasets/r/55a4c65d-ae4e-4b24-9794-a4de27ae498c', #  (début 1786)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/acb2c523-fd78-478e-bb82-ef48da5ee0e4\",\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/78fe3a8a-7f32-44dd-a1b5-8acb841d6cc1'}\n",
    "urls['83']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/4128f344-81af-4215-9e80-ba7f66e1a225\", #  (début 1871)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/7c614ae6-f619-4ee9-b9f2-94863c321d89\",\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/dc5ee912-e84a-4f15-bd08-7f326795ce41'}\n",
    "urls['84']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/99ac95f3-135b-4373-98bb-defbb8761716\", #  (début 1874)\n",
    "             'previous': 'https://www.data.gouv.fr/fr/datasets/r/11b4f6ca-71eb-4865-b0e8-2901c1e83295',\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/75526d6c-81d5-4aad-8961-e9fc2a43f7b5'}\n",
    "urls['971']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/98908922-fe44-41f0-8a71-1c6d63b89afa\", # Ile de la Guadeloupe (début 1929) + Saint Barthélémy/Saint-Martin (EN REALITE 977/978)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/11c2ddb5-e338-4242-98ae-58fda9fc89ba\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/5674e562-8b88-40f1-9544-018d978c8ca1'}\n",
    "urls['972']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/6a547ea1-0d4d-4d39-90f0-ab2b2600dbd8\", # Ile de la Martinique (début 1905)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/5f49b2d3-3b85-43e4-be4f-f990aec3a96c\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/548c4dcf-6f8e-4ac2-8c78-65646d015062'}\n",
    "urls['973']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/22ed6e53-c638-4f98-aaa9-587a048eb3eb\", # Guyane (début 1946)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/24cb299e-5381-43bc-8cc8-31a8ae032ed7\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/eed1b6ab-bf91-4b3b-b2b1-dad212e6dc9a'}\n",
    "urls['974']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/82e3d205-7bce-4834-a2c1-58d202fafd6c\", # Ile de la Réunion (début 1900)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/5999af04-0583-42ee-81ad-355601c4456f\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/50a0d0fb-d97c-4ca3-b308-def80d69416d'}\n",
    "urls['975']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/3129b185-d6ab-4751-8956-10e441439605\", # Saint-Pierre et Miquelon (début 1915)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/c48a8a59-fa42-47e1-bb2f-d3f92eb8d2b6\",\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/86b3a033-b7be-4733-9203-cef708aad6a4'}\n",
    "urls['984']= {'old': \"\",                                                                             # Terres australes et antarctiques françaises (pas d'archive à ce jour avant 1950)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/796716d0-b71f-497a-a374-659f9ddc4e5c\",\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/3a82cde3-63aa-4b57-b8ba-84820e92c910'}\n",
    "urls['985']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/a424db07-25db-46db-bdb2-5a7daff54191\", # Mayotte (début 1935)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/b24a5125-a5c2-4081-88d4-3967de9ab6d4\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/8c5daf91-4634-40d8-822d-27f1c04cf2b4'}\n",
    "urls['986']= {'old': \"\",                                                                               # Wallis et Futuna (pas d'archive à ce jour avant 1950)\n",
    "             'previous': \"https://www.data.gouv.fr/fr/datasets/r/0f91a1e6-9a9a-43e1-8b11-87e36669e1e6\",\n",
    "             'latest': 'https://www.data.gouv.fr/fr/datasets/r/fee9cc39-9ddd-43bb-b8d1-8af4c619f9fa'}\n",
    "urls['987']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/091daad0-aaaf-4a8e-9f6b-cb25e72becab\", # Polynésie Française (début 1853)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/37b40525-8361-4e72-8024-bd7d03ca4631\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/a8f13c11-7442-4997-8431-e7e25168aa8d'}\n",
    "urls['988']= {'old': \"https://www.data.gouv.fr/fr/datasets/r/6ad7de0f-a1f8-4adf-bc62-f7922b541dd5\", # Nouvelle Calédonie (début 1938)\n",
    "              'previous': \"https://www.data.gouv.fr/fr/datasets/r/73592caf-3613-49f6-b1ef-0b9478140c99\",\n",
    "              'latest': 'https://www.data.gouv.fr/fr/datasets/r/eda2d9b4-d815-4d1d-8d70-edd54363a84e'}\n",
    "urls['xx']= {'old': \"\",\n",
    "             'previous': \"\",\n",
    "             'latest': ''}\n",
    "\n",
    "# ---------------- Définition des fonctions\n",
    "def convert_to_date(aaaamm):\n",
    "    return pd.to_datetime(str(aaaamm), format='%Y%m', errors='coerce')\n",
    "\n",
    "def download_file(url, filename):\n",
    "    # dans le string filename, chercher la partie avant l'extension .csv à l'aide du module os.path.splitext\n",
    "    file= os.path.join(folder_gz, filename) + '.gz'\n",
    "    print('Téléchargement: ', file)\n",
    "    response = requests.get(url)\n",
    "    if response.status_code == 200:\n",
    "        with open(file, 'wb') as f:\n",
    "            f.write(response.content)\n",
    "    else:\n",
    "        print(\"Fichier d'archive non présent à l'url habituelle: \", file)\n",
    "\n",
    "def decompress_gz(filename):\n",
    "    file= os.path.join(folder_gz, filename) + '.gz' \n",
    "    if os.path.exists(file):\n",
    "        with gzip.open(file, 'rb') as f_in:\n",
    "            file= os.path.join(folder_csv, os.path.splitext(filename)[0]) + '.csv'\n",
    "            print('Décompression', file)\n",
    "            with open(file, 'wb') as f_out:\n",
    "                f_out.write(f_in.read())\n",
    "    else:\n",
    "        print(\"Fichier d'archive non trouvé: \", file)\n",
    "        print(\"Téléchargez l'archive GZ, manuellement ou en modifiant la variable 'download', puis relancez le script\")\n",
    "\n",
    "def read_csv(filename):\n",
    "    file= os.path.join(folder_csv, os.path.splitext(filename)[0]) + '.csv'\n",
    "    if os.path.exists(file):\n",
    "        print('Lecture: ', file)\n",
    "        df= pd.read_csv(file, header=0, sep=\";\", dtype={\"NUM_POSTE\":str, 'AAAAMM':str}, parse_dates=['AAAAMM'], date_parser= convert_to_date)\n",
    "    else:\n",
    "        print(\"Fichier CSV non trouvé: \", file)\n",
    "        print(\"Téléchargez l'archive GZ, manuellement ou en modifiant la variable 'download', puis relancez le script\")\n",
    "        sys.exit() # interrompt le script\n",
    "    return df\n",
    "\n",
    "# ================ Traitement ====================\n",
    "# Lecture en ligne du fichier JSON de la liste des postes (fichier incomplet à ce jour en décembre 2023, mais seule liste disponible)\n",
    "req= requests.get(url_liste_postes)\n",
    "if req.status_code == 200:\n",
    "    data_json= req.json()\n",
    "else:\n",
    "    print('la requête a échoué avec le code : ', req.status_codes)\n",
    "    sys.exit() # interrompt le script\n",
    "df_liste_postes = pd.DataFrame(data_json['features']).T\n",
    "# Ajout de colonnes avec les champs de properties\n",
    "df_liste_postes['lat'] = df_liste_postes['geometry'].apply(lambda x: x['coordinates'][1]).astype(float)\n",
    "df_liste_postes['lon'] = df_liste_postes['geometry'].apply(lambda x: x['coordinates'][0]).astype(float)\n",
    "df_liste_postes['nom_usuel']= df_liste_postes['properties'].apply(lambda x: x['NOM_USUEL'].strip())\n",
    "df_liste_postes['num_poste']= df_liste_postes['properties'].apply(lambda x: x['NUM_POSTE'].strip())\n",
    "df_liste_postes['commune'] = df_liste_postes['properties'].apply(lambda x: x['COMMUNE'].strip())\n",
    "df_liste_postes['ficheClimComplete'] = df_liste_postes['properties'].apply(lambda x: x['ficheClimComplete']).astype(float)\n",
    "df_liste_postes['ficheClimReduite'] = df_liste_postes['properties'].apply(lambda x: x['ficheClimReduite']).astype(float)\n",
    "df_liste_postes['alti'] = df_liste_postes['properties'].apply(lambda x: x['ALTI'])\n",
    "# supprime les colonnes inutiles et classe par numéro de poste (donc par département)\n",
    "df_liste_postes.drop(['type', 'geometry', 'properties'], axis=1, inplace=True)\n",
    "df_liste_postes.sort_values(by= ['num_poste'], inplace=True)\n",
    "\n",
    "# Lit en ligne le fichier \"MENSQ_descriptif_champs.csv\" de description des champs et le stocke dans un dataframe pandas\n",
    "# définit le dataframe pandas avec les 2 colonnes \"param\" et \"name_long\" pour la description des champs \n",
    "df_desc_m = pd.read_csv(url_desc_m, sep=\":\", header= None, index_col=0, names= [\"param\", \"name_long\", 'complement'], dtype={\"param\":str, \"name_long\":str, 'complement':str}, encoding= 'utf-8')\n",
    "df_desc_m.index= df_desc_m.index.str.strip()\n",
    "df_desc_m['name_long']= df_desc_m['name_long'].str.strip()\n",
    "\n",
    "# fait la liste des départements concernés et garde les 2 premiers chiffres uniques\n",
    "departements = []\n",
    "for poste in postes:\n",
    "    if float(poste[:2]) > 95:\n",
    "        departements.append(poste[:3])\n",
    "    else:\n",
    "        departements.append(poste[:2])\n",
    "\n",
    "# On ne garde que départements uniques\n",
    "departements = list(set(departements)) # set() ignore automatiquement les doublons (ce qui évite de passer par array numpy pour utiliser la fonction np.unique() )\n",
    "# On trie la liste\n",
    "departements.sort()\n",
    "# On affiche la liste\n",
    "print('Départements concernés: ', departements)\n",
    "\n",
    "# Téléchargement/décompression/lecture des fichiers dans une boucle sur les départements (urls tirées du dictionnaire 'urls')\n",
    "i, j= 0, 0\n",
    "for departement in departements:\n",
    "    # url = urls[departement]            \n",
    "    # Formation du nom du fichier à partir du template et du numéro de département (avec le cas particulier de la période la plus ancienne dont l'année de début dépend du département)\n",
    "    # tester si xxxx est dans le string template_end\n",
    "    if 'xxxx' in template_end:\n",
    "        template_end= template_end.replace('xxxx', str(first_year[departement]))\n",
    "    filename = f\"{template_start}{departement}{template_end}\"\n",
    "\n",
    "    if 'latest' in template_end:\n",
    "        url= urls[departement]['latest']\n",
    "    elif 'previous' in template_end:\n",
    "        url= urls[departement]['previous']\n",
    "    else:\n",
    "        url= urls[departement]['old']\n",
    "    \n",
    "    if url != '':   # si url non vide, on télécharge le fichier\n",
    "        if download:\n",
    "            download_file(url, filename)\n",
    "            decompress_gz(filename)\n",
    "        # Lecture du fichier CSV dans un dataframe pandas  \n",
    "        df_departement= read_csv(filename)\n",
    "        if i== 0: # pour le premier département, initialisation du dataframe final df\n",
    "            df= df_departement \n",
    "            i= i+1\n",
    "        else: # sinon concaténation du nouveau département dans llde dataframe df\n",
    "            df= pd.concat([df, df_departement])        \n",
    "    else:     # si url vide   \n",
    "        print(\"Pas d'archive disponible pour ce département et cette période: \", filename)\n",
    "        j= j+1\n",
    "        if j== len(departements): # arrête l'exécution du script si l'archive était absente pour tous les départements\n",
    "            sys.exit()\n",
    "    \n",
    "# supprime les espaces avant et après le numéro de poste\n",
    "df['NUM_POSTE'] = df['NUM_POSTE'].str.strip()\n",
    "# renome la colonne \"AAAMM\" en \"DATE\"\n",
    "df.rename(columns={'AAAAMM':'DATE'}, inplace=True)\n",
    "# supprime les espaces dans les noms de colonnes\n",
    "df.columns= df.columns.str.strip()\n",
    "display(df)\n",
    "\n",
    "# Détection des postes manquants dans la liste JSON\n",
    "postes_mesures= df['NUM_POSTE'].unique()\n",
    "postes_json= df_liste_postes['num_poste'].unique()\n",
    "# trouvrer les postes_mesures absents de la liste JSON\n",
    "postes_absents= np.setdiff1d(postes_mesures, postes_json)\n",
    "if len(postes_absents) > 0:\n",
    "    # trouver le NOM_USEL des postes absents\n",
    "    print(\"Postes des départements absents de la liste JSON:\", postes_absents, df[df['NUM_POSTE'].isin(postes_absents)]['NOM_USUEL'].unique())\n",
    "else:\n",
    "    print(\"Aucun poste des départements absent de la liste JSON\")\n"
   ]
  },
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 2) Affichage des données mensuelles & graphique des précipitations\n",
    "NB: \n",
    "\n",
    "- Définir les dates de début et de fin d'extraction comme suit:\n",
    "    - None pour extraire la totalité des données de l'archive définie par l'utilisateur  dans la cellule 1. La fenêtre temporelle du graphique pourra toujours être modifiée à la souris, mais la péridoe d'extraction conditionne le début de la courbe de pluie cumulée (courbe qui peut être masquée à la souris)\n",
    "    - ou définir la date de début et de fin, ce qui permet définit notamment le début de la courbe de pluie cumulée.\n",
    "- Définir le ou les paramètres à extraire (au minimum les précipitations RR car le graphique est uniquement prévu pour cela)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-12-31 13:25\n",
      "Données mensuelles des 2 derniers mois de l'archive demandée et pour les paramètres choisis: Attention le cumul du dernier mois est incomplet à ce jour\n",
      "- RR: cumul mensuel des hauteurs de précipitation (en mm et 1/10)\n",
      "- TM: moyenne mensuelle des (TN+TX)/2 quotidiennes (en °C et 1/10)\n",
      "- FXYAB: maximum absolu mensuel de la force maximale quotidienne du vent moyenné sur 10 mn (FXY), à 10 m (en m/s et 1/10)\n"
     ]
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NOM_USUEL</th>\n",
       "      <th>CHAUDRON</th>\n",
       "      <th>MAMOUDZOU_SAPC</th>\n",
       "      <th>SAINT-FRANCOIS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parametre</th>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">RR</th>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>17.0</td>\n",
       "      <td>118.5</td>\n",
       "      <td>116.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>145.6</td>\n",
       "      <td>81.3</td>\n",
       "      <td>148.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">TM</th>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>25.7</td>\n",
       "      <td>27.7</td>\n",
       "      <td>21.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>27.2</td>\n",
       "      <td>28.4</td>\n",
       "      <td>23.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">FXYAB</th>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-12-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "NOM_USUEL             CHAUDRON  MAMOUDZOU_SAPC  SAINT-FRANCOIS\n",
       "parametre DATE                                                \n",
       "RR        2021-11-01      17.0           118.5           116.8\n",
       "          2021-12-01     145.6            81.3           148.7\n",
       "TM        2021-11-01      25.7            27.7            21.9\n",
       "          2021-12-01      27.2            28.4            23.5\n",
       "FXYAB     2021-11-01       NaN             NaN             NaN\n",
       "          2021-12-01       NaN             NaN             NaN"
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          "1979-04-01T00:00:00",
          "1979-05-01T00:00:00",
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          "1980-03-01T00:00:00",
          "1980-04-01T00:00:00",
          "1980-05-01T00:00:00",
          "1980-06-01T00:00:00",
          "1980-07-01T00:00:00",
          "1980-08-01T00:00:00",
          "1980-09-01T00:00:00",
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          "1980-11-01T00:00:00",
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          "1982-01-01T00:00:00",
          "1982-02-01T00:00:00",
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          "1982-04-01T00:00:00",
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          "1982-08-01T00:00:00",
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          "1982-11-01T00:00:00",
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          "1983-01-01T00:00:00",
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          "1990-01-01T00:00:00",
          "1990-02-01T00:00:00",
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          "1991-01-01T00:00:00",
          "1991-02-01T00:00:00",
          "1991-03-01T00:00:00",
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          "1992-01-01T00:00:00",
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          "1992-04-01T00:00:00",
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          "1992-06-01T00:00:00",
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          "1994-03-01T00:00:00",
          "1994-04-01T00:00:00",
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          "1994-06-01T00:00:00",
          "1994-07-01T00:00:00",
          "1994-08-01T00:00:00",
          "1994-09-01T00:00:00",
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          "1994-11-01T00:00:00",
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          "1995-01-01T00:00:00",
          "1995-02-01T00:00:00",
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          "2000-04-01T00:00:00",
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          "2000-06-01T00:00:00",
          "2000-07-01T00:00:00",
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          "2001-04-01T00:00:00",
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          "2001-06-01T00:00:00",
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          "2001-09-01T00:00:00",
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          "2002-02-01T00:00:00",
          "2002-03-01T00:00:00",
          "2002-04-01T00:00:00",
          "2002-05-01T00:00:00",
          "2002-06-01T00:00:00",
          "2002-07-01T00:00:00",
          "2002-08-01T00:00:00",
          "2002-09-01T00:00:00",
          "2002-10-01T00:00:00",
          "2002-11-01T00:00:00",
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          "2003-01-01T00:00:00",
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          "2004-05-01T00:00:00",
          "2004-06-01T00:00:00",
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          "2008-11-01T00:00:00",
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          "2009-05-01T00:00:00",
          "2009-06-01T00:00:00",
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          "2010-01-01T00:00:00",
          "2010-02-01T00:00:00",
          "2010-03-01T00:00:00",
          "2010-04-01T00:00:00",
          "2010-05-01T00:00:00",
          "2010-06-01T00:00:00",
          "2010-07-01T00:00:00",
          "2010-08-01T00:00:00",
          "2010-09-01T00:00:00",
          "2010-10-01T00:00:00",
          "2010-11-01T00:00:00",
          "2010-12-01T00:00:00",
          "2011-01-01T00:00:00",
          "2011-02-01T00:00:00",
          "2011-03-01T00:00:00",
          "2011-04-01T00:00:00",
          "2011-05-01T00:00:00",
          "2011-06-01T00:00:00",
          "2011-07-01T00:00:00",
          "2011-08-01T00:00:00",
          "2011-09-01T00:00:00",
          "2011-10-01T00:00:00",
          "2011-11-01T00:00:00",
          "2011-12-01T00:00:00",
          "2012-01-01T00:00:00",
          "2012-02-01T00:00:00",
          "2012-03-01T00:00:00",
          "2012-04-01T00:00:00",
          "2012-05-01T00:00:00",
          "2012-06-01T00:00:00",
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          "2013-01-01T00:00:00",
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          "2013-04-01T00:00:00",
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          "2014-03-01T00:00:00",
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          "2014-06-01T00:00:00",
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          "2015-01-01T00:00:00",
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          "1975-08-01T00:00:00",
          "1975-09-01T00:00:00",
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          "1976-01-01T00:00:00",
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          "1976-03-01T00:00:00",
          "1976-04-01T00:00:00",
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          "1980-07-01T00:00:00",
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          "1990-01-01T00:00:00",
          "1990-02-01T00:00:00",
          "1990-03-01T00:00:00",
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          "1991-01-01T00:00:00",
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          "1991-03-01T00:00:00",
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          "1996-01-01T00:00:00",
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          "2001-04-01T00:00:00",
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          "2001-06-01T00:00:00",
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          "2002-02-01T00:00:00",
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          "2002-04-01T00:00:00",
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          "2002-06-01T00:00:00",
          "2002-07-01T00:00:00",
          "2002-08-01T00:00:00",
          "2002-09-01T00:00:00",
          "2002-10-01T00:00:00",
          "2002-11-01T00:00:00",
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          "2003-01-01T00:00:00",
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          "2004-06-01T00:00:00",
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          "2010-01-01T00:00:00",
          "2010-02-01T00:00:00",
          "2010-03-01T00:00:00",
          "2010-04-01T00:00:00",
          "2010-05-01T00:00:00",
          "2010-06-01T00:00:00",
          "2010-07-01T00:00:00",
          "2010-08-01T00:00:00",
          "2010-09-01T00:00:00",
          "2010-10-01T00:00:00",
          "2010-11-01T00:00:00",
          "2010-12-01T00:00:00",
          "2011-01-01T00:00:00",
          "2011-02-01T00:00:00",
          "2011-03-01T00:00:00",
          "2011-04-01T00:00:00",
          "2011-05-01T00:00:00",
          "2011-06-01T00:00:00",
          "2011-07-01T00:00:00",
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          "2011-11-01T00:00:00",
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          "2012-01-01T00:00:00",
          "2012-02-01T00:00:00",
          "2012-03-01T00:00:00",
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          "2013-01-01T00:00:00",
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          "2014-06-01T00:00:00",
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          "2015-01-01T00:00:00",
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          "2016-01-01T00:00:00",
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          "1984-03-01T00:00:00",
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          "1990-01-01T00:00:00",
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          "1991-01-01T00:00:00",
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     "text": [
      "Données mensuelles de l'archive demandée complète pour les paramètres choisis: \n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>NOM_USUEL</th>\n",
       "      <th>CHAUDRON</th>\n",
       "      <th>MAMOUDZOU_SAPC</th>\n",
       "      <th>SAINT-FRANCOIS</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>parametre</th>\n",
       "      <th>DATE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">RR</th>\n",
       "      <th>1953-03-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>240.1</td>\n",
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       "    <tr>\n",
       "      <th>1953-04-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>85.6</td>\n",
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       "    <tr>\n",
       "      <th>1953-05-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>208.8</td>\n",
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       "    <tr>\n",
       "      <th>1953-06-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.9</td>\n",
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       "    <tr>\n",
       "      <th>1953-07-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.5</td>\n",
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       "      <th rowspan=\"5\" valign=\"top\">FXYAB</th>\n",
       "      <th>2021-08-01</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-09-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021-10-01</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2021-11-01</th>\n",
       "      <td>NaN</td>\n",
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       "      <th>2021-12-01</th>\n",
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       "<p>2478 rows × 3 columns</p>\n",
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       "NOM_USUEL             CHAUDRON  MAMOUDZOU_SAPC  SAINT-FRANCOIS\n",
       "parametre DATE                                                \n",
       "RR        1953-03-01       NaN             NaN           240.1\n",
       "          1953-04-01       NaN             NaN            85.6\n",
       "          1953-05-01       NaN             NaN           208.8\n",
       "          1953-06-01       NaN             NaN            57.9\n",
       "          1953-07-01       NaN             NaN            57.5\n",
       "...                        ...             ...             ...\n",
       "FXYAB     2021-08-01       NaN             NaN             NaN\n",
       "          2021-09-01       NaN             NaN             NaN\n",
       "          2021-10-01       NaN             NaN             NaN\n",
       "          2021-11-01       NaN             NaN             NaN\n",
       "          2021-12-01       NaN             NaN             NaN\n",
       "\n",
       "[2478 rows x 3 columns]"
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   "source": [
    "# Graphique des précipitations avec la colonne 'DATE' en abscisse et la colonne 'RR' en ordonnée + Affichage des 2 dernière valeurs mensuelles\n",
    "# chaque poste de la colonnee 'NUM_POSTE' est représenté dans un subplot séparé\n",
    "import plotly.graph_objects as go\n",
    "from plotly.subplots import make_subplots\n",
    "import plotly\n",
    "\n",
    "#-------------- Personalisation du graphique \n",
    "# Paramètres à représenter: 'RR' obligatoire en premier, pour le graphique dont la présentation actuelle est spécialement adaptée aux précipitations\n",
    "param_list= ['RR', 'TM', 'FXYAB']\n",
    "\n",
    "# Période à représenter (None pour le début ou la fin du fichier par défaut)\n",
    "start_date= None\n",
    "# start_date= datetime.datetime(2022, 5, 1)\n",
    "\n",
    "end_date= None\n",
    "# end_date= datetime.datetime(now.year, now.month, now.day)\n",
    "\n",
    "#-------------- initialisation des paramètres du graphique\n",
    "param_RR= 'RR'\n",
    "# Période par défaut if start_date= None ou  end_date= None\n",
    "if start_date is None:\n",
    "    start_date= df['DATE'].min()\n",
    "if end_date is None:\n",
    "    end_date= df['DATE'].max()\n",
    "\n",
    "# période du GRAPHIQUE : TODO premier jour du premier mois au début du mois suivant (pour une graduation clair de l'axe des dates)\n",
    "end_graph= end_date= df['DATE'].max()\n",
    "# calcule start_graph  comme le premier jour de l'année précedent end_date\n",
    "start_graph= datetime.datetime(end_graph.year-1, 1, 1)\n",
    "\n",
    "# if now.month == 1:  # Si le mois actuel est janvier\n",
    "#     start_graph = datetime.datetime(now.year - 1, 12, 1)\n",
    "# else:  # Pour tous les autres mois\n",
    "#     start_graph = datetime.datetime(now.year, now.month - 1, 1)\n",
    "\n",
    "# filtre le dataframe sur les postes choisis\n",
    "df_postes= df[df['NUM_POSTE'].isin(postes)]\n",
    "# filtre le dataframe sur la période souhaitée\n",
    "df_postes= df_postes[(df_postes['DATE'] >= start_date) & (df_postes['DATE'] <= end_date)]\n",
    "\n",
    "#  Couleurs des courbes\n",
    "color_sequence_bar = plotly.colors.qualitative.Set3\n",
    "color_sequence_scatter = plotly.colors.qualitative.Pastel\n",
    "\n",
    "# Axe des ordonnées secondaire (cumulé)\n",
    "specs= [[{'secondary_y': True}]]*len(postes)\n",
    "\n",
    "#=========================== Graphique\n",
    "fig = make_subplots(rows= len(postes), cols= 1,# shared_xaxes= True, # shared_xaxes= True inutile grâce à  matches='x' dans update_xaxes qui fait la même chose sans supprimer la graduation des dates des subplots \n",
    "                    subplot_titles= [f\"{poste} - {df_postes[df_postes['NUM_POSTE'] == poste]['NOM_USUEL'].iloc[0]}\" for poste in postes], specs= specs)\n",
    "\n",
    "for i, poste in enumerate(postes):\n",
    "    df_poste = df_postes[df_postes['NUM_POSTE'] == poste]\n",
    "    fig.add_trace(go.Bar(x= df_poste['DATE'], y= df_poste[param_RR], \n",
    "                          # name= poste\n",
    "                         name= df_postes[df_postes['NUM_POSTE'] == poste]['NOM_USUEL'].iloc[0],\n",
    "                         marker= dict(color=color_sequence_bar[i % len(color_sequence_bar)]),  # Utilisez la couleur correspondante de la séquence\n",
    "                         ),\n",
    "                row= i+1, col= 1)\n",
    "    fig.add_trace(go.Scatter(x= df_poste['DATE'], y= df_poste[param_RR].cumsum(), \n",
    "                             name= f\"Cumulé {poste}\", yaxis= \"y2\",\n",
    "                             line= dict(color= 'gray'),\n",
    "                            #  line= dict(color= color_sequence_scatter[i % len(color_sequence_scatter)]), # sinon l'incrémentation dans la séquence de couleurs est de +2 à cause de la trace Bar\n",
    "                             mode='lines' \n",
    "                             ), \n",
    "                 row=i+1, col=1, secondary_y= True)\n",
    "\n",
    "fig.update_layout(title_text= 'meteo.data.gouv.fr - ' + \"Précipitations mensuelles (mm) - \" + now.strftime(\"%Y-%m-%d\") , title_x= 0.5, \n",
    "                  height= 133.*(len(postes)+1), width= 1000,\n",
    "                  hovermode= 'x unified', hoverlabel= dict(bgcolor='rgba(255,255,255,0.6)'),\n",
    "                  )\n",
    "\n",
    "# masque les traces scatter en laissant la possbilité de les afficher à nouveau, sauf pour la période est la plus récente LATEST\n",
    "if 'latest' not in template_end: # si la période est la plus récente\n",
    "    for i in range(1, len(postes) + 1):\n",
    "        fig.update_traces(visible='legendonly', selector=dict(name=f\"Cumulé {postes[i-1]}\"))\n",
    "\n",
    "# Survol par la souris : ligne verticale à travers tous les subplots matérialisant l'abscisse \n",
    "xlast= 'x' + str(len(postes))\n",
    "# fig.update_traces(xaxis= xlast)  # xlast est le nom de l'axe des abscisses du dernier subplot\n",
    "\n",
    "# Définition générale des axes\n",
    "max_value= df_postes[param_RR].max()\n",
    "max_value_cum= df_postes.groupby(['NUM_POSTE']).sum()[param_RR].max()\n",
    "fig.update_yaxes(secondary_y= False, range= [0, max_value])  # Axe principale: Replace max_value with the desired maximum coordinate\n",
    "fig.update_yaxes(secondary_y= True, title_text= \"Cumulé\", range= [0, max_value_cum]) # Axe secondaire: Replace max_value with the desired maximum coordinate\n",
    "\n",
    "# Graduations de l'axe des DATES ...............................................................\n",
    "if end_graph - start_graph > datetime.timedelta(days= 365): # Plus d'un an\n",
    "    tickformat= '%b\\n%Y'\n",
    "    dtick= 'M6'\n",
    "    showgrid_x= True\n",
    "else: # Moins d'un an\n",
    "    tickformat= '%b %Y'\n",
    "    dtick= 'M1'\n",
    "    showgrid_x= False\n",
    "# ...............................Premiers subplots\n",
    "# ................................................ en fonction de la longueur de la période\n",
    "for i in range(1, len(postes) + 1):\n",
    "    fig.update_xaxes(tickformat= tickformat, tickmode= 'linear', dtick= dtick, row=i, col=1, matches='x')\n",
    "# ...............................Dernier subplot\n",
    "# ................................................ en fonction de la longueur de la période\n",
    "fig.update_xaxes(tickformat= tickformat, tickmode= 'linear', dtick= dtick, row=len(postes), col=1, matches='x', range=[start_graph, end_graph])\n",
    "#                                                SANS tenir compte de la longueur de la période\n",
    "# fig.update_xaxes(tickformat= '%b\\n%Y', tickmode= 'linear', dtick= 'M1', row=len(postes), col=1, matches='x')\n",
    "\n",
    "# GRILLE .............................................................................\n",
    "# .................. verticales...\n",
    "fig.update_xaxes(showgrid= showgrid_x, gridwidth= 1, gridcolor= 'white')\n",
    "# .................. horizontales\n",
    "#                                Axe secondaire:\n",
    "fig.update_yaxes(secondary_y=True, showgrid=False) # pas de grille\n",
    "\n",
    "\n",
    "#-------------- sauvegarde le graphique\n",
    "file_graph= \"meteo.data MENS\"\n",
    "fig.write_html(os.path.join(folder_csv, file_graph + template_end[:-4] + \".html\"))\n",
    "# sauvegarde le graphique dans un fichier png\n",
    "fig.write_image(os.path.join(folder_csv, file_graph + template_end[:-4] + \".png\"))\n",
    "\n",
    "#=========================== Affichage des 2 dernières valeurs mensuelles\n",
    "#-------------- Valeurs quotidiennes pivotée pour la présentation avec les postes en colonnes\n",
    "#               pour les postes et les paramètres SELECTIONNES, SUR la durée COMPLETE\n",
    "for i, par in enumerate(param_list):\n",
    "    if i==0:\n",
    "        df_m = df[df['NUM_POSTE'].isin(postes)].pivot(index='DATE', columns='NOM_USUEL', values= param_list[i]) \\\n",
    "            .assign(parametre= par)\n",
    "    else:\n",
    "        # append des lignes à df_m\n",
    "        df_m = pd.concat([df_m,\n",
    "                        df[df['NUM_POSTE'].isin(postes)].pivot(index='DATE', columns='NOM_USUEL', values= param_list[i]) \\\n",
    "                        .assign(parametre= par)]\n",
    "                        )\n",
    "df_m= df_m.reset_index().set_index(['parametre', 'DATE'], drop= True)\n",
    "\n",
    "#-------------- Affichage\n",
    "print(datetime.datetime.now().strftime(\"%Y-%m-%d %H:%M\"))\n",
    "# imprimer un avertissement si la dernière date du dataframe est antérieure au dernier jour du mois en cours\n",
    "\n",
    "titre= \"Données mensuelles des 2 derniers mois de l'archive demandée et pour les paramètres choisis: \"\n",
    "titre= titre + 'Attention le cumul du dernier mois est incomplet à ce jour'\n",
    "print(titre)\n",
    "for i, par in enumerate(param_list):\n",
    "    titre= '- ' + par + ': ' + df_desc_m.loc[par]['name_long']\n",
    "    print(titre)\n",
    "# month_before_now= datetime.datetime(now.year, now.month, 1) - datetime.timedelta(days= 30)\n",
    "month_before= end_date - datetime.timedelta(days= 30)\n",
    "display(df_m[(df_m.index.get_level_values(1) >= month_before) & (df_m.index.get_level_values(1) <= end_date)])\n",
    "\n",
    "fig.show()\n",
    "\n",
    "titre_m= \"Données mensuelles de l'archive demandée complète pour les paramètres choisis: \"\n",
    "print(titre_m)\n",
    "display(df_m)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### 3) Sauvegarde les données intégrales dans un fichier Excel (tous les paramètres pour tous les postes des départements concernés)\n",
    "Le fichier est sauvegardé dans le même dossier local que les fichiers CSV décompressés"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2023-12-29 11:00\n",
      "Sauvegarde en cours, patientez...\n",
      "2023-12-29 11:00\n",
      "Ficher Excel sauvegardé:  X:\\1-COMMUN\\DIS\\Documentation\\Hydrologie\\Documentation externe\\Climat France\\Météo-France\\meteo.data\\base\\M\\meteo.data MENS_984_previous-1950-2021.xlsx\n"
     ]
    }
   ],
   "source": [
    "# Sauvegarde toutes les informations dans un fichier Excel\n",
    "print(now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "print('Sauvegarde en cours, patientez...')\n",
    "file= os.path.join(folder_csv, \"meteo.data MENS\" + '_' + '-'.join(departements) + template_end[:-4] + \".xlsx\")\n",
    "writer = pd.ExcelWriter(file, engine='xlsxwriter')\n",
    "workbook  = writer.book\n",
    "#======================== Sauvegarde la liste des postes dans le fichier excel\n",
    "\n",
    "# sauvegarde dans un fichier excel plus lisible que le JSON après suppression des colonnes type, geometry et properties\n",
    "sheet= 'liste_postes'\n",
    "df_liste_postes.to_excel(writer, sheet_name= sheet, index= False, startrow= 0)\n",
    "\n",
    "#======================== Sauvegarde la liste des champs dans le fichier Excel\n",
    "sheet= 'MENSQ_descriptif_champs'\n",
    "df_desc_m.to_excel(writer, sheet_name= sheet, index= True, startrow= 1)\n",
    "worksheet = writer.sheets[sheet]\n",
    "worksheet.write('A1', sheet + '.csv')\n",
    "                \n",
    "sheet= 'donnée complètes'\n",
    "df.to_excel(writer, sheet_name= sheet, index=False, startrow= 2)\n",
    "worksheet = writer.sheets[sheet]\n",
    "worksheet.write('A1', now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "worksheet.write('A2', 'Données LATEST quotidiennes au format original, complètes pour tous les départements concernés: ')\n",
    "\n",
    "#======================== Sauvegarde les dataframes dans le fichier Excel\n",
    "sheet= 'donnée complètes'\n",
    "df.to_excel(writer, sheet_name= sheet, index=False, startrow= 2)\n",
    "worksheet = writer.sheets[sheet]\n",
    "worksheet.write('A1', now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "worksheet.write('A2', \"Données mensuelles LATEST (depuis le début de l'année précédente) au format original, complètes pour tous les départements concernés: \")\n",
    "\n",
    "# ajoute un onglet exel avec df_m\n",
    "n_param= len(param_list)\n",
    "sheet= 'MENS Sélection'\n",
    "df_m.to_excel(writer, sheet_name= sheet, index=True, startrow= n_param + 2)\n",
    "worksheet = writer.sheets[sheet]\n",
    "worksheet.write('A1', now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "worksheet.write('A2', titre_m)\n",
    "for i, par in enumerate(param_list):\n",
    "    titre= '- ' + par + ': ' + df_desc_m.loc[par]['name_long']\n",
    "    worksheet.write('A' + str(i+3), titre)\n",
    "\n",
    "# ajoute un onglet excel et enregistre une image statique du graphique\n",
    "sheet= 'graph'\n",
    "worksheet = workbook.add_worksheet(sheet)\n",
    "worksheet.insert_image('A1', os.path.join(folder_csv, file_graph + template_end[:-4] + \".png\"))\n",
    "\n",
    "writer.save()\n",
    "\n",
    "print(now.strftime(\"%Y-%m-%d %H:%M\"))\n",
    "print('Ficher Excel sauvegardé: ', file)"
   ]
  }
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