{"id":18323387,"url":"https://github.com/camara94/data_analyse_series_temporelles","last_synced_at":"2025-04-09T14:46:51.381Z","repository":{"id":100386362,"uuid":"463719702","full_name":"camara94/data_analyse_series_temporelles","owner":"camara94","description":"Dans ce tutoriel, nous allons répondre aux questions suivantes: 1. Lire les données Microsoft à l'aide du package **Pandas Data reader** 2. Obtenez le **prix maximum** de l'action de **2017 à 2022** 3. Quelle est la **date du cours le plus élevé** de l'action ? 4. 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Lire les données Microsoft à l'aide du package **Pandas Data reader** \n2. Obtenez le **prix maximum** de l'action de **2017 à 2022** \n3. Quelle est la **date du cours le plus élevé** de l'action ?\n4. Quelle est la **date du cours le plus bas** de l'action ?\n\n## Installation du Package pandas_reader\n\n\u003cpre\u003e\n\u003ccode\u003e\n    !pip install pandas-datareader\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Importation des Package\n\n\u003cpre\u003e\n\u003ccode\u003e\n\timport pandas_datareader as pdr\n\timport matplotlib.pyplot as plt\n\timport numpy as np\n\tplt.style.use('ggplot')\n\t%matplotlib inline\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Site Yahoo Finance\n\nNous allons récupérer la référence de Microsoft sur le **site de yahoo finances** à travers ce lien ci-dessous:\n\n[https://finance.yahoo.com/quote/MSFT/](https://finance.yahoo.com/quote/MSFT/)\n\n## Créer le Dataset des Actions de microsoft\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tdf_microsoft = pdr.get_data_yahoo('MSFT')\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Répresantation de la Colonne Close\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tplt.figure(figsize=(16,6))\n\tplt.plot(df_microsoft.loc['2017','Close'])\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Quelques Aggrégations\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tles_max = df_microsoft.High.resample('W').agg(['max', 'mean'])\n\tles_min = df_microsoft.High.resample('W').agg(['min'])\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Répresentation Personnalisée\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tplt.figure(figsize=(16,6))\n\tles_max['2018']['mean'].plot(c='green')\n\tplt.fill_between(\n    \t\tles_max['2018'].index,\n    \t\tles_max['2018']['max'],\n    \t\tles_min['2018']['min'],\n    \t\talpha=0.3\n\t)\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Les Prix Minimum et Maximum de 2017 à 2022\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tprice_max_from_2017_to_2022 = df_microsoft.High.agg(['max'])\n\tprice_min_from_2017_to_2022 = df_microsoft.Low.agg(['min'])\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Affichage du Prix Minimum et Maximum\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tindex_max = df_microsoft[df_microsoft['High'] == price_max_from_2017_to_2022['max']].index\n\tindex_min = df_microsoft[df_microsoft['Low'] == price_min_from_2017_to_2022['min']].index\n\tplt.figure(figsize=(16, 8))\n\tplt.plot(df_microsoft.index, df_microsoft.High, c='g')\n\tplt.scatter(np.array([index_max]), price_max_from_2017_to_2022['max'], lw=13, c=\"b\", label=f'Le {index_max[0].strftime(\"%d/%m%Y\")}')\n\tplt.scatter(np.array([index_min]), price_min_from_2017_to_2022['min'], lw=13, c=\"r\" , label=f'Le {index_min[0].strftime(\"%d/%m/%Y\")}')\n\tplt.legend()\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Définition d'une periode_fr\n\nCette fonction permet de retourner la periode en français\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tdef periode_fr(periode):\n    \t\tp = ''\n    \t\tif periode == 'Q':\n        \t\tp = 'Trimestre'\n    \t\telif periode == 'M':\n        \t\tp = 'Mois'\n    \t\telif periode == 'D':\n        \t\tp = 'Jour'\n    \t\telif periode == 'W':\n        \t\tp = 'Semaine'\n    \t\treturn p\n\u003c/code\u003e\n\u003c/pre\u003e\n\n## Répresentation Personnalisée des Colonnes\n\n\u003cpre\u003e\n\u003ccode\u003e\n\tdef graphiphique_perso(df_microsoft, periode, annee, col, fun_agg, c='g'):\n    \t\tdata = df_microsoft.resample(periode).agg(['max', 'mean', 'min']);\n    \t\tplt.figure(figsize=(16, 5))\n    \t\tplt.plot(data[annee][col][fun_agg], label=f'{fun_agg}', c=c)\n    \t\tplt.fill_between(\n        \t\tdata[annee][col].index, \n        \t\tdata[annee][col]['min'], \n        \t\tdata[annee][col]['max'],\n        \t\talpha=0.3)\n    \t\tplt.title(f'L\\'analyse de la colonne {col} par {periode_fr(periode)}')\n    \t\tplt.legend();\n\u003c/code\u003e\n\u003c/pre\u003e","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fdata_analyse_series_temporelles","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fcamara94%2Fdata_analyse_series_temporelles","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fcamara94%2Fdata_analyse_series_temporelles/lists"}