{ "cells": [ { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "!pip install matplotlib\n", "%matplotlib inline\n", "!pip install pandas" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Traitement de données" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Source csv : [https://www.data.gouv.fr/fr/datasets/indices-qualite-de-lair-citeair-journaliers-par-polluant-sur-lile-de-france-les-departements-les-communes-franciliennes-et-les-arrondissements-parisiens/](https://www.data.gouv.fr/fr/datasets/indices-qualite-de-lair-citeair-journaliers-par-polluant-sur-lile-de-france-les-departements-les-communes-franciliennes-et-les-arrondissements-parisiens/)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "1. Executer le programme et noter le résultat fourni." ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Moyenne annuelle indice no2 : 33.41208791208791\n" ] } ], "source": [ "f = open(\"indices_QA_commune_IDF_2017.csv\", \"r\")\n", "entete = f.readline()\n", "s_no2,n = 0,0\n", "ligne = f.readline()\n", "while ligne != \"\" :\n", " date,ninsee,no2,o3,pm10 = ligne.split(\",\")\n", " if ninsee == '93066' :\n", " n += 1\n", " s_no2 += int(no2)\n", " ligne = f.readline()\n", "print(\"Moyenne annuelle indice no2 :\", s_no2/n)\n", "f.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "2. Modifier le programme pour qu'il affiche aussi les moyennes annuelles des indices O$_3$ et PM10." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Moyenne annuelle indice no2 : 33.41208791208791\n", "Moyenne annuelle indice o3 : 30.27747252747253\n", "Moyenne annuelle indice pm10 : 33.032967032967036\n" ] } ], "source": [ "f = open(\"indices_QA_commune_IDF_2017.csv\", \"r\")\n", "entete = f.readline()\n", "s_no2,s_o3,s_pm10,n = 0,0,0,0\n", "ligne = f.readline()\n", "while ligne != \"\" :\n", " date,ninsee,no2,o3,pm10 = ligne.split(\",\")\n", " if ninsee == '93066' :\n", " n += 1\n", " s_no2 += int(no2)\n", " s_o3 += int(o3)\n", " s_pm10 += int(pm10)\n", " ligne = f.readline()\n", "print(\"Moyenne annuelle indice no2 :\", s_no2/n)\n", "print(\"Moyenne annuelle indice o3 :\", s_o3/n)\n", "print(\"Moyenne annuelle indice pm10 :\", s_pm10/n)\n", "f.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "3. Modifier le programme pour qu'il affiche ces informations pour une autre commune au choix, dont on cherchera le code INSEE." ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "scrolled": false }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Moyenne annuelle indice no2 : 20.821428571428573\n", "Moyenne annuelle indice o3 : 31.03846153846154\n", "Moyenne annuelle indice pm10 : 26.521978021978022\n" ] } ], "source": [ "f = open(\"indices_QA_commune_IDF_2017.csv\", \"r\")\n", "entete = f.readline()\n", "s_no2,s_o3,s_pm10,n = 0,0,0,0\n", "ligne = f.readline()\n", "while ligne != \"\" :\n", " date,ninsee,no2,o3,pm10 = ligne.split(\",\")\n", " if ninsee == '77288' : #commune de Melun ... Département : Seine-et-Marne \n", " n += 1\n", " s_no2 += int(no2)\n", " s_o3 += int(o3)\n", " s_pm10 += int(pm10)\n", " ligne = f.readline()\n", "print(\"Moyenne annuelle indice no2 :\", s_no2/n)\n", "print(\"Moyenne annuelle indice o3 :\", s_o3/n)\n", "print(\"Moyenne annuelle indice pm10 :\", s_pm10/n)\n", "f.close()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualisation de données avec Pandas" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "2. Exécuter le programme et observer le graphique produit." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "image/png": 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7W1+UmsgkGNLFLILrBUJvzsMok6KmYOjVJBdHqgCVBx29jjbNAGJmXkvRDdNA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\nzgNwEMCrOOdLpd85A3LQGEZyIYYuLy/nmpawulWWXKKL/8D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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pnd\n", "import matplotlib.pyplot as plt\n", "sd = pnd.read_csv(\"Chap5_indicesSaintDenis.csv\")\n", "sd.pm10.plot()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "3. Modifier ce programme pour observer l'évoultion d'un autre critère de pollution au choix." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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dateninseeno2o3pm10
001/01/20179306624637
102/01/201793066301235
203/01/20179306636945
304/01/201793066341930
405/01/201793066451842
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" ], "text/plain": [ " date ninsee no2 o3 pm10\n", "0 01/01/2017 93066 24 6 37\n", "1 02/01/2017 93066 30 12 35\n", "2 03/01/2017 93066 36 9 45\n", "3 04/01/2017 93066 34 19 30\n", "4 05/01/2017 93066 45 18 42" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "sd.head() #sd.tail() #09/01/2017 ? #09/02/2017 ? #sd.shape" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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8y8UNLRLr+nK4/vVbxH0EUuhV21PEGREUTUac0cAzvaeB5RJOkaQznwPHSyHf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\nrorcdgOAbZzzTQC2+dcTgzys0/u7YWgMW9fHN8OJgxwR3nd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"text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pnd\n", "import matplotlib.pyplot as plt\n", "sd = pnd.read_csv(\"Chap5_indicesSaintDenis.csv\")\n", "sd[\"o3\"].plot()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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4pEt+IdccehoLdOKoAt5muq5DP7c8vlySzAF5FytC54M51EgiZC6HPtyhN6Jc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gAAAJ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\nAAAASUVORK5CYII=\n", "text/plain": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import pandas as pnd\n", "import matplotlib.pyplot as plt\n", "sd = pnd.read_csv(\"Chap5_indicesSaintDenis.csv\")\n", "sd[\"no2\"].plot()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.1" } }, "nbformat": 4, "nbformat_minor": 2 }