{ "cells": [ { "cell_type": "markdown", "id": "790a6e9e", "metadata": {}, "source": [ "

Tp communes de Vendée

" ] }, { "cell_type": "markdown", "id": "048d088c", "metadata": {}, "source": [ "

1. Importer les données du fichier Communes_Vendée_2010.csv en une table appelée Villes

" ] }, { "cell_type": "code", "execution_count": null, "id": "e750a459", "metadata": { "scrolled": true }, "outputs": [], "source": [ "import csv\n", "\n" ] }, { "cell_type": "markdown", "id": "1acc30d1", "metadata": {}, "source": [ "

2. Modifier cette table pour que le type des données soit cohérent

" ] }, { "cell_type": "code", "execution_count": null, "id": "9791a4b0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "b522e585", "metadata": {}, "source": [ "

3. Afficher l'instruction qui donne le nombre de communes en vendée

" ] }, { "cell_type": "code", "execution_count": null, "id": "84963afd", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "cd5ba582", "metadata": {}, "source": [ "

4. Afficher le nom des villes et leur population qui ont moins de 500 habitants

" ] }, { "cell_type": "code", "execution_count": null, "id": "282286a0", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "d64bbe00", "metadata": {}, "source": [ "

5. Calculer le nombre d'habitants en Vendée en 2010

" ] }, { "cell_type": "code", "execution_count": null, "id": "9a9d04d3", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "cdc9e344", "metadata": {}, "source": [ "

6. Trier les communes de Vendée par ordre alphabétique

" ] }, { "cell_type": "code", "execution_count": null, "id": "e6af43d2", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "290e4fcb", "metadata": {}, "source": [ "

7. Trier les communes par densité décroissante, puis faire afficher le nom et la densité des 10 premières de cette liste

" ] }, { "cell_type": "code", "execution_count": null, "id": "b52facba", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "cef0096b", "metadata": {}, "source": [ "

8. Importer les données du fichier Communes_Vendée_géo.csv en une table appelée Geo

" ] }, { "cell_type": "code", "execution_count": null, "id": "495ac232", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "4d836c2a", "metadata": {}, "source": [ "

9. Afficher la ville la plus haute de Vendée

" ] }, { "cell_type": "code", "execution_count": null, "id": "6745b88d", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "6cca3601", "metadata": {}, "source": [ "

10 a). Créer une nouvelle table Communes en faisant une jointure des 2 tables Villes et Geo

" ] }, { "cell_type": "code", "execution_count": null, "id": "6dbddc6b", "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "id": "aa3d0785", "metadata": {}, "source": [ "

b) Créer un fichier csv de cette table Communes. Ouvrir le bloc notes pour vérifier son existence et son contenu

" ] }, { "cell_type": "code", "execution_count": null, "id": "8aa97447", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }