From 9740708b31181cb9f54322aa3f963950fe90f5a4 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ma=C3=ABl=20DAIM?= Date: Thu, 4 May 2023 11:31:33 +0200 Subject: [PATCH] oui --- stat.ipynb | 113 +++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 113 insertions(+) create mode 100644 stat.ipynb diff --git a/stat.ipynb b/stat.ipynb new file mode 100644 index 0000000..b688f36 --- /dev/null +++ b/stat.ipynb @@ -0,0 +1,113 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "03338ae6", + "metadata": {}, + "source": [ + "# Statistiques\n", + "\n", + "### Préparation des données et insertion dans les dataframe.\n", + "Ainsi aue le nettoyage des données (suppression des données redondantes et les données non renseignées) " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ad4af851", + "metadata": {}, + "outputs": [ + { + "ename": "ModuleNotFoundError", + "evalue": "No module named 'plotly'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [2]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpatches\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mmpatches\u001b[39;00m\n\u001b[1;32m 8\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mre\u001b[39;00m\n\u001b[0;32m----> 9\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mplotly\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mexpress\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mpx\u001b[39;00m\n\u001b[1;32m 11\u001b[0m data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124mr\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124m./csv/Report_2022.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 12\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mDataFrame(data)\n", + "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'plotly'" + ] + } + ], + "source": [ + "import pandas as pd \n", + "import psycopg2 as psy \n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "import subprocess as sp\n", + "import seaborn as sns\n", + "import matplotlib.patches as mpatches\n", + "import re\n", + "import plotly.express as px\n", + "\n", + "data = pd.read_csv(r'./csv/Report_2022.csv')\n", + "df_2022 = pd.DataFrame(data)\n", + "df_2022 = df.drop_duplicates()\n", + "df_2022 = df.dropna()" + ] + }, + { + "cell_type": "markdown", + "id": "7dbda889", + "metadata": {}, + "source": [ + "Map des globales score sur" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "f66aef89", + "metadata": {}, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'px' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Input \u001b[0;32mIn [3]\u001b[0m, in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m sns\u001b[38;5;241m.\u001b[39mset(rc\u001b[38;5;241m=\u001b[39m{\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124maxes.facecolor\u001b[39m\u001b[38;5;124m\"\u001b[39m:\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m#d1f0ec\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mgrid.color\u001b[39m\u001b[38;5;124m\"\u001b[39m:\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m#b7c7c9\u001b[39m\u001b[38;5;124m\"\u001b[39m})\n\u001b[0;32m----> 3\u001b[0m fig \u001b[38;5;241m=\u001b[39m \u001b[43mpx\u001b[49m\u001b[38;5;241m.\u001b[39mchoropleth(df_2022, locations\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mISO Code\u001b[39m\u001b[38;5;124m'\u001b[39m, color\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGlobal Score\u001b[39m\u001b[38;5;124m'\u001b[39m, hover_name \u001b[38;5;241m=\u001b[39m df_2022\u001b[38;5;241m.\u001b[39mindex, hover_data\u001b[38;5;241m=\u001b[39m[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPosition 2022\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mRegion\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mContinent\u001b[39m\u001b[38;5;124m\"\u001b[39m], title\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mGlobal Score Map\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m 4\u001b[0m fig\u001b[38;5;241m.\u001b[39mshow()\n", + "\u001b[0;31mNameError\u001b[0m: name 'px' is not defined" + ] + } + ], + "source": [ + "sns.set(rc={\"axes.facecolor\":\"#d1f0ec\", \"grid.color\":\"#b7c7c9\"})\n", + "\n", + "fig = px.choropleth(df_2022, locations='ISO Code', color='Global Score', hover_name = df_2022.index, hover_data=[\"Position 2022\", \"Region\", \"Continent\"], title='Global Score Map')\n", + "fig.show()\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "0f0c4172", + "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": "3.9.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}