From 050fce87012887783c1984c9fb1e78bdb498b1aa Mon Sep 17 00:00:00 2001 From: m_galanth Date: Tue, 1 Nov 2022 17:04:05 +0100 Subject: [PATCH] enjeu_rapport_v1.py --- enjeu_rapport_v1.py | 50 +++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 enjeu_rapport_v1.py diff --git a/enjeu_rapport_v1.py b/enjeu_rapport_v1.py new file mode 100644 index 0000000..1d9e4b4 --- /dev/null +++ b/enjeu_rapport_v1.py @@ -0,0 +1,50 @@ +#!/usr/bin/env python +# coding: utf-8 + +# In[0]: + + +#Importer les librairies +import pandas as pd + + +# In[1]: + + +#Ouvrir un fichier CSV +# sep = ';' permet de separer les colonnes +df = pd.read_csv (r'/Users/marinegalanth/Desktop/inondation_bdd/bd_inondation/n_enjeu_rapport.csv', sep = ';') +print(df) + + +# In[2]: + + +#Conserver uniquement les colonnes utiles +df = df[["scenario","typ_inond", "id","id_tri"]] + + +# In[3]: + + +#Créer un dataframe +df = pd.DataFrame(df) + + +# In[4]: + + +#Modifier l'échelle du risque d'inondation de 1-4 +df['scenario'] = df['scenario'].str.replace('01For','01Fai') +df['scenario'] = df['scenario'].str.replace('02Moy','02Mcc') +df['scenario'] = df['scenario'].str.replace('03Mcc','03Moy') +df['scenario'] = df['scenario'].str.replace('04Fai','04For') + + +# In[5]: + + +#Afficher le dataframe +df + +