|
|
@ -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 |
|
|
|
|
|
|
|
|