init depot renew

2026-09-22 11:58:57 +02:00
commit e9fa6a7309
205 changed files with 39721 additions and 0 deletions
@@ -0,0 +1,65 @@
+#!/usr/bin/env python3
+# -*- coding: UTF-8 -*-
+
+
+import pandas as pd
+import geopandas as gpd
+import pycen
+
+
+
+path0 = '/home/colas/Documents/9_PROJETS/2_PS/TO IMPORT/'
+path  = 'cartohabitatsplatiere/'
+file  = 'Habitats I33 2008.gpkg'
+df = gpd.read_file(path0+path+file)
+df.rename_geometry('geom', inplace=True)
+
+if file == 'Habitats I33 2008.gpkg' : 
+    df.columns = df.columns.str.lower()
+    df.rename(columns={'date_maj':'date'}, inplace=True)
+    df['remarques'] = \
+        'détails : ' + df['type_détaillé'] + ';' +\
+        ' regroupement : ' + df['type_regroupé'] + ';'\
+        ' code_n2000 : ' + df['code_n2000'] + ';'\
+        ' age : ' + df['age'] + ';'
+    del df['id']
+    del df['code_enjeu']
+    del df['enjeu_numérique']
+    del df['complexe_hab']
+    del df['echelle']
+    del df['entretien']
+    del df['type_détaillé']
+    del df['type_regroupé']
+    del df['surface']
+    del df['num_site']
+    del df['code_n2000']
+    del df['age']
+    # df.set_index('num_site',inplace=True)
+    df['auteur'] = 'PONT Bernard'
+    df['structure'] = "AAIP"
+
+    lst_hab = ['34.1','34.3','34.4','34.7','35.2','62.3','64.1']
+    df = df[df.code_cb.str.contains('|'.join(lst_hab))]
+
+    lst_hab2 = ['41','42','43','44','81','82','83']
+    df = df[~df.code_cb.str.contains('|'.join(lst_hab2))]
+
+    df.replace({'IC':'Communautaire'}, inplace=True)
+
+
+df.index.name = 'ident'
+df.reset_index(inplace=True, drop=False)
+df.rename(columns={'code_cb':'code_hab1'}, inplace=True)
+df['n_hab1'] = 100
+
+ps = pycen.ps.get_sitesGeom()
+# nv = gpd.read_file(path0+'PS_nature_vivante_2014.shp')
+
+
+# nv.geometry = nv.buffer(50)
+intersect = gpd.sjoin(df,ps,op='intersects')['ident'].tolist()
+drop_index = df[df['ident'].isin(intersect)].index
+df.drop(drop_index,inplace=True)
+df.reset_index(inplace=True, drop=True)
+# df.to_file(path0+path+'Habitats I33 2008 (manquants).gpkg', driver='GPKG')
+# df = gpd.read_file(path0+path+'Habitats I33 2008 (manquants).gpkg')