init depot renew

2026-09-22 11:58:57 +02:00
commit e9fa6a7309
205 changed files with 39721 additions and 0 deletions
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+from pycen import ps,con_bdcen
+import geopandas as gpd
+
+# Liste des habitats souhaités
+list_habs = ['35.21','35.23','34.12','64.11','64.12']
+habs = '|'.join(list_habs)
+
+# v_pelouseseches
+dfps = ps.v_pelouseseches()
+cb_col = dfps.columns[dfps.columns.str.startswith('cb_hab')]
+cdate = dfps.columns[dfps.columns.str.contains('date')]
+for c in cdate:
+    dfps[c] = gpd.pd.to_datetime(dfps[c])
+dfps['date'] = dfps[cdate].max(axis=1)
+
+dfps['auteur'] = None
+for c in cdate:
+    typ = c.removeprefix('date')
+    dfps.loc[dfps[c].eq(dfps.date),'auteur'] = dfps[dfps[c].eq(dfps.date)]['auteur'+typ]
+
+dfps.drop(
+    columns=[*cdate,*'auteur' + cdate.str.removeprefix('date')],
+    inplace=True
+)
+
+
+df = gpd.GeoDataFrame()
+for c in cb_col:
+    res = dfps[dfps[c].str.contains(habs,na=False)].copy()
+    df = gpd.pd.concat([df,res])
+df.drop_duplicates(inplace=True)
+print('Extract %s unités parcellaires ...'%df.shape[0])
+
+# PB_codehab_nonPresent_dans_corineBiotope
+sql = 'SELECT * FROM pelouse_seche."PB_codehab_nonPresent_dans_corineBiotope"'
+dfpb = gpd.read_postgis(sql,con_bdcen)
+dfps['date'] = gpd.pd.to_datetime(dfps['date'])
+dfpb.rename(columns={
+    'id_site' : 'site_code',
+    'pratiques':'pratique',
+    'niv_embrous':'embrouss',
+    'recouvmnt':'recouvrement',
+    'remarques':'rmq_site',
+    'code_hab1':'cb_hab1',
+    'code_hab2':'cb_hab2',
+    'code_hab3':'cb_hab3',
+    'code_hab4':'cb_hab4',
+    'code_hab5':'cb_hab5',
+}, inplace=True)
+samecol = dfpb.columns[dfpb.columns.isin(dfps.columns)]
+diffcol = dfpb.columns[~dfpb.columns.isin(dfps.columns)]
+dfpb = dfpb[samecol]
+cb_colpb = dfpb.columns[dfpb.columns.str.startswith('cb_hab')]
+
+
+list_habspb = ['PS sur sable','Friche sableuse'] 
+habspb = '|'.join(list_habspb)
+for c in cb_colpb:
+    res = dfpb[dfpb[c].str.contains(habspb,na=False)].copy()
+    df = gpd.pd.concat([df,res])
+df.drop_duplicates(inplace=True)
+df['date'] = gpd.pd.to_datetime(df['date']).astype(str)
+# df['date'] = gpd.pd.to_datetime(df['date'], unit='D')
+print('Extract %s unités parcellaires ...'%df.shape[0])
+
+df.to_file('/home/colas/Documents/9_PROJETS/2_PS/EXPORT/PNA_pelouse_sableuse.gpkg',driver='GPKG')
+