diff --git a/pivot_bdc_status.py b/pivot_bdc_status.py
new file mode 100644
index 0000000..850d5c0
--- /dev/null
+++ b/pivot_bdc_status.py
@@ -0,0 +1,78 @@
+import pandas as pd
+import numpy as np
+from pycen import con_gn
+
+
+NAME_OUT = '/home/colas/Documents/tmp/v_bdc_status2.xlsx'
+FileIn = '/media/colas/SRV/FICHIERS/TRANSFERTS-EQUIPE/CG/BDC_STATUTS_15.xls'
+db = False
+
+if db :
+    sql = "SELECT * FROM taxonomie.v_bdc_status"
+    df = pd.read_sql_query(sql,con_gn)
+if FileIn is not None :
+    df = pd.read_excel(FileIn)
+    df.columns = df.columns.str.lower()
+    geo = ['Isère','Rhône-Alpes','France','France métropolitaine',np.nan]
+    df = df[df.lb_adm_tr.isin(geo)]
+
+
+
+df.drop(columns=['full_citation'],inplace=True)
+df.replace({
+   r'[’]':"'",
+   r'[àáâãäå]':'a',
+   r'[èéêë]':'e',
+   r'[ìíîï]':'i',
+   r'[òóôõö]':'o',
+   r'[ùúûü]':'u',
+   r'[–]':"-"
+},regex=True,inplace=True)
+
+DF = df.copy()
+
+# ['cd_nom', 'cd_ref', 'rq_statut', 'code_statut', 'label_statut',
+# 'cd_type_statut', 'thematique', 'lb_type_statut', 'regroupement_type',
+# 'cd_st_text', 'cd_sig', 'cd_doc', 'niveau_admin', 'cd_iso3166_1',
+# 'cd_iso3166_2', 'doc_url', 'type_value']
+pivot = pd.pivot_table(
+    DF,
+    values='code_statut',
+    index=['cd_nom', 'cd_ref'#,'niveau_admin','lb_adm_tr'
+    ],
+    columns=['cd_type_statut'],
+    aggfunc=list,fill_value=None)
+for c in pivot.columns:
+    pivot[c] = [x[0] if x is not np.NaN and len(x)==1 else x for x in pivot[c]]
+pivot['DH'] = [','.join(x) if (x is not np.NaN) and (len(x)==2) else x for x in pivot['DH']]
+pivot.DH.replace({'CDH':''},regex=True,inplace=True)
+
+pivlib = pd.pivot_table(
+    DF,
+    values='label_statut',
+    index=['cd_nom', 'cd_ref'#,'niveau_admin','lb_adm_tr'
+    ],
+    columns=['cd_type_statut'],
+    aggfunc=list,fill_value=None)
+for c in pivlib.columns:
+    pivlib[c] = [x[0] if x is not np.NaN and len(x)==1 else x for x in pivlib[c]]
+pivlib['DH'] = [','.join(x) if (x is not np.NaN) and (len(x)==2) else x for x in pivlib['DH']]
+pivlib.DH.replace({'CDH':''},regex=True,inplace=True)
+
+print('INIT writer')
+with pd.ExcelWriter(NAME_OUT) as writer:
+    DF.to_excel(
+        writer,sheet_name='v_bdc_status'
+        )
+    # writer.save()
+    print('v_bdc_status OK !')
+    pivot.to_excel(
+        writer,sheet_name='pivot_table'
+        )
+    # writer.save()
+    print('pivot_table OK !')
+    pivlib.to_excel(
+        writer,sheet_name='pivot_libel'
+        )
+    writer.save()
+    print('pivot_libel OK !')