from pycen import con_gn import numpy as np import pandas as pd # Liste des CD_NOM en entrée taxlist = pd.read_excel('/media/colas/SRV/FICHIERS/TRANSFERTS-EQUIPE/CG/BOCA_CD_nom.xlsx') sql = """ SELECT t.cd_nom, t.cd_ref, t.regne, t.phylum, t.classe, t.ordre, t.famille, t.group1_inpn, t.group2_inpn, t.nom_vern, t.nom_complet, t.nom_valide, t.lb_nom, --s.* s.code_statut, s.cd_type_statut, s.label_statut FROM taxonomie.v_taxref_all_listes t JOIN taxonomie.v_bdc_status s USING (cd_nom) WHERE t.cd_nom IN {cd_nom} ;""".format(cd_nom = tuple(taxlist.CD_NOM.astype(str)) ) df = pd.read_sql_query(sql,con_gn) df.to_csv('/media/colas/SRV/FICHIERS/TRANSFERTS-EQUIPE/LC/BOCA_CD_NOM_STATUS.csv') pivot = pd.pivot_table( df, values='code_statut', index=['cd_nom', 'cd_ref','lb_nom'#,'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','lb_nom'#,'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') NAME_OUT = '/media/colas/SRV/FICHIERS/TRANSFERTS-EQUIPE/LC/BOCA_CD_NOM_STATUS.xlsx' 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 !')