I need to translate this SQL query to Pandas: SELECT * FROM df_dicodes AS di LEFT OUTER JOIN df_2 AS h2 ON di.Dicode = h2.NM_code AND (datetime(julianday(datetime(di.LastResolDate))) - datetime(julianday(datetime(h2.FechaLectura))) < 180) AND ((di.Oficina=h2.Centro AND di.Incidencia=h2.`Num Ticket`) OR (di.Incidencia=h2.`Num Ticket` AND (di.Oficina=h2.Centro OR h2.Centro BETWEEN '22015' AND '22025') OR (di.Incidencia=h2.`Num Ticket` AND (di.Oficina <> h2.Centro OR h2.Centro BETWEEN '22015' AND '22025'))) OR (di.Oficina=h2.Centro)) ORDER BY di.Oficina;
df_result = pd.merge(df_dicodes, df_2, how='left', left_on=['Dicode'], right_on=['NM_Code']) How could I continue this merge? Thanks! -- https://mail.python.org/mailman/listinfo/python-list