python - The exhaustive parameter search in dataframe -


there dataframe in line of credit history. history of repeated , differ source of information. need leave 1 string each application selecting reliable source.the metric of reliability is.but method used busting long. please tell me method how faster of these 2 records should one.the 1 less value of field percent

idunique = df_train.id.unique() columns = list(df_train.columns) df_res = pd.dataframe() r in range(len(idunique)):   x_train = df_train[df_train['id']==idunique[r]]   dtimes = x_train['dtime_credit'].unique()   ix in range(len(dtimes)):     x_train2 = x_train[x_train['dtime_credit']==dtimes[ix]]     if x_train2.shape[0]>1:         in range(len(columns)):             x_train2[columns[i]].replace(np.nan,x_train2[columns[i]].mean(),regex=true,inplace=true)              toappend = x_train2[x_train2['percent']==x_train2['percent'].min()]             if toappend.shape[0]>1:                 toappend = toappend.iloc[0:1]     else:         toappend = x_train2     df_res =df_res.append(toappend)


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