d39a96438f653fca7882ae558bf84f103b835f0b,QUANTAXIS/QAFactor/data.py,DataApi,get_groupby,#DataApi#Any#Any#Any#Any#Any#Any#,221

Before Change

        stock_list = utils.QA_fmt_code_list(code_list, style="jq")
        df_local = pd.DataFrame()
        industries = map(
            partial(jqdatasdk.get_industry,
                    stock_list),
            date_range
        )
        industries = {
            d: {
                s: ind.get(s).get(industry_cls,
                                  dict()).get("industry_name",
                                              "NA")
                for s in stock_list
            }
            for d,
            ind in zip(date_range,
                       industries)
        }
        df_local = pd.DataFrame(industries).T.sort_index()
        df_local.columns = df_local.columns.map(lambda x: x[0:6])
        df_local = df_local.stack(level=-1)
        df_local.index.names = ["date", "code"]

After Change

        stock_list = utils.QA_fmt_code_list(code_list)
        df_local = pd.DataFrame()
        for cursor_date in date_range:
            df_tmp = QA_fetch_industry_adv(code=code_list, cursor_date = cursor_date)[["code", "industry_name"]]
            df_tmp["date"] = cursor_date
            df_local = df_local.append(df_tmp)
        // industries = map(
        //     partial(jqdatasdk.get_industry,
        //             stock_list),
        //     date_range

Instances