314ff353d7fe3ea0cdb3aea466a4bf8e7b2dadb4,QUANTAXIS/QAFetch/QATdx.py,,QA_fetch_get_stock_xdxr,#Any#Any#Any#,302

Before Change

        data = data.drop(["year", "month", "day"], axis=1)
        data["category_meaning"] = data["category"].apply(
            lambda x: category[str(x)])
        data["code"] = code
        data = data.rename(index=str, columns={"panhouliutong": "liquidity_after",
                                               "panqianliutong": "liquidity_before", "houzongguben": "shares_after",
                                               "qianzongguben": "shares_before"})
        data.set_index("date", drop=False, inplace=True)
        data["date"] = data["date"].apply(lambda x: str(x))
        return data


if __name__ == "__main__":

After Change

            "6": "增发新股", "7": "股份回购", "8": "增发新股上市", "9": "转配股上市", "10": "可转债上市",
            "11": "扩缩股", "12": "非流通股缩股", "13":  "送认购权证", "14": "送认沽权证"}
        data = api.to_df(api.get_xdxr_info(market_code, code))
        return data\
            .assign(date=pd.to_datetime(data[["year", "month", "day"]]))\
            .drop(["year", "month", "day"], axis=1)\
            .assign(category_meaning=data["category"].apply(lambda x: category[str(x)]))\
            .assign(code=str(code))\
            .rename(index=str, columns={"panhouliutong": "liquidity_after",
                                        "panqianliutong": "liquidity_before", "houzongguben": "shares_after",
                                        "qianzongguben": "shares_before"})\
            .set_index("date", drop=False, inplace=False)


if __name__ == "__main__":
    // print(QA_fetch_get_stock_day("000001","2017-07-03","2017-07-10"))

Instances