aa4488147ec1db9fa33fff89fd412fa4f6f962f5,QUANTAXIS/QAData/data_fq.py,,QA_data_make_hfq,#Any#Any#,75

Before Change

    data = data.fillna(0)
    data["preclose"] = (data["close"].shift(1) * 10 - data["fenhong"] + data["peigu"]
                        * data["peigujia"]) / (10 + data["peigu"] + data["songzhuangu"])
    data["adj"] = (data["preclose"].shift(-1) /
                   data["close"]).fillna(1).cumprod()
    data["open"] = data["open"] / data["adj"]
    data["high"] = data["high"] / data["adj"]
    data["low"] = data["low"] / data["adj"]
    data["close"] = data["close"] / data["adj"]
    data["preclose"] = data["preclose"] / data["adj"]
    return data.query("if_trade==1").drop(["fenhong", "peigu", "peigujia", "songzhuangu"], axis=1).query("open != 0")


def QA_data_stock_to_fq(__data, type_="01"):

After Change

    data = data.fillna(0)
    data["preclose"] = (data["close"].shift(1) * 10 - data["fenhong"] + data["peigu"]
                        * data["peigujia"]) / (10 + data["peigu"] + data["songzhuangu"])
    data["adj"]=  (data["close"]/data["preclose"].shift(-1)).cumprod().shift(1).fillna(1)
    data["open"] = data["open"] * data["adj"]
    data["high"] = data["high"] * data["adj"]
    data["low"] = data["low"] * data["adj"]
    data["close"] = data["close"] * data["adj"]
    data["preclose"] = data["preclose"] * data["adj"]
    return data.query("if_trade==1").drop(["fenhong", "peigu", "peigujia", "songzhuangu"], axis=1).query("open != 0")


def QA_data_stock_to_fq(__data, type_="01"):

Instances