code='000311.OF'
s_date= '2017-01-01'
e_date='2021-02-26'
def get_return_aip_luyang(code, s_date, e_date):
    #改写成每日定投
    info = 'unit_net_value' # unit_net_value: 基金单位净值
    df = get_extras(info, code, start_date=s_date, end_date=e_date) # 获取传入基金指定时间段内 单位净值列表

    info =  'adj_net_value'  # 场外基金的复权净值
    df['adj'] = get_extras(info, code, start_date=s_date, end_date=e_date)


    # 记录e_date的价格
    e_date_price = df['adj'][-1]

    list_dates = df.index.tolist()
    df['wkday'] = [list_dates[x].isoweekday() for x in range(len(list_dates))]    
    df = df[df['wkday'] .isin([1,2,3,4,5])]

    capital = 200  # 单次定投金额
    open_commission=0.0015 # 手续费，取蚂蚁金服手续费率
    df['capital'] = capital

    df['quant_adj'] = round(df['capital']/(1+open_commission)/df['adj'], 3) # 按“复权净值”计算的份额
    df['total_qnt_adj'] = df.quant_adj.cumsum()  # 按“复权净值”计算的份额


    #坏在这里了
    #df['sum_qnt_3weeks'] = df['quant_adj'].rolling(10).sum() # 计算10天定投累加份额

    df['期数']=list(range(1,len(df)+1))

    #现值收益
    df['当期总值'] =df['total_qnt_adj']*df['adj']
    df['当期盈利']=df['当期总值']-200*df['期数']
    df['累计收益率']=round(df['当期盈利']/(200*df['期数']),4)*100

    #df['mean_price_3weeks'] = round(capital*10/df['sum_qnt_3weeks'], 3) # 计算10天定投的平均成本

    pd.set_option('display.max_columns', None)
    from IPython.display import display
    display(df)
    df.to_csv('auto_inv_plan_new.csv', mode='w', encoding='utf_8_sig')
    

get_return_aip_luyang('000311.OF', '2015-05-01', '2021-02-26')