Question

以下代码可以正常工作。它从两个变量的列表中创建一个数据框，并进行一些计算。

d = {'VGK':[1], 'VPL':[1]}
parser = lambda timestamp: pd.datetime.strptime(timestamp, '%Y-%m-%d')
etf_tickers = pd.DataFrame(data=d)
etfs = pd.DataFrame([])

for count,ticker in enumerate(etf_tickers):
    x = pd.read_csv('{}.csv'.format(ticker), parse_dates=[0], index_col='timestamp',date_parser=parser)
    x['{}_logdiff'.format(ticker)] = log(x[ticker]) - log(x[ticker].shift(1))  
    if etfs.empty:
        etfs = x
    else:
        etfs= etfs.join(x, how='outer')

但是，当我如下移动函数时，它不起作用。我没有收到错误，只是没有生成数据框。

d = {'VGK':[1], 'VPL':[1]}
parser = lambda timestamp: pd.datetime.strptime(timestamp, '%Y-%m-%d')

def create_frame_logdiffs(inlist,outframe):
    outtickers = pd.DataFrame(data=inlist)
    outframe = pd.DataFrame([])
    for count,ticker in enumerate(outtickers):
        x = pd.read_csv('{}.csv'.format(ticker), parse_dates=[0], index_col='timestamp',date_parser=parser)
        x['{}_logdiff'.format(ticker)] = log(x[ticker]) - log(x[ticker].shift(1)) #we use the natural log diff to compute retuns defined as the percentage change in price
        if outframe.empty:
            outframe = x
        else:
            outframe= outframe.join(x, how='outer')

create_frame_logdiffs(d,etfs)

Answer 1

DataFrame的范围在生成它的函数中是局部的。除非将DataFrame从函数返回到进行调用的位置，否则您将看不到任何东西。您需要放置return语句，并在调用函数后将输出保存到某个变量中。

def create_frame_logdiffs(inlist,outframe):
    outtickers = pd.DataFrame(data=inlist)
    outframe = pd.DataFrame([])
    for count,ticker in enumerate(outtickers):
        x = pd.read_csv('{}.csv'.format(ticker), parse_dates=[0], index_col='timestamp',date_parser=parser)
        x['{}_logdiff'.format(ticker)] = log(x[ticker]) - log(x[ticker].shift(1)) #we use the natural log diff to compute retuns defined as the percentage change in price
        if outframe.empty:
            outframe = x
        else:
            outframe= outframe.join(x, how='outer')
    return outframe

outframe = create_frame_logdiffs(d,etfs)
# Do something with the outframe

python代码在函数外部起作用，但在函数内部不起作用

1 个答案: