我編寫了一個遞歸函數(shù)來增強 pandas.DataFrame.describe。它將峰度和偏斜添加為行。它還創(chuàng)建了第二個描述表來轉(zhuǎn)置第一個描述表，以便您獲得匯總統(tǒng)計數(shù)據(jù)的摘要。它工作得很好，只是我不喜歡編寫具有多個出口的函數(shù)。我嘗試用一個 return 語句編寫它（請參閱注釋掉的部分），但它會在一個表中創(chuàng)建兩個轉(zhuǎn)置表。正確，但太多了。def get_better_desc(df, recursions: int = 1):    '''Adds kurtosis and skew to pandas.DataFrame.describe output. And, creates    second transposed version of this table called on itself for summary stats    of summary stats.    Parameters:        df: pandas.DataFrame, or Series but its super_desc isn't so meaningful.        recursions: integer number of times to apply recursively to create            super_desc. Default value of 1 is all that is necessary.    Returns:        better_desc: pandas.Dataframe (or Series) with kurtosis and skew added.        super_desc: pandas.DataFrame (or Series) of better_desc transposed and            made into a better_desc itself.'''        kurt = df.kurtosis()    kurt.name = 'kurt'    skew = df.skew()    skew.name = 'skew'    better_desc = df.describe().append([kurt, skew])        if recursions > 0:        super_desc = get_better_desc(better_desc.transpose(),                                     recursions=(recursions - 1))        return better_desc, super_desc    else:        return better_desc#     if recursions > 0:#         super_desc = get_better_desc(better_desc.transpose(),#                                      recursions=(recursions - 1))#     else:#         super_desc = better_desc    #     return better_desc, super_desc