Pandas MultiIndex 级别的自定义分组

Question

最小可重现示例：

import pandas as pd
data = {('Percent', 'Female'): {'Parents': 26.489226869455006, 'Spouse': 31.875792141951838}, ('Percent', 'Male'): {'Parents': 34.49901768172888, 'Spouse': 20.903732809430256}, ('N', 'Female'): {'Parents': 1578.0, 'Spouse': 1578.0}, ('N', 'Male'): {'Parents': 2545.0, 'Spouse': 2545.0}, ('Count', 'Female'): {'Parents': 418.0, 'Spouse': 503.0}, ('Count', 'Male'): {'Parents': 878.0, 'Spouse': 532.0}}
df = pd.DataFrame.from_dict(data)
df

df：

                    Percent                N                Count
        Female      Male        Female  Male      Female    Male
Parents 26.489227   34.499018   1578.0  2545.0    418.0     878.0
Spouse  31.875792   20.903733   1578.0  2545.0    503.0     532.0

我想按性别而不是统计数据对我的列进行分组，就像这个所需的输出一样：

                                   Female                             Male  
                 N     Count      Percent           N     Count    Percent
 Parents    1578.0     418.0      26.48..      2545.0     878.0     34.49..     
 Spouse     1578.0     503.0      31.87..      2545.0     532.0     20.90..

我知道如何使用 更改级别顺序reorder_levels()。也就是说，我不仅想更改它们的顺序，而且还想以不同的方式对它们进行分组，如上面所需的输出所示。

我该怎么做呢？

Answer 1

交换列级别然后排序

df.swaplevel(axis=1).sort_index(axis=1)

reindex用于定制订购level=0

order = ['Male', 'Female']
df.swaplevel(axis=1).reindex(order, axis=1, level=0)

        Female                      Male                   
         Count       N    Percent  Count       N    Percent
Parents  418.0  1578.0  26.489227  878.0  2545.0  34.499018
Spouse   503.0  1578.0  31.875792  532.0  2545.0  20.903733