格式化分组数据框

Question

我正在阅读以下关于分组依据的教程，https://chrisalbon.com/python/pandas_apply_operations_to_groups.html。

在下面概述的分组之后，我如何才能转换为仅包含 团、第 1、第 2 列的数据框？

Answer 1

我认为你试图从数据框中删除那家公司，所以使用

df.columns.name = ''

如果您想重置索引，请使用

df = df.reset_index()

输出：

ndf = df['preTestScore'].groupby([df['regiment'], df['company']]).mean().unstack()
ndf.columns.name = ''

            1st   2nd
regiment              
Dragoons     3.5  27.5
Nighthawks  14.0  16.5
Scouts       2.5   2.5

To have dataframe simply has regiment, 1st, 2nd as its columns

ndf = ndf.reset_index() 

     regiment   1st   2nd
0    Dragoons   3.5  27.5
1  Nighthawks  14.0  16.5
2      Scouts   2.5   2.5

Answer 2

通过使用rename_axis

df.rename_axis(None,1)