使用附加标题对Python Panda表进行分组

使用附加标题对Python Panda表进行分组,python,pandas,tabular,heading,Python,Pandas,Tabular,Heading,我有下表: NSRCODE CM CM % of LSA LBH LBH % of LSA Total Area Total Area % of LSA PBL_AWI BFNN 0.000000 0.000000 28.9207 0.338512 28.920700 0.323014 BONS 4.470549 1.090581 914.0085 10.698

我有下表:

NSRCODE CM        CM % of LSA   LBH    LBH % of LSA     Total Area  Total Area % of LSA
PBL_AWI                     
BFNN    0.000000    0.000000    28.9207     0.338512    28.920700   0.323014
BONS    4.470549    1.090581    914.0085    10.698329   918.479049  10.258446
BTNI    0.000000    0.000000    3.3713      0.039461    3.371300    0.037654
BTNN    25.385459   6.192732    1974.8005   23.114736   2000.185959 22.339976
FONG    4.162559    1.015448    168.7122    1.974750    172.874759  1.930829
FONS    1.681416    0.410178    516.9960    6.051359    518.677416  5.793082
FTNI    0.000000    0.000000    31.7252     0.371339    31.725200   0.354337
FTNN    0.000000    0.000000    653.6473    7.650841    653.647300  7.300554
SONS    58.395844   14.245548   437.9098    5.125667    496.305644  5.543213
STNN    4.560384    1.112496    0.0000      0.000000    4.560384    0.050935
我正在寻找一种方法来分组桌子,使它看起来像这样。其中,每两列都分组在一个标题下,但NSRCODE仍按原样显示

             Central M                Lower BH                 Summary
NSRCODE CM        CM % of LSA   LBH    LBH % of LSA     Total Area  Total Area % of LSA
PBL_AWI                     
BFNN    0.000000    0.000000    28.9207     0.338512    28.920700   0.323014
BONS    4.470549    1.090581    914.0085    10.698329   918.479049  10.258446
BTNI    0.000000    0.000000    3.3713      0.039461    3.371300    0.037654
BTNN    25.385459   6.192732    1974.8005   23.114736   2000.185959 22.339976
FONG    4.162559    1.015448    168.7122    1.974750    172.874759  1.930829
FONS    1.681416    0.410178    516.9960    6.051359    518.677416  5.793082
FTNI    0.000000    0.000000    31.7252     0.371339    31.725200   0.354337
FTNN    0.000000    0.000000    653.6473    7.650841    653.647300  7.300554
SONS    58.395844   14.245548   437.9098    5.125667    496.305644  5.543213
STNN    4.560384    1.112496    0.0000      0.000000    4.560384    0.050935
[编辑]根据@Chrisb

完成映射后,我得到以下结果:

Total Area   Total Area % of LSA    LBH % of LSA    LBH       CM          CM % of LSA
Summary            Summary          Lower BH        Lower BH  Central M   Central M
我正在尝试获取当前位于第一行第二行的标签,以便它们在每组中只显示一次

例如:

        Summary
Total Area   Total Area % of LSA

其中Summary包含它下面的两个值。

首先,定义映射:

col_mapping = {'Central M': ['CM', 'CM % of LSA'], 
               'Lower BH': ['LBH % of LSA', 'LBH'], 
                'Summary': ['Total Area', 'Total Area % of LSA']}
将其解压缩到元组列表中:

cols = [(k,v) for k,sublist in col_mapping.items() 
              for v in sublist]
指定为多索引

df.columns = pd.MultiIndex.from_tuples(cols)

感谢您的快速响应,这几乎奏效了。总面积总面积占LSA总面积的百分比LBH占LSA总面积的百分比LBH占CM占LSA总面积的百分比汇总下伯克希尔哈撒韦州下伯克希尔哈撒韦州中部M中部M@user765015-参见编辑,在构建元组时,我已切换了
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