使用附加标题对Python Panda表进行分组
我有下表: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
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
k
和v
。