以 http://pandas.pydata.org/pandas-docs/stable/advanced.html 为例
In [10]: arrays = [np.array(['bar', 'bar', 'baz', 'baz', 'foo', 'foo', 'qux', 'qux']),
....: np.array(['one', 'two', 'one', 'two', 'one', 'two', 'one', 'two'])]
....:
In [11]: s = pd.Series(np.random.randn(8), index=arrays)
In [13]: df = pd.DataFrame(np.random.randn(8, 4), index=arrays)
In [14]: df
Out[14]:
0 1 2 3
bar one -0.424972 0.567020 0.276232 -1.087401
two -0.673690 0.113648 -1.478427 0.524988
baz one 0.404705 0.577046 -1.715002 -1.039268
two -0.370647 -1.157892 -1.344312 0.844885
foo one 1.075770 -0.109050 1.643563 -1.469388
two 0.357021 -0.674600 -1.776904 -0.968914
qux one -1.294524 0.413738 0.276662 -0.472035
two -0.013960 -0.362543 -0.006154 -0.923061
如何将第二个索引打印显示移到最后一列之后？ 像这样:
0 1 2 3
bar -0.424972 0.567020 0.276232 -1.087401 one
-0.673690 0.113648 -1.478427 0.524988 two
baz 0.404705 0.577046 -1.715002 -1.039268 one
-0.370647 -1.157892 -1.344312 0.844885 two
foo 1.075770 -0.109050 1.643563 -1.469388 one
0.357021 -0.674600 -1.776904 -0.968914 two
qux -1.294524 0.413738 0.276662 -0.472035 one
-0.013960 -0.362543 -0.006154 -0.923061 two
最佳答案
不完全相同，但您可以调用 reset_index 传递第二级，然后使用 ix 使用奇特索引对列重新排序，并传递所需列顺序的列表:
In [100]:
df.reset_index(level=1).ix[:,list(df) + ['level_1']]
Out[100]:
0 1 2 3 level_1
bar -0.171917 -0.084470 0.568098 0.749653 one
bar 0.114017 0.474004 -0.032003 0.197596 two
baz -0.310686 -0.236696 0.471586 -0.286288 one
baz 2.014078 0.957119 -0.399487 1.109984 two
foo -0.309654 0.916766 1.207385 -0.673540 one
foo 0.442063 -0.819095 0.314201 -1.125304 two
qux 1.817970 -0.316869 1.773183 -0.097240 one
qux 0.025067 0.135640 1.054219 -0.230144 two
关于python - 多索引在表格右侧打印二级索引标签，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/38187658/