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
不完全相同,但您可以调用
reset_index
传递第二级,然后使用ix
并传递所需列顺序的列表,使用花哨的索引对列进行重新排序:相关问题 更多 >
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