In [21]: df = DataFrame({'A' : np.random.randn(5),
'B' : np.random.randn(5),'C' : np.random.randn(5),
'D':['a','b','c','d','e'] })
In [22]: df
Out[22]:
A B C D
0 -0.941264 0.272726 -0.547948 a
1 0.069432 1.398414 0.039093 b
2 -0.073638 -1.264676 -1.339994 c
3 1.520017 -0.562979 -0.739326 d
4 -0.395157 0.542807 0.766582 e
[5 rows x 4 columns]
In [23]: df.take([2,0,1,2,3], axis=1).drop('C',axis=1)
Out[23]:
A B D
0 -0.941264 0.272726 a
1 0.069432 1.398414 b
2 -0.073638 -1.264676 c
3 1.520017 -0.562979 d
4 -0.395157 0.542807 e
[5 rows x 3 columns]
In [24]: df.take([2,0,1,2,1], axis=1).drop('C',axis=1)
IndexError: index 3 is out of bounds for axis 0 with size 3
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