[Numpy-discussion] indexing question
Tom K.
tpk@kraussfamily....
Tue Mar 30 09:13:12 CDT 2010
This one bit me again, and I am trying to understand it better so I can
anticipate when it will happen.
What I want to do is get rid of singleton dimensions, and index into the
last dimension with an array.
In [1]: import numpy as np
In [2]: x=np.zeros((10,1,1,1,14,1024))
In [3]: x[:,0,0,0,:,[1,2,3]].shape
Out[3]: (3, 10, 14)
Whoa! Trimming my array to a desired number ends up moving the last
dimension to the first!
In [4]: np.__version__
Out[4]: '1.3.0'
...
In [7]: x[:,:,:,:,:,[1,2,3]].shape
Out[7]: (10, 1, 1, 1, 14, 3)
This looks right...
In [8]: x[...,[1,2,3]].shape
Out[8]: (10, 1, 1, 1, 14, 3)
and this...
In [9]: x[...,[1,2,3]][:,0,0,0].shape
Out[9]: (10, 14, 3)
...
In [11]: x[:,0,0,0][...,[1,2,3]].shape
Out[11]: (10, 14, 3)
Either of the last 2 attempts above results in what I want, so I can do
that... I just need some help deciphering when and why the first thing
happens.
--
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