8000 numpy.ma - some statistics operators do not accept tuple axis arguments · Issue #8047 · numpy/numpy · GitHub
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mwtoews opened this issue Sep 12, 2016 · 1 comment
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numpy.ma - some statistics operators do not accept tuple axis arguments #8047

mwtoews opened this issue Sep 12, 2016 · 1 comment

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@mwtoews
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mwtoews commented Sep 12, 2016 •
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This is essentially a re-opening of #6844 with examples:

import numpy as np
print(np.__version__)  # 1.11.1
x = np.ma.arange(24)
x.shape = (4, 3, 2)
# e.g. this works
print(np.ma.mean(x, axis=(0,1)))  # [11.0 12.0]
# but it doesn't work with a mask array set
x.mask = x.data > 12

Testing with version 1.11.1, here are the methods that raise TypeError: tuple indices must be integers, not tuple:

  • np.ma.mean(x, axis=(0,1))
  • np.ma.std(x, axis=(0, 1))
  • np.ma.var(x, axis=(0, 1))

This raises a variation TypeError: an integer is required for the axis:

  • np.ma.median(x, axis=(0, 1))

And these methods appear to work, returning a masked array result:

  • np.ma.min(x, axis=(0, 1)) # [0 1]
  • np.ma.max(x, axis=(0, 1)) # [12 11]
  • np.ma.sum(x, axis=(0, 1)) # [42 36]

(are there other operators with a mask= argument?)

I get the same results with NumPy 1.11.1 with Python 2.7 on Windows and Linux.
@seberg
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seberg commented Sep 12, 2016

These things all work on master, so this seems already fixed.

@seberg seberg closed this as completed Sep 12, 2016
jotasi pushed a commit to jotasi/numpy that referenced this issue Dec 21, 2016
@rgommers
BUG: fix MANIFEST.in for removal of a file in numpygh-8047.
3ae925f
jotasi pushed a commit to jotasi/numpy that referenced this issue Dec 21, 2016
@njsmith
Merge pull request numpy#6587 from rgommers/fix-failure
f428bce 
BUG: fix MANIFEST.in for removal of a file in numpygh-8047.
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