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Masked arrays and apply_over_axes #4461

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bensondaled opened this issue Mar 8, 2014 · 1 comment · Fixed by #4463
Closed

Masked arrays and apply_over_axes #4461

bensondaled opened this issue Mar 8, 2014 · 1 comment · Fixed by #4463

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@bensondaled
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Cannot get apply_over_axes to work on masked arrays. Have tried both np.apply_over_axes and np.ma.apply_over_axes.

x = np.array([1,2,3])
x = np.masked_where(x==3, x)
np.ma.apply_over_axes(np.ma.mean, x, axes=(0))

array([ 2. ])

This should be 1.5. Have tried all combinations of np.ma and regular np functions. Can't get it to work. (Obviously the example given does not require apply_over_axes, but used it for simplicity.)

Using numpy version 1.8
@abalkin abalkin mentioned this issue Mar 9, 2014
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@abalkin
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abalkin commented Mar 9, 2014

Interestingly, the test for this case was already partially there, but the control was incorrect and assert not there.

abalkin added a commit to abalkin/numpy that referenced this issue Apr 2, 2014
@abalkin
BUG: Masked arrays and apply_over_axes
76c9bb3 
Masked arrays version of apply_over_axes did not apply
function correctly to arrays with non-trivial masks.

Fixes numpy#4461.
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BUG: Masked arrays and apply_over_axes abalkin/numpy
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@abalkin @bensondaled