8000 numpy.average and numpy.mean give different results for masked arrays · Issue #8332 · numpy/numpy · GitHub
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numpy.average and numpy.mean give different results for masked arrays #8332

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quantology opened this issue Nov 29, 2016 · 2 comments
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numpy.average and numpy.mean give different results for masked arrays #8332

quantology opened this issue Nov 29, 2016 · 2 comments

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@quantology
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a = np.ma.array([10, 20, 30, 40, 50, 60, 70, 80, 90, -1])
log_a = np.log(a)
np.average(log_a), np.mean(log_a) # returns (3.452509331702788, 3.7250103685586535)

This can be fixed by changing https://github.com/numpy/numpy/blob/v1.11.0/numpy/lib/function_base.py#L921 from "np.asarray" to "np.asanyarray", but I didn't want to make a whole dev env just for that little fix.
@mhvk
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mhvk commented Nov 29, 2016

Thanks for the report. This was a known annoyance that should be fixed in recent numpy (and will be available in numpy 1.13); see #8290.

@quantology
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Oh thanks, didn't see that when I searched.

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