Hi there, 

I would love some input on this issue, 
https://github.com/numpy/numpy/issues/21375. 

I have created a draft PR which I believe resolves it, 
https://github.com/numpy/numpy/pull/25474. Decided to go with adding ignore_nan 
to np.average rather than adding weights to np.nanmean as it seemed logical and 
was the path of least resistance. 

Please let me know what you think!

-awestm
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