[NumPy-Tickets] [NumPy] #1180: numpy.average: add an option to skip 'None' values from count

[NumPy Trac]

#1180: numpy.average: add an option to skip 'None' values from count
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  Reporter:  dalloliogm   |       Owner:  somebody   
      Type:  enhancement  |      Status:  closed     
  Priority:  normal       |   Milestone:  Unscheduled
 Component:  Other        |     Version:             
Resolution:  wontfix      |    Keywords:             
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Comment(by pv):

 I don't see any reasons to treat `None` specially. Numpy has facilities
 for treating missing values -- masked arrays and NaNs -- and there is no
 reason to discuss a new approach.

 I also don't think there is a reason to mention it in the documentation.
 Rather than explaining how to deal with `None` in data (as in
 commit:ac2c160c5b -- I'd suggest reverting it) it would be more useful to
 point to the direction of masked arrays and NaNs.

-- 
Ticket URL: <http://projects.scipy.org/numpy/ticket/1180#comment:4>
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