numpy.ma.count(self, axis=None, keepdims=<no value>) = <numpy.ma.core._frommethod object>
Count the nonmasked elements of the array along the given axis.
Parameters: 


Returns: 

See also
count_masked
>>> import numpy.ma as ma >>> a = ma.arange(6).reshape((2, 3)) >>> a[1, :] = ma.masked >>> a masked_array( data=[[0, 1, 2], [, , ]], mask=[[False, False, False], [ True, True, True]], fill_value=999999) >>> a.count() 3
When the axis
keyword is specified an array of appropriate size is returned.
>>> a.count(axis=0) array([1, 1, 1]) >>> a.count(axis=1) array([3, 0])
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https://docs.scipy.org/doc/numpy1.17.0/reference/generated/numpy.ma.count.html