count(self, axis=None, keepdims=<no value>)
Axis or axes along which the count is performed. The default, None, performs the count over all the dimensions of the input array. :None:None:`axis` may be negative, in which case it counts from the last to the first axis.
If this is a tuple of ints, the count is performed on multiple axes, instead of a single axis or all the axes as before.
If this is set to True, the axes which are reduced are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the array.
An array with the same shape as the input array, with the specified axis removed. If the array is a 0-d array, or if :None:None:`axis` is None, a scalar is returned.
Count the non-masked elements of the array along the given axis.
ma.count_masked
Count masked elements in array or along a given axis.
>>> import numpy.ma as maThis example is valid syntax, but we were not able to check execution
... 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 :None:None:`axis` keyword is specified an array of appropriate size is returned.
>>> a.count(axis=0) array([1, 1, 1])This example is valid syntax, but we were not able to check execution
>>> a.count(axis=1) array([3, 0])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.ma.extras.count_masked
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