count_masked(arr, axis=None)
An array with (possibly) masked elements.
Axis along which to count. If None (default), a flattened version of the array is used.
The total number of masked elements (axis=None) or the number of masked elements along each slice of the given axis.
Count the number of masked elements along the given axis.
MaskedArray.count
Count non-masked elements.
>>> import numpy.ma as ma
... a = np.arange(9).reshape((3,3))
... a = ma.array(a)
... a[1, 0] = ma.masked
... a[1, 2] = ma.masked
... a[2, 1] = ma.masked
... a masked_array( data=[[0, 1, 2], [--, 4, --], [6, --, 8]], mask=[[False, False, False], [ True, False, True], [False, True, False]], fill_value=999999)
>>> ma.count_masked(a) 3
When the :None:None:`axis` keyword is used an array is returned.
>>> ma.count_masked(a, axis=0) array([1, 1, 1])
>>> ma.count_masked(a, axis=1) array([0, 2, 1])See :
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