numpy.ma.count_masked(arr, axis=None)
[source]
Count the number of masked elements along the given axis.
Parameters: |
arr : array_like An array with (possibly) masked elements. axis : int, optional Axis along which to count. If None (default), a flattened version of the array is used. |
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Returns: |
count : int, ndarray The total number of masked elements (axis=None) or the number of masked elements along each slice of the given axis. |
See also
MaskedArray.count
>>> 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 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])
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https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.ma.count_masked.html