numpy.MaskedArray.any() returns True if any of the elements in the masked array evaluates to True.Masked values are considered False during computation. p>
numpy.MaskedArray.any (axis = None, out = None, keepdims)
axis: [None or int or tuple of ints, optional] Axis or axes along which a logical AND reduction is performed.
out : [ndarray, optional] A location into which the result is stored.
– & gt; If provided, it must have a shape that the inputs broadcast to.
– & gt; If not provided or None, a freshly-allocated array is returned.
keepdims: [bool, optional] 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 input array.
Return: [bool or ndarray] A new boolean or ndarray is returned unless out is specified, in which case a reference to out is returned.
Code # 1:
Input array: [1 2 3 -1 5] Masked array: [1 2 - -1 5] Output array: True pre>
Code # 2:
Input array: [1 20 30 40 50] Masked array: [- - - - -] Output array: -