Convert the input to a masked array, conserving subclasses.
If a is a subclass of MaskedArray, its class is conserved. No copy is performed if the input is already an ndarray.
Parameters: | a : array_like
dtype : dtype, optional
order : {‘C’, ‘F’}, optional
|
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Returns: | out : MaskedArray
|
See also
Examples
>>> x = np.arange(10.).reshape(2, 5)
>>> x
array([[ 0., 1., 2., 3., 4.],
[ 5., 6., 7., 8., 9.]])
>>> np.ma.asanyarray(x)
masked_array(data =
[[ 0. 1. 2. 3. 4.]
[ 5. 6. 7. 8. 9.]],
mask =
False,
fill_value = 1e+20)
>>> type(np.ma.asanyarray(x))
<class 'numpy.ma.core.MaskedArray'>