numpy.ma.asanyarray

ma.asanyarray(a, dtype=None, order=None)[source]

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:

aarray_like

Input data, in any form that can be converted to an array.

dtypedtype, optional

By default, the data-type is inferred from the input data.

order{‘C’, ‘F’, ‘A’, ‘K’}, optional

Memory layout. ‘A’ and ‘K’ depend on the order of input array a. ‘C’ row-major (C-style), ‘F’ column-major (Fortran-style) memory representation. ‘A’ (any) means ‘F’ if a is Fortran contiguous, ‘C’ otherwise ‘K’ (keep) preserve input order Defaults to ‘K’.

Returns:

outMaskedArray

MaskedArray interpretation of a.

See also

asarray

Similar to asanyarray, but does not conserve subclass.

Examples

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>>> import numpy as np
>>> 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.MaskedArray'>

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