numpy.ma.asanyarray¶

numpy.ma.asanyarray(a, dtype=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:

Parameters:	a : array_like Input data, in any form that can be converted to an array. dtype : dtype, optional By default, the data-type is inferred from the input data. order : {‘C’, ‘F’}, optional Whether to use row-major (‘C’) or column-major (‘FORTRAN’) memory representation. Default is ‘C’.
Returns:	out : MaskedArray MaskedArray interpretation of a.

a : array_like

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

dtype : dtype, optional

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

order : {‘C’, ‘F’}, optional

Whether to use row-major (‘C’) or column-major (‘FORTRAN’) memory representation. Default is ‘C’.

Returns:

out : MaskedArray

MaskedArray interpretation of a.

See also

asarray: Similar to asanyarray, but does not conserve subclass.

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'>