-
numpy.ma.asanyarray(a, dtype=None)
[source] -
Convert the input to a masked array, conserving subclasses.
If
a
is a subclass ofMaskedArray
, its class is conserved. No copy is performed if the input is already anndarray
.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
.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'>
-
numpy.ma.asanyarray()
2017-01-10 18:15:03
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