-
numpy.ma.asarray(a, dtype=None, order=None)
[source] -
Convert the input to a masked array of the given data-type.
No copy is performed if the input is already an
ndarray
. Ifa
is a subclass ofMaskedArray
, a base classMaskedArray
is returned.Parameters: a : array_like
Input data, in any form that can be converted to a masked array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists, ndarrays and masked arrays.
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
Masked array interpretation of
a
.See also
-
asanyarray
- Similar to
asarray
, but conserves subclasses.
Examples
>>> x = np.arange(10.).reshape(2, 5) >>> x array([[ 0., 1., 2., 3., 4.], [ 5., 6., 7., 8., 9.]]) >>> np.ma.asarray(x) masked_array(data = [[ 0. 1. 2. 3. 4.] [ 5. 6. 7. 8. 9.]], mask = False, fill_value = 1e+20) >>> type(np.ma.asarray(x)) <class 'numpy.ma.core.MaskedArray'>
-
numpy.ma.asarray()
2017-01-10 18:15:03
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