numpy.ma.asarray#
- 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
. If a is a subclass ofMaskedArray
, a base classMaskedArray
is returned.- Parameters:
- aarray_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.
- dtypedtype, 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:
- outMaskedArray
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.MaskedArray'>