asarray(a, dtype=None, order=None)
No copy is performed if the input is already an ndarray
. If a is a subclass of MaskedArray
, a base class MaskedArray
is returned.
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.
By default, the data-type is inferred from the input data.
Whether to use row-major ('C') or column-major ('FORTRAN') memory representation. Default is 'C'.
Convert the input to a masked array of the given data-type.
asanyarray
Similar to :None:None:`asarray`, but conserves subclasses.
>>> x = np.arange(10.).reshape(2, 5)This example is valid syntax, but we were not able to check execution
... 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)This example is valid syntax, but we were not able to check execution
>>> type(np.ma.asarray(x)) <class 'numpy.ma.core.MaskedArray'>See :
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