numpy.ma.asarray¶
- 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. If a is a subclass of MaskedArray, a base class MaskedArray 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'>