numpy.ma.asanyarray — NumPy v1.11 Manual (original) (raw)
numpy.ma.asanyarray(a, dtype=None)[source]¶
Convert the input to a masked array, conserving subclasses.
If a is a subclass of MaskedArray, its class is conserved. No copy is performed if the input is already an ndarray.
| 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
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'>