`numpy.ma.core:asanyarray`

Signature

def asanyarray ( a , dtype = None , order = None )

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.

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', 'A', 'K'}, optional: Memory layout. 'A' and 'K' depend on the order of input array a. 'C' row-major (C-style), 'F' column-major (Fortran-style) memory representation. 'A' (any) means 'F' if a is Fortran contiguous, 'C' otherwise 'K' (keep) preserve input order Defaults to 'K'.

import numpy as np
x = np.arange(10.).reshape(2, 5)
x
np.ma.asanyarray(x)
type(np.ma.asanyarray(x))