ma.asanyarray(a, dtype=None, order=None)
Convert the input to a masked array, conserving subclasses.
If a is a subclass of
, its class is conserved. No copy is performed if the input is already an
.
Parameters:aarray_likeInput data, in any form that can be converted to an array.
dtypedtype, optionalBy default, the data-type is inferred from the input data.
order{‘C’, ‘F’, ‘A’, ‘K’}, optionalMemory 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’.
Returns:outMaskedArrayMaskedArray interpretation of a.
Examples
>>> importnumpyasnp>>> x=np.arange(10.).reshape(2,5)>>> xarray([[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.MaskedArray'>