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# Numpy MaskedArray asarray() method | Python

• Last Updated : 17 Feb, 2020

`numpy.ma.asarray()` function is used when we want to convert input to a masked array of the given data-type.
No copy is performed if the input is already a ndarray. If arr is a subclass of MaskedArray, a base class MaskedArray is returned.

Syntax : numpy.ma.asarray(arr, dtype=None, order=None)

Parameters :
arr : [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 : [data-type, optional] By default, the data-type is inferred from the input data.
order : Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to āCā.

Code #1 :

 `# Python program explaining``# numpy.ma.asarray() function``import` `numpy as geek``my_list ``=` `[``1``, ``4``, ``8``, ``7``, ``2``, ``5``]`` ` `print` `(``"Input list : "``, my_list)`` ` ` ` `out_arr ``=` `geek.ma.asarray(my_list)``print` `(``"output array from input list : "``, out_arr) `

Output :

```Input list :  [1, 4, 8, 7, 2, 5]
output array from input list :  [1 4 8 7 2 5]

```

Code #2 :

 `# Python program explaining``# numpy.ma.asarray() function`` ` `import` `numpy as geek`` ` `my_tuple ``=` `([``1``, ``4``, ``8``], [``7``, ``2``, ``5``])`` ` `print` `(``"Input touple : "``, my_tuple)`` ` `out_arr ``=` `geek.ma.asarray(my_tuple) ``print` `(``"output array from input touple : "``, out_arr) `

Output :

```Input touple :  ([1, 4, 8], [7, 2, 5])
output array from input touple :  [[1 4 8]
[7 2 5]]

```

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