# numpy.asarray() in Python

• Last Updated : 29 Nov, 2018

`numpy.asarray()`function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.

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

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Parameters :
arr : [array_like] Input data, in any form that can be converted to an array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
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 ‘C’.

Return : [ndarray] Array interpretation of arr. No copy is performed if the input is already ndarray with matching dtype and order. If arr is a subclass of ndarray, a base class ndarray is returned.

Code #1 : List to array

 `# Python program explaining``# numpy.asarray() function`` ` `import` `numpy as geek``my_list ``=` `[``1``, ``3``, ``5``, ``7``, ``9``]`` ` `print` `(``"Input  list : "``, my_list)``  ` `   ` `out_arr ``=` `geek.asarray(my_list)``print` `(``"output array from input list : "``, out_arr) `

Output :

```Input  list :  [1, 3, 5, 7, 9]
output array from input list :  [1 3 5 7 9]
```

Code #2 : Tuple to array

 `# Python program explaining``# numpy.asarray() function`` ` `import` `numpy as geek`` ` `my_tuple ``=` `([``1``, ``3``, ``9``], [``8``, ``2``, ``6``])``  ` `print` `(``"Input  touple : "``, my_tuple)``   ` `out_arr ``=` `geek.asarray(my_tuple) ``print` `(``"output array from input touple : "``, out_arr) `

Output :

```Input  touple :  ([1, 3, 9], [8, 2, 6])
output array from input touple :  [[1 3 9]
[8 2 6]]
```

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