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# numpy.asanyarray() in Python

• Difficulty Level : Basic
• Last Updated : 28 May, 2019

`numpy.asanyarray()`function is used when we want to convert input to an array but it pass ndarray subclasses through. Input can be scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.

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

Parameters :
arr : [array_like] Input data, in any form that can be converted to an array. This includes scalars, 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 or an ndarray subclass] Array interpretation of arr. If arr is ndarray or a subclass of ndarray, it is returned as-is and no copy is performed.

Code #1 : List to array

 `# Python program explaining``# numpy.asanyarray() function`` ` `import` `numpy as geek``my_list ``=` `[``1``, ``3``, ``5``, ``7``, ``9``]`` ` `print` `(``"Input  list : "``, my_list)``  ` `   ` `out_arr ``=` `geek.asanyarray(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.asanyarray() function`` ` `import` `numpy as geek`` ` `my_tuple ``=` `([``1``, ``3``, ``9``], [``8``, ``2``, ``6``])``  ` `print` `(``"Input  tuple : "``, my_tuple)``   ` `out_arr ``=` `geek.asanyarray(my_tuple) ``print` `(``"output array from input tuple : "``, out_arr) `

Output :

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

Code #3 : Scalar to array

 `# Python program explaining``# numpy.asanyarray() function`` ` `import` `numpy as geek`` ` `my_scalar ``=` `12``  ` `print` `(``"Input  scalar : "``, my_scalar)``   ` `out_arr ``=` `geek.asanyarray(my_scalar) ``print` `(``"output array from input scalar : "``, out_arr) ``print``(``type``(out_arr))`

Output :

```Input  scalar :  12
output array from input scalar :  12
class 'numpy.ndarray'
```

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