numpy.asarray() in Python

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 arrays.

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

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

Output :

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

 
Code #2 : Tuple to array

Output :

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