numpy.asarray() in Python (original) (raw)

Last Updated : 12 Nov, 2021

**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

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

import numpy as geek

my_tuple = ([ 1 , 3 , 9 ], [ 8 , 2 , 6 ])

print ( "Input tuple : " , my_tuple)

out_arr = geek.asarray(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]]