numpy.asarray () in Python

Arrays | NumPy | Python Methods and Functions

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

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

# 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 ( "ou tput 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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