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numpy.asarray() in Python
  • Last Updated : 29 Nov, 2018
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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)

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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