numpy.ascontiguousarray() in Python

Last Updated : 29 Nov, 2018

numpy.ascontiguousarray()function is used when we want to return a contiguous array in memory (C order).

Syntax : numpy.ascontiguousarray(arr, dtype=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 : [str or dtype object, optional] Data-type of returned array.

Return : ndarray Contiguous array of same shape and content as arr, with type dtype if specified.

Code #1 : List to array

# Python program explaining 
# numpy.ascontiguousarray() function 
  
import numpy as geek 
my_list = [100, 200, 300, 400, 500] 
  
print ("Input  list : ", my_list) 
   
    
out_arr = geek.ascontiguousarray(my_list, dtype = geek.float32) 
print ("output array from input list : ", out_arr)  

Output :

Input  list :  [100, 200, 300, 400, 500]
output array from input list :  [ 100.  200.  300.  400.  500.]

Code #2 : Tuple to array

# Python program explaining 
# numpy.ascontiguousarray() function 
  
import numpy as geek 
  
my_tuple = ([2, 6, 10], [8, 12, 16]) 
   
print ("Input  touple : ", my_tuple) 
    
out_arr = geek.ascontiguousarray(my_tuple, dtype = geek.int32)  
print ("output array from input touple : ", out_arr)  

Output :

Input  touple :  ([2, 6, 10], [8, 12, 16])
output array from input touple :  [[ 2  6 10]
 [ 8 12 16]]

Code #3 : Scalar to array

# Python program explaining 
# numpy.ascontiguousarray() function 
  
import numpy as geek 
  
my_scalar = 100
   
print ("Input  scalar : ", my_scalar) 
    
out_arr = geek.ascontiguousarray(my_scalar, dtype = geek.float32)  
print ("output array from input scalar : ", out_arr)  
print(type(out_arr)) 

Output :

Input  scalar :  100
output array from input scalar :  [ 100.]
class 'numpy.ndarray'

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