numpy.ascontiguousarray() in Python

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

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# 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) 

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Output : 


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



 

Code #2 : Tuple to array 













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# 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)  



















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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 













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# 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)) 



















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Output : 


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




          
          
          
          

            

    

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