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
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
import numpy as geek
my_tuple = ([ 2 , 6 , 10 ], [ 8 , 12 , 16 ])
print ( "Input tuple : " , my_tuple)
out_arr = geek.ascontiguousarray(my_tuple, dtype = geek.int32)
print ( "output array from input tuple : " , out_arr)
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Output :
Input tuple : ([2, 6, 10], [8, 12, 16])
output array from input tuple : [[ 2 6 10]
[ 8 12 16]]
Code #3 : Scalar to array
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'
Last Updated :
16 Nov, 2021
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