numpy.ascontiguousarray() in Python
Last Updated : 16 Nov, 2021
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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)
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 tuple : ", my_tuple)
out_arr = geek.ascontiguousarray(my_tuple, dtype = geek.int32)
print ("output array from input tuple : ", out_arr)
Input tuple : ([2, 6, 10], [8, 12, 16]) output array from input tuple : [[ 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))
Input scalar : 100 output array from input scalar : [ 100.] class 'numpy.ndarray'
