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numpy.ascontiguousarray() in Python

Last Updated : 16 Nov, 2021
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 Output :
Input list : [100, 200, 300, 400, 500]
output array from input list : [ 100. 200. 300. 400. 500.]
  Code #2 : Tuple to array 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
Output :
Input scalar : 100
output array from input scalar : [ 100.]
class 'numpy.ndarray'
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