numpy.ascontiguousarray() in Python Last Updated : 16 Nov, 2021 Comments Improve Suggest changes Like Article Like Report 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 # 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 # 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) 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 Python # 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' Comment More infoAdvertise with us Next Article numpy.ascontiguousarray() in Python J jana_sayantan Follow Improve Article Tags : Python Python-numpy Python numpy-arrayCreation Practice Tags : python Similar Reads numpy.asarray() in Python numpy.asarray()function is used when we want to convert input to an array. Input can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists and arrays. Syntax : numpy.asarray(arr, dtype=None, order=None) Parameters : arr : [array_like] Input data, in any form that can be converted to a 2 min read numpy.asanyarray() in Python numpy.asanyarray()function is used when we want to convert input to an array but it pass ndarray subclasses through. Input can be scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asanyarray(arr, dtype=None, order=None) Parameters : arr : [array_ 2 min read numpy.asfarray() in Python numpy.asfarray()function is used when we want to convert input to a float type array. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asfarray(arr, dtype=type 'numpy.float64') Parameters : arr : [array_like] Input data, in any for 2 min read numpy.asfortranarray() in Python numpy.asfortranarray() function is used when we want to convert input to a array which is laid out in Fortran order in memory. Input includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. Syntax : numpy.asfortranarray(arr, dtype=None)Â Parameters :Â arr : [ar 2 min read NumPy Array in Python NumPy (Numerical Python) is a powerful library for numerical computations in Python. It is commonly referred to multidimensional container that holds the same data type. It is the core data structure of the NumPy library and is optimized for numerical and scientific computation in Python. Table of C 2 min read Like