numpy.asarray() in Python

Last Updated : 12 Nov, 2021

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 an array. This includes lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays. dtype : [data-type, optional] By default, the data-type is inferred from the input data. order : Whether to use row-major (C-style) or column-major (Fortran-style) memory representation. Defaults to ‘C’. Return : [ndarray] Array interpretation of arr. No copy is performed if the input is already ndarray with matching dtype and order. If arr is a subclass of ndarray, a base class ndarray is returned.

Code #1 : List to array

Python

# Python program explaining # numpy.asarray() function  import numpy as geek my_list = [1, 3, 5, 7, 9]  print ("Input  list : ", my_list)      out_arr = geek.asarray(my_list) print ("output array from input list : ", out_arr)

Output :

  Input  list :  [1, 3, 5, 7, 9]  output array from input list :  [1 3 5 7 9]

Code #2 : Tuple to array

Python

# Python program explaining # numpy.asarray() function  import numpy as geek  my_tuple = ([1, 3, 9], [8, 2, 6])   print ("Input  tuple : ", my_tuple)    out_arr = geek.asarray(my_tuple)  print ("output array from input tuple : ", out_arr)

Output :

Input  tuple :  ([1, 3, 9], [8, 2, 6])  output array from input tuple :  [[1 3 9]   [8 2 6]]

numpy.asarray() in Python

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