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    numpy.asarray() in Python

    Last Updated : 12 Nov, 2021
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    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]]
    
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    Article Tags :
    • Python
    • Python-numpy
    • Python numpy-arrayCreation

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