numpy.asarray() is used when we want to convert the input to an array. Input data can be lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.
Syntax: numpy.asarray (arr, dtype = None, order = None)
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
Input list: [1, 3, 5, 7, 9] output array from input list: [1 3 5 7 9]
Code # 2: tuple to array
Input touple: ([1, 3, 9], [8, 2, 6]) output array from input touple: [[1 3 9] [8 2 6]]