numpy.asarray_chkfinite() is used when we want to convert the input to an array, checking for NaN (not a number) or Infs (infinity). Input includes scalars, lists, lists of tuples, tuples, tuples of tuples, tuples of lists, and ndarrays.
Syntax: numpy.asarray_chkfinite (arr, dtype = None, order = None)
arr: [array_like] Input data, in any form that can be converted to an float type array ... This includes scalar, lists, lists of tuples, tuples, tuples of tuples, tuples of lists and ndarrays.
dtype: 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. 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 tuple: ([1, 3, 9], [8, 2, 6]) output array from input tuple: [ [1 3 9] [8 2 6]]
numpy.asarray_chkfinite () raises
ValueError if arr contains NaN (not a number) or Inf (infinity).
Code # 3:
ValueError: array must not contain infs or NaNs
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