  # numpy.asarray_chkfinite () in Python

Arrays | NumPy | Python Methods and Functions

`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)

Parameters:
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

 ` # Python program explaining ` ` # numpy.asarray_chkfinite () function `   ` import ` ` numpy as geek ` ` my_list ` ` = ` ` [` ` 1 ` `, ` ` 3 ` `, ` ` 5 ` `, ` ` 7 ` `, ` ` 9 ` `] ` ` `  ` print ` ` (< / code> "Input list:" , my_list) ``      out_arr = geek.asarray_chkfinite (my_list, dtype = ` float ` ) 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 program explaining # num py.asarray_chkfinite () function   import numpy as geek   my_tuple = ([ 1 , 3 , 9 ], [ 8 , 2 , 6 ])   print ( " Input tuple: " , my_tuple)    out_arr = geek.asarray_chkfinite (my_tuple, dtype = ` int8` )  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]] `

Note: ` numpy.asarray_chkfinite () ` raises ` ValueError ` if arr contains NaN (not a number) or Inf (infinity).

Code # 3:

` `

` # Program Python explaining # numpy.asarray_chkfinite () function # when a value error occurs     import numpy as geek   my_list = [ 1 , 3 , 5 , 7 , geek.inf, geek.nan]   print ( "Input scalar:" , my_scalar)   out_arr = geek.asarray_chkfinite (my_list)  print ( " output fortan array from input scalar: " , out_arr)  `

` `

Output:

` ValueError: array must not contain infs or NaNs `