  # numpy.frompyfunc () in Python

NumPy | Python Methods and Functions

The numpy.frompyfunc (func, nin, nout) function lets you create an arbitrary Python function like a Numpy ufunc (generic function).

Parameters:
func: [A python function object] An arbitrary python function
nin: [int] Number of input arguments to that function.
nout: [int] Number of objects returned by that function.

Return: A Numpy universal function object.

For example abs_value = numpy.frompyfunc (abs, 1, 1) will create a ufunc that will return the absolute values ​​of the array elements.

Code # 1:

 ` # Python code for demonstration ` ` # using numpy .frompyfunc ` ` import ` ` nu mpy as np `   ` # create an array of numbers ` ` a ` ` = ` ` np.array ([` ` 34 ` `, ` ` 67 ` `, ` ` 89 ` `, ` ` 15 ` `, 33 , 27 ]) ``   # python str function as ufunc string_generator = np.frompyfunc ( str , 1 , 1 ) ``  `  ` print ` ` (` `" Original array- "` `, a) ` ` print ` ` (` ` "After conversion to string-" ` `, string_generator (a)) `

Exit:

` Original array- [34 67 89 15 33 27 ] After conversion to string- [`34`` 67` `89`` 15`` 33`` 27`] `

Code # 2:

 ` # Python code for demo ` ` # custom function as ufunc ` ` import ` ` numpy as np `   ` # create an array of numbers ` ` a ` ` = ` ` np.array ([` ` 345 ` `, ` ` 122 ` `, ` ` 454 ` `, ` ` 232 ` `, ` ` 334 ` `, ` ` 56 ` `, ` ` 66 ` `]) `   ` # custom function to check ` ` # if not. palindrome or not ` ` def ` ` fun (x): ` ` s ` ` = ` ` str ` ` (x) ` ` return s [:: - 1 ] = = s ``   # & # 39; check_palindrome & # 39; as a generic function check_palindrome = np. frompyfunc (fun, 1 , 1 )  print ( "Original array-" , a) print ( " Checking of number as palindrome- " ,  check_palindrome (a)) `

Exit:

``` Original array- [345 122 454 232 334 56 66] Checking of number as palindrome- [False False True True False False True]    Note.  This custom  ufunc  created using ` frompyfunc ` always accepts accepts ndarray as input and also returns an ndarray object as output.