numpy.frompyfunc() in Python (original) (raw)

Last Updated : 29 Jun, 2021

numpy.frompyfunc(func, nin, nout) function allows to create an arbitrary Python function as Numpy ufunc (universal 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 array elements.

Code #1:

Python3

import numpy as np

a = np.array([ 34 , 67 , 89 , 15 , 33 , 27 ])

string_generator = np.frompyfunc( str , 1 , 1 )

print ( "Original array-" , a)

print ( "After conversion to string-" , string_generator(a))

Output:

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

Code #2:

Python3

import numpy as np

a = np.array([ 345 , 122 , 454 , 232 , 334 , 56 , 66 ])

def fun(x):

`` s = str (x)

`` return s[:: - 1 ] = = s

check_palindrome = np.frompyfunc(fun, 1 , 1 )

print ( "Original array-" , a)

print ( "Checking of number as palindrome-" ,

`` check_palindrome(a))

Output:

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 accept a ndarray as an input argument and also return a ndarray object as output.

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