numpy.frompyfunc() in Python Last Updated : 29 Jun, 2021 Comments Improve Suggest changes Like Article Like Report 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 # Python code to demonstrate the # use of numpy.frompyfunc import numpy 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)) Output: Original array- [34 67 89 15 33 27] After conversion to string- ['34' '67' '89' '15' '33' '27'] Code #2: Python3 # Python code to demonstrate # user-defined function as ufunc import numpy as np # create an array of numbers a = np.array([345, 122, 454, 232, 334, 56, 66]) # user-defined function to check # whether a no. is palindrome or not def fun(x): s = str(x) return s[::-1]== s # 'check_palindrome' as universal function 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. Comment More info T Tanvi_Garg Follow Improve Article Tags : Python Python-numpy Python numpy-Logic Functions Explore Python FundamentalsPython Introduction 3 min read Input and Output in Python 4 min read Python Variables 5 min read Python Operators 5 min read Python Keywords 2 min read Python Data Types 7 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 6 min read Python Functions 5 min read Recursion in Python 4 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 4 min read Python Tuples 4 min read Python Dictionary 3 min read Python Sets 6 min read Python Arrays 7 min read List Comprehension in Python 4 min read Advanced PythonPython OOP Concepts 11 min read Python Exception Handling 5 min read File Handling in Python 4 min read Python Database Tutorial 4 min read Python MongoDB Tutorial 2 min read Python MySQL 9 min read Python Packages 12 min read Python Modules 7 min read Python DSA Libraries 15 min read List of Python GUI Library and Packages 3 min read Data Science with PythonNumPy Tutorial - Python Library 3 min read Pandas Tutorial 6 min read Matplotlib Tutorial 5 min read Python Seaborn Tutorial 15+ min read StatsModel Library- Tutorial 4 min read Learning Model Building in Scikit-learn 8 min read TensorFlow Tutorial 2 min read PyTorch Tutorial 7 min read Web Development with PythonFlask Tutorial 8 min read Django Tutorial | Learn Django Framework 7 min read Django ORM - Inserting, Updating & Deleting Data 4 min read Templating With Jinja2 in Flask 6 min read Django Templates 7 min read Python | Build a REST API using Flask 3 min read How to Create a basic API using Django Rest Framework ? 4 min read Python PracticePython Quiz 3 min read Python Coding Practice 1 min read Python Interview Questions and Answers 15+ min read Like