numpy.radians() and deg2rad() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.radians() is a mathematical function that helps user to convert angles from degree to radians. Syntax : numpy.radians(x[, out]) = ufunc 'radians') Parameters : array : [array_like] elements are in degrees. out : [ndaaray, optional]Output array of same shape as x. 2pi Radians = 36o degrees Return : An array with radian values in place of degree values. Code #1 : Working Python3 # Python3 program explaining # degrees() function import numpy as np import math in_array = np.arange(10.) * 90 print ("Degree values : \n", in_array) radian_Values = np.radians(in_array) print ("\nRadian values : \n", radian_Values) Output : Degree values : [ 0. 90. 180. 270. 360. 450. 540. 630. 720. 810.] Radian values : [ 0. 1.57079633 3.14159265 4.71238898 6.28318531 7.85398163 9.42477796 10.99557429 12.56637061 14.13716694] numpy.deg2rad(x[, out]) = ufunc 'deg2rad') : This mathematical function helps user to convert angles from degrees to radians Parameters : array : [array_like] elements are in radians. out : [ndaaray, optional]Output array of same shape as x. 2pi Radians = 36o degrees Return : Corresponding angles in radians. Code #2 : deg2rad() Equivalent to radians() Python3 # Python3 program explaining # rad2deg() function import numpy as np import math degree = np.arange(10.) * 90 print ("Degree values : \n", degree) radian = np.deg2rad(degree) print ("\nradian values : \n", radian) Output : Degree values : [ 0. 90. 180. 270. 360. 450. 540. 630. 720. 810.] radian values : [ 0. 1.57079633 3.14159265 4.71238898 6.28318531 7.85398163 9.42477796 10.99557429 12.56637061 14.13716694] Comment More info M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function 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 8 min read Conditional Statements in Python 3 min read Loops in Python - For, While and Nested Loops 7 min read Python Functions 5 min read Recursion in Python 6 min read Python Lambda Functions 5 min read Python Data StructuresPython String 5 min read Python Lists 5 min read Python Tuples 4 min read Dictionaries in Python 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