numpy.degrees() and rad2deg() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report The numpy.degrees() is a mathematical function that helps user to convert angles from radians to degrees. Syntax : numpy.degrees(x[, out]) = ufunc 'degrees') Parameters : array : [array_like] elements are in radians. out : [ndaaray, optional] Output array of same shape as x. 2pi Radians = 360 degrees Return : An array with degree values in place of radian values. Code #1 : Working Python3 # Python3 program explaining # degrees() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Radian values : \n", in_array) degree_Values = np.degrees(in_array) print ("\nDegree values : \n", degree_Values) Output : Radian values : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Degree values : [ 0. 90. 60. 180.] numpy.rad2deg(x[, out]) = ufunc 'rad2deg') : This mathematical function helps user to convert angles from radians to degrees. 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 degree. Code #2 : rad2deg() Equivalent to degree() Python3 # Python3 program explaining # rad2deg() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Radian values : \n", in_array) out_Values = np.rad2deg(in_array) print ("\nDegree values : \n", out_Values) Output : Radian values : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Degree values : [ 0. 90. 60. 180.] Comment More infoAdvertise with us 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 6 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 11 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