numpy.arctan2() in Python Last Updated : 07 Jul, 2021 Comments Improve Suggest changes Like Article Like Report The numpy.arctan2() method computes element-wise arc tangent of arr1/arr2 choosing the quadrant correctly. The quadrant is chosen so that arctan2(x1, x2) is the signed angle in radians between the ray ending at the origin and passing through the point (1, 0), and the ray ending at the origin and passing through the point (x2, x1). Syntax : numpy.arctan2(arr1, arr2, casting = 'same_kind', order = 'K', dtype = None, ufunc 'arctan') Parameters : arr1 : [array_like] real valued; y-coordinates arr2 : [array_like] real valued; x-coordinates. It must match shape of y-coordinates. out : [ndarray, array_like [OPTIONAL]] array of same shape as x. where : [array_like, optional] True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.Note : 2pi Radians = 360 degrees The convention is to return the angle z whose real part lies in [-pi/2, pi/2].Return : Element-wise arc tangent of arr1/arr2. The values are in the closed interval [-pi / 2, pi / 2]. Code #1 : Working Python3 # Python3 program explaining # arctan2() function import numpy as np arr1 = [-1, +1, +1, -1] arr2 = [-1, -1, +1, +1] ans = np.arctan2(arr2, arr1) * 180 / np.pi print ("x-coordinates : ", arr1) print ("y-coordinates : ", arr2) print ("\narctan2 values : \n", ans) Output : x-coordinates : [-1, 1, 1, -1] y-coordinates : [-1, -1, 1, 1] arctan2 values : [-135. -45. 45. 135.] Code #2 : Working Python3 # Python3 program showing # of arctan2() function import numpy as np a = np.arctan2([0., 0., np.inf], [+0., -0., np.inf]) b = np.arctan2([1., -1.], [0., 0.]) print ("a : ", a) print ("b : ", b) Output : a : [ 0. 3.14159265 0.78539816] b : [ 1.57079633 -1.57079633] References : https://docs.scipy.org/doc/numpy-1.13.0/reference/generated/numpy.arctan2.html#numpy.arctan2 . 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 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