numpy.tan() in Python Last Updated : 08 Mar, 2024 Comments Improve Suggest changes Like Article Like Report numpy.tan(array[, out]) = ufunc 'tan') : This mathematical function helps user to calculate trigonometric tangent for all x(being the array elements). Parameters : array : [array_like]elements are in radians. out : [optional]shape same as array. 2pi Radians = 360 degrees tan(x) = sin(x) / cos(x) Return : An array with trigonometric sine of x for all x i.e. array elements Code #1 : Working Python # Python program explaining # tan() function import numpy as np import math in_array = [0, math.pi / 4, 3*np.pi / 2, math.pi/6] print ("Input array : \n", in_array) tan_Values = np.tan(in_array) print ("\nTan values : \n", tan_Values) Output : Input array : [0, 0.7853981633974483, 4.71238898038469, 0.5235987755982988] Tan values : [ 0.00000000e+00 1.00000000e+00 5.44374645e+15 5.77350269e-01] Code #2 : Graphical representation Python # Python program showing # Graphical representation of # tan() function import numpy as np import matplotlib.pyplot as plt in_array = np.linspace(0, np.pi, 12) out_array = np.tan(in_array) print("in_array : ", in_array) print("\nout_array : ", out_array) # red for numpy.tan() plt.plot(in_array, out_array, color = 'red', marker = "o") plt.title("numpy.tan()") plt.xlabel("X") plt.ylabel("Y") plt.show() Output : in_array : [ 0. 0.28559933 0.57119866 0.856798 1.14239733 1.42799666 1.71359599 1.99919533 2.28479466 2.57039399 2.85599332 3.14159265] out_array : [ 0.00000000e+00 2.93626493e-01 6.42660977e-01 1.15406152e+00 2.18969456e+00 6.95515277e+00 -6.95515277e+00 -2.18969456e+00 -1.15406152e+00 -6.42660977e-01 -2.93626493e-01 -1.22464680e-16] 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