numpy.tan() in Python (original) (raw)

Last Updated : 08 Mar, 2024

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

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

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)

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]