numpy.tan() in Python Last Updated : 08 Mar, 2024 Summarize Comments Improve Suggest changes Share 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 infoAdvertise with us Next Article numpy.tan() in Python M mohit gupta_omg :) Follow Improve Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Similar Reads numpy.tanh() in Python The numpy.tanh()is a mathematical function that helps user to calculate hyperbolic tangent for all x(being the array elements). Equivalent to np.sinh(x) / np.cosh(x) or -1j * np.tan(1j*x). Syntax : numpy.tanh(x[, out]) = ufunc 'tanh') Parameters : array : [array_like] elements are in radians. 2pi Ra 2 min read numpy.sin() in Python numpy.sin(x[, out]) = ufunc 'sin') : This mathematical function helps user to calculate trigonometric sine for all x(being the array elements). Parameters : array : [array_like]elements are in radians. 2pi Radians = 36o degrees Return : An array with trigonometric sine of x for all x i.e. array elem 1 min read numpy.sinc() in Python numpy.sinc(array) : This mathematical function helps user to calculate sinc function for all x(being the array elements). Parameters : array : [array_like] elements are in radians. 2pi Radians = 36o degrees Return : An array with sinc value of x for all x i.e. array elements. Code #1 : Working Pytho 1 min read numpy.sinh() in Python The numpy.sinh() is a mathematical function that helps user to calculate hyperbolic sine for all x(being the array elements). Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) or -1j * np.sin(1j*x). Syntax: numpy.sinh(x[, out]) = ufunc 'sin') Parameters : array : [array_like] elements are in radians. 2pi 2 min read numpy.cos() in Python numpy.cos(x[, out]) = ufunc 'cos') : This mathematical function helps user to calculate trigonometric cosine for all x(being the array elements). Parameters : array : [array_like]elements are in radians. 2pi Radians = 360 degrees Return : An array with trigonometric cosine of x for all x i.e. array 2 min read Like