numpy.tanh() in Python Last Updated : 08 Mar, 2024 Summarize Suggest changes Share Like Article Like Report 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 Radians = 36o degrees Return : An array with hyperbolic tangent of x for all x i.e. array elements Code #1 : Working Python3 # Python3 program explaining # tanh() function import numpy as np import math in_array = [0, math.pi / 2, np.pi / 3, np.pi] print ("Input array : \n", in_array) tanh_Values = np.tanh(in_array) print ("\nTangent Hyperbolic values : \n", tanh_Values) Output : Input array : [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793] Tangent Hyperbolic values : [ 0. 0.91715234 0.78071444 0.99627208] Code #2 : Graphical representation Python3 # Python program showing Graphical # representation of tanh() function import numpy as np import matplotlib.pyplot as plt in_array = np.linspace(-np.pi, np.pi, 12) out_array = np.tanh(in_array) print("in_array : ", in_array) print("\nout_array : ", out_array) # red for numpy.tanh() plt.plot(in_array, out_array, color = 'red', marker = "o") plt.title("numpy.tanh()") plt.xlabel("X") plt.ylabel("Y") plt.show() Output : in_array : [-3.14159265 -2.57039399 -1.99919533 -1.42799666 -0.856798 -0.28559933 0.28559933 0.856798 1.42799666 1.99919533 2.57039399 3.14159265] out_array : [-0.99627208 -0.98836197 -0.96397069 -0.89125532 -0.69460424 -0.27807943 0.27807943 0.69460424 0.89125532 0.96397069 0.98836197 0.99627208] Advertise with us Next Article numpy.tan() in Python M mohit gupta_omg :) Follow Similar Reads numpy.tan() in Python 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) Ret 2 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 numpy.cosh() in Python The numpy.cosh() is a mathematical function that helps user to calculate hyperbolic cosine for all x(being the array elements). Equivalent to 1/2 * (np.exp(x) - np.exp(-x)) and np.cos(1j*x). Syntax : numpy.cosh(x[, out]) = ufunc 'cos') Parameters : array : [array_like] elements are in radians. 2pi R 2 min read numpy.angle() in Python numpy.angle() function is used when we want to compute the angle of the complex argument. A complex number is represented by “ x + yi " where x and y are real number and i= (-1)^1/2. The angle is calculated by the formula tan-1(x/y). Syntax : numpy.angle(z, deg=0) Parameters : z : [array_like] A com 2 min read numpy.arctan() in Python numpy.arctan(x[, out]) = ufunc 'arctan') : This mathematical function helps user to calculate inverse tangent for all x(being the array elements). Parameters : array : [array_like]elements are in radians. out : [array_like]array of same shape as x. Note : 2pi Radians = 360 degrees The convention is 2 min read Article Tags : Python Python-numpy Python numpy-Mathematical Function Practice Tags : python Like