numpy.sinh() in Python

numpy.tanh() in Python

Last Updated : 08 Mar, 2024

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]

numpy.sinh() in Python

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