Skip to content
Related Articles

Related Articles

numpy.sinh() in Python
  • Last Updated : 04 Dec, 2020

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 Radians = 36o degrees

Return : An array with hyperbolic sine of x for all x i.e. array elements



 
Code #1 : Working




# Python3 program explaining
# sinh() function
  
import numpy as np
import math
  
in_array = [0, math.pi / 2, np.pi / 3, np.pi]
print ("Input array : \n", in_array)
  
Sinh_Values = np.sinh(in_array)
print ("\nSine Hyperbolic values : \n", Sinh_Values)


Output :

Input array : 
 [0, 1.5707963267948966, 1.0471975511965976, 3.141592653589793]

Sine Hyperbolic values : 
 [  0.           2.3012989    1.24936705  11.54873936]

 
Code #2 : Graphical representation




# Python program showing Graphical
# representation of sinh() function
import numpy as np
import matplotlib.pyplot as plt
  
in_array = np.linspace(-np.pi, np.pi, 12)
out_array = np.sinh(in_array)
  
print("in_array : ", in_array)
print("\nout_array : ", out_array)
  
# red for numpy.sinh()
plt.plot(in_array, out_array, color = 'red', marker = "o")
plt.title("numpy.sinh()")
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 :  [-11.54873936  -6.49723393  -3.62383424  -1.9652737   -0.96554336
  -0.28949778   0.28949778   0.96554336   1.9652737    3.62383424
   6.49723393  11.54873936]


 
References :
https://docs.scipy.org/doc/numpy-1.14.0/reference/generated/numpy.sinh.html#numpy.sinh
.

Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.

To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course.

My Personal Notes arrow_drop_up
Recommended Articles
Page :