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 Radians = 36o degrees Return : An array with hyperbolic sine of x for all x i.e. array elements

  Code #1 : Working Output :

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

Sine Hyperbolic values : 
 [ 0. 2.3012989 1.24936705 11.54873936]

  Code #2 : Graphical representation

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]

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