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

  Code #1 : Working Output :

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

cosine Hyperbolic values : 
 [ 1. 2.50917848 1.60028686 11.59195328]

  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 : [ 11.59195328 6.57373932 3.75927846 2.20506252 1.39006258
 1.04106146 1.04106146 1.39006258 2.20506252 3.75927846
 6.57373932 11.59195328]

👁 Image