# numpy.cosh() in Python

numpy.cosh(x[, out]) = ufunc ‘cos’) : This mathematical function 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)`.

Parameters :

array : [array_like] elements are in radians.

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

Code #1 : Working

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

Output :

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

cosine Hyperbolic values :
[  1.           2.50917848   1.60028686  11.59195328]
```

Code #2 : Graphical representation

 `# Python program showing Graphical ` `# representation of cosh() function ` `import` `numpy as np ` `import` `matplotlib.pyplot as plt ` ` `  `in_array ``=` `np.linspace(``-``np.pi, np.pi, ``12``) ` `out_array ``=` `np.cosh(in_array) ` ` `  `print``(``"in_array : "``, in_array) ` `print``(``"\nout_array : "``, out_array) ` ` `  `# red for numpy.cosh() ` `plt.plot(in_array, out_array, color ``=` `'red'``, marker ``=` `"o"``) ` `plt.title(``"numpy.cosh()"``) ` `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 :  [ 11.59195328   6.57373932   3.75927846   2.20506252   1.39006258
1.04106146   1.04106146   1.39006258   2.20506252   3.75927846
6.57373932  11.59195328]```

My Personal Notes arrow_drop_up

Aspire to Inspire before I expire

If you like GeeksforGeeks and would like to contribute, you can also write an article using contribute.geeksforgeeks.org or mail your article to contribute@geeksforgeeks.org. See your article appearing on the GeeksforGeeks main page and help other Geeks.

Please Improve this article if you find anything incorrect by clicking on the "Improve Article" button below.

Article Tags :

Be the First to upvote.

Please write to us at contribute@geeksforgeeks.org to report any issue with the above content.