NumPy - cosh() function
The NumPy cosh() function is used to calculate hyperbolic cosine of a value. The hyperbolic cosine of x is defined as:
where e is an Euler's number.
Syntax
numpy.cosh(a, out=None)
Parameters
a |
Required. Specify array (array_like) containing elements, of which the hyperbolic cosine is calculated. |
out |
Optional. Specify a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. |
Return Value
Returns the hyperbolic cosine of each element in a.
Example:
In the example below, numpy cosh() function is used to calculate the hyperbolic cosine of each element present in array Arr.
import numpy as np
Arr = np.array([1, 2, 3, 4])
print("The hyperbolic cosine of values:")
print(np.cosh(Arr))
The output of the above code will be:
The hyperbolic cosine of values: [ 1.54308063 3.76219569 10.067662 27.30823284]
❮ NumPy - Functions
