Python NumPy cosh() Function

NumPy cosh() Function:

To calculate the hyperbolic cosine of a value, use the cosh() function of NumPy module. The hyperbolic cosine of x is calculated as follows:

Here e= Euler’s number

Syntax:

numpy.cosh(x, out=None)

Parameters

x: This is required. It is an array (array-like) having elements for which the hyperbolic cosine(cosh) value is calculated.

out: This is optional. It is the location where the result will be saved. It must have a shape that the inputs broadcast to if it is provided. If None or not given, a newly allocated array is returned.

Return Value:

The hyperbolic cosine(cosh) value of each element of x is returned.

NumPy cosh() Function in Python

Example1

Approach:

Import numpy module using the import keyword.
Pass some random list as an argument to the array() function to create an array.
Store it in a variable.
Print the above-given array.
Pass the above-given array as an argument to the cosh() function of the numpy module to get the hyperbolic cosine values of given array elements.
Store it in another variable.
Print the hyperbolic cosine values of given array elements.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Pass some random list as an argument to the array() function to
# create an array. 
# Store it in a variable.
gvn_arry = np.array([20, 5, 8, 30, 12])           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the cosh() function of the 
# numpy module to get the hyperbolic cosine values of 
# given array elements
# Store it in another variable.
hyprblic_cos_vals = np.cosh(gvn_arry)
# Print the hyperbolic cosine values of given array elements
print("The hyperbolic cosine values of given array elements:")
print(hyprblic_cos_vals)

Output:

The above given array is:
[20 5 8 30 12]
The hyperbolic cosine values of given array elements:
[2.42582598e+08 7.42099485e+01 1.49047916e+03 5.34323729e+12
8.13773957e+04]

Example2

Approach:

Import numpy module using the import keyword.
Import math module using the import keyword.
Give the array as static input and store it in a variable.
Here we get pi values from math.pi of the math module.
Pass the above-given array as an argument to the cosh() function of the numpy module to get the hyperbolic cosine values of given array elements.
Store it in another variable.
Print the hyperbolic cosine values of given array elements.
The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Import math module using the import keyword
import math
# Give the array as static input and store it in a variable 
# Here we get pi values from math.pi of math module
gvn_arry = [math.pi / 4, 0, np.pi / 5, np.pi, math.pi / 2]           
# Print the above given array.
print("The above given array is:")
print(gvn_arry)
# Pass the above given array as an argument to the cosh() function of the 
# numpy module to get the hyperbolic cosine values of the
# given array elements
# Store it in another variable.
hyprblic_cos_vals = np.cosh(gvn_arry)
# Print the hyperbolic cosine values of given array elements
print("The hyperbolic cosine values of given array elements:")
print(hyprblic_cos_vals)

Output:

The above given array is:
[0.7853981633974483, 0, 0.6283185307179586, 3.141592653589793, 1.5707963267948966]
The hyperbolic cosine values of given array elements:
[ 1.32460909 1. 1.20397209 11.59195328 2.50917848]

NumPy cosh() Function in Python

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