Python NumPy arccosh() Function

Python NumPy arccosh() Function

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NumPy arccosh() Function:

The arccosh() function of the NumPy module computes the inverse hyperbolic cosine of the array elements.

The inverse hyperbolic cosine of x is calculated as follows:

Inverse Hyperbolic Cosine Formula

Syntax:

numpy.arccosh(array, out=None)

Parameters

array: This is required. The array items for which the inverse hyperbolic cosine values are to be computed. The absolute value of each array item should be greater than 1.
out: This is optional.The output array’s shape. It is the location where the result will be stored. 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 inverse hyperbolic cosine value of each element of the given array is returned.

NumPy arccosh() Function in Python

Example#1: Using Built-in Functions (Static Input)

Approach:

  • Import numpy module using the import keyword.
  • Give the array as static input using the array() function of the numpy module by passing some random list of numbers as an argument to it.
  • Store it in a variable.
  • Calculate the inverse hyperbolic cosine values of the given array using the arccosh() function of the Numpy module and store it in another variable.
  • Print the inverse hyperbolic cosine values of the given array.
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Give the array as static input using the array() function by passing some 
# random list of numbers as an argument to it.
# Store it in another variable
gvn_arry = np.array([2, 5, 6, 1])
# Calculate the inverse hyperbolic cosine values of the given array 
# using the arccosh() function of the numpy module and store it in another variable
rslt= np.arccosh(gvn_arry)
# Print the inverse hyperbolic cosine values of the given array 
print("The inverse hyperbolic cosine values of the given array = ")
print(rslt)

Output:

The inverse hyperbolic cosine values of the given array = 
[1.3169579 2.29243167 2.47788873 0. ]

Example#2: Using Built-in Functions (User Input)

Approach:

  • Import numpy module using the import keyword.
  • Give the list as user input using the list(),map(),split(),int functions and store it in a variable.
  • Pass the above list as an argument to the array() function to get an array.
  • Store it in another variable.
  • Calculate the inverse hyperbolic cosine values of the given array using the arccosh() function of the Numpy module and store it in another variable.
  • Print the inverse hyperbolic cosine values of the given array.
  • The Exit of the Program.

Below is the implementation:

# Import numpy module using the import keyword
import numpy as np
# Give the list as user input using the list(),map(),split(),int functions
# and store it in a variable.
gvn_lst = list(map(int, input(
   'Enter some random List Elements separated by spaces = ').split()))
# Pass the above list as an argument to the array() function to get an array.
# Store it in another variable
gvn_arry = np.array(gvn_lst)
# Calculate the inverse hyperbolic cosine values of the given array 
# using the arccosh() function of the numpy module and store it in another variable
rslt= np.arccosh(gvn_arry)
# Print the inverse hyperbolic cosine values of the given array 
print("The inverse hyperbolic cosine values of the given array = ")
print(rslt)

Output:

Enter some random List Elements separated by spaces = 10 45 6 60
The inverse hyperbolic cosine values of the given array = 
[2.99322285 4.49968619 2.47788873 4.78742229]