NumPy arcsinh() Function

Numpy inverse sine – Python NumPy arcsinh() Function

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NumPy arcsinh() Function:

Numpy inverse sine: The NumPy arcsinh() function is used to compute the hyperbolic inverse sine of the array elements.

The inverse hyperbolic sine of x is calculated as follows:

Formula for Inverse Hyperbolic sin of x

Syntax:

numpy.arcsinh(array, out=None)

Parameters

array: The array items (in radians) for which the hyperbolic inverse sine values are to be computed.
out: This is optional.The output array’s shape.

Return value

The result is an array of hyperbolic inverse sine values.

NumPy arcsinh() 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 by passing some random list of numbers as an argument to it.
  • Store it in a variable.
  • Calculate the inverse hyperbolic sine of values of the given array using the arcsinh() function and store it in another variable.
  • Print the inverse hyperbolic sine of 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 sine of values of the given array 
# using the arcsinh() function and store it in another variable
rslt= np.arcsinh(gvn_arry)
# Print the inverse hyperbolic sine of values of the given array 
print("The inverse hyperbolic sine values of the given array = ")
print(rslt)

Output:

The inverse hyperbolic sine values of the given array = 
[1.44363548 2.31243834 2.49177985 0.88137359]

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 sine of values of the given array using the arcsinh() function and store it in another variable.
  • Print the inverse hyperbolic sine of 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 sine of values of the given array 
# using the arcsinh() function and store it in another variable
rslt= np.arcsinh(gvn_arry)
# Print the inverse hyperbolic sine of values of the given array 
print("The inverse hyperbolic sine values of the given array = ")
print(rslt)

Output:

Enter some random List Elements separated by spaces = 3 7 8 1
The inverse hyperbolic sine values of the given array = 
[1.81844646 2.64412076 2.77647228 0.88137359]

Example#3: Using Built-in Functions (Static Input)

Approach:

  • Import numpy module using the import keyword.
  • Import math module using the import keyword.
  • Give the array as static input using the array() function by passing some random list of numbers (get pi value using the math.pi) as an argument to it.
  • Store it in a variable.
  • Print the given array.
  • Calculate the inverse hyperbolic sine of values of the given array using the arcsinh() function and store it in another variable.
  • Print the inverse hyperbolic sine of 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  
# Import math module using the import keyword
import math  
# Give the array as static input using the array() function by passing some 
# random list of elements(get pi value using the math.pi) as an argument to it.
# Store it in a variable
gvn_arry = np.array([0, math.pi/5, 4*math.pi/2, math.pi/8])  
# Print the given array 
print("The given Array is:",gvn_arry)  
# Calculate the inverse hyperbolic sine of values of the given array 
# using the arcsinh() function and store it in another variable
rslt = np.arcsinh(gvn_arry)  
# Print the inverse hyperbolic sine of values of the given array 
print("The inverse hyperbolic sine values of the given array = ")
print(rslt)

Output:

The given Array is: [0. 0.62831853 6.28318531 0.39269908]
The inverse hyperbolic sine values of the given array = 
[0. 0.5929557 2.5372975 0.38324809]