Python math.sinh() Method

The Python math.sinh() method returns the hyperbolic sine of a given number.

The hyperbolic sine method, denoted as sinh(x), is a mathematical method that calculates the value of the sine of a complex number or a real number x. It returns real values that grow exponentially as x increases.

Mathematically, the hyperbolic sine method is defined as

sinh(x) = (ex - e-x)/ 2

Where, e is the base of the natural logarithm, approximately equal to 2.71828. This method is odd, meaning that sinh(-x) = -sinh(X).

Syntax

Following is the basic syntax of the Python math.sinh() method

math.sinh(x)

Parameters

This method accepts a number (all real number) for which you want to find the hyperbolic sine as a parameter.

Return Value

The method returns the hyperbolic sine of the given number.

Example 1

In the following example, we calculate the hyperbolic sine of a positive number using the math.sinh() method

import math
x = 2.0
result = math.sinh(x)
print(result) 

Output

The output obtained is as follows

3.626860407847019

Example 2

If we pass a fraction value to the math.sinh() method, it returns a real number

import math
from fractions import Fraction
x = Fraction(5, -9)
result = math.sinh(x)
print(result) 

Output

Following is the output of the above code

-0.5845777889480125

Example 3

In here, we are retrieving the hyperbolic sine of a negative number using the math.sinh() method

import math
x = -0.5
result = math.sinh(x)
print(result)  

Output

We get the output as shown below

-0.5210953054937474

Example 4

In this example, we use a loop to calculate the hyperbolic sine of multiple values using the math.sinh() method. The loop iterates through each value in the values list, calculates the hyperbolic sine, and prints the result for each value

import math
values = [1.0, 2.0, 3.0]
for x in values:
   result = math.sinh(x)
   print("sinh({}) = {}".format(x, result))

Output

The result produced is as shown below

sinh(1.0) = 1.1752011936438014
sinh(2.0) = 3.626860407847019
sinh(3.0) = 10.017874927409903