NumPy - arcsinh() function
The NumPy arcsinh() function is used to calculate inverse hyperbolic sine of a value. The inverse hyperbolic sine of x is defined as:
Syntax
numpy.arcsinh(a, out=None)
Parameters
a |
Required. Specify array (array_like) containing elements, of which the inverse hyperbolic sine 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 inverse hyperbolic sine of each element in a.
Example:
In the example below, numpy arcsinh() function is used to calculate the inverse hyperbolic sine of each element present in array Arr.
import numpy as np
Arr = np.array([1, 2, 3, 4])
print("The inverse hyperbolic sine of values:")
print(np.arcsinh(Arr))
The output of the above code will be:
The inverse hyperbolic sine of values: [ 0.88137359 1.44363548 1.81844646 2.09471255]
❮ NumPy - Functions
