# 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

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