# NumPy - arccosh() function

The NumPy arccosh() function is used to calculate inverse hyperbolic cosine of a value. The inverse hyperbolic cosine of x is defined as: ### Syntax

```numpy.arccosh(a, out=None)
```

### Parameters

 `a` `Required. `Specify array (array_like) containing elements, of which the inverse hyperbolic cosine is calculated. Absolute value of element of the array should be greater than equal to 1. `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 cosine of each element in a.

### Example:

In the example below, numpy arccosh() function is used to calculate the inverse hyperbolic cosine of each element present in array Arr.

```import numpy as np

Arr = np.array([1, 2, 3, 4])

print("The inverse hyperbolic cosine of values:")
print(np.arccosh(Arr))
```

The output of the above code will be:

```The inverse hyperbolic cosine of values:
[ 0.          1.3169579   1.76274717  2.06343707]
```

❮ NumPy - Functions

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