In NumPy, a high-level programming language Python library, we can use the ** sin** function to calculate a given angle’s

`sin`

.The `numpy`

library must be imported to use the `sin`

function:

```
import numpy as np
```

```
np.sin(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'sin'>
```

A

universal function(ufunc) is a function that operates on ndarrays in an element-by-element fashion. The`sin`

method is a universal function.

The `sin`

function only accepts the following arguments:

- array-like structure on the contents of which the`x`

`sin`

function will be applied.(optional) - the function’s output is stored at this location.`out`

(optional) - if set as True, a universal function is calculated at this position.`where`

(optional) - enables the user to decide how the data will be cast. If set as`casting`

*same_kind*, safe casting will take place.(optional) - determines the memory layout of the output. For example, if set as K, the function reads data in the order it is written in memory.`order`

(optional) - the data type of the array.`dtype`

(optional) - to pass subclasses,`subok`

`subok`

must be set as True.

Returns a ndarray containing the sin of the value(s) passed as arguments.

If

`x`

is scalar, the return value is also scalar.

The following example demonstrates how we may implement the `sin`

function on an array of angle values.

import numpy as nparr = np.sin([360, 270, 180, 90, 0])print(arr)

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