What is sin in Numpy?

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

Syntax

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.

Arguments

The sin function only accepts the following arguments:

• x - array-like structure on the contents of which the sin function will be applied.
• out (optional) - the function’s output is stored at this location.
• where (optional) - if set as True, a universal function is calculated at this position.
• casting (optional) - enables the user to decide how the data will be cast. If set as same_kind, safe casting will take place.
• order (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.
• dtype (optional) - the data type of the array.
• subok (optional) - to pass subclasses, subok must be set as True.

Return value

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

If x is scalar, the return value is also scalar.

Example

The following example demonstrates how we may implement the sin function on an array of angle values.