NumPy: numpy.radians

Introduction

This page introduces the numpy.radians function in NumPy, which is used for converting angles from degrees to radians.

numpy.radians Function

Syntax

The syntax for the numpy.radians function is as follows:

numpy.radians(x, out=None, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Example

Consider the following example:

import numpy as np

# Creating an array of angles in degrees
degrees_array = np.array([0, 30, 45, 60, 90])

# Converting angles to radians
radians_array = np.radians(degrees_array)

Output

After executing the above code, radians_array will contain the corresponding angles converted from degrees to radians.

Explanation

The numpy.radians function converts angles from degrees to radians element-wise. It is particularly useful when working with trigonometric functions that expect angles in radians.

Use

• Trigonometric Computations: Use numpy.radians when working with trigonometric functions (e.g., numpy.sin, numpy.cos) that operate on angles in radians.
• Mathematical Operations: When performing mathematical operations involving angles, it's often more convenient to work with radians.

Important Points

• The input angles should be provided in degrees.
• The function returns an array of the same shape as the input array, where each element is the corresponding angle converted to radians.

Summary

The numpy.radians function simplifies the process of converting angles from degrees to radians in NumPy. When working with trigonometric functions or mathematical operations involving angles, using numpy.radians ensures consistency and facilitates computations in the radians unit, a common requirement in mathematical and scientific applications.