NumPy: numpy.deg2rad
Introduction
This page explores the usage of the numpy.deg2rad
function in NumPy, which is used for converting angles from degrees to radians.
numpy.deg2rad
Function
Syntax
The syntax for the numpy.deg2rad
function is as follows:
numpy.deg2rad(x, out=None, *, 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
angles_deg = np.array([0, 45, 90, 180, 360])
# Converting angles to radians using numpy.deg2rad
angles_rad = np.deg2rad(angles_deg)
Output
After executing the above code, angles_rad
will contain the corresponding angles in radians.
Explanation
The numpy.deg2rad
function converts angles from degrees to radians. It takes an array of angles in degrees as input and returns an array with the same shape, where each element is the corresponding angle in radians.
Use
- Trigonometric Calculations: Use
numpy.deg2rad
when working with trigonometric functions in NumPy, which typically use angles in radians. - Mathematical Transformations: Convert angles from degrees to radians for mathematical operations and transformations.
Important Points
- The input array should contain angles in degrees.
- The result is an array of the same shape as the input array, with angles converted to radians.
Summary
The numpy.deg2rad
function is a convenient tool for converting angles from degrees to radians, providing a straightforward way to work with trigonometric functions and perform mathematical transformations. Whether you're dealing with geometric calculations or scientific computations, incorporating numpy.deg2rad
into your NumPy workflows facilitates the seamless conversion of angle units.