Python:NumPy .rad2deg()

In Numpy, the .rad2deg() function converts angles from radians to degrees.

This is useful when working with trigonometric calculations or geometrical operations where angles need to be expressed in degrees.

Syntax

numpy.rad2deg(x, out=None, where=True, casting='same_kind', order='K', dtype=None, subok=True)

• x: Input array (or scalar) of angles in radians.
• out(Optional): A location to store the output. If not provided, a new array is returned.
• where(Optional): Condition to specify which elements are converted. Default is True, meaning all elements are converted.

Note: There are additional parameters that are rarely used and control advanced memory and computation behaviors.

Example 1

Here is an example that demonstrates converting an array of common radian values to their equivalent degree values:

import numpy as np

# Example angles in radians
angle_radians = np.array([0, np.pi / 6, np.pi / 4, np.pi / 2, np.pi])

# Convert to degrees
angle_degrees = np.rad2deg(angle_radians)
print(angle_degrees)

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The output of the above example will be as follows:

[  0.  30.  45.  90. 180.]

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Example 2

.rad2deg() can handle negative radian values as well by converting them to their equivalent negative degree values. Here’s an example:

import numpy as np

# Negative radians
angle_radians = np.array([-np.pi / 2, -np.pi, -3 * np.pi / 4])

# Convert to degrees
angle_degrees = np.rad2deg(angle_radians)
print(angle_degrees)

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The output of the above example will be as follows:

[ -90. -180. -135.]

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Example 3

Additionally, the where parameter can used to selectively convert only positive radian values to degrees, while leaving negative values unchanged:

import numpy as np

# Mixed radians
angles = np.array([0, np.pi / 6, -np.pi / 4, -np.pi / 2, np.pi])

# Convert only positive angles
positive_degrees = np.where(angles > 0, np.rad2deg(angles), 0)

print(positive_degrees)

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The output of the above code will be as follows:

[  0.  30.   0.   0. 180.]

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Codebyte Example

Run the following codebyte example to understand how the .rad2deg() function works:

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