numpy
  1. numpy-degrees

degrees() - ( NumPy Functions )

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Syntax

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

Example

import numpy as np

# Convert radians to degrees
rads = np.array([0, np.pi/2, np.pi, 3*np.pi/2])
degrees = np.degrees(rads)

print(degrees)

Output:

[   0.   90.  180.  270.]

Explanation

The numpy.degrees() function is used to convert angles from radians to degrees. It takes a single argument x which is an array of angles in radians and returns an array of angles in degrees. The out parameter can be used to specify an output array to store the results.

Use

The numpy.degrees() function is commonly used in scientific and mathematical calculations that involve angles. It is especially useful in applications that involve trigonometry, such as physics and engineering.

Important Points

  • numpy.degrees() is used to convert angles from radians to degrees
  • It takes an array of angles in radians as input and returns an array of angles in degrees
  • The out parameter can be used to specify an output array to store the results

Summary

In conclusion, the numpy.degrees() function is used to convert angles from radians to degrees. It takes an array of angles in radians as input and returns an array of angles in degrees. This function is commonly used in scientific and mathematical calculations that involve angles, especially in applications that involve trigonometry.

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