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Both of the following numpy functions appear to do the same thing.
What is the difference between the two? If they are identical, why have two different function names?
Similarly for rad2deg and degrees.
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The deg2rad () function of the NumPy module converts angles from degrees to radians. array: These are the angles for which the degree values must be computed. out: It represents the output array’s shape (rows, cols).
The docs do say that deg2rad was introduced in version 1.13.0 and that the two are equivalent. Yes 1.3.0. Apologies for the typo. Both functions do exactly the same, but deg2rad is a more descriptive name. Both functions do exactly the same. As I can read inside the code, the function radians calls the function deg2rad.
This is a scalar if x is a scalar. Convert angles from radians to degrees. Remove large jumps in angle by wrapping. New in version 1.3.0. deg2rad (x) is x * pi / 180.
Degrees are sometimes unreliable because they are based on the Sun’s rotation whereas Radians make use of the equations and therefore seem more reliable. The measurement of plane angles whose full rotation is said to be 360 o is known as degrees.
Both functions do exactly the same, but deg2rad is a more descriptive name.
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Both functions do exactly the same. As I can read inside the code, the function radians calls the function deg2rad. The same is valid for degrees and rad2deg.
So both are doing the same calculation on the same way.
In my view, degrees and radians are still present for backward compatibility.
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