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# What is the degrees function in Numpy?

Rukhshan Haroon

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The degrees function is used to convert radian values to degrees. It comes as a part of Numpy, which is a library of the high-level coding language Python.

## Syntax

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


A universal function (ufunc) is a function that operates on ndarrays in an element-by-element fashion. The degrees method is a universal function.

## Parameters

The degrees function accepts the following arguments:

• x - array-like structure on the contents of the degrees function will be applied. The input array will be in radians.

• out (optional) - the function’s output is stored at this location.

• where (optional) - if set as True, a universal function is calculated at this position.

• casting (optional) - enables the user to decide how the data will be cast. If set as same_kind, safe casting will take place.

• order (optional) - determines the memory layout of the output. For example, if set as K, the function reads data in the order it is written in memory.

• dtype(optional) - the data type of the array.

• subok(optional) - to pass subclasses, subokmust be set as True.

## Return value

The degrees function returns the corresponding degree values of type float in a ndarray. If the optional parameter out is provided, it returns a reference.

If x is a scalar, the return value is also a scalar.

## Example

The example below demonstrates how to apply the degrees function on an array containing four radian values.

import numpyrad = [1, 1.5, 2*numpy.pi, 2.5]deg = numpy.degrees(rad)print(deg)

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numpy
python

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Rukhshan Haroon 