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Onyejiaku Theophilus Chidalu

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In Python, the ** numpy.arctan2() function** is used to return the element-wise arc tangent of $\frac{x1}{x2}$, choosing the quadrant correctly.

```
numpy.arctan2(x1, x2, /, out=None, *, where=True)
```

This function takes the following parameter values:

: This represents the y-coordinates.`x1`

: This represents the x-coordinates.`x2`

: This represents a location where the result is stored. This is optional.`out`

: This is the condition over which the input is being broadcast. At a given location where this condition is`where`

`True`

, the resulting array is set to the`ufunc`

result. Otherwise, the resulting array retains its original value. This is optioanal.: This represents other keyword arguments.`**kwargs`

This function returns an array of angles in radians. The range of the values is `[-pi, pi]`

.

import numpy as np# creating an array representin the coordinatesx1 = np.array([4, 5])x2 = np.array([3, 12])# taking the arctan2 element-wisemyarray = np.arctan2(x1, x2)print(myarray)

Implementing the numpy.arctan2() function

**Line 1**: We import the`numpy`

module.**Line 4–5**: We create arrays,`x1`

and`x2`

, representing the x and y coordinates, respectively.**Line 8**: We implement the`numpy.arctan2()`

function on the arrays. The result is assigned to a variable,`myarray`

.**Line 10**: We print the variable`myarray`

.

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Onyejiaku Theophilus Chidalu

Grokking Modern System Design Interview for Engineers & Managers

Ace your System Design Interview and take your career to the next level. Learn to handle the design of applications like Netflix, Quora, Facebook, Uber, and many more in a 45-min interview. Learn the RESHADED framework for architecting web-scale applications by determining requirements, constraints, and assumptions before diving into a step-by-step design process.

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