# Trigonometric and Angular functions in Python

In this tutorial, we will learn about the different trigonometric and angular functions in Python. The Python programming language supports a wide variety of **built-in functions**.

The **math** module contains trigonometric and angular functions. This module provides access to mathematical functions but cannot be used with complex numbers. Before accessing these functions, we should import the math module. This helps us to access all the functions contained in the math module.

But, if we want to use only specific functions, then write **from math import sin, cos **which will include only the particular functions for use. Also, if you do not want to write the big module names every time with functions use aliasing **import** **math as m**. So, now **math.sin(x)** is the same as **m.sin(x)**. So, let’s discuss Trigonometric and Angular functions in detail in the Python programming language.

## Trigonometric functions in Python

**math.sin(x) :**Returns the sine of the value of x radians.**math.cos(x) :**Returns the cosine of the value of x radians.**math.tan(x) :**Returns the tangent of the value of x radians.**math.asin(x)****:**Returns the arc sine of the value of x in radians.**math.acos(x)****:**Returns the arc cosine of the value of x in radians.**math.atan(x)****:**Returns the arc tangent of the value of x in radians.**math.atan2(x)****:**Returns**atan(y/x)**in radians. The result lies between**-pi**to**pi**and the vector from the origin to the point**(x,y)**in the plane makes this angle with the positive x-axis. The signs of both inputs are known to atan2() so that it can calculate the correct quadrant for the angle. Example- The result of both**atan(1)**and**atan2(1,1)**is**pi/4**but the result of**atan2(-1,-1)**is**-3*pi/4**.**math.hypot(*coordinates):**It returns the Euclidean norm**sqrt(sum(x**2 for x in coordinates)).**This is the length of the vector from the origin to the given coordinates.

For a 2-D point**(x,y),**it is equivalent to computing the hypothesis**sqrt(x*x + y*y),**which is the length of the vector from the origin to the point**(x,y)**.

In version 3.8, added support is provided for n-dimensional points but initially, only 2-D cases were supported.**math.dist(p,q)**: Returns the Euclidean distance between the points p and q. These points are given as a sequence of coordinates but must have the same direction. This feature is new in version 3.8 and is roughly equivalent to:

sqrt(sum((px - qx) ** 2.0 for px, qx in zip(p, q)))

## Angular conversion functions in Python

**math.degrees(x)**: It converts the angle x, from radians to degrees and the argument must be in radians.**math.radians(x)**: It converts the angle x, from degrees to radians and the argument must be in degrees.

**The implementation of some of these functions is illustrated below with sample code:**

import math print("sin(3)", math.sin(3)) print("cos(3)", math.cos(3)) print("tan(3)", math.tan(3)) print("degrees(3)", math.degrees(3)) print("radians(60)", math.radians(3)) print("hypot(3,4)", math.hypot(3,4)) print("asin(1)", math.asin(1)) print("acos(1)", math.acos(1)) print("atan(1)", math.atan(1)) print("atan2(1,0)", math.atan2(1,0))

Output:

sin(3) 0.1411200080598672 cos(3) -0.9899924966004454 tan(3) -0.1425465430742778 degrees(3) 171.88733853924697 radians(60) 0.05235987755982989 hypot(3,4) 5.0 asin(1) 1.5707963267948966 acos(1) 0.0 atan(1) 0.7853981633974483 atan2(1,0) 1.5707963267948966

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