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Plotting polar curves in Python

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  • Last Updated : 22 Jun, 2020
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A point in polar co-ordinates is represented as (r, theta). Here, r is its distance from the origin and theta is the angle at which r has to be measured from origin. Any mathematical function in the Cartesian coordinate system can also be plotted using the polar coordinates. 

Modules required

  • Matplotlib : Matplotlib is a comprehensive Python library for creating static and interactive plots and visualisations. To install this module type the below command in the terminal.
pip install matplotlib
  • Numpy : Numpy is the core library for array computing in Python. To install this module type the below command in the terminal.
pip install numpy
  • math : math is a built-in module used for performing various mathematical tasks. 

The matplotlib.pyplot module contains a function polar(), which can be used for plotting curves in polar coordinates.

Syntax : matplotlib.pyplot.polar(theta, r, **kwargs)

Parameters :

  • theta – angle
  • r – distance

Approach :

In each of the examples below, 

  • A list of radian values is created. These values cover the domain of the respective function.
  • For each radian value, theta, a corresponding value of r is calculated according to a specific formula for each curve.

1. Circle : A circle is a shape consisting of all points in a plane that are a given distance(radius) from a given point, the centre. Hence, r is a constant value equal to the radius.

Example :

Python3




import numpy as np
import matplotlib.pyplot as plt
  
  
# setting the axes projection as polar
plt.axes(projection = 'polar')
  
# setting the radius
r = 2
  
# creating an array containing the
# radian values
rads = np.arange(0, (2 * np.pi), 0.01)
  
# plotting the circle
for rad in rads:
    plt.polar(rad, r, 'g.')
  
# display the Polar plot
plt.show()

Output :

2. Ellipse : An ellipse is the locus of a point moving in a plane such that the sum of its distances from two other points (the foci) is constant. Here, r is defined as :

r\ =\ \frac{a\ *\ b}{\sqrt{(asin\theta)^2\ +\ (bcos\theta)^2}}

Where,

  • a = length of semi major axis
  • b = length of semi minor axis

Example :

Python3




import numpy as np
import matplotlib.pyplot as plt
import math
  
  
# setting the axes
# projection as polar
plt.axes(projection = 'polar')
  
# setting the values of
# semi-major and
# semi-minor axes
a = 4
b = 3
  
# creating an array
# containing the radian values
rads = np.arange(0, (2 * np.pi), 0.01)
  
# plotting the ellipse
for rad in rads:
    r = (a*b)/math.sqrt((a*np.sin(rad))**2 + (b*np.cos(rad))**2)
    plt.polar(rad, r, 'g.')
  
# display the polar plot
plt.show()

Output :

3. Cardioid : A cardioid is the locus of a point on the circumference of a circle as it rolls around another identical circle. Here, r is defined as :

r=a\ +\ acos(\theta)

Where, a = length of axis of cardioid

Example  :

Python3




import numpy as np
import matplotlib.pyplot as plt
import math
  
  
# setting the axes
# projection as polar
plt.axes(projection = 'polar')
  
# setting the length of 
# axis of cardioid
a=4
  
# creating an array
# containing the radian values
rads = np.arange(0, (2 * np.pi), 0.01)
   
# plotting the cardioid
for rad in rads:
    r = a + (a*np.cos(rad)) 
    plt.polar(rad,r,'g.'
  
# display the polar plot
plt.show()

Output :

4. Archimedean spiral : An Archimedean spiral is the locus of a point moving uniformly on a straight line, which itself is turning uniformly about one of its end points. Here, r is defined as :

r=\theta

Example:

Python3




import numpy as np
import matplotlib.pyplot as plt
  
  
# setting the axes
# projection as polar
plt.axes(projection = 'polar')
  
# creating an array
# containing the radian values
rads = np.arange(0, 2 * np.pi, 0.001
  
# plotting the spiral
for rad in rads:
    r = rad
    plt.polar(rad, r, 'g.')
      
# display the polar plot
plt.show()

Output :

5. Rhodonea : A Rhodonea or Rose curve is a rose-shaped sinusoid plotted in polar coordinates. Here, r is defined as :

r=a\cos(n\theta)

Where,

  • a = length of petals
  • n = number of petals

Example:

Python3




import numpy as np
import matplotlib.pyplot as plt
  
  
# setting the axes
# projection as polar
plt.axes(projection='polar')
  
# setting the length
# and number of petals
a = 1
n = 6
  
# creating an array
# containing the radian values
rads = np.arange(0, 2 * np.pi, 0.001
  
# plotting the rose
for rad in rads:
    r = a * np.cos(n*rad)
    plt.polar(rad, r, 'g.')
   
# display the polar plot
plt.show()

Output :


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