How to Draw a Circle Using Matplotlib in Python?
A Circle is a mathematical figure formed by joining all points lying on the same plane and are at equal distance from a given point. We can plot a circle in python using Matplotlib. There are multiple ways to plot a Circle in python using Matplotlib.
Method 1: Using matplotlib.patches.Circle() function.
Matplotlib has a special function matplotlib.patches.Circle() in order to plot circles.
Syntax: class matplotlib.patches.Circle(xy, radius=5, **kwargs)
Example 1: Plotting a colored Circle using matplotlib.patches.Circle()
Python3
# Demonstrating use of matplotlib.patches.Circle() functiion# to plot a colored Circle import matplotlib.pyplot as plt figure, axes = plt.subplots()Drawing_colored_circle = plt.Circle(( 0.6 , 0.6 ), 0.2 ) axes.set_aspect( 1 )axes.add_artist( Drawing_colored_circle )plt.title( 'Colored Circle' )plt.show() |
Output:
Example 2: Plotting an un-colored Circle using matplotlib.patches.Circle()
Python3
# Demonstrating use of matplotlib.patches.Circle() functiion# to plot an un-colored Circle import matplotlib.pyplot as plt figure, axes = plt.subplots()Drawing_uncolored_circle = plt.Circle( (0.6, 0.6 ), 0.3 , fill = False ) axes.set_aspect( 1 )axes.add_artist( Drawing_uncolored_circle )plt.title( 'Circle' )plt.show() |
Output:
Method 2: Using Circle Equation
Example 1: Plotting a Circle using Parametric equation of a circle
Python3
# Program to plot a Circle# using Parametric equation of a Circle import numpy as npimport matplotlib.pyplot as plt theta = np.linspace( 0 , 2 * np.pi , 150 ) radius = 0.4 a = radius * np.cos( theta )b = radius * np.sin( theta ) figure, axes = plt.subplots( 1 ) axes.plot( a, b )axes.set_aspect( 1 ) plt.title( 'Parametric Equation Circle' )plt.show() |
Output:
Example 2: Using Center-Radius form of a circle equation
Python3
# Program to plot a Circle# using Center-Radius form of circle equation import numpy as npimport matplotlib.pyplot as plt x = np.linspace( -0.7 , 0.7 , 150 )y = np.linspace( -0.7 , 0.7 , 150 ) a, b = np.meshgrid( x , y ) C = a ** 2 + b ** 2 - 0.2 figure, axes = plt.subplots() axes.contour( a , b , C , [0] )axes.set_aspect( 1 ) plt.title( 'Center-Radius form Circle' )plt.show() |
Output:
Method 3: Using the Scatter Plot of points
Example:
Python3
# Program to plot a Circle# using Scatter plot of points import matplotlib.pyplot as plt plt.scatter( 0 , 0 , s = 7000 )plt.title( 'Circle' ) plt.xlim( -0.85 , 0.85 )plt.ylim( -0.95 , 0.95 ) plt.title( "Scatter plot of points Circle" )plt.show() |
Output:
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