Open In App

Matplotlib.axes.Axes.add_patch() in Python

Improve
Improve
Like Article
Like
Save
Share
Report

Matplotlib is a library in Python and it is numerical – mathematical extension for NumPy library. The Axes Class contains most of the figure elements: Axis, Tick, Line2D, Text, Polygon, etc., and sets the coordinate system. And the instances of Axes supports callbacks through a callbacks attribute.

matplotlib.axes.Axes.add_patch() Function

The Axes.add_patch() function in axes module of matplotlib library is used to add a Patch to the axes’ patches; return the patch.

Syntax: Axes.add_patch(self, p)

Parameters: This method accepts the following parameters.

  • line: This parameter is the Patch to the axes’ patches.

Return value: This method returns the Patch .

Below examples illustrate the matplotlib.axes.Axes.add_patch() function in matplotlib.axes:

Example 1:




# Implementation of matplotlib function
import numpy as np
import matplotlib.pyplot as plt
  
y, x = np.mgrid[:5, 1:6]
poly_coords = [
    (0.25, 2.75), (3.25, 2.75),
    (2.25, 0.75), (0.25, 0.75)
]
fig, ax = plt.subplots()
  
cells = ax.plot(x, y, x + y, color ='green')
ax.add_patch(
    plt.Polygon(poly_coords, color ='forestgreen',
                alpha = 0.5)
    )
ax.margins(x = 0.1, y = 0.05)
ax.set_aspect('equal')
  
fig.suptitle('matplotlib.axes.Axes.add_patch() \
function Example\n\n', fontweight ="bold")
plt.show()


Output:

Example 2:




# Implementation of matplotlib function
import matplotlib.path as mpath
import matplotlib.patches as mpatches
import matplotlib.pyplot as plt
  
Path = mpath.Path
  
fig, ax = plt.subplots()
pp1 = mpatches.PathPatch(
    Path([(0, 0), (1, 0), (1, 1), (0, 0)],
         [Path.MOVETO, Path.CURVE3, 
          Path.CURVE3, Path.CLOSEPOLY]),
    fc ="none", transform = ax.transData)
  
ax.add_patch(pp1)
ax.plot([0.75], [0.25], "go-")
  
fig.suptitle('matplotlib.axes.Axes.add_patch() \
function Example\n\n', fontweight ="bold")
plt.show()


Output:



Last Updated : 21 Apr, 2020
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads