Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays and designed to work with the broader SciPy stack. 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. The Matplotlib.axes.Axes.add_patch() method in the 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 are various examples that depict how to add a patch in a plot in Python:
Example 1:
Python3
# import modulesimport numpy as np import matplotlib.pyplot as plt # adjust figure and assign coordinatesy, x = np.mgrid[:5, 1:6] poly_coords = [(25, 75), (25, 75), (25, 75), (25, 75)]fig, ax = plt.subplots() # depict illustrationcells = ax.plot(x, y, x + y) ax.add_patch(plt.Polygon(poly_coords)) plt.show() |
Output:
Example 2:
Python3
# import modulesimport matplotlib.path as mpathimport matplotlib.patches as mpatchesimport matplotlib.pyplot as plt Path = mpath.Path # adjust figure and assign coordinatesfig, ax = plt.subplots()pp = mpatches.PathPatch(Path([(0, 0), (10, 5), (10, 10), (20, 10)], [Path.MOVETO, Path.CURVE3, Path.CURVE3, Path.CLOSEPOLY]), transform=ax.transData) # depict illustrationax.add_patch(pp)plt.show() |
Output:
Example 3:
Python3
# import modulesimport matplotlib.path as mpathimport matplotlib.patches as mpatchesimport matplotlib.pyplot as plt # adjust figure and assign coordinatesfig = plt.figure()ax = fig.add_subplot(1, 1, 1) pp1 = plt.Rectangle((0.2, 0.75), 0.4, 0.15) pp2 = plt.Circle((0.7, 0.2), 0.15) pp3 = plt.Polygon([[0.15, 0.15], [0.35, 0.4], [0.2, 0.6]]) # depict illustrationsax.add_patch(pp1)ax.add_patch(pp2)ax.add_patch(pp3) |
Output:
Example 4:
Python3
# import modulefrom matplotlib.patches import PathPatchfrom matplotlib.path import Pathimport matplotlib.pyplot as pltimport numpy as np # assign coordinatescoord = [(0, 20), (20, 20), (20, 20), (20, 20), (10, 10), (10, 10), (5, 5), (15, 5), (0, 0)] instn = [Path.MOVETO, Path.LINETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY, Path.MOVETO, Path.LINETO, Path.LINETO, Path.CLOSEPOLY] # adjust figurecoord = np.array(coord, float)path = Path(coord, instn)pathpatch = PathPatch(path)fig, ax = plt.subplots()ax.add_patch(pathpatch) # depict illustrationax.autoscale_view()plt.show() |
Output:
