Matplotlib.patches.CirclePolygon class in Python

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.

matplotlib.patches.CirclePolygon

The matplotlib.patches.CirclePolygon class is used for polygon-approximation of a circle patch. It is used to make a circle at xy = (x, y) with a radius that has been provided. A regular polygon with resolution sides is approximated with this circle.

Syntax: class matplotlib.patches.CirclePolygon(xy, radius=5, resolution=20, **kwargs)

Parameters:

• xy: The origin coordinate of the circle to be drawn.
• radius: It’s an optional parameter that is used to set the radius of the circle.It defaults to 5 units.
• resolution: As the name suggest it is used to set the image resolution. It is optional and defaults to 20.

Below table provides with the optional valid kwargs ;

PROPERTY	DESCRIPTION
agg_filter	a filter function that takes a (m, n, 3) float array and a dpi value that returns a (m, n, 3) array
alpha	float or None
animated	bool
antialiased or aa	unknown
capstyle	{‘butt’, ’round’, ‘projecting’}
clip_box	Bbox
clip_on	bool
clip_path	[(Path, Transform)|Patch|None]
color	color or sequence of rgba tuples
contains	callable
edgecolor or ec or edgecolors	color or None or ‘auto’
facecolor or fc or facecolors	color or None
figure	figure
fill	bool
gid	str
hatch	{‘/’, ‘\’, ‘|’, ‘-‘, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’}
in_layout	bool
joinstyle	{‘miter’, ’round’, ‘bevel’}
linestyle or ls	{‘-‘, ‘–‘, ‘-.’, ‘:’, ”, (offset, on-off-seq), …}
linewidth or linewidths or lw	float or None
path_effects	AbstractPathEffect
picker	None or bool or float or callable
path_effects	AbstractPathEffect
picker	float or callable[[Artist, Event], Tuple[bool, dict]]
rasterized	bool or None
sketch_params	(scale: float, length: float, randomness: float)
snap	bool or None
transform	matplotlib.transforms.Transform
url	str
visible	bool
zorder	float

Example 1:

import matplotlib.pyplot as plt
from matplotlib.patches import CirclePolygon


circle = CirclePolygon((0, 0),
                       radius = 0.75,
                       fc = 'y')

plt.gca().add_patch(circle)

verts = circle.get_path().vertices
trans = circle.get_patch_transform()
points = trans.transform(verts)

plt.plot(points[:, 0], points[:, 1])
plt.axis('scaled')

plt.show()

Output:

Example 2:

import numpy as np
import matplotlib
from matplotlib.patches import Circle, Wedge, Polygon, Ellipse
from matplotlib.collections import PatchCollection
import matplotlib.pyplot as plt
import matplotlib.patches as matpatches


fig, ax = plt.subplots(figsize =(8, 8))
patches = []


circle = Circle((2, 2), 2)
patches.append(circle)



polygon = matpatches.PathPatch(patches[0].get_path())
patches.append(polygon)


colors = 2 * np.random.rand(len(patches))
p = PatchCollection(patches,
                    cmap = matplotlib.cm.jet,
                    alpha = 0.4)

p.set_array(np.array(colors))
ax.add_collection(p)

plt.axis([-10, 10, -10, 10])

plt.show()

Output: