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Matplotlib.patches.CirclePolygon class in Python

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  • Last Updated : 27 Apr, 2020
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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 ;

PROPERTYDESCRIPTION
agg_filtera filter function that takes a (m, n, 3) float array and a dpi value that returns a (m, n, 3) array
alphafloat or None
animatedbool
antialiased or aaunknown
capstyle{‘butt’, ’round’, ‘projecting’}
clip_boxBbox
clip_onbool
clip_path[(Path, Transform)|Patch|None]
colorcolor or sequence of rgba tuples
containscallable
edgecolor or ec or edgecolorscolor or None or ‘auto’
facecolor or fc or facecolorscolor or None
figurefigure
fillbool
gidstr
hatch{‘/’, ‘\’, ‘|’, ‘-‘, ‘+’, ‘x’, ‘o’, ‘O’, ‘.’, ‘*’}
in_layoutbool
joinstyle{‘miter’, ’round’, ‘bevel’}
linestyle or ls{‘-‘, ‘–‘, ‘-.’, ‘:’, ”, (offset, on-off-seq), …}
linewidth or linewidths or lwfloat or None
path_effectsAbstractPathEffect
pickerNone or bool or float or callable
path_effectsAbstractPathEffect
pickerfloat or callable[[Artist, Event], Tuple[bool, dict]]
rasterizedbool or None
sketch_params(scale: float, length: float, randomness: float)
snapbool or None
transformmatplotlib.transforms.Transform
urlstr
visiblebool
zorderfloat

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:


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