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Matplotlib.patches.RegularPolygon class in Python

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  • Last Updated : 07 Oct, 2021

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.RegularPolygon

The matplotlib.patches.RegularPolygon class is used to add a regular polygon patch.

Syntax: class matplotlib.patches.RegularPolygon(xy, numVertices, radius=5, orientation=0, **kwargs)
Parameters:  

  • xy: A length 2 tuple (x, y) of the center.
     
  • numVertices: It represents the number of vertices.
     
  • radius: The distance from the center to each of the vertices.
     
  • orientation: It is used to rotate the polygon (in radians). 

The below table has a list of 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: 

Python3




import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
import numpy as np
 
 
coord = [[0, 0, 0],
         [0, 1, -1],
         [-1, 1, 0],
         [-1, 0, 1],
         [0, -1, 1],
         [1, -1, 0],
         [1, 0, -1]]
 
colors = [["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"],
          ["Green"]]
 
labels = [['1'], ['2'],
          ['3'], ['4'],
          ['5'], ['6'],
          ['7']]
 
# Horizontal cartesian coords
hcoord = for c in coord]
 
# Vertical cartersian coords
vcoord = [2. * np.sin(np.radians(60)) * (c[1] - c[2]) /3.
          for c in coord]
 
fig, ax = plt.subplots(1)
ax.set_aspect('equal')
 
# Add some coloured hexagons
for x, y, c, l in zip(hcoord, vcoord, colors, labels):
     
    # matplotlib understands lower
    # case words for colours
    color = c[0].lower()
    hex = RegularPolygon((x, y),
                         numVertices = 6,
                         radius = 2. / 3.,
                         orientation = np.radians(30),
                         facecolor = color,
                         alpha = 0.2,
                         edgecolor ='k')
     
    ax.add_patch(hex)
     
    # Also add a text label
    ax.text(x, y + 0.2, l[0], ha ='center',
            va ='center', size = 20)
 
# add scatter points in hexagon centers
ax.scatter(hcoord, vcoord, c =.lower()
                               for c in colors],
           alpha = 0.5)
 
plt.show()

Output: 

Example 2: 

Python3




import matplotlib.pyplot as plt
from matplotlib.patches import RegularPolygon
from matplotlib.collections import PatchCollection
import numpy as np
 
 
xy = np.random.random((10, 2))
z = np.random.random(10)
 
patches = [RegularPolygon((x, y),
                          5, 0.1)
           for x, y in xy]
 
collection = PatchCollection(patches,
                             array = z,
                             edgecolors ='brown',
                             lw = 2)
 
fig, ax = plt.subplots()
 
ax.patch.set(facecolor ='green')
ax.add_collection(collection)
ax.autoscale()
 
plt.show()

Output: 


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