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;
| 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 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 centres ax.scatter(hcoord, vcoord, c =.lower() for c in colors], alpha = 0.5) plt.show() |
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Output:
Example 2:
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() |
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Output:
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