Plot the convex hull around a set of points as a shaded polygon.

hull_plot.py

# -*- coding: utf-8 -*-
"""
Plot the convex hull around a set of points as a
shaded polygon.

@author: Nicolas Guarin Zapata
@date: October 15, 2014
"""
import numpy as np
from scipy.spatial import ConvexHull
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon

points = np.random.rand(30, 2)   # 30 random points in 2-D
hull = ConvexHull(points)

plt.plot(points[:,0], points[:,1], 'o')
cent = np.mean(points, 0)
pts = []
for pt in points[hull.simplices]:
    pts.append(pt[0].tolist())
    pts.append(pt[1].tolist())

pts.sort(key=lambda p: np.arctan2(p[1] - cent[1],
                                p[0] - cent[0]))
pts = pts[0::2]  # Deleting duplicates
pts.insert(len(pts), pts[0])
k = 1.1
color = 'green'
poly = Polygon(k*(np.array(pts)- cent) + cent,
               facecolor=color, alpha=0.2)
poly.set_capstyle('round')
plt.gca().add_patch(poly)

plt.savefig('convex.png')

Thanks for the code!

I notice that as of scipy v1.8.0 and in 2-dimensional context, one may get a list of convex hull points in (counter)clockwise order directly from points[hull.vertices]. In addition, pts.insert(len(pts), pts[0]) is not necessary when closed=True is added (which is the default behavior as of matplotlib v3.6.2) to the Polygon constructor. Thus, my code would be:

import numpy as np
from scipy.spatial import ConvexHull
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon

points = np.random.rand(30, 2)   # 30 random points in 2-D
hull = ConvexHull(points)

plt.plot(points[:,0], points[:,1], 'o')
cent = np.mean(points, axis=0)
pts = points[hull.vertices]

k = 1.1
color = 'green'
poly = Polygon(k*(pts - cent) + cent, closed=True,
               capstyle='round', facecolor=color, alpha=0.2)
plt.gca().add_patch(poly)
plt.savefig('convex.png')

Thanks again!

@kkew3, I tried and it works finely. That makes the code more compact, thanks!