Check if points are inside ellipse faster than contains_point method (Matplotlib)

MatplotlibPythonData Visualization

To check if points are inside ellipse faster than contains_point method, we can take the following Steps −

  • Set the figure size and adjust the padding between and around the subplots.
  • Create a figure and a set of subplots.
  • Set the aspect ratios, equal.
  • Create x and y data points using numpy.
  • Initialize center, height, width and angle of the ellipse.
  • Get a scale free ellipse.
  • Add a '~.Patch' to the axes' patches; return the patch.
  • If the point lies inside an ellipse, change its color to "red" else "green".
  • Plot x and y data points using scatter() method, with colors.
  • To display the figure, use show() method.

Example

import matplotlib.pyplot as plt
import matplotlib.patches as patches
import numpy as np

plt.rcParams["figure.figsize"] = [7.50, 3.50]
plt.rcParams["figure.autolayout"] = True

fig, ax = plt.subplots(1)
ax.set_aspect('equal')

x = np.random.rand(100) * 0.5 + 0.7
y = np.random.rand(100) * 0.5 + 0.7

center = (0.7789, 0.7789)
width = 0.45
height = 0.20
angle = 45.
ecl = patches.Ellipse(center, width, height, angle=angle,
fill=False, edgecolor='green', linewidth=5)
ax.add_patch(ecl)

cosine = np.cos(np.radians(180. - angle))
sine = np.sin(np.radians(180. - angle))

xc = x - center[0]
yc = y - center[1]

xct = xc * cosine - yc * sine
yct = xc * sine + yc * cosine

rad_cc = (xct ** 2 / (width / 2.) ** 2) + (yct ** 2 / (height / 2.) ** 2)
colors = np.array(['yellow'] * len(rad_cc))
colors[np.where(rad_cc <=)[0]] = 'red'

ax.scatter(x, y, c=colors, linewidths=0.7)

plt.show()

Output

raja
Updated on 03-Aug-2021 13:02:31

Advertisements