python+matplotlib实现鼠标移动三角形高亮及索引显示

 import matplotlib.pyplot as plt from matplotlib.tri import Triangulation from matplotlib.patches import Polygon import numpy as np def update_polygon(tri): if tri == -1: points = [0, 0, 0] else: points = triang.triangles[tri] xs = triang.x[points] ys = triang.y[points] polygon.set_xy(list(zip(xs, ys))) def motion_notify(event): if event.inaxes is None: tri = -1 else: tri = trifinder(event.xdata, event.ydata) update_polygon(tri) plt.title('In triangle %i' % tri) event.canvas.draw() # Create a T<i style="color:transparent">来源gaodai$ma#com搞$$代**码网</i>riangulation. n_angles = 16 n_radii = 5 min_radius = 0.25 radii = np.linspace(min_radius, 0.95, n_radii) angles = np.linspace(0, 2 * np.pi, n_angles, endpoint=False) angles = np.repeat(angles[..., np.newaxis], n_radii, axis=1) angles[:, 1::2] += np.pi / n_angles x = (radii*np.cos(angles)).flatten() y = (radii*np.sin(angles)).flatten() triang = Triangulation(x, y) triang.set_mask(np.hypot(x[triang.triangles].mean(axis=1), y[triang.triangles].mean(axis=1)) <min_radius) # Use the triangulation's default TriFinder object. trifinder = triang.get_trifinder() # Setup plot and callbacks. plt.subplot(111, aspect='equal') plt.triplot(triang, 'bo-') polygon = Polygon([[0, 0], [0, 0]], facecolor='y') # dummy data for xs,ys update_polygon(-1) plt.gca().add_patch(polygon) plt.gcf().canvas.mpl_connect('motion_notify_event', motion_notify) plt.show()