#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: huiming zhou """ import matplotlib.pyplot as plt import env class Plotting(): def __init__(self, xI, xG): self.xI, self.xG = xI, xG self.env = env.Env(self.xI, self.xG) self.obs = self.env.obs_map() self.lose = self.env.lose_map() def animation(self, path, name): """ animation. :param path: optimal path :param name: tile of figure :return: an animation """ plt.figure(1) self.plot_grid(name) self.plot_lose() self.plot_path(path) def plot_grid(self, name): """ plot the obstacles in environment. :param name: title of figure :return: plot """ obs_x = [self.obs[i][0] for i in range(len(self.obs))] obs_y = [self.obs[i][1] for i in range(len(self.obs))] plt.plot(self.xI[0], self.xI[1], "bs", ms = 24) plt.plot(self.xG[0], self.xG[1], "gs", ms = 24) plt.plot(obs_x, obs_y, "sk", ms = 24) plt.title(name) plt.axis("equal") def plot_lose(self): """ plot losing states in environment. :return: a plot """ lose_x = [self.lose[i][0] for i in range(len(self.lose))] lose_y = [self.lose[i][1] for i in range(len(self.lose))] plt.plot(lose_x, lose_y, color = '#A52A2A', marker = 's', ms = 24) def plot_visited(self, visited): """ animation of order of visited nodes. :param visited: visited nodes :return: animation """ visited.remove(self.xI) count = 0 for x in visited: count += 1 plt.plot(x[0], x[1], linewidth='3', color='#808080', marker='o') plt.gcf().canvas.mpl_connect('key_release_event', lambda event: [exit(0) if event.key == 'escape' else None]) if count < len(visited) / 3: length = 15 elif count < len(visited) * 2 / 3: length = 30 else: length = 45 if count % length == 0: plt.pause(0.001) def plot_path(self, path): path.remove(self.xI) path.remove(self.xG) for x in path: plt.plot(x[0], x[1], color='#808080', marker='o', ms = 23) plt.gcf().canvas.mpl_connect('key_release_event', lambda event: [exit(0) if event.key == 'escape' else None]) plt.pause(0.001) plt.show() plt.pause(0.5) def plot_diff(self, diff, name): plt.figure(2) plt.title(name, fontdict=None) plt.xlabel('iterations') plt.ylabel('difference of successive iterations') plt.grid('on') count = 0 for x in diff: plt.plot(count, x, color='#808080', marker='o') # plot dots for animation plt.gcf().canvas.mpl_connect('key_release_event', lambda event: [exit(0) if event.key == 'escape' else None]) plt.pause(0.07) count += 1 plt.plot(diff, color='#808080') plt.pause(0.01) plt.show()