""" Plot tools 2D @author: huiming zhou """ import os import sys import matplotlib.pyplot as plt sys.path.append(os.path.dirname(os.path.abspath(__file__)) + "/../../Search_based_Planning/") from Search_2D import env class Plotting: def __init__(self, xI, xG): self.xI, self.xG = xI, xG self.env = env.Env() self.obs = self.env.obs_map() def update_obs(self, obs): self.obs = obs def animation(self, path, visited, name): self.plot_grid(name) self.plot_visited(visited) self.plot_path(path) plt.show() def animation_lrta(self, path, visited, name): self.plot_grid(name) cl = self.color_list_2() path_combine = [] for k in range(len(path)): self.plot_visited(visited[k], cl[k]) plt.pause(0.2) self.plot_path(path[k]) path_combine += path[k] plt.pause(0.2) if self.xI in path_combine: path_combine.remove(self.xI) self.plot_path(path_combine) plt.show() def animation_ara_star(self, path, visited, name): self.plot_grid(name) cl_v, cl_p = self.color_list() for k in range(len(path)): self.plot_visited(visited[k], cl_v[k]) self.plot_path(path[k], cl_p[k], True) plt.pause(0.5) plt.show() def animation_bi_astar(self, path, v_fore, v_back, name): self.plot_grid(name) self.plot_visited_bi(v_fore, v_back) self.plot_path(path) plt.show() def plot_grid(self, name): obs_x = [x[0] for x in self.obs] obs_y = [x[1] for x in self.obs] plt.plot(self.xI[0], self.xI[1], "bs") plt.plot(self.xG[0], self.xG[1], "gs") plt.plot(obs_x, obs_y, "sk") plt.title(name) plt.axis("equal") def plot_visited(self, visited, cl='gray'): if self.xI in visited: visited.remove(self.xI) if self.xG in visited: visited.remove(self.xG) count = 0 for x in visited: count += 1 plt.plot(x[0], x[1], color=cl, 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 = 20 elif count < len(visited) * 2 / 3: length = 30 else: length = 40 # # length = 15 if count % length == 0: plt.pause(0.001) plt.pause(0.01) def plot_path(self, path, cl='r', flag=False): path_x = [path[i][0] for i in range(len(path))] path_y = [path[i][1] for i in range(len(path))] if not flag: plt.plot(path_x, path_y, linewidth='3', color='r') else: plt.plot(path_x, path_y, linewidth='3', color=cl) plt.plot(self.xI[0], self.xI[1], "bs") plt.plot(self.xG[0], self.xG[1], "gs") plt.pause(0.01) def plot_visited_bi(self, v_fore, v_back): if self.xI in v_fore: v_fore.remove(self.xI) if self.xG in v_back: v_back.remove(self.xG) len_fore, len_back = len(v_fore), len(v_back) for k in range(max(len_fore, len_back)): if k < len_fore: plt.plot(v_fore[k][0], v_fore[k][1], linewidth='3', color='gray', marker='o') if k < len_back: plt.plot(v_back[k][0], v_back[k][1], linewidth='3', color='cornflowerblue', marker='o') plt.gcf().canvas.mpl_connect('key_release_event', lambda event: [exit(0) if event.key == 'escape' else None]) if k % 10 == 0: plt.pause(0.001) plt.pause(0.01) @staticmethod def color_list(): cl_v = ['silver', 'wheat', 'lightskyblue', 'royalblue', 'slategray'] cl_p = ['gray', 'orange', 'deepskyblue', 'red', 'm'] return cl_v, cl_p @staticmethod def color_list_2(): cl = ['silver', 'steelblue', 'dimgray', 'cornflowerblue', 'dodgerblue', 'royalblue', 'plum', 'mediumslateblue', 'mediumpurple', 'blueviolet', ] return cl