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plotting.py
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132 lines (110 loc) · 4.06 KB
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"""
Plotting tools for Sampling-based algorithms
@author: huiming zhou
"""
import matplotlib.pyplot as plt
import matplotlib.patches as patches
import os
import sys
#sys.path.append(os.path.dirname(os.path.abspath(__file__)) +
# "/../../Sampling_based_Planning/")
#from Sampling_based_Planning.rrt_2D import env
import env
class Plotting:
def __init__(self, x_start, x_goal):
self.xI, self.xG = x_start, x_goal
self.env = env.Env()
self.obs_bound = self.env.obs_boundary
self.obs_circle = self.env.obs_circle
self.obs_rectangle = self.env.obs_rectangle
def animation(self, nodelist, path, name, animation=False):
self.plot_grid(name)
self.plot_visited(nodelist, animation)
self.plot_path(path)
def animation_connect(self, V1, V2, path, name):
self.plot_grid(name)
self.plot_visited_connect(V1, V2)
self.plot_path(path)
def plot_grid(self, name):
fig, ax = plt.subplots()
for (ox, oy, w, h) in self.obs_bound:
ax.add_patch(
patches.Rectangle(
(ox, oy), w, h,
edgecolor='black',
facecolor='black',
fill=True
)
)
for (ox, oy, w, h) in self.obs_rectangle:
ax.add_patch(
patches.Rectangle(
(ox, oy), w, h,
edgecolor='black',
facecolor='gray',
fill=True
)
)
for (ox, oy, r) in self.obs_circle:
ax.add_patch(
patches.Circle(
(ox, oy), r,
edgecolor='black',
facecolor='gray',
fill=True
)
)
plt.plot(self.xI[0], self.xI[1], "bs", linewidth=3)
plt.plot(self.xG[0], self.xG[1], "gs", linewidth=3)
plt.title(name)
plt.axis("equal")
@staticmethod
def plot_visited(nodelist, animation):
if animation:
count = 0
for node in nodelist:
count += 1
if node.parent:
plt.plot([node.parent.x, node.x], [node.parent.y, node.y], "-g")
plt.gcf().canvas.mpl_connect('key_release_event',
lambda event:
[exit(0) if event.key == 'escape' else None])
if count % 10 == 0:
plt.pause(0.001)
else:
for node in nodelist:
if node.parent:
plt.plot([node.parent.x, node.x], [node.parent.y, node.y], "-g")
@staticmethod
def plot_visited_connect(V1, V2):
len1, len2 = len(V1), len(V2)
for k in range(max(len1, len2)):
if k < len1:
if V1[k].parent:
plt.plot([V1[k].x, V1[k].parent.x], [V1[k].y, V1[k].parent.y], "-g")
if k < len2:
if V2[k].parent:
plt.plot([V2[k].x, V2[k].parent.x], [V2[k].y, V2[k].parent.y], "-g")
plt.gcf().canvas.mpl_connect('key_release_event',
lambda event: [exit(0) if event.key == 'escape' else None])
if k % 2 == 0:
plt.pause(0.001)
plt.pause(0.01)
@staticmethod
def plot_visited_alone(V1):
len1 = len(V1)
for k in range(len1):
if k < len1:
if V1[k].parent:
plt.plot([V1[k].x, V1[k].parent.x], [V1[k].y, V1[k].parent.y], color='darkorange')
plt.gcf().canvas.mpl_connect('key_release_event',
lambda event: [exit(0) if event.key == 'escape' else None])
if k % 2 == 0:
plt.pause(0.0005)
plt.pause(0.01)
@staticmethod
def plot_path(path):
if len(path) != 0:
plt.plot([x[0] for x in path], [x[1] for x in path], '-r', linewidth=2)
plt.pause(0.01)
plt.show()