1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
|
import matplotlib.pyplot as plt
from queue import Queue
class VrptwAcoFigure:
def __init__(self, nodes: list, path_queue: Queue):
"""
matplotlib绘图计算需要放在主线程，寻找路径的工作建议另外开一个线程，
当寻找路径的线程找到一个新的path的时候，将path放在path_queue中，图形绘制线程就会自动进行绘制
queue中存放的path以PathMessage（class）的形式存在
nodes中存放的结点以Node（class）的形式存在，主要使用到Node.x, Node.y 来获取到结点的坐标
:param nodes: nodes是各个结点的list，包括depot
:param path_queue: queue用来存放工作线程计算得到的path，队列中的每一个元素都是一个path，path中存放的是各个结点的id
"""
self.nodes = nodes
self.figure = plt.figure(figsize=(10, 10))
self.figure_ax = self.figure.add_subplot(1, 1, 1)
self.path_queue = path_queue
self._depot_color = 'k'
self._customer_color = 'steelblue'
self._line_color = 'darksalmon'
def _draw_point(self):
# 画出depot
self.figure_ax.scatter([self.nodes[0].x], [self.nodes[0].y], c=self._depot_color, label='depot', s=40)
# 画出customer
self.figure_ax.scatter(list(node.x for node in self.nodes[1:]),
list(node.y for node in self.nodes[1:]), c=self._customer_color, label='customer', s=20)
plt.pause(0.5)
def run(self):
# 先绘制出各个结点
self._draw_point()
self.figure.show()
# 从队列中读取新的path，进行绘制
while True:
if not self.path_queue.empty():
# 取队列中最新的一个path，其他的path丢弃
info = self.path_queue.get()
while not self.path_queue.empty():
info = self.path_queue.get()
path, distance, used_vehicle_num = info.get_path_info()
if path is None:
print('[draw figure]: exit')
break
# 需要先记录要移除的line，不能直接在第一个循环中进行remove，
# 不然self.figure_ax.lines会在循环的过程中改变，导致部分line无法成功remove
remove_obj = []
for line in self.figure_ax.lines:
if line._label == 'line':
remove_obj.append(line)
for line in remove_obj:
self.figure_ax.lines.remove(line)
remove_obj.clear()
plt.pause(1)
# 重新绘制line
self.figure_ax.set_title('current path travel distance: %f' % distance)
self._draw_line(path)
plt.pause(1)
def _draw_line(self, path):
# 根据path中index进行路径的绘制
for i in range(1, len(path)):
x_list = [self.nodes[path[i - 1]].x, self.nodes[path[i]].x]
y_list = [self.nodes[path[i - 1]].y, self.nodes[path[i]].y]
self.figure_ax.plot(x_list, y_list, color=self._line_color, linewidth=1.5, label='line')
plt.pause(0.02)
|
