-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathhelpers.py
162 lines (145 loc) · 7.62 KB
/
helpers.py
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
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
import networkx as nx
import pickle
import plotly.plotly as py
import random
from plotly.graph_objs import *
from plotly.offline import init_notebook_mode, plot, iplot
init_notebook_mode(connected=True)
map_10_dict = {
0: {'pos': (0.7798606835438107, 0.6922727646627362), 'connections': [7, 6, 5]},
1: {'pos': (0.7647837074641568, 0.3252670836724646), 'connections': [4, 3, 2]},
2: {'pos': (0.7155217893995438, 0.20026498027300055), 'connections': [4, 3, 1]},
3: {'pos': (0.7076566826610747, 0.3278339270610988), 'connections': [5, 4, 1, 2]},
4: {'pos': (0.8325506249953353, 0.02310946309985762), 'connections': [1, 2, 3]},
5: {'pos': (0.49016747075266875, 0.5464878695400415), 'connections': [7, 0, 3]},
6: {'pos': (0.8820353070895344, 0.6791919587749445), 'connections': [0]},
7: {'pos': (0.46247219371675075, 0.6258061621642713), 'connections': [0, 5]},
8: {'pos': (0.11622158839385677, 0.11236327488812581), 'connections': [9]},
9: {'pos': (0.1285377678230034, 0.3285840695698353), 'connections': [8]}
}
map_40_dict = {
0: {'pos': (0.7801603911549438, 0.49474860768712914), 'connections': [36, 34, 31, 28, 17]},
1: {'pos': (0.5249831588690298, 0.14953665513987202), 'connections': [35, 31, 27, 26, 25, 20, 18, 17, 15, 6]},
2: {'pos': (0.8085335344099086, 0.7696330846542071), 'connections': [39, 36, 21, 19, 9, 7, 4]},
3: {'pos': (0.2599134798656856, 0.14485659826020547), 'connections': [35, 20, 15, 11, 6]},
4: {'pos': (0.7353838928272886, 0.8089961609345658), 'connections': [39, 36, 21, 19, 9, 7, 2]},
5: {'pos': (0.09088671576431506, 0.7222846879290787), 'connections': [32, 16, 14]},
6: {'pos': (0.313999018186756, 0.01876171413125327), 'connections': [35, 20, 15, 11, 1, 3]},
7: {'pos': (0.6824813442515916, 0.8016111783687677), 'connections': [39, 36, 22, 21, 19, 9, 2, 4]},
8: {'pos': (0.20128789391122526, 0.43196344222361227), 'connections': [33, 30, 14]},
9: {'pos': (0.8551947714242674, 0.9011339078096633), 'connections': [36, 21, 19, 2, 4, 7]},
10: {'pos': (0.7581736589784409, 0.24026772497187532), 'connections': [31, 27, 26, 25, 24, 18, 17, 13]},
11: {'pos': (0.25311953895059136, 0.10321622277398101), 'connections': [35, 20, 15, 3, 6]},
12: {'pos': (0.4813859169876731, 0.5006237737207431), 'connections': [37, 34, 31, 28, 22, 17]},
13: {'pos': (0.9112422509614865, 0.1839028760606296), 'connections': [27, 24, 18, 10]},
14: {'pos': (0.04580558670435442, 0.5886703168399895), 'connections': [33, 30, 16, 5, 8]},
15: {'pos': (0.4582523173083307, 0.1735506267461867), 'connections': [35, 31, 26, 25, 20, 17, 1, 3, 6, 11]},
16: {'pos': (0.12939557977525573, 0.690016328140396), 'connections': [37, 30, 5, 14]},
17: {'pos': (0.607698913404794, 0.362322730884702), 'connections': [34, 31, 28, 26, 25, 18, 0, 1, 10, 12, 15]},
18: {'pos': (0.719569201584275, 0.13985272363426526), 'connections': [31, 27, 26, 25, 24, 1, 10, 13, 17]},
19: {'pos': (0.8860336256842246, 0.891868301175821), 'connections': [21, 2, 4, 7, 9]},
20: {'pos': (0.4238357358399233, 0.026771817842421997), 'connections': [35, 26, 1, 3, 6, 11, 15]},
21: {'pos': (0.8252497121120052, 0.9532681441921305), 'connections': [2, 4, 7, 9, 19]},
22: {'pos': (0.47415009287034726, 0.7353428557575755), 'connections': [39, 37, 29, 7, 12]},
23: {'pos': (0.26253385360950576, 0.9768234503830939), 'connections': [38, 32, 29]},
24: {'pos': (0.9363713903322148, 0.13022993020357043), 'connections': [27, 10, 13, 18]},
25: {'pos': (0.6243437191127235, 0.21665962402659544), 'connections': [34, 31, 27, 26, 1, 10, 15, 17, 18]},
26: {'pos': (0.5572917679006295, 0.2083567880838434), 'connections': [34, 31, 27, 1, 10, 15, 17, 18, 20, 25]},
27: {'pos': (0.7482655725962591, 0.12631654071213483), 'connections': [31, 1, 10, 13, 18, 24, 25, 26]},
28: {'pos': (0.6435799740880603, 0.5488515965193208), 'connections': [39, 36, 34, 31, 0, 12, 17]},
29: {'pos': (0.34509802713919313, 0.8800306496459869), 'connections': [38, 37, 32, 22, 23]},
30: {'pos': (0.021423673670808885, 0.4666482714834408), 'connections': [33, 8, 14, 16]},
31: {'pos': (0.640952694324525, 0.3232711412508066), 'connections': [34, 0, 1, 10, 12, 15, 17, 18, 25, 26, 27, 28]},
32: {'pos': (0.17440205342790494, 0.9528527425842739), 'connections': [38, 5, 23, 29]},
33: {'pos': (0.1332965908314021, 0.3996510641743197), 'connections': [8, 14, 30]},
34: {'pos': (0.583993110207876, 0.42704536740474663), 'connections': [0, 12, 17, 25, 26, 28, 31]},
35: {'pos': (0.3073865727705063, 0.09186645974288632), 'connections': [1, 3, 6, 11, 15, 20]},
36: {'pos': (0.740625863119245, 0.68128520136847), 'connections': [39, 0, 2, 4, 7, 9, 28]},
37: {'pos': (0.3345284735051981, 0.6569436279895382), 'connections': [12, 16, 22, 29]},
38: {'pos': (0.17972981733780147, 0.999395685828547), 'connections': [23, 29, 32]},
39: {'pos': (0.6315322816286787, 0.7311657634689946), 'connections': [2, 4, 7, 22, 28, 36]}
}
class Map:
def __init__(self, G):
self._graph = G
self.intersections = nx.get_node_attributes(G, "pos")
self.roads = [list(G[node]) for node in G.nodes()]
def save(self, filename):
with open(filename, 'wb') as f:
pickle.dump(self._graph, f)
def load_map_graph(map_dict):
G = nx.Graph()
for node in map_dict.keys():
G.add_node(node, pos=map_dict[node]['pos'])
for node in map_dict.keys():
for con_node in map_dict[node]['connections']:
G.add_edge(node, con_node)
return G
def load_map_10():
G = load_map_graph(map_10_dict)
return Map(G)
def load_map_40():
G = load_map_graph(map_40_dict)
return Map(G)
def show_map(M, start=None, goal=None, path=None):
G = M._graph
pos = nx.get_node_attributes(G, 'pos')
edge_trace = Scatter(
x=[],
y=[],
line=Line(width=0.5,color='#888'),
hoverinfo='none',
mode='lines')
for edge in G.edges():
x0, y0 = G.node[edge[0]]['pos']
x1, y1 = G.node[edge[1]]['pos']
edge_trace['x'] += [x0, x1, None]
edge_trace['y'] += [y0, y1, None]
node_trace = Scatter(
x=[],
y=[],
text=[],
mode='markers',
hoverinfo='text',
marker=Marker(
showscale=False,
# colorscale options
# 'Greys' | 'Greens' | 'Bluered' | 'Hot' | 'Picnic' | 'Portland' |
# Jet' | 'RdBu' | 'Blackbody' | 'Earth' | 'Electric' | 'YIOrRd' | 'YIGnBu'
colorscale='Hot',
reversescale=True,
color=[],
size=10,
colorbar=dict(
thickness=15,
title='Node Connections',
xanchor='left',
titleside='right'
),
line=dict(width=2)))
for node in G.nodes():
x, y = G.node[node]['pos']
node_trace['x'].append(x)
node_trace['y'].append(y)
for node, adjacencies in enumerate(G.adjacency_list()):
color = 0
if path and node in path:
color = 2
if node == start:
color = 3
elif node == goal:
color = 1
# node_trace['marker']['color'].append(len(adjacencies))
node_trace['marker']['color'].append(color)
node_info = "Intersection " + str(node)
node_trace['text'].append(node_info)
fig = Figure(data=Data([edge_trace, node_trace]),
layout=Layout(
title='<br>Network graph made with Python',
titlefont=dict(size=16),
showlegend=False,
hovermode='closest',
margin=dict(b=20,l=5,r=5,t=40),
xaxis=XAxis(showgrid=False, zeroline=False, showticklabels=False),
yaxis=YAxis(showgrid=False, zeroline=False, showticklabels=False)))
iplot(fig)