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
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
|
#!/usr/bin/env python
# Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.org/sumo
# Copyright (C) 2008-2020 German Aerospace Center (DLR) and others.
# This program and the accompanying materials are made available under the
# terms of the Eclipse Public License 2.0 which is available at
# https://www.eclipse.org/legal/epl-2.0/
# This Source Code may also be made available under the following Secondary
# Licenses when the conditions for such availability set forth in the Eclipse
# Public License 2.0 are satisfied: GNU General Public License, version 2
# or later which is available at
# https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
# SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
# @file plot_net_dump.py
# @author Daniel Krajzewicz
# @author Laura Bieker
# @author Robert Hilbrich
# @date 2016-08-05
from __future__ import absolute_import
from __future__ import print_function
import os
import sys
from xml.sax.handler import ContentHandler
if 'SUMO_HOME' in os.environ:
sys.path.append(os.path.join(os.environ['SUMO_HOME'], 'tools'))
else:
sys.exit("please declare environment variable 'SUMO_HOME'")
import sumolib # noqa
from sumolib.visualization import helpers # noqa
import matplotlib.pyplot as plt # noqa
import matplotlib # noqa
class WeightsReader(ContentHandler):
"""Reads the dump file"""
def __init__(self, value):
self._edge2value = {}
self._value = value
self._intervals = []
def startElement(self, name, attrs):
if name == 'interval':
self._time = float(attrs['begin'])
self._edge2value[self._time] = {}
self._intervals.append(self._time)
elif name == 'edge':
id = attrs['id']
if self._value in attrs:
self._edge2value[self._time][id] = float(attrs[self._value])
def main(args=None):
"""The main function; parses options and plots"""
# ---------- build and read options ----------
from optparse import OptionParser
optParser = OptionParser()
optParser.add_option("-n", "--net", dest="net", metavar="FILE",
help="Defines the network to read")
optParser.add_option("-i", "--dump-inputs", dest="dumps", metavar="FILE",
help="Defines the dump-output files to use as input")
optParser.add_option("-m", "--measures", dest="measures",
default="speed,entered", help="Define which measure to plot")
optParser.add_option("--min-width", dest="minWidth",
type="float", default=.5, help="Defines the minimum edge width")
optParser.add_option("--max-width", dest="maxWidth",
type="float", default=3, help="Defines the maximum edge width")
optParser.add_option("--log-colors", dest="logColors", action="store_true",
default=False, help="If set, colors are log-scaled")
optParser.add_option("--log-widths", dest="logWidths", action="store_true",
default=False, help="If set, widths are log-scaled")
optParser.add_option("--min-color-value", dest="colorMin",
type="float", default=None,
help="If set, defines the minimum edge color value")
optParser.add_option("--max-color-value", dest="colorMax",
type="float", default=None,
help="If set, defines the maximum edge color value")
optParser.add_option("--min-width-value", dest="widthMin",
type="float", default=None,
help="If set, defines the minimum edge width value")
optParser.add_option("--max-width-value", dest="widthMax",
type="float", default=None,
help="If set, defines the maximum edge width value")
optParser.add_option("-v", "--verbose", dest="verbose", action="store_true",
default=False,
help="If set, the script says what it's doing")
optParser.add_option("--color-bar-label", dest="colorBarLabel", default="",
help="The label to put on the color bar")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(optParser)
helpers.addNetOptions(optParser)
# Override the help string for the output option
outputOpt = optParser.get_option("--output")
outputOpt.help = ("Comma separated list of filename(s) the figure shall be written to; " +
"for multiple time intervals use '%s' in the filename as a " +
"placeholder for the beginning of the time interval")
# parse
options, _ = optParser.parse_args(args=args)
if options.net is None:
print("Error: a network to load must be given.")
return 1
if options.verbose:
print("Reading network from '%s'" % options.net)
net = sumolib.net.readNet(options.net)
if options.measures is None:
print("Error: a dump file must be given.")
return 1
dumps = options.dumps.split(",")
times = []
hc = None
colorDump = dumps[0]
colorMeasure = options.measures.split(",")[0]
if colorDump:
if options.verbose:
print("Reading colors from '%s'" % colorDump)
hc = WeightsReader(colorMeasure)
sumolib.output.parse_sax(colorDump, hc)
times = hc._edge2value
hw = None
if len(dumps) > 1:
widthDump = dumps[1]
widthMeasure = options.measures.split(",")[1]
if options.verbose:
print("Reading widths from '%s'" % widthDump)
hw = WeightsReader(widthMeasure)
sumolib.output.parse_sax(widthDump, hw)
times = hw._edge2value
# Should we also save the figure to a file / list of files (comma
# separated)? Then we need to check the output filename(s)
if options.output:
options.nolegend = True
optOutputNames = options.output
# If we have multiple intervals to be plotted, make sure we have
# proper output filenames (with a %s as a placeholder in it)
if len(times) > 1 and optOutputNames.find('%s') < 0:
print('Warning: multiple time intervals detected, but ' +
'the output filename(s) do not contain a \'%s\' placeholder. ' +
'Continuing by using a default placeholder.')
# Modify each filename by putting a '-%s' right before the
# extension
filenames = optOutputNames.split(',')
for i in range(0, len(filenames)):
filename, extension = os.path.splitext(filenames[i])
filenames[i] = filename + '-%s' + extension
optOutputNames = ','.join(filenames)
# Now go through each time interval and create the figures
for t in times:
if options.verbose:
print("Processing interval with a beginning of %s" % t)
colors = {}
maxColorValue = None
minColorValue = None
for e in net._id2edge:
if hc and t in hc._edge2value and e in hc._edge2value[t]:
if options.colorMax is not None and hc._edge2value[t][e] > options.colorMax:
hc._edge2value[t][e] = options.colorMax
if options.colorMin is not None and hc._edge2value[t][e] < options.colorMin:
hc._edge2value[t][e] = options.colorMin
if maxColorValue is None or maxColorValue < hc._edge2value[t][e]:
maxColorValue = hc._edge2value[t][e]
if minColorValue is None or minColorValue > hc._edge2value[t][e]:
minColorValue = hc._edge2value[t][e]
colors[e] = hc._edge2value[t][e]
if options.colorMax is not None:
maxColorValue = options.colorMax
if options.colorMin is not None:
minColorValue = options.colorMin
if options.logColors:
helpers.logNormalise(colors, maxColorValue)
else:
helpers.linNormalise(colors, minColorValue, maxColorValue)
for e in colors:
colors[e] = helpers.getColor(options, colors[e], 1.)
if options.verbose:
print("Color values are between %s and %s" %
(minColorValue, maxColorValue))
widths = {}
maxWidthValue = None
minWidthValue = None
for e in net._id2edge:
if hw and t in hw._edge2value and e in hw._edge2value[t]:
v = abs(hw._edge2value[t][e])
if options.widthMax is not None and v > options.widthMax:
v = options.widthMax
if options.widthMin is not None and v < options.widthMin:
v = options.widthMin
if maxWidthValue is None or maxWidthValue < v:
maxWidthValue = v
if minWidthValue is None or minWidthValue > v:
minWidthValue = v
widths[e] = v
if options.widthMax is not None:
maxWidthValue = options.widthMax
if options.widthMin is not None:
minWidthValue = options.widthMin
if options.logWidths:
helpers.logNormalise(widths, options.colorMax)
else:
helpers.linNormalise(widths, minWidthValue, maxWidthValue)
for e in widths:
widths[e] = options.minWidth + widths[e] * \
(options.maxWidth - options.minWidth)
if options.verbose:
print("Width values are between %s and %s" %
(minWidthValue, maxWidthValue))
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, colors, widths, options)
# drawing the legend, at least for the colors
norm = matplotlib.colors.LogNorm if options.logColors else matplotlib.colors.Normalize
sm = plt.cm.ScalarMappable(cmap=matplotlib.cm.get_cmap(options.colormap),
norm=norm(vmin=minColorValue, vmax=maxColorValue))
# "fake up the array of the scalar mappable. Urgh..."
# (pelson, http://stackoverflow.com/questions/8342549/matplotlib-add-colorbar-to-a-sequence-of-line-plots)
sm._A = []
color_bar = plt.colorbar(sm)
color_bar.set_label(options.colorBarLabel)
# Should we also save the figure to a file / list of files (comma
# separated)?
expandedOutputNames = None
if options.output:
# If we have a "%s" in the name of the output then replace it with the
# interval begin of the current interval
expandedOutputNames = optOutputNames
if expandedOutputNames.find('%s') >= 0:
expandedOutputNames = expandedOutputNames.replace("%s", str(t))
# Can be used to print additional text in the figure:
#
# m, s = divmod(int(t), 60)
# h, m = divmod(m, 60)
# timeStr = "%02d:%02d:%02d" % (h, m, s)
# ax.text(0.2, 0.2, timeStr, bbox={
# 'facecolor': 'white', 'pad': 10}, size=16)
helpers.closeFigure(fig, ax, options, False, expandedOutputNames)
return 0
if __name__ == "__main__":
sys.exit(main(sys.argv))
|
