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")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(optParser)
helpers.addNetOptions(optParser)
# parse
options, remaining_args = optParser.parse_args(args=args)
if options.net == 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 == None:
print("Error: a dump file must be given.")
return 1
times = []
hc = None
if options.dumps.split(",")[0] != "":
if options.verbose:
print("Reading colors from '%s'" % options.dumps.split(",")[0])
hc = WeightsReader(options.measures.split(",")[0])
sumolib.output.parse_sax(options.dumps.split(",")[0], hc)
times = hc._edge2value
hw = None
if options.dumps.split(",")[1] != "":
if options.verbose:
print("Reading widths from '%s'" % options.dumps.split(",")[1])
hw = WeightsReader(options.measures.split(",")[1])
sumolib.output.parse_sax(options.dumps.split(",")[1], hw)
times = hw._edge2value
for t in times:
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 != None and hc._edge2value[t][e] > options.colorMax:
hc._edge2value[t][e] = options.colorMax
if options.colorMin != None and hc._edge2value[t][e] < options.colorMin:
hc._edge2value[t][e] = options.colorMin
if maxColorValue == None or maxColorValue < hc._edge2value[t][e]:
maxColorValue = hc._edge2value[t][e]
if minColorValue == None or minColorValue > hc._edge2value[t][e]:
minColorValue = hc._edge2value[t][e]
colors[e] = hc._edge2value[t][e]
if options.colorMax != None:
maxColorValue = options.colorMax
if options.colorMin != 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 != None and v > options.widthMax:
v = options.widthMax
if options.widthMin != None and v < options.widthMin:
v = options.widthMin
if not maxWidthValue or maxWidthValue < v:
maxWidthValue = v
if not minWidthValue or minWidthValue > v:
minWidthValue = v
widths[e] = v
if options.widthMax != None:
maxWidthValue = options.widthMax
if options.widthMin != 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
sm = plt.cm.ScalarMappable(cmap=matplotlib.cm.get_cmap(
options.colormap), norm=matplotlib.colors.Normalize(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 = []
plt.colorbar(sm)
options.nolegend = True
optName = None
if options.output and options.output.find("%s") >= 0:
m, s = divmod(int(t), 60)
h, m = divmod(m, 60)
timeStr = "%02d:%02d:%02d" % (h, m, s)
ax.text(7300, 15500, timeStr, bbox={
'facecolor': 'white', 'pad': 10}, size=16)
optName = options.output.replace("%s", str(t))
helpers.closeFigure(fig, ax, options, False, optName)
if optName == None:
return 0
return 0
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, remaining_args = 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
times = []
hc = None
colorDump = options.dumps.split(",")[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
widthDump = options.dumps.split(",")[1]
widthMeasure = options.measures.split(",")[1]
if widthDump != "":
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)?
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
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")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(optParser)
helpers.addNetOptions(optParser)
# parse
options, remaining_args = optParser.parse_args(args=args)
if options.net == 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 == None:
print("Error: a dump file must be given.")
return 1
times = []
hc = None
if options.dumps.split(",")[0] != "":
if options.verbose:
print("Reading colors from '%s'" % options.dumps.split(",")[0])
hc = WeightsReader(options.measures.split(",")[0])
sumolib.output.parse_sax(options.dumps.split(",")[0], hc)
times = hc._edge2value
hw = None
if options.dumps.split(",")[1] != "":
if options.verbose:
print("Reading widths from '%s'" % options.dumps.split(",")[1])
hw = WeightsReader(options.measures.split(",")[1])
sumolib.output.parse_sax(options.dumps.split(",")[1], hw)
times = hw._edge2value
for t in times:
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 != None and hc._edge2value[t][
e] > options.colorMax:
hc._edge2value[t][e] = options.colorMax
if options.colorMin != None and hc._edge2value[t][
e] < options.colorMin:
hc._edge2value[t][e] = options.colorMin
if maxColorValue == None or maxColorValue < hc._edge2value[t][
e]:
maxColorValue = hc._edge2value[t][e]
if minColorValue == None or minColorValue > hc._edge2value[t][
e]:
minColorValue = hc._edge2value[t][e]
colors[e] = hc._edge2value[t][e]
if options.colorMax != None:
maxColorValue = options.colorMax
if options.colorMin != 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 != None and v > options.widthMax:
v = options.widthMax
if options.widthMin != None and v < options.widthMin:
v = options.widthMin
if not maxWidthValue or maxWidthValue < v:
maxWidthValue = v
if not minWidthValue or minWidthValue > v:
minWidthValue = v
widths[e] = v
if options.widthMax != None:
maxWidthValue = options.widthMax
if options.widthMin != 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
sm = plt.cm.ScalarMappable(
cmap=matplotlib.cm.get_cmap(options.colormap),
norm=matplotlib.colors.Normalize(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 = []
plt.colorbar(sm)
options.nolegend = True
optName = None
if options.output and options.output.find("%s") >= 0:
m, s = divmod(int(t), 60)
h, m = divmod(m, 60)
timeStr = "%02d:%02d:%02d" % (h, m, s)
ax.text(7300,
15500,
timeStr,
bbox={
'facecolor': 'white',
'pad': 10
},
size=16)
optName = options.output.replace("%s", str(t))
helpers.closeFigure(fig, ax, options, False, optName)
if optName == None:
return 0
return 0
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")
# 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, remaining_args = optParser.parse_args(args=args)
if options.net == 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 == None:
print("Error: a dump file must be given.")
return 1
times = []
hc = None
colorDump = options.dumps.split(",")[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
widthDump = options.dumps.split(",")[1]
widthMeasure = options.measures.split(",")[1]
if widthDump != "":
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 != None and hc._edge2value[t][e] > options.colorMax:
hc._edge2value[t][e] = options.colorMax
if options.colorMin != None and hc._edge2value[t][e] < options.colorMin:
hc._edge2value[t][e] = options.colorMin
if maxColorValue == None or maxColorValue < hc._edge2value[t][e]:
maxColorValue = hc._edge2value[t][e]
if minColorValue == None or minColorValue > hc._edge2value[t][e]:
minColorValue = hc._edge2value[t][e]
colors[e] = hc._edge2value[t][e]
if options.colorMax != None:
maxColorValue = options.colorMax
if options.colorMin != 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 != None and v > options.widthMax:
v = options.widthMax
if options.widthMin != None and v < options.widthMin:
v = options.widthMin
if not maxWidthValue or maxWidthValue < v:
maxWidthValue = v
if not minWidthValue or minWidthValue > v:
minWidthValue = v
widths[e] = v
if options.widthMax != None:
maxWidthValue = options.widthMax
if options.widthMin != 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
sm = plt.cm.ScalarMappable(cmap=matplotlib.cm.get_cmap(options.colormap),
norm=matplotlib.colors.Normalize(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 = []
plt.colorbar(sm)
# Should we also save the figure to a file / list of files (comma
# separated)?
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