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("-v", "--verbose", dest="verbose", action="store_true",
default=False, help="If set, the script says what it's doing")
optParser.add_option("-w", "--width", dest="width",
type="float", default=20, help="Defines the width of the dots")
optParser.add_option("-c", "--color", dest="color",
default='r', help="Defines the dot color")
optParser.add_option("--edge-width", dest="defaultWidth",
type="float", default=1, help="Defines the edge width")
optParser.add_option("--edge-color", dest="defaultColor",
default='k', help="Defines the edge color")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(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)
tlsn = {}
for tid in net._id2tls:
t = net._id2tls[tid]
tlsn[tid] = set()
for c in t._connections:
n = c[0].getEdge().getToNode()
tlsn[tid].add(n)
tlspX = []
tlspY = []
for tid in tlsn:
x = 0
y = 0
n = 0
for node in tlsn[tid]:
x += node._coord[0]
y += node._coord[1]
n = n + 1
x = x / n
y = y / n
tlspX.append(x)
tlspY.append(y)
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, {}, {}, options)
plt.plot(tlspX, tlspY, options.color, linestyle='.', marker='o', markersize=options.width)
options.nolegend = True
helpers.closeFigure(fig, ax, options)
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", "--selection", dest="selection", metavar="FILE",
help="Defines the selection to read")
optParser.add_option("--selected-width", dest="selectedWidth",
type="float", default=1, help="Defines the width of selected edges")
optParser.add_option("--color", "--selected-color", dest="selectedColor",
default='r', help="Defines the color of selected edges")
optParser.add_option("--edge-width", dest="defaultWidth",
type="float", default=.2, help="Defines the width of not selected edges")
optParser.add_option("--edge-color", dest="defaultColor",
default='#606060', help="Defines the color of not selected edges")
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)
# 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.selection==None:
print "Error: a selection to load must be given."
return 1
if options.verbose: print "Reading network from '%s'" % options.net
net = sumolib.net.readNet(options.net)
selection = sumolib.files.selection.read(options.selection)
colors = {}
widths = {}
for e in selection["edge"]:
colors[e] = options.selectedColor
widths[e] = options.selectedWidth
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, colors, widths, options)
options.nolegend = True
helpers.closeFigure(fig, ax, options)
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("-w", "--default-width", dest="defaultWidth",
type="float", default=.1, help="Defines the default edge width")
optParser.add_option("-c", "--default-color", dest="defaultColor",
default='k', help="Defines the default edge color")
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)
# 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 = matplotlib.cm.ScalarMappable(cmap=get_cmap(options.colormap), norm=plt.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
helpers.closeFigure(fig, ax, options)
return 0 # !!! hack
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("--edge-width", dest="defaultWidth",
type="float", default=1, help="Defines the edge width")
optParser.add_option("--edge-color", dest="defaultColor",
default='k', help="Defines the edge color")
optParser.add_option("--minV", dest="minV",
type="float", default=None, help="Define the minimum value boundary")
optParser.add_option("--maxV", dest="maxV",
type="float", default=None, help="Define the maximum value boundary")
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)
# 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)
speeds = {}
minV = None
maxV = None
for e in net._id2edge:
v = net._id2edge[e]._speed
if minV==None or minV>v:
minV = v
if maxV==None or maxV<v:
maxV = v
speeds[e] = v
if options.minV!=None: minV = options.minV
if options.maxV!=None: maxV = options.maxV
#if options.logColors:
# helpers.logNormalise(colors, maxColorValue)
# else:
# helpers.linNormalise(colors, minColorValue, maxColorValue)
helpers.linNormalise(speeds, minV, maxV)
for e in speeds:
speeds[e] = helpers.getColor(options, speeds[e], 1.)
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, speeds, {}, options)
# drawing the legend, at least for the colors
print "%s -> %s" % (minV, maxV)
sm = matplotlib.cm.ScalarMappable(cmap=get_cmap(options.colormap), norm=plt.normalize(vmin=minV, vmax=maxV))
# "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
helpers.closeFigure(fig, ax, options)
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("-w",
"--default-width",
dest="defaultWidth",
type="float",
default=.1,
help="Defines the default edge width")
optParser.add_option("-c",
"--default-color",
dest="defaultColor",
default='k',
help="Defines the default edge color")
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)
# 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 = matplotlib.cm.ScalarMappable(cmap=get_cmap(options.colormap),
norm=plt.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
helpers.closeFigure(fig, ax, options)
return 0 # !!! hack
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("-v",
"--verbose",
dest="verbose",
action="store_true",
default=False,
help="If set, the script says what it's doing")
optParser.add_option("-w",
"--width",
dest="width",
type="float",
default=20,
help="Defines the width of the dots")
optParser.add_option("-c",
"--color",
dest="color",
default='r',
help="Defines the dot color")
optParser.add_option("--edge-width",
dest="defaultWidth",
type="float",
default=1,
help="Defines the edge width")
optParser.add_option("--edge-color",
dest="defaultColor",
default='k',
help="Defines the edge color")
# standard plot options
helpers.addInteractionOptions(optParser)
helpers.addPlotOptions(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)
tlsn = {}
for tid in net._id2tls:
t = net._id2tls[tid]
tlsn[tid] = set()
for c in t._connections:
n = c[0].getEdge().getToNode()
tlsn[tid].add(n)
tlspX = []
tlspY = []
for tid in tlsn:
x = 0
y = 0
n = 0
for node in tlsn[tid]:
x += node._coord[0]
y += node._coord[1]
n = n + 1
x = x / n
y = y / n
tlspX.append(x)
tlspY.append(y)
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, {}, {}, options)
plt.plot(tlspX,
tlspY,
options.color,
linestyle='.',
marker='o',
markersize=options.width)
options.nolegend = True
helpers.closeFigure(fig, ax, options)
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("--edge-width",
dest="defaultWidth",
type="float",
default=1,
help="Defines the edge width")
optParser.add_option("--edge-color",
dest="defaultColor",
default='k',
help="Defines the edge color")
optParser.add_option("--minV",
dest="minV",
type="float",
default=None,
help="Define the minimum value boundary")
optParser.add_option("--maxV",
dest="maxV",
type="float",
default=None,
help="Define the maximum value boundary")
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)
# 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)
speeds = {}
minV = None
maxV = None
for e in net._id2edge:
v = net._id2edge[e]._speed
if minV == None or minV > v:
minV = v
if maxV == None or maxV < v:
maxV = v
speeds[e] = v
if options.minV != None: minV = options.minV
if options.maxV != None: maxV = options.maxV
#if options.logColors:
# helpers.logNormalise(colors, maxColorValue)
# else:
# helpers.linNormalise(colors, minColorValue, maxColorValue)
helpers.linNormalise(speeds, minV, maxV)
for e in speeds:
speeds[e] = helpers.getColor(options, speeds[e], 1.)
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, speeds, {}, options)
# drawing the legend, at least for the colors
print "%s -> %s" % (minV, maxV)
sm = matplotlib.cm.ScalarMappable(cmap=get_cmap(options.colormap),
norm=plt.normalize(vmin=minV, vmax=maxV))
# "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
helpers.closeFigure(fig, ax, options)
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",
"--selection",
dest="selection",
metavar="FILE",
help="Defines the selection to read")
optParser.add_option("--selected-width",
dest="selectedWidth",
type="float",
default=1,
help="Defines the width of selected edges")
optParser.add_option("--color",
"--selected-color",
dest="selectedColor",
default='r',
help="Defines the color of selected edges")
optParser.add_option("--edge-width",
dest="defaultWidth",
type="float",
default=.2,
help="Defines the width of not selected edges")
optParser.add_option("--edge-color",
dest="defaultColor",
default='#606060',
help="Defines the color of not selected edges")
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)
# 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.selection == None:
print "Error: a selection to load must be given."
return 1
if options.verbose: print "Reading network from '%s'" % options.net
net = sumolib.net.readNet(options.net)
selection = sumolib.files.selection.read(options.selection)
colors = {}
widths = {}
for e in selection["edge"]:
colors[e] = options.selectedColor
widths[e] = options.selectedWidth
fig, ax = helpers.openFigure(options)
ax.set_aspect("equal", None, 'C')
helpers.plotNet(net, colors, widths, options)
options.nolegend = True
helpers.closeFigure(fig, ax, options)