Example #1
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")
    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
Example #3
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
Example #4
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