subModule Namespace Reference

Functions
def	plot

Function Documentation

def subModule.plot	(		MillePedeUser,
			alignables,
			mode,
			struct,
			parentPlot,
			config
	)

Definition at line 18 of file subModule.py.

References funct.abs(), HcalObjRepresent.Fill(), style.identification(), reco.if(), bookConverter.max, and MultipleCompare.Rebin().

Referenced by bigModule.plot().

def plot(MillePedeUser, alignables, mode, struct, parentPlot, config):
    logger = logging.getLogger("mpsvalidate")
    
    # skip empty
    number = 0
    for i in range(3):
        if(parentPlot.histo[i].GetEntries() == 0):
            number += 1
    if (number == 3):
        return

    # number of bins to start
    numberOfBins = 10000

    ######################################################################
    # initialize data hierarchy
    # plots[subStrucut]
    #

    plots = []

    # initialize histograms
    for subStructNumber, subStruct in enumerate(struct.get_children()):
        plots.append(PlotData(mode))

        # use a copy for shorter name
        plot = plots[subStructNumber]

        for i in range(3):
            if (mode == "xyz"):
                plot.histo.append(TH1F("{0} {1} {2}".format(struct.get_name() + " " + subStruct.get_name(), plot.xyz[
                                  i], mode), "Parameter {0}".format(plot.xyz[i]), numberOfBins, -1000, 1000))
            else:
                plot.histo.append(TH1F("{0} {1} {2}".format(struct.get_name() + " " + subStruct.get_name(), plot.xyz[
                                  i], mode), "Parameter {0}".format(plot.xyz[i]), numberOfBins, -0.1, 0.1))

            plot.histo[i].SetLineColor(6)
            plot.histo[i].SetStats(0)

        # add labels
        plot.title = TPaveLabel(
            0.1, 0.8, 0.9, 0.9, "Module: {0} {1}".format(struct.get_name(), mode))
        plot.text = TPaveText(0.05, 0.1, 0.95, 0.75)
        plot.text.SetTextAlign(12)
        plot.text.SetTextSizePixels(20)

        # save copy
        plots[subStructNumber] = plot

    ######################################################################
    # fill histogram
    #

    for line in MillePedeUser:
        # is module ?
        if (line.ObjId == 1):
            for subStructNumber, subStruct in enumerate(struct.get_children()):
                # use a copy for shorter name
                plot = plots[subStructNumber]

                # module in struct ?
                if (subStruct.contains_detid(line.Id)):
                    for i in range(3):
                        if (abs(line.Par[plot.data[i]]) != 999999):
                            # transform xyz data from cm to #mu m
                            if (mode == "xyz"):
                                plot.histo[i].Fill(
                                    10000 * line.Par[plot.data[i]])
                            else:
                                plot.histo[i].Fill(line.Par[plot.data[i]])

                # save copy
                plots[subStructNumber] = plot

    ######################################################################
    # find the best range
    #
    for subStructNumber, subStruct in enumerate(struct.get_children()):
        # use a copy for shorter name
        plot = plots[subStructNumber]
        for i in range(3):
            if (plot.histo[i].GetEntries() != 0 and plot.histo[i].GetStdDev() != 0):
                # use binShift of the hole structure
                binShift = parentPlot.usedRange[i]

                # count entries which are not shown anymore
                # bin 1 to begin of histogram
                for j in range(1, numberOfBins / 2 - binShift):
                    plot.hiddenEntries[i] += plot.histo[i].GetBinContent(j)
                # from the end of shown bins to the end of histogram
                for j in range(numberOfBins / 2 + binShift, plot.histo[i].GetNbinsX()):
                    plot.hiddenEntries[i] += plot.histo[i].GetBinContent(j)

                # merge bins, ca. 100 should be visible in the resulting plot
                mergeNumberBins = binShift
                # skip empty histogram
                if (mergeNumberBins != 0):
                    # the 2*maxBinShift bins should shrink to 100 bins
                    mergeNumberBins = int(
                        2. * mergeNumberBins / config.numberofbins)
                    # the total number of bins should be dividable by the bins
                    # shrinked together
                    if (mergeNumberBins == 0):
                        mergeNumberBins = 1
                    while (numberOfBins % mergeNumberBins != 0 and mergeNumberBins != 1):
                        mergeNumberBins -= 1

                    # Rebin and save new created histogram and axis
                    plot.histo[i] = plot.histo[i].Rebin(mergeNumberBins)

                    # set view range. it is important to note that the number of bins have changed with the rebinning
                    # the total number and the number of shift must be
                    # corrected with / mergeNumberBins
                    plot.histo[i].GetXaxis().SetRange(int(numberOfBins / (2 * mergeNumberBins) - binShift /
                                                          mergeNumberBins), int(numberOfBins / (2 * mergeNumberBins) + binShift / mergeNumberBins))

        # save copy
        plots[subStructNumber] = plot

    ######################################################################
    # make the plots
    #

    canvas = TCanvas("SubStruct_{0}_{1}".format(
        struct.get_name(), mode), "Parameter", 300, 0, 800, 600)
    canvas.Divide(2, 2)

    canvas.cd(1)
    parentPlot.title.Draw()

    legend = TLegend(0.05, 0.1, 0.95, 0.75)

    for i in range(3):
        canvas.cd(i + 2)

        # find y maximum
        maximum = []

        if (parentPlot.histo[i].GetEntries() == 0):
            continue

        # normalize parent
        parentPlot.histo[i].Scale(1. / parentPlot.histo[i].Integral())
        maximum.append(parentPlot.histo[i].GetMaximum())

        for subStructNumber, subStruct in enumerate(struct.get_children()):
            # use a copy for shorter name
            plot = plots[subStructNumber]

            if (plot.histo[i].GetEntries() > 0):
                plot.histo[i].Scale(1. / plot.histo[i].Integral())
                maximum.append(plot.histo[i].GetMaximum())

            # save copy
            plots[subStructNumber] = plot

        # set range and plot
        parentPlot.histo[i].GetYaxis().SetRangeUser(0., 1.1 * max(maximum))
        parentPlot.histo[i].SetYTitle("normalized")
        parentPlot.histo[i].Draw()

        for subStructNumber, subStruct in enumerate(struct.get_children()):
            # use a copy for shorter name
            plot = plots[subStructNumber].histo[i]

            plot.SetLineColorAlpha(subStructNumber + 2, 0.5)
            plot.Draw("same")
            if (i == 0):
                legend.AddEntry(plot, subStruct.get_name(), "l")

    canvas.cd(1)

    legend.Draw()
    # draw identification
    ident = identification(config)
    ident.Draw()

    canvas.Update()

    # save as pdf
    canvas.Print(
        "{0}/plots/pdf/subModules_{1}_{2}.pdf".format(config.outputPath, mode, struct.get_name()))

    # export as png
    image = TImage.Create()
    image.FromPad(canvas)
    image.WriteImage(
        "{0}/plots/png/subModules_{1}_{2}.png".format(config.outputPath, mode, struct.get_name()))

    # add to output list
    output = OutputData(plottype="subMod", name=struct.get_name(), number=subStructNumber + 1,
                        parameter=mode, filename="subModules_{0}_{1}".format(mode, struct.get_name()))
    config.outputList.append(output)