MPF.efficiencyPlot module

Plot the ratio of histograms where the numerator is assumed to be filled with a subset of the events of the denominator.

The first registered histogram is the denominator, all further histograms are treated as numerators.

Example

#!/usr/bin/env python

import ROOT
from MPF.efficiencyPlot import EfficiencyPlot
from MPF.atlasStyle import setAtlasStyle

setAtlasStyle()

passed = ROOT.TH1F("passed", "", 50, 100, 300)
total = ROOT.TH1F("total", "", 50, 100, 300)
passed.Sumw2()
total.Sumw2()
for i in range(10000):
    val = ROOT.gRandom.Gaus(100, 200)
    shift = ROOT.gRandom.Gaus(0, 20)
    total.Fill(val)
    if (val+shift) > 200:
        passed.Fill(val)

p = EfficiencyPlot(ratioMode="bayes")
p.registerHist(total)
p.registerHist(passed, legendTitle="Efficiency")
p.saveAs("plot.pdf")

class MPF.efficiencyPlot.EfficiencyPlot(ratioTitle='Data / MC', **kwargs)

Bases: MPF.plotStore.PlotStore

Parameters:

• doDataMCRatio – if both data and MC is added, also plot the data/MC ratio (default: False)
• ratioModeDataMC – ratioMode if data/MC is to be drawn default: “hist”
• ratioTitle – Title for the ratio pad if data/MC ratio is shown (default: “Data / MC”)

Overwrites the defaults for the following PlotStore() parameters:

Parameters:

• ratioMode – default: “binomial”
• drawRatioLine – default: False
• yTitle – default: #epsilon

For further options see PlotStore()

registerHist(hist, **kwargs)

Overwrites the defaults for the following registerHist() parameters:

Parameters:

• hide – default: True
• style – default: “signal”
• markerStyle – default: 20

For further options see registerHist()

saveAs(path, **kwargs)

Save the canvas. Arguments are passed to MPF.canvas.Canvas.saveAs()