Mu2e TrkAna plotter

This class allows you to produce plots of the variable stored in TrkAna TTrees. The instantion requires a dictionary with a pandas dataframe. You can convert a ROOT TTree into a pandas dataframe using uproot:

import uproot
file = uproot.open("trkana-mc.root")
trkananeg = file["TrkAnaNeg"]["trkana"]

df = trkananeg.pandas.df(flatten=False)

The plotter class is then instantied as:

import plotter

samples = {'mc': df}
weights = {'mc': 1}

my_plotter = plotter.Plotter(samples, weights)

The main method is plot_variable which can manipulate different variables and query the dataframe. It is also possible to categorize the events according to the PDG code (demcgen_pdg) or the GenID code (demcgen_gen).

This example shows how to plot the reconstructed momentum categorized by GenID code:

fig, ax = plt.subplots(1, 1)
my_plotter.plot_variable(ax,
                         "deent.mom",
                         title="Reco. momentum [GeV]",
                         cat_var="demcgen.gen",
                         x_range=(95,110),
                         bins=30)
ax.set_yscale('log')
ax.set_ylim(bottom=0.5, top=5e5)

More information can be found in Example.ipynb.