Preselection: Tool for making yield tables

[sam-may]

Implement a script (e.g. make_tables.py) that takes a dataframe object (output from the looper) as input and prints out various yield tables.

Prints out yields & uncertainties for each process, total background (i.e. sum of all background MC), and ratio of each process to the total background yield.

Ideally the following options would be configurable:

• Input dataframe
• List of samples to consider as background
• List of samples to consider as signal (just ggTauTau for now, but will be nice to have this easily configurable in the future)
• Option to scale non-resonant background yields to m_gg mass window, ~[122,128], for more fair comparison with signal and resonant backgrounds
• Option to make tables separately by year
• Options to apply cuts based on columns saved in the dataframe (e.g. print yields after cutting on some value of m_tautau). The easiest way to do this would probably be to supply a json file with a list of cuts as an input, then the script makes yield tables for each cut listed in the config file.

Should go in a directory tables under the Preselection dir.

[bsathian]

I'll try to squeeze this in as an extension to the plotting script