The RDataframe Path

Congratulations on choosing to work with the RDataFrame class. It’s obviously better than The Python Path or The C++ Path. 1

There are a lot of topics listed below. Don’t let that discourage you. Many of the sections below are quite short. 2 Again, the important thing is for you to learn something from doing what exercises you can in the time we have.

• RDataFrame concepts
• Walkthrough: Defining an RDataFrame
• Walkthrough: Making Histograms
• Exercise 2: Modifying a histogram
• Exercise 3: Displaying fit parameters
• Walkthrough: Defining our own variables
• Exercise 4: Plotting a derived variable
• Walkthrough: Apply a cut and a count
• Walkthrough: Making scatterplots
• Exercise 5: Two histograms at the same time
• Exercise 6: Trig functions
• Transformations and Actions
• Lazy Evaluation
• Exercise 7: Picking a physics cut
• Exercise 8: A bit more physics
• Exercise 9: Writing the n-tuple
• Writing your own functions

Footnotes

1

For one thing, the xkcd cartoons are funnier.

2

Many of the sections don’t have any footnotes or cartoons at all, just to make them shorter.