PyRDF : The Python ROOT DataFrame Library

A pythonic wrapper around ROOT’s RDataFrame with support for distributed execution.

Sample usage:

import PyRDF, ROOT
PyRDF.use('spark', {'npartitions':4})

df = PyRDF.RDataFrame("data", ['https://root.cern/files/teaching/CMS_Open_Dataset.root',])

etaCutStr = "fabs(eta1) < 2.3"
df_f = df.Filter(etaCutStr)

df_histogram = df_f.Histo1D("eta1")

canvas = ROOT.TCanvas()
df_histogram.Draw()
canvas.Draw()

Contents:

• The PyRDF API reference
  • The CallableGenerator module
  • The Node module
  • The Operation module
  • The Proxy module
  • The RDataFrame module
• PyRDF’s supported backends
  • The parent backend class
  • The local backend
  • The distributed backend parent class
  • The Spark distributed backend
• PyRDF’s utility functions

Indices and tables

• Index

• Module Index

• Search Page