dataframe Directory Reference

Directory dependency graph for dataframe:

Files
file	df000_simple.C [code]
	Simple RDataFrame example in C++.
file	df000_simple.py [code]
	Simple RDataFrame example in Python.
file	df001_introduction.C [code]
	Basic RDataFrame usage.
file	df001_introduction.py [code]
	Basic usage of RDataFrame from python.
file	df002_dataModel.C [code]
	Show how to work with non-flat data models, e.g.
file	df002_dataModel.py [code]
	Show how to work with non-flat data models, e.g.
file	df003_profiles.C [code]
	Use TProfiles with RDataFrame.
file	df003_profiles.py [code]
	Use TProfiles with RDataFrame.
file	df004_cutFlowReport.C [code]
	Display cut/Filter efficiencies with RDataFrame.
file	df004_cutFlowReport.py [code]
	Display cut/Filter efficiencies with RDataFrame.
file	df005_fillAnyObject.C [code]
	Using the generic Fill action.
file	df006_ranges.C [code]
	Use Range to limit the amount of data processed.
file	df006_ranges.py [code]
	Use Range to limit the amount of data processed.
file	df007_snapshot.C [code]
	Write ROOT data with RDataFrame.
file	df007_snapshot.py [code]
	Write ROOT data with RDataFrame.
file	df008_createDataSetFromScratch.C [code]
	Create data from scratch with RDataFrame.
file	df008_createDataSetFromScratch.py [code]
	Create data from scratch with RDataFrame.
file	df009_FromScratchVSTTree.C [code]
	Compare creation of a ROOT dataset with RDataFrame and TTree.
file	df010_trivialDataSource.C [code]
	Use the "trivial data source", an example data source implementation.
file	df010_trivialDataSource.py [code]
	Use the "trivial data source", an example data source implementation.
file	df012_DefinesAndFiltersAsStrings.C [code]
	Use just-in-time-compiled Filters and Defines for quick prototyping.
file	df012_DefinesAndFiltersAsStrings.py [code]
	Use just-in-time-compiled Filters and Defines for quick prototyping.
file	df013_InspectAnalysis.C [code]
	Use callbacks to update a plot and a progress bar during the event loop.
file	df014_CSVDataSource.C [code]
	Process a CSV file with RDataFrame and the CSV data source.
file	df014_CSVDataSource.py [code]
	Process a CSV file with RDataFrame and the CSV data source.
file	df015_LazyDataSource.C [code]
	Use the lazy RDataFrame data source to concatenate computation graphs.
file	df016_vecOps.C [code]
	Process collections in RDataFrame with the help of RVec.
file	df016_vecOps.py [code]
	Process collections in RDataFrame with the help of RVec.
file	df017_vecOpsHEP.C [code]
	Use RVecs to plot the transverse momentum of selected particles.
file	df017_vecOpsHEP.py [code]
	Use RVecs to plot the transverse momentum of selected particles.
file	df018_customActions.C [code]
	Implement a custom action to fill THns.
file	df019_Cache.C [code]
	Cache a processed RDataFrame in memory for further usage.
file	df019_Cache.py [code]
	Cache a processed RDataFrame in memory for further usage.
file	df020_helpers.C [code]
	Show usage of RDataFrame's helper tools, contained in ROOT/RDFHelpers.hxx.
file	df021_createTGraph.C [code]
	Fill a TGraph using RDataFrame.
file	df021_createTGraph.py [code]
	Fill a TGraph using RDataFrame.
file	df022_useKahan.C [code]
	Implement a custom action that evaluates a Kahan sum.
file	df023_aggregate.C [code]
	Use the Aggregate action to specify arbitrary data aggregations.
file	df024_Display.C [code]
	Use the Display action to inspect entry values.
file	df024_Display.py [code]
	Use the Display action to inspect entry values.
file	df025_RNode.C [code]
	Manipulate RDF objects in functions, loops and conditional branches.
file	df026_AsNumpyArrays.py [code]
	Read data from RDataFrame into Numpy arrays.
file	df027_SQliteDependencyOverVersion.C [code]
	Plot the ROOT downloads based on the version reading a remote sqlite3 file.
file	df028_SQliteIPLocation.C [code]
	Plot the location of ROOT downloads reading a remote sqlite3 file.
file	df029_SQlitePlatformDistribution.C [code]
	Use RDataFrame to display data about ROOT downloads.
file	df030_SQliteVersionsOfROOT.C [code]
	Read an sqlite3 databases with RDataFrame and plot statistics on ROOT downloads.
file	df031_Stats.C [code]
	Use the Stats action to extract the statistics of a column.
file	df031_Stats.py [code]
	Use the Stats action to extract the statistics of a column.
file	df032_RDFFromNumpy.py [code]
	Read data from Numpy arrays into RDataFrame.
file	df033_Describe.py [code]
	Get information about the dataframe with the convenience method Describe.
file	df034_SaveGraph.C [code]
	Basic SaveGraph usage.
file	df034_SaveGraph.py [code]
	Basic SaveGraph usage.
file	df101_h1Analysis.C [code]
	Show how to express ROOT's standard H1 analysis with RDataFrame.
file	df102_NanoAODDimuonAnalysis.C [code]
	Show how NanoAOD files can be processed with RDataFrame.
file	df102_NanoAODDimuonAnalysis.py [code]
	Show how NanoAOD files can be processed with RDataFrame.
file	df103_NanoAODHiggsAnalysis.C [code]
	An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
file	df103_NanoAODHiggsAnalysis.py [code]
	An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
file	df103_NanoAODHiggsAnalysis_python.h [code]
	Header file with functions needed to execute the Python version of the NanoAOD Higgs tutorial.
file	df104_HiggsToTwoPhotons.py [code]
	The Higgs to two photons analysis from the ATLAS Open Data 2020 release, with RDataFrame.
file	df105_WBosonAnalysis.py [code]
	The W boson mass analysis from the ATLAS Open Data release of 2020, with RDataFrame.
file	df106_HiggsToFourLeptons.py [code]
	The Higgs to four lepton analysis from the ATLAS Open Data release of 2020, with RDataFrame.
file	df107_SingleTopAnalysis.py [code]
	A single top analysis using the ATLAS Open Data release of 2020, with RDataFrame.
file	distrdf001_spark_connection.py [code]
	Configure a Spark connection and fill two histograms distributedly.
file	distrdf002_dask_connection.py [code]
	Configure a Dask connection and fill two histograms distributedly.