dataframe Directory Reference

Directory dependency graph for dataframe:

Files
	df000_simple.C
	Simple RDataFrame example in C++.
	df000_simple.py
	Simple RDataFrame example in Python.
	df001_introduction.C
	Basic RDataFrame usage.
	df001_introduction.py
	Basic usage of RDataFrame from python.
	df002_dataModel.C
	Show how to work with non-flat data models, e.g.
	df002_dataModel.py
	Show how to work with non-flat data models, e.g.
	df003_profiles.C
	Use TProfiles with RDataFrame.
	df003_profiles.py
	Use TProfiles with RDataFrame.
	df004_cutFlowReport.C
	Display cut/Filter efficiencies with RDataFrame.
	df004_cutFlowReport.py
	Display cut/Filter efficiencies with RDataFrame.
	df005_fillAnyObject.C
	Using the generic Fill action.
	df006_ranges.C
	Use Range to limit the amount of data processed.
	df006_ranges.py
	Use Range to limit the amount of data processed.
	df007_snapshot.C
	Write ROOT data with RDataFrame.
	df007_snapshot.py
	Write ROOT data with RDataFrame.
	df008_createDataSetFromScratch.C
	Create data from scratch with RDataFrame.
	df008_createDataSetFromScratch.py
	Create data from scratch with RDataFrame.
	df009_FromScratchVSTTree.C
	Compare creation of a ROOT dataset with RDataFrame and TTree.
	df010_trivialDataSource.C
	Use the "trivial data source", an example data source implementation.
	df010_trivialDataSource.py
	Use the "trivial data source", an example data source implementation.
	df012_DefinesAndFiltersAsStrings.C
	Use just-in-time-compiled Filters and Defines for quick prototyping.
	df012_DefinesAndFiltersAsStrings.py
	Use just-in-time-compiled Filters and Defines for quick prototyping.
	df013_InspectAnalysis.C
	Use callbacks to update a plot and a progress bar during the event loop.
	df014_CSVDataSource.C
	Process a CSV file with RDataFrame and the CSV data source.
	df014_CSVDataSource.py
	Process a CSV file with RDataFrame and the CSV data source.
	df015_LazyDataSource.C
	Use the lazy RDataFrame data source to concatenate computation graphs.
	df016_vecOps.C
	Process collections in RDataFrame with the help of RVec.
	df016_vecOps.py
	Process collections in RDataFrame with the help of RVec.
	df017_vecOpsHEP.C
	Use RVecs to plot the transverse momentum of selected particles.
	df017_vecOpsHEP.py
	Use RVecs to plot the transverse momentum of selected particles.
	df018_customActions.C
	Implement a custom action to fill THns.
	df019_Cache.C
	Cache a processed RDataFrame in memory for further usage.
	df019_Cache.py
	Cache a processed RDataFrame in memory for further usage.
	df020_helpers.C
	Show usage of RDataFrame's helper tools, contained in ROOT/RDFHelpers.hxx.
	df021_createTGraph.C
	Fill a TGraph using RDataFrame.
	df021_createTGraph.py
	Fill a TGraph using RDataFrame.
	df022_useKahan.C
	Implement a custom action that evaluates a Kahan sum.
	df023_aggregate.C
	Use the Aggregate action to specify arbitrary data aggregations.
	df024_Display.C
	Use the Display action to inspect entry values.
	df024_Display.py
	Use the Display action to inspect entry values.
	df025_RNode.C
	Manipulate RDF objects in functions, loops and conditional branches.
	df026_AsNumpyArrays.py
	Read data from RDataFrame into Numpy arrays.
	df027_SQliteDependencyOverVersion.C
	Plot the ROOT downloads based on the version reading a remote sqlite3 file.
	df028_SQliteIPLocation.C
	Plot the location of ROOT downloads reading a remote sqlite3 file.
	df029_SQlitePlatformDistribution.C
	Use RDataFrame to display data about ROOT downloads.
	df030_SQliteVersionsOfROOT.C
	Read an sqlite3 databases with RDataFrame and plot statistics on ROOT downloads.
	df031_Stats.C
	Use the Stats action to extract the statistics of a column.
	df031_Stats.py
	Use the Stats action to extract the statistics of a column.
	df032_RDFFromNumpy.py
	Read data from Numpy arrays into RDataFrame.
	df033_Describe.py
	Get information about the dataframe with the convenience method Describe.
	df034_SaveGraph.C
	Basic SaveGraph usage.
	df034_SaveGraph.py
	Basic SaveGraph usage.
	df035_RDFFromPandas.py
	Read data from Pandas Data Frame into RDataFrame.
	df036_missingBranches.C
	df036_missingBranches.py
	df037_TTreeEventMatching.C
	df037_TTreeEventMatching.py
	df038_NumbaDeclare.py
	This tutorial illustrates how PyROOT supports declaring C++ callables from Python callables making them, for example, usable with RDataFrame.
	df039_RResultPtr_basics.C
	Usage of RResultPtr.
	df040_RResultPtr_lifetimeManagement.C
	Usage of RResultPtr: Lifetime management.
	df101_h1Analysis.C
	Show how to express ROOT's standard H1 analysis with RDataFrame.
	df102_NanoAODDimuonAnalysis.C
	Show how NanoAOD files can be processed with RDataFrame.
	df102_NanoAODDimuonAnalysis.py
	Show how NanoAOD files can be processed with RDataFrame.
	df103_NanoAODHiggsAnalysis.C
	An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
	df103_NanoAODHiggsAnalysis.py
	An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
	df103_NanoAODHiggsAnalysis_python.h
	Header file with functions needed to execute the Python version of the NanoAOD Higgs tutorial.
	df104_HiggsToTwoPhotons.py
	The Higgs to two photons analysis from the ATLAS Open Data 2020 release, with RDataFrame.
	df105_WBosonAnalysis.py
	The W boson mass analysis from the ATLAS Open Data release of 2020, with RDataFrame.
	df106_HiggsToFourLeptons.C
	The Higgs to four lepton analysis from the ATLAS Open Data release of 2020, with RDataFrame.
	df106_HiggsToFourLeptons.py
	The Higgs to four lepton analysis from the ATLAS Open Data release of 2020, with RDataFrame.
	df107_SingleTopAnalysis.py
	A single top analysis using the ATLAS Open Data release of 2020, with RDataFrame.
	distrdf001_spark_connection.py
	Configure a Spark connection and fill two histograms distributedly.
	distrdf002_dask_connection.py
	Configure a Dask connection and fill two histograms distributedly.
	distrdf003_live_visualization.py
	Configure a Dask connection and visualize the filling of a 1D and 2D histograms distributedly.
	distrdf004_dask_lxbatch.py