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| df000_simple.C |
| Simple RDataFrame example in C++.
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| df000_simple.py |
| Simple RDataFrame example in Python.
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| df001_introduction.C |
| Basic RDataFrame usage.
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| df001_introduction.py |
| Basic usage of RDataFrame from python.
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| df002_dataModel.C |
| Show how to work with non-flat data models, e.g.
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| df002_dataModel.py |
| Show how to work with non-flat data models, e.g.
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| df003_profiles.C |
| Use TProfiles with RDataFrame.
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| df003_profiles.py |
| Use TProfiles with RDataFrame.
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| df004_cutFlowReport.C |
| Display cut/Filter efficiencies with RDataFrame.
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| df004_cutFlowReport.py |
| Display cut/Filter efficiencies with RDataFrame.
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| df005_fillAnyObject.C |
| Using the generic Fill action.
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| df006_ranges.C |
| Use Range to limit the amount of data processed.
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| df006_ranges.py |
| Use Range to limit the amount of data processed.
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| df007_snapshot.C |
| Write ROOT data with RDataFrame.
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| df007_snapshot.py |
| Write ROOT data with RDataFrame.
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| df008_createDataSetFromScratch.C |
| Create data from scratch with RDataFrame.
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| df008_createDataSetFromScratch.py |
| Create data from scratch with RDataFrame.
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| df009_FromScratchVSTTree.C |
| Compare creation of a ROOT dataset with RDataFrame and TTree.
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| df010_trivialDataSource.C |
| Use the "trivial data source", an example data source implementation.
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| df010_trivialDataSource.py |
| Use the "trivial data source", an example data source implementation.
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| df012_DefinesAndFiltersAsStrings.C |
| Use just-in-time-compiled Filters and Defines for quick prototyping.
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| df012_DefinesAndFiltersAsStrings.py |
| Use just-in-time-compiled Filters and Defines for quick prototyping.
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| df013_InspectAnalysis.C |
| Use callbacks to update a plot and a progress bar during the event loop.
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| df014_CSVDataSource.C |
| Process a CSV file with RDataFrame and the CSV data source.
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| df014_CSVDataSource.py |
| Process a CSV file with RDataFrame and the CSV data source.
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| df015_LazyDataSource.C |
| Use the lazy RDataFrame data source to concatenate computation graphs.
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| df016_vecOps.C |
| Process collections in RDataFrame with the help of RVec.
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| df016_vecOps.py |
| Process collections in RDataFrame with the help of RVec.
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| df017_vecOpsHEP.C |
| Use RVecs to plot the transverse momentum of selected particles.
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| df017_vecOpsHEP.py |
| Use RVecs to plot the transverse momentum of selected particles.
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| df018_customActions.C |
| Implement a custom action to fill THns.
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| df019_Cache.C |
| Cache a processed RDataFrame in memory for further usage.
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| df019_Cache.py |
| Cache a processed RDataFrame in memory for further usage.
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| df020_helpers.C |
| Show usage of RDataFrame's helper tools, contained in ROOT/RDFHelpers.hxx.
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| df021_createTGraph.C |
| Fill a TGraph using RDataFrame.
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| df021_createTGraph.py |
| Fill a TGraph using RDataFrame.
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| df022_useKahan.C |
| Implement a custom action that evaluates a Kahan sum.
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| df023_aggregate.C |
| Use the Aggregate action to specify arbitrary data aggregations.
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| df024_Display.C |
| Use the Display action to inspect entry values.
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| df024_Display.py |
| Use the Display action to inspect entry values.
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| df025_RNode.C |
| Manipulate RDF objects in functions, loops and conditional branches.
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| df026_AsNumpyArrays.py |
| Read data from RDataFrame into Numpy arrays.
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| df027_SQliteDependencyOverVersion.C |
| Plot the ROOT downloads based on the version reading a remote sqlite3 file.
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| df028_SQliteIPLocation.C |
| Plot the location of ROOT downloads reading a remote sqlite3 file.
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| df029_SQlitePlatformDistribution.C |
| Use RDataFrame to display data about ROOT downloads.
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| df030_SQliteVersionsOfROOT.C |
| Read an sqlite3 databases with RDataFrame and plot statistics on ROOT downloads.
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| df031_Stats.C |
| Use the Stats action to extract the statistics of a column.
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| df031_Stats.py |
| Use the Stats action to extract the statistics of a column.
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| df032_MakeNumpyDataFrame.py |
| Read data from Numpy arrays into RDataFrame.
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| df033_Describe.py |
| Get information about the dataframe with the convenience method Describe.
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| df101_h1Analysis.C |
| Show how to express ROOT's standard H1 analysis with RDataFrame.
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| df102_NanoAODDimuonAnalysis.C |
| Show how NanoAOD files can be processed with RDataFrame.
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| df102_NanoAODDimuonAnalysis.py |
| Show how NanoAOD files can be processed with RDataFrame.
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| df103_NanoAODHiggsAnalysis.C |
| An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
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| df103_NanoAODHiggsAnalysis.py |
| An example of complex analysis with RDataFrame: reconstructing the Higgs boson.
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| df103_NanoAODHiggsAnalysis_python.h |
| Header file with functions needed to execute the Python version of the NanoAOD Higgs tutorial.
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| df104_HiggsToTwoPhotons.py |
| The Higgs to two photons analysis from the ATLAS Open Data 2020 release, with RDataFrame.
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| df105_WBosonAnalysis.py |
| The W boson mass analysis from the ATLAS Open Data release of 2020, with RDataFrame.
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| df106_HiggsToFourLeptons.py |
| The Higgs to four lepton analysis from the ATLAS Open Data release of 2020, with RDataFrame.
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| df107_SingleTopAnalysis.py |
| A single top analysis using the ATLAS Open Data release of 2020, with RDataFrame.
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| distrdf001_spark_connection.py |
| Configure a Spark connection and fill two histograms distributedly.
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| distrdf002_dask_connection.py |
| Configure a Dask connection and fill two histograms distributedly.
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