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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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| | 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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