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