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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"id": "b1161db2-6ee1-4b74-b1f0-be4ebd7e5aef", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Welcome to JupyROOT 6.25/01\n" | |
] | |
} | |
], | |
"source": [ | |
"import ROOT" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"id": "009fc473-31ab-4c0b-9a57-e8d0d1f68de3", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from dask.distributed import Client\n", | |
"\n", | |
"client = Client(address=\"tcp://127.0.0.1:8990\")\n", | |
"\n", | |
"import ROOT\n", | |
"rdf = ROOT.RDF.Experimental.Distributed.Dask.RDataFrame\n", | |
"\n", | |
"#df = rdf(\"Events\", \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root\", daskclient=client, npartitions=2)\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"id": "dd57f90b-f113-4bcd-af11-b52895d4da59", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"#df.AsNumpy()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"id": "18a02cae-36a2-46de-95fa-a351dcedf3fb", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = rdf(1000, npartitions=2, daskclient=client)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"id": "678aac9f-46f5-45f1-b613-dd6cf2cc1c62", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"\n", | |
"Entries: 1000 \n", | |
"\n" | |
] | |
}, | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Info in <TCanvas::Print>: png file a1.png has been created\n" | |
] | |
} | |
], | |
"source": [ | |
"d1 = df.Define(\"x\", \"rdfentry_\").Define(\"y\", \"rdfentry_ * rdfentry_\")\n", | |
"a1 = d1.Histo1D((\"name\", \"title\", 100, 0, 100), \"y\")\n", | |
"a2 = d1.Count()\n", | |
"\n", | |
"print(\"\\nEntries: \", a2.GetValue(), \"\\n\")\n", | |
"c = ROOT.TCanvas()\n", | |
"a1.Draw()\n", | |
"c.SaveAs(\"a1.png\") " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"id": "336c14ae-6a7d-46c1-b177-5929da137464", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df = rdf(\"Events\", \"root://eospublic.cern.ch//eos/root-eos/cms_opendata_2012_nanoaod/Run2012B_DoubleMuParked.root\", daskclient=client, npartitions=2)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 14, | |
"id": "240b2dda-a03d-4f5e-a9b8-88446fbcafdb", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df_ge4m = df.Filter(\"nMuon>=4\", \"At least four muons\").Histo1D((\"name\", \"title\", 100, 0, 100), \"nMuon\")\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 16, | |
"id": "aa18d5b5-cbc6-411a-ab2e-4242bbe4933e", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stderr", | |
"output_type": "stream", | |
"text": [ | |
"Info in <TCanvas::Print>: png file a2.png has been created\n" | |
] | |
} | |
], | |
"source": [ | |
"c = ROOT.TCanvas()\n", | |
"df_ge4m.Draw()\n", | |
"c.SaveAs(\"a2.png\") " | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 17, | |
"id": "93d75395-3f93-4cfc-bbbf-3bf69447f4a0", | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"df_ge4m_count = df.Filter(\"nMuon>=4\", \"At least four muons\").Count()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 19, | |
"id": "809d5682-e1e1-4812-8a39-0b161eff4420", | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"425182\n" | |
] | |
} | |
], | |
"source": [ | |
"print(df_ge4m_count.GetValue())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"id": "c0946c42-4de0-4f63-9bac-733b5fe24e63", | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"language": "python", | |
"name": "python3" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 3 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython3", | |
"version": "3.6.8" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 5 | |
} |
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