{
"cells": [
{
"cell_type": "markdown",
"id": "c33a8d3c",
"metadata": {},
"source": [
"# df021_createTGraph\n",
"Fill a TGraph using RDataFrame.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Enrico Guiraud, Danilo Piparo (CERN), Massimo Tumolo (Politecnico di Torino) \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:09 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "36560904",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:54.274489Z",
"iopub.status.busy": "2026-05-19T20:09:54.274364Z",
"iopub.status.idle": "2026-05-19T20:09:55.604303Z",
"shell.execute_reply": "2026-05-19T20:09:55.599487Z"
}
},
"outputs": [],
"source": [
"import ROOT\n",
"\n",
"ROOT.ROOT.EnableImplicitMT(2)\n",
"d = ROOT.RDataFrame(160)"
]
},
{
"cell_type": "markdown",
"id": "7288e109",
"metadata": {},
"source": [
"Create a trivial parabola"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "922987d6",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:55.623323Z",
"iopub.status.busy": "2026-05-19T20:09:55.623151Z",
"iopub.status.idle": "2026-05-19T20:09:55.916488Z",
"shell.execute_reply": "2026-05-19T20:09:55.915931Z"
}
},
"outputs": [],
"source": [
"dd = d.Alias(\"x\", \"rdfentry_\").Define(\"y\", \"x*x\")\n",
"\n",
"graph = dd.Graph(\"x\", \"y\")"
]
},
{
"cell_type": "markdown",
"id": "bbb5becc",
"metadata": {},
"source": [
"This tutorial is ran with multithreading enabled. The order in which points are inserted is not known, so to have a meaningful representation points are sorted."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "437de197",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:55.927235Z",
"iopub.status.busy": "2026-05-19T20:09:55.927101Z",
"iopub.status.idle": "2026-05-19T20:09:57.035439Z",
"shell.execute_reply": "2026-05-19T20:09:57.035017Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : png file df021_createTGraph.png has been created\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Saved figure to df021_createTGraph.png\n"
]
}
],
"source": [
"c = ROOT.TCanvas()\n",
"graph.Sort()\n",
"graph.Draw(\"APL\")\n",
"c.SaveAs(\"df021_createTGraph.png\")\n",
"\n",
"print(\"Saved figure to df021_createTGraph.png\")"
]
},
{
"cell_type": "markdown",
"id": "da9a8af4",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d772246a",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:57.036779Z",
"iopub.status.busy": "2026-05-19T20:09:57.036648Z",
"iopub.status.idle": "2026-05-19T20:09:57.240226Z",
"shell.execute_reply": "2026-05-19T20:09:57.239446Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
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"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from ROOT import gROOT \n",
"gROOT.GetListOfCanvases().Draw()"
]
}
],
"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",
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}
},
"nbformat": 4,
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}