{
"cells": [
{
"cell_type": "markdown",
"id": "2edfdbb9",
"metadata": {},
"source": [
"# df003_profiles\n",
"Use TProfiles with RDataFrame.\n",
"\n",
"This tutorial illustrates how to use TProfiles in combination with the\n",
"RDataFrame. See the documentation of TProfile and TProfile2D to better\n",
"understand the analogy of this code with the example one.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Danilo Piparo (CERN) \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": "67fe67c1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:17.713156Z",
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"shell.execute_reply": "2026-05-19T20:09:18.669419Z"
}
},
"outputs": [],
"source": [
"import ROOT"
]
},
{
"cell_type": "markdown",
"id": "ae487f1f",
"metadata": {},
"source": [
"A simple helper function to fill a test tree: this makes the example\n",
"stand-alone."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "d618c0c6",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:18.679740Z",
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"shell.execute_reply": "2026-05-19T20:09:18.803589Z"
}
},
"outputs": [],
"source": [
"def fill_tree(treeName, fileName):\n",
" d = ROOT.RDataFrame(25000)\n",
" d.Define(\"px\", \"gRandom->Gaus()\")\\\n",
" .Define(\"py\", \"gRandom->Gaus()\")\\\n",
" .Define(\"pz\", \"sqrt(px * px + py * py)\")\\\n",
" .Snapshot(treeName, fileName)"
]
},
{
"cell_type": "markdown",
"id": "b36823df",
"metadata": {},
"source": [
"We prepare an input tree to run on"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "c8136ea8",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:18.812425Z",
"iopub.status.busy": "2026-05-19T20:09:18.812279Z",
"iopub.status.idle": "2026-05-19T20:09:20.593897Z",
"shell.execute_reply": "2026-05-19T20:09:20.593310Z"
}
},
"outputs": [],
"source": [
"fileName = \"df003_profiles_py.root\"\n",
"treeName = \"myTree\"\n",
"fill_tree(treeName, fileName)"
]
},
{
"cell_type": "markdown",
"id": "09bfa943",
"metadata": {},
"source": [
"We read the tree from the file and create a RDataFrame."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "3a3aeca5",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:20.595310Z",
"iopub.status.busy": "2026-05-19T20:09:20.595190Z",
"iopub.status.idle": "2026-05-19T20:09:20.709624Z",
"shell.execute_reply": "2026-05-19T20:09:20.709018Z"
}
},
"outputs": [],
"source": [
"d = ROOT.RDataFrame(treeName, fileName)"
]
},
{
"cell_type": "markdown",
"id": "8b3ee2e8",
"metadata": {},
"source": [
"Create the profiles"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "b631b386",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:20.711093Z",
"iopub.status.busy": "2026-05-19T20:09:20.710975Z",
"iopub.status.idle": "2026-05-19T20:09:20.960941Z",
"shell.execute_reply": "2026-05-19T20:09:20.960548Z"
}
},
"outputs": [],
"source": [
"hprof1d = d.Profile1D((\"hprof1d\", \"Profile of pz versus px\", 64, -4, 4), \"px\", \"py\")\n",
"hprof2d = d.Profile2D((\"hprof2d\", \"Profile of pz versus px and py\", 40, -4, 4, 40, -4, 4, 0, 20), \"px\", \"py\", \"pz\")"
]
},
{
"cell_type": "markdown",
"id": "f9ac02ec",
"metadata": {},
"source": [
"And Draw"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "c58158f9",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:20.967419Z",
"iopub.status.busy": "2026-05-19T20:09:20.967292Z",
"iopub.status.idle": "2026-05-19T20:09:22.151032Z",
"shell.execute_reply": "2026-05-19T20:09:22.150589Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : png file df003_c1.png has been created\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Info in : png file df003_c2.png has been created\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Saved figures to df003_*.png\n"
]
}
],
"source": [
"c1 = ROOT.TCanvas(\"c1\", \"Profile histogram example\", 200, 10, 700, 500)\n",
"hprof1d.Draw()\n",
"c1.SaveAs(\"df003_c1.png\")\n",
"\n",
"c2 = ROOT.TCanvas(\"c2\", \"Profile2D histogram example\", 200, 10, 700, 500)\n",
"hprof2d.Draw()\n",
"c2.SaveAs(\"df003_c2.png\")\n",
"\n",
"print(\"Saved figures to df003_*.png\")"
]
},
{
"cell_type": "markdown",
"id": "1c61faea",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "5aca09e0",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:09:22.158294Z",
"iopub.status.busy": "2026-05-19T20:09:22.158166Z",
"iopub.status.idle": "2026-05-19T20:09:22.343947Z",
"shell.execute_reply": "2026-05-19T20:09:22.343442Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
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"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from ROOT import gROOT \n",
"gROOT.GetListOfCanvases().Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
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