{
"cells": [
{
"cell_type": "markdown",
"id": "0a9fb2f4",
"metadata": {},
"source": [
"# ntuple1\n",
"Ntuple drawing example.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Wim Lavrijsen \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:17 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "f9427c26",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:36.787008Z",
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"shell.execute_reply": "2026-05-19T20:17:37.793540Z"
}
},
"outputs": [],
"source": [
"from ROOT import TCanvas, TPad, TFile, TPaveText\n",
"from ROOT import gBenchmark, gStyle, gROOT\n",
"\n",
"c1 = TCanvas('c1','The Ntuple canvas',200,10,700,780)\n",
"\n",
"gBenchmark.Start('ntuple1')"
]
},
{
"cell_type": "markdown",
"id": "10eb363b",
"metadata": {},
"source": [
"Connect ROOT histogram/ntuple demonstration file\n",
"generated by example hsimple.C."
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "301e72ec",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:37.795843Z",
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"shell.execute_reply": "2026-05-19T20:17:37.939214Z"
}
},
"outputs": [],
"source": [
"f1 = TFile('py-hsimple.root')"
]
},
{
"cell_type": "markdown",
"id": "6375cf16",
"metadata": {},
"source": [
"Inside this canvas, we create 4 pads"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "385c6b62",
"metadata": {
"collapsed": false,
"execution": {
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"shell.execute_reply": "2026-05-19T20:17:38.064072Z"
}
},
"outputs": [],
"source": [
"pad1 = TPad('pad1','This is pad1',0.02,0.52,0.48,0.98,21)\n",
"pad2 = TPad('pad2','This is pad2',0.52,0.52,0.98,0.98,21)\n",
"pad3 = TPad('pad3','This is pad3',0.02,0.02,0.48,0.48,21)\n",
"pad4 = TPad('pad4','This is pad4',0.52,0.02,0.98,0.48,1)\n",
"pad1.Draw()\n",
"pad2.Draw()\n",
"pad3.Draw()\n",
"pad4.Draw()"
]
},
{
"cell_type": "markdown",
"id": "83894e87",
"metadata": {},
"source": [
"Change default style for the statistics box"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "deadcfde",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.066345Z",
"iopub.status.busy": "2026-05-19T20:17:38.066225Z",
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"shell.execute_reply": "2026-05-19T20:17:38.178158Z"
}
},
"outputs": [],
"source": [
"gStyle.SetStatW(0.30)\n",
"gStyle.SetStatH(0.20)\n",
"gStyle.SetStatColor(42)"
]
},
{
"cell_type": "markdown",
"id": "ed82b93b",
"metadata": {},
"source": [
"Display a function of one ntuple column imposing a condition\n",
"on another column."
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "26806b24",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.180452Z",
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"shell.execute_reply": "2026-05-19T20:17:38.420000Z"
}
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"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
\n",
"\n",
"\n",
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"pad1.cd()\n",
"pad1.SetGrid()\n",
"pad1.SetLogy()\n",
"pad1.GetFrame().SetFillColor(15)\n",
"ntuple = gROOT.FindObject('ntuple')\n",
"ntuple.SetLineColor(\"black\")\n",
"ntuple.SetFillStyle(1001)\n",
"ntuple.SetFillColor(45)\n",
"ntuple.Draw('3*px+2','px**2+py**2>1')\n",
"ntuple.SetFillColor(38)\n",
"ntuple.Draw('2*px+2','pz>2','same')\n",
"ntuple.SetFillColor(5)\n",
"ntuple.Draw('1.3*px+2','(px^2+py^2>4) && py>0','same')\n",
"c1.Update()"
]
},
{
"cell_type": "markdown",
"id": "a102305d",
"metadata": {},
"source": [
"Display the profile of two columns\n",
"The profile histogram produced is saved in the current directory with\n",
"the name hprofs"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "e138aa7a",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.421935Z",
"iopub.status.busy": "2026-05-19T20:17:38.421811Z",
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"shell.execute_reply": "2026-05-19T20:17:38.679868Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"****************************************\n",
"Minimizer is Linear / Migrad\n",
"Chi2 = 9.96111\n",
"NDf = 73\n",
"p0 = 1.05493 +/- 0.215743 \n",
"p1 = 0.00715681 +/- 0.0305744 \n",
"p2 = 0.941045 +/- 0.0233756 \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n",
"Error in : TFitResult is empty - use the fit option S\n"
]
},
{
"data": {
"text/plain": [
""
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"pad2.cd()\n",
"pad2.SetGrid()\n",
"pad2.GetFrame().SetFillColor(32)\n",
"ntuple.Draw('pz:px>>hprofs','','goffprofs')\n",
"hprofs = gROOT.FindObject('hprofs')\n",
"hprofs.SetMarkerColor(5)\n",
"hprofs.SetMarkerSize(0.7)\n",
"hprofs.SetMarkerStyle(21)\n",
"hprofs.Fit('pol2')"
]
},
{
"cell_type": "markdown",
"id": "1bb0a507",
"metadata": {},
"source": [
"Get pointer to fitted function and modify its attributes"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "c30a974e",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.682126Z",
"iopub.status.busy": "2026-05-19T20:17:38.682006Z",
"iopub.status.idle": "2026-05-19T20:17:38.839468Z",
"shell.execute_reply": "2026-05-19T20:17:38.838940Z"
}
},
"outputs": [],
"source": [
"fpol2 = hprofs.GetFunction('pol2')\n",
"fpol2.SetLineWidth(4)\n",
"fpol2.SetLineColor(2)\n",
"c1.Update()"
]
},
{
"cell_type": "markdown",
"id": "c9484b76",
"metadata": {},
"source": [
"Display a scatter plot of two columns with a selection.\n",
"Superimpose the result of another cut with a different marker color"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d6fdbd69",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.840795Z",
"iopub.status.busy": "2026-05-19T20:17:38.840673Z",
"iopub.status.idle": "2026-05-19T20:17:38.992959Z",
"shell.execute_reply": "2026-05-19T20:17:38.992419Z"
}
},
"outputs": [],
"source": [
"pad3.cd()\n",
"pad3.GetFrame().SetFillColor(38)\n",
"pad3.GetFrame().SetBorderSize(8)\n",
"ntuple.SetMarkerColor(1)\n",
"ntuple.Draw('py:px','pz>1')\n",
"ntuple.SetMarkerColor(2)\n",
"ntuple.Draw('py:px','pz<1','same')\n",
"c1.Update()"
]
},
{
"cell_type": "markdown",
"id": "83d22d41",
"metadata": {},
"source": [
"Display a 3-D scatter plot of 3 columns. Superimpose a different selection."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "4ea8da8e",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:38.995329Z",
"iopub.status.busy": "2026-05-19T20:17:38.995211Z",
"iopub.status.idle": "2026-05-19T20:17:39.180664Z",
"shell.execute_reply": "2026-05-19T20:17:39.180091Z"
}
},
"outputs": [],
"source": [
"pad4.cd()\n",
"ntuple.Draw('pz:py:px','(pz<10 && pz>6)+(pz<4 && pz>3)')\n",
"ntuple.SetMarkerColor(4)\n",
"ntuple.Draw('pz:py:px','pz<6 && pz>4','same')\n",
"ntuple.SetMarkerColor(5)\n",
"ntuple.Draw('pz:py:px','pz<4 && pz>3','same')\n",
"l4 = TPaveText(-0.9,0.5,0.9,0.95)\n",
"l4.SetFillColor(42)\n",
"l4.SetTextAlign(12)\n",
"l4.AddText('You can interactively rotate this view in 2 ways:')\n",
"l4.AddText(' - With the RotateCube in clicking in this pad')\n",
"l4.AddText(' - Selecting View with x3d in the View menu')\n",
"l4.Draw()"
]
},
{
"cell_type": "markdown",
"id": "e2956927",
"metadata": {},
"source": [
"done"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ea920b54",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:39.183201Z",
"iopub.status.busy": "2026-05-19T20:17:39.183078Z",
"iopub.status.idle": "2026-05-19T20:17:39.336229Z",
"shell.execute_reply": "2026-05-19T20:17:39.335696Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"ntuple1 : Real Time = 1.57 seconds Cpu Time = 0.76 seconds\n"
]
}
],
"source": [
"c1.cd()\n",
"c1.Update()\n",
"gStyle.SetStatColor(19)\n",
"gBenchmark.Show('ntuple1')\n",
"\n",
"if (f1.IsOpen()):\n",
" f1.Close()"
]
},
{
"cell_type": "markdown",
"id": "c87c9235",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "0ff554f1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:17:39.338359Z",
"iopub.status.busy": "2026-05-19T20:17:39.338235Z",
"iopub.status.idle": "2026-05-19T20:17:39.481515Z",
"shell.execute_reply": "2026-05-19T20:17:39.480987Z"
}
},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
\n",
"\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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