{
"cells": [
{
"cell_type": "markdown",
"id": "592a4aa0",
"metadata": {},
"source": [
"# hist010_TH1_two_scales\n",
"Example of macro illustrating how to superimpose two histograms\n",
"with different scales in the \"same\" pad.\n",
"Inspired by work of Rene Brun.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Alberto Ferro \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, May 19, 2026 at 08:12 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "aba4aa39",
"metadata": {
"collapsed": false,
"execution": {
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"shell.execute_reply": "2026-05-19T20:12:06.846777Z"
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"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"\n",
"
\n",
"\n",
"\n",
"\n"
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""
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"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import ROOT\n",
"import numpy as np\n",
"\n",
"c1 = ROOT.TCanvas(\"c1\",\"hists with different scales\",600,400)\n",
"\n",
"ROOT.gStyle.SetOptStat(False)\n",
"\n",
"h1 = ROOT.TH1F(\"h1\",\"my histogram\",100,-3,3)\n",
"\n",
"h1.Fill(np.array([ROOT.gRandom.Gaus(0, 1) for _ in range(10000)]))\n",
"\n",
"h1.Draw()\n",
"c1.Update()\n",
"\n",
"hint1 = ROOT.TH1F(\"hint1\",\"h1 bins integral\",100,-3,3)\n",
"\n",
"sum = 0\n",
"for i in range(1,101) :\n",
" sum += h1.GetBinContent(i)\n",
" hint1.SetBinContent(i,sum)\n",
"\n",
"rightmax = 1.1*hint1.GetMaximum()\n",
"scale = ROOT.gPad.GetUymax()/rightmax\n",
"hint1.SetLineColor(\"kRed\")\n",
"hint1.Scale(scale)\n",
"hint1.Draw(\"same\")\n",
"\n",
"axis = ROOT.TGaxis(ROOT.gPad.GetUxmax(),ROOT.gPad.GetUymin(),\n",
" ROOT.gPad.GetUxmax(), ROOT.gPad.GetUymax(),0,rightmax,510,\"+L\")\n",
"axis.SetLineColor(\"kRed\")\n",
"axis.SetLabelColor(\"kRed\")\n",
"axis.Draw()"
]
},
{
"cell_type": "markdown",
"id": "d100d11e",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "29bf3b5e",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2026-05-19T20:12:06.849160Z",
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"shell.execute_reply": "2026-05-19T20:12:06.968559Z"
}
},
"outputs": [
{
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"\n",
"\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",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
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"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
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"version": "3.12.12"
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