{
"cells": [
{
"cell_type": "markdown",
"id": "68c08028",
"metadata": {},
"source": [
"# ratioplot3\n",
"Example which shows how you can get the graph of the lower plot and set the y axis range for it.\n",
"\n",
"Since the lower plot is not created until `TRatioPlot::Draw` is called, you can only use the method\n",
"afterwards.\n",
"Inspired by the tutorial of Paul Gessinger.\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, March 19, 2024 at 07:11 PM."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "02e6bdd4",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:37.549275Z",
"iopub.status.busy": "2024-03-19T19:11:37.548891Z",
"iopub.status.idle": "2024-03-19T19:11:41.221991Z",
"shell.execute_reply": "2024-03-19T19:11:41.218524Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import ROOT\n",
"\n",
"ROOT.gStyle.SetOptStat(0)\n",
"c1 = ROOT.TCanvas(\"c1\", \"fit residual simple\")\n",
"c1.SetLogy()\n",
"\n",
"h1 = ROOT.TH1D(\"h1\", \"h1\", 50, -5, 5)\n",
"h1.FillRandom(\"gaus\", 2000)\n",
"h1.Fit(\"gaus\")\n",
"h1.SetMinimum(0.001)\n",
"h1.GetXaxis().SetTitle(\"x\")\n",
"h1.GetYaxis().SetTitle(\"y\")\n",
"\n",
"rp1 = ROOT.TRatioPlot(h1)\n",
"rp1.Draw()\n",
"rp1.GetLowerRefGraph().SetMinimum(-2)\n",
"rp1.GetLowerRefGraph().SetMaximum(2)\n",
"\n",
"c1.Update()"
]
},
{
"cell_type": "markdown",
"id": "c335b4e8",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "aebbd451",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:41.231421Z",
"iopub.status.busy": "2024-03-19T19:11:41.230457Z",
"iopub.status.idle": "2024-03-19T19:11:41.440853Z",
"shell.execute_reply": "2024-03-19T19:11:41.432575Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\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",
"version": "3.8.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}