{
"cells": [
{
"cell_type": "markdown",
"id": "6b5207fa",
"metadata": {},
"source": [
"# transpad\n",
"Example of a canvas showing two histograms with different scales.\n",
"The second histogram is drawn in a transparent pad\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Rene Brun \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": "25a32693",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:57.598553Z",
"iopub.status.busy": "2024-03-19T19:11:57.598150Z",
"iopub.status.idle": "2024-03-19T19:11:59.272044Z",
"shell.execute_reply": "2024-03-19T19:11:59.270796Z"
}
},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"TCanvas *c1 = new TCanvas(\"c1\",\"transparent pad\",200,10,700,500);\n",
"TPad *pad1 = new TPad(\"pad1\",\"\",0,0,1,1);\n",
"TPad *pad2 = new TPad(\"pad2\",\"\",0,0,1,1);\n",
"pad2->SetFillStyle(4000); //will be transparent\n",
"pad1->Draw();\n",
"pad1->cd();\n",
"\n",
"TH1F *h1 = new TH1F(\"h1\",\"h1\",100,-3,3);\n",
"TH1F *h2 = new TH1F(\"h2\",\"h2\",100,-3,3);\n",
"TRandom r;\n",
"for (Int_t i=0;i<100000;i++) {\n",
" Double_t x1 = r.Gaus(-1,0.5);\n",
" Double_t x2 = r.Gaus(1,1.5);\n",
" if (i <1000) h1->Fill(x1);\n",
" h2->Fill(x2);\n",
"}\n",
"h1->Draw();\n",
"pad1->Update(); //this will force the generation of the \"stats\" box\n",
"TPaveStats *ps1 = (TPaveStats*)h1->GetListOfFunctions()->FindObject(\"stats\");\n",
"ps1->SetX1NDC(0.4); ps1->SetX2NDC(0.6);\n",
"pad1->Modified();\n",
"c1->cd();"
]
},
{
"cell_type": "markdown",
"id": "a2739a5c",
"metadata": {},
"source": [
"compute the pad range with suitable margins"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "4e90f967",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:59.280925Z",
"iopub.status.busy": "2024-03-19T19:11:59.280558Z",
"iopub.status.idle": "2024-03-19T19:11:59.502069Z",
"shell.execute_reply": "2024-03-19T19:11:59.490344Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"Double_t ymin = 0;\n",
"Double_t ymax = 2000;\n",
"Double_t dy = (ymax-ymin)/0.8; //10 per cent margins top and bottom\n",
"Double_t xmin = -3;\n",
"Double_t xmax = 3;\n",
"Double_t dx = (xmax-xmin)/0.8; //10 per cent margins left and right\n",
"pad2->Range(xmin-0.1*dx,ymin-0.1*dy,xmax+0.1*dx,ymax+0.1*dy);\n",
"pad2->Draw();\n",
"pad2->cd();\n",
"h2->SetLineColor(kRed);\n",
"h2->Draw(\"][sames\");\n",
"pad2->Update();\n",
"TPaveStats *ps2 = (TPaveStats*)h2->GetListOfFunctions()->FindObject(\"stats\");\n",
"ps2->SetX1NDC(0.65); ps2->SetX2NDC(0.85);\n",
"ps2->SetTextColor(kRed);"
]
},
{
"cell_type": "markdown",
"id": "3c8cb343",
"metadata": {},
"source": [
"draw axis on the right side of the pad"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "28a00ae2",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:59.507231Z",
"iopub.status.busy": "2024-03-19T19:11:59.506836Z",
"iopub.status.idle": "2024-03-19T19:11:59.742660Z",
"shell.execute_reply": "2024-03-19T19:11:59.741485Z"
}
},
"outputs": [],
"source": [
"TGaxis *axis = new TGaxis(xmax,ymin,xmax,ymax,ymin,ymax,50510,\"+L\");\n",
"axis->SetLabelColor(kRed);\n",
"axis->Draw();"
]
},
{
"cell_type": "markdown",
"id": "f81ccfb2",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "84084ef3",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:59.758842Z",
"iopub.status.busy": "2024-03-19T19:11:59.758444Z",
"iopub.status.idle": "2024-03-19T19:11:59.972752Z",
"shell.execute_reply": "2024-03-19T19:11:59.971314Z"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gROOT->GetListOfCanvases()->Draw()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "ROOT C++",
"language": "c++",
"name": "root"
},
"language_info": {
"codemirror_mode": "text/x-c++src",
"file_extension": ".C",
"mimetype": " text/x-c++src",
"name": "c++"
}
},
"nbformat": 4,
"nbformat_minor": 5
}