{
"cells": [
{
"cell_type": "markdown",
"id": "41cef682",
"metadata": {},
"source": [
"# th2polyBoxes\n",
"This tutorial illustrates how to create an histogram with polygonal\n",
"bins (TH2Poly). The bins are boxes.\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Olivier Couet \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": "aaa89b34",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:50.197713Z",
"iopub.status.busy": "2024-03-19T19:11:50.197352Z",
"iopub.status.idle": "2024-03-19T19:11:51.374733Z",
"shell.execute_reply": "2024-03-19T19:11:51.373573Z"
}
},
"outputs": [],
"source": [
"TCanvas *ch2p2 = new TCanvas(\"ch2p2\",\"ch2p2\",600,400);\n",
"gStyle->SetPalette(57);\n",
"TH2Poly *h2p = new TH2Poly();\n",
"h2p->SetName(\"Boxes\");\n",
"h2p->SetTitle(\"Boxes\");\n",
"\n",
"Int_t i,j;\n",
"Int_t nx = 40;\n",
"Int_t ny = 40;\n",
"Double_t xval1,yval1,xval2,yval2;\n",
"Double_t dx=0.2, dy=0.1;\n",
"xval1 = 0.;\n",
"xval2 = dx;\n",
"\n",
"for (i = 0; iAddBin(xval1, yval1, xval2, yval2);\n",
" yval1 = yval2;\n",
" yval2 = yval2+yval2*dy;\n",
" }\n",
" xval1 = xval2;\n",
" xval2 = xval2+xval2*dx;\n",
"}\n",
"\n",
"TRandom ran;\n",
"for (i = 0; i<300000; i++) {\n",
" h2p->Fill(50*ran.Gaus(2.,1), ran.Gaus(2.,1));\n",
"}\n",
"\n",
"h2p->Draw(\"COLZ\");\n",
"return ch2p2;"
]
},
{
"cell_type": "markdown",
"id": "756d3d1b",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "ec5b60a4",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:11:51.406782Z",
"iopub.status.busy": "2024-03-19T19:11:51.406400Z",
"iopub.status.idle": "2024-03-19T19:11:51.827113Z",
"shell.execute_reply": "2024-03-19T19:11:51.818249Z"
}
},
"outputs": [
{
"data": {
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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
}