{
"cells": [
{
"cell_type": "markdown",
"id": "4b4efae4",
"metadata": {},
"source": [
"# drawsparse\n",
"Convert a THnSparse to a TTree using efficient iteration through the THnSparse\n",
"and draw a THnSparse using TParallelCoord.\n",
"The plot will contain one line for each filled bin,\n",
"with the bin's coordinates on each axis, and the bin's content on\n",
"the rightmost axis.\n",
"\n",
" Run as\n",
"```\n",
" .L $ROOTSYS/tutorials/tree/drawsparse.C+\n",
"```\n",
"\n",
"\n",
"\n",
"\n",
"**Author:** Axel Naumann \n",
"This notebook tutorial was automatically generated with ROOTBOOK-izer from the macro found in the ROOT repository on Tuesday, March 19, 2024 at 07:21 PM."
]
},
{
"cell_type": "markdown",
"id": "b7c3c72e",
"metadata": {},
"source": [
" Definition of a helper function: "
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "2142dfe1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:34.031444Z",
"iopub.status.busy": "2024-03-19T19:21:34.031126Z",
"iopub.status.idle": "2024-03-19T19:21:34.260874Z",
"shell.execute_reply": "2024-03-19T19:21:34.259704Z"
}
},
"outputs": [],
"source": [
"%%cpp -d\n",
"\n",
"\n",
"\n",
"#include \"TParallelCoord.h\"\n",
"#include \"TParallelCoordVar.h\"\n",
"#include \"TROOT.h\"\n",
"#include \"TTree.h\"\n",
"#include \"TLeaf.h\"\n",
"#include \"THnSparse.h\"\n",
"#include \"TAxis.h\"\n",
"#include \"TCanvas.h\"\n",
"#include \"TRandom.h\"\n",
"#include \"TFile.h\"\n",
"#include \"TH3.h\"\n",
"\n",
"TTree* toTree(THnSparse* h)\n",
"{\n",
" // Creates a TTree and fills it with the coordinates of all\n",
" // filled bins. The tree will have one branch for each dimension,\n",
" // and one for the bin content.\n",
"\n",
" Int_t dim = h->GetNdimensions();\n",
" TString name(h->GetName()); name += \"_tree\";\n",
" TString title(h->GetTitle()); title += \" tree\";\n",
"\n",
" TTree* tree = new TTree(name, title);\n",
" Double_t* x = new Double_t[dim + 1];\n",
" memset(x, 0, sizeof(Double_t) * (dim + 1));\n",
"\n",
" TString branchname;\n",
" for (Int_t d = 0; d < dim; ++d) {\n",
" if (branchname.Length())\n",
" branchname += \":\";\n",
" TAxis* axis = h->GetAxis(d);\n",
" branchname += axis->GetName();\n",
" branchname += \"/D\";\n",
" }\n",
" tree->Branch(\"coord\", x, branchname);\n",
" tree->Branch(\"bincontent\", &x[dim], \"bincontent/D\");\n",
"\n",
" Int_t *bins = new Int_t[dim];\n",
" for (Long64_t i = 0; i < h->GetNbins(); ++i) {\n",
" x[dim] = h->GetBinContent(i, bins);\n",
" for (Int_t d = 0; d < dim; ++d) {\n",
" x[d] = h->GetAxis(d)->GetBinCenter(bins[d]);\n",
" }\n",
"\n",
" tree->Fill();\n",
" }\n",
"\n",
" delete [] bins;\n",
" //delete [] x;\n",
" return tree;\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "249861ef",
"metadata": {},
"source": [
" Definition of a helper function: "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "f962c56e",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:34.268228Z",
"iopub.status.busy": "2024-03-19T19:21:34.267827Z",
"iopub.status.idle": "2024-03-19T19:21:34.338046Z",
"shell.execute_reply": "2024-03-19T19:21:34.326458Z"
}
},
"outputs": [],
"source": [
"%%cpp -d\n",
"void drawsparse_draw(THnSparse* h)\n",
"{\n",
" // Draw a THnSparse using TParallelCoord, creating a temporary TTree.\n",
"\n",
" TTree* tree = toTree(h);\n",
"\n",
" TString whatToDraw;\n",
" TIter iLeaf(tree->GetListOfLeaves());\n",
" const TLeaf* leaf = nullptr;\n",
" while ((leaf = (const TLeaf*)iLeaf())) {\n",
" if (whatToDraw.Length())\n",
" whatToDraw += \":\";\n",
" whatToDraw += leaf->GetName();\n",
" }\n",
" tree->Draw(whatToDraw, \"\", \"para\");\n",
" TParallelCoord* parallelCoord = (TParallelCoord*)gPad->GetListOfPrimitives()->FindObject(\"ParaCoord\");\n",
"\n",
" TIter iVar(parallelCoord->GetVarList());\n",
" TParallelCoordVar* var = nullptr;\n",
" for (Int_t d = 0;(var = (TParallelCoordVar*) iVar()) && d < h->GetNdimensions(); ++d) {\n",
" TAxis* axis = h->GetAxis(d);\n",
" var->SetHistogramBinning(axis->GetNbins());\n",
" var->SetCurrentLimits(axis->GetXmin(), axis->GetXmax());\n",
" var->SetTitle(axis->GetTitle());\n",
" }\n",
" var->SetTitle(\"bin content\");\n",
"}"
]
},
{
"cell_type": "markdown",
"id": "1311c013",
"metadata": {},
"source": [
"create a THnSparse and draw it."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "582d72af",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:34.343996Z",
"iopub.status.busy": "2024-03-19T19:21:34.343634Z",
"iopub.status.idle": "2024-03-19T19:21:36.006625Z",
"shell.execute_reply": "2024-03-19T19:21:36.004858Z"
}
},
"outputs": [],
"source": [
"const Int_t ndims = 8;\n",
"Int_t bins[ndims] = {10, 10, 5, 30, 10, 4, 18, 12};\n",
"Double_t xmin[ndims] = {-5., -10., -1000., -3., 0., 0., 0., 0.};\n",
"Double_t xmax[ndims] = {10., 70., 3000., 3., 5., 2., 2., 5.};\n",
"THnSparse* hs = new THnSparseD(\"hs\", \"Sparse Histogram\", ndims, bins, xmin, xmax);"
]
},
{
"cell_type": "markdown",
"id": "13e324f1",
"metadata": {},
"source": [
"fill it"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "9db985f0",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:36.012272Z",
"iopub.status.busy": "2024-03-19T19:21:36.011884Z",
"iopub.status.idle": "2024-03-19T19:21:36.494318Z",
"shell.execute_reply": "2024-03-19T19:21:36.463244Z"
}
},
"outputs": [],
"source": [
"Double_t x[ndims];\n",
"for (Long_t i = 0; i < 100000; ++i) {\n",
" for (Int_t d = 0; d < ndims; ++d) {\n",
" switch (d) {\n",
" case 0: x[d] = gRandom->Gaus()*2 + 3.; break;\n",
" case 1:\n",
" case 2:\n",
" case 3: x[d] = (x[d-1]*x[d-1] - 1.5)/1.5 + (0.5*gRandom->Rndm()); break;\n",
" default: x[d] = sin(gRandom->Gaus()*i/1000.) + 1.;\n",
" }\n",
" }\n",
" hs->Fill(x);\n",
"}\n",
"\n",
"\n",
"TFile* f = new TFile(\"drawsparse.root\",\"RECREATE\");\n",
"\n",
"TCanvas* canv = new TCanvas(\"hDrawSparse\", \"Drawing a sparse hist\");\n",
"canv->Divide(2);"
]
},
{
"cell_type": "markdown",
"id": "0732787e",
"metadata": {},
"source": [
"draw it"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "50d35943",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:36.502872Z",
"iopub.status.busy": "2024-03-19T19:21:36.502506Z",
"iopub.status.idle": "2024-03-19T19:21:36.923864Z",
"shell.execute_reply": "2024-03-19T19:21:36.922897Z"
}
},
"outputs": [],
"source": [
"canv->cd(1);\n",
"drawsparse_draw(hs);"
]
},
{
"cell_type": "markdown",
"id": "edc89d18",
"metadata": {},
"source": [
"project it"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "f335f0e1",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:36.936041Z",
"iopub.status.busy": "2024-03-19T19:21:36.935650Z",
"iopub.status.idle": "2024-03-19T19:21:37.216651Z",
"shell.execute_reply": "2024-03-19T19:21:37.214967Z"
}
},
"outputs": [],
"source": [
"canv->cd(2);\n",
"TH3D* h3proj = hs->Projection(2, 3, 6);\n",
"h3proj->SetLineColor(kOrange);\n",
"h3proj->SetDirectory(nullptr);\n",
"h3proj->Draw(\"lego1\");"
]
},
{
"cell_type": "markdown",
"id": "e7da2cf0",
"metadata": {},
"source": [
"save everything to a file"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b16340a7",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:37.240809Z",
"iopub.status.busy": "2024-03-19T19:21:37.240419Z",
"iopub.status.idle": "2024-03-19T19:21:37.677465Z",
"shell.execute_reply": "2024-03-19T19:21:37.675416Z"
}
},
"outputs": [],
"source": [
"canv->Write();\n",
"hs->Write();\n",
"h3proj->Write();\n",
"\n",
"delete f;"
]
},
{
"cell_type": "markdown",
"id": "ede5d856",
"metadata": {},
"source": [
"Draw all canvases "
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "479cc444",
"metadata": {
"collapsed": false,
"execution": {
"iopub.execute_input": "2024-03-19T19:21:37.689264Z",
"iopub.status.busy": "2024-03-19T19:21:37.688890Z",
"iopub.status.idle": "2024-03-19T19:21:38.366064Z",
"shell.execute_reply": "2024-03-19T19:21:38.364268Z"
}
},
"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
}