{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a7df9173",
   "metadata": {},
   "source": [
    "# latex4\n",
    "and SVG files.\n",
    "Lowercase Greek letters are obtained by adding a # to the name of the letter.\n",
    "For an uppercase Greek letter, just capitalize the first letter of the\n",
    "command name. Some letter have two representations. The name of the\n",
    "second one (the \"variation\") starts with \"var\".\n",
    "\n",
    "### png output:\n",
    "\n",
    "### pdf output:\n",
    "\n",
    "### svg output:\n",
    "\n",
    "\n",
    "\n",
    "**Author:** Rene Brun  \n",
    "<i><small>This notebook tutorial was automatically generated with <a href= \"https://github.com/root-project/root/blob/master/documentation/doxygen/converttonotebook.py\">ROOTBOOK-izer</a> from the macro found in the ROOT repository  on Tuesday, May 19, 2026 at 08:37 PM.</small></i>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "9d59390e",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:13.074026Z",
     "iopub.status.busy": "2026-05-19T20:37:13.073913Z",
     "iopub.status.idle": "2026-05-19T20:37:13.436045Z",
     "shell.execute_reply": "2026-05-19T20:37:13.429701Z"
    }
   },
   "outputs": [],
   "source": [
    "auto c1 = new TCanvas(\"greek\", \"greek\", 600, 700);\n",
    "\n",
    "TLatex l;\n",
    "l.SetTextSize(0.03);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7f15ee6f",
   "metadata": {},
   "source": [
    "Draw the columns titles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "66cf56e3",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:13.451501Z",
     "iopub.status.busy": "2026-05-19T20:37:13.451362Z",
     "iopub.status.idle": "2026-05-19T20:37:13.657783Z",
     "shell.execute_reply": "2026-05-19T20:37:13.657130Z"
    }
   },
   "outputs": [],
   "source": [
    "l.SetTextAlign(22);\n",
    "l.DrawLatex(0.165, 0.95, \"Lower case\");\n",
    "l.DrawLatex(0.495, 0.95, \"Upper case\");\n",
    "l.DrawLatex(0.825, 0.95, \"Variations\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e270f671",
   "metadata": {},
   "source": [
    "Draw the lower case letters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "775ea406",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:13.659284Z",
     "iopub.status.busy": "2026-05-19T20:37:13.659167Z",
     "iopub.status.idle": "2026-05-19T20:37:13.865499Z",
     "shell.execute_reply": "2026-05-19T20:37:13.864818Z"
    }
   },
   "outputs": [],
   "source": [
    "l.SetTextAlign(12);\n",
    "float y, x1, x2;\n",
    "y = 0.90;\n",
    "x1 = 0.07;\n",
    "x2 = x1 + 0.2;\n",
    "l.DrawLatex(x1, y, \"alpha : \");\n",
    "l.DrawLatex(x2, y, \"#alpha\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"beta : \");\n",
    "l.DrawLatex(x2, y, \"#beta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"gamma : \");\n",
    "l.DrawLatex(x2, y, \"#gamma\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"delta : \");\n",
    "l.DrawLatex(x2, y, \"#delta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"epsilon : \");\n",
    "l.DrawLatex(x2, y, \"#epsilon\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"zeta : \");\n",
    "l.DrawLatex(x2, y, \"#zeta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"eta : \");\n",
    "l.DrawLatex(x2, y, \"#eta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"theta : \");\n",
    "l.DrawLatex(x2, y, \"#theta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"iota : \");\n",
    "l.DrawLatex(x2, y, \"#iota\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"kappa : \");\n",
    "l.DrawLatex(x2, y, \"#kappa\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"lambda : \");\n",
    "l.DrawLatex(x2, y, \"#lambda\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"mu : \");\n",
    "l.DrawLatex(x2, y, \"#mu\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"nu : \");\n",
    "l.DrawLatex(x2, y, \"#nu\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"xi : \");\n",
    "l.DrawLatex(x2, y, \"#xi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"omicron : \");\n",
    "l.DrawLatex(x2, y, \"#omicron\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"pi : \");\n",
    "l.DrawLatex(x2, y, \"#pi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"rho : \");\n",
    "l.DrawLatex(x2, y, \"#rho\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"sigma : \");\n",
    "l.DrawLatex(x2, y, \"#sigma\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"tau : \");\n",
    "l.DrawLatex(x2, y, \"#tau\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"upsilon : \");\n",
    "l.DrawLatex(x2, y, \"#upsilon\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"phi : \");\n",
    "l.DrawLatex(x2, y, \"#phi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"chi : \");\n",
    "l.DrawLatex(x2, y, \"#chi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"psi : \");\n",
    "l.DrawLatex(x2, y, \"#psi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"omega : \");\n",
    "l.DrawLatex(x2, y, \"#omega\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ff5a0535",
   "metadata": {},
   "source": [
    "Draw the upper case letters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "0034ac2e",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:13.866875Z",
     "iopub.status.busy": "2026-05-19T20:37:13.866760Z",
     "iopub.status.idle": "2026-05-19T20:37:14.073022Z",
     "shell.execute_reply": "2026-05-19T20:37:14.072360Z"
    }
   },
   "outputs": [],
   "source": [
    "y = 0.90;\n",
    "x1 = 0.40;\n",
    "x2 = x1 + 0.2;\n",
    "l.DrawLatex(x1, y, \"Alpha : \");\n",
    "l.DrawLatex(x2, y, \"#Alpha\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Beta : \");\n",
    "l.DrawLatex(x2, y, \"#Beta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Gamma : \");\n",
    "l.DrawLatex(x2, y, \"#Gamma\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Delta : \");\n",
    "l.DrawLatex(x2, y, \"#Delta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Epsilon : \");\n",
    "l.DrawLatex(x2, y, \"#Epsilon\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Zeta : \");\n",
    "l.DrawLatex(x2, y, \"#Zeta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Eta : \");\n",
    "l.DrawLatex(x2, y, \"#Eta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Theta : \");\n",
    "l.DrawLatex(x2, y, \"#Theta\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Iota : \");\n",
    "l.DrawLatex(x2, y, \"#Iota\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Kappa : \");\n",
    "l.DrawLatex(x2, y, \"#Kappa\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Lambda : \");\n",
    "l.DrawLatex(x2, y, \"#Lambda\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Mu : \");\n",
    "l.DrawLatex(x2, y, \"#Mu\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Nu : \");\n",
    "l.DrawLatex(x2, y, \"#Nu\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Xi : \");\n",
    "l.DrawLatex(x2, y, \"#Xi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Omicron : \");\n",
    "l.DrawLatex(x2, y, \"#Omicron\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Pi : \");\n",
    "l.DrawLatex(x2, y, \"#Pi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Rho : \");\n",
    "l.DrawLatex(x2, y, \"#Rho\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Sigma : \");\n",
    "l.DrawLatex(x2, y, \"#Sigma\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Tau : \");\n",
    "l.DrawLatex(x2, y, \"#Tau\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Upsilon : \");\n",
    "l.DrawLatex(x2, y, \"#Upsilon\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Phi : \");\n",
    "l.DrawLatex(x2, y, \"#Phi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Chi : \");\n",
    "l.DrawLatex(x2, y, \"#Chi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Psi : \");\n",
    "l.DrawLatex(x2, y, \"#Psi\");\n",
    "y -= 0.0375;\n",
    "l.DrawLatex(x1, y, \"Omega : \");\n",
    "l.DrawLatex(x2, y, \"#Omega\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0fd90cf8",
   "metadata": {},
   "source": [
    "Draw the variations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fbb943ea",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:14.074334Z",
     "iopub.status.busy": "2026-05-19T20:37:14.074218Z",
     "iopub.status.idle": "2026-05-19T20:37:14.280471Z",
     "shell.execute_reply": "2026-05-19T20:37:14.279799Z"
    }
   },
   "outputs": [],
   "source": [
    "x1 = 0.73;\n",
    "x2 = x1 + 0.2;\n",
    "y = 0.7500;\n",
    "l.DrawLatex(x1, y, \"varepsilon : \");\n",
    "l.DrawLatex(x2, y, \"#varepsilon\");\n",
    "y = 0.6375;\n",
    "l.DrawLatex(x1, y, \"vartheta : \");\n",
    "l.DrawLatex(x2, y, \"#vartheta\");\n",
    "y = 0.2625;\n",
    "l.DrawLatex(x1, y, \"varsigma : \");\n",
    "l.DrawLatex(x2, y, \"#varsigma\");\n",
    "y = 0.1875;\n",
    "l.DrawLatex(x1, y, \"varUpsilon : \");\n",
    "l.DrawLatex(x2, y, \"#varUpsilon\");\n",
    "y = 0.1500;\n",
    "l.DrawLatex(x1, y, \"varphi : \");\n",
    "l.DrawLatex(x2, y, \"#varphi\");\n",
    "y = 0.0375;\n",
    "l.DrawLatex(x1, y, \"varomega : \");\n",
    "l.DrawLatex(x2, y, \"#varomega\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "df218044",
   "metadata": {},
   "source": [
    "Save the picture in various formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f593ccb9",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:14.281856Z",
     "iopub.status.busy": "2026-05-19T20:37:14.281719Z",
     "iopub.status.idle": "2026-05-19T20:37:14.488220Z",
     "shell.execute_reply": "2026-05-19T20:37:14.487667Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "<div id=\"root_plot_1779223034451\" style=\"width: 600px; height: 700px; position: relative\">\n",
       "</div>\n",
       "\n",
       "</div>\n",
       "<script>\n",
       "   function process_root_plot_1779223034451() {\n",
       "      function execCode(Core) {\n",
       "         Core.settings.HandleKeys = false;\n",
       "         \n",
       "Core.unzipJSON(60949,'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').then(json => {\n",
       "   const obj = Core.parse(json);\n",
       "   Core.draw('root_plot_1779223034451', obj, '');\n",
       "});\n",
       "\n",
       "      }\n",
       "      const servers = ['/static/', 'https://root.cern/js/7.11.0/', 'https://jsroot.gsi.de/7.11.0/'],\n",
       "            path = 'build/jsroot';\n",
       "      if (typeof JSROOT !== 'undefined')\n",
       "         execCode(JSROOT);\n",
       "      else if (typeof requirejs !== 'undefined') {\n",
       "         servers.forEach((s,i) => { servers[i] = s + path; });\n",
       "         requirejs.config({ paths: { 'jsroot' : servers } })(['jsroot'],  execCode);\n",
       "      } else {\n",
       "         const config = document.getElementById('jupyter-config-data');\n",
       "         if (config)\n",
       "            servers[0] = (JSON.parse(config.innerHTML || '{}')?.baseUrl || '/') + 'static/';\n",
       "         else\n",
       "            servers.shift();\n",
       "         function loadJsroot() {\n",
       "            return !servers.length ? 0 : import(servers.shift() + path + '.js').catch(loadJsroot).then(() => execCode(JSROOT));\n",
       "         }\n",
       "         loadJsroot();\n",
       "      }\n",
       "   }\n",
       "   process_root_plot_1779223034451();\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Info in <TCanvas::Print>: ps file greek.ps has been created\n",
      "Info in <TCanvas::Print>: png file greek.png has been created\n",
      "Info in <TCanvas::Print>: pdf file greek.pdf has been created\n",
      "Info in <TCanvas::Print>: SVG file greek.svg has been created\n"
     ]
    }
   ],
   "source": [
    "c1->Print(\"greek.ps\");\n",
    "c1->Print(\"greek.png\");\n",
    "c1->Print(\"greek.pdf\");\n",
    "c1->Print(\"greek.svg\");"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86465e88",
   "metadata": {},
   "source": [
    "Draw all canvases "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "becb6b26",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:14.489410Z",
     "iopub.status.busy": "2026-05-19T20:37:14.489295Z",
     "iopub.status.idle": "2026-05-19T20:37:14.698935Z",
     "shell.execute_reply": "2026-05-19T20:37:14.698300Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "<div id=\"root_plot_1779223034606\" style=\"width: 600px; height: 700px; position: relative\">\n",
       "</div>\n",
       "\n",
       "</div>\n",
       "<script>\n",
       "   function process_root_plot_1779223034606() {\n",
       "      function execCode(Core) {\n",
       "         Core.settings.HandleKeys = false;\n",
       "         \n",
       "Core.unzipJSON(60949,'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').then(json => {\n",
       "   const obj = Core.parse(json);\n",
       "   Core.draw('root_plot_1779223034606', obj, '');\n",
       "});\n",
       "\n",
       "      }\n",
       "      const servers = ['/static/', 'https://root.cern/js/7.11.0/', 'https://jsroot.gsi.de/7.11.0/'],\n",
       "            path = 'build/jsroot';\n",
       "      if (typeof JSROOT !== 'undefined')\n",
       "         execCode(JSROOT);\n",
       "      else if (typeof requirejs !== 'undefined') {\n",
       "         servers.forEach((s,i) => { servers[i] = s + path; });\n",
       "         requirejs.config({ paths: { 'jsroot' : servers } })(['jsroot'],  execCode);\n",
       "      } else {\n",
       "         const config = document.getElementById('jupyter-config-data');\n",
       "         if (config)\n",
       "            servers[0] = (JSON.parse(config.innerHTML || '{}')?.baseUrl || '/') + 'static/';\n",
       "         else\n",
       "            servers.shift();\n",
       "         function loadJsroot() {\n",
       "            return !servers.length ? 0 : import(servers.shift() + path + '.js').catch(loadJsroot).then(() => execCode(JSROOT));\n",
       "         }\n",
       "         loadJsroot();\n",
       "      }\n",
       "   }\n",
       "   process_root_plot_1779223034606();\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "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
}