{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "aebc9254",
   "metadata": {},
   "source": [
    "# surfaces\n",
    "Surfaces example\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**Author:** Wim Lavrijsen  \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": "04017484",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:31.540055Z",
     "iopub.status.busy": "2026-05-19T20:37:31.539901Z",
     "iopub.status.idle": "2026-05-19T20:37:32.678220Z",
     "shell.execute_reply": "2026-05-19T20:37:32.677540Z"
    }
   },
   "outputs": [],
   "source": [
    "from ROOT import TCanvas, TPaveText, TPad, TF2\n",
    "from ROOT import gROOT, gStyle\n",
    "\n",
    "\n",
    "\n",
    "c1 = TCanvas( 'c1', 'Surfaces Drawing Options', 200, 10, 700, 900 )\n",
    "c1.SetFillColor( 42 )\n",
    "gStyle.SetFrameFillColor( 42 )\n",
    "title = TPaveText( .2, 0.96, .8, .995 )\n",
    "title.SetFillColor( 33 )\n",
    "title.AddText( 'Examples of Surface options' )\n",
    "title.Draw()\n",
    "\n",
    "pad1 = TPad( 'pad1', 'Gouraud shading', 0.03, 0.50, 0.98, 0.95, 21 )\n",
    "pad2 = TPad( 'pad2', 'Color mesh',      0.03, 0.02, 0.98, 0.48, 21 )\n",
    "pad1.Draw()\n",
    "pad2.Draw()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2d9e835e",
   "metadata": {},
   "source": [
    "We generate a 2-D function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "365eca2d",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:32.685307Z",
     "iopub.status.busy": "2026-05-19T20:37:32.685165Z",
     "iopub.status.idle": "2026-05-19T20:37:32.817287Z",
     "shell.execute_reply": "2026-05-19T20:37:32.816646Z"
    }
   },
   "outputs": [],
   "source": [
    "f2 = TF2( 'f2', 'x**2 + y**2 - x**3 -8*x*y**4', -1, 1.2, -1.5, 1.5 )\n",
    "f2.SetContour( 48 )\n",
    "f2.SetFillColor( 45 )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b61ff92",
   "metadata": {},
   "source": [
    "Draw this function in pad1 with Gouraud shading option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "bb76e4f8",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:32.826178Z",
     "iopub.status.busy": "2026-05-19T20:37:32.826036Z",
     "iopub.status.idle": "2026-05-19T20:37:32.940599Z",
     "shell.execute_reply": "2026-05-19T20:37:32.939946Z"
    }
   },
   "outputs": [],
   "source": [
    "pad1.cd()\n",
    "pad1.SetPhi( -80 )\n",
    "pad1.SetLogz()\n",
    "f2.Draw( 'surf4' )"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68a821f4",
   "metadata": {},
   "source": [
    "Draw this function in pad2 with color mesh option"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "108575dd",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:32.942173Z",
     "iopub.status.busy": "2026-05-19T20:37:32.942041Z",
     "iopub.status.idle": "2026-05-19T20:37:33.258500Z",
     "shell.execute_reply": "2026-05-19T20:37:33.258039Z"
    }
   },
   "outputs": [
    {
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').then(json => {\n",
       "   const obj = Core.parse(json);\n",
       "   Core.draw('root_plot_1779223053248', 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_1779223053248();\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pad2.cd()\n",
    "pad2.SetTheta( 25 )\n",
    "pad2.SetPhi( -110 )\n",
    "pad2.SetLogz()\n",
    "f2.Draw( 'surf1' )\n",
    "\n",
    "c1.Update()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edcebdbd",
   "metadata": {},
   "source": [
    "Draw all canvases "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "bc7546c0",
   "metadata": {
    "collapsed": false,
    "execution": {
     "iopub.execute_input": "2026-05-19T20:37:33.267125Z",
     "iopub.status.busy": "2026-05-19T20:37:33.266992Z",
     "iopub.status.idle": "2026-05-19T20:37:33.422632Z",
     "shell.execute_reply": "2026-05-19T20:37:33.421849Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "\n",
       "<div id=\"root_plot_1779223053419\" style=\"width: 700px; height: 900px; position: relative\">\n",
       "</div>\n",
       "\n",
       "</div>\n",
       "<script>\n",
       "   function process_root_plot_1779223053419() {\n",
       "      function execCode(Core) {\n",
       "         Core.settings.HandleKeys = false;\n",
       "         \n",
       "Core.unzipJSON(50798,'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').then(json => {\n",
       "   const obj = Core.parse(json);\n",
       "   Core.draw('root_plot_1779223053419', 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_1779223053419();\n",
       "</script>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "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": {
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    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
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   "pygments_lexer": "ipython3",
   "version": "3.12.12"
  }
 },
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}
