analyze_first_bench.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "from tools.hh_experiments_loading import load_tsp_results, load_exp, exp_progress_loader, exp_chronics_loader"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "tsp_problems = [\n",
    "#         \"kroA100.tsp\",\n",
    "#         \"pr439.tsp\",\n",
    "        \"rat783.tsp\",\n",
    "#         \"pla7397.tsp\",\n",
    "    ]\n",
    "instances_optimums = {\n",
    "        \"eil51.tsp\":    426,\n",
    "        \"kroA100.tsp\":  21282,\n",
    "        \"kroA150.tsp\":  26524,\n",
    "        \"kroB200.tsp\":  29437,\n",
    "        \"pr439.tsp\":    107217,\n",
    "        \"rat783.tsp\":   8806,\n",
    "        \"pla7397.tsp\":  23260728,\n",
    "        \"d15112.tsp\":   1573084\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "llh_selection = {\n",
    "    \"4.1.1\" : \"py.ES\",\n",
    "    \"4.1.2\" : \"py.ES\",\n",
    "    \"4.1.3\" : \"py.ES\",\n",
    "    \"4.1.4\" : \"py.ES\",\n",
    "    \"4.1.5\" : \"py.ES\",\n",
    "    \"4.2.1\" : \"py.SA\",\n",
    "    \"4.2.2\" : \"py.SA\",\n",
    "    \"4.2.3\" : \"py.SA\",\n",
    "    \"4.2.4\" : \"py.SA\",\n",
    "    \"4.2.5\" : \"py.SA\",\n",
    "    \"4.3.1\" : \"j.ES\",\n",
    "    \"4.3.2\" : \"j.ES\",\n",
    "    \"4.3.3\" : \"j.ES\",\n",
    "    \"4.3.4\" : \"j.ES\",\n",
    "    \"4.3.5\" : \"j.ES\",\n",
    "    \"1.1.\"  : \"Random\",\n",
    "    \"1.2.\"  : \"Random\",\n",
    "    \"2.1.\"  : \"HH\",\n",
    "    \"2.2.\"  : \"FRAMAB\",\n",
    "    \"3.1.\"  : \"HH\",\n",
    "    \"3.2.\"  : \"BRR\",\n",
    "    \"1.3.\"  : \"Random\",\n",
    "    \"2.4.\"  : \"FRAMAB\",\n",
    "    \"2.5.\"  : \"FRAMAB\",\n",
    "    \"3.4.\"  : \"BRR\",\n",
    "    \"3.5.\"  : \"BRR\"\n",
    "}\n",
    "\n",
    "parameter_selection = {\n",
    "    \"4.1.1\" : \"Default\",\n",
    "    \"4.1.2\" : \"Tuned\",\n",
    "    \"4.1.3\" : \"Random\",\n",
    "    \"4.1.4\" : \"TPE\",\n",
    "    \"4.1.5\" : \"BRR\",\n",
    "    \"4.2.1\" : \"Default\",\n",
    "    \"4.2.2\" : \"Tuned\",\n",
    "    \"4.2.3\" : \"Random\",\n",
    "    \"4.2.4\" : \"TPE\",\n",
    "    \"4.2.5\" : \"BRR\",\n",
    "    \"4.3.1\" : \"Default\",\n",
    "    \"4.3.2\" : \"Tuned\",\n",
    "    \"4.3.3\" : \"Random\",\n",
    "    \"4.3.4\" : \"TPE\",\n",
    "    \"4.3.5\" : \"BRR\",\n",
    "    \"1.1.\"  : \"Default\",\n",
    "    \"1.2.\"  : \"Tuned\",\n",
    "    \"2.1.\"  : \"HH-FRAMAB\", # Default\n",
    "    \"2.2.\"  : \"Tuned\",\n",
    "    \"3.1.\"  : \"HH-BRR\", # Default\n",
    "    \"3.2.\"  : \"Tuned\",\n",
    "    \"1.3.\"  : \"Random\",\n",
    "    \"2.4.\"  : \"TPE\",\n",
    "    \"2.5.\"  : \"BRR\",\n",
    "    \"3.4.\"  : \"TPE\",\n",
    "    \"3.5.\"  : \"BRR\"\n",
    "}\n",
    "\n",
    "code_desc_w_codes = {\n",
    "    \"4.1.1\" : \"py.ES default (4.1.1)\",\n",
    "    \"4.1.2\" : \"py.ES tuned (4.1.2)\",\n",
    "    \"4.1.3\" : \"py.ES random (4.1.3)\",\n",
    "    \"4.1.4\" : \"py.ES TPE (4.1.4)\",\n",
    "    \"4.1.5\" : \"py.ES BRR (4.1.5)\",\n",
    "    \"4.2.1\" : \"py.SA default (4.2.1)\",\n",
    "    \"4.2.2\" : \"py.SA tuned (4.2.2)\",\n",
    "    \"4.2.3\" : \"py.SA random (4.2.3)\",\n",
    "    \"4.2.4\" : \"py.SA TPE (4.2.4)\",\n",
    "    \"4.2.5\" : \"py.SA BRR (4.2.5)\",\n",
    "    \"4.3.1\" : \"j.ES default (4.3.1)\",\n",
    "    \"4.3.2\" : \"j.ES tuned (4.3.2)\",\n",
    "    \"4.3.3\" : \"j.ES random (4.3.3)\",\n",
    "    \"4.3.4\" : \"j.ES TPE (4.3.4)\",\n",
    "    \"4.3.5\" : \"j.ES BRR (4.3.5)\",\n",
    "    \"1.1.\"  : \"random default (1.1)\",\n",
    "    \"1.2.\"  : \"random tuned (1.2)\",\n",
    "    \"2.1.\"  : \"HH-FRAMAB (2.1)\",\n",
    "    \"2.2.\"  : \"FRAMAB tuned (2.2)\",\n",
    "    \"3.1.\"  : \"HH-BRR (3.1)\",\n",
    "    \"3.2.\"  : \"BRR tuned (3.2)\",\n",
    "    \"1.3.\"  : \"random random (1.3)\",\n",
    "    \"2.4.\"  : \"HH-FRAMAB-PC-H-TPE (2.4)\",\n",
    "    \"2.5.\"  : \"HH-FRAMAB-PC-H-BRR (2.5)\",\n",
    "    \"3.4.\"  : \"HH-BRR-PC-H-TPE (3.4)\",\n",
    "    \"3.5.\"  : \"HH-BRR-PC-H-BRR (3.5)\"\n",
    "}\n",
    "\n",
    "code_desc_wo_codes = {\n",
    "    \"4.1.1\" : \"py.ES default\",\n",
    "    \"4.1.2\" : \"py.ES tuned\",\n",
    "    \"4.1.3\" : \"py.ES random\",\n",
    "    \"4.1.4\" : \"py.ES PC-H-TPE\",\n",
    "    \"4.1.5\" : \"py.ES PC-H-BRR\",\n",
    "    \"4.2.1\" : \"py.SA default\",\n",
    "    \"4.2.2\" : \"py.SA tuned\",\n",
    "    \"4.2.3\" : \"py.SA random\",\n",
    "    \"4.2.4\" : \"py.SA PC-H-TPE\",\n",
    "    \"4.2.5\" : \"py.SA PC-H-BRR\",\n",
    "    \"4.3.1\" : \"j.ES default\",\n",
    "    \"4.3.2\" : \"j.ES tuned\",\n",
    "    \"4.3.3\" : \"j.ES random\",\n",
    "    \"4.3.4\" : \"j.ES PC-H-TPE\",\n",
    "    \"4.3.5\" : \"j.ES PC-H-BRR\",\n",
    "    \"1.1.\"  : \"random default\",\n",
    "    \"1.2.\"  : \"random tuned\",\n",
    "    \"2.1.\"  : \"HH-FRAMAB\",\n",
    "    \"2.2.\"  : \"FRAMAB tuned\",\n",
    "    \"3.1.\"  : \"HH-BRR\",\n",
    "    \"3.2.\"  : \"BRR tuned\",\n",
    "    \"1.3.\"  : \"random random\",\n",
    "    \"2.4.\"  : \"HH-FRAMAB-PC-H-TPE\",\n",
    "    \"2.5.\"  : \"HH-FRAMAB-PC-H-BRR\",\n",
    "    \"3.4.\"  : \"HH-BRR-PC-H-TPE\",\n",
    "    \"3.5.\"  : \"HH-BRR-PC-H-BRR\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set(context='talk', font_scale=0.9, rc={'figure.figsize':(20,9)})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dmitrii/work/projects/git/ThesesTeam2017/YevSem/tud_master_benchmarks/tools/hh_experiments_loading.py:296: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  repetition_final_results['Repetition'] = repetition\n",
      "/home/dmitrii/.local/lib/python3.7/site-packages/pandas/core/indexing.py:671: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    }
   ],
   "source": [
    "#loading the experiments \n",
    "all_processes, all_final_results = load_tsp_results(\"./dumps/1st benchmark/\", exp_progress_loader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Mode</th>\n",
       "      <th>Repetition</th>\n",
       "      <th>improvement</th>\n",
       "      <th>iteration</th>\n",
       "      <th>objective</th>\n",
       "      <th>Code</th>\n",
       "      <th>Experiment Group</th>\n",
       "      <th>TSP instance</th>\n",
       "      <th>Optimum</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>MHjMetalPyES</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.308829</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.344860e+05</td>\n",
       "      <td>4.1.1</td>\n",
       "      <td>MH</td>\n",
       "      <td>kroA100.tsp</td>\n",
       "      <td>21282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>MHjMetalPyES</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.307124</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.340770e+05</td>\n",
       "      <td>4.1.1</td>\n",
       "      <td>MH</td>\n",
       "      <td>kroA100.tsp</td>\n",
       "      <td>21282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>MHjMetalPyES</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.333796</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.329970e+05</td>\n",
       "      <td>4.1.1</td>\n",
       "      <td>MH</td>\n",
       "      <td>kroA100.tsp</td>\n",
       "      <td>21282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>MHjMetalPyES</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.324750</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.340750e+05</td>\n",
       "      <td>4.1.1</td>\n",
       "      <td>MH</td>\n",
       "      <td>kroA100.tsp</td>\n",
       "      <td>21282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>MHjMetalPyES</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.310454</td>\n",
       "      <td>336.0</td>\n",
       "      <td>1.351690e+05</td>\n",
       "      <td>4.1.1</td>\n",
       "      <td>MH</td>\n",
       "      <td>kroA100.tsp</td>\n",
       "      <td>21282</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>HH</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.011285</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.909775e+09</td>\n",
       "      <td>3.5.</td>\n",
       "      <td>HH-PC</td>\n",
       "      <td>pla7397.tsp</td>\n",
       "      <td>23260728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>HH</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.030554</td>\n",
       "      <td>70.0</td>\n",
       "      <td>1.814980e+09</td>\n",
       "      <td>3.5.</td>\n",
       "      <td>HH-PC</td>\n",
       "      <td>pla7397.tsp</td>\n",
       "      <td>23260728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>76</th>\n",
       "      <td>HH</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.003092</td>\n",
       "      <td>76.0</td>\n",
       "      <td>1.749227e+09</td>\n",
       "      <td>3.5.</td>\n",
       "      <td>HH-PC</td>\n",
       "      <td>pla7397.tsp</td>\n",
       "      <td>23260728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>HH</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.009436</td>\n",
       "      <td>75.0</td>\n",
       "      <td>1.636058e+09</td>\n",
       "      <td>3.5.</td>\n",
       "      <td>HH-PC</td>\n",
       "      <td>pla7397.tsp</td>\n",
       "      <td>23260728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>HH</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.003666</td>\n",
       "      <td>65.0</td>\n",
       "      <td>1.664698e+09</td>\n",
       "      <td>3.5.</td>\n",
       "      <td>HH-PC</td>\n",
       "      <td>pla7397.tsp</td>\n",
       "      <td>23260728</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>953 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             Mode  Repetition  improvement  iteration     objective   Code  \\\n",
       "336  MHjMetalPyES         0.0     0.308829      336.0  1.344860e+05  4.1.1   \n",
       "336  MHjMetalPyES         1.0     0.307124      336.0  1.340770e+05  4.1.1   \n",
       "336  MHjMetalPyES         2.0     0.333796      336.0  1.329970e+05  4.1.1   \n",
       "336  MHjMetalPyES         3.0     0.324750      336.0  1.340750e+05  4.1.1   \n",
       "336  MHjMetalPyES         4.0     0.310454      336.0  1.351690e+05  4.1.1   \n",
       "..            ...         ...          ...        ...           ...    ...   \n",
       "70             HH         4.0     0.011285       70.0  1.909775e+09   3.5.   \n",
       "70             HH         5.0     0.030554       70.0  1.814980e+09   3.5.   \n",
       "76             HH         6.0     0.003092       76.0  1.749227e+09   3.5.   \n",
       "75             HH         7.0     0.009436       75.0  1.636058e+09   3.5.   \n",
       "65             HH         8.0     0.003666       65.0  1.664698e+09   3.5.   \n",
       "\n",
       "    Experiment Group TSP instance   Optimum  \n",
       "336               MH  kroA100.tsp     21282  \n",
       "336               MH  kroA100.tsp     21282  \n",
       "336               MH  kroA100.tsp     21282  \n",
       "336               MH  kroA100.tsp     21282  \n",
       "336               MH  kroA100.tsp     21282  \n",
       "..               ...          ...       ...  \n",
       "70             HH-PC  pla7397.tsp  23260728  \n",
       "70             HH-PC  pla7397.tsp  23260728  \n",
       "76             HH-PC  pla7397.tsp  23260728  \n",
       "75             HH-PC  pla7397.tsp  23260728  \n",
       "65             HH-PC  pla7397.tsp  23260728  \n",
       "\n",
       "[953 rows x 9 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_final_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Baseline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for tsp_instance in tsp_problems:    \n",
    "#     f_condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ((all_final_results[\"Experiment Group\"] == \"HH-SP\") | (all_final_results[\"Experiment Group\"] == \"MH\"))\n",
    "#     blp = all_processes[f_condition].copy(deep=True)\n",
    "# blp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1220.09x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tsp_instance in tsp_problems:\n",
    "    \n",
    "    # --- Intermediate results ---\n",
    "    condition = (all_processes[\"TSP instance\"] == tsp_instance) &(all_processes[\"Experiment Group\"] == \"MH\")& (all_processes[\"Code\"] != \"4.1.3\") & (all_processes[\"Code\"] != \"4.2.3\") & (all_processes[\"Code\"] != \"4.3.3\") & (all_processes[\"Code\"] != \"1.1.\") & (all_processes[\"Code\"] != \"1.2.\") &(all_processes[\"Code\"] != \"1.3.\") & (all_processes[\"Code\"] != \"2.2.\") & (all_processes[\"Code\"] != \"3.2.\")\n",
    "    blp = all_processes[condition].copy(deep=True)\n",
    "\n",
    "    blp[\"MH \"] = blp[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "    blp[\"parameters\"] = blp[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "    prog_plot = sns.relplot(x=\"iteration\", y='objective', col=\"MH \", col_wrap=3,\n",
    "                    kind=\"line\", ci='sd', hue=\"parameters\",  # estimator=None, units=\"Repetition\",\n",
    "                    #palette=sns.color_palette(\"deep\", all_processes[condition][\"Scenario\"].unique().shape[0]),\n",
    "                    data=blp\n",
    "                   )\n",
    "    [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes]\n",
    "    \n",
    "#     leg = prog_plot._legend\n",
    "#     leg.set_bbox_to_anchor([0.89, 0.7]) \n",
    "#     leg._ncol = 5\n",
    "    #[ax.axhline(instances_optimums[tsp_instance], color='green', ls='--').set_label(\"optimum\") for ax in g.axes[0]]\n",
    "    #plt.subplots_adjust(top=0.9)\n",
    "    name = f\"{tsp_instance[:-4]}_baseline_hh_progress\"\n",
    "#     plt.legend(loc='upper center', bbox_to_anchor=(0.5, -0.1), ncol=4)\n",
    "\n",
    "    plt.savefig(fname=\"plots/baseline/\" + name + \".svg\", dpi=500, bbox_inches='tight')\n",
    "    plt.show()\n",
    "\n",
    "    # --- Final boxplots --- \n",
    "#     f_condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ((all_final_results[\"Experiment Group\"] == \"HH-SP\") | (all_final_results[\"Experiment Group\"] == \"MH\")) & (all_final_results[\"Code\"] != \"4.1.3\") & (all_final_results[\"Code\"] != \"4.2.3\") & (all_final_results[\"Code\"] != \"4.3.3\") & (all_final_results[\"Code\"] != \"1.1.\") & (all_final_results[\"Code\"] != \"1.2.\") &(all_final_results[\"Code\"] != \"1.3.\") & (all_final_results[\"Code\"] != \"2.2.\") & (all_final_results[\"Code\"] != \"3.2.\")\n",
    "#     blf = all_final_results[f_condition].copy(deep=True)\n",
    "#     blf[\"MH \"] = blf[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "#     blf[\"parameters\"] = blf[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "#     blf[\"codes_description\"] = blf[\"Code\"].apply(lambda x: code_desc_wo_codes[x])\n",
    "    \n",
    "\n",
    "#     fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(24, 9), sharey=True)\n",
    "    \n",
    "#     g = sns.boxplot(x=\"codes_description\", y='objective', hue=\"parameters\", dodge=False, ax=axes, data=blf)\n",
    "#     g.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\")\n",
    "#     g.xaxis.set_ticks_position('bottom')\n",
    "#     g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "#     g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "#     g.set_xlabel('')\n",
    "\n",
    "#     #plt.subplots_adjust(top=0.9)\n",
    "#     #g.set_ylim(0.75 * instances_optimums[tsp_instance], 2.5 * instances_optimums[tsp_instance])\n",
    "#     plt.savefig(fname=f\"plots/baseline/{tsp_instance[:-4]}_baseline_hh_final_boxplot.svg\", dpi=500, bbox_inches='tight')\n",
    "#     #plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Parameter Control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to see also optimums\n",
    "instances_boundaries = {\n",
    "        \"kroA100.tsp\":  (20000,115282),\n",
    "        \"pr439.tsp\":    (97217, 552170),\n",
    "        \"rat783.tsp\":   (806, 90000),\n",
    "        \"pla7397.tsp\":  (1260728, 3e9),\n",
    "    }\n",
    "\n",
    "# to beter see graphs\n",
    "zoomed_boundaries = {\n",
    "        \"kroA100.tsp\":  (20000,45282),\n",
    "        \"pr439.tsp\":    (260217, 502170),\n",
    "        \"rat783.tsp\":   (22006, 60000),\n",
    "        \"pla7397.tsp\":  (0.6e9, 2e9),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1220.09x360 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x648 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tsp_instance in tsp_problems:\n",
    "    \n",
    "    # --- Intermediate results ---\n",
    "    condition = (all_processes[\"TSP instance\"] == tsp_instance) & ((all_processes[\"Experiment Group\"] == \"MH\") | (all_processes[\"Experiment Group\"] == \"MH-PC\")) & (all_processes[\"Code\"] != \"4.1.3\") & (all_processes[\"Code\"] != \"4.2.3\") & (all_processes[\"Code\"] != \"4.3.3\") & (all_processes[\"Code\"] != \"1.1.\") & (all_processes[\"Code\"] != \"1.2.\") &(all_processes[\"Code\"] != \"1.3.\") & (all_processes[\"Code\"] != \"2.2.\") & (all_processes[\"Code\"] != \"3.2.\")\n",
    "    blp = all_processes[condition].copy(deep=True)\n",
    "\n",
    "    blp[\"MH \"] = blp[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "    blp[\"parameters\"] = blp[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "    prog_plot = sns.relplot(x=\"iteration\", y='objective', col=\"MH \", col_wrap=3,\n",
    "                            kind=\"line\", ci=\"sd\", hue=\"parameters\", # estimator=None, units=\"Repetition\",\n",
    "                            #palette=sns.color_palette(\"deep\", all_processes[condition][\"Scenario\"].unique().shape[0]),\n",
    "                            data=blp\n",
    "                           )\n",
    "\n",
    "    [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes]\n",
    "    #[ax.axhline(instances_optimums[tsp_instance], color='green', ls='--').set_label(\"optimum\") for ax in g.axes[0]]\n",
    "    prog_plot.set(ylim=(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1]))\n",
    "    plt.savefig(fname=f\"plots/control/{tsp_instance[:-4]} PC progress.svg\", dpi=500, bbox_inches='tight')\n",
    "    #plt.show()\n",
    "\n",
    "    # --- Final boxplots ---\n",
    "    f_condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ((all_final_results[\"Experiment Group\"] == \"MH\") | (all_final_results[\"Experiment Group\"] == \"MH-PC\")) & (all_final_results[\"Code\"] != \"4.1.3\") & (all_final_results[\"Code\"] != \"4.2.3\") & (all_final_results[\"Code\"] != \"4.3.3\") & (all_final_results[\"Code\"] != \"1.1.\") & (all_final_results[\"Code\"] != \"1.2.\") &(all_final_results[\"Code\"] != \"1.3.\") & (all_final_results[\"Code\"] != \"2.2.\") & (all_final_results[\"Code\"] != \"3.2.\")& (all_final_results[\"Code\"] != \"4.1.1\")& (all_final_results[\"Code\"] != \"4.2.1\")& (all_final_results[\"Code\"] != \"4.3.1\")\n",
    "    blf = all_final_results[f_condition].copy(deep=True)\n",
    "    blf[\"MH \"] = blf[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "    blf[\"parameters\"] = blf[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "    blf[\"codes_description\"] = blf[\"Code\"].apply(lambda x: code_desc_wo_codes[x])\n",
    "    fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(24, 9), sharey=True)\n",
    "\n",
    "    g = sns.boxplot(x=\"codes_description\", y='objective', hue=\"MH \", dodge=False, data=blf, ax=axes)\n",
    "    g.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\")\n",
    "    g.set_ylim(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1])\n",
    "    \n",
    "    g.xaxis.set_ticks_position('bottom')\n",
    "    g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "    g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "    g.set_xlabel('')\n",
    "    fig.tight_layout()\n",
    "\n",
    "    #g.set_ylim(0.75 * instances_optimums[tsp_instance], 2.5 * instances_optimums[tsp_instance])\n",
    "    plt.savefig(fname=f\"plots/control/{tsp_instance[:-4]} PC final boxplot.svg\", dpi=500, bbox_inches='tight')\n",
    "#     plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "# separate since intermediate results will contain only two columns\n",
    "\n",
    "# for tsp_instance in [\"pla7397.tsp\"]:\n",
    "#     condition = (all_processes[\"TSP instance\"] == tsp_instance) & ((all_processes[\"Experiment Group\"] == \"MH\") | (all_processes[\"Experiment Group\"] == \"MH-PC\"))\n",
    "#     blp = all_processes[condition].copy(deep=True)\n",
    "\n",
    "#     blp[\"MH \"] = blp[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "#     blp[\"parameters\"] = blp[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "#     blp = blp[blp[\"MH \"] != \"py.ES\"]\n",
    "\n",
    "#     prog_plot = sns.relplot(x=\"iteration\", y='objective', col=\"MH \", col_wrap=2,\n",
    "#                     kind=\"line\", ci='sd', hue=\"parameters\", # estimator=None, units=\"Repetition\",\n",
    "#                     #palette=sns.color_palette(\"deep\", all_processes[condition][\"Scenario\"].unique().shape[0]),\n",
    "#                     data=blp, \n",
    "#                     height=4, \n",
    "#                     aspect=1.5,\n",
    "#                    )\n",
    "#     [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes]\n",
    "#     prog_plot.set(ylim=(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1]))\n",
    "#     plt.savefig(fname=f\"plots/control/{tsp_instance[:-4]} PC progress.svg\", dpi=500, bbox_inches='tight')\n",
    "#     #plt.show()\n",
    "\n",
    "#     f_condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ((all_final_results[\"Experiment Group\"] == \"MH\") | (all_final_results[\"Experiment Group\"] == \"MH-PC\"))\n",
    "#     blf = all_final_results[f_condition].copy(deep=True)\n",
    "#     blf[\"MH \"] = blf[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "#     blf[\"parameters\"] = blf[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "#     blf[\"codes_description\"] = blf[\"Code\"].apply(lambda x: code_desc_wo_codes[x])\n",
    "    \n",
    "#     blf = blf[blf[\"MH \"] != \"jMetalPy evolution strategy\"]\n",
    "#     blf.rename(columns={\"objective\": \"Distance (km)\"}, inplace=True)\n",
    "#     blf = blf[blf[\"codes_description\"].apply(lambda x: \"BRR\" not in x)]\n",
    "#     fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(16, 5), sharey=True)\n",
    "    \n",
    "#     g = sns.boxplot(x=\"codes_description\", y=\"Distance (km)\", hue=\"MH \", dodge=False, data=blf, ax=axes)\n",
    "#     #g.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\")\n",
    "#     g.set_ylim(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1])\n",
    "#     g.xaxis.set_ticks_position('bottom')\n",
    "#     g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "#     g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "#     g.set_xlabel('')\n",
    "#     fig.tight_layout()\n",
    "#     axes.legend(loc=3)\n",
    "#     plt.savefig(fname=f\"plots/control/{tsp_instance[:-4]} PC final boxplot.svg\", dpi=500, bbox_inches='tight')\n",
    "#     #plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Selection Hyper-Heuristic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# loading the intermediate experiment results, including the llh type\n",
    "tsp_chronics, _ = load_tsp_results(\"./dumps/1st benchmark/\", exp_chronics_loader)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "llh_names = {\n",
    "    \"jMetalPy.EvolutionStrategy\" : \"py.ES\",\n",
    "    \"jMetalPy.SimulatedAnnealing\": \"py.SA\",\n",
    "    \"jMetal.EvolutionStrategy\"   : \"j.ES\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for tsp_instance in tsp_problems:\n",
    "#     condition = (tsp_chronics[\"TSP instance\"] == tsp_instance) & (tsp_chronics[\"Experiment Group\"] == \"HH-SP\") & (tsp_chronics[\"Repetition\"] == 0)\n",
    "#     blp = tsp_chronics[condition].copy(deep=True)\n",
    "\n",
    "#     blp[\"Used LLH\"] = blp[\"low level heuristic\"].apply(lambda x: llh_names[x])\n",
    "#     blp[\"LLH selection\"] = blp[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "#     blp[\"Parameters\"] = blp[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "\n",
    "#     prog_plot = sns.relplot(x=\"iteration\", y='objective', row=\"Parameters\", col=\"LLH selection\",\n",
    "#                             marker=\"+\", hue=\"Used LLH\", hue_order=[\"py.ES\", \"py.SA\", \"j.ES\"],\n",
    "#                             data=blp, height=3.5, aspect=1.4, facet_kws={'margin_titles':True})\n",
    "\n",
    "#     [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes.flatten()]\n",
    "#     prog_plot.fig.subplots_adjust(wspace=.05, hspace=.05)\n",
    "\n",
    "#     plt.savefig(fname=f\"plots/hh-sp/{tsp_instance[:-4]} HH-SP progress.svg\", dpi=500, bbox_inches='tight')\n",
    "#     #plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # to see also optimums, but need to uncomment optimum drawing below \n",
    "# instances_boundaries = {\n",
    "#         \"kroA100.tsp\":  (30000,80282),\n",
    "#         \"pr439.tsp\":    (257217, 732170),\n",
    "#         \"rat783.tsp\":   (20006, 100000),\n",
    "#         \"pla7397.tsp\":  (13260728, 3e9),\n",
    "#     }\n",
    "\n",
    "# # to beter see graphs\n",
    "# zoomed_boundaries = {\n",
    "#         \"kroA100.tsp\":  (32000,47282),\n",
    "#         \"pr439.tsp\":    (275217, 420170),\n",
    "#         \"rat783.tsp\":   (20006, 50000),\n",
    "#         \"pla7397.tsp\":  (0.6e9, 2.8e9),\n",
    "#     }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# for tsp_instance in tsp_problems:\n",
    "#     condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ((all_final_results[\"Experiment Group\"] == \"HH-SP\") | (all_final_results[\"Experiment Group\"] == \"MH\"))\n",
    "#     blf = all_final_results[condition].copy(deep=True)\n",
    "#     blf[\"parameters\"] = blf[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "#     blf[\"codes_description\"] = blf[\"Code\"].apply(lambda x: code_desc_wo_codes[x])\n",
    "#     blf.rename(columns={\"objective\": \"Distance (km)\"}, inplace=True)\n",
    "    \n",
    "#     fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(16, 5), sharey=True, gridspec_kw={'wspace':0.01})\n",
    "#     # Default parameters\n",
    "#     g = sns.boxplot(x=\"codes_description\", y=\"Distance (km)\", \n",
    "#                     hue=\"Experiment Group\",\n",
    "#                     dodge=False, \n",
    "#                     data=blf[blf[\"parameters\"] == \"Default\"],\n",
    "#                     ax=axes[0]\n",
    "#                    )\n",
    "#     #g.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\")\n",
    "#     g.xaxis.set_ticks_position('bottom')\n",
    "#     g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "#     g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "#     g.set_xlabel('')\n",
    "    \n",
    "#     # Tuned parameters\n",
    "#     g = sns.boxplot(x=\"codes_description\", y=\"Distance (km)\", \n",
    "#                     hue=\"Experiment Group\",\n",
    "#                     dodge=False,\n",
    "#                     data=blf[blf[\"parameters\"] == \"Tuned\"],\n",
    "#                     ax=axes[1]\n",
    "#                    )\n",
    "    \n",
    "#     #g.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\")\n",
    "#     g.set_ylim(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1])\n",
    "#     g.set_ylabel('')\n",
    "    \n",
    "#     g.xaxis.set_ticks_position('bottom')\n",
    "#     g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "#     g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "#     g.set_xlabel('')\n",
    "#     [ax.legend(loc=3) for ax in axes]\n",
    "#     #fig.tight_layout()\n",
    "#     plt.savefig(fname=f\"plots/hh-sp/{tsp_instance[:-4]} HH-SP final boxplot.svg\", dpi=500, bbox_inches='tight')\n",
    "#     #plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Selection hyper-heuristic with parameter control"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1563.21x360 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tsp_instance in [\"pla7397.tsp\"]:\n",
    "    condition = (tsp_chronics[\"TSP instance\"] == tsp_instance) & (tsp_chronics[\"Experiment Group\"] == \"HH-PC\") & (tsp_chronics[\"Repetition\"] == 0) & (tsp_chronics[\"Code\"] != \"1.3.\")\n",
    "    blp = tsp_chronics[condition].copy(deep=True)\n",
    "\n",
    "    blp[\"Used LLH\"] = blp[\"low level heuristic\"].apply(lambda x: llh_names[x])\n",
    "    blp[\"Code\"] = blp[\"Code\"].apply(lambda x: code_desc_wo_codes[x])\n",
    "    prog_plot = sns.relplot(x=\"iteration\", y='objective', col=\"Code\", col_wrap=4, marker=\"+\", ci='sd', \n",
    "                            hue=\"Used LLH\", hue_order=[\"py.ES\", \"py.SA\", \"j.ES\"],\n",
    "                            data=blp#, \n",
    "#                             height=3.5, aspect=1.4, #facet_kws={'margin_titles':True},\n",
    "                           )\n",
    "    [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes.flatten()]\n",
    "    prog_plot.fig.subplots_adjust(wspace=.05, hspace=.15)\n",
    "#     prog_plot.set(font_scale=2)\n",
    "    leg = prog_plot._legend\n",
    "    leg.set_bbox_to_anchor([0.9, 0.6]) \n",
    "    leg._ncol = 5\n",
    "    #[ax.axhline(instances_optimums[tsp_instance], color='green', ls='--').set_label(\"optimum\") for ax in g.axes[0]]\n",
    "    #prog_plot.set(ylim=(instances_boundaries[tsp_instance][0], instances_boundaries[tsp_instance][1]))\n",
    "    plt.savefig(fname=f\"plots/hh-pc/{tsp_instance[:-4]}_HH-PC_progress.svg\", dpi=500, bbox_inches='tight')\n",
    "    #plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "# to see also optimums\n",
    "instances_boundaries = {\n",
    "        \"kroA100.tsp\":  (20000,50282),\n",
    "        \"pr439.tsp\":    (97217, 432170),\n",
    "        \"rat783.tsp\":   (8006, 60000),\n",
    "        \"pla7397.tsp\":  (13260728, 3e9),\n",
    "    }\n",
    "\n",
    "# to beter see graphs\n",
    "zoomed_boundaries = {\n",
    "        \"kroA100.tsp\":  (20000,49282),\n",
    "        \"pr439.tsp\":    (275217, 390170),\n",
    "        \"rat783.tsp\":   (22506, 36000),\n",
    "        \"pla7397.tsp\":  (0.6e9, 2.8e9),\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1580.09x720 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tsp_instance in tsp_problems:\n",
    "    \n",
    "    # --- Intermediate results ---\n",
    "    condition = (all_processes[\"TSP instance\"] == tsp_instance) & ((all_processes[\"Experiment Group\"] == \"MH\") | (all_processes[\"Experiment Group\"] == \"HH-PC\")) & (all_processes[\"Code\"] != \"4.1.3\") & (all_processes[\"Code\"] != \"4.2.3\") & (all_processes[\"Code\"] != \"4.3.3\") & (all_processes[\"Code\"] != \"1.1.\") & (all_processes[\"Code\"] != \"1.2.\") &(all_processes[\"Code\"] != \"1.3.\") & (all_processes[\"Code\"] != \"2.2.\") & (all_processes[\"Code\"] != \"3.2.\")\n",
    "    blp = all_processes[condition].copy(deep=True)\n",
    "\n",
    "    blp[\"MH \"] = blp[\"Code\"].apply(lambda x: llh_selection[x])\n",
    "    blp[\"parameters\"] = blp[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "    prog_plot = sns.relplot(x=\"iteration\", y='objective', col=\"MH \", col_wrap=4,\n",
    "                            kind=\"line\", ci=\"sd\", hue=\"parameters\", # estimator=None, units=\"Repetition\",\n",
    "                            #palette=sns.color_palette(\"deep\", all_processes[condition][\"Scenario\"].unique().shape[0]),\n",
    "                            data=blp\n",
    "                           )\n",
    "\n",
    "    [ax.axhline(instances_optimums[tsp_instance], color='green', ls=':').set_label(\"optimum\") for ax in prog_plot.axes]\n",
    "    #[ax.axhline(instances_optimums[tsp_instance], color='green', ls='--').set_label(\"optimum\") for ax in g.axes[0]]\n",
    "    prog_plot.set(ylim=(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1]))\n",
    "    plt.savefig(fname=f\"plots/control/{tsp_instance[:-4]} PC progress.svg\", dpi=500, bbox_inches='tight')\n",
    "    #plt.show()\n",
    "    \n",
    "for tsp_instance in tsp_problems:\n",
    "    condition = (all_final_results[\"TSP instance\"] == tsp_instance) & ( (all_final_results[\"Experiment Group\"] == \"MH\") | (all_final_results[\"Experiment Group\"] == \"HH-PC\"))& (all_final_results[\"Code\"] != \"1.3.\")\n",
    "    blf = all_final_results[condition].copy(deep=True)\n",
    "    #blf[\"MH \"] = blf[\"Code\"].apply(lambda x: mhs[x])\n",
    "    blf[\"parameters\"] = blf[\"Code\"].apply(lambda x: parameter_selection[x])\n",
    "    blf[\"codes_description\"] = blf[\"Code\"].apply(lambda x: code_desc_w_codes[x])\n",
    "    blf.rename(columns={\"objective\": \"Distance (km)\"}, inplace=True)\n",
    "    \n",
    "    fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(16, 5), sharey=True, gridspec_kw={'wspace':0.01})\n",
    "    \n",
    "    g = sns.boxplot(x=\"codes_description\", y=\"Distance (km)\", hue=\"Experiment Group\", dodge=False, data=blf, ax=axes)\n",
    "\n",
    "    g.set(ylim=(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1]))\n",
    "    g.xaxis.set_ticks_position('bottom')\n",
    "    g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "    g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "    g.set_xlabel('')\n",
    "    axes.legend(loc=3)\n",
    "    plt.savefig(fname=f\"plots/hh-pc/{tsp_instance[:-4]} HH-PC final boxplot.svg\", dpi=500, bbox_inches='tight')\n",
    "    #plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for tsp_instance in [\"pla7397.tsp\"]:\n",
    "    condition = (all_processes[\"TSP instance\"] == tsp_instance) & \\\n",
    "                ((all_processes[\"Experiment Group\"] == \"HH-PC\") | ((all_processes[\"Experiment Group\"] == \"MH\") & (all_processes[\"Code\"].isin((\"4.3.2\",)))))\n",
    "    df = all_processes[condition].copy(deep=True)\n",
    "    df[\"Solver\"] = df[\"Code\"].apply(lambda x: code_desc_w_codes[x])\n",
    "    \n",
    "    fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(16, 5), \n",
    "                             sharey=True,\n",
    "                             gridspec_kw={'wspace':0.01, 'hspace':0.01}\n",
    "                            )\n",
    "    rplt = sns.lineplot(x=\"iteration\", y='objective', \n",
    "                        ci='sd', hue=\"Solver\", # estimator=None, units=\"Repetition\",\n",
    "                        data=df, ax=axes)\n",
    "    plt.savefig(fname=f\"plots/hh-pc/{tsp_instance[:-4]} HH-PC vs jES progress.svg\", dpi=500, bbox_inches='tight')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Debugging"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### visualize the average number of external iterations by py.ES with default params for each instance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 576x144 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#print(all_processes)\n",
    "instances = all_processes[\"TSP instance\"].astype(\"category\").unique()\n",
    "for i, inst in enumerate(instances):\n",
    "    plt.figure(i, figsize =(8,2))\n",
    "    condition = (all_processes[\"TSP instance\"] == inst) & (all_processes[\"Code\"] == \"4.1.4\")\n",
    "    all_processes[condition][\"iteration\"].hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#tsp_instance = \"kroA100.tsp\"\n",
    "\n",
    "for tsp_instance in tsp_problems:\n",
    "#for tsp_instance in [\"kroA100.tsp\"]:\n",
    "    condition = (all_final_results[\"TSP instance\"] == tsp_instance)\n",
    "    blf = all_final_results[condition].copy(deep=True)\n",
    "    fig, axes = plt.subplots(nrows=1, ncols=1, figsize=(16, 5), \n",
    "                             sharey=True,\n",
    "                             gridspec_kw={'wspace':0.01}\n",
    "                            )\n",
    "    g = sns.boxplot(x=\"Code\", y='objective', \n",
    "                    hue=\"Experiment Group\",\n",
    "                    dodge=False, \n",
    "                    data=blf,\n",
    "                    ax=axes\n",
    "                   )\n",
    "    g.axes.axhline(instances_optimums[tsp_instance], color='green', ls='--').set_label(\"optimum\")\n",
    "    g.set(ylim=(zoomed_boundaries[tsp_instance][0], zoomed_boundaries[tsp_instance][1]))\n",
    "    g.xaxis.set_ticks_position('bottom')\n",
    "    g.xaxis.set_tick_params(color='gray', pad=-5, width=2, length=10)\n",
    "    g.set_xticklabels(g.get_xticklabels(), rotation=25, horizontalalignment='right')\n",
    "    axes.legend(loc=1)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dmitrii/.local/lib/python3.7/site-packages/ipykernel_launcher.py:2: FutureWarning: The pandas.np module is deprecated and will be removed from pandas in a future version. Import numpy directly instead\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<style  type=\"text/css\" >\n",
       "</style><table id=\"T_30781e8b_a71b_11ea_8691_e09467e97627\" ><thead>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" colspan=3>iteration</th>        <th class=\"col_heading level0 col3\" colspan=3>objective</th>        <th class=\"col_heading level0 col6\" colspan=3>Optimum</th>    </tr>    <tr>        <th class=\"blank\" ></th>        <th class=\"blank level1\" ></th>        <th class=\"col_heading level1 col0\" >amin</th>        <th class=\"col_heading level1 col1\" >mean</th>        <th class=\"col_heading level1 col2\" >std</th>        <th class=\"col_heading level1 col3\" >amin</th>        <th class=\"col_heading level1 col4\" >mean</th>        <th class=\"col_heading level1 col5\" >std</th>        <th class=\"col_heading level1 col6\" >amin</th>        <th class=\"col_heading level1 col7\" >mean</th>        <th class=\"col_heading level1 col8\" >std</th>    </tr>    <tr>        <th class=\"index_name level0\" >Experiment Group</th>        <th class=\"index_name level1\" >Code</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level0_row0\" class=\"row_heading level0 row0\" rowspan=5>HH-PC</th>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row0\" class=\"row_heading level1 row0\" >1.3.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col0\" class=\"data row0 col0\" >67</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col1\" class=\"data row0 col1\" >85</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col2\" class=\"data row0 col2\" >8</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col3\" class=\"data row0 col3\" >1687855495</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col4\" class=\"data row0 col4\" >1815721794</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col5\" class=\"data row0 col5\" >87307521</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col6\" class=\"data row0 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col7\" class=\"data row0 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row0_col8\" class=\"data row0 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row1\" class=\"row_heading level1 row1\" >2.4.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col0\" class=\"data row1 col0\" >156</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col1\" class=\"data row1 col1\" >185</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col2\" class=\"data row1 col2\" >15</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col3\" class=\"data row1 col3\" >912264049</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col4\" class=\"data row1 col4\" >1199738016</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col5\" class=\"data row1 col5\" >205533985</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col6\" class=\"data row1 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col7\" class=\"data row1 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row1_col8\" class=\"data row1 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row2\" class=\"row_heading level1 row2\" >2.5.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col0\" class=\"data row2 col0\" >78</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col1\" class=\"data row2 col1\" >135</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col2\" class=\"data row2 col2\" >38</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col3\" class=\"data row2 col3\" >1354196166</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col4\" class=\"data row2 col4\" >1460681037</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col5\" class=\"data row2 col5\" >57770764</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col6\" class=\"data row2 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col7\" class=\"data row2 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row2_col8\" class=\"data row2 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row3\" class=\"row_heading level1 row3\" >3.4.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col0\" class=\"data row3 col0\" >50</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col1\" class=\"data row3 col1\" >90</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col2\" class=\"data row3 col2\" >24</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col3\" class=\"data row3 col3\" >1026880309</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col4\" class=\"data row3 col4\" >1579805637</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col5\" class=\"data row3 col5\" >375451837</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col6\" class=\"data row3 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col7\" class=\"data row3 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row3_col8\" class=\"data row3 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row4\" class=\"row_heading level1 row4\" >3.5.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col0\" class=\"data row4 col0\" >65</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col1\" class=\"data row4 col1\" >75</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col2\" class=\"data row4 col2\" >7</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col3\" class=\"data row4 col3\" >1629147332</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col4\" class=\"data row4 col4\" >1736442893</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col5\" class=\"data row4 col5\" >89413787</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col6\" class=\"data row4 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col7\" class=\"data row4 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row4_col8\" class=\"data row4 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level0_row5\" class=\"row_heading level0 row5\" rowspan=6>HH-SP</th>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row5\" class=\"row_heading level1 row5\" >1.1.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col0\" class=\"data row5 col0\" >37</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col1\" class=\"data row5 col1\" >76</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col2\" class=\"data row5 col2\" >32</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col3\" class=\"data row5 col3\" >1777658580</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col4\" class=\"data row5 col4\" >2203819260</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col5\" class=\"data row5 col5\" >437999367</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col6\" class=\"data row5 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col7\" class=\"data row5 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row5_col8\" class=\"data row5 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row6\" class=\"row_heading level1 row6\" >1.2.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col0\" class=\"data row6 col0\" >292</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col1\" class=\"data row6 col1\" >303</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col2\" class=\"data row6 col2\" >8</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col3\" class=\"data row6 col3\" >794461798</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col4\" class=\"data row6 col4\" >832754319</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col5\" class=\"data row6 col5\" >22848007</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col6\" class=\"data row6 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col7\" class=\"data row6 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row6_col8\" class=\"data row6 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row7\" class=\"row_heading level1 row7\" >2.1.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col0\" class=\"data row7 col0\" >46</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col1\" class=\"data row7 col1\" >188</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col2\" class=\"data row7 col2\" >54</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col3\" class=\"data row7 col3\" >1569150086</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col4\" class=\"data row7 col4\" >1728591281</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col5\" class=\"data row7 col5\" >364476875</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col6\" class=\"data row7 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col7\" class=\"data row7 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row7_col8\" class=\"data row7 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row8\" class=\"row_heading level1 row8\" >2.2.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col0\" class=\"data row8 col0\" >290</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col1\" class=\"data row8 col1\" >310</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col2\" class=\"data row8 col2\" >8</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col3\" class=\"data row8 col3\" >775887027</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col4\" class=\"data row8 col4\" >794478412</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col5\" class=\"data row8 col5\" >13501812</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col6\" class=\"data row8 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col7\" class=\"data row8 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row8_col8\" class=\"data row8 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row9\" class=\"row_heading level1 row9\" >3.1.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col0\" class=\"data row9 col0\" >45</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col1\" class=\"data row9 col1\" >126</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col2\" class=\"data row9 col2\" >66</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col3\" class=\"data row9 col3\" >1475527859</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col4\" class=\"data row9 col4\" >1934187052</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col5\" class=\"data row9 col5\" >449660041</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col6\" class=\"data row9 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col7\" class=\"data row9 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row9_col8\" class=\"data row9 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row10\" class=\"row_heading level1 row10\" >3.2.</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col0\" class=\"data row10 col0\" >293</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col1\" class=\"data row10 col1\" >308</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col2\" class=\"data row10 col2\" >9</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col3\" class=\"data row10 col3\" >777931654</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col4\" class=\"data row10 col4\" >791768317</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col5\" class=\"data row10 col5\" >14578963</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col6\" class=\"data row10 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col7\" class=\"data row10 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row10_col8\" class=\"data row10 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level0_row11\" class=\"row_heading level0 row11\" rowspan=6>MH</th>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row11\" class=\"row_heading level1 row11\" >4.1.1</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col0\" class=\"data row11 col0\" >38</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col1\" class=\"data row11 col1\" >41</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col2\" class=\"data row11 col2\" >2</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col3\" class=\"data row11 col3\" >2730074917</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col4\" class=\"data row11 col4\" >2737831472</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col5\" class=\"data row11 col5\" >4225616</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col6\" class=\"data row11 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col7\" class=\"data row11 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row11_col8\" class=\"data row11 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row12\" class=\"row_heading level1 row12\" >4.1.2</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col0\" class=\"data row12 col0\" >306</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col1\" class=\"data row12 col1\" >307</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col2\" class=\"data row12 col2\" >1</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col3\" class=\"data row12 col3\" >2421486544</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col4\" class=\"data row12 col4\" >2432905011</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col5\" class=\"data row12 col5\" >7405688</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col6\" class=\"data row12 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col7\" class=\"data row12 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row12_col8\" class=\"data row12 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row13\" class=\"row_heading level1 row13\" >4.2.1</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col0\" class=\"data row13 col0\" >326</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col1\" class=\"data row13 col1\" >333</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col2\" class=\"data row13 col2\" >3</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col3\" class=\"data row13 col3\" >1360505168</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col4\" class=\"data row13 col4\" >1380256720</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col5\" class=\"data row13 col5\" >13657387</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col6\" class=\"data row13 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col7\" class=\"data row13 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row13_col8\" class=\"data row13 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row14\" class=\"row_heading level1 row14\" >4.2.2</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col0\" class=\"data row14 col0\" >336</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col1\" class=\"data row14 col1\" >336</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col2\" class=\"data row14 col2\" >0</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col3\" class=\"data row14 col3\" >1162583357</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col4\" class=\"data row14 col4\" >1171728906</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col5\" class=\"data row14 col5\" >5239671</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col6\" class=\"data row14 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col7\" class=\"data row14 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row14_col8\" class=\"data row14 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row15\" class=\"row_heading level1 row15\" >4.3.1</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col0\" class=\"data row15 col0\" >251</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col1\" class=\"data row15 col1\" >255</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col2\" class=\"data row15 col2\" >2</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col3\" class=\"data row15 col3\" >2633785765</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col4\" class=\"data row15 col4\" >2648540705</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col5\" class=\"data row15 col5\" >8181262</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col6\" class=\"data row15 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col7\" class=\"data row15 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row15_col8\" class=\"data row15 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row16\" class=\"row_heading level1 row16\" >4.3.2</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col0\" class=\"data row16 col0\" >315</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col1\" class=\"data row16 col1\" >316</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col2\" class=\"data row16 col2\" >1</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col3\" class=\"data row16 col3\" >761509264</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col4\" class=\"data row16 col4\" >775957737</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col5\" class=\"data row16 col5\" >10846169</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col6\" class=\"data row16 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col7\" class=\"data row16 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row16_col8\" class=\"data row16 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level0_row17\" class=\"row_heading level0 row17\" rowspan=9>MH-PC</th>\n",
       "                        <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row17\" class=\"row_heading level1 row17\" >4.1.3</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col0\" class=\"data row17 col0\" >20</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col1\" class=\"data row17 col1\" >24</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col2\" class=\"data row17 col2\" >3</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col3\" class=\"data row17 col3\" >2729415229</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col4\" class=\"data row17 col4\" >2738113236</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col5\" class=\"data row17 col5\" >7383459</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col6\" class=\"data row17 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col7\" class=\"data row17 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row17_col8\" class=\"data row17 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row18\" class=\"row_heading level1 row18\" >4.1.4</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col0\" class=\"data row18 col0\" >24</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col1\" class=\"data row18 col1\" >26</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col2\" class=\"data row18 col2\" >2</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col3\" class=\"data row18 col3\" >2712114799</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col4\" class=\"data row18 col4\" >2734298124</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col5\" class=\"data row18 col5\" >9381522</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col6\" class=\"data row18 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col7\" class=\"data row18 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row18_col8\" class=\"data row18 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row19\" class=\"row_heading level1 row19\" >4.1.5</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col0\" class=\"data row19 col0\" >25</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col1\" class=\"data row19 col1\" >29</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col2\" class=\"data row19 col2\" >2</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col3\" class=\"data row19 col3\" >2723433962</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col4\" class=\"data row19 col4\" >2732529772</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col5\" class=\"data row19 col5\" >5694368</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col6\" class=\"data row19 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col7\" class=\"data row19 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row19_col8\" class=\"data row19 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row20\" class=\"row_heading level1 row20\" >4.2.3</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col0\" class=\"data row20 col0\" >313</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col1\" class=\"data row20 col1\" >326</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col2\" class=\"data row20 col2\" >8</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col3\" class=\"data row20 col3\" >1354022277</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col4\" class=\"data row20 col4\" >1369131424</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col5\" class=\"data row20 col5\" >11698311</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col6\" class=\"data row20 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col7\" class=\"data row20 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row20_col8\" class=\"data row20 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row21\" class=\"row_heading level1 row21\" >4.2.4</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col0\" class=\"data row21 col0\" >304</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col1\" class=\"data row21 col1\" >317</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col2\" class=\"data row21 col2\" >11</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col3\" class=\"data row21 col3\" >1186230750</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col4\" class=\"data row21 col4\" >1407196180</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col5\" class=\"data row21 col5\" >292371422</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col6\" class=\"data row21 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col7\" class=\"data row21 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row21_col8\" class=\"data row21 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row22\" class=\"row_heading level1 row22\" >4.2.5</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col0\" class=\"data row22 col0\" >300</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col1\" class=\"data row22 col1\" >323</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col2\" class=\"data row22 col2\" >12</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col3\" class=\"data row22 col3\" >1255612025</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col4\" class=\"data row22 col4\" >1271166341</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col5\" class=\"data row22 col5\" >14802252</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col6\" class=\"data row22 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col7\" class=\"data row22 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row22_col8\" class=\"data row22 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row23\" class=\"row_heading level1 row23\" >4.3.3</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col0\" class=\"data row23 col0\" >282</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col1\" class=\"data row23 col1\" >287</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col2\" class=\"data row23 col2\" >5</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col3\" class=\"data row23 col3\" >933923318</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col4\" class=\"data row23 col4\" >1109347363</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col5\" class=\"data row23 col5\" >85835240</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col6\" class=\"data row23 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col7\" class=\"data row23 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row23_col8\" class=\"data row23 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row24\" class=\"row_heading level1 row24\" >4.3.4</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col0\" class=\"data row24 col0\" >293</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col1\" class=\"data row24 col1\" >304</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col2\" class=\"data row24 col2\" >6</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col3\" class=\"data row24 col3\" >663489188</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col4\" class=\"data row24 col4\" >764140101</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col5\" class=\"data row24 col5\" >108747262</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col6\" class=\"data row24 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col7\" class=\"data row24 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row24_col8\" class=\"data row24 col8\" >0</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                                <th id=\"T_30781e8b_a71b_11ea_8691_e09467e97627level1_row25\" class=\"row_heading level1 row25\" >4.3.5</th>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col0\" class=\"data row25 col0\" >279</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col1\" class=\"data row25 col1\" >287</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col2\" class=\"data row25 col2\" >6</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col3\" class=\"data row25 col3\" >903993065</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col4\" class=\"data row25 col4\" >1048196489</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col5\" class=\"data row25 col5\" >109819327</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col6\" class=\"data row25 col6\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col7\" class=\"data row25 col7\" >23260728</td>\n",
       "                        <td id=\"T_30781e8b_a71b_11ea_8691_e09467e97627row25_col8\" class=\"data row25 col8\" >0</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f15fae21b50>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "group = all_final_results[all_final_results['TSP instance'] == \"pla7397.tsp\"][[\"Experiment Group\",\"Code\", \"iteration\", \"objective\", \"Optimum\"]].groupby([\"Experiment Group\",\"Code\"])\n",
    "r = group.agg([pd.np.min, pd.np.mean, pd.np.std])\n",
    "r.style.format(\"{:.0f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}