Decision_Making_with_GA_using_DEAP.ipynb

{
 "cells": [
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   "cell_type": "code",
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   "source": []
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"border-color:#ff9900\"> \n",
    "## _Practice 1 : _\n",
    "# Basic Genetic Algorithm\n",
    "<hr style=\"border-color:#ff9900\"> "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(100, 100)"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here are 5 numbers when added, we get a hundred.\n",
    "list1 = [100, 0, 0, 0, 0]\n",
    "list2 = [20, 21, 19, 15, 25]\n",
    "(sum(list1), sum(list2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- These 5 numbers in combination make a hundred in sum.\n",
    "- Let’s find the those combination of 5 numbers using GA."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting Things Up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "from deap import algorithms, base, creator, tools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creator\n",
    "- Meta-factory allowing the run-time creation of classes via both inheritance and composition.\n",
    "- Attributes, both data and functions, can be dynamically added to existing classes in order to create user-specific new types.\n",
    "- By using this, the creation of individuals and populations from any data structure ( list, set, dictionary, tree, etc… )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/deap/creator.py:141: RuntimeWarning: A class named 'FitnessMin' has already been created and it will be overwritten. Consider deleting previous creation of that class or rename it.\n",
      "  RuntimeWarning)\n",
      "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/deap/creator.py:141: RuntimeWarning: A class named 'Individual' has already been created and it will be overwritten. Consider deleting previous creation of that class or rename it.\n",
      "  RuntimeWarning)\n"
     ]
    }
   ],
   "source": [
    "# Creates a new class named \"FitnessMin\" inheriting from \"base.Fitness\" with attrebute \"weights=(-1.0,)\"\n",
    "# The fitness is a measure of quality of a solution.\n",
    "creator.create(\"FitnessMin\", base.Fitness, weights=(-1.0,)) # -1 -> minimum problem\n",
    "creator.create(\"Individual\", list, fitness=creator.FitnessMin)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Toolbox\n",
    "- Container for the tools (operators) that the user wants to use.\n",
    "- Manually populated by the user with selected tools."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "toolbox = base.Toolbox()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "80"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "random.randint(0,100) # get random number between 0~100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Attribute generator \n",
    "toolbox.register(\"attr_bool\", random.randint, 0, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
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   "outputs": [
    {
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      "text/plain": [
       "9"
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     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "toolbox.attr_bool() "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Structure initializers\n",
    "toolbox.register(\"individual\", tools.initRepeat, creator.Individual, toolbox.attr_bool, 5)\n",
    "toolbox.register(\"population\", tools.initRepeat, list, toolbox.individual)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[36, 50, 99, 28, 39]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toolbox.individual()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[61, 79, 8, 19, 100],\n",
       " [14, 37, 52, 16, 67],\n",
       " [19, 31, 63, 81, 29],\n",
       " [42, 46, 3, 14, 81],\n",
       " [12, 97, 12, 23, 92],\n",
       " [81, 19, 97, 26, 1],\n",
       " [20, 72, 50, 56, 81],\n",
       " [77, 78, 6, 9, 90],\n",
       " [63, 27, 60, 44, 42],\n",
       " [62, 93, 93, 92, 84]]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "toolbox.population(n=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Evaluation Function\n",
    "- objective function : the function built for our problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def sum_error(individual):\n",
    "    return abs(100-sum(individual)),"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "[64, 38, 92, 84, 96]"
      ]
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     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# smaple individual\n",
    "ind = toolbox.individual()\n",
    "ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(274,)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_error(ind)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Genetic Operators\n",
    "- Operators are just like initializers, except that some are already implemented in the [tools](http://deap.readthedocs.io/en/master/api/tools.html#module-deap.tools) module. \n",
    "- __Once you’ve chosen the perfect ones, simply register them in the toolbox.__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 187,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "toolbox.register(\"evaluate\", sum_error)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "toolbox.register(\"mate\", tools.cxTwoPoint)\n",
    "toolbox.register(\"mutate\", tools.mutUniformInt, low=0, up=100, indpb=0.2) # Independent probability  : for each attribute to be mutated.# low~up rondom int\n",
    "toolbox.register(\"select\", tools.selTournament, tournsize=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evolving the Population"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating the Population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 189,
   "metadata": {
    "collapsed": false,
    "scrolled": true
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       " [21, 74, 63, 27, 29],\n",
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       " [61, 22, 46, 56, 39],\n",
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       " [29, 1, 68, 13, 25],\n",
       " [20, 65, 59, 50, 64],\n",
       " [59, 6, 32, 28, 54],\n",
       " [43, 45, 35, 48, 47],\n",
       " [1, 43, 47, 70, 46],\n",
       " [68, 28, 51, 0, 23],\n",
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       " [64, 5, 17, 13, 47],\n",
       " [72, 43, 30, 1, 15],\n",
       " [35, 24, 57, 1, 51],\n",
       " [54, 49, 13, 62, 48],\n",
       " [35, 64, 53, 3, 72],\n",
       " [24, 55, 49, 21, 70],\n",
       " [15, 30, 1, 34, 72],\n",
       " [39, 16, 0, 9, 44],\n",
       " [8, 42, 62, 40, 7],\n",
       " [46, 19, 43, 66, 24]]"
      ]
     },
     "execution_count": 189,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop = toolbox.population(n=100)\n",
    "pop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Appeal of Evolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 190,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Use of a HallOfFame in order to keep track of the best individual to appear in the evolution \n",
    "# (it keeps it even in the case it extinguishes)\n",
    "hof = tools.HallOfFame(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 191,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stats = tools.Statistics(lambda ind: ind.fitness.values)\n",
    "stats.register(\"avg\", np.mean)\n",
    "stats.register(\"std\", np.std)\n",
    "stats.register(\"min\", np.min)\n",
    "stats.register(\"max\", np.max)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 193,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gen\tnevals\tavg\tstd    \tmin\tmax\n",
      "0  \t0     \t5  \t18.2225\t0  \t112\n",
      "1  \t60    \t6.94\t19.9704\t0  \t112\n",
      "2  \t62    \t3.87\t14.4109\t0  \t90 \n",
      "3  \t64    \t5.4 \t16.9812\t0  \t83 \n",
      "4  \t66    \t8.23\t22.4245\t0  \t139\n",
      "5  \t62    \t6.04\t19.6657\t0  \t118\n",
      "6  \t55    \t4.35\t15.5983\t0  \t84 \n",
      "7  \t59    \t3.13\t10.4294\t0  \t71 \n",
      "8  \t62    \t5.08\t15.9529\t0  \t81 \n",
      "9  \t57    \t6.73\t22.0127\t0  \t116\n",
      "10 \t53    \t8.48\t26.2349\t0  \t203\n",
      "11 \t65    \t10.72\t31.5877\t0  \t216\n",
      "12 \t53    \t5.18 \t20.6089\t0  \t137\n",
      "13 \t58    \t5.65 \t18.9533\t0  \t96 \n",
      "14 \t65    \t7.1  \t21.4385\t0  \t130\n",
      "15 \t67    \t6.85 \t23.8811\t0  \t153\n",
      "16 \t65    \t7.06 \t21.5304\t0  \t113\n",
      "17 \t60    \t4.78 \t16.1236\t0  \t103\n",
      "18 \t63    \t5.96 \t20.4171\t0  \t151\n",
      "19 \t58    \t5.96 \t20.6339\t0  \t112\n",
      "20 \t50    \t4.26 \t19.1982\t0  \t142\n",
      "21 \t66    \t9.56 \t24.7715\t0  \t108\n",
      "22 \t60    \t4    \t14.9953\t0  \t94 \n",
      "23 \t58    \t4.55 \t17.9345\t0  \t121\n",
      "24 \t56    \t6.14 \t17.8858\t0  \t87 \n",
      "25 \t47    \t7.99 \t27.7851\t0  \t193\n",
      "26 \t63    \t6.45 \t18.0806\t0  \t123\n",
      "27 \t61    \t7.91 \t23.4039\t0  \t132\n",
      "28 \t50    \t5.96 \t17.3487\t0  \t79 \n",
      "29 \t66    \t9.08 \t25.5353\t0  \t141\n",
      "30 \t49    \t7.66 \t22.554 \t0  \t138\n",
      "31 \t56    \t6.14 \t24.9532\t0  \t198\n",
      "32 \t71    \t6.61 \t17.5259\t0  \t90 \n",
      "33 \t50    \t6.72 \t29.8553\t0  \t227\n",
      "34 \t63    \t5.05 \t20.1942\t0  \t156\n",
      "35 \t54    \t8.7  \t23.892 \t0  \t110\n",
      "36 \t50    \t5.66 \t19.5265\t0  \t115\n",
      "37 \t66    \t5.08 \t17.0139\t0  \t92 \n",
      "38 \t52    \t6.84 \t21.8672\t0  \t130\n",
      "39 \t62    \t6.51 \t21.0502\t0  \t116\n",
      "40 \t66    \t4.98 \t18.8128\t0  \t107\n"
     ]
    }
   ],
   "source": [
    "# algorithms : contains useful implements some basic GA\n",
    "pop, log = algorithms.eaSimple(pop, toolbox, cxpb=0.5, mutpb=0.2, ngen=40, stats=stats, halloffame=hof, verbose=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 194,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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     },
     "execution_count": 194,
     "metadata": {},
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   ],
   "source": [
    "[sum(ind) for ind in pop]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 195,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[9, 39, 18, 1, 33],\n",
       " [9, 39, 18, 1, 33],\n",
       " [9, 39, 18, 1, 33],\n",
       " [9, 39, 18, 1, 33],\n",
       " [9, 39, 18, 1, 33]]"
      ]
     },
     "execution_count": 195,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tools.selBest(pop, k=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<hr style=\"border-color:#ff9900\"> \n",
    "## _Practice 2 : _\n",
    "# Find the Best Tour Route using NSGA-ii\n",
    "<hr style=\"border-color:#ff9900\"> "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Preparing Data for GA"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Data from [Seoul data portal](http://data.seoul.go.kr/openinf/sheetview.jsp?infId=OA-12929&tMenu=11)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 320,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "# 거리계산\n",
    "from math import radians, cos, sin, asin, sqrt \n",
    "\n",
    "# Geo data viz\n",
    "import folium"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 321,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df_spot = pd.read_csv(\"seoul_street.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 322,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>street_ko</th>\n",
       "      <th>street_en</th>\n",
       "      <th>address</th>\n",
       "      <th>dong_ko</th>\n",
       "      <th>dong_en</th>\n",
       "      <th>lng</th>\n",
       "      <th>lat</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>남대문거리</td>\n",
       "      <td>fishing-tackle street</td>\n",
       "      <td>서울시 중구 회현동 일대</td>\n",
       "      <td>회현동</td>\n",
       "      <td>Hoehyeon-dong</td>\n",
       "      <td>126.977432</td>\n",
       "      <td>37.558050</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>왕십리곱창골목</td>\n",
       "      <td>Wangsimni Gopchang Alley</td>\n",
       "      <td>서울시 중구 황학동 일대</td>\n",
       "      <td>황학동</td>\n",
       "      <td>Hwanghak-dong</td>\n",
       "      <td>127.020434</td>\n",
       "      <td>37.568610</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>남산공원북측순환도로</td>\n",
       "      <td>The north side of Ring-Road</td>\n",
       "      <td>서울시 중구 필동 일대</td>\n",
       "      <td>필동</td>\n",
       "      <td>Gwanghui-dong</td>\n",
       "      <td>126.995925</td>\n",
       "      <td>37.561350</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>장충단길</td>\n",
       "      <td>Jangchungdan-gil</td>\n",
       "      <td>서울시 중구 장충동 일대</td>\n",
       "      <td>장충동</td>\n",
       "      <td>Pil-dong</td>\n",
       "      <td>127.000575</td>\n",
       "      <td>37.561386</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>초동길</td>\n",
       "      <td>Chodong-gil</td>\n",
       "      <td>서울시 중구 을지로동 일대</td>\n",
       "      <td>을지로동</td>\n",
       "      <td>Euljiro-dong</td>\n",
       "      <td>126.997646</td>\n",
       "      <td>37.566410</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>신당동떡볶이골목</td>\n",
       "      <td>Topokki alley</td>\n",
       "      <td>서울시 중구 신당동 일대</td>\n",
       "      <td>신당동</td>\n",
       "      <td>Cheonggu-dong</td>\n",
       "      <td>127.013160</td>\n",
       "      <td>37.557255</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>돌담길</td>\n",
       "      <td>Doldam-gil</td>\n",
       "      <td>서울시 중구 소공동 일대</td>\n",
       "      <td>소공동</td>\n",
       "      <td>Sogong-dong</td>\n",
       "      <td>126.979934</td>\n",
       "      <td>37.564130</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>명동거리</td>\n",
       "      <td>Myeong-dong street</td>\n",
       "      <td>서울시 중구 명동 일대</td>\n",
       "      <td>명동</td>\n",
       "      <td>Myeong-dong</td>\n",
       "      <td>126.978819</td>\n",
       "      <td>37.568059</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>청계천헌책방거리</td>\n",
       "      <td>Cheonggye Stream secondhand bookshop street</td>\n",
       "      <td>서울시 중구 광희동 일대</td>\n",
       "      <td>광희동</td>\n",
       "      <td>Gwanghui-dong</td>\n",
       "      <td>127.008111</td>\n",
       "      <td>37.569502</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>필리핀거리</td>\n",
       "      <td>The Philippines Street</td>\n",
       "      <td>서울시 종로구 혜화동 일대</td>\n",
       "      <td>혜화동</td>\n",
       "      <td>Jongno1.2.3.4ga-dong</td>\n",
       "      <td>126.992990</td>\n",
       "      <td>37.581990</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>북악산길산책로</td>\n",
       "      <td>Bugaksan-gil</td>\n",
       "      <td>서울시 종로구 평창동 일대</td>\n",
       "      <td>평창동</td>\n",
       "      <td>Pyeongchang-dong</td>\n",
       "      <td>126.957402</td>\n",
       "      <td>37.617896</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>청와대앞길</td>\n",
       "      <td>Cheongwadaeap-gil</td>\n",
       "      <td>서울시 종로구 청운효자동 일대</td>\n",
       "      <td>청운효자동</td>\n",
       "      <td>Cheongunhyoja-dong</td>\n",
       "      <td>126.968455</td>\n",
       "      <td>37.589673</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>동대문생선구이골목</td>\n",
       "      <td>Baked fish Alley</td>\n",
       "      <td>서울시 종로구 종로5.6가동 일대</td>\n",
       "      <td>종로5.6가동</td>\n",
       "      <td>Jongno5.6ga-dong</td>\n",
       "      <td>127.000190</td>\n",
       "      <td>37.573690</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>인사동문화마당</td>\n",
       "      <td>Insadong Culture Plaza</td>\n",
       "      <td>서울시 종로구 종로1.2.3.4가동 일대</td>\n",
       "      <td>종로1.2.3.4가동</td>\n",
       "      <td>Jongno1.2.3.4ga-dong</td>\n",
       "      <td>126.987380</td>\n",
       "      <td>37.574403</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>대학로거리</td>\n",
       "      <td>Daehak-ro street</td>\n",
       "      <td>서울시 종로구 이화동 일대</td>\n",
       "      <td>이화동</td>\n",
       "      <td>Ihwa-dong</td>\n",
       "      <td>127.005411</td>\n",
       "      <td>37.577132</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>삼청동길</td>\n",
       "      <td>Samcheongdong-gil Road</td>\n",
       "      <td>서울시 종로구 삼청동 일대</td>\n",
       "      <td>삼청동</td>\n",
       "      <td>Samcheong-dong</td>\n",
       "      <td>126.980391</td>\n",
       "      <td>37.582810</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>경복궁뒷길</td>\n",
       "      <td>Gyeongbokgung Palace back street</td>\n",
       "      <td>서울시 종로구 사직동 일대</td>\n",
       "      <td>사직동</td>\n",
       "      <td>Sajik-dong</td>\n",
       "      <td>126.972626</td>\n",
       "      <td>37.578390</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>북악산길산책로</td>\n",
       "      <td>Bugaksan-gil</td>\n",
       "      <td>서울시 종로구 부암동 일대</td>\n",
       "      <td>부암동</td>\n",
       "      <td>Buam-dong</td>\n",
       "      <td>126.964084</td>\n",
       "      <td>37.592346</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>계동길</td>\n",
       "      <td>Gyedong-gil</td>\n",
       "      <td>서울시 종로구 가회동 일대</td>\n",
       "      <td>가회동</td>\n",
       "      <td>Gahoe-dong</td>\n",
       "      <td>126.984807</td>\n",
       "      <td>37.582612</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>둘레길3구간</td>\n",
       "      <td>Dulle-gil course 3</td>\n",
       "      <td>서울시 은평구 진관동 일대</td>\n",
       "      <td>진관동</td>\n",
       "      <td>Jingwan-dong</td>\n",
       "      <td>126.934096</td>\n",
       "      <td>37.638680</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>응암동감자탕골목</td>\n",
       "      <td>Yongam Pork Back-bone Stew Alley</td>\n",
       "      <td>서울시 은평구 응암3동 일대</td>\n",
       "      <td>응암3동</td>\n",
       "      <td>Eungam3-dong</td>\n",
       "      <td>126.921704</td>\n",
       "      <td>37.592642</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>불광동먹자골목</td>\n",
       "      <td>Bulgwangdong food alley</td>\n",
       "      <td>서울시 은평구 불광1동 일대</td>\n",
       "      <td>불광1동</td>\n",
       "      <td>Bulgwang1-dong</td>\n",
       "      <td>126.935391</td>\n",
       "      <td>37.619201</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>연신내로데오거리</td>\n",
       "      <td>Rodeo Street</td>\n",
       "      <td>서울시 은평구 갈현2동 일대</td>\n",
       "      <td>갈현2동</td>\n",
       "      <td>Galhyeon2-dong</td>\n",
       "      <td>126.912916</td>\n",
       "      <td>37.620971</td>\n",
       "      <td>17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>해맞이길</td>\n",
       "      <td>Haemaji-gil</td>\n",
       "      <td>서울시 용산구 한남동 일대</td>\n",
       "      <td>한남동</td>\n",
       "      <td>Hannam-dong</td>\n",
       "      <td>127.005929</td>\n",
       "      <td>37.535397</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>용산감자탕거리</td>\n",
       "      <td>Yongsan Pork Back-bone Stew Road</td>\n",
       "      <td>서울시 용산구 한강로동 일대</td>\n",
       "      <td>한강로동</td>\n",
       "      <td>Hangangno-dong</td>\n",
       "      <td>126.973064</td>\n",
       "      <td>37.531945</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>경리단길</td>\n",
       "      <td>Finance corps street</td>\n",
       "      <td>서울시 용산구 이태원2동 일대</td>\n",
       "      <td>이태원2동</td>\n",
       "      <td>Itaewon2-dong</td>\n",
       "      <td>126.991664</td>\n",
       "      <td>37.539718</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>이태원거리</td>\n",
       "      <td>Itaewon street</td>\n",
       "      <td>서울시 용산구 이태원1동 일대</td>\n",
       "      <td>이태원1동</td>\n",
       "      <td>Itaewon2-dong</td>\n",
       "      <td>126.991704</td>\n",
       "      <td>37.538994</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>여의서로</td>\n",
       "      <td>Yeouiseoro</td>\n",
       "      <td>서울시 영등포구 여의동 일대</td>\n",
       "      <td>여의동</td>\n",
       "      <td>Yeoui-dong</td>\n",
       "      <td>126.929428</td>\n",
       "      <td>37.528313</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>안양천제방벚꽃길</td>\n",
       "      <td>Anyangcheon Beotkkot-gil</td>\n",
       "      <td>서울시 영등포구 양평1동 일대</td>\n",
       "      <td>양평1동</td>\n",
       "      <td>Yangpyeong1-dong</td>\n",
       "      <td>126.888618</td>\n",
       "      <td>37.523203</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>신길동홍어거리</td>\n",
       "      <td>Skate Street</td>\n",
       "      <td>서울시 영등포구 신길4동 일대</td>\n",
       "      <td>신길4동</td>\n",
       "      <td>Singil4-dong</td>\n",
       "      <td>126.911534</td>\n",
       "      <td>37.505977</td>\n",
       "      <td>14</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>서래마을카페거리</td>\n",
       "      <td>Seorae Villag Cafe Street</td>\n",
       "      <td>서울시 서초구 반포4동 일대</td>\n",
       "      <td>반포4동</td>\n",
       "      <td>Banpo4-dong</td>\n",
       "      <td>127.001900</td>\n",
       "      <td>37.504695</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>신촌이대거리</td>\n",
       "      <td>Sinchon Ewha Street</td>\n",
       "      <td>서울시 서대문구 신촌동 일대</td>\n",
       "      <td>신촌동</td>\n",
       "      <td>Sinchon-dong</td>\n",
       "      <td>126.946546</td>\n",
       "      <td>37.561111</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>아현동웨딩거리</td>\n",
       "      <td>Ahyeon-dong Wedding Dress Street</td>\n",
       "      <td>서울시 서대문구 북아현동 일대</td>\n",
       "      <td>북아현동</td>\n",
       "      <td>Chunghyeon-dong</td>\n",
       "      <td>126.954554</td>\n",
       "      <td>37.563799</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>연남동차이나타운</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>서울시 마포구 연남동 일대</td>\n",
       "      <td>연남동</td>\n",
       "      <td>Yeonnam-dong</td>\n",
       "      <td>126.922346</td>\n",
       "      <td>37.563108</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>아현동전골목</td>\n",
       "      <td>Ahyeon Coin Alley</td>\n",
       "      <td>서울시 마포구 아현동 일대</td>\n",
       "      <td>아현동</td>\n",
       "      <td>Ahyeon-dong</td>\n",
       "      <td>126.956089</td>\n",
       "      <td>37.554602</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>홍대예술의거리</td>\n",
       "      <td>Hongik Univ Street of Art</td>\n",
       "      <td>서울시 마포구 서교동 일대</td>\n",
       "      <td>서교동</td>\n",
       "      <td>Daheung-dong</td>\n",
       "      <td>126.937928</td>\n",
       "      <td>37.554241</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>메타세콰이어길</td>\n",
       "      <td>Metasequoia Road</td>\n",
       "      <td>서울시 마포구 상암동 일대</td>\n",
       "      <td>상암동</td>\n",
       "      <td>Sangam-dong</td>\n",
       "      <td>126.872594</td>\n",
       "      <td>37.571498</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>현충로</td>\n",
       "      <td>Hyeonchungno</td>\n",
       "      <td>서울시 동작구 사당2동 일대</td>\n",
       "      <td>사당2동</td>\n",
       "      <td>Sadang2-dong</td>\n",
       "      <td>126.973605</td>\n",
       "      <td>37.500688</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>경희대파전골목</td>\n",
       "      <td>Kyunghee Univ pajeon Alley</td>\n",
       "      <td>서울시 동대문구 휘경1동 일대</td>\n",
       "      <td>휘경1동</td>\n",
       "      <td>Hwigyeong2-dong</td>\n",
       "      <td>127.062599</td>\n",
       "      <td>37.588832</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>홍릉길</td>\n",
       "      <td>Hongneung-gil</td>\n",
       "      <td>서울시 동대문구 청량리동 일대</td>\n",
       "      <td>청량리동</td>\n",
       "      <td>Cheongnyangni-dong</td>\n",
       "      <td>127.046390</td>\n",
       "      <td>37.588198</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>화랑로낙엽거리</td>\n",
       "      <td>Hwarangno fallen leaves street</td>\n",
       "      <td>서울시 노원구 공릉2동 일대</td>\n",
       "      <td>공릉2동</td>\n",
       "      <td>Gongneung2-dong</td>\n",
       "      <td>127.087693</td>\n",
       "      <td>37.630593</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>가리봉로데오거리</td>\n",
       "      <td>Rodeo Street</td>\n",
       "      <td>서울시 금천구 가산동 일대</td>\n",
       "      <td>가산동</td>\n",
       "      <td>Gasan-dong</td>\n",
       "      <td>126.884235</td>\n",
       "      <td>37.475038</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>가리봉동차이나타운</td>\n",
       "      <td>Chinatown</td>\n",
       "      <td>서울시 구로구 가리봉동 일대</td>\n",
       "      <td>가리봉동</td>\n",
       "      <td>Garibong-dong</td>\n",
       "      <td>126.887307</td>\n",
       "      <td>37.482833</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58</th>\n",
       "      <td>건대맛의거리</td>\n",
       "      <td>Geondae taste Street</td>\n",
       "      <td>서울시 광진구 화양동 일대</td>\n",
       "      <td>화양동</td>\n",
       "      <td>Hwayang-dong</td>\n",
       "      <td>127.072736</td>\n",
       "      <td>37.543322</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>59</th>\n",
       "      <td>건대로데오거리</td>\n",
       "      <td>Rodeo Street</td>\n",
       "      <td>서울시 광진구 자양4동 일대</td>\n",
       "      <td>자양4동</td>\n",
       "      <td>Jayang1-dong</td>\n",
       "      <td>127.080215</td>\n",
       "      <td>37.531921</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>60</th>\n",
       "      <td>능동로</td>\n",
       "      <td>Neungdongno</td>\n",
       "      <td>서울시 광진구 능동 일대</td>\n",
       "      <td>능동</td>\n",
       "      <td>Neung-dong</td>\n",
       "      <td>127.082462</td>\n",
       "      <td>37.551050</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>봉천동먹자골목</td>\n",
       "      <td>Bongcheon-dong food Alley</td>\n",
       "      <td>서울시 관악구 행운동 일대</td>\n",
       "      <td>행운동</td>\n",
       "      <td>Jungang-dong</td>\n",
       "      <td>126.948986</td>\n",
       "      <td>37.482941</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>걷고싶은문화의거리</td>\n",
       "      <td>Pedestrian-Friendly Culture Street</td>\n",
       "      <td>서울시 관악구 신림동 일대</td>\n",
       "      <td>신림동</td>\n",
       "      <td>Samseong-dong</td>\n",
       "      <td>126.934598</td>\n",
       "      <td>37.463202</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>63</th>\n",
       "      <td>관악디자인거리</td>\n",
       "      <td>Gwanak-gu design street</td>\n",
       "      <td>서울시 관악구 낙성대동 일대</td>\n",
       "      <td>낙성대동</td>\n",
       "      <td>Jungang-dong</td>\n",
       "      <td>126.948986</td>\n",
       "      <td>37.482941</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>한강자전거도로(강서지구)</td>\n",
       "      <td>Hangang River cycle lane(Gangseo Area)</td>\n",
       "      <td>서울시 강서구 방화2동 일대</td>\n",
       "      <td>방화2동</td>\n",
       "      <td>Banghwa3-dong</td>\n",
       "      <td>126.813323</td>\n",
       "      <td>37.577337</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>둘레길순례길구간</td>\n",
       "      <td>Sullye-gil course</td>\n",
       "      <td>서울시 강북구 우이동 일대</td>\n",
       "      <td>우이동</td>\n",
       "      <td>Insu-dong</td>\n",
       "      <td>127.004600</td>\n",
       "      <td>37.637094</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>천호동로데오거리</td>\n",
       "      <td>Cheonho-dong</td>\n",
       "      <td>서울시 강동구 천호3동 일대</td>\n",
       "      <td>천호3동</td>\n",
       "      <td>Cheonho2-dong</td>\n",
       "      <td>127.126679</td>\n",
       "      <td>37.543179</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>한강자전거도로(광나루지구)</td>\n",
       "      <td>Hangang River cycle lane(Gwangnaru Area)</td>\n",
       "      <td>서울시 강동구 암사2동 일대</td>\n",
       "      <td>암사2동</td>\n",
       "      <td>Amsa3-dong</td>\n",
       "      <td>127.130833</td>\n",
       "      <td>37.557926</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>천호디자인거리</td>\n",
       "      <td>Cheonho design street</td>\n",
       "      <td>서울시 강동구 성내2동 일대</td>\n",
       "      <td>성내2동</td>\n",
       "      <td>Seongnae1-dong</td>\n",
       "      <td>127.128898</td>\n",
       "      <td>37.530483</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>당리순대국</td>\n",
       "      <td>Dangni Korean Blood Sausag Soup</td>\n",
       "      <td>서울시 강동구 명일2동 일대</td>\n",
       "      <td>명일2동</td>\n",
       "      <td>Myeongil2-dong</td>\n",
       "      <td>127.149692</td>\n",
       "      <td>37.548684</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>병천토속순대</td>\n",
       "      <td>Byeongcheon folk sundae</td>\n",
       "      <td>서울시 강동구 길동 일대</td>\n",
       "      <td>길동</td>\n",
       "      <td>Gil-dong</td>\n",
       "      <td>127.147047</td>\n",
       "      <td>37.538560</td>\n",
       "      <td>66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>71</th>\n",
       "      <td>청담동명품거리</td>\n",
       "      <td>Chengdam-dong luxury street</td>\n",
       "      <td>서울시 강남구 청담동 일대</td>\n",
       "      <td>청담동</td>\n",
       "      <td>Cheongdam-dong</td>\n",
       "      <td>127.052378</td>\n",
       "      <td>37.525406</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>테헤란로</td>\n",
       "      <td>Teheran-ro</td>\n",
       "      <td>서울시 강남구 역삼2동 일대</td>\n",
       "      <td>역삼2동</td>\n",
       "      <td>Yeoksam2-dong</td>\n",
       "      <td>127.038889</td>\n",
       "      <td>37.499866</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>가로수길</td>\n",
       "      <td>Garosu-gild Road</td>\n",
       "      <td>서울시 강남구 신사동 일대</td>\n",
       "      <td>신사동</td>\n",
       "      <td>Apgujeong-dong</td>\n",
       "      <td>127.029232</td>\n",
       "      <td>37.523825</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>논현동포차골목</td>\n",
       "      <td>Nonhyeondong cart bar Alley</td>\n",
       "      <td>서울시 강남구 논현1동 일대</td>\n",
       "      <td>논현1동</td>\n",
       "      <td>Nonhyeon2-dong</td>\n",
       "      <td>127.031196</td>\n",
       "      <td>37.513636</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>75 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         street_ko                                    street_en  \\\n",
       "0            남대문거리                        fishing-tackle street   \n",
       "1          왕십리곱창골목                     Wangsimni Gopchang Alley   \n",
       "2       남산공원북측순환도로                  The north side of Ring-Road   \n",
       "3             장충단길                             Jangchungdan-gil   \n",
       "4              초동길                                  Chodong-gil   \n",
       "5         신당동떡볶이골목                                Topokki alley   \n",
       "6              돌담길                                   Doldam-gil   \n",
       "7             명동거리                           Myeong-dong street   \n",
       "8         청계천헌책방거리  Cheonggye Stream secondhand bookshop street   \n",
       "9            필리핀거리                       The Philippines Street   \n",
       "10         북악산길산책로                                 Bugaksan-gil   \n",
       "11           청와대앞길                            Cheongwadaeap-gil   \n",
       "12       동대문생선구이골목                             Baked fish Alley   \n",
       "13         인사동문화마당                       Insadong Culture Plaza   \n",
       "14           대학로거리                             Daehak-ro street   \n",
       "15            삼청동길                       Samcheongdong-gil Road   \n",
       "16           경복궁뒷길             Gyeongbokgung Palace back street   \n",
       "17         북악산길산책로                                 Bugaksan-gil   \n",
       "18             계동길                                  Gyedong-gil   \n",
       "19          둘레길3구간                           Dulle-gil course 3   \n",
       "20        응암동감자탕골목             Yongam Pork Back-bone Stew Alley   \n",
       "21         불광동먹자골목                      Bulgwangdong food alley   \n",
       "22        연신내로데오거리                                 Rodeo Street   \n",
       "23            해맞이길                                  Haemaji-gil   \n",
       "24         용산감자탕거리             Yongsan Pork Back-bone Stew Road   \n",
       "25            경리단길                         Finance corps street   \n",
       "26           이태원거리                               Itaewon street   \n",
       "27            여의서로                                   Yeouiseoro   \n",
       "28        안양천제방벚꽃길                     Anyangcheon Beotkkot-gil   \n",
       "29         신길동홍어거리                                 Skate Street   \n",
       "..             ...                                          ...   \n",
       "45        서래마을카페거리                    Seorae Villag Cafe Street   \n",
       "46          신촌이대거리                          Sinchon Ewha Street   \n",
       "47         아현동웨딩거리             Ahyeon-dong Wedding Dress Street   \n",
       "48        연남동차이나타운                                    Chinatown   \n",
       "49          아현동전골목                            Ahyeon Coin Alley   \n",
       "50         홍대예술의거리                    Hongik Univ Street of Art   \n",
       "51         메타세콰이어길                             Metasequoia Road   \n",
       "52             현충로                                 Hyeonchungno   \n",
       "53         경희대파전골목                   Kyunghee Univ pajeon Alley   \n",
       "54             홍릉길                                Hongneung-gil   \n",
       "55         화랑로낙엽거리               Hwarangno fallen leaves street   \n",
       "56        가리봉로데오거리                                 Rodeo Street   \n",
       "57       가리봉동차이나타운                                    Chinatown   \n",
       "58          건대맛의거리                         Geondae taste Street   \n",
       "59         건대로데오거리                                 Rodeo Street   \n",
       "60             능동로                                  Neungdongno   \n",
       "61         봉천동먹자골목                    Bongcheon-dong food Alley   \n",
       "62       걷고싶은문화의거리           Pedestrian-Friendly Culture Street   \n",
       "63         관악디자인거리                      Gwanak-gu design street   \n",
       "64   한강자전거도로(강서지구)       Hangang River cycle lane(Gangseo Area)   \n",
       "65        둘레길순례길구간                            Sullye-gil course   \n",
       "66        천호동로데오거리                                 Cheonho-dong   \n",
       "67  한강자전거도로(광나루지구)     Hangang River cycle lane(Gwangnaru Area)   \n",
       "68         천호디자인거리                        Cheonho design street   \n",
       "69           당리순대국              Dangni Korean Blood Sausag Soup   \n",
       "70          병천토속순대                      Byeongcheon folk sundae   \n",
       "71         청담동명품거리                  Chengdam-dong luxury street   \n",
       "72            테헤란로                                   Teheran-ro   \n",
       "73            가로수길                             Garosu-gild Road   \n",
       "74         논현동포차골목                  Nonhyeondong cart bar Alley   \n",
       "\n",
       "                   address      dong_ko               dong_en         lng  \\\n",
       "0            서울시 중구 회현동 일대          회현동         Hoehyeon-dong  126.977432   \n",
       "1            서울시 중구 황학동 일대          황학동         Hwanghak-dong  127.020434   \n",
       "2             서울시 중구 필동 일대           필동         Gwanghui-dong  126.995925   \n",
       "3            서울시 중구 장충동 일대          장충동              Pil-dong  127.000575   \n",
       "4           서울시 중구 을지로동 일대         을지로동          Euljiro-dong  126.997646   \n",
       "5            서울시 중구 신당동 일대          신당동         Cheonggu-dong  127.013160   \n",
       "6            서울시 중구 소공동 일대          소공동           Sogong-dong  126.979934   \n",
       "7             서울시 중구 명동 일대           명동           Myeong-dong  126.978819   \n",
       "8            서울시 중구 광희동 일대          광희동         Gwanghui-dong  127.008111   \n",
       "9           서울시 종로구 혜화동 일대          혜화동  Jongno1.2.3.4ga-dong  126.992990   \n",
       "10          서울시 종로구 평창동 일대          평창동      Pyeongchang-dong  126.957402   \n",
       "11        서울시 종로구 청운효자동 일대        청운효자동    Cheongunhyoja-dong  126.968455   \n",
       "12      서울시 종로구 종로5.6가동 일대      종로5.6가동      Jongno5.6ga-dong  127.000190   \n",
       "13  서울시 종로구 종로1.2.3.4가동 일대  종로1.2.3.4가동  Jongno1.2.3.4ga-dong  126.987380   \n",
       "14          서울시 종로구 이화동 일대          이화동             Ihwa-dong  127.005411   \n",
       "15          서울시 종로구 삼청동 일대          삼청동        Samcheong-dong  126.980391   \n",
       "16          서울시 종로구 사직동 일대          사직동            Sajik-dong  126.972626   \n",
       "17          서울시 종로구 부암동 일대          부암동             Buam-dong  126.964084   \n",
       "18          서울시 종로구 가회동 일대          가회동            Gahoe-dong  126.984807   \n",
       "19          서울시 은평구 진관동 일대          진관동          Jingwan-dong  126.934096   \n",
       "20         서울시 은평구 응암3동 일대         응암3동          Eungam3-dong  126.921704   \n",
       "21         서울시 은평구 불광1동 일대         불광1동        Bulgwang1-dong  126.935391   \n",
       "22         서울시 은평구 갈현2동 일대         갈현2동        Galhyeon2-dong  126.912916   \n",
       "23          서울시 용산구 한남동 일대          한남동           Hannam-dong  127.005929   \n",
       "24         서울시 용산구 한강로동 일대         한강로동        Hangangno-dong  126.973064   \n",
       "25        서울시 용산구 이태원2동 일대        이태원2동         Itaewon2-dong  126.991664   \n",
       "26        서울시 용산구 이태원1동 일대        이태원1동         Itaewon2-dong  126.991704   \n",
       "27         서울시 영등포구 여의동 일대          여의동            Yeoui-dong  126.929428   \n",
       "28        서울시 영등포구 양평1동 일대         양평1동      Yangpyeong1-dong  126.888618   \n",
       "29        서울시 영등포구 신길4동 일대         신길4동          Singil4-dong  126.911534   \n",
       "..                     ...          ...                   ...         ...   \n",
       "45         서울시 서초구 반포4동 일대         반포4동           Banpo4-dong  127.001900   \n",
       "46         서울시 서대문구 신촌동 일대          신촌동          Sinchon-dong  126.946546   \n",
       "47        서울시 서대문구 북아현동 일대         북아현동       Chunghyeon-dong  126.954554   \n",
       "48          서울시 마포구 연남동 일대          연남동          Yeonnam-dong  126.922346   \n",
       "49          서울시 마포구 아현동 일대          아현동           Ahyeon-dong  126.956089   \n",
       "50          서울시 마포구 서교동 일대          서교동          Daheung-dong  126.937928   \n",
       "51          서울시 마포구 상암동 일대          상암동           Sangam-dong  126.872594   \n",
       "52         서울시 동작구 사당2동 일대         사당2동          Sadang2-dong  126.973605   \n",
       "53        서울시 동대문구 휘경1동 일대         휘경1동       Hwigyeong2-dong  127.062599   \n",
       "54        서울시 동대문구 청량리동 일대         청량리동    Cheongnyangni-dong  127.046390   \n",
       "55         서울시 노원구 공릉2동 일대         공릉2동       Gongneung2-dong  127.087693   \n",
       "56          서울시 금천구 가산동 일대          가산동            Gasan-dong  126.884235   \n",
       "57         서울시 구로구 가리봉동 일대         가리봉동         Garibong-dong  126.887307   \n",
       "58          서울시 광진구 화양동 일대          화양동          Hwayang-dong  127.072736   \n",
       "59         서울시 광진구 자양4동 일대         자양4동          Jayang1-dong  127.080215   \n",
       "60           서울시 광진구 능동 일대           능동            Neung-dong  127.082462   \n",
       "61          서울시 관악구 행운동 일대          행운동          Jungang-dong  126.948986   \n",
       "62          서울시 관악구 신림동 일대          신림동         Samseong-dong  126.934598   \n",
       "63         서울시 관악구 낙성대동 일대         낙성대동          Jungang-dong  126.948986   \n",
       "64         서울시 강서구 방화2동 일대         방화2동         Banghwa3-dong  126.813323   \n",
       "65          서울시 강북구 우이동 일대          우이동             Insu-dong  127.004600   \n",
       "66         서울시 강동구 천호3동 일대         천호3동         Cheonho2-dong  127.126679   \n",
       "67         서울시 강동구 암사2동 일대         암사2동            Amsa3-dong  127.130833   \n",
       "68         서울시 강동구 성내2동 일대         성내2동        Seongnae1-dong  127.128898   \n",
       "69         서울시 강동구 명일2동 일대         명일2동        Myeongil2-dong  127.149692   \n",
       "70           서울시 강동구 길동 일대           길동              Gil-dong  127.147047   \n",
       "71          서울시 강남구 청담동 일대          청담동        Cheongdam-dong  127.052378   \n",
       "72         서울시 강남구 역삼2동 일대         역삼2동         Yeoksam2-dong  127.038889   \n",
       "73          서울시 강남구 신사동 일대          신사동        Apgujeong-dong  127.029232   \n",
       "74         서울시 강남구 논현1동 일대         논현1동        Nonhyeon2-dong  127.031196   \n",
       "\n",
       "          lat  score  \n",
       "0   37.558050     80  \n",
       "1   37.568610     68  \n",
       "2   37.561350     55  \n",
       "3   37.561386     87  \n",
       "4   37.566410      4  \n",
       "5   37.557255     41  \n",
       "6   37.564130     34  \n",
       "7   37.568059     97  \n",
       "8   37.569502     54  \n",
       "9   37.581990      3  \n",
       "10  37.617896     32  \n",
       "11  37.589673      3  \n",
       "12  37.573690     43  \n",
       "13  37.574403     97  \n",
       "14  37.577132     99  \n",
       "15  37.582810     65  \n",
       "16  37.578390     63  \n",
       "17  37.592346     56  \n",
       "18  37.582612     23  \n",
       "19  37.638680     16  \n",
       "20  37.592642      1  \n",
       "21  37.619201     21  \n",
       "22  37.620971     17  \n",
       "23  37.535397      7  \n",
       "24  37.531945      5  \n",
       "25  37.539718     99  \n",
       "26  37.538994     99  \n",
       "27  37.528313      8  \n",
       "28  37.523203     16  \n",
       "29  37.505977     14  \n",
       "..        ...    ...  \n",
       "45  37.504695     87  \n",
       "46  37.561111     92  \n",
       "47  37.563799     32  \n",
       "48  37.563108     22  \n",
       "49  37.554602     33  \n",
       "50  37.554241     99  \n",
       "51  37.571498     43  \n",
       "52  37.500688     26  \n",
       "53  37.588832     68  \n",
       "54  37.588198     23  \n",
       "55  37.630593     42  \n",
       "56  37.475038     32  \n",
       "57  37.482833     12  \n",
       "58  37.543322     84  \n",
       "59  37.531921     65  \n",
       "60  37.551050     24  \n",
       "61  37.482941     64  \n",
       "62  37.463202     72  \n",
       "63  37.482941     23  \n",
       "64  37.577337     53  \n",
       "65  37.637094     36  \n",
       "66  37.543179     65  \n",
       "67  37.557926     32  \n",
       "68  37.530483     56  \n",
       "69  37.548684     34  \n",
       "70  37.538560     66  \n",
       "71  37.525406     76  \n",
       "72  37.499866     43  \n",
       "73  37.523825     98  \n",
       "74  37.513636     88  \n",
       "\n",
       "[75 rows x 8 columns]"
      ]
     },
     "execution_count": 322,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_spot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Viz Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 323,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_e878270c55a740edb1def5266517eafd = L.popup({maxWidth: '300'});

            
                var html_21475d2c61814698be9b4d3d01ba1cbf = $('         <div id="html_21475d2c61814698be9b4d3d01ba1cbf"                 style="width: 100.0%; height: 100.0%;">                 Doldam-gil // Score : 34 </div>                 ')[0];
                popup_e878270c55a740edb1def5266517eafd.setContent(html_21475d2c61814698be9b4d3d01ba1cbf);
            

            marker_4fbb53fcfe2b4cc780ce97a4e6a047f5.bindPopup(popup_e878270c55a740edb1def5266517eafd);

            
        
        
            

            var marker_c40b99e79e6e4fb0aa818a147ee78b2b = L.marker(
                [37.568058597,126.9788194313],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_b0d5a950268e4d3bb7cb8818624052e7 = L.popup({maxWidth: '300'});

            
                var html_8555ac9194fb45e997492b9fb520344a = $('         <div id="html_8555ac9194fb45e997492b9fb520344a"                 style="width: 100.0%; height: 100.0%;">                 Myeong-dong street // Score : 97 </div>                 ')[0];
                popup_b0d5a950268e4d3bb7cb8818624052e7.setContent(html_8555ac9194fb45e997492b9fb520344a);
            

            marker_c40b99e79e6e4fb0aa818a147ee78b2b.bindPopup(popup_b0d5a950268e4d3bb7cb8818624052e7);

            
        
        
            

            var marker_72c34d45dc554f01b5f3d7fc1c25538a = L.marker(
                [37.5695018,127.0081106],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_35dfd414a63f4b0599998e640cff23d0 = L.popup({maxWidth: '300'});

            
                var html_554f5b41c0f34237b0deb35f835088b5 = $('         <div id="html_554f5b41c0f34237b0deb35f835088b5"                 style="width: 100.0%; height: 100.0%;">                 Cheonggye Stream secondhand bookshop street // Score : 54 </div>                 ')[0];
                popup_35dfd414a63f4b0599998e640cff23d0.setContent(html_554f5b41c0f34237b0deb35f835088b5);
            

            marker_72c34d45dc554f01b5f3d7fc1c25538a.bindPopup(popup_35dfd414a63f4b0599998e640cff23d0);

            
        
        
            

            var marker_494dff31b8e643aab4fb3f6a2ba3c008 = L.marker(
                [37.5819896661,126.9929898185],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_cd7e1fa84d5c41869ba8428bd27ee1ae = L.popup({maxWidth: '300'});

            
                var html_d58b4dccd39a4b4c8787dfe8cb9a4d64 = $('         <div id="html_d58b4dccd39a4b4c8787dfe8cb9a4d64"                 style="width: 100.0%; height: 100.0%;">                 The Philippines Street // Score : 3 </div>                 ')[0];
                popup_cd7e1fa84d5c41869ba8428bd27ee1ae.setContent(html_d58b4dccd39a4b4c8787dfe8cb9a4d64);
            

            marker_494dff31b8e643aab4fb3f6a2ba3c008.bindPopup(popup_cd7e1fa84d5c41869ba8428bd27ee1ae);

            
        
        
            

            var marker_753ddd57176c45f38273ee8ead69a2b1 = L.marker(
                [37.6178956805,126.957402192],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_d412c4ee4825487093e5f4edb0ecfc11 = L.popup({maxWidth: '300'});

            
                var html_99124d950b5b4ec0b07d798e50026b8a = $('         <div id="html_99124d950b5b4ec0b07d798e50026b8a"                 style="width: 100.0%; height: 100.0%;">                 Bugaksan-gil // Score : 32 </div>                 ')[0];
                popup_d412c4ee4825487093e5f4edb0ecfc11.setContent(html_99124d950b5b4ec0b07d798e50026b8a);
            

            marker_753ddd57176c45f38273ee8ead69a2b1.bindPopup(popup_d412c4ee4825487093e5f4edb0ecfc11);

            
        
        
            

            var marker_b1f77ca294c3416e965715b171b6e900 = L.marker(
                [37.589672931399996,126.9684554703],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_7bd9a7e735be46f79610ecfe0a900996 = L.popup({maxWidth: '300'});

            
                var html_481c5e8134594f99ac3e26899f2d48df = $('         <div id="html_481c5e8134594f99ac3e26899f2d48df"                 style="width: 100.0%; height: 100.0%;">                 Cheongwadaeap-gil // Score : 3 </div>                 ')[0];
                popup_7bd9a7e735be46f79610ecfe0a900996.setContent(html_481c5e8134594f99ac3e26899f2d48df);
            

            marker_b1f77ca294c3416e965715b171b6e900.bindPopup(popup_7bd9a7e735be46f79610ecfe0a900996);

            
        
        
            

            var marker_226bc29e4ef44d13b40adbeae7e70f97 = L.marker(
                [37.5736899154,127.0001901776],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_2fcde19d77304bf0ad2733420d31243d = L.popup({maxWidth: '300'});

            
                var html_8c24f23163074389b971cfbf32a38b39 = $('         <div id="html_8c24f23163074389b971cfbf32a38b39"                 style="width: 100.0%; height: 100.0%;">                 Baked fish Alley // Score : 43 </div>                 ')[0];
                popup_2fcde19d77304bf0ad2733420d31243d.setContent(html_8c24f23163074389b971cfbf32a38b39);
            

            marker_226bc29e4ef44d13b40adbeae7e70f97.bindPopup(popup_2fcde19d77304bf0ad2733420d31243d);

            
        
        
            

            var marker_b2b4fe7d3ea548bdb32bde957d73fdb6 = L.marker(
                [37.5744028289,126.9873802368],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_1dd8ee2c20504a5299921828399cc4fc = L.popup({maxWidth: '300'});

            
                var html_7014cac84a0d4c918d141369ff25a0f5 = $('         <div id="html_7014cac84a0d4c918d141369ff25a0f5"                 style="width: 100.0%; height: 100.0%;">                 Insadong Culture Plaza // Score : 97 </div>                 ')[0];
                popup_1dd8ee2c20504a5299921828399cc4fc.setContent(html_7014cac84a0d4c918d141369ff25a0f5);
            

            marker_b2b4fe7d3ea548bdb32bde957d73fdb6.bindPopup(popup_1dd8ee2c20504a5299921828399cc4fc);

            
        
        
            

            var marker_94e284207ecb41e3925548702439c953 = L.marker(
                [37.5771315908,127.0054112549],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_281405c7a5634944b43aaf15a0447eb0 = L.popup({maxWidth: '300'});

            
                var html_2349a52db85d4849947b5bb46756373d = $('         <div id="html_2349a52db85d4849947b5bb46756373d"                 style="width: 100.0%; height: 100.0%;">                 Daehak-ro street // Score : 99 </div>                 ')[0];
                popup_281405c7a5634944b43aaf15a0447eb0.setContent(html_2349a52db85d4849947b5bb46756373d);
            

            marker_94e284207ecb41e3925548702439c953.bindPopup(popup_281405c7a5634944b43aaf15a0447eb0);

            
        
        
            

            var marker_6fe1d91321ac4ef8aaca950f9bab52a4 = L.marker(
                [37.5828099517,126.9803912024],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_cfd4090e234c4448888cc61ea21e357e = L.popup({maxWidth: '300'});

            
                var html_82d9a91fdeee458ca641adc5c5c863c8 = $('         <div id="html_82d9a91fdeee458ca641adc5c5c863c8"                 style="width: 100.0%; height: 100.0%;">                 Samcheongdong-gil Road // Score : 65 </div>                 ')[0];
                popup_cfd4090e234c4448888cc61ea21e357e.setContent(html_82d9a91fdeee458ca641adc5c5c863c8);
            

            marker_6fe1d91321ac4ef8aaca950f9bab52a4.bindPopup(popup_cfd4090e234c4448888cc61ea21e357e);

            
        
        
            

            var marker_544200e0b454433cbfc948df12070516 = L.marker(
                [37.578389933000004,126.97262628780001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_325f802fa3e346589689676293b532b6 = L.popup({maxWidth: '300'});

            
                var html_8a3356c0fbff43b59182867224444080 = $('         <div id="html_8a3356c0fbff43b59182867224444080"                 style="width: 100.0%; height: 100.0%;">                 Gyeongbokgung Palace back street // Score : 63 </div>                 ')[0];
                popup_325f802fa3e346589689676293b532b6.setContent(html_8a3356c0fbff43b59182867224444080);
            

            marker_544200e0b454433cbfc948df12070516.bindPopup(popup_325f802fa3e346589689676293b532b6);

            
        
        
            

            var marker_06b069ca431143ada257c62f8b33664b = L.marker(
                [37.5923458269,126.9640836947],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_a7573c8be9bb4ea1a091d5eebd003afc = L.popup({maxWidth: '300'});

            
                var html_632f808d1c0c4e9496dc95921c78e4f7 = $('         <div id="html_632f808d1c0c4e9496dc95921c78e4f7"                 style="width: 100.0%; height: 100.0%;">                 Bugaksan-gil // Score : 56 </div>                 ')[0];
                popup_a7573c8be9bb4ea1a091d5eebd003afc.setContent(html_632f808d1c0c4e9496dc95921c78e4f7);
            

            marker_06b069ca431143ada257c62f8b33664b.bindPopup(popup_a7573c8be9bb4ea1a091d5eebd003afc);

            
        
        
            

            var marker_e6db5364d52e45ad945aef686faf9dd2 = L.marker(
                [37.582612384,126.9848066184],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_d3fbd29c8fbe49d498136345c802c573 = L.popup({maxWidth: '300'});

            
                var html_7210785fed10491fb0fbf06c2d8ea5d7 = $('         <div id="html_7210785fed10491fb0fbf06c2d8ea5d7"                 style="width: 100.0%; height: 100.0%;">                 Gyedong-gil // Score : 23 </div>                 ')[0];
                popup_d3fbd29c8fbe49d498136345c802c573.setContent(html_7210785fed10491fb0fbf06c2d8ea5d7);
            

            marker_e6db5364d52e45ad945aef686faf9dd2.bindPopup(popup_d3fbd29c8fbe49d498136345c802c573);

            
        
        
            

            var marker_850793b23c324a68ad8ec0a0f9b4ef5e = L.marker(
                [37.638679730700005,126.9340959558],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_7720cc405eb84b20a25d32af3289cf60 = L.popup({maxWidth: '300'});

            
                var html_33a5593c4cdc429aba17a79a4eb34e23 = $('         <div id="html_33a5593c4cdc429aba17a79a4eb34e23"                 style="width: 100.0%; height: 100.0%;">                 Dulle-gil course 3 // Score : 16 </div>                 ')[0];
                popup_7720cc405eb84b20a25d32af3289cf60.setContent(html_33a5593c4cdc429aba17a79a4eb34e23);
            

            marker_850793b23c324a68ad8ec0a0f9b4ef5e.bindPopup(popup_7720cc405eb84b20a25d32af3289cf60);

            
        
        
            

            var marker_fee3477ddd94482d85dcc099ac23bce0 = L.marker(
                [37.592642472,126.92170396040001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_a99238bdb45042a287b2c781c7dc8f63 = L.popup({maxWidth: '300'});

            
                var html_c5ae1c23580642feb1eab844520437fb = $('         <div id="html_c5ae1c23580642feb1eab844520437fb"                 style="width: 100.0%; height: 100.0%;">                 Yongam Pork Back-bone Stew Alley // Score : 1 </div>                 ')[0];
                popup_a99238bdb45042a287b2c781c7dc8f63.setContent(html_c5ae1c23580642feb1eab844520437fb);
            

            marker_fee3477ddd94482d85dcc099ac23bce0.bindPopup(popup_a99238bdb45042a287b2c781c7dc8f63);

            
        
        
            

            var marker_1aa9ad7cf9004018b0ea06acf2e810e2 = L.marker(
                [37.6192011241,126.9353908377],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_e113f6a2577f4d278018e27492180760 = L.popup({maxWidth: '300'});

            
                var html_7010961ea1214cadbe969a36934534b8 = $('         <div id="html_7010961ea1214cadbe969a36934534b8"                 style="width: 100.0%; height: 100.0%;">                 Bulgwangdong food alley // Score : 21 </div>                 ')[0];
                popup_e113f6a2577f4d278018e27492180760.setContent(html_7010961ea1214cadbe969a36934534b8);
            

            marker_1aa9ad7cf9004018b0ea06acf2e810e2.bindPopup(popup_e113f6a2577f4d278018e27492180760);

            
        
        
            

            var marker_450ace24850440489095832b4aa08a88 = L.marker(
                [37.6209706338,126.9129160256],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_b15f5f4f8f924d92acfc9302748f2996 = L.popup({maxWidth: '300'});

            
                var html_dc7246652cde4754b746d564592bfee9 = $('         <div id="html_dc7246652cde4754b746d564592bfee9"                 style="width: 100.0%; height: 100.0%;">                 Rodeo Street // Score : 17 </div>                 ')[0];
                popup_b15f5f4f8f924d92acfc9302748f2996.setContent(html_dc7246652cde4754b746d564592bfee9);
            

            marker_450ace24850440489095832b4aa08a88.bindPopup(popup_b15f5f4f8f924d92acfc9302748f2996);

            
        
        
            

            var marker_bda16c9d52914734a792edd87713c65f = L.marker(
                [37.5353973609,127.0059286959],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_7adfe263637344f786871e7f34c8c726 = L.popup({maxWidth: '300'});

            
                var html_6cd5b66667d447f19bee13712c6885a1 = $('         <div id="html_6cd5b66667d447f19bee13712c6885a1"                 style="width: 100.0%; height: 100.0%;">                 Haemaji-gil // Score : 7 </div>                 ')[0];
                popup_7adfe263637344f786871e7f34c8c726.setContent(html_6cd5b66667d447f19bee13712c6885a1);
            

            marker_bda16c9d52914734a792edd87713c65f.bindPopup(popup_7adfe263637344f786871e7f34c8c726);

            
        
        
            

            var marker_20bd83314fe34646909bd92cb1c18062 = L.marker(
                [37.5319454062,126.97306414379999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_5e80d84f077a42569e1d1d6fcb7c50bd = L.popup({maxWidth: '300'});

            
                var html_17f270dfdf864725bbf674e0ad56c31b = $('         <div id="html_17f270dfdf864725bbf674e0ad56c31b"                 style="width: 100.0%; height: 100.0%;">                 Yongsan Pork Back-bone Stew Road // Score : 5 </div>                 ')[0];
                popup_5e80d84f077a42569e1d1d6fcb7c50bd.setContent(html_17f270dfdf864725bbf674e0ad56c31b);
            

            marker_20bd83314fe34646909bd92cb1c18062.bindPopup(popup_5e80d84f077a42569e1d1d6fcb7c50bd);

            
        
        
            

            var marker_becf5ab3941f4894951347e48b525ad0 = L.marker(
                [37.539718,126.99166409999998],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_490f30e71fc648cca08a7ddf8b3d1cf6 = L.popup({maxWidth: '300'});

            
                var html_a34b4ec35d454fd19cdc81a2f94e1b4c = $('         <div id="html_a34b4ec35d454fd19cdc81a2f94e1b4c"                 style="width: 100.0%; height: 100.0%;">                 Finance corps street // Score : 99 </div>                 ')[0];
                popup_490f30e71fc648cca08a7ddf8b3d1cf6.setContent(html_a34b4ec35d454fd19cdc81a2f94e1b4c);
            

            marker_becf5ab3941f4894951347e48b525ad0.bindPopup(popup_490f30e71fc648cca08a7ddf8b3d1cf6);

            
        
        
            

            var marker_8a98a0d493544070addbacb5d65daa20 = L.marker(
                [37.5389940111,126.99170395200001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_66656db49e6b4d4bb14ffe8ef71c472a = L.popup({maxWidth: '300'});

            
                var html_4edaceb76cfd49148ec4549d8f6ce524 = $('         <div id="html_4edaceb76cfd49148ec4549d8f6ce524"                 style="width: 100.0%; height: 100.0%;">                 Itaewon street // Score : 99 </div>                 ')[0];
                popup_66656db49e6b4d4bb14ffe8ef71c472a.setContent(html_4edaceb76cfd49148ec4549d8f6ce524);
            

            marker_8a98a0d493544070addbacb5d65daa20.bindPopup(popup_66656db49e6b4d4bb14ffe8ef71c472a);

            
        
        
            

            var marker_a31f05cec66947a68af3876936170e79 = L.marker(
                [37.528312574699996,126.9294280442],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_8cda04430d5e4f648fd1e04a04ff5478 = L.popup({maxWidth: '300'});

            
                var html_f686bfc833be4a7bb1b235dd992a5074 = $('         <div id="html_f686bfc833be4a7bb1b235dd992a5074"                 style="width: 100.0%; height: 100.0%;">                 Yeouiseoro // Score : 8 </div>                 ')[0];
                popup_8cda04430d5e4f648fd1e04a04ff5478.setContent(html_f686bfc833be4a7bb1b235dd992a5074);
            

            marker_a31f05cec66947a68af3876936170e79.bindPopup(popup_8cda04430d5e4f648fd1e04a04ff5478);

            
        
        
            

            var marker_e92a93af3e664571a3afee33f012e385 = L.marker(
                [37.5232030914,126.8886175026],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_d345b9da7cc947a9873b301b0cfb477e = L.popup({maxWidth: '300'});

            
                var html_4bcabbdf0d784084a0c0c4e6d77b3f00 = $('         <div id="html_4bcabbdf0d784084a0c0c4e6d77b3f00"                 style="width: 100.0%; height: 100.0%;">                 Anyangcheon Beotkkot-gil // Score : 16 </div>                 ')[0];
                popup_d345b9da7cc947a9873b301b0cfb477e.setContent(html_4bcabbdf0d784084a0c0c4e6d77b3f00);
            

            marker_e92a93af3e664571a3afee33f012e385.bindPopup(popup_d345b9da7cc947a9873b301b0cfb477e);

            
        
        
            

            var marker_d1452f558865471597cd5114dcc8905c = L.marker(
                [37.5059772708,126.91153425510001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_ecb46568c7f444e18f8e8c38ec89b8af = L.popup({maxWidth: '300'});

            
                var html_f4873ea608ea438182dfd0f465b0b3ab = $('         <div id="html_f4873ea608ea438182dfd0f465b0b3ab"                 style="width: 100.0%; height: 100.0%;">                 Skate Street // Score : 14 </div>                 ')[0];
                popup_ecb46568c7f444e18f8e8c38ec89b8af.setContent(html_f4873ea608ea438182dfd0f465b0b3ab);
            

            marker_d1452f558865471597cd5114dcc8905c.bindPopup(popup_ecb46568c7f444e18f8e8c38ec89b8af);

            
        
        
            

            var marker_43d47987e51d43228fcc4787f607bbf2 = L.marker(
                [37.4967500548,126.90127705190001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_d6d95327ab4e42daa6929cffbfcfb74a = L.popup({maxWidth: '300'});

            
                var html_0af0fdb9fac64524be0683f06eb537fa = $('         <div id="html_0af0fdb9fac64524be0683f06eb537fa"                 style="width: 100.0%; height: 100.0%;">                 Chinatown // Score : 15 </div>                 ')[0];
                popup_d6d95327ab4e42daa6929cffbfcfb74a.setContent(html_0af0fdb9fac64524be0683f06eb537fa);
            

            marker_43d47987e51d43228fcc4787f607bbf2.bindPopup(popup_d6d95327ab4e42daa6929cffbfcfb74a);

            
        
        
            

            var marker_8af26c286a4d467aa2d4d5f94835ffa7 = L.marker(
                [37.52168028,126.89848402959998],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_3dd7ef1b590647ef940791d7d5d88b72 = L.popup({maxWidth: '300'});

            
                var html_c0c6d80af097425aaf842c7359f236e1 = $('         <div id="html_c0c6d80af097425aaf842c7359f236e1"                 style="width: 100.0%; height: 100.0%;">                 Sinuiju Korean Sausage with Sweet Rice // Score : 5 </div>                 ')[0];
                popup_3dd7ef1b590647ef940791d7d5d88b72.setContent(html_c0c6d80af097425aaf842c7359f236e1);
            

            marker_8af26c286a4d467aa2d4d5f94835ffa7.bindPopup(popup_3dd7ef1b590647ef940791d7d5d88b72);

            
        
        
            

            var marker_976c79edc92249f0b9947159cd4fe0ef = L.marker(
                [37.516577197,126.86298654209999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_218c193f434b4d5f8d2f636b9c48dd80 = L.popup({maxWidth: '300'});

            
                var html_88c2cd0bc5fa449cb0cb3d72dcc181c4 = $('         <div id="html_88c2cd0bc5fa449cb0cb3d72dcc181c4"                 style="width: 100.0%; height: 100.0%;">                 Mok-dong Rodeo Street // Score : 42 </div>                 ')[0];
                popup_218c193f434b4d5f8d2f636b9c48dd80.setContent(html_88c2cd0bc5fa449cb0cb3d72dcc181c4);
            

            marker_976c79edc92249f0b9947159cd4fe0ef.bindPopup(popup_218c193f434b4d5f8d2f636b9c48dd80);

            
        
        
            

            var marker_2d342c5a862d435fbb3e268eb2c3cc26 = L.marker(
                [37.5365973016,126.87589368530001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_ea79a9d310e34ac28752eba0550b5f6e = L.popup({maxWidth: '300'});

            
                var html_3003de97983d48e6b000351b51c48c27 = $('         <div id="html_3003de97983d48e6b000351b51c48c27"                 style="width: 100.0%; height: 100.0%;">                 Teenager Culture Street // Score : 7 </div>                 ')[0];
                popup_ea79a9d310e34ac28752eba0550b5f6e.setContent(html_3003de97983d48e6b000351b51c48c27);
            

            marker_2d342c5a862d435fbb3e268eb2c3cc26.bindPopup(popup_ea79a9d310e34ac28752eba0550b5f6e);

            
        
        
            

            var marker_67b7d9fb59cd454b8cb944ce8ad3f441 = L.marker(
                [37.5039643623,127.10402531870001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_6d6957535fc044eaadc463210174043a = L.popup({maxWidth: '300'});

            
                var html_9101f1bfdbe84f038d245300f7b3eb21 = $('         <div id="html_9101f1bfdbe84f038d245300f7b3eb21"                 style="width: 100.0%; height: 100.0%;">                 Seokchonhosu-gil // Score : 87 </div>                 ')[0];
                popup_6d6957535fc044eaadc463210174043a.setContent(html_9101f1bfdbe84f038d245300f7b3eb21);
            

            marker_67b7d9fb59cd454b8cb944ce8ad3f441.bindPopup(popup_6d6957535fc044eaadc463210174043a);

            
        
        
            

            var marker_953723c263664e2fbdcfbf693b39d0d2 = L.marker(
                [37.5163186648,127.126461696],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_0e889331097a44a098db67ad85f1b865 = L.popup({maxWidth: '300'});

            
                var html_5bbe0eb368e64ad59534122804ba90a6 = $('         <div id="html_5bbe0eb368e64ad59534122804ba90a6"                 style="width: 100.0%; height: 100.0%;">                 Bangi-dong motel village // Score : 8 </div>                 ')[0];
                popup_0e889331097a44a098db67ad85f1b865.setContent(html_5bbe0eb368e64ad59534122804ba90a6);
            

            marker_953723c263664e2fbdcfbf693b39d0d2.bindPopup(popup_0e889331097a44a098db67ad85f1b865);

            
        
        
            

            var marker_40f3cae4687e4b8aac84a207a59b4748 = L.marker(
                [37.485404346799996,127.1221039568],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_999062f5c7514f42b45de861cfa12715 = L.popup({maxWidth: '300'});

            
                var html_c69d67e2924a4553ad71e2ca9760f654 = $('         <div id="html_c69d67e2924a4553ad71e2ca9760f654"                 style="width: 100.0%; height: 100.0%;">                 Munjeong-dong Rodeo Street // Score : 23 </div>                 ')[0];
                popup_999062f5c7514f42b45de861cfa12715.setContent(html_c69d67e2924a4553ad71e2ca9760f654);
            

            marker_40f3cae4687e4b8aac84a207a59b4748.bindPopup(popup_999062f5c7514f42b45de861cfa12715);

            
        
        
            

            var marker_8bf71dea2ce24dc69d3e14b637690ed8 = L.marker(
                [37.6168942335,126.99739487219999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_e568bef7149040cf94920aa5dd588592 = L.popup({maxWidth: '300'});

            
                var html_bcf19dc4a7cb41ac8c7d221b41e3ff75 = $('         <div id="html_bcf19dc4a7cb41ac8c7d221b41e3ff75"                 style="width: 100.0%; height: 100.0%;">                 Dulle-gil Course 1 // Score : 22 </div>                 ')[0];
                popup_e568bef7149040cf94920aa5dd588592.setContent(html_bcf19dc4a7cb41ac8c7d221b41e3ff75);
            

            marker_8bf71dea2ce24dc69d3e14b637690ed8.bindPopup(popup_e568bef7149040cf94920aa5dd588592);

            
        
        
            

            var marker_891fa10125164874a76b42a7641a9dbb = L.marker(
                [37.59692086,126.9921504705],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_5754c34ebf404660950c607d05ef49da = L.popup({maxWidth: '300'});

            
                var html_b9acde6eb99847aab26431ec4fa7cda9 = $('         <div id="html_b9acde6eb99847aab26431ec4fa7cda9"                 style="width: 100.0%; height: 100.0%;">                 Seongbukdong-gil // Score : 65 </div>                 ')[0];
                popup_5754c34ebf404660950c607d05ef49da.setContent(html_b9acde6eb99847aab26431ec4fa7cda9);
            

            marker_891fa10125164874a76b42a7641a9dbb.bindPopup(popup_5754c34ebf404660950c607d05ef49da);

            
        
        
            

            var marker_c2336601089843cf888bc9a9e0b92a1f = L.marker(
                [37.5971607572,127.02078116370001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_0962a6b76ed3457fa1a8eaca192e46c1 = L.popup({maxWidth: '300'});

            
                var html_40460f8baf1a40dc89739403b7d1bca6 = $('         <div id="html_40460f8baf1a40dc89739403b7d1bca6"                 style="width: 100.0%; height: 100.0%;">                 Jangsu-gil // Score : 14 </div>                 ')[0];
                popup_0962a6b76ed3457fa1a8eaca192e46c1.setContent(html_40460f8baf1a40dc89739403b7d1bca6);
            

            marker_c2336601089843cf888bc9a9e0b92a1f.bindPopup(popup_0962a6b76ed3457fa1a8eaca192e46c1);

            
        
        
            

            var marker_53f6bb34d3794b738287ca41e230fa98 = L.marker(
                [37.553693510900004,127.06129325170001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_ed72b0355a90470b8601dc12140e2220 = L.popup({maxWidth: '300'});

            
                var html_a0032b1c62a14aff826879dc136cb2fa = $('         <div id="html_a0032b1c62a14aff826879dc136cb2fa"                 style="width: 100.0%; height: 100.0%;">                 Rodeo Street // Score : 23 </div>                 ')[0];
                popup_ed72b0355a90470b8601dc12140e2220.setContent(html_a0032b1c62a14aff826879dc136cb2fa);
            

            marker_53f6bb34d3794b738287ca41e230fa98.bindPopup(popup_ed72b0355a90470b8601dc12140e2220);

            
        
        
            

            var marker_6160bb2d82d74d96a8c6820500881be8 = L.marker(
                [37.5670083299,127.040689845],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_d33a929634274e9984262747763943e5 = L.popup({maxWidth: '300'});

            
                var html_ddeb5f181f7c42968f480e3f01a0c7f2 = $('         <div id="html_ddeb5f181f7c42968f480e3f01a0c7f2"                 style="width: 100.0%; height: 100.0%;">                 Majang-dong food alley // Score : 89 </div>                 ')[0];
                popup_d33a929634274e9984262747763943e5.setContent(html_ddeb5f181f7c42968f480e3f01a0c7f2);
            

            marker_6160bb2d82d74d96a8c6820500881be8.bindPopup(popup_d33a929634274e9984262747763943e5);

            
        
        
            

            var marker_adfad7dae4ed45b1ae9498d655739ace = L.marker(
                [37.515081363,127.00906256350001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_da3a05a2502140faaa8f368a7da115f8 = L.popup({maxWidth: '300'});

            
                var html_0623c43de7bf4f998d44dafa7712cc4e = $('         <div id="html_0623c43de7bf4f998d44dafa7712cc4e"                 style="width: 100.0%; height: 100.0%;">                 Agujjim Alley // Score : 23 </div>                 ')[0];
                popup_da3a05a2502140faaa8f368a7da115f8.setContent(html_0623c43de7bf4f998d44dafa7712cc4e);
            

            marker_adfad7dae4ed45b1ae9498d655739ace.bindPopup(popup_da3a05a2502140faaa8f368a7da115f8);

            
        
        
            

            var marker_4d65d57954214cf190efb05aac24e892 = L.marker(
                [37.4885117081,127.01642714370001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_413936ba630847dca419e49612f65d8c = L.popup({maxWidth: '300'});

            
                var html_14757a4906f54a999c246cbac1114e9b = $('         <div id="html_14757a4906f54a999c246cbac1114e9b"                 style="width: 100.0%; height: 100.0%;">                 Gangnam Station food alley // Score : 84 </div>                 ')[0];
                popup_413936ba630847dca419e49612f65d8c.setContent(html_14757a4906f54a999c246cbac1114e9b);
            

            marker_4d65d57954214cf190efb05aac24e892.bindPopup(popup_413936ba630847dca419e49612f65d8c);

            
        
        
            

            var marker_74b3bd9daabe4a8686f853126756c250 = L.marker(
                [37.478799829699994,126.9940983899],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_270d98a3bdc240e183e828701782c26d = L.popup({maxWidth: '300'});

            
                var html_e220362cee8d4d8a8050c7daac534f91 = $('         <div id="html_e220362cee8d4d8a8050c7daac534f91"                 style="width: 100.0%; height: 100.0%;">                 Bangbae-dong café street // Score : 74 </div>                 ')[0];
                popup_270d98a3bdc240e183e828701782c26d.setContent(html_e220362cee8d4d8a8050c7daac534f91);
            

            marker_74b3bd9daabe4a8686f853126756c250.bindPopup(popup_270d98a3bdc240e183e828701782c26d);

            
        
        
            

            var marker_10ed1295d00e48f399edd55a2f5ab81f = L.marker(
                [37.5046949142,127.00190002459999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_affb043845864c2c8d8cd395e7dacec8 = L.popup({maxWidth: '300'});

            
                var html_682d26abdaf740509c7ad0e66b4d3ef4 = $('         <div id="html_682d26abdaf740509c7ad0e66b4d3ef4"                 style="width: 100.0%; height: 100.0%;">                 Seorae Villag Cafe Street // Score : 87 </div>                 ')[0];
                popup_affb043845864c2c8d8cd395e7dacec8.setContent(html_682d26abdaf740509c7ad0e66b4d3ef4);
            

            marker_10ed1295d00e48f399edd55a2f5ab81f.bindPopup(popup_affb043845864c2c8d8cd395e7dacec8);

            
        
        
            

            var marker_7d0cd38468164945a1443b8fee67f089 = L.marker(
                [37.5611107256,126.9465464425],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_218c2e7f72f041099b9557de6057e18c = L.popup({maxWidth: '300'});

            
                var html_1df4e82e67e24fc6b353a8e9667a9560 = $('         <div id="html_1df4e82e67e24fc6b353a8e9667a9560"                 style="width: 100.0%; height: 100.0%;">                 Sinchon Ewha Street // Score : 92 </div>                 ')[0];
                popup_218c2e7f72f041099b9557de6057e18c.setContent(html_1df4e82e67e24fc6b353a8e9667a9560);
            

            marker_7d0cd38468164945a1443b8fee67f089.bindPopup(popup_218c2e7f72f041099b9557de6057e18c);

            
        
        
            

            var marker_085c7e1a5691460680b551407ceacb42 = L.marker(
                [37.5637990488,126.9545535618],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_e257650b1e4d41039d3db6818bfef234 = L.popup({maxWidth: '300'});

            
                var html_5872431e041b4d96898095c9f307968c = $('         <div id="html_5872431e041b4d96898095c9f307968c"                 style="width: 100.0%; height: 100.0%;">                 Ahyeon-dong Wedding Dress Street // Score : 32 </div>                 ')[0];
                popup_e257650b1e4d41039d3db6818bfef234.setContent(html_5872431e041b4d96898095c9f307968c);
            

            marker_085c7e1a5691460680b551407ceacb42.bindPopup(popup_e257650b1e4d41039d3db6818bfef234);

            
        
        
            

            var marker_7a64fa3c78344edc8fc81870e1fad93f = L.marker(
                [37.563108312800004,126.9223460779],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_4eedddfc76c549308ceda5871a4e3fed = L.popup({maxWidth: '300'});

            
                var html_0bbdac6821834116bccde091e9635d19 = $('         <div id="html_0bbdac6821834116bccde091e9635d19"                 style="width: 100.0%; height: 100.0%;">                 Chinatown // Score : 22 </div>                 ')[0];
                popup_4eedddfc76c549308ceda5871a4e3fed.setContent(html_0bbdac6821834116bccde091e9635d19);
            

            marker_7a64fa3c78344edc8fc81870e1fad93f.bindPopup(popup_4eedddfc76c549308ceda5871a4e3fed);

            
        
        
            

            var marker_21ef61ac13574842a5a7c7abbc155ba9 = L.marker(
                [37.5546022525,126.95608923370001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_136ab7f2ade9446da35003e95681ed5b = L.popup({maxWidth: '300'});

            
                var html_326006a377474c5d89524ed30b3c5a0f = $('         <div id="html_326006a377474c5d89524ed30b3c5a0f"                 style="width: 100.0%; height: 100.0%;">                 Ahyeon Coin Alley // Score : 33 </div>                 ')[0];
                popup_136ab7f2ade9446da35003e95681ed5b.setContent(html_326006a377474c5d89524ed30b3c5a0f);
            

            marker_21ef61ac13574842a5a7c7abbc155ba9.bindPopup(popup_136ab7f2ade9446da35003e95681ed5b);

            
        
        
            

            var marker_94abf8191e5a471cbc37b32da4134f76 = L.marker(
                [37.5542409105,126.9379276799],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_c7ac40802b0c488580c1904764403a9c = L.popup({maxWidth: '300'});

            
                var html_cb00a26df61a4dfa9917c3c89091085f = $('         <div id="html_cb00a26df61a4dfa9917c3c89091085f"                 style="width: 100.0%; height: 100.0%;">                 Hongik Univ Street of Art // Score : 99 </div>                 ')[0];
                popup_c7ac40802b0c488580c1904764403a9c.setContent(html_cb00a26df61a4dfa9917c3c89091085f);
            

            marker_94abf8191e5a471cbc37b32da4134f76.bindPopup(popup_c7ac40802b0c488580c1904764403a9c);

            
        
        
            

            var marker_6623bb60fd6e446db324dc8707373cec = L.marker(
                [37.5714984223,126.8725938165],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_f2e1d6a97074439cb22c403c1ace0bd5 = L.popup({maxWidth: '300'});

            
                var html_4402eb51f5ec4e48b8810aa74dce6960 = $('         <div id="html_4402eb51f5ec4e48b8810aa74dce6960"                 style="width: 100.0%; height: 100.0%;">                 Metasequoia Road // Score : 43 </div>                 ')[0];
                popup_f2e1d6a97074439cb22c403c1ace0bd5.setContent(html_4402eb51f5ec4e48b8810aa74dce6960);
            

            marker_6623bb60fd6e446db324dc8707373cec.bindPopup(popup_f2e1d6a97074439cb22c403c1ace0bd5);

            
        
        
            

            var marker_717d1d2e6b7b4ee4a63619cb775c0625 = L.marker(
                [37.5006879112,126.97360464049999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_753882292a824e0fb5d550eaa1e2a85a = L.popup({maxWidth: '300'});

            
                var html_111975ac713642859c2b2e083502ada3 = $('         <div id="html_111975ac713642859c2b2e083502ada3"                 style="width: 100.0%; height: 100.0%;">                 Hyeonchungno // Score : 26 </div>                 ')[0];
                popup_753882292a824e0fb5d550eaa1e2a85a.setContent(html_111975ac713642859c2b2e083502ada3);
            

            marker_717d1d2e6b7b4ee4a63619cb775c0625.bindPopup(popup_753882292a824e0fb5d550eaa1e2a85a);

            
        
        
            

            var marker_1452f3238cb44aabb5336c5a9f2a4e2c = L.marker(
                [37.588831634099996,127.06259921979999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_012eb95a45734053b46c0ea34e8eb1b7 = L.popup({maxWidth: '300'});

            
                var html_82861b383f6f463190c22f02ca3f78fe = $('         <div id="html_82861b383f6f463190c22f02ca3f78fe"                 style="width: 100.0%; height: 100.0%;">                 Kyunghee Univ pajeon Alley // Score : 68 </div>                 ')[0];
                popup_012eb95a45734053b46c0ea34e8eb1b7.setContent(html_82861b383f6f463190c22f02ca3f78fe);
            

            marker_1452f3238cb44aabb5336c5a9f2a4e2c.bindPopup(popup_012eb95a45734053b46c0ea34e8eb1b7);

            
        
        
            

            var marker_18ed680a318e498ba8aac04d8ab69757 = L.marker(
                [37.588197610900004,127.0463896964],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_88fd4e17af72470cb7472ad7831f6f17 = L.popup({maxWidth: '300'});

            
                var html_f947586d5aea4d82839ff5d2ba45193e = $('         <div id="html_f947586d5aea4d82839ff5d2ba45193e"                 style="width: 100.0%; height: 100.0%;">                 Hongneung-gil // Score : 23 </div>                 ')[0];
                popup_88fd4e17af72470cb7472ad7831f6f17.setContent(html_f947586d5aea4d82839ff5d2ba45193e);
            

            marker_18ed680a318e498ba8aac04d8ab69757.bindPopup(popup_88fd4e17af72470cb7472ad7831f6f17);

            
        
        
            

            var marker_8599921bef834ac99a349bc1f938eadd = L.marker(
                [37.6305927195,127.087693357],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_88824a0f96be4854a8c8584216937d94 = L.popup({maxWidth: '300'});

            
                var html_744af5e351214b178922d45828215a0f = $('         <div id="html_744af5e351214b178922d45828215a0f"                 style="width: 100.0%; height: 100.0%;">                 Hwarangno fallen leaves street // Score : 42 </div>                 ')[0];
                popup_88824a0f96be4854a8c8584216937d94.setContent(html_744af5e351214b178922d45828215a0f);
            

            marker_8599921bef834ac99a349bc1f938eadd.bindPopup(popup_88824a0f96be4854a8c8584216937d94);

            
        
        
            

            var marker_3c0154cc890940278aa02a985de3f91b = L.marker(
                [37.475038315999996,126.88423477379999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_85c2d8e5ece04cf8bc6221f6660507f2 = L.popup({maxWidth: '300'});

            
                var html_a10d608e6c3f45dcbfb1ab76a9b8286c = $('         <div id="html_a10d608e6c3f45dcbfb1ab76a9b8286c"                 style="width: 100.0%; height: 100.0%;">                 Rodeo Street // Score : 32 </div>                 ')[0];
                popup_85c2d8e5ece04cf8bc6221f6660507f2.setContent(html_a10d608e6c3f45dcbfb1ab76a9b8286c);
            

            marker_3c0154cc890940278aa02a985de3f91b.bindPopup(popup_85c2d8e5ece04cf8bc6221f6660507f2);

            
        
        
            

            var marker_01c14fa5173d40f69ab0f08e4c786c8c = L.marker(
                [37.482833211,126.88730712569999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_91531c06a04e418aa81336221150d395 = L.popup({maxWidth: '300'});

            
                var html_5b6c6b71f08048fe9109d0d1b0af955e = $('         <div id="html_5b6c6b71f08048fe9109d0d1b0af955e"                 style="width: 100.0%; height: 100.0%;">                 Chinatown // Score : 12 </div>                 ')[0];
                popup_91531c06a04e418aa81336221150d395.setContent(html_5b6c6b71f08048fe9109d0d1b0af955e);
            

            marker_01c14fa5173d40f69ab0f08e4c786c8c.bindPopup(popup_91531c06a04e418aa81336221150d395);

            
        
        
            

            var marker_20d4eb3879054c31828731e83903d67f = L.marker(
                [37.5433219294,127.0727360464],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_912dcd35a0694fb5be6cc3506017e420 = L.popup({maxWidth: '300'});

            
                var html_1c6764f3d3ad485b86e5f7fc4cd08040 = $('         <div id="html_1c6764f3d3ad485b86e5f7fc4cd08040"                 style="width: 100.0%; height: 100.0%;">                 Geondae taste Street // Score : 84 </div>                 ')[0];
                popup_912dcd35a0694fb5be6cc3506017e420.setContent(html_1c6764f3d3ad485b86e5f7fc4cd08040);
            

            marker_20d4eb3879054c31828731e83903d67f.bindPopup(popup_912dcd35a0694fb5be6cc3506017e420);

            
        
        
            

            var marker_d0f34da30d644cf29bb230f032d6a5e7 = L.marker(
                [37.5319212362,127.0802146943],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_c62d1541d9814d56b19ebb1fa7711dab = L.popup({maxWidth: '300'});

            
                var html_698f44c1b21f4623a9cf225e31be326d = $('         <div id="html_698f44c1b21f4623a9cf225e31be326d"                 style="width: 100.0%; height: 100.0%;">                 Rodeo Street // Score : 65 </div>                 ')[0];
                popup_c62d1541d9814d56b19ebb1fa7711dab.setContent(html_698f44c1b21f4623a9cf225e31be326d);
            

            marker_d0f34da30d644cf29bb230f032d6a5e7.bindPopup(popup_c62d1541d9814d56b19ebb1fa7711dab);

            
        
        
            

            var marker_d1f9eb0223c74929b26991bce5a4c2c3 = L.marker(
                [37.5510497104,127.0824623102],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_5036bebe928f47c4a23c12892f47630c = L.popup({maxWidth: '300'});

            
                var html_cc17636c2c7942baa75e044315bb3360 = $('         <div id="html_cc17636c2c7942baa75e044315bb3360"                 style="width: 100.0%; height: 100.0%;">                 Neungdongno // Score : 24 </div>                 ')[0];
                popup_5036bebe928f47c4a23c12892f47630c.setContent(html_cc17636c2c7942baa75e044315bb3360);
            

            marker_d1f9eb0223c74929b26991bce5a4c2c3.bindPopup(popup_5036bebe928f47c4a23c12892f47630c);

            
        
        
            

            var marker_390e33aa3ef3481dab07cb4828f9c110 = L.marker(
                [37.4829408135,126.948985568],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_9bc70a8bf4974ebbaef5b70a307d0bbd = L.popup({maxWidth: '300'});

            
                var html_1a9b706350154f76b48a1a8deef7517f = $('         <div id="html_1a9b706350154f76b48a1a8deef7517f"                 style="width: 100.0%; height: 100.0%;">                 Bongcheon-dong food Alley // Score : 64 </div>                 ')[0];
                popup_9bc70a8bf4974ebbaef5b70a307d0bbd.setContent(html_1a9b706350154f76b48a1a8deef7517f);
            

            marker_390e33aa3ef3481dab07cb4828f9c110.bindPopup(popup_9bc70a8bf4974ebbaef5b70a307d0bbd);

            
        
        
            

            var marker_084779e270bb46a69ec820383f58e250 = L.marker(
                [37.4632016047,126.9345984302],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_4ec517a4148f4e4dae0bbd05a88f84a2 = L.popup({maxWidth: '300'});

            
                var html_8b730fc750804a1fb7f4638d6e1cc563 = $('         <div id="html_8b730fc750804a1fb7f4638d6e1cc563"                 style="width: 100.0%; height: 100.0%;">                 Pedestrian-Friendly Culture Street // Score : 72 </div>                 ')[0];
                popup_4ec517a4148f4e4dae0bbd05a88f84a2.setContent(html_8b730fc750804a1fb7f4638d6e1cc563);
            

            marker_084779e270bb46a69ec820383f58e250.bindPopup(popup_4ec517a4148f4e4dae0bbd05a88f84a2);

            
        
        
            

            var marker_54affc8471c0448282187112c9a97424 = L.marker(
                [37.4829408135,126.948985568],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_6c6919123e4d473abf040e100855d0ee = L.popup({maxWidth: '300'});

            
                var html_5863da0916e84cc6b9386f038d33f5c4 = $('         <div id="html_5863da0916e84cc6b9386f038d33f5c4"                 style="width: 100.0%; height: 100.0%;">                 Gwanak-gu design street // Score : 23 </div>                 ')[0];
                popup_6c6919123e4d473abf040e100855d0ee.setContent(html_5863da0916e84cc6b9386f038d33f5c4);
            

            marker_54affc8471c0448282187112c9a97424.bindPopup(popup_6c6919123e4d473abf040e100855d0ee);

            
        
        
            

            var marker_d172ce4dd02542718408488edeb2ad6f = L.marker(
                [37.5773373025,126.8133225984],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_4a7b9ab9cd6c45b7b6122eb67ddb8695 = L.popup({maxWidth: '300'});

            
                var html_defdf3f58f6e4591becd66eee41970c0 = $('         <div id="html_defdf3f58f6e4591becd66eee41970c0"                 style="width: 100.0%; height: 100.0%;">                 Hangang River cycle lane(Gangseo Area) // Score : 53 </div>                 ')[0];
                popup_4a7b9ab9cd6c45b7b6122eb67ddb8695.setContent(html_defdf3f58f6e4591becd66eee41970c0);
            

            marker_d172ce4dd02542718408488edeb2ad6f.bindPopup(popup_4a7b9ab9cd6c45b7b6122eb67ddb8695);

            
        
        
            

            var marker_bd17f4f680764788a0ab1c7d46823370 = L.marker(
                [37.6370942943,127.0045998616],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_6f4ae932001b47609bf7c069e83ee8b4 = L.popup({maxWidth: '300'});

            
                var html_68edc54fdfbf456280d73ed4ead35ac7 = $('         <div id="html_68edc54fdfbf456280d73ed4ead35ac7"                 style="width: 100.0%; height: 100.0%;">                 Sullye-gil course // Score : 36 </div>                 ')[0];
                popup_6f4ae932001b47609bf7c069e83ee8b4.setContent(html_68edc54fdfbf456280d73ed4ead35ac7);
            

            marker_bd17f4f680764788a0ab1c7d46823370.bindPopup(popup_6f4ae932001b47609bf7c069e83ee8b4);

            
        
        
            

            var marker_6d8a593e133f422d8106342e10103f4c = L.marker(
                [37.543179073800005,127.1266790476],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_ab20dd4100e649a4a55f05bd5020a1a9 = L.popup({maxWidth: '300'});

            
                var html_4cb5cb8f3bac4f3fa049b7b1cf189c2e = $('         <div id="html_4cb5cb8f3bac4f3fa049b7b1cf189c2e"                 style="width: 100.0%; height: 100.0%;">                 Cheonho-dong // Score : 65 </div>                 ')[0];
                popup_ab20dd4100e649a4a55f05bd5020a1a9.setContent(html_4cb5cb8f3bac4f3fa049b7b1cf189c2e);
            

            marker_6d8a593e133f422d8106342e10103f4c.bindPopup(popup_ab20dd4100e649a4a55f05bd5020a1a9);

            
        
        
            

            var marker_826d5da70b134981b8fd78e8e62543ac = L.marker(
                [37.5579256806,127.1308327064],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_9d2e6e20a93547c9a9ffe98d97fd5869 = L.popup({maxWidth: '300'});

            
                var html_ba95a0f8f7fb4418983d370abd5eeecb = $('         <div id="html_ba95a0f8f7fb4418983d370abd5eeecb"                 style="width: 100.0%; height: 100.0%;">                 Hangang River cycle lane(Gwangnaru Area) // Score : 32 </div>                 ')[0];
                popup_9d2e6e20a93547c9a9ffe98d97fd5869.setContent(html_ba95a0f8f7fb4418983d370abd5eeecb);
            

            marker_826d5da70b134981b8fd78e8e62543ac.bindPopup(popup_9d2e6e20a93547c9a9ffe98d97fd5869);

            
        
        
            

            var marker_79c6d83e68574cc894501d80a31ac91d = L.marker(
                [37.5304833863,127.12889765700001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_afb8cb928a584004aa697bc5bd07806c = L.popup({maxWidth: '300'});

            
                var html_11db917a346549c98a2de263e633560a = $('         <div id="html_11db917a346549c98a2de263e633560a"                 style="width: 100.0%; height: 100.0%;">                 Cheonho design street // Score : 56 </div>                 ')[0];
                popup_afb8cb928a584004aa697bc5bd07806c.setContent(html_11db917a346549c98a2de263e633560a);
            

            marker_79c6d83e68574cc894501d80a31ac91d.bindPopup(popup_afb8cb928a584004aa697bc5bd07806c);

            
        
        
            

            var marker_c92e513ac6924d1bbfae1a4f6461188a = L.marker(
                [37.5486842731,127.14969214790001],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_720016da7d8341cca4dce7d4239f6ad3 = L.popup({maxWidth: '300'});

            
                var html_3eed8967bfb841a69c2b18aa40d880a7 = $('         <div id="html_3eed8967bfb841a69c2b18aa40d880a7"                 style="width: 100.0%; height: 100.0%;">                 Dangni Korean Blood Sausag Soup // Score : 34 </div>                 ')[0];
                popup_720016da7d8341cca4dce7d4239f6ad3.setContent(html_3eed8967bfb841a69c2b18aa40d880a7);
            

            marker_c92e513ac6924d1bbfae1a4f6461188a.bindPopup(popup_720016da7d8341cca4dce7d4239f6ad3);

            
        
        
            

            var marker_6f4926475b2a440ca64e5151f76c7d3f = L.marker(
                [37.538560371799996,127.1470468799],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_292875d990a4495b995322ff3d7b0e36 = L.popup({maxWidth: '300'});

            
                var html_deb9240b1a0f446c926775293512c025 = $('         <div id="html_deb9240b1a0f446c926775293512c025"                 style="width: 100.0%; height: 100.0%;">                 Byeongcheon folk sundae // Score : 66 </div>                 ')[0];
                popup_292875d990a4495b995322ff3d7b0e36.setContent(html_deb9240b1a0f446c926775293512c025);
            

            marker_6f4926475b2a440ca64e5151f76c7d3f.bindPopup(popup_292875d990a4495b995322ff3d7b0e36);

            
        
        
            

            var marker_21e1ef5eabea4df1b7aa7e150853a154 = L.marker(
                [37.5254064028,127.0523782445],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_497c3cdb55b24fd3856cbd7c83b01f73 = L.popup({maxWidth: '300'});

            
                var html_4ac758c631374b5984cc72abba44cea0 = $('         <div id="html_4ac758c631374b5984cc72abba44cea0"                 style="width: 100.0%; height: 100.0%;">                 Chengdam-dong luxury street // Score : 76 </div>                 ')[0];
                popup_497c3cdb55b24fd3856cbd7c83b01f73.setContent(html_4ac758c631374b5984cc72abba44cea0);
            

            marker_21e1ef5eabea4df1b7aa7e150853a154.bindPopup(popup_497c3cdb55b24fd3856cbd7c83b01f73);

            
        
        
            

            var marker_a6a1496b17b345b5a2775ed1e34d7a1f = L.marker(
                [37.4998663454,127.0388891889],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_c633d595e15e4b079b325c05ec271ed4 = L.popup({maxWidth: '300'});

            
                var html_44da77d377b14d5190f8f2796e644904 = $('         <div id="html_44da77d377b14d5190f8f2796e644904"                 style="width: 100.0%; height: 100.0%;">                 Teheran-ro // Score : 43 </div>                 ')[0];
                popup_c633d595e15e4b079b325c05ec271ed4.setContent(html_44da77d377b14d5190f8f2796e644904);
            

            marker_a6a1496b17b345b5a2775ed1e34d7a1f.bindPopup(popup_c633d595e15e4b079b325c05ec271ed4);

            
        
        
            

            var marker_eaf77f67e5cd48e48d87f66967f7a010 = L.marker(
                [37.5238250318,127.02923164799999],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_87fef2b806d24719a0a306fae794169f = L.popup({maxWidth: '300'});

            
                var html_c1c6216d8c404ddbbc846d6f281276b4 = $('         <div id="html_c1c6216d8c404ddbbc846d6f281276b4"                 style="width: 100.0%; height: 100.0%;">                 Garosu-gild Road // Score : 98 </div>                 ')[0];
                popup_87fef2b806d24719a0a306fae794169f.setContent(html_c1c6216d8c404ddbbc846d6f281276b4);
            

            marker_eaf77f67e5cd48e48d87f66967f7a010.bindPopup(popup_87fef2b806d24719a0a306fae794169f);

            
        
        
            

            var marker_954c9e8eb598448e9a2004f862a883ea = L.marker(
                [37.5136359848,127.0311957909],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_e6d12adeb56540af9d9631727a727b9f);
            
        
            
            var popup_420a7d58d8194433ad72275ec1f20b28 = L.popup({maxWidth: '300'});

            
                var html_03674d97d16045438288d492d6e06815 = $('         <div id="html_03674d97d16045438288d492d6e06815"                 style="width: 100.0%; height: 100.0%;">                 Nonhyeondong cart bar Alley // Score : 88 </div>                 ')[0];
                popup_420a7d58d8194433ad72275ec1f20b28.setContent(html_03674d97d16045438288d492d6e06815);
            

            marker_954c9e8eb598448e9a2004f862a883ea.bindPopup(popup_420a7d58d8194433ad72275ec1f20b28);

            
        
        
        
        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x10903f898>"
      ]
     },
     "execution_count": 323,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m = folium.Map(location=[np.mean(df_spot.lat), np.mean(df_spot.lng)], zoom_start=11, tiles='Stamen Toner')\n",
    "for index, row in df_spot.iterrows():\n",
    "    popup_txt = \"%s // Score : %s \" % (row.street_en, row.score)\n",
    "    folium.Marker([row.lat, row.lng], popup=popup_txt).add_to(m)\n",
    "m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Applying Genetic Algorithm"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting Things Up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 324,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import random\n",
    "import numpy as np\n",
    "from deap import algorithms, base, creator, tools"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 325,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/deap/creator.py:141: RuntimeWarning: A class named 'FitnessMulti' has already been created and it will be overwritten. Consider deleting previous creation of that class or rename it.\n",
      "  RuntimeWarning)\n",
      "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/site-packages/deap/creator.py:141: RuntimeWarning: A class named 'Individual' has already been created and it will be overwritten. Consider deleting previous creation of that class or rename it.\n",
      "  RuntimeWarning)\n"
     ]
    }
   ],
   "source": [
    "creator.create(\"FitnessMulti\", base.Fitness, weights=(-1.0,1.0))\n",
    "creator.create(\"Individual\", list, fitness=creator.FitnessMulti)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Toolbox"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 326,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "toolbox = base.Toolbox()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 327,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Attribute generator \n",
    "toolbox.register(\"index\", np.random.choice, len(df_spot), 5, replace=False) # choose 5 spots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 328,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Structure initializers\n",
    "toolbox.register(\"individual\", tools.initIterate, creator.Individual, toolbox.index)\n",
    "toolbox.register(\"population\", tools.initRepeat, list, toolbox.individual)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 329,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[8, 15, 66, 52, 32]"
      ]
     },
     "execution_count": 329,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# sample individual -> just index of the data\n",
    "ind = toolbox.individual()\n",
    "ind"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 330,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>street_ko</th>\n",
       "      <th>street_en</th>\n",
       "      <th>address</th>\n",
       "      <th>dong_ko</th>\n",
       "      <th>dong_en</th>\n",
       "      <th>lng</th>\n",
       "      <th>lat</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>청계천헌책방거리</td>\n",
       "      <td>Cheonggye Stream secondhand bookshop street</td>\n",
       "      <td>서울시 중구 광희동 일대</td>\n",
       "      <td>광희동</td>\n",
       "      <td>Gwanghui-dong</td>\n",
       "      <td>127.008111</td>\n",
       "      <td>37.569502</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>삼청동길</td>\n",
       "      <td>Samcheongdong-gil Road</td>\n",
       "      <td>서울시 종로구 삼청동 일대</td>\n",
       "      <td>삼청동</td>\n",
       "      <td>Samcheong-dong</td>\n",
       "      <td>126.980391</td>\n",
       "      <td>37.582810</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>66</th>\n",
       "      <td>천호동로데오거리</td>\n",
       "      <td>Cheonho-dong</td>\n",
       "      <td>서울시 강동구 천호3동 일대</td>\n",
       "      <td>천호3동</td>\n",
       "      <td>Cheonho2-dong</td>\n",
       "      <td>127.126679</td>\n",
       "      <td>37.543179</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>현충로</td>\n",
       "      <td>Hyeonchungno</td>\n",
       "      <td>서울시 동작구 사당2동 일대</td>\n",
       "      <td>사당2동</td>\n",
       "      <td>Sadang2-dong</td>\n",
       "      <td>126.973605</td>\n",
       "      <td>37.500688</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>목동로데오거리</td>\n",
       "      <td>Mok-dong Rodeo Street</td>\n",
       "      <td>서울시 양천구 신정4동 일대</td>\n",
       "      <td>신정4동</td>\n",
       "      <td>Sinjeong6-dong</td>\n",
       "      <td>126.862987</td>\n",
       "      <td>37.516577</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   street_ko                                    street_en          address  \\\n",
       "8   청계천헌책방거리  Cheonggye Stream secondhand bookshop street    서울시 중구 광희동 일대   \n",
       "15      삼청동길                       Samcheongdong-gil Road   서울시 종로구 삼청동 일대   \n",
       "66  천호동로데오거리                                 Cheonho-dong  서울시 강동구 천호3동 일대   \n",
       "52       현충로                                 Hyeonchungno  서울시 동작구 사당2동 일대   \n",
       "32   목동로데오거리                        Mok-dong Rodeo Street  서울시 양천구 신정4동 일대   \n",
       "\n",
       "   dong_ko         dong_en         lng        lat  score  \n",
       "8      광희동   Gwanghui-dong  127.008111  37.569502     54  \n",
       "15     삼청동  Samcheong-dong  126.980391  37.582810     65  \n",
       "66    천호3동   Cheonho2-dong  127.126679  37.543179     65  \n",
       "52    사당2동    Sadang2-dong  126.973605  37.500688     26  \n",
       "32    신정4동  Sinjeong6-dong  126.862987  37.516577     42  "
      ]
     },
     "execution_count": 330,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_spot.ix[ind]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Evaluation Function\n",
    "- objective function 1. __total distance -> minimun__\n",
    "- objective function 2. __total score -> maximum__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 331,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def create_tour(individual):\n",
    "    return [(df_spot.ix[i].lat, df_spot.ix[i].lng) for i in individual]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 332,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[(37.569501799999998, 127.00811059999999),\n",
       " (37.5828099517, 126.9803912024),\n",
       " (37.543179073800005, 127.12667904760001),\n",
       " (37.500687911199996, 126.97360464049999),\n",
       " (37.516577196999997, 126.86298654209999)]"
      ]
     },
     "execution_count": 332,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# convert index to geo data for get distance.\n",
    "tour = create_tour(ind)\n",
    "tour"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 333,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "## Function for get a total distance of tour case\n",
    "def total_distance(tour):\n",
    "    tour_sum = sum(distance(tour[i], tour[i+1]) for i in range(len(tour)-1))\n",
    "    return tour_sum\n",
    "\n",
    "def distance(spot1, spot2):\n",
    "    # convert decimal degrees to radians \n",
    "    lng1, lat1, lng2, lat2 = map(radians, [spot1[0], spot1[1], spot2[0], spot2[1]])\n",
    "    \n",
    "    RADIUS = 6371 # FAA approved globe radius in km\n",
    "    \n",
    "    dlng = lng2-lng1\n",
    "    dlat = lat2-lat1\n",
    "    a = sin(dlat/2)**2 + cos(lat1) * cos(lat2) * sin(dlng/2)**2\n",
    "    c = 2 * asin(sqrt(a)) \n",
    "    dist = RADIUS * c\n",
    "    return dist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 334,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "49.2934546604279"
      ]
     },
     "execution_count": 334,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total distance of sample individual\n",
    "total_distance(tour)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def plot_tour(ind):\n",
    "    tour = create_tour(ind)\n",
    "    m = folium.Map(location=[np.mean(df_spot.lat), np.mean(df_spot.lng)], zoom_start=13)\n",
    "    path=folium.PolyLine(locations=tour,weight=5)\n",
    "    m.add_children(path)\n",
    "    for i,loc in enumerate(ind):\n",
    "        popup_txt = \"%s // Score : %s \" % (df_spot.ix[loc].street_en, df_spot.ix[loc].score)\n",
    "        folium.Marker(tour[i], popup=popup_txt).add_to(m)\n",
    "    return m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 336,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
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        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1092ef668>"
      ]
     },
     "execution_count": 336,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# vizualize the tour\n",
    "plot_tour(ind)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 337,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def total_score(individual):\n",
    "    return sum([df_spot.ix[i]['score'] for i in individual]) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 338,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "252"
      ]
     },
     "execution_count": 338,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total scores of the sample individual\n",
    "total_score(ind)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 339,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def eval_func(individual):\n",
    "    \n",
    "    # 1 total distance -> minimun\n",
    "    t_dist = total_distance(create_tour(individual))\n",
    "    \n",
    "    # 2 total score -> maximum\n",
    "    t_score = total_score(individual)\n",
    "    \n",
    "    # 3 penalty\n",
    "    penalty = len(individual) - len(set(individual))\n",
    "    t_dist += penalty*1000000\n",
    "    t_score -= penalty*1000000\n",
    "    \n",
    "    return t_dist, t_score"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 340,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(49.2934546604279, 252)"
      ]
     },
     "execution_count": 340,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# total scores of the sample individual\n",
    "eval_func(ind) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The Genetic Operators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 341,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "toolbox.register(\"evaluate\", eval_func)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 342,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "toolbox.register(\"select\", tools.selNSGA2)\n",
    "toolbox.register(\"mate\", tools.cxTwoPoint)\n",
    "# tools.mutShuffleIndexes : Shuffle the attributes of the input individual and return the mutant.\n",
    "toolbox.register(\"mutate\", tools.mutShuffleIndexes, indpb=0.8) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Evolving the Population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 343,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "POP_SIZE = 100\n",
    "MAX_GEN = 100\n",
    "MUT_PROB = 0.2\n",
    "CX_PROB = 0.8"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating the Population"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 344,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[26, 3, 66, 13, 19],\n",
       " [62, 61, 11, 26, 24],\n",
       " [7, 42, 43, 22, 19],\n",
       " [35, 36, 52, 73, 31],\n",
       " [0, 56, 6, 71, 15],\n",
       " [62, 34, 53, 23, 49],\n",
       " [57, 29, 48, 43, 1],\n",
       " [14, 64, 55, 72, 67],\n",
       " [64, 10, 43, 59, 60],\n",
       " [32, 68, 20, 49, 30],\n",
       " [55, 32, 70, 24, 69],\n",
       " [19, 32, 58, 49, 41],\n",
       " [50, 54, 24, 66, 44],\n",
       " [23, 48, 25, 43, 34],\n",
       " [45, 21, 44, 65, 20],\n",
       " [21, 0, 56, 43, 72],\n",
       " [45, 62, 70, 69, 50],\n",
       " [29, 56, 54, 60, 33],\n",
       " [35, 7, 29, 39, 15],\n",
       " [51, 60, 56, 4, 31],\n",
       " [7, 73, 21, 48, 66],\n",
       " [34, 42, 3, 65, 60],\n",
       " [60, 19, 8, 69, 14],\n",
       " [67, 13, 18, 26, 53],\n",
       " [20, 21, 7, 73, 48],\n",
       " [19, 10, 62, 60, 53],\n",
       " [21, 14, 30, 3, 6],\n",
       " [7, 36, 13, 6, 16],\n",
       " [67, 29, 61, 22, 47],\n",
       " [9, 72, 19, 65, 51],\n",
       " [48, 18, 63, 23, 68],\n",
       " [42, 15, 11, 10, 58],\n",
       " [13, 3, 44, 19, 15],\n",
       " [3, 25, 36, 44, 73],\n",
       " [66, 55, 7, 12, 57],\n",
       " [65, 19, 23, 63, 9],\n",
       " [27, 67, 28, 34, 40],\n",
       " [42, 44, 12, 1, 35],\n",
       " [18, 53, 36, 15, 43],\n",
       " [16, 72, 31, 57, 74],\n",
       " [24, 23, 11, 14, 53],\n",
       " [51, 5, 63, 37, 23],\n",
       " [45, 69, 25, 61, 29],\n",
       " [57, 41, 26, 10, 34],\n",
       " [13, 73, 20, 39, 48],\n",
       " [42, 2, 53, 62, 18],\n",
       " [46, 49, 10, 56, 65],\n",
       " [7, 6, 64, 16, 59],\n",
       " [8, 59, 29, 55, 27],\n",
       " [8, 53, 16, 20, 31],\n",
       " [52, 12, 17, 55, 69],\n",
       " [47, 29, 68, 23, 72],\n",
       " [34, 72, 28, 73, 32],\n",
       " [24, 40, 49, 21, 13],\n",
       " [49, 36, 42, 73, 61],\n",
       " [18, 40, 13, 22, 51],\n",
       " [47, 21, 57, 35, 5],\n",
       " [31, 51, 53, 1, 32],\n",
       " [29, 59, 65, 6, 24],\n",
       " [35, 51, 69, 25, 0],\n",
       " [69, 27, 7, 9, 63],\n",
       " [15, 44, 41, 73, 2],\n",
       " [26, 14, 35, 66, 42],\n",
       " [37, 1, 27, 23, 28],\n",
       " [35, 44, 9, 33, 71],\n",
       " [39, 61, 55, 71, 47],\n",
       " [2, 57, 71, 35, 39],\n",
       " [66, 40, 49, 9, 17],\n",
       " [6, 26, 70, 35, 62],\n",
       " [69, 6, 30, 34, 71],\n",
       " [19, 0, 30, 60, 38],\n",
       " [11, 45, 59, 67, 21],\n",
       " [46, 4, 9, 20, 65],\n",
       " [3, 22, 6, 34, 61],\n",
       " [3, 59, 17, 18, 57],\n",
       " [59, 10, 3, 1, 50],\n",
       " [37, 4, 55, 61, 32],\n",
       " [3, 10, 11, 45, 34],\n",
       " [71, 64, 9, 1, 12],\n",
       " [72, 52, 5, 13, 27],\n",
       " [35, 64, 30, 31, 66],\n",
       " [61, 44, 59, 0, 22],\n",
       " [48, 34, 1, 54, 72],\n",
       " [10, 32, 23, 35, 14],\n",
       " [36, 5, 67, 27, 70],\n",
       " [20, 8, 54, 59, 22],\n",
       " [53, 49, 68, 1, 56],\n",
       " [72, 23, 50, 40, 31],\n",
       " [18, 9, 26, 71, 31],\n",
       " [34, 22, 66, 12, 70],\n",
       " [27, 9, 45, 6, 2],\n",
       " [2, 32, 52, 51, 5],\n",
       " [38, 24, 64, 37, 16],\n",
       " [48, 12, 50, 21, 11],\n",
       " [22, 61, 7, 47, 51],\n",
       " [13, 37, 73, 68, 3],\n",
       " [30, 38, 23, 70, 15],\n",
       " [73, 10, 65, 6, 9],\n",
       " [14, 15, 25, 47, 62],\n",
       " [5, 22, 36, 12, 2]]"
      ]
     },
     "execution_count": 344,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pop = toolbox.population(n=POP_SIZE)\n",
    "pop"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Appeal of Evolution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 345,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "stats = tools.Statistics(lambda ind: ind.fitness.values)\n",
    "stats.register(\"avg\", np.mean, axis=0) \n",
    "stats.register(\"min\", np.min, axis=0)\n",
    "stats.register(\"max\", np.max, axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 346,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "gen\tnevals\tavg                          \tmin                        \tmax                          \n",
      "0  \t100   \t[  42.55192901  227.94      ]\t[ 15.91890855  85.        ]\t[  96.76746385  381.        ]\n",
      "1  \t100   \t[  33.97492201  261.27      ]\t[  14.92054295  132.        ]\t[  77.69217341  428.        ]\n",
      "2  \t100   \t[  29.3652626  279.82     ]  \t[  14.06698301  107.        ]\t[  56.42864121  428.        ]\n",
      "3  \t100   \t[  26.74125528  307.5       ]\t[   9.59704691  107.        ]\t[  51.90570875  428.        ]\n",
      "4  \t100   \t[  22.7316907  318.47     ]  \t[   7.75123178  107.        ]\t[  51.90570875  440.        ]\n",
      "5  \t100   \t[  21.74857847  341.51      ]\t[   7.75123178  189.        ]\t[  51.90570875  440.        ]\n",
      "6  \t100   \t[  18.02675015  343.05      ]\t[   7.75123178  186.        ]\t[  62.05534445  471.        ]\n",
      "7  \t100   \t[  16.62718018  362.62      ]\t[   4.63437973  186.        ]\t[  50.81490246  471.        ]\n",
      "8  \t100   \t[  14.88082524  388.13      ]\t[   4.63437973  219.        ]\t[  41.39343036  482.        ]\n",
      "9  \t100   \t[  12.43272334  391.04      ]\t[   3.67057643  219.        ]\t[  36.2538479  490.       ]  \n",
      "10 \t100   \t[  10.98509824  397.47      ]\t[   3.67057643  219.        ]\t[  36.2538479  490.       ]  \n",
      "11 \t100   \t[  10.12364917  405.25      ]\t[   3.67057643  219.        ]\t[  18.73818402  490.        ]\n",
      "12 \t100   \t[   9.07563109  411.6       ]\t[   3.67057643  219.        ]\t[  15.61968811  490.        ]\n",
      "13 \t100   \t[   8.51744287  414.69      ]\t[   3.67057643  219.        ]\t[  15.48302496  491.        ]\n",
      "14 \t100   \t[   7.41292876  408.12      ]\t[   3.65516405  231.        ]\t[  13.16722879  491.        ]\n",
      "15 \t100   \t[   6.86805694  408.46      ]\t[   3.60109906  251.        ]\t[  12.02117438  491.        ]\n",
      "16 \t100   \t[   6.63677509  413.22      ]\t[   3.60109906  251.        ]\t[  11.14020898  491.        ]\n",
      "17 \t100   \t[   6.31950326  419.93      ]\t[   3.06529045  311.        ]\t[  13.70107664  492.        ]\n",
      "18 \t100   \t[   6.01683146  420.28      ]\t[   3.06529045  315.        ]\t[  13.70107664  492.        ]\n",
      "19 \t100   \t[   5.62602234  419.8       ]\t[   3.06529045  315.        ]\t[  13.70107664  492.        ]\n",
      "20 \t100   \t[   5.41830331  419.79      ]\t[   3.06529045  315.        ]\t[  13.70107664  492.        ]\n",
      "21 \t100   \t[   5.40367272  427.28      ]\t[   3.06529045  315.        ]\t[  13.70107664  492.        ]\n",
      "22 \t100   \t[   5.21712883  428.9       ]\t[   2.83962043  328.        ]\t[  13.70107664  492.        ]\n",
      "23 \t100   \t[   5.21217052  434.15      ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "24 \t100   \t[   4.96900636  430.76      ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "25 \t100   \t[   4.89506167  432.        ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "26 \t100   \t[   4.73670058  430.05      ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "27 \t100   \t[   4.75005159  431.17      ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "28 \t100   \t[   4.68397083  431.37      ]\t[   2.83962043  327.        ]\t[  13.70107664  492.        ]\n",
      "29 \t100   \t[   4.66757145  429.89      ]\t[   2.83962043  327.        ]\t[  13.71708502  492.        ]\n",
      "30 \t100   \t[   4.72873224  434.38      ]\t[   2.83962043  345.        ]\t[  13.71708502  492.        ]\n",
      "31 \t100   \t[   4.56979613  438.37      ]\t[   2.83962043  345.        ]\t[  13.24723015  492.        ]\n",
      "32 \t100   \t[   4.63622566  440.33      ]\t[   2.83962043  345.        ]\t[  12.67769687  492.        ]\n",
      "33 \t100   \t[   4.55734861  441.54      ]\t[   2.83962043  345.        ]\t[  12.63169498  492.        ]\n",
      "34 \t100   \t[   4.54404689  439.69      ]\t[   2.83962043  345.        ]\t[  12.61642059  492.        ]\n",
      "35 \t100   \t[   4.58683955  438.52      ]\t[   2.83962043  345.        ]\t[  11.67449694  492.        ]\n",
      "36 \t100   \t[   4.9292474  454.12     ]  \t[   2.83392694  345.        ]\t[  12.61642059  492.        ]\n",
      "37 \t100   \t[   5.12141868  464.86      ]\t[   2.83392694  345.        ]\t[  11.67449694  492.        ]\n",
      "38 \t100   \t[   5.26945297  469.37      ]\t[   2.83392694  362.        ]\t[  11.16112947  492.        ]\n",
      "39 \t100   \t[   5.37993345  471.61      ]\t[   2.83392694  362.        ]\t[  11.16112947  492.        ]\n",
      "40 \t100   \t[   5.04481718  471.68      ]\t[   2.83392694  362.        ]\t[  11.15636057  492.        ]\n",
      "41 \t100   \t[   4.97100485  470.03      ]\t[   2.83392694  362.        ]\t[  11.15636057  492.        ]\n",
      "42 \t100   \t[   4.83642094  466.51      ]\t[   2.83392694  362.        ]\t[  11.15636057  492.        ]\n",
      "43 \t100   \t[   4.74429285  464.42      ]\t[   2.83392694  362.        ]\t[  11.15393522  492.        ]\n",
      "44 \t100   \t[   4.6512329  463.39     ]  \t[   2.83392694  362.        ]\t[  10.74995493  492.        ]\n",
      "45 \t100   \t[   4.28675419  453.5       ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "46 \t100   \t[   3.87191475  441.17      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "47 \t100   \t[   3.91451508  442.01      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "48 \t100   \t[   3.91243383  442.52      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "49 \t100   \t[   3.99861164  442.48      ]\t[   2.83392694  409.        ]\t[  14.08942584  492.        ]\n",
      "50 \t100   \t[   4.04727301  443.21      ]\t[   2.83392694  409.        ]\t[  12.98742789  492.        ]\n",
      "51 \t100   \t[   4.06174423  443.97      ]\t[   2.83392694  409.        ]\t[  12.98742789  492.        ]\n",
      "52 \t100   \t[   4.00757256  442.8       ]\t[   2.83392694  409.        ]\t[  11.67449694  492.        ]\n",
      "53 \t100   \t[   4.01773523  443.13      ]\t[   2.83392694  409.        ]\t[  11.67449694  492.        ]\n",
      "54 \t100   \t[   3.92469257  440.37      ]\t[   2.83392694  409.        ]\t[  10.7891372  492.       ]  \n",
      "55 \t100   \t[   3.6250035  432.15     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "56 \t100   \t[   3.2624161  419.79     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "57 \t100   \t[   3.28066783  420.71      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "58 \t100   \t[   3.33608994  423.81      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "59 \t100   \t[   3.39284592  427.59      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "60 \t100   \t[   3.47537357  431.85      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "61 \t100   \t[   3.50502402  434.47      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "62 \t100   \t[   3.67671052  444.59      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "63 \t100   \t[   3.61289345  450.16      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "64 \t100   \t[   3.9278038  470.41     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "65 \t100   \t[   4.03865959  470.2       ]\t[   2.83392694  409.        ]\t[  10.78428592  492.        ]\n",
      "66 \t100   \t[   4.1163083  468.79     ]  \t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "67 \t100   \t[   4.10176286  467.57      ]\t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "68 \t100   \t[   4.12854684  467.85      ]\t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "69 \t100   \t[   4.18616595  467.61      ]\t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "70 \t100   \t[   4.35440327  467.97      ]\t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "71 \t100   \t[   4.32087242  466.46      ]\t[   2.83392694  409.        ]\t[   9.84342963  492.        ]\n",
      "72 \t100   \t[   4.32494813  465.51      ]\t[   2.83392694  409.        ]\t[   8.92332322  492.        ]\n",
      "73 \t100   \t[   4.5062339  465.46     ]  \t[   2.83392694  409.        ]\t[   8.92332322  492.        ]\n",
      "74 \t100   \t[   4.55749094  462.38      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "75 \t100   \t[   4.38188007  457.27      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "76 \t100   \t[   4.03065833  447.05      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "77 \t100   \t[   4.3519464  457.08     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "78 \t100   \t[   3.7900596  439.43     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "79 \t100   \t[   3.44231864  428.96      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "80 \t100   \t[   3.47344905  430.31      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "81 \t100   \t[   3.62364636  435.73      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "82 \t100   \t[   3.8733932  442.72     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "83 \t100   \t[   4.04722875  451.29      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "84 \t100   \t[   4.25279808  462.22      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "85 \t100   \t[   4.19570693  472.39      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "86 \t100   \t[   3.91483677  470.32      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "87 \t100   \t[   3.93926026  470.5       ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "88 \t100   \t[   3.95147201  470.59      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "89 \t100   \t[   3.9758955  470.77     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "90 \t100   \t[   3.99529228  469.9       ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "91 \t100   \t[   4.06137772  471.4       ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "92 \t100   \t[   4.13129706  471.24      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "93 \t100   \t[   4.2883742  472.06     ]  \t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "94 \t100   \t[   4.51201953  472.02      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "95 \t100   \t[   4.96504696  478.06      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "96 \t100   \t[   4.96504696  478.06      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "97 \t100   \t[   4.96504696  478.06      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "98 \t100   \t[   4.96504696  478.06      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "99 \t100   \t[   4.96504696  478.06      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "100\t100   \t[   4.92338501  476.74      ]\t[   2.83392694  409.        ]\t[   8.78977718  492.        ]\n",
      "CPU times: user 23.5 s, sys: 123 ms, total: 23.6 s\n",
      "Wall time: 24.2 s\n"
     ]
    }
   ],
   "source": [
    "%%time \n",
    "result, log = algorithms.eaMuPlusLambda(pop, \n",
    "                                     toolbox, \n",
    "                                     mu=POP_SIZE, # The number of individuals to select for the next generation.\n",
    "                                     lambda_= POP_SIZE, # The number of children to produce at each generation.\n",
    "                                     cxpb= CX_PROB,\n",
    "                                     mutpb= MUT_PROB, \n",
    "                                     stats= stats, \n",
    "                                     ngen= MAX_GEN,\n",
    "                                     verbose= True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
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    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Make a decision"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 347,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
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    {
     "data": {
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       "[[[26, 25, 0, 6, 7],\n",
       "  [26, 25, 0, 6, 7],\n",
       "  [13, 2, 3, 25, 26],\n",
       "  [13, 2, 3, 25, 26],\n",
       "  [13, 2, 3, 25, 26],\n",
       "  [13, 2, 3, 25, 26],\n",
       "  [13, 2, 3, 25, 26],\n",
       "  [16, 7, 0, 25, 26],\n",
       "  [16, 7, 0, 25, 26],\n",
       "  [13, 7, 0, 25, 26],\n",
       "  [13, 7, 0, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [13, 14, 3, 25, 26],\n",
       "  [26, 25, 7, 13, 14],\n",
       "  [26, 25, 7, 13, 14],\n",
       "  [73, 25, 26, 13, 14],\n",
       "  [73, 25, 26, 13, 14]]]"
      ]
     },
     "execution_count": 347,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fronts = tools.emo.sortLogNondominated(result, len(result))\n",
    "fronts"
   ]
  },
  {
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   "execution_count": null,
   "metadata": {
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   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 348,
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   },
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       "        <span id=\"aa1914f2-60af-49e3-8841-430728d0bd42\">Loading BokehJS ...</span>\n",
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       "  if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n",
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       "\n",
       "  function run_callbacks() {\n",
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       "\n",
       "  function load_libs(js_urls, callback) {\n",
       "    window._bokeh_onload_callbacks.push(callback);\n",
       "    if (window._bokeh_is_loading > 0) {\n",
       "      console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      };\n",
       "      s.onerror = function() {\n",
       "        console.warn(\"failed to load library \" + url);\n",
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       "      console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.getElementsByTagName(\"head\")[0].appendChild(s);\n",
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       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-0.12.1.min.css\");\n",
       "      console.log(\"Bokeh: injecting CSS: https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.1.min.css\");\n",
       "      Bokeh.embed.inject_css(\"https://cdn.pydata.org/bokeh/release/bokeh-widgets-0.12.1.min.css\");\n",
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       "    for (var i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i](window.Bokeh);\n",
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       "  }\n",
       "\n",
       "  if (window._bokeh_is_loading === 0) {\n",
       "    console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
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       "    load_libs(js_urls, function() {\n",
       "      console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
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       "  }\n",
       "}(this));"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from bokeh.plotting import figure, output_notebook, show\n",
    "from bokeh.models import HoverTool, ColumnDataSource\n",
    "from bokeh import palettes\n",
    "output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 349,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def viz_front(fronts):\n",
    "    TOOLS = \"pan,wheel_zoom,box_zoom,reset,resize\"\n",
    "    hover = HoverTool(\n",
    "            tooltips=[\n",
    "                (\"index\", \"$index\"),\n",
    "                (\"(x,y)\", \"($x, $y)\"),\n",
    "                (\"individual\", \"@ind\"),\n",
    "            ]\n",
    "        )\n",
    "    front_colors = []\n",
    "    p = figure(plot_width=700, plot_height=700, tools=[TOOLS,hover], title=\"NSGAii Test\")\n",
    "\n",
    "    for i,inds in enumerate(fronts):\n",
    "        par = [(ind, toolbox.evaluate(ind)) for ind in inds]\n",
    "        source = ColumnDataSource(\n",
    "                data=dict(\n",
    "                    x= [p[1][0] for p in par],\n",
    "                    y= [p[1][1] for p in par],\n",
    "                    ind= [p[0] for p in par]\n",
    "                )\n",
    "            )\n",
    "        p.circle('x', 'y', size=10, source=source, alpha=0.7, fill_color=palettes.YlGnBu9[i], legend='Front %s'%(i+1), line_color=\"#ffffff\")\n",
    "    show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
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       "<script type=\"text/javascript\">\n",
       "  \n",
       "  (function(global) {\n",
       "    function now() {\n",
       "      return new Date();\n",
       "    }\n",
       "  \n",
       "    var force = \"\";\n",
       "  \n",
       "    if (typeof (window._bokeh_onload_callbacks) === \"undefined\" || force !== \"\") {\n",
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       "    }\n",
       "  \n",
       "    function run_callbacks() {\n",
       "      window._bokeh_onload_callbacks.forEach(function(callback) { callback() });\n",
       "      delete window._bokeh_onload_callbacks\n",
       "      console.info(\"Bokeh: all callbacks have finished\");\n",
       "    }\n",
       "  \n",
       "    function load_libs(js_urls, callback) {\n",
       "      window._bokeh_onload_callbacks.push(callback);\n",
       "      if (window._bokeh_is_loading > 0) {\n",
       "        console.log(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
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       "      if (js_urls == null || js_urls.length === 0) {\n",
       "        run_callbacks();\n",
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       "          if (window._bokeh_is_loading === 0) {\n",
       "            console.log(\"Bokeh: all BokehJS libraries loaded\");\n",
       "            run_callbacks()\n",
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       "        };\n",
       "        s.onerror = function() {\n",
       "          console.warn(\"failed to load library \" + url);\n",
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       "        console.log(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
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       "    };var element = document.getElementById(\"80ff660d-98a9-426a-8616-f895a17ffd27\");\n",
       "    if (element == null) {\n",
       "      console.log(\"Bokeh: ERROR: autoload.js configured with elementid '80ff660d-98a9-426a-8616-f895a17ffd27' but no matching script tag was found. \")\n",
       "      return false;\n",
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       "  \n",
       "    var js_urls = [];\n",
       "  \n",
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       "      function(Bokeh) {\n",
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     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "viz_front(fronts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 372,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[26, 25, 0, 6, 7]"
      ]
     },
     "execution_count": 372,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fronts[0][0] # One of the Obtimal Solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>street_ko</th>\n",
       "      <th>street_en</th>\n",
       "      <th>address</th>\n",
       "      <th>dong_ko</th>\n",
       "      <th>dong_en</th>\n",
       "      <th>lng</th>\n",
       "      <th>lat</th>\n",
       "      <th>score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>이태원거리</td>\n",
       "      <td>Itaewon street</td>\n",
       "      <td>서울시 용산구 이태원1동 일대</td>\n",
       "      <td>이태원1동</td>\n",
       "      <td>Itaewon2-dong</td>\n",
       "      <td>126.991704</td>\n",
       "      <td>37.538994</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>경리단길</td>\n",
       "      <td>Finance corps street</td>\n",
       "      <td>서울시 용산구 이태원2동 일대</td>\n",
       "      <td>이태원2동</td>\n",
       "      <td>Itaewon2-dong</td>\n",
       "      <td>126.991664</td>\n",
       "      <td>37.539718</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>남대문거리</td>\n",
       "      <td>fishing-tackle street</td>\n",
       "      <td>서울시 중구 회현동 일대</td>\n",
       "      <td>회현동</td>\n",
       "      <td>Hoehyeon-dong</td>\n",
       "      <td>126.977432</td>\n",
       "      <td>37.558050</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>돌담길</td>\n",
       "      <td>Doldam-gil</td>\n",
       "      <td>서울시 중구 소공동 일대</td>\n",
       "      <td>소공동</td>\n",
       "      <td>Sogong-dong</td>\n",
       "      <td>126.979934</td>\n",
       "      <td>37.564130</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>명동거리</td>\n",
       "      <td>Myeong-dong street</td>\n",
       "      <td>서울시 중구 명동 일대</td>\n",
       "      <td>명동</td>\n",
       "      <td>Myeong-dong</td>\n",
       "      <td>126.978819</td>\n",
       "      <td>37.568059</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   street_ko              street_en           address dong_ko        dong_en  \\\n",
       "26     이태원거리         Itaewon street  서울시 용산구 이태원1동 일대   이태원1동  Itaewon2-dong   \n",
       "25      경리단길   Finance corps street  서울시 용산구 이태원2동 일대   이태원2동  Itaewon2-dong   \n",
       "0      남대문거리  fishing-tackle street     서울시 중구 회현동 일대     회현동  Hoehyeon-dong   \n",
       "6        돌담길             Doldam-gil     서울시 중구 소공동 일대     소공동    Sogong-dong   \n",
       "7       명동거리     Myeong-dong street      서울시 중구 명동 일대      명동    Myeong-dong   \n",
       "\n",
       "           lng        lat  score  \n",
       "26  126.991704  37.538994     99  \n",
       "25  126.991664  37.539718     99  \n",
       "0   126.977432  37.558050     80  \n",
       "6   126.979934  37.564130     34  \n",
       "7   126.978819  37.568059     97  "
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_spot.ix[fronts[0][0]] # Information of that solution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(8.789777175220761, 492)\n"
     ]
    },
    {
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        </body>
        <script>
            
        
            

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            var northEast = L.latLng(90, 180);
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                var poly_line_2e50a469777b498ab2ff856550190493 = L.polyline(
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                [37.5238250318,127.029231648],
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                    icon: new L.Icon.Default()
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                )
                .addTo(map_3b23baa76f2045d2aeb1dbfc9b52a6a5);
            
        
            
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                popup_aa9a710385924988aa705c8261ecf602.setContent(html_b0c466162f1f409ca849f97a821f043d);
            

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                .addTo(map_3b23baa76f2045d2aeb1dbfc9b52a6a5);
            
        
            
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                var html_f71c90a391864275ba12846b039d1c57 = $('         <div id="html_f71c90a391864275ba12846b039d1c57"                 style="width: 100.0%; height: 100.0%;">                 Finance corps street // Score : 99 </div>                 ')[0];
                popup_8ec105ebbcbe45e3bdbe479d26ec3587.setContent(html_f71c90a391864275ba12846b039d1c57);
            

            marker_dece6da099064098a61aaf89e7d184cb.bindPopup(popup_8ec105ebbcbe45e3bdbe479d26ec3587);

            
        
        
            

            var marker_dcad5651c5cd4cda957d26ec24294bd8 = L.marker(
                [37.5389940111,126.991703952],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_3b23baa76f2045d2aeb1dbfc9b52a6a5);
            
        
            
            var popup_731b3e7e47ea40928cbfdce97c5df898 = L.popup({maxWidth: '300'});

            
                var html_e1b112312b20498fbe567f63e340f532 = $('         <div id="html_e1b112312b20498fbe567f63e340f532"                 style="width: 100.0%; height: 100.0%;">                 Itaewon street // Score : 99 </div>                 ')[0];
                popup_731b3e7e47ea40928cbfdce97c5df898.setContent(html_e1b112312b20498fbe567f63e340f532);
            

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                    }
                )
                .addTo(map_3b23baa76f2045d2aeb1dbfc9b52a6a5);
            
        
            
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                popup_f310355d16ff4a00af76f55ab480d1b1.setContent(html_9287a56e781745539ec13af63acbb533);
            

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                    }
                )
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                popup_b767ac4d124b4c85aac16f055b988ddb.setContent(html_10d8429fad264c20beddab961081b67c);
            

            marker_3a86666e19d84c9db3957be47354d785.bindPopup(popup_b767ac4d124b4c85aac16f055b988ddb);

            
        
        
        
        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x1093c2a20>"
      ]
     },
     "execution_count": 362,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(eval_func(fronts[0][99])) # Higher score but Longer distance\n",
    "plot_tour(fronts[0][99])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(2.8339269365500295, 409)\n"
     ]
    },
    {
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                }
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        </body>
        <script>
            
        
            

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                    minZoom: 1,
                    attribution: 'Data by <a href="http://openstreetmap.org">OpenStreetMap</a>, under <a href="http://www.openstreetmap.org/copyright">ODbL</a>.',
                    detectRetina: false
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                var poly_line_c66bb9f1b267439fae41b2cd20d20356 = L.polyline(
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                map_8c2d28d0be2a44e39c0a5790dbe1fd8e.addLayer(poly_line_c66bb9f1b267439fae41b2cd20d20356);
            
        
            

            var marker_3e452e8fb7e8427a9b8fe5c491120ca1 = L.marker(
                [37.5389940111,126.991703952],
                {
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                )
                .addTo(map_8c2d28d0be2a44e39c0a5790dbe1fd8e);
            
        
            
            var popup_50fa54f5faeb40d38b9ef7739f3757f4 = L.popup({maxWidth: '300'});

            
                var html_35772ca30c7a42dc8b576e83e93f1d59 = $('         <div id="html_35772ca30c7a42dc8b576e83e93f1d59"                 style="width: 100.0%; height: 100.0%;">                 Itaewon street // Score : 99 </div>                 ')[0];
                popup_50fa54f5faeb40d38b9ef7739f3757f4.setContent(html_35772ca30c7a42dc8b576e83e93f1d59);
            

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            var marker_cc46df0bd35a47a5a7c810f988a37446 = L.marker(
                [37.539718,126.9916641],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_8c2d28d0be2a44e39c0a5790dbe1fd8e);
            
        
            
            var popup_b54012b4932a420aa8fb42ae68711971 = L.popup({maxWidth: '300'});

            
                var html_353d0c85cfce411391865e2a89450383 = $('         <div id="html_353d0c85cfce411391865e2a89450383"                 style="width: 100.0%; height: 100.0%;">                 Finance corps street // Score : 99 </div>                 ')[0];
                popup_b54012b4932a420aa8fb42ae68711971.setContent(html_353d0c85cfce411391865e2a89450383);
            

            marker_cc46df0bd35a47a5a7c810f988a37446.bindPopup(popup_b54012b4932a420aa8fb42ae68711971);

            
        
        
            

            var marker_941594a67d474f61b881569a3cbe2dfa = L.marker(
                [37.5580500713,126.977432447],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_8c2d28d0be2a44e39c0a5790dbe1fd8e);
            
        
            
            var popup_7455223f9a4d42be88df3d3bccf42521 = L.popup({maxWidth: '300'});

            
                var html_de1a6a45b95040a49ea6e6056e0727e0 = $('         <div id="html_de1a6a45b95040a49ea6e6056e0727e0"                 style="width: 100.0%; height: 100.0%;">                 fishing-tackle street // Score : 80 </div>                 ')[0];
                popup_7455223f9a4d42be88df3d3bccf42521.setContent(html_de1a6a45b95040a49ea6e6056e0727e0);
            

            marker_941594a67d474f61b881569a3cbe2dfa.bindPopup(popup_7455223f9a4d42be88df3d3bccf42521);

            
        
        
            

            var marker_67e546a1ed2945b58f334d82cff41d9b = L.marker(
                [37.5641304492,126.979934299],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_8c2d28d0be2a44e39c0a5790dbe1fd8e);
            
        
            
            var popup_c49559bef6384cfca1d1cb0e09e3c491 = L.popup({maxWidth: '300'});

            
                var html_a310028df70f46b283fa73540858f66d = $('         <div id="html_a310028df70f46b283fa73540858f66d"                 style="width: 100.0%; height: 100.0%;">                 Doldam-gil // Score : 34 </div>                 ')[0];
                popup_c49559bef6384cfca1d1cb0e09e3c491.setContent(html_a310028df70f46b283fa73540858f66d);
            

            marker_67e546a1ed2945b58f334d82cff41d9b.bindPopup(popup_c49559bef6384cfca1d1cb0e09e3c491);

            
        
        
            

            var marker_39d3cd8b5bfb46d684c443368f50b4ad = L.marker(
                [37.568058597,126.978819431],
                {
                    icon: new L.Icon.Default()
                    }
                )
                .addTo(map_8c2d28d0be2a44e39c0a5790dbe1fd8e);
            
        
            
            var popup_8feab58b6a7e41f1aef347505a2f77d4 = L.popup({maxWidth: '300'});

            
                var html_5ebb9bd1ad5d409b8355e07685d047d7 = $('         <div id="html_5ebb9bd1ad5d409b8355e07685d047d7"                 style="width: 100.0%; height: 100.0%;">                 Myeong-dong street // Score : 97 </div>                 ')[0];
                popup_8feab58b6a7e41f1aef347505a2f77d4.setContent(html_5ebb9bd1ad5d409b8355e07685d047d7);
            

            marker_39d3cd8b5bfb46d684c443368f50b4ad.bindPopup(popup_8feab58b6a7e41f1aef347505a2f77d4);

            
        
        
        
        </script>
        \" style=\"position:absolute;width:100%;height:100%;left:0;top:0;\"></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x108d4b898>"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(eval_func(fronts[0][0]))  # Shorter distance but Lower score\n",
    "plot_tour(fronts[0][0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
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   "outputs": [],
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  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": []
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