GAN을 활용한 Missing Value  처리하기.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## [Reference](https://github.com/jsyoon0823/GAIN)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import tensorflow as tf\n",
    "import numpy as np , pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "import os\n",
    "from sklearn.preprocessing import MinMaxScaler\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "import pprint\n",
    "from IPython.display import clear_output\n",
    "import warnings\n",
    "import missingno as msno\n",
    "warnings.filterwarnings('ignore')\n",
    "pp = pprint.PrettyPrinter(width=30, indent=10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "device = [\"/gpu:0\" , \"/gpu:1\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "\n",
    "sys.path.append('/home/advice/Python/SR/Custom/')\n",
    "from cat_num_corrplot import *\n",
    "from Init import *\n",
    "from CompressData import *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:100% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.core.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:100% !important; }</style>\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#os.environ['CUDA_VISIBLE_DEVICES'] = '0'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv(\"./../Data/Rain/weatherAUS.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Date</th>\n",
       "      <th>Location</th>\n",
       "      <th>MinTemp</th>\n",
       "      <th>MaxTemp</th>\n",
       "      <th>Rainfall</th>\n",
       "      <th>Evaporation</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>WindGustDir</th>\n",
       "      <th>WindGustSpeed</th>\n",
       "      <th>WindDir9am</th>\n",
       "      <th>...</th>\n",
       "      <th>Humidity3pm</th>\n",
       "      <th>Pressure9am</th>\n",
       "      <th>Pressure3pm</th>\n",
       "      <th>Cloud9am</th>\n",
       "      <th>Cloud3pm</th>\n",
       "      <th>Temp9am</th>\n",
       "      <th>Temp3pm</th>\n",
       "      <th>RainToday</th>\n",
       "      <th>RISK_MM</th>\n",
       "      <th>RainTomorrow</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008-12-01</td>\n",
       "      <td>Albury</td>\n",
       "      <td>13.4</td>\n",
       "      <td>22.9</td>\n",
       "      <td>0.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>W</td>\n",
       "      <td>44.0</td>\n",
       "      <td>W</td>\n",
       "      <td>...</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1007.7</td>\n",
       "      <td>1007.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>16.9</td>\n",
       "      <td>21.8</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2008-12-02</td>\n",
       "      <td>Albury</td>\n",
       "      <td>7.4</td>\n",
       "      <td>25.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WNW</td>\n",
       "      <td>44.0</td>\n",
       "      <td>NNW</td>\n",
       "      <td>...</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1010.6</td>\n",
       "      <td>1007.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>17.2</td>\n",
       "      <td>24.3</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2008-12-03</td>\n",
       "      <td>Albury</td>\n",
       "      <td>12.9</td>\n",
       "      <td>25.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>WSW</td>\n",
       "      <td>46.0</td>\n",
       "      <td>W</td>\n",
       "      <td>...</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1007.6</td>\n",
       "      <td>1008.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>21.0</td>\n",
       "      <td>23.2</td>\n",
       "      <td>No</td>\n",
       "      <td>0.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2008-12-04</td>\n",
       "      <td>Albury</td>\n",
       "      <td>9.2</td>\n",
       "      <td>28.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NE</td>\n",
       "      <td>24.0</td>\n",
       "      <td>SE</td>\n",
       "      <td>...</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1017.6</td>\n",
       "      <td>1012.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.1</td>\n",
       "      <td>26.5</td>\n",
       "      <td>No</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2008-12-05</td>\n",
       "      <td>Albury</td>\n",
       "      <td>17.5</td>\n",
       "      <td>32.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>W</td>\n",
       "      <td>41.0</td>\n",
       "      <td>ENE</td>\n",
       "      <td>...</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1010.8</td>\n",
       "      <td>1006.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>17.8</td>\n",
       "      <td>29.7</td>\n",
       "      <td>No</td>\n",
       "      <td>0.2</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         Date Location  MinTemp  MaxTemp  Rainfall  Evaporation  Sunshine  \\\n",
       "0  2008-12-01   Albury     13.4     22.9       0.6          NaN       NaN   \n",
       "1  2008-12-02   Albury      7.4     25.1       0.0          NaN       NaN   \n",
       "2  2008-12-03   Albury     12.9     25.7       0.0          NaN       NaN   \n",
       "3  2008-12-04   Albury      9.2     28.0       0.0          NaN       NaN   \n",
       "4  2008-12-05   Albury     17.5     32.3       1.0          NaN       NaN   \n",
       "\n",
       "  WindGustDir  WindGustSpeed WindDir9am  ... Humidity3pm  Pressure9am  \\\n",
       "0           W           44.0          W  ...        22.0       1007.7   \n",
       "1         WNW           44.0        NNW  ...        25.0       1010.6   \n",
       "2         WSW           46.0          W  ...        30.0       1007.6   \n",
       "3          NE           24.0         SE  ...        16.0       1017.6   \n",
       "4           W           41.0        ENE  ...        33.0       1010.8   \n",
       "\n",
       "   Pressure3pm  Cloud9am  Cloud3pm  Temp9am  Temp3pm  RainToday  RISK_MM  \\\n",
       "0       1007.1       8.0       NaN     16.9     21.8         No      0.0   \n",
       "1       1007.8       NaN       NaN     17.2     24.3         No      0.0   \n",
       "2       1008.7       NaN       2.0     21.0     23.2         No      0.0   \n",
       "3       1012.8       NaN       NaN     18.1     26.5         No      1.0   \n",
       "4       1006.0       7.0       8.0     17.8     29.7         No      0.2   \n",
       "\n",
       "   RainTomorrow  \n",
       "0            No  \n",
       "1            No  \n",
       "2            No  \n",
       "3            No  \n",
       "4            No  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 명목형 수치형 한꺼번에 Corr Plot 그리기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "catcols = data.select_dtypes(\"object\").columns.tolist()\n",
    "vis_data = data.fillna(0)\n",
    "results = associations(vis_data ,nominal_columns=catcols,return_results=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average memory usage for float columns: 1.02 MB\n",
      "Average memory usage for int columns: 0.00 MB\n",
      "Average memory usage for object columns: 7.29 MB\n",
      "Change Memroy : 0.00 MB == > 0.00 MB\n",
      "Change Memroy : 18.44 MB == > 9.22 MB\n",
      "Change Memroy : 58.35 MB == > 1.47 MB\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'10.69 MB'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mem_usage(data)\n",
    "type_memory(data)\n",
    "data = int_memory_reduce(data)\n",
    "data = float_memory_reduce(data)\n",
    "data = object_memory_reduce(data)\n",
    "mem_usage(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Date             category\n",
       "Location         category\n",
       "MinTemp           float32\n",
       "MaxTemp           float32\n",
       "Rainfall          float32\n",
       "Evaporation       float32\n",
       "Sunshine          float32\n",
       "WindGustDir      category\n",
       "WindGustSpeed     float32\n",
       "WindDir9am       category\n",
       "WindDir3pm       category\n",
       "WindSpeed9am      float32\n",
       "WindSpeed3pm      float32\n",
       "Humidity9am       float32\n",
       "Humidity3pm       float32\n",
       "Pressure9am       float32\n",
       "Pressure3pm       float32\n",
       "Cloud9am          float32\n",
       "Cloud3pm          float32\n",
       "Temp9am           float32\n",
       "Temp3pm           float32\n",
       "RainToday        category\n",
       "RISK_MM           float32\n",
       "RainTomorrow     category\n",
       "dtype: object"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 결측치 시각화\n",
    "* 추측컨데, 날씨가 너무 흐려서 관측소에서 데이터가 잡히지 않아서 발생하는 결측치 인 것 같다.\n",
    "    * Cloud , Evaporation  과 같이 날씨가 우중충 할 때 이러한 수치들의 변화가 있을건데, 그때 영향을 받았을 거라 생각한다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f333c3dc048>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1800x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.dendrogram(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "연속형 variable : Date , count : 3436 \n",
      "factor variable : Location, count : 49 \n",
      "연속형 variable : MinTemp , count : 389 \n",
      "연속형 variable : MaxTemp , count : 505 \n",
      "연속형 variable : Rainfall , count : 679 \n",
      "연속형 variable : Evaporation , count : 356 \n",
      "연속형 variable : Sunshine , count : 145 \n",
      "factor variable : WindGustDir, count : 16 \n",
      "연속형 variable : WindGustSpeed , count : 67 \n",
      "factor variable : WindDir9am, count : 16 \n",
      "factor variable : WindDir3pm, count : 16 \n",
      "factor variable : WindSpeed9am, count : 43 \n",
      "factor variable : WindSpeed3pm, count : 44 \n",
      "연속형 variable : Humidity9am , count : 101 \n",
      "연속형 variable : Humidity3pm , count : 101 \n",
      "연속형 variable : Pressure9am , count : 546 \n",
      "연속형 variable : Pressure3pm , count : 549 \n",
      "factor variable : Cloud9am, count : 10 \n",
      "factor variable : Cloud3pm, count : 10 \n",
      "연속형 variable : Temp9am , count : 440 \n",
      "연속형 variable : Temp3pm , count : 500 \n",
      "factor variable : RainToday, count : 2 \n",
      "binary RainToday\n",
      "연속형 variable : RISK_MM , count : 681 \n",
      "factor variable : RainTomorrow, count : 2 \n",
      "binary RainTomorrow\n"
     ]
    }
   ],
   "source": [
    "fac_var = []\n",
    "num_var = []\n",
    "for i in list(data) : \n",
    "    if data[i].nunique() < 50 : \n",
    "        print(\"factor variable : {}, count : {} \".format(i, data[i].nunique()))\n",
    "        fac_var.append(i)\n",
    "        if data[i].nunique() == 2 :\n",
    "            print(\"binary\" , i)\n",
    "    else : \n",
    "        print(\"연속형 variable : {} , count : {} \".format(i, data[i].nunique()))\n",
    "        num_var.append(i)\n",
    "        \n",
    "data = data.loc[:,fac_var + num_var]\n",
    "\n",
    "col = list(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 결측치를 cat.codes 하게 되면 `-1` 발생"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63     -1\n",
       "64     -1\n",
       "451    -1\n",
       "1044   -1\n",
       "1045   -1\n",
       "dtype: int8"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = data.WindGustDir.isna()\n",
    "data.WindGustDir.cat.codes[a].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Category 값 dict 형태로 저장하기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Location\n",
      "WindGustDir\n",
      "WindDir9am\n",
      "WindDir3pm\n",
      "RainToday\n",
      "RainTomorrow\n",
      "Date\n"
     ]
    }
   ],
   "source": [
    "object_names = data.select_dtypes(\"category\").columns\n",
    "value_to_code = {}\n",
    "code_to_value = {}\n",
    "for object_name in object_names:\n",
    "    print(object_name)\n",
    "    col = data[object_name].dropna()\n",
    "    keys = np.sort(col.cat.codes.unique())\n",
    "    values = np.sort(col.unique())\n",
    "    dic = dict(zip(values, keys))\n",
    "    value_to_code[object_name] = dic\n",
    "    dic = dict(zip(keys, values))\n",
    "    code_to_value[object_name] = dic\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 한꺼번에 replace 시키기 \n",
    "* `na`는 그대로 유지하면서 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.replace(value_to_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>WindGustDir</th>\n",
       "      <th>WindDir9am</th>\n",
       "      <th>WindDir3pm</th>\n",
       "      <th>WindSpeed9am</th>\n",
       "      <th>WindSpeed3pm</th>\n",
       "      <th>Cloud9am</th>\n",
       "      <th>Cloud3pm</th>\n",
       "      <th>RainToday</th>\n",
       "      <th>RainTomorrow</th>\n",
       "      <th>...</th>\n",
       "      <th>Evaporation</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>WindGustSpeed</th>\n",
       "      <th>Humidity9am</th>\n",
       "      <th>Humidity3pm</th>\n",
       "      <th>Pressure9am</th>\n",
       "      <th>Pressure3pm</th>\n",
       "      <th>Temp9am</th>\n",
       "      <th>Temp3pm</th>\n",
       "      <th>RISK_MM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2</td>\n",
       "      <td>13.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>14.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1007.700012</td>\n",
       "      <td>1007.099976</td>\n",
       "      <td>16.900000</td>\n",
       "      <td>21.799999</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>14.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>44.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>1010.599976</td>\n",
       "      <td>1007.799988</td>\n",
       "      <td>17.200001</td>\n",
       "      <td>24.299999</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>46.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1007.599976</td>\n",
       "      <td>1008.700012</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>23.200001</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>24.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>1017.599976</td>\n",
       "      <td>1012.799988</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>33.0</td>\n",
       "      <td>1010.799988</td>\n",
       "      <td>1006.000000</td>\n",
       "      <td>17.799999</td>\n",
       "      <td>29.700001</td>\n",
       "      <td>0.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Location  WindGustDir  WindDir9am  WindDir3pm  WindSpeed9am  WindSpeed3pm  \\\n",
       "0         2         13.0        13.0        14.0          20.0          24.0   \n",
       "1         2         14.0         6.0        15.0           4.0          22.0   \n",
       "2         2         15.0        13.0        15.0          19.0          26.0   \n",
       "3         2          4.0         9.0         0.0          11.0           9.0   \n",
       "4         2         13.0         1.0         7.0           7.0          20.0   \n",
       "\n",
       "   Cloud9am  Cloud3pm  RainToday  RainTomorrow  ...  Evaporation  Sunshine  \\\n",
       "0       8.0       NaN        0.0             0  ...          NaN       NaN   \n",
       "1       NaN       NaN        0.0             0  ...          NaN       NaN   \n",
       "2       NaN       2.0        0.0             0  ...          NaN       NaN   \n",
       "3       NaN       NaN        0.0             0  ...          NaN       NaN   \n",
       "4       7.0       8.0        0.0             0  ...          NaN       NaN   \n",
       "\n",
       "   WindGustSpeed  Humidity9am  Humidity3pm  Pressure9am  Pressure3pm  \\\n",
       "0           44.0         71.0         22.0  1007.700012  1007.099976   \n",
       "1           44.0         44.0         25.0  1010.599976  1007.799988   \n",
       "2           46.0         38.0         30.0  1007.599976  1008.700012   \n",
       "3           24.0         45.0         16.0  1017.599976  1012.799988   \n",
       "4           41.0         82.0         33.0  1010.799988  1006.000000   \n",
       "\n",
       "     Temp9am    Temp3pm  RISK_MM  \n",
       "0  16.900000  21.799999      0.0  \n",
       "1  17.200001  24.299999      0.0  \n",
       "2  21.000000  23.200001      0.0  \n",
       "3  18.100000  26.500000      1.0  \n",
       "4  17.799999  29.700001      0.2  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Location', 'WindGustDir', 'WindDir9am', 'WindDir3pm', 'WindSpeed9am',\n",
       "       'WindSpeed3pm', 'Cloud9am', 'Cloud3pm', 'RainToday', 'RainTomorrow',\n",
       "       'Date', 'MinTemp', 'MaxTemp', 'Rainfall', 'Evaporation', 'Sunshine',\n",
       "       'WindGustSpeed', 'Humidity9am', 'Humidity3pm', 'Pressure9am',\n",
       "       'Pressure3pm', 'Temp9am', 'Temp3pm', 'RISK_MM'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Location',\n",
       " 'WindGustDir',\n",
       " 'WindDir9am',\n",
       " 'WindDir3pm',\n",
       " 'RainToday',\n",
       " 'RainTomorrow',\n",
       " 'Date']"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "object_names.values.tolist()\n",
    "0 1, 2, 3 , 8, 9, 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "_, Dim = np.shape(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "na_idx = data.isna().sum(axis = 1) > 0 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "notna_data = data[~na_idx]\n",
    "missing_data = data[na_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(85773, 24)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(missing_data.shape)\n",
    "msno.bar(missing_data);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Columns 마다 missing 비율을 다르게 해서 줘야하는 것인지...\n",
    "\n",
    "1. 전체 퉁쳐서 임의로 랜덤 비율만큼을 준다.\n",
    "2. 비율을 고려해서 랜덤을 준다. \n",
    "\n",
    "> 일단 전체 랜덤 비율을 가지고 랜덤하게 주는 걸로 진행\n",
    "* 이렇게 진행했을 때의 문제점은 비율이 작은 부분에 대해서도 Missing 이 있으면 결측치있는 데이터라고 하기 때문에 실제 학습에서 쓸 수 있는 데이터양이 줄어든다는 단점이 있다. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## GAN에서 학습시킬 수 있고 Scaling 진행\n",
    "* numeric {0 ~ 1}\n",
    "* factor\n",
    "    * 1 ,2 ,3, 4 -> (0 , 0.33 , 0.66 , 1) ? 이런식으로"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "scaler = MinMaxScaler(feature_range= (0.01,0.99))\n",
    "S_data = scaler.fit_transform(notna_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing 없는 데이터로 학습 나누기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainX, testX  = train_test_split(S_data , test_size = 0.33, random_state = 42)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing Ratio :  0.6032153481535659\n"
     ]
    }
   ],
   "source": [
    "mb_size = 128\n",
    "p_miss = len(missing_data)  / len(data)\n",
    "print(\"Missing Ratio : \", p_miss)\n",
    "p_hint = 0.9\n",
    "alpha = 10\n",
    "\n",
    "def sample_M(m, n, p):\n",
    "    A = np.random.uniform(0., 1., size = [m, n])\n",
    "    ## p 기준으로 True False \n",
    "    B = A > p\n",
    "    ## 맞으면 1 아니면 0 \n",
    "    C = 1.*B\n",
    "    \"\"\"해당하는 배치사이즈만큼의 mask vector 와 hint vector 생성\"\"\"\n",
    "    return C"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "Train_No , Test_No = len(trainX) , len(testX)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "trainM = sample_M(Train_No, Dim, p_miss)\n",
    "testM = sample_M(Test_No, Dim, p_miss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "array([[1., 0., 0., 1., 0., 0., 1., 0., 0., 1., 0., 1., 1., 0., 1., 0.,\n",
      "        1., 1., 0., 0., 1., 0., 0., 0.],\n",
      "       [1., 0., 1., 1., 0., 0., 0., 0., 0., 1., 1., 1., 0., 1., 1., 0.,\n",
      "        0., 1., 0., 0., 0., 0., 1., 1.],\n",
      "       [1., 0., 1., 0., 1., 0., 1., 0., 0., 1., 0., 0., 1., 0., 1., 0.,\n",
      "        1., 0., 0., 1., 1., 0., 1., 1.],\n",
      "       [1., 1., 0., 1., 0., 1., 1., 1., 1., 1., 0., 0., 1., 0., 0., 0.,\n",
      "        0., 0., 0., 0., 0., 0., 1., 0.],\n",
      "       [0., 0., 0., 1., 0., 0., 0., 1., 1., 0., 0., 1., 0., 0., 1., 1.,\n",
      "        1., 0., 0., 0., 0., 1., 0., 1.]])\n"
     ]
    }
   ],
   "source": [
    "pp.pprint(trainM[0 :5, :])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gaussian_act(x) :\n",
    "    return tf.exp(-x**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "def G( x,z,m , reuse = tf.AUTO_REUSE) : \n",
    "    with tf.device(device[1]) :\n",
    "        with tf.variable_scope(\"Generator\" , reuse = reuse) as scope: \n",
    "            G_W1 = tf.get_variable(\"GW1\",[Dim*2, h_dim], dtype=tf.float32 , initializer=tf.contrib.layers.xavier_initializer())\n",
    "            G_b1 = tf.get_variable(\"GB1\",[h_dim],dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            G_W2 = tf.get_variable(\"GW2\" ,[h_dim, h_dim], dtype=tf.float32, initializer=tf.contrib.layers.xavier_initializer())\n",
    "            G_b2 = tf.get_variable(\"GB2\",[h_dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            G_W3 = tf.get_variable(\"GW3\" ,[h_dim, h_dim], dtype=tf.float32, initializer=tf.contrib.layers.xavier_initializer())\n",
    "            G_b3 = tf.get_variable(\"GB3\",[h_dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            G_W4 = tf.get_variable(\"GW4\" ,[h_dim, Dim], dtype=tf.float32)\n",
    "            G_b4 = tf.get_variable(\"GB4\",[Dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            \n",
    "            \n",
    "            inp = m * x + (1-m) * z  # Fill in random noise on the missing values\n",
    "            inputs = tf.concat(axis = 1, values = [inp,m])  # Mask + Data Concatenate\n",
    "            G_h1 = tf.matmul(inputs, G_W1 ) + G_b1\n",
    "            G_h1 = tf.contrib.layers.batch_norm(G_h1)\n",
    "            #G_h1 = tf.layers.dropout(G_h1)\n",
    "            G_h1 = tf.nn.leaky_relu(G_h1)\n",
    "            G_h2 = tf.matmul(G_h1, G_W2 ) + G_b2\n",
    "            G_h2 = tf.contrib.layers.batch_norm(G_h2)\n",
    "            #G_h2 = tf.layers.dropout(G_h2)\n",
    "            G_h2 = tf.nn.leaky_relu(G_h2)\n",
    "            G_h3 = tf.matmul(G_h2, G_W3) + G_b3\n",
    "            #G_h3 = tf.layers.dropout(G_h3)\n",
    "            G_h3 = tf.contrib.layers.batch_norm(G_h3)\n",
    "            G_h3 = tf.nn.leaky_relu(G_h3)\n",
    "            \n",
    "            G_log_prob = tf.matmul(G_h3, G_W4) # + G_b2 Bias는 일단 제외 \n",
    "            G_log_prob = gaussian_act(G_log_prob)\n",
    "            \n",
    "        return G_log_prob \n",
    "\n",
    "    \n",
    "def D(x, m, g, h,reuse=tf.AUTO_REUSE ):\n",
    "    with tf.device(device[0]) :\n",
    "        with tf.variable_scope( \"Discriminator\" ,reuse=reuse  ) as scope :\n",
    "            inp = m * x + (1-m) * g  \n",
    "            inputs = tf.concat(axis = 1, values = [inp,h])  # Hint + Data Concatenate\n",
    "            D_W1 = tf.get_variable(\"DW1\",[Dim*2, h_dim], dtype=tf.float32)\n",
    "            D_b1 = tf.get_variable(\"DB1\", [h_dim], dtype=tf.float32 , initializer=tf.constant_initializer(0.0))\n",
    "            D_W2 = tf.get_variable(\"DW2\",[h_dim, h_dim], dtype=tf.float32)\n",
    "            D_b2 = tf.get_variable(\"DB2\",[h_dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            D_W3 = tf.get_variable(\"DW3\",[h_dim, h_dim], dtype=tf.float32)\n",
    "            D_b3 = tf.get_variable(\"DB3\",[h_dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            D_W4 = tf.get_variable(\"DW4\",[h_dim, Dim], dtype=tf.float32)\n",
    "            D_b4 = tf.get_variable(\"DB4\",[Dim], dtype=tf.float32, initializer=tf.constant_initializer(0.0))\n",
    "            \n",
    "            \n",
    "            D_h1 = tf.nn.leaky_relu(tf.matmul(inputs, spectral_norm(D_W1 , name =\"sn1\")) + D_b1)\n",
    "            D_h2 = tf.nn.leaky_relu(tf.matmul(D_h1, spectral_norm(D_W2 , name =\"sn2\")) + D_b2)\n",
    "            D_h3 = tf.nn.leaky_relu(tf.matmul(D_h2, spectral_norm(D_W3 , name =\"sn3\")) + D_b3)\n",
    "            out = tf.matmul(D_h3 , D_W4) # + D_b4\n",
    "        return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "def sample_idx(m, n):\n",
    "    A = np.random.permutation(m)\n",
    "    idx = A[:n]\n",
    "    return idx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.reset_default_graph()\n",
    "X = tf.placeholder(tf.float32, shape = [None, Dim])\n",
    "# 1.2. Mask Vector \n",
    "M = tf.placeholder(tf.float32, shape = [None, Dim])\n",
    "# 1.3. Hint vector\n",
    "H = tf.placeholder(tf.float32, shape = [None, Dim])\n",
    "# 1.4. Random Noise Vector\n",
    "Z = tf.placeholder(tf.float32, shape = [None, Dim])\n",
    "\n",
    "h_dim = 96"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "G_sample = G(X,Z,M)\n",
    "D_prob = D(X, M, G_sample, H)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<tf.Variable 'Generator/GW1:0' shape=(48, 96) dtype=float32_ref>, <tf.Variable 'Generator/GB1:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Generator/GW2:0' shape=(96, 96) dtype=float32_ref>, <tf.Variable 'Generator/GB2:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Generator/GW3:0' shape=(96, 96) dtype=float32_ref>, <tf.Variable 'Generator/GB3:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Generator/GW4:0' shape=(96, 24) dtype=float32_ref>, <tf.Variable 'Generator/GB4:0' shape=(24,) dtype=float32_ref>, <tf.Variable 'Generator/BatchNorm/beta:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Generator/BatchNorm_1/beta:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Generator/BatchNorm_2/beta:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Discriminator/DW1:0' shape=(48, 96) dtype=float32_ref>, <tf.Variable 'Discriminator/DB1:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Discriminator/DW2:0' shape=(96, 96) dtype=float32_ref>, <tf.Variable 'Discriminator/DB2:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Discriminator/DW3:0' shape=(96, 96) dtype=float32_ref>, <tf.Variable 'Discriminator/DB3:0' shape=(96,) dtype=float32_ref>, <tf.Variable 'Discriminator/DW4:0' shape=(96, 24) dtype=float32_ref>, <tf.Variable 'Discriminator/DB4:0' shape=(24,) dtype=float32_ref>]\n"
     ]
    }
   ],
   "source": [
    "#%% Loss\n",
    "D_loss1 = -tf.reduce_mean(M * tf.log(D_prob + 1e-8) + (1-M) * tf.log(1. - D_prob + 1e-8)) * 2\n",
    "G_loss1 = -tf.reduce_mean((1-M) * tf.log(D_prob + 1e-8)) / tf.reduce_mean(1-M)\n",
    "MSE_train_loss = tf.reduce_mean((M * X - M * G_sample)**2) / tf.reduce_mean(M)\n",
    "\n",
    "D_loss = D_loss1\n",
    "G_loss = G_loss1  + alpha * MSE_train_loss \n",
    "\n",
    "#%% MSE Performance metric\n",
    "MSE_test_loss = tf.reduce_mean(((1-M) * X - (1-M)*G_sample)**2) / tf.reduce_mean(1-M)\n",
    "\n",
    "t_vars = tf.trainable_variables()\n",
    "print(t_vars)\n",
    "d_vars = [var for var in t_vars if 'Discriminator' in var.name]\n",
    "g_vars = [var for var in t_vars if 'Generator' in var.name]\n",
    "\n",
    "\n",
    "\n",
    "with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):\n",
    "    G_solver = tf.train.AdamOptimizer(1e-4 , beta1=0.5).minimize(G_loss, var_list=g_vars)\n",
    "    D_solver = tf.train.AdamOptimizer(1e-4, beta1=0.5).minimize(D_loss, var_list=d_vars)\n",
    "\n",
    "# Sessions\n",
    "config=tf.ConfigProto(log_device_placement=True)\n",
    "config.gpu_options.allow_growth = True\n",
    "sess = tf.Session(config = config)\n",
    "sess.run(tf.global_variables_initializer())\n",
    "saver = tf.train.Saver()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [],
   "source": [
    "i = 1\n",
    "iteration = 0\n",
    "output = pd.DataFrame({\"iter\" : [iteration] , \"train_loss\" : [0] , \"test_loss\" : [0] })"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "notmissing_matrix = missing_data.isna().values == False\n",
    "notmissing_matrix  = 1.* notmissing_matrix\n",
    "missing_data = missing_data.fillna(0)\n",
    "Missing_Data = scaler.fit_transform(missing_data)\n",
    "testZ = sample_Z(len(Missing_Data), Dim) \n",
    "New_Missing = notmissing_matrix * Missing_Data + (1-notmissing_matrix) * testZ"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0.05083333, 0.85933333, 0.85933333, 0.92466667, 0.16076923,\n",
       "        0.28034483, 0.88111111, 0.28065189, 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.92466667, 0.402     , 0.99      , 0.04015385,\n",
       "        0.25781609, 0.35429233, 0.78629522, 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.99      , 0.85933333, 0.99      , 0.15323077,\n",
       "        0.30287356, 0.43690168, 0.255     , 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.27133333, 0.598     , 0.01      , 0.09292308,\n",
       "        0.11137931, 0.6708435 , 0.2941314 , 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.85933333, 0.07533333, 0.46733333, 0.06276923,\n",
       "        0.23528736, 0.77222222, 0.99      , 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.92466667, 0.85933333, 0.85933333, 0.15323077,\n",
       "        0.28034483, 0.58019797, 0.22874933, 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.85933333, 0.794     , 0.85933333, 0.16076923,\n",
       "        0.28034483, 0.11888889, 0.54358587, 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.85933333, 0.66333333, 0.85933333, 0.05523077,\n",
       "        0.20149425, 0.88480164, 0.56055976, 0.01      , 0.01      ],\n",
       "       [0.05083333, 0.402     , 0.598     , 0.46733333, 0.06276923,\n",
       "        0.3254023 , 0.215059  , 0.19127072, 0.01      , 0.99      ],\n",
       "       [0.05083333, 0.85933333, 0.53266667, 0.66333333, 0.12307692,\n",
       "        0.13390805, 0.45392868, 0.53080111, 0.99      , 0.01      ]])"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "New_Missing[0:10,0:10]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-72-9830383929b3>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     51\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mset_position\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mx0\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0my0\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m0.1\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mwidth\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbox\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mheight\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0;36m0.9\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     52\u001b[0m         \u001b[0max\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlegend\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'upper center'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mbbox_to_anchor\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0.5\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m-\u001b[0m\u001b[0;36m0.05\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfancybox\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mshadow\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mncol\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m4\u001b[0m \u001b[0;34m,\u001b[0m \u001b[0mfontsize\u001b[0m\u001b[0;34m=\u001b[0m \u001b[0;36m20\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 53\u001b[0;31m         \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     54\u001b[0m \u001b[0;31m#     print('Iter: {}'.format(i))\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     55\u001b[0m \u001b[0;31m#     print('Train_loss: {:.4f}'.format(MSE_train_loss_curr))\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/pyplot.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(*args, **kw)\u001b[0m\n\u001b[1;32m    252\u001b[0m     \"\"\"\n\u001b[1;32m    253\u001b[0m     \u001b[0;32mglobal\u001b[0m \u001b[0m_show\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 254\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0m_show\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    255\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    256\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/ipykernel/pylab/backend_inline.py\u001b[0m in \u001b[0;36mshow\u001b[0;34m(close, block)\u001b[0m\n\u001b[1;32m     37\u001b[0m             display(\n\u001b[1;32m     38\u001b[0m                 \u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 39\u001b[0;31m                 \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_fetch_figure_metadata\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfigure_manager\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfigure\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     40\u001b[0m             )\n\u001b[1;32m     41\u001b[0m     \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/display.py\u001b[0m in \u001b[0;36mdisplay\u001b[0;34m(include, exclude, metadata, transient, display_id, *objs, **kwargs)\u001b[0m\n\u001b[1;32m    302\u001b[0m             \u001b[0mpublish_display_data\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmetadata\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mmetadata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    303\u001b[0m         \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 304\u001b[0;31m             \u001b[0mformat_dict\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mmd_dict\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformat\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0minclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0minclude\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mexclude\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mexclude\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    305\u001b[0m             \u001b[0;32mif\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0mformat_dict\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    306\u001b[0m                 \u001b[0;31m# nothing to display (e.g. _ipython_display_ took over)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mformat\u001b[0;34m(self, obj, include, exclude)\u001b[0m\n\u001b[1;32m    178\u001b[0m             \u001b[0mmd\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    179\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 180\u001b[0;31m                 \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mformatter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    181\u001b[0m             \u001b[0;32mexcept\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    182\u001b[0m                 \u001b[0;31m# FIXME: log the exception\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m</root/anaconda3/envs/py36/lib/python3.6/site-packages/decorator.py:decorator-gen-9>\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36mcatch_format_error\u001b[0;34m(method, self, *args, **kwargs)\u001b[0m\n\u001b[1;32m    222\u001b[0m     \u001b[0;34m\"\"\"show traceback on failed format call\"\"\"\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    223\u001b[0m     \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 224\u001b[0;31m         \u001b[0mr\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mmethod\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    225\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mNotImplementedError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    226\u001b[0m         \u001b[0;31m# don't warn on NotImplementedErrors\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/formatters.py\u001b[0m in \u001b[0;36m__call__\u001b[0;34m(self, obj)\u001b[0m\n\u001b[1;32m    339\u001b[0m                 \u001b[0;32mpass\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m             \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 341\u001b[0;31m                 \u001b[0;32mreturn\u001b[0m \u001b[0mprinter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m             \u001b[0;31m# Finally look for special method names\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m             \u001b[0mmethod\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mget_real_method\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mobj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_method\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36m<lambda>\u001b[0;34m(fig)\u001b[0m\n\u001b[1;32m    242\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    243\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'png'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 244\u001b[0;31m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'png'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    245\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0;34m'retina'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0;34m'png2x'\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mformats\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    246\u001b[0m         \u001b[0mpng_formatter\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfor_type\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mFigure\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mlambda\u001b[0m \u001b[0mfig\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mretina_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfig\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/IPython/core/pylabtools.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(fig, fmt, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m    126\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    127\u001b[0m     \u001b[0mbytes_io\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mBytesIO\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 128\u001b[0;31m     \u001b[0mfig\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mcanvas\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mprint_figure\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mbytes_io\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkw\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    129\u001b[0m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mbytes_io\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgetvalue\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    130\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mfmt\u001b[0m \u001b[0;34m==\u001b[0m \u001b[0;34m'svg'\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/backend_bases.py\u001b[0m in \u001b[0;36mprint_figure\u001b[0;34m(self, filename, dpi, facecolor, edgecolor, orientation, format, bbox_inches, **kwargs)\u001b[0m\n\u001b[1;32m   2073\u001b[0m                     \u001b[0morientation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morientation\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2074\u001b[0m                     \u001b[0mbbox_inches_restore\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0m_bbox_inches_restore\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 2075\u001b[0;31m                     **kwargs)\n\u001b[0m\u001b[1;32m   2076\u001b[0m             \u001b[0;32mfinally\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   2077\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mbbox_inches\u001b[0m \u001b[0;32mand\u001b[0m \u001b[0mrestore_bbox\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/envs/py36/lib/python3.6/site-packages/matplotlib/backends/backend_agg.py\u001b[0m in \u001b[0;36mprint_png\u001b[0;34m(self, filename_or_obj, *args, **kwargs)\u001b[0m\n\u001b[1;32m    521\u001b[0m                 \u001b[0mcbook\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mopen_file_cm\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename_or_obj\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"wb\"\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfh\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    522\u001b[0m             _png.write_png(renderer._renderer, fh,\n\u001b[0;32m--> 523\u001b[0;31m                             self.figure.dpi, metadata=metadata)\n\u001b[0m\u001b[1;32m    524\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    525\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mprint_to_buffer\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "save_file = \"./../Save_Model/GAIN-40000.meta\"\n",
    "saver = tf.train.import_meta_graph(save_file)\n",
    "saver.restore(sess, tf.train.latest_checkpoint('./../Save_Model/'))\n",
    "\n",
    "for i in range(10000):    \n",
    "    #%% Inputs\n",
    "    \"\"\"\n",
    "    55000 에서 , 앞에서 mb_size 만큼 뽑기 : mb_idx\n",
    "    Z_mb  : mb_size , Dim 만큼의 uniform 뽑기 \n",
    "    \"\"\"\n",
    "    mb_idx = sample_idx(Train_No, mb_size)\n",
    "    X_mb = trainX[mb_idx,:]  \n",
    "    Z_mb = sample_Z(mb_size, Dim) \n",
    "    \"\"\"\n",
    "    위에서 만든 RANDOM 으로 Uniform 으로 생성된 miss 율에 따른 사이에 있으면 1 아니면 0 \n",
    "    \"\"\"\n",
    "    M_mb = trainM[mb_idx,:]  \n",
    "    \"\"\"\n",
    "    위에서 만든 RANDOM 으로 Uniform 으로 생성된 miss 율에 따른 사이에 있으면 1 아니면 0 \n",
    "    \"\"\"\n",
    "    H_mb1 = sample_M(mb_size, Dim, 1-p_hint)\n",
    "    H_mb = M_mb * H_mb1\n",
    "    \n",
    "    New_X_mb = M_mb * X_mb + (1-M_mb) * Z_mb  # Missing Data Introduce\n",
    "    \n",
    "    _, D_loss_curr = sess.run([D_solver, D_loss1], feed_dict = {X: X_mb, M: M_mb, Z: New_X_mb, H: H_mb})\n",
    "    _, G_loss_curr, MSE_train_loss_curr, MSE_test_loss_curr = sess.run([G_solver, G_loss1, MSE_train_loss, MSE_test_loss],\n",
    "                                                                       feed_dict = {X: X_mb, M: M_mb, Z: New_X_mb, H: H_mb})\n",
    "    \n",
    "    \n",
    "    \n",
    "    output1 = pd.DataFrame({\"iter\" : [iteration] , \"train_loss\" : [MSE_train_loss_curr] , \"test_loss\" : [MSE_test_loss_curr] })\n",
    "    output  = output.append(output1)\n",
    "    iteration +=1 \n",
    "    if MSE_test_loss_curr < 0.08 : \n",
    "        saver.save(sess, './../Save_Model/GAIN' ,  global_step= iteration)\n",
    "    if (i+1) % 100 == 0 :\n",
    "        output3 = sess.run(G_sample , feed_dict = {X: X_mb, M: M_mb, Z: New_X_mb})\n",
    "        print(output3[0:10,0:10])\n",
    "        output2 = sess.run(G_sample , feed_dict = {X: Missing_Data , M: notmissing_matrix, Z : New_Missing})\n",
    "        print(output2[0:10,0:10])\n",
    "        clear_output(wait= True)\n",
    "        fig , ax = plt.subplots(figsize = (26,13))\n",
    "        fig.subplots_adjust(top = 0.95 , left = 0.03 , bottom = 0.04 , right = 0.99)\n",
    "        output = output[output.iter>0]\n",
    "        ax.plot(output.iter , output.train_loss , label =\"train_loss\" , linestyle =\"-\" , marker =\".\" , linewidth = 4, markersize = 12)\n",
    "        ax.plot(output.iter , output.test_loss , label =\"test_loss\" , linestyle =\"-\" , marker =\".\" , linewidth = 4, markersize = 12)\n",
    "        ax.set_title(\"Iter : {} , Train Loss : {} , Test Loss : {}\".format( iteration ,  MSE_train_loss_curr, MSE_test_loss_curr ), fontsize= 30)\n",
    "        ax.axhline(0.0, linewidth=4, color='r')\n",
    "        box = ax.get_position()\n",
    "        ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])\n",
    "        ax.legend(loc='upper center', bbox_to_anchor=(0.5, -0.05), fancybox=True, shadow=True, ncol=4 , fontsize= 20)    \n",
    "        plt.show()\n",
    "#     print('Iter: {}'.format(i))\n",
    "#     print('Train_loss: {:.4f}'.format(MSE_train_loss_curr))\n",
    "#     print('Test_loss: {:.4f}'.format(MSE_test_loss_curr))\n",
    "#     print()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Model Save\n",
    "* global_step 특정 step을 저장"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'./../Save_Model/GAIN'"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "saver = tf.train.Saver()\n",
    "saver.save(sess, './../Save_Model/GAIN')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Impute!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 145,
   "metadata": {},
   "outputs": [],
   "source": [
    "output2 = sess.run(G_sample , feed_dict = {X: Missing_Data , M: notmissing_matrix, Z : New_Missing})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "output2 = scaler.inverse_transform(output2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "Generate = missing_data.values *  notmissing_matrix + (1-notmissing_matrix)*output2 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_col = data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [],
   "source": [
    "Generate = pd.DataFrame(Generate)\n",
    "Generate.columns = data_col\n",
    "Generate[object_names.values.tolist()] = Generate[object_names.values.tolist()].round(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 158,
   "metadata": {},
   "outputs": [],
   "source": [
    "Concat = pd.concat([notna_data , Generate])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [],
   "source": [
    "ImputeData = Concat.replace(code_to_value)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Location</th>\n",
       "      <th>WindGustDir</th>\n",
       "      <th>WindDir9am</th>\n",
       "      <th>WindDir3pm</th>\n",
       "      <th>WindSpeed9am</th>\n",
       "      <th>WindSpeed3pm</th>\n",
       "      <th>Cloud9am</th>\n",
       "      <th>Cloud3pm</th>\n",
       "      <th>RainToday</th>\n",
       "      <th>RainTomorrow</th>\n",
       "      <th>...</th>\n",
       "      <th>Evaporation</th>\n",
       "      <th>Sunshine</th>\n",
       "      <th>WindGustSpeed</th>\n",
       "      <th>Humidity9am</th>\n",
       "      <th>Humidity3pm</th>\n",
       "      <th>Pressure9am</th>\n",
       "      <th>Pressure3pm</th>\n",
       "      <th>Temp9am</th>\n",
       "      <th>Temp3pm</th>\n",
       "      <th>RISK_MM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5939</th>\n",
       "      <td>Cobar</td>\n",
       "      <td>SSW</td>\n",
       "      <td>ENE</td>\n",
       "      <td>SW</td>\n",
       "      <td>6.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>12.0</td>\n",
       "      <td>12.3</td>\n",
       "      <td>48.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1006.299988</td>\n",
       "      <td>1004.400024</td>\n",
       "      <td>26.600000</td>\n",
       "      <td>33.400002</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5940</th>\n",
       "      <td>Cobar</td>\n",
       "      <td>S</td>\n",
       "      <td>SSE</td>\n",
       "      <td>SSE</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>14.8</td>\n",
       "      <td>13.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1012.900024</td>\n",
       "      <td>1012.099976</td>\n",
       "      <td>20.299999</td>\n",
       "      <td>27.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5942</th>\n",
       "      <td>Cobar</td>\n",
       "      <td>NNE</td>\n",
       "      <td>NNE</td>\n",
       "      <td>NNW</td>\n",
       "      <td>30.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>10.8</td>\n",
       "      <td>10.6</td>\n",
       "      <td>46.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1012.299988</td>\n",
       "      <td>1009.200012</td>\n",
       "      <td>28.700001</td>\n",
       "      <td>34.900002</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5943</th>\n",
       "      <td>Cobar</td>\n",
       "      <td>WNW</td>\n",
       "      <td>WNW</td>\n",
       "      <td>WSW</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>11.4</td>\n",
       "      <td>12.2</td>\n",
       "      <td>31.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>22.0</td>\n",
       "      <td>1012.700012</td>\n",
       "      <td>1009.099976</td>\n",
       "      <td>29.100000</td>\n",
       "      <td>35.599998</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5944</th>\n",
       "      <td>Cobar</td>\n",
       "      <td>WNW</td>\n",
       "      <td>NW</td>\n",
       "      <td>WNW</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>...</td>\n",
       "      <td>11.2</td>\n",
       "      <td>8.4</td>\n",
       "      <td>35.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>1010.700012</td>\n",
       "      <td>1007.400024</td>\n",
       "      <td>33.599998</td>\n",
       "      <td>37.599998</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Location WindGustDir WindDir9am WindDir3pm  WindSpeed9am  WindSpeed3pm  \\\n",
       "5939    Cobar         SSW        ENE         SW           6.0          20.0   \n",
       "5940    Cobar           S        SSE        SSE          19.0          19.0   \n",
       "5942    Cobar         NNE        NNE        NNW          30.0          15.0   \n",
       "5943    Cobar         WNW        WNW        WSW           6.0           6.0   \n",
       "5944    Cobar         WNW         NW        WNW          17.0          13.0   \n",
       "\n",
       "      Cloud9am  Cloud3pm RainToday RainTomorrow  ... Evaporation  Sunshine  \\\n",
       "5939       2.0       5.0        No           No  ...        12.0      12.3   \n",
       "5940       1.0       1.0        No           No  ...        14.8      13.0   \n",
       "5942       1.0       6.0        No           No  ...        10.8      10.6   \n",
       "5943       1.0       5.0        No           No  ...        11.4      12.2   \n",
       "5944       1.0       6.0        No           No  ...        11.2       8.4   \n",
       "\n",
       "      WindGustSpeed  Humidity9am  Humidity3pm  Pressure9am  Pressure3pm  \\\n",
       "5939           48.0         20.0         13.0  1006.299988  1004.400024   \n",
       "5940           37.0         30.0          8.0  1012.900024  1012.099976   \n",
       "5942           46.0         42.0         22.0  1012.299988  1009.200012   \n",
       "5943           31.0         37.0         22.0  1012.700012  1009.099976   \n",
       "5944           35.0         19.0         15.0  1010.700012  1007.400024   \n",
       "\n",
       "        Temp9am    Temp3pm  RISK_MM  \n",
       "5939  26.600000  33.400002      0.0  \n",
       "5940  20.299999  27.000000      0.0  \n",
       "5942  28.700001  34.900002      0.0  \n",
       "5943  29.100000  35.599998      0.0  \n",
       "5944  33.599998  37.599998      0.0  \n",
       "\n",
       "[5 rows x 24 columns]"
      ]
     },
     "execution_count": 160,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ImputeData.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f8c3c3ef9b0>"
      ]
     },
     "execution_count": 161,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1728x720 with 3 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "msno.bar(ImputeData)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3.6",
   "language": "python",
   "name": "py36"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}