kosis-consumer-price-index.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 소비자물가지수 consumer price index\n",
    "\n",
    "비교시점의 물가지수는 기준시점을 100으로 할 때 비교시점 물가의 높고 낮은 정도를 나타냅니다.\n",
    "이때, 지수를 100으로 보는 해를 지수기준연도라고 합니다.\n",
    "따라서 물가지수의 숫자 그 자체는 의미가 없으며, 지수기준연도에 따라 변경될 수 있습니다.\n",
    "\n",
    "현재 지수기준연도는 2015년이며, 5년마다 지수개편을 통하여 변경되고 있습니다.\n",
    "\n",
    "출처 : [물가지수|소비자물가지수](http://kostat.go.kr/incomeNcpi/cpi/cpi_td/1/2/index.static)\n",
    "\n",
    "\n",
    "* 소비자 물가지수(消費者 物價指數, Consumer Price Index, CPI)는 가정이 소비하기 위해 구입하는 재화와 용역의 평균 가격을 측정한 지수다. 국가의 통계 기관에서 계산한 물가지수(price index)의 일종이다. 소비자물가지수의 변동률로 인플레이션을 측정할 수 있다. 소비자물가지수를 이용해 급여(wage), 봉급(salary), 연금, 물가를 연동시켜 인플레이션의 영향을 조정할 수 있다. 소비자물가지수는 인구 조사, 등과 함께 국가의 기본적인 경제 통계이다.\n",
    "\n",
    "* 이론적으로는 생계비 지수와 동일하게 간주된다. 소비자가 구입하는 소비재나 용역 등 일정 범위의 세대의 소비생활에서 나타나는 물가 수준의 변동을 측정하기 위하여 쓰이는 물가지수이다.\n",
    "\n",
    "* 데이터 출처 : http://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=INH_1J17112&vw_cd=MT_GTITLE01&list_id=105&seqNo=&lang_mode=ko&language=kor&obj_var_id=&itm_id=&conn_path=MT_GTITLE01\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "raw = pd.read_csv(\"data/consumer_price_index.csv\", encoding=\"cp949\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = raw.melt(id_vars=\"시도별\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['전국'], dtype=object)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[\"시도별\"].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "del df[\"시도별\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>기간</th>\n",
       "      <th>소비자물가지수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1965. 01</td>\n",
       "      <td>2.628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1965. 02</td>\n",
       "      <td>2.686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1965. 03</td>\n",
       "      <td>2.691</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1965. 04</td>\n",
       "      <td>2.733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1965. 05</td>\n",
       "      <td>2.788</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         기간  소비자물가지수\n",
       "0  1965. 01    2.628\n",
       "1  1965. 02    2.686\n",
       "2  1965. 03    2.691\n",
       "3  1965. 04    2.733\n",
       "4  1965. 05    2.788"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns = [\"기간\", \"소비자물가지수\"]\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"연\"] = df[\"기간\"].str.split(\". \", expand=True)[0]\n",
    "df[\"월\"] = df[\"기간\"].str.split(\". \", expand=True)[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>기간</th>\n",
       "      <th>소비자물가지수</th>\n",
       "      <th>연</th>\n",
       "      <th>월</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1965. 01</td>\n",
       "      <td>2.628</td>\n",
       "      <td>1965</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1965. 02</td>\n",
       "      <td>2.686</td>\n",
       "      <td>1965</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1965. 03</td>\n",
       "      <td>2.691</td>\n",
       "      <td>1965</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1965. 04</td>\n",
       "      <td>2.733</td>\n",
       "      <td>1965</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1965. 05</td>\n",
       "      <td>2.788</td>\n",
       "      <td>1965</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>2020. 02</td>\n",
       "      <td>105.800</td>\n",
       "      <td>2020</td>\n",
       "      <td>02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>2020. 03</td>\n",
       "      <td>105.540</td>\n",
       "      <td>2020</td>\n",
       "      <td>03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>2020. 04</td>\n",
       "      <td>104.950</td>\n",
       "      <td>2020</td>\n",
       "      <td>04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>2020. 05</td>\n",
       "      <td>104.710</td>\n",
       "      <td>2020</td>\n",
       "      <td>05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>2020. 06</td>\n",
       "      <td>104.870</td>\n",
       "      <td>2020</td>\n",
       "      <td>06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>666 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           기간  소비자물가지수     연   월\n",
       "0    1965. 01    2.628  1965  01\n",
       "1    1965. 02    2.686  1965  02\n",
       "2    1965. 03    2.691  1965  03\n",
       "3    1965. 04    2.733  1965  04\n",
       "4    1965. 05    2.788  1965  05\n",
       "..        ...      ...   ...  ..\n",
       "661  2020. 02  105.800  2020  02\n",
       "662  2020. 03  105.540  2020  03\n",
       "663  2020. 04  104.950  2020  04\n",
       "664  2020. 05  104.710  2020  05\n",
       "665  2020. 06  104.870  2020  06\n",
       "\n",
       "[666 rows x 4 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "sns.set(font=\"AppleGothic\", rc={\"axes.unicode_minus\": False})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f806635dd10>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "plt.xticks(rotation=90)\n",
    "sns.lineplot(data=df, x=\"연\", y=\"소비자물가지수\", ci=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f80664e09d0>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "plt.xticks(rotation=60)\n",
    "sns.pointplot(data=df[-60:], x=\"기간\", y=\"소비자물가지수\", ci=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f80664e03d0>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1080x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(15, 4))\n",
    "sns.pointplot(data=df[-66:], x=\"월\", y=\"소비자물가지수\", hue=\"연\", ci=None)\n",
    "plt.legend(loc=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "            background-color:  #dddbec;\n",
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       "            background-color:  #d5d5e8;\n",
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       "            background-color:  #cccfe5;\n",
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       "            background-color:  #fff7fb;\n",
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       "            background-color:  #023858;\n",
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       "            background-color:  #2f8bbe;\n",
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       "            background-color:  #81aed2;\n",
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       "            background-color:  #3f93c2;\n",
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       "            background-color:  #045788;\n",
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       "            background-color:  #023858;\n",
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       "            background-color:  #023858;\n",
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       "            background-color:  #0569a5;\n",
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       "            background-color:  #3f93c2;\n",
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       "            background-color:  #034e7b;\n",
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       "            background-color:  #b9c6e0;\n",
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       "            background-color:  #04598c;\n",
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       "            background-color:  #fef6fa;\n",
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       "            background-color:  #fff7fb;\n",
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       "            background-color:  #056caa;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #034165;\n",
       "            color:  #f1f1f1;\n",
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       "            background-color:  #8fb4d6;\n",
       "            color:  #000000;\n",
       "        }    #T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col3 {\n",
       "            background-color:  #96b6d7;\n",
       "            color:  #000000;\n",
       "        }    #T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col4 {\n",
       "            background-color:  #1077b4;\n",
       "            color:  #f1f1f1;\n",
       "        }    #T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col5 {\n",
       "            background-color:  #fff7fb;\n",
       "            color:  #000000;\n",
       "        }</style><table id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177f\" ><thead>    <tr>        <th class=\"index_name level0\" >연</th>        <th class=\"col_heading level0 col0\" >2015</th>        <th class=\"col_heading level0 col1\" >2016</th>        <th class=\"col_heading level0 col2\" >2017</th>        <th class=\"col_heading level0 col3\" >2018</th>        <th class=\"col_heading level0 col4\" >2019</th>        <th class=\"col_heading level0 col5\" >2020</th>    </tr>    <tr>        <th class=\"index_name level0\" >월</th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>        <th class=\"blank\" ></th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row0\" class=\"row_heading level0 row0\" >01</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col0\" class=\"data row0 col0\" >99.770000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col1\" class=\"data row0 col1\" >100.390000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col2\" class=\"data row0 col2\" >102.640000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col3\" class=\"data row0 col3\" >103.420000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col4\" class=\"data row0 col4\" >104.240000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow0_col5\" class=\"data row0 col5\" >105.790000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row1\" class=\"row_heading level0 row1\" >02</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col0\" class=\"data row1 col0\" >99.710000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col1\" class=\"data row1 col1\" >100.820000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col2\" class=\"data row1 col2\" >102.920000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col3\" class=\"data row1 col3\" >104.210000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col4\" class=\"data row1 col4\" >104.690000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow1_col5\" class=\"data row1 col5\" >105.800000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row2\" class=\"row_heading level0 row2\" >03</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col0\" class=\"data row2 col0\" >99.720000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col1\" class=\"data row2 col1\" >100.560000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col2\" class=\"data row2 col2\" >102.850000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col3\" class=\"data row2 col3\" >104.100000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col4\" class=\"data row2 col4\" >104.490000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow2_col5\" class=\"data row2 col5\" >105.540000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row3\" class=\"row_heading level0 row3\" >04</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col0\" class=\"data row3 col0\" >99.750000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col1\" class=\"data row3 col1\" >100.750000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col2\" class=\"data row3 col2\" >102.720000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col3\" class=\"data row3 col3\" >104.290000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col4\" class=\"data row3 col4\" >104.870000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow3_col5\" class=\"data row3 col5\" >104.950000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row4\" class=\"row_heading level0 row4\" >05</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col0\" class=\"data row4 col0\" >100.030000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col1\" class=\"data row4 col1\" >100.810000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col2\" class=\"data row4 col2\" >102.830000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col3\" class=\"data row4 col3\" >104.340000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col4\" class=\"data row4 col4\" >105.050000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow4_col5\" class=\"data row4 col5\" >104.710000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row5\" class=\"row_heading level0 row5\" >06</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col0\" class=\"data row5 col0\" >100.050000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col1\" class=\"data row5 col1\" >100.790000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col2\" class=\"data row5 col2\" >102.610000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col3\" class=\"data row5 col3\" >104.130000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col4\" class=\"data row5 col4\" >104.880000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow5_col5\" class=\"data row5 col5\" >104.870000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row6\" class=\"row_heading level0 row6\" >07</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col0\" class=\"data row6 col0\" >100.230000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col1\" class=\"data row6 col1\" >100.600000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col2\" class=\"data row6 col2\" >102.780000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col3\" class=\"data row6 col3\" >103.930000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col4\" class=\"data row6 col4\" >104.560000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow6_col5\" class=\"data row6 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row7\" class=\"row_heading level0 row7\" >08</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col0\" class=\"data row7 col0\" >100.370000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col1\" class=\"data row7 col1\" >100.860000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col2\" class=\"data row7 col2\" >103.370000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col3\" class=\"data row7 col3\" >104.850000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col4\" class=\"data row7 col4\" >104.810000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow7_col5\" class=\"data row7 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row8\" class=\"row_heading level0 row8\" >09</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col0\" class=\"data row8 col0\" >100.110000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col1\" class=\"data row8 col1\" >101.460000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col2\" class=\"data row8 col2\" >103.490000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col3\" class=\"data row8 col3\" >105.650000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col4\" class=\"data row8 col4\" >105.200000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow8_col5\" class=\"data row8 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row9\" class=\"row_heading level0 row9\" >10</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col0\" class=\"data row9 col0\" >100.110000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col1\" class=\"data row9 col1\" >101.600000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col2\" class=\"data row9 col2\" >103.390000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col3\" class=\"data row9 col3\" >105.460000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col4\" class=\"data row9 col4\" >105.460000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow9_col5\" class=\"data row9 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row10\" class=\"row_heading level0 row10\" >11</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col0\" class=\"data row10 col0\" >99.920000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col1\" class=\"data row10 col1\" >101.450000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col2\" class=\"data row10 col2\" >102.620000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col3\" class=\"data row10 col3\" >104.710000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col4\" class=\"data row10 col4\" >104.870000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow10_col5\" class=\"data row10 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177flevel0_row11\" class=\"row_heading level0 row11\" >12</th>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col0\" class=\"data row11 col0\" >100.220000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col1\" class=\"data row11 col1\" >101.560000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col2\" class=\"data row11 col2\" >102.990000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col3\" class=\"data row11 col3\" >104.350000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col4\" class=\"data row11 col4\" >105.120000</td>\n",
       "                        <td id=\"T_5f736cc4_c5c7_11ea_9167_acbc3281177frow11_col5\" class=\"data row11 col5\" >0.000000</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f80668bde50>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cpi = df[-66:].groupby([\"월\", \"연\"])[\"소비자물가지수\"].mean().unstack().fillna(0)\n",
    "cpi.style.background_gradient()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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