{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "795cec63",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\"><ul class=\"toc-item\"></ul></div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "214b5561",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "088ea74a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpyxl\n",
    "days = openpyxl.load_workbook(\"D02EXAMPLE.xlsx\").sheetnames[:7]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "7d064fdb",
   "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>제품</th>\n",
       "      <th>지점</th>\n",
       "      <th>매출</th>\n",
       "      <th>날짜</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>강남점</td>\n",
       "      <td>1930000</td>\n",
       "      <td>2021-08-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>서초점</td>\n",
       "      <td>1350000</td>\n",
       "      <td>2021-08-30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>송파점</td>\n",
       "      <td>630000</td>\n",
       "      <td>2021-08-30</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>3397</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>일산점</td>\n",
       "      <td>1700000</td>\n",
       "      <td>2021-10-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3398</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>부평점</td>\n",
       "      <td>1230000</td>\n",
       "      <td>2021-10-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3399</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>부천 옥길점</td>\n",
       "      <td>540000</td>\n",
       "      <td>2021-10-11</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23800 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               제품      지점       매출          날짜\n",
       "0     종합어묵 (300g)     강남점  1930000  2021-08-30\n",
       "1     종합어묵 (300g)     서초점  1350000  2021-08-30\n",
       "2     종합어묵 (300g)     송파점   630000  2021-08-30\n",
       "...           ...     ...      ...         ...\n",
       "3397  멸치가루 (120g)     일산점  1700000  2021-10-11\n",
       "3398  멸치가루 (120g)     부평점  1230000  2021-10-11\n",
       "3399  멸치가루 (120g)  부천 옥길점   540000  2021-10-11\n",
       "\n",
       "[23800 rows x 4 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "udf = pd.DataFrame([])\n",
    "for i in days:\n",
    "    udf1 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=i).set_index(\"제품\")\n",
    "    udf1 = udf1.stack().reset_index()\n",
    "    udf1.columns = [\"제품\", \"지점\", \"매출\"]\n",
    "    udf1[\"날짜\"] = i\n",
    "    udf = pd.concat([udf,udf1])\n",
    "udf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "48471fb8",
   "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>제품</th>\n",
       "      <th>지점</th>\n",
       "      <th>매출</th>\n",
       "      <th>...</th>\n",
       "      <th>지역</th>\n",
       "      <th>분류</th>\n",
       "      <th>구분</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>강남점</td>\n",
       "      <td>1930000</td>\n",
       "      <td>...</td>\n",
       "      <td>서울</td>\n",
       "      <td>직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>서초점</td>\n",
       "      <td>1350000</td>\n",
       "      <td>...</td>\n",
       "      <td>서울</td>\n",
       "      <td>직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>종합어묵 (300g)</td>\n",
       "      <td>송파점</td>\n",
       "      <td>630000</td>\n",
       "      <td>...</td>\n",
       "      <td>서울</td>\n",
       "      <td>비직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23797</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>일산점</td>\n",
       "      <td>1700000</td>\n",
       "      <td>...</td>\n",
       "      <td>경기</td>\n",
       "      <td>직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23798</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>부평점</td>\n",
       "      <td>1230000</td>\n",
       "      <td>...</td>\n",
       "      <td>인천</td>\n",
       "      <td>비직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23799</th>\n",
       "      <td>멸치가루 (120g)</td>\n",
       "      <td>부천 옥길점</td>\n",
       "      <td>540000</td>\n",
       "      <td>...</td>\n",
       "      <td>경기</td>\n",
       "      <td>직영점</td>\n",
       "      <td>기타</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>23800 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                제품      지점       매출  ...  지역    분류  구분\n",
       "0      종합어묵 (300g)     강남점  1930000  ...  서울   직영점  기타\n",
       "1      종합어묵 (300g)     서초점  1350000  ...  서울   직영점  기타\n",
       "2      종합어묵 (300g)     송파점   630000  ...  서울  비직영점  기타\n",
       "...            ...     ...      ...  ...  ..   ...  ..\n",
       "23797  멸치가루 (120g)     일산점  1700000  ...  경기   직영점  기타\n",
       "23798  멸치가루 (120g)     부평점  1230000  ...  인천  비직영점  기타\n",
       "23799  멸치가루 (120g)  부천 옥길점   540000  ...  경기   직영점  기타\n",
       "\n",
       "[23800 rows x 7 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=\"지점구분\")\n",
    "df2 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=\"제품구분\")\n",
    "pdf1 = udf.merge(df1, how=\"left\").merge(df2, how=\"left\")\n",
    "pdf1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "52a20532",
   "metadata": {},
   "outputs": [],
   "source": [
    "pdf1.pivot_table(\"매출\", index=\"날짜\", columns=\"지역\", aggfunc=\"sum\").to_clipboard()\n",
    "pdf1.pivot_table(\"매출\", index=\"지역\", columns=\"구분\", aggfunc=\"sum\").to_clipboard()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "558164eb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import openpyxl\n",
    "days = openpyxl.load_workbook(\"D02EXAMPLE.xlsx\").sheetnames[:7]\n",
    "udf = pd.DataFrame([])\n",
    "for i in days:\n",
    "    udf1 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=i).set_index(\"제품\")  \n",
    "    udf1 = udfi.stack().reset_index()\n",
    "    udf1.columns=[\"제품\", \"지점\",\"매출\"]\n",
    "    udf1[\"날짜\"] = i\n",
    "    udf = pd.concat([udf,udf1])\n",
    "df1 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=\"지점구분\")\n",
    "df2 = pd.read_excel(\"D02EXAMPLE.xlsx\", sheet_name=\"제품구분\")\n",
    "pdf1 = udf.merge(df1, how=\"left\").merge(df2, how=\"left\")\n",
    "pdf1.pivot_table(\"매출\", index=\"날짜\", columns=\"지역\", aggfunc=\"sum\").to_clipboard()\n",
    "pdf1.pivot_table(\"매출\", columns=\"구분\", index=\"지역\", aggfunc=\"sum\").to_clipboard()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.8"
  },
  "toc": {
   "base_numbering": 1,
   "nav_menu": {},
   "number_sections": true,
   "sideBar": false,
   "skip_h1_title": false,
   "title_cell": "Table of Contents",
   "title_sidebar": "Contents",
   "toc_cell": true,
   "toc_position": {
    "height": "288.5px",
    "left": "739.195px",
    "top": "468px",
    "width": "190.297px"
   },
   "toc_section_display": true,
   "toc_window_display": true
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}