ExcelCreation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "e545860e-e28c-4ccb-a08c-8a4aed966c26",
   "metadata": {},
   "source": [
    "### Criação de ficheiro Excel a partir de SQL Server com possibilidade de edição\n",
    "#### Jorge Gomes, 2023-12-17"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "82dbcc3b-a228-4967-8a65-c635460302b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
    "warnings.simplefilter(action='ignore', category=UserWarning)\n",
    "\n",
    "import pandas as pd \n",
    "import pyodbc\n",
    "import sys\n",
    "from datetime import datetime, timedelta\n",
    "\n",
    "server = '10.20.30.40'\n",
    "database = 'DBteste'\n",
    "uid = 'xxx'\n",
    "pwd = 'yyy'\n",
    "\n",
    "conn = pyodbc.connect(f'Driver={{SQL Server}};Server={server};Database={database};UID={uid};PWD={pwd}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2fae63d6-5e6e-4935-a753-cf4a325557cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "input_query = \"\"\"\n",
    "    select * from [dbo].[ExcelCreation]\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b083e311-dfa5-4404-b26b-a7ee58b82db8",
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       "<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>id</th>\n",
       "      <th>ZONA</th>\n",
       "      <th>NLOJA</th>\n",
       "      <th>NOMELOJA</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>TAXAIVA</th>\n",
       "      <th>VALORBASE</th>\n",
       "      <th>IVA</th>\n",
       "      <th>VALORFINAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
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       "      <td>ALVRE</td>\n",
       "      <td>2023-12-17</td>\n",
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       "      <td>-11.28</td>\n",
       "      <td>-65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
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       "      <td>ALVRE</td>\n",
       "      <td>2023-12-17</td>\n",
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       "      <td>-8.68</td>\n",
       "      <td>-50.0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
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       "      <td>ALVRE</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
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       "      <td>AGUIAR</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>-55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>57.85</td>\n",
       "      <td>12.15</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-20.88</td>\n",
       "      <td>-120.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-7.81</td>\n",
       "      <td>-45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>-60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>-140.50</td>\n",
       "      <td>-29.50</td>\n",
       "      <td>-170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>49.84</td>\n",
       "      <td>10.46</td>\n",
       "      <td>60.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>45.70</td>\n",
       "      <td>9.60</td>\n",
       "      <td>55.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>2023-12-17</td>\n",
       "      <td>21%</td>\n",
       "      <td>19.84</td>\n",
       "      <td>4.16</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id     ZONA  NLOJA  NOMELOJA       FECHA TAXAIVA  VALORBASE    IVA  \\\n",
       "0   19  PAREDES      1     ALVRE  2023-12-17     21%     -99.17 -20.83   \n",
       "1   19  PAREDES      1     ALVRE  2023-12-17     21%     -53.72 -11.28   \n",
       "2   19  PAREDES      1     ALVRE  2023-12-17     21%     -41.32  -8.68   \n",
       "3   19  PAREDES      1     ALVRE  2023-12-17     21%     -99.17 -20.83   \n",
       "4   19  PAREDES      2    AGUIAR  2023-12-17     21%     -66.12 -13.88   \n",
       "5   19  PAREDES      2    AGUIAR  2023-12-17     21%     -99.18 -20.82   \n",
       "6   19  PAREDES      2    AGUIAR  2023-12-17     21%     -45.45  -9.55   \n",
       "7   19  PAREDES      2    AGUIAR  2023-12-17     21%      57.85  12.15   \n",
       "8   19  PAREDES      3   RECAREI  2023-12-17     21%     -99.42 -20.88   \n",
       "9   19  PAREDES      3   RECAREI  2023-12-17     21%     -37.19  -7.81   \n",
       "10  19  PAREDES      3   RECAREI  2023-12-17     21%     -10.74  -2.26   \n",
       "11  19  PAREDES      3   RECAREI  2023-12-17     21%     -49.59 -10.41   \n",
       "12  19  PAREDES      4  SOBREIRA  2023-12-17     21%    -140.50 -29.50   \n",
       "13  19  PAREDES      4  SOBREIRA  2023-12-17     21%      49.84  10.46   \n",
       "14  19  PAREDES      4  SOBREIRA  2023-12-17     21%      45.70   9.60   \n",
       "15  19  PAREDES      4  SOBREIRA  2023-12-17     21%      19.84   4.16   \n",
       "\n",
       "    VALORFINAL  \n",
       "0       -120.0  \n",
       "1        -65.0  \n",
       "2        -50.0  \n",
       "3       -120.0  \n",
       "4        -80.0  \n",
       "5       -120.0  \n",
       "6        -55.0  \n",
       "7         70.0  \n",
       "8       -120.3  \n",
       "9        -45.0  \n",
       "10       -13.0  \n",
       "11       -60.0  \n",
       "12      -170.0  \n",
       "13        60.3  \n",
       "14        55.3  \n",
       "15        24.0  "
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "input_query_df = pd.read_sql_query(input_query,conn)\n",
    "input_query_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "cd72df18-f438-474f-a892-94cb601bde2b",
   "metadata": {},
   "outputs": [
    {
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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>ZONA</th>\n",
       "      <th>NLOJA</th>\n",
       "      <th>NOMELOJA</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>TAXAIVA</th>\n",
       "      <th>VALORBASE</th>\n",
       "      <th>IVA</th>\n",
       "      <th>VALORFINAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-53.72</td>\n",
       "      <td>-11.28</td>\n",
       "      <td>-65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-41.32</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>-55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>57.85</td>\n",
       "      <td>12.15</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-20.88</td>\n",
       "      <td>-120.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-7.81</td>\n",
       "      <td>-45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>-60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-140.50</td>\n",
       "      <td>-29.50</td>\n",
       "      <td>-170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>49.84</td>\n",
       "      <td>10.46</td>\n",
       "      <td>60.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>45.70</td>\n",
       "      <td>9.60</td>\n",
       "      <td>55.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>19.84</td>\n",
       "      <td>4.16</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id     ZONA  NLOJA  NOMELOJA       FECHA TAXAIVA  VALORBASE    IVA  \\\n",
       "0   19  PAREDES      1     ALVRE  17/12/2023     21%     -99.17 -20.83   \n",
       "1   19  PAREDES      1     ALVRE  17/12/2023     21%     -53.72 -11.28   \n",
       "2   19  PAREDES      1     ALVRE  17/12/2023     21%     -41.32  -8.68   \n",
       "3   19  PAREDES      1     ALVRE  17/12/2023     21%     -99.17 -20.83   \n",
       "4   19  PAREDES      2    AGUIAR  17/12/2023     21%     -66.12 -13.88   \n",
       "5   19  PAREDES      2    AGUIAR  17/12/2023     21%     -99.18 -20.82   \n",
       "6   19  PAREDES      2    AGUIAR  17/12/2023     21%     -45.45  -9.55   \n",
       "7   19  PAREDES      2    AGUIAR  17/12/2023     21%      57.85  12.15   \n",
       "8   19  PAREDES      3   RECAREI  17/12/2023     21%     -99.42 -20.88   \n",
       "9   19  PAREDES      3   RECAREI  17/12/2023     21%     -37.19  -7.81   \n",
       "10  19  PAREDES      3   RECAREI  17/12/2023     21%     -10.74  -2.26   \n",
       "11  19  PAREDES      3   RECAREI  17/12/2023     21%     -49.59 -10.41   \n",
       "12  19  PAREDES      4  SOBREIRA  17/12/2023     21%    -140.50 -29.50   \n",
       "13  19  PAREDES      4  SOBREIRA  17/12/2023     21%      49.84  10.46   \n",
       "14  19  PAREDES      4  SOBREIRA  17/12/2023     21%      45.70   9.60   \n",
       "15  19  PAREDES      4  SOBREIRA  17/12/2023     21%      19.84   4.16   \n",
       "\n",
       "    VALORFINAL  \n",
       "0       -120.0  \n",
       "1        -65.0  \n",
       "2        -50.0  \n",
       "3       -120.0  \n",
       "4        -80.0  \n",
       "5       -120.0  \n",
       "6        -55.0  \n",
       "7         70.0  \n",
       "8       -120.3  \n",
       "9        -45.0  \n",
       "10       -13.0  \n",
       "11       -60.0  \n",
       "12      -170.0  \n",
       "13        60.3  \n",
       "14        55.3  \n",
       "15        24.0  "
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Transformações ao Dataset. Como exemplo: alterar formato da data de yyyy-mm-dd para dd/mm/yyyy\n",
    "input_query_df[\"FECHA\"] = pd.to_datetime(input_query_df[\"FECHA\"])\n",
    "input_query_df[\"FECHA\"] = input_query_df[\"FECHA\"].dt.strftime(\"%d/%m/%Y\")\n",
    "input_query_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "517bd262-07f7-4544-b49b-a682e368e800",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C:\\\\FICHEIROS\\\\CriacaoExcel_2023_12_17'"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# data de hoje menos um dia\n",
    "data_ontem = datetime.today().date() - timedelta(days=1)\n",
    "ano = data_ontem.year\n",
    "mes = data_ontem.month\n",
    "dia = data_ontem.day\n",
    "\n",
    "# Caminho e Nome do arquivo excel - manter sempre 2 digitos no dia e mes, colocando o zero à esquerda\n",
    "nome = f'C:\\\\FICHEIROS\\\\CriacaoExcel_{ano}_{mes:02d}_{dia:02d}'\n",
    "nome"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f8235df-97a7-46eb-a7d6-a72e67a9ff97",
   "metadata": {},
   "source": [
    "### Criação de ficheiro Excel v1 com utilização da função \"to_excel\", o cabeçalho fica com borders"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "d3d5af71-9d26-4d7b-aeb4-959d6c2a14f3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#output directo para excel\n",
    "#primeira linha com o nome das colunas tem borders\n",
    "input_query_df.to_excel(nome + '_v1.xlsx', index=False, startrow=1)"
   ]
  },
  {
   "attachments": {
    "2e6d85f4-9623-410c-8118-b45185bbdd9c.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "1154b778-fe63-4ecc-82d5-6a2b0fdd7e77",
   "metadata": {},
   "source": [
    "![image.png](attachment:2e6d85f4-9623-410c-8118-b45185bbdd9c.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "83546dda-7a0e-4343-9a8f-f8b90aa2a08d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "d9fd2b44-a188-43eb-bf92-dee2ec780040",
   "metadata": {},
   "source": [
    "### Criação de ficheiro Excel v2 com possibilidade de edição com utilização da classe \"ExcelWriter\". O cabeçalho fica sem borders com utilização da Transposta"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "324cf967-e18e-4999-8204-4c0e897d4b22",
   "metadata": {},
   "outputs": [],
   "source": [
    "writer = pd.ExcelWriter( nome + '_v2.xlsx', engine='xlsxwriter')\n",
    "\n",
    "#retirar borders dos cabeçalhos - usar a partir da segunda linha\n",
    "input_query_df.T.reset_index().T.to_excel(writer, sheet_name='Sheet1', header=False, index=False, startrow=1)\n",
    "\n",
    "#para usar na escrita da data no fim dos dados\n",
    "(max_row, max_col) = input_query_df.shape\n",
    "\n",
    "worksheet = writer.sheets['Sheet1']\n",
    "\n",
    "#primeira linha do ficheiro\n",
    "worksheet.write(0, 0, \"Resumo de vendas nas lojas de Paredes\")\n",
    "\n",
    "#ultimas linha do ficheiro\n",
    "worksheet.write(max_row + 3, 0, pd.datetime.now().strftime(\"%d/%m/%Y %H:%M:%S\"))\n",
    "worksheet.write(max_row + 3, 2, 'RES_VEN_MERCADO_PAREDES')\n",
    "worksheet.write(max_row + 4, 0, 'PK Version 1.2.1234')\n",
    "\n",
    "writer.close()"
   ]
  },
  {
   "attachments": {
    "6c974684-24a1-4a87-bb09-f08a1ef376d3.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "795352d0-2e4b-4eca-a5fc-6d7aefc66b77",
   "metadata": {},
   "source": [
    "![image.png](attachment:6c974684-24a1-4a87-bb09-f08a1ef376d3.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "caccaf0d-43f3-4ee7-a238-a3115d73eb98",
   "metadata": {},
   "source": [
    "### Clarificação\n",
    "#### Utilização da Transposta para eliminar os borders do cabeçalho - na realidade, deixa de se utilizar o cabeçalho"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "ef117ad7-31ff-4f92-a6ac-135bfe2d21f3",
   "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>id</th>\n",
       "      <th>ZONA</th>\n",
       "      <th>NLOJA</th>\n",
       "      <th>NOMELOJA</th>\n",
       "      <th>FECHA</th>\n",
       "      <th>TAXAIVA</th>\n",
       "      <th>VALORBASE</th>\n",
       "      <th>IVA</th>\n",
       "      <th>VALORFINAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-53.72</td>\n",
       "      <td>-11.28</td>\n",
       "      <td>-65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-41.32</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>-55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>57.85</td>\n",
       "      <td>12.15</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-20.88</td>\n",
       "      <td>-120.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-7.81</td>\n",
       "      <td>-45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>-60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-140.50</td>\n",
       "      <td>-29.50</td>\n",
       "      <td>-170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>49.84</td>\n",
       "      <td>10.46</td>\n",
       "      <td>60.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>45.70</td>\n",
       "      <td>9.60</td>\n",
       "      <td>55.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>19.84</td>\n",
       "      <td>4.16</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id     ZONA  NLOJA  NOMELOJA       FECHA TAXAIVA  VALORBASE    IVA  \\\n",
       "0   19  PAREDES      1     ALVRE  17/12/2023     21%     -99.17 -20.83   \n",
       "1   19  PAREDES      1     ALVRE  17/12/2023     21%     -53.72 -11.28   \n",
       "2   19  PAREDES      1     ALVRE  17/12/2023     21%     -41.32  -8.68   \n",
       "3   19  PAREDES      1     ALVRE  17/12/2023     21%     -99.17 -20.83   \n",
       "4   19  PAREDES      2    AGUIAR  17/12/2023     21%     -66.12 -13.88   \n",
       "5   19  PAREDES      2    AGUIAR  17/12/2023     21%     -99.18 -20.82   \n",
       "6   19  PAREDES      2    AGUIAR  17/12/2023     21%     -45.45  -9.55   \n",
       "7   19  PAREDES      2    AGUIAR  17/12/2023     21%      57.85  12.15   \n",
       "8   19  PAREDES      3   RECAREI  17/12/2023     21%     -99.42 -20.88   \n",
       "9   19  PAREDES      3   RECAREI  17/12/2023     21%     -37.19  -7.81   \n",
       "10  19  PAREDES      3   RECAREI  17/12/2023     21%     -10.74  -2.26   \n",
       "11  19  PAREDES      3   RECAREI  17/12/2023     21%     -49.59 -10.41   \n",
       "12  19  PAREDES      4  SOBREIRA  17/12/2023     21%    -140.50 -29.50   \n",
       "13  19  PAREDES      4  SOBREIRA  17/12/2023     21%      49.84  10.46   \n",
       "14  19  PAREDES      4  SOBREIRA  17/12/2023     21%      45.70   9.60   \n",
       "15  19  PAREDES      4  SOBREIRA  17/12/2023     21%      19.84   4.16   \n",
       "\n",
       "    VALORFINAL  \n",
       "0       -120.0  \n",
       "1        -65.0  \n",
       "2        -50.0  \n",
       "3       -120.0  \n",
       "4        -80.0  \n",
       "5       -120.0  \n",
       "6        -55.0  \n",
       "7         70.0  \n",
       "8       -120.3  \n",
       "9        -45.0  \n",
       "10       -13.0  \n",
       "11       -60.0  \n",
       "12      -170.0  \n",
       "13        60.3  \n",
       "14        55.3  \n",
       "15        24.0  "
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Dataframe inicial\n",
    "input_query_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "1b1816cc-a245-4acd-a6b2-425d8e9920e9",
   "metadata": {},
   "outputs": [
    {
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       "      <td>PAREDES</td>\n",
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       "      <td>PAREDES</td>\n",
       "      <td>PAREDES</td>\n",
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       "      <td>RECAREI</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FECHA</th>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TAXAIVA</th>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VALORBASE</th>\n",
       "      <td>-99.17</td>\n",
       "      <td>-53.72</td>\n",
       "      <td>-41.32</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>57.85</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-140.5</td>\n",
       "      <td>49.84</td>\n",
       "      <td>45.7</td>\n",
       "      <td>19.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>IVA</th>\n",
       "      <td>-20.83</td>\n",
       "      <td>-11.28</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>12.15</td>\n",
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       "      <td>-10.41</td>\n",
       "      <td>-29.5</td>\n",
       "      <td>10.46</td>\n",
       "      <td>9.6</td>\n",
       "      <td>4.16</td>\n",
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       "    <tr>\n",
       "      <th>VALORFINAL</th>\n",
       "      <td>-120.0</td>\n",
       "      <td>-65.0</td>\n",
       "      <td>-50.0</td>\n",
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      ],
      "text/plain": [
       "                    0           1           2           3           4   \\\n",
       "id                  19          19          19          19          19   \n",
       "ZONA           PAREDES     PAREDES     PAREDES     PAREDES     PAREDES   \n",
       "NLOJA                1           1           1           1           2   \n",
       "NOMELOJA         ALVRE       ALVRE       ALVRE       ALVRE      AGUIAR   \n",
       "FECHA       17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023   \n",
       "TAXAIVA            21%         21%         21%         21%         21%   \n",
       "VALORBASE       -99.17      -53.72      -41.32      -99.17      -66.12   \n",
       "IVA             -20.83      -11.28       -8.68      -20.83      -13.88   \n",
       "VALORFINAL      -120.0       -65.0       -50.0      -120.0       -80.0   \n",
       "\n",
       "                    5           6           7           8           9   \\\n",
       "id                  19          19          19          19          19   \n",
       "ZONA           PAREDES     PAREDES     PAREDES     PAREDES     PAREDES   \n",
       "NLOJA                2           2           2           3           3   \n",
       "NOMELOJA        AGUIAR      AGUIAR      AGUIAR     RECAREI     RECAREI   \n",
       "FECHA       17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023   \n",
       "TAXAIVA            21%         21%         21%         21%         21%   \n",
       "VALORBASE       -99.18      -45.45       57.85      -99.42      -37.19   \n",
       "IVA             -20.82       -9.55       12.15      -20.88       -7.81   \n",
       "VALORFINAL      -120.0       -55.0        70.0      -120.3       -45.0   \n",
       "\n",
       "                    10          11          12          13          14  \\\n",
       "id                  19          19          19          19          19   \n",
       "ZONA           PAREDES     PAREDES     PAREDES     PAREDES     PAREDES   \n",
       "NLOJA                3           3           4           4           4   \n",
       "NOMELOJA       RECAREI     RECAREI    SOBREIRA    SOBREIRA    SOBREIRA   \n",
       "FECHA       17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023   \n",
       "TAXAIVA            21%         21%         21%         21%         21%   \n",
       "VALORBASE       -10.74      -49.59      -140.5       49.84        45.7   \n",
       "IVA              -2.26      -10.41       -29.5       10.46         9.6   \n",
       "VALORFINAL       -13.0       -60.0      -170.0        60.3        55.3   \n",
       "\n",
       "                    15  \n",
       "id                  19  \n",
       "ZONA           PAREDES  \n",
       "NLOJA                4  \n",
       "NOMELOJA      SOBREIRA  \n",
       "FECHA       17/12/2023  \n",
       "TAXAIVA            21%  \n",
       "VALORBASE        19.84  \n",
       "IVA               4.16  \n",
       "VALORFINAL        24.0  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Transposta\n",
    "input_query_df.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "8b1d91fc-ea86-4b13-ae72-f18b404b6586",
   "metadata": {},
   "outputs": [
    {
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       "      <td>AGUIAR</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>SOBREIRA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FECHA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>17/12/2023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>TAXAIVA</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "      <td>21%</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>VALORBASE</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-53.72</td>\n",
       "      <td>-41.32</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>57.85</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-140.5</td>\n",
       "      <td>49.84</td>\n",
       "      <td>45.7</td>\n",
       "      <td>19.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>IVA</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-11.28</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>12.15</td>\n",
       "      <td>-20.88</td>\n",
       "      <td>-7.81</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>-29.5</td>\n",
       "      <td>10.46</td>\n",
       "      <td>9.6</td>\n",
       "      <td>4.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>VALORFINAL</td>\n",
       "      <td>-120.0</td>\n",
       "      <td>-65.0</td>\n",
       "      <td>-50.0</td>\n",
       "      <td>-120.0</td>\n",
       "      <td>-80.0</td>\n",
       "      <td>-120.0</td>\n",
       "      <td>-55.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>-120.3</td>\n",
       "      <td>-45.0</td>\n",
       "      <td>-13.0</td>\n",
       "      <td>-60.0</td>\n",
       "      <td>-170.0</td>\n",
       "      <td>60.3</td>\n",
       "      <td>55.3</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        index           0           1           2           3           4  \\\n",
       "0          id          19          19          19          19          19   \n",
       "1        ZONA     PAREDES     PAREDES     PAREDES     PAREDES     PAREDES   \n",
       "2       NLOJA           1           1           1           1           2   \n",
       "3    NOMELOJA       ALVRE       ALVRE       ALVRE       ALVRE      AGUIAR   \n",
       "4       FECHA  17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023   \n",
       "5     TAXAIVA         21%         21%         21%         21%         21%   \n",
       "6   VALORBASE      -99.17      -53.72      -41.32      -99.17      -66.12   \n",
       "7         IVA      -20.83      -11.28       -8.68      -20.83      -13.88   \n",
       "8  VALORFINAL      -120.0       -65.0       -50.0      -120.0       -80.0   \n",
       "\n",
       "            5           6           7           8           9          10  \\\n",
       "0          19          19          19          19          19          19   \n",
       "1     PAREDES     PAREDES     PAREDES     PAREDES     PAREDES     PAREDES   \n",
       "2           2           2           2           3           3           3   \n",
       "3      AGUIAR      AGUIAR      AGUIAR     RECAREI     RECAREI     RECAREI   \n",
       "4  17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023   \n",
       "5         21%         21%         21%         21%         21%         21%   \n",
       "6      -99.18      -45.45       57.85      -99.42      -37.19      -10.74   \n",
       "7      -20.82       -9.55       12.15      -20.88       -7.81       -2.26   \n",
       "8      -120.0       -55.0        70.0      -120.3       -45.0       -13.0   \n",
       "\n",
       "           11          12          13          14          15  \n",
       "0          19          19          19          19          19  \n",
       "1     PAREDES     PAREDES     PAREDES     PAREDES     PAREDES  \n",
       "2           3           4           4           4           4  \n",
       "3     RECAREI    SOBREIRA    SOBREIRA    SOBREIRA    SOBREIRA  \n",
       "4  17/12/2023  17/12/2023  17/12/2023  17/12/2023  17/12/2023  \n",
       "5         21%         21%         21%         21%         21%  \n",
       "6      -49.59      -140.5       49.84        45.7       19.84  \n",
       "7      -10.41       -29.5       10.46         9.6        4.16  \n",
       "8       -60.0      -170.0        60.3        55.3        24.0  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#o reset_index() cria nova coluna com o index\n",
    "input_query_df.T.reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c186dbca-a12c-4881-ad29-fefb3693889d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>0</th>\n",
       "      <th>1</th>\n",
       "      <th>2</th>\n",
       "      <th>3</th>\n",
       "      <th>4</th>\n",
       "      <th>5</th>\n",
       "      <th>6</th>\n",
       "      <th>7</th>\n",
       "      <th>8</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <td>id</td>\n",
       "      <td>ZONA</td>\n",
       "      <td>NLOJA</td>\n",
       "      <td>NOMELOJA</td>\n",
       "      <td>FECHA</td>\n",
       "      <td>TAXAIVA</td>\n",
       "      <td>VALORBASE</td>\n",
       "      <td>IVA</td>\n",
       "      <td>VALORFINAL</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-53.72</td>\n",
       "      <td>-11.28</td>\n",
       "      <td>-65.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-41.32</td>\n",
       "      <td>-8.68</td>\n",
       "      <td>-50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>1</td>\n",
       "      <td>ALVRE</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.17</td>\n",
       "      <td>-20.83</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-66.12</td>\n",
       "      <td>-13.88</td>\n",
       "      <td>-80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.18</td>\n",
       "      <td>-20.82</td>\n",
       "      <td>-120.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-45.45</td>\n",
       "      <td>-9.55</td>\n",
       "      <td>-55.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>2</td>\n",
       "      <td>AGUIAR</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>57.85</td>\n",
       "      <td>12.15</td>\n",
       "      <td>70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-99.42</td>\n",
       "      <td>-20.88</td>\n",
       "      <td>-120.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-37.19</td>\n",
       "      <td>-7.81</td>\n",
       "      <td>-45.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-10.74</td>\n",
       "      <td>-2.26</td>\n",
       "      <td>-13.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>3</td>\n",
       "      <td>RECAREI</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-49.59</td>\n",
       "      <td>-10.41</td>\n",
       "      <td>-60.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>-140.5</td>\n",
       "      <td>-29.5</td>\n",
       "      <td>-170.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>49.84</td>\n",
       "      <td>10.46</td>\n",
       "      <td>60.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>45.7</td>\n",
       "      <td>9.6</td>\n",
       "      <td>55.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19</td>\n",
       "      <td>PAREDES</td>\n",
       "      <td>4</td>\n",
       "      <td>SOBREIRA</td>\n",
       "      <td>17/12/2023</td>\n",
       "      <td>21%</td>\n",
       "      <td>19.84</td>\n",
       "      <td>4.16</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        0        1      2         3           4        5          6      7  \\\n",
       "index  id     ZONA  NLOJA  NOMELOJA       FECHA  TAXAIVA  VALORBASE    IVA   \n",
       "0      19  PAREDES      1     ALVRE  17/12/2023      21%     -99.17 -20.83   \n",
       "1      19  PAREDES      1     ALVRE  17/12/2023      21%     -53.72 -11.28   \n",
       "2      19  PAREDES      1     ALVRE  17/12/2023      21%     -41.32  -8.68   \n",
       "3      19  PAREDES      1     ALVRE  17/12/2023      21%     -99.17 -20.83   \n",
       "4      19  PAREDES      2    AGUIAR  17/12/2023      21%     -66.12 -13.88   \n",
       "5      19  PAREDES      2    AGUIAR  17/12/2023      21%     -99.18 -20.82   \n",
       "6      19  PAREDES      2    AGUIAR  17/12/2023      21%     -45.45  -9.55   \n",
       "7      19  PAREDES      2    AGUIAR  17/12/2023      21%      57.85  12.15   \n",
       "8      19  PAREDES      3   RECAREI  17/12/2023      21%     -99.42 -20.88   \n",
       "9      19  PAREDES      3   RECAREI  17/12/2023      21%     -37.19  -7.81   \n",
       "10     19  PAREDES      3   RECAREI  17/12/2023      21%     -10.74  -2.26   \n",
       "11     19  PAREDES      3   RECAREI  17/12/2023      21%     -49.59 -10.41   \n",
       "12     19  PAREDES      4  SOBREIRA  17/12/2023      21%     -140.5  -29.5   \n",
       "13     19  PAREDES      4  SOBREIRA  17/12/2023      21%      49.84  10.46   \n",
       "14     19  PAREDES      4  SOBREIRA  17/12/2023      21%       45.7    9.6   \n",
       "15     19  PAREDES      4  SOBREIRA  17/12/2023      21%      19.84   4.16   \n",
       "\n",
       "                8  \n",
       "index  VALORFINAL  \n",
       "0          -120.0  \n",
       "1           -65.0  \n",
       "2           -50.0  \n",
       "3          -120.0  \n",
       "4           -80.0  \n",
       "5          -120.0  \n",
       "6           -55.0  \n",
       "7            70.0  \n",
       "8          -120.3  \n",
       "9           -45.0  \n",
       "10          -13.0  \n",
       "11          -60.0  \n",
       "12         -170.0  \n",
       "13           60.3  \n",
       "14           55.3  \n",
       "15           24.0  "
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Transposta \n",
    "#colocar no excel com as seguintes opções: header=False, index=False\n",
    "input_query_df.T.reset_index().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "388eee71-fccb-4269-b788-5f7505c4e630",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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