232 lines
7.7 KiB
Plaintext
232 lines
7.7 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e9ac37de",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Total de linhas: 875\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>UN</th>\n",
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" <th>PDV</th>\n",
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" <th>CIDADE</th>\n",
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" <th>LOCAL DO PDV</th>\n",
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" <th>RECEITA PERÍODO ANTERIOR</th>\n",
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" <th>RECEITA PERÍODO ATUAL</th>\n",
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" <th>META PEF</th>\n",
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" <th>GAP ACORDADO (R$)</th>\n",
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" <th>GAP ACORDADO (%)</th>\n",
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" <th>REALIZADO</th>\n",
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" <th>arquivo_base</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>Quem Disse Berenice</td>\n",
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" <td>910173</td>\n",
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" <td>Maceio</td>\n",
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" <td>Shopping</td>\n",
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" <td>173913.81</td>\n",
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" <td>0</td>\n",
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" <td>167464.53</td>\n",
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" <td>-167464.53</td>\n",
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" <td>-1</td>\n",
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" <td>0</td>\n",
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" <td>C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>O Boticário</td>\n",
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" <td>21381</td>\n",
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" <td>Capim Grosso</td>\n",
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" <td>Rua</td>\n",
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" <td>120594.40</td>\n",
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" <td>0</td>\n",
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" <td>155346.60</td>\n",
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" <td>-155346.60</td>\n",
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" <td>-1</td>\n",
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" <td>0</td>\n",
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" <td>C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>O Boticário</td>\n",
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" <td>23707</td>\n",
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" <td>Vitoria Da Conquista</td>\n",
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" <td>Rua</td>\n",
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" <td>131055.70</td>\n",
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" <td>0</td>\n",
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" <td>159139.40</td>\n",
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" <td>-159139.40</td>\n",
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" <td>-1</td>\n",
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" <td>0</td>\n",
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" <td>C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>O Boticário</td>\n",
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" <td>21068</td>\n",
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" <td>Simoes Filho</td>\n",
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" <td>Cash & Carry</td>\n",
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" <td>146448.38</td>\n",
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" <td>0</td>\n",
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" <td>144695.45</td>\n",
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" <td>-144695.45</td>\n",
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" <td>-1</td>\n",
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" <td>0</td>\n",
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" <td>C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>O Boticário</td>\n",
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" <td>20441</td>\n",
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" <td>Lagarto</td>\n",
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" <td>Rua</td>\n",
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" <td>225341.32</td>\n",
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" <td>0</td>\n",
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" <td>311878.51</td>\n",
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" <td>-311878.51</td>\n",
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" <td>-1</td>\n",
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" <td>0</td>\n",
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" <td>C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên...</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" UN PDV CIDADE LOCAL DO PDV \\\n",
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"0 Quem Disse Berenice 910173 Maceio Shopping \n",
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"1 O Boticário 21381 Capim Grosso Rua \n",
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"2 O Boticário 23707 Vitoria Da Conquista Rua \n",
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"3 O Boticário 21068 Simoes Filho Cash & Carry \n",
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"4 O Boticário 20441 Lagarto Rua \n",
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"\n",
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" RECEITA PERÍODO ANTERIOR RECEITA PERÍODO ATUAL META PEF \\\n",
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"0 173913.81 0 167464.53 \n",
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"1 120594.40 0 155346.60 \n",
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"2 131055.70 0 159139.40 \n",
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"3 146448.38 0 144695.45 \n",
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"4 225341.32 0 311878.51 \n",
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"\n",
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" GAP ACORDADO (R$) GAP ACORDADO (%) REALIZADO \\\n",
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"0 -167464.53 -1 0 \n",
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"1 -155346.60 -1 0 \n",
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"2 -159139.40 -1 0 \n",
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"3 -144695.45 -1 0 \n",
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"4 -311878.51 -1 0 \n",
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"\n",
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" arquivo_base \n",
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"0 C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên... \n",
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"1 C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên... \n",
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"2 C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên... \n",
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"3 C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên... \n",
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"4 C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistên... "
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import os\n",
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"import pandas as pd\n",
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"import glob\n",
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"\n",
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"# Caminho da pasta onde estão os arquivos\n",
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"pasta = r'C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\DB_ORÇAMENTO FIANCEIRO\\meta pef baixada hj'\n",
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"\n",
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"# Lista todos os arquivos .xlsx no diretório\n",
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"arquivos_xlsx = glob.glob(os.path.join(pasta, '*.xlsx'))\n",
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"\n",
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"# Lista para armazenar os DataFrames\n",
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"dfs = []\n",
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"\n",
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"# Loop pelos arquivos encontrados\n",
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"for arquivo in arquivos_xlsx:\n",
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" try:\n",
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" df = pd.read_excel(arquivo, sheet_name='PERFORMANCE POR PDV', skiprows=2)\n",
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" df['arquivo_base'] = arquivo\n",
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" dfs.append(df)\n",
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" except Exception as e:\n",
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" print(f\"Erro ao ler {arquivo}: {e}\")\n",
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"\n",
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"# Concatena todos os DataFrames\n",
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"compilado_pef = pd.concat(dfs, ignore_index=True)\n",
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"\n",
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"# Exibe informações do DataFrame final\n",
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"print(f\"Total de linhas: {len(compilado_pef)}\")\n",
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"compilado_pef.head()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"id": "40a4ace1",
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"metadata": {},
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"outputs": [],
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"source": [
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"compilado_pef.to_excel(r'C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\DB_ORÇAMENTO FIANCEIRO\\PEF_ATUALIZADA.xlsx',index=False)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "949b7fdc",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.13.2"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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