{
 "cells": [
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   "cell_type": "code",
   "execution_count": 2,
   "id": "2919eeaa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>UN</th>\n",
       "      <th>PDV</th>\n",
       "      <th>Mês</th>\n",
       "      <th>Orçamento PDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BOT</td>\n",
       "      <td>20969</td>\n",
       "      <td>1</td>\n",
       "      <td>2.684687e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>BOT</td>\n",
       "      <td>20991</td>\n",
       "      <td>1</td>\n",
       "      <td>4.163216e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>BOT</td>\n",
       "      <td>20996</td>\n",
       "      <td>1</td>\n",
       "      <td>1.378414e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>BOT</td>\n",
       "      <td>20997</td>\n",
       "      <td>1</td>\n",
       "      <td>2.254454e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>BOT</td>\n",
       "      <td>20998</td>\n",
       "      <td>1</td>\n",
       "      <td>4.559163e+06</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "    UN    PDV  Mês  Orçamento PDV\n",
       "0  BOT  20969    1   2.684687e+05\n",
       "1  BOT  20991    1   4.163216e+05\n",
       "2  BOT  20996    1   1.378414e+06\n",
       "3  BOT  20997    1   2.254454e+06\n",
       "4  BOT  20998    1   4.559163e+06"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "# Lê os dados\n",
    "df = pd.read_excel(r\"C:\\Users\\joao.herculano\\Downloads\\orcamento_para_pivotar.xlsx\")  # Substitua pelo caminho correto\n",
    "\n",
    "# Remove colunas que não serão usadas\n",
    "df = df.drop(columns=['Total'])\n",
    "\n",
    "# Criar lista de colunas de interesse\n",
    "colunas_fixas = ['UN', 'PDV']\n",
    "colunas_mes_orcamento = df.columns[len(colunas_fixas):]  # tudo que vem depois de UN e PDV\n",
    "\n",
    "# Quebrar as colunas em pares: (mês, orçamento)\n",
    "meses = list(range(1, 13))\n",
    "colunas_orcamento = colunas_mes_orcamento[1::2]  # pegar apenas os valores de orçamento\n",
    "\n",
    "# Criar um DataFrame vazio\n",
    "df_resultado = pd.DataFrame()\n",
    "\n",
    "# Para cada mês, adicionar ao resultado\n",
    "for i, mes in enumerate(meses):\n",
    "    nova_coluna = pd.DataFrame({\n",
    "        'UN': df['UN'],\n",
    "        'PDV': df['PDV'],\n",
    "        'Mês': mes,\n",
    "        'Orçamento PDV': df[colunas_orcamento[i]]\n",
    "    })\n",
    "    df_resultado = pd.concat([df_resultado, nova_coluna], ignore_index=True)\n",
    "\n",
    "\n",
    "\n",
    "df_resultado.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0bfaaf90",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_resultado.to_excel(r\"C:\\Users\\joao.herculano\\Downloads\\orcamento_para_pivotar2.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9268f5af",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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