{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6ad35669",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np \n",
    "import glob\n",
    "import os \n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "fa16d50c",
   "metadata": {},
   "outputs": [],
   "source": [
    "hoje = datetime.today().strftime('%Y-%m-%d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "9fcdc77a",
   "metadata": {},
   "outputs": [],
   "source": [
    "calendario = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BASE DE DADOS LANÇAMENTO\\BOT\\CICLO 9\\CALENDARIO_CICLO\\Ciclo_Expandido_com_Datas.xlsx\")\n",
    "\n",
    "calendario['Date'] = pd.to_datetime(calendario['Date'])\n",
    "\n",
    "# Get today (normalized to midnight)\n",
    "today = pd.Timestamp(\"today\").normalize()\n",
    "\n",
    "calendario['NUM_CICLO'] = calendario['Ciclo'].str[-2:].astype(int)\n",
    "\n",
    "calendario['ANO_CICLO'] = calendario['Ciclo'].str[0:5]\n",
    "\n",
    "calendario = calendario[calendario['MARCA'] == \"BOTICARIO\"]\n",
    "\n",
    "calendario['CICLOMAIS2'] = calendario['ANO_CICLO'].astype(str) + (calendario['NUM_CICLO'].astype(int) + 3).astype(str).str.zfill(2)       #<<< MUDAR O \"4\" (CICLO ATUAL + 4 PARA ACHAR O CICLO DA SUGESTÃO) EX: C202505 -> C202509\n",
    "ciclo_mais2 = calendario[calendario['Date'].dt.normalize() == today]['CICLOMAIS2'].iloc[0]\n",
    "\n",
    "# Filter rows where date matches today\n",
    "filtered_calendario = calendario[calendario['Ciclo'] == ciclo_mais2][:1]\n",
    "\n",
    "filtered_calendario['dias_ate_inicio'] = filtered_calendario['INICIO CICLO'].iloc[0] - today\n",
    "\n",
    "filtered_calendario['dias_ate_inicio'] = filtered_calendario['dias_ate_inicio'].dt.days.astype(int)\n",
    "\n",
    "filtered_calendario['match'] = 1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bbec229d",
   "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>Ciclo</th>\n",
       "      <th>INICIO CICLO</th>\n",
       "      <th>FIM CICLO</th>\n",
       "      <th>DURAÇÃO</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>Date</th>\n",
       "      <th>NUM_CICLO</th>\n",
       "      <th>ANO_CICLO</th>\n",
       "      <th>CICLOMAIS2</th>\n",
       "      <th>dias_ate_inicio</th>\n",
       "      <th>match</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2409</th>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>BOTICARIO</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>15</td>\n",
       "      <td>C2025</td>\n",
       "      <td>C202518</td>\n",
       "      <td>59</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        Ciclo INICIO CICLO  FIM CICLO  DURAÇÃO      MARCA       Date  \\\n",
       "2409  C202515   2025-10-13 2025-11-02       21  BOTICARIO 2025-10-13   \n",
       "\n",
       "      NUM_CICLO ANO_CICLO CICLOMAIS2  dias_ate_inicio  match  \n",
       "2409         15     C2025    C202518               59      1  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "filtered_calendario"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "0245ed28",
   "metadata": {},
   "outputs": [],
   "source": [
    "ciclo_lanc = filtered_calendario['Ciclo'].max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "7a3c1e6f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'C202515'"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ciclo_lanc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "61ffc777",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_similares = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\BOT - C15\\arquivos para geração da sugestão\\SIMILARES\\PRODUTOS SIMILARES - BOT.xlsx\")\n",
    "\n",
    "df_similares = pd.merge(left=df_similares,right=calendario[['Ciclo','INICIO CICLO','FIM CICLO','DURAÇÃO']], how= 'left', left_on = 'CICLO SIMILAR',right_on = 'Ciclo' )\n",
    "\n",
    "df_similares = df_similares.drop(columns=['Ciclo'])\n",
    "\n",
    "df_similares = df_similares.rename(columns={'INICIO CICLO':'INICIO CICLO SIMILAR','FIM CICLO':'FIM CICLO SIMILAR','DURAÇÃO':'DURAÇÃO CICLO SIMILAR'})\n",
    "df_similares.drop_duplicates(inplace=True)\n",
    "\n",
    "df_similares['MATCH'] = 1\n",
    "\n",
    "df_similares = df_similares.drop(columns=['INICIO DO CICLO', 'FIM DO CICLO', 'DURAÇÃO CICLO','INICIO CICLO SIMILAR','FIM CICLO SIMILAR','DURAÇÃO CICLO SIMILAR'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ad836441",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_similares['PRODUTO SIMILAR'] = df_similares['PRODUTO SIMILAR'].astype('str')\n",
    "\n",
    "df_similares['PRODUTO SIMILAR'] = df_similares['PRODUTO SIMILAR'].replace(r'\\.0$', '', regex=True)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "1fdd05a3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PRODUTO SIMILAR\n",
       "52004    1\n",
       "52008    1\n",
       "52005    1\n",
       "72929    1\n",
       "53389    1\n",
       "57474    1\n",
       "52012    1\n",
       "58138    1\n",
       "49973    1\n",
       "1006     1\n",
       "53342    1\n",
       "47963    1\n",
       "84056    1\n",
       "25458    1\n",
       "48136    1\n",
       "51448    1\n",
       "1004     1\n",
       "58373    1\n",
       "75792    1\n",
       "55659    1\n",
       "48635    1\n",
       "48621    1\n",
       "59306    1\n",
       "49225    1\n",
       "49228    1\n",
       "57759    1\n",
       "55766    1\n",
       "87000    1\n",
       "87771    1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "\n",
    "df_similares = df_similares[df_similares['PRODUTO SIMILAR']!= 'nan']\n",
    "\n",
    "df_similares['PRODUTO SIMILAR'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "99ea95e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PRODUTO LANÇAMENTO', 'DESCRIÇÃO DO LANÇAMENTO', 'PRODUTO SIMILAR',\n",
       "       'DESCRIÇÃO SIMILAR', 'CICLO SIMILAR', 'FOCO', 'IAF', 'CATEGORIA',\n",
       "       'MARCA', '% CONSUMIDOR', 'MECANICA CONSUMIDOR', '% REVENDEDOR',\n",
       "       'MECANICA REVENDEDOR', 'TIPO DE PRODUTO', 'MATCH'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_similares.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "fe922f62",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_tabela = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\BOT - C14\\arquivos para geração da sugestão\\TABELA DE PEDIDO\\Pedidos Semanais Especiais - BOT - 202514.xlsx\")\n",
    "\n",
    "df_tabela = df_tabela[df_tabela['Região'] == 'NNE'] \n",
    "\n",
    "df_tabela = df_tabela[(df_tabela['Canal'] != 'Ecomm') | (df_tabela['Canal'] != 'Ecomm | VD') | (df_tabela['Canal'] != 'Ecomm | Loja')] \n",
    "\n",
    "df_tabela['Canal'] = np.where((df_tabela['Canal'] == \"Loja\") | (df_tabela['Canal'] == \"Todos\") | (df_tabela['Canal'] == \"Loja | VD\"),\"TODOS\",\"VD\")\n",
    "\n",
    "df_tabela = df_tabela[df_tabela['Tipo de promoção'].str.contains('Lançamentos', na=False)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "e0c55962",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pdv = pd.read_excel(r\"C:\\Users\\joao.herculano\\Documents\\PDV_ATT.xlsx\")\n",
    "df_pdv = df_pdv[~df_pdv['PDV'].isin(['910173', '910291'])]\n",
    "\n",
    "df_pdv_origi = pd.read_excel(r\"C:\\Users\\joao.herculano\\Documents\\PDV_ATT.xlsx\")\n",
    "df_pdv_origi = df_pdv_origi[~df_pdv_origi['PDV'].isin(['910173', '910291'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "f93735d1",
   "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>PDV</th>\n",
       "      <th>CANAL</th>\n",
       "      <th>DESCRIÇÃO</th>\n",
       "      <th>PDV DESC</th>\n",
       "      <th>REGIÃO</th>\n",
       "      <th>ESTADO</th>\n",
       "      <th>CIDADE</th>\n",
       "      <th>UF</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>ANALISTA</th>\n",
       "      <th>GESTÃO</th>\n",
       "      <th>SUPERVISOR</th>\n",
       "      <th>STATUS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>24293</td>\n",
       "      <td>HIB</td>\n",
       "      <td>COMERCIO-HIB MORRO DO CHAPEU</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>BA3</td>\n",
       "      <td>O BOTICARIO</td>\n",
       "      <td>MARCYARA</td>\n",
       "      <td>Alysson</td>\n",
       "      <td>Arianne Sodré [Provisório]</td>\n",
       "      <td>ATIVO</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      PDV CANAL                     DESCRIÇÃO PDV DESC REGIÃO ESTADO CIDADE  \\\n",
       "82  24293   HIB  COMERCIO-HIB MORRO DO CHAPEU      NaN    NaN    NaN    NaN   \n",
       "\n",
       "     UF        MARCA  ANALISTA   GESTÃO                  SUPERVISOR STATUS  \n",
       "82  BA3  O BOTICARIO  MARCYARA  Alysson  Arianne Sodré [Provisório]  ATIVO  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_pdv[df_pdv['PDV']==24293]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "a3a045d9",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "df_pdv = df_pdv.rename(columns={'DESCRIÇÃO':'DESCRIÇÃO PDV'})\n",
    "\n",
    "df_pdv = df_pdv.drop(columns=['REGIÃO', 'ESTADO','CIDADE','GESTÃO','MARCA'])\n",
    "\n",
    "df_pdv['UF'] = np.where(df_pdv['UF'] == 'VDC','BA',df_pdv['UF'])\n",
    "\n",
    "#ignorando a PDV que ainda não está online\n",
    "df_pdv = df_pdv[df_pdv['DESCRIÇÃO PDV'] != '23813-COMERCIO-HIB VALENTE']\n",
    "\n",
    "df_pdv = df_pdv[df_pdv['STATUS'] != \"INATIVO\"]\n",
    "\n",
    "df_pdv = df_pdv[df_pdv['STATUS'] != \"MATRIZ\"]\n",
    "\n",
    "df_pdv = df_pdv[df_pdv['SUPERVISOR'] != 'Inativa']\n",
    "\n",
    "df_pdv['MATCH'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "df04a501",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_similares = pd.merge(left=df_similares,right=df_pdv,right_on=['MATCH'],left_on=['MATCH'],how='inner')\n",
    "\n",
    "df_similares = df_similares.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0da911af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(141690, 47)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Caminho onde estão as subpastas com os arquivos CSV\n",
    "\n",
    "# Set the path to the folder containing CSV files\n",
    "folder_path = r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\Bot - C13\\LANÇAMENTOS\\arquivos para geração da sugestão\\DRAFT\"  # arquivo dos drafts\n",
    "\n",
    "# Pattern to match all CSV files\n",
    "csv_files = glob.glob(os.path.join(folder_path, '*.csv'))\n",
    "\n",
    "# Read and concat all CSVs\n",
    "df_draft = pd.concat([pd.read_csv(file) for file in csv_files], ignore_index=True)\n",
    "\n",
    "df_draft['match'] = 1 \n",
    "\n",
    "df_draft.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "0c8c7493",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_draft = df_draft.drop(columns=['Categoria'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "91298cde",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Histórico de Vendas do Ciclo 202410',\n",
       "       'Histórico de Vendas do Ciclo 202411',\n",
       "       'Histórico de Vendas do Ciclo 202412',\n",
       "       'Histórico de Vendas do Ciclo 202413',\n",
       "       'Histórico de Vendas do Ciclo 202414',\n",
       "       'Histórico de Vendas do Ciclo 202415',\n",
       "       'Histórico de Vendas do Ciclo 202416',\n",
       "       'Histórico de Vendas do Ciclo 202417',\n",
       "       'Histórico de Vendas do Ciclo 202501',\n",
       "       'Histórico de Vendas do Ciclo 202502',\n",
       "       'Histórico de Vendas do Ciclo 202503',\n",
       "       'Histórico de Vendas do Ciclo 202504',\n",
       "       'Histórico de Vendas do Ciclo 202505',\n",
       "       'Histórico de Vendas do Ciclo 202506',\n",
       "       'Histórico de Vendas do Ciclo 202507',\n",
       "       'Histórico de Vendas do Ciclo 202508',\n",
       "       'Histórico de Vendas do Ciclo 202509',\n",
       "       'Histórico de Vendas do Ciclo Atual'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_draft.columns[7:25]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ed859826",
   "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>PDV</th>\n",
       "      <th>Classe</th>\n",
       "      <th>SKU</th>\n",
       "      <th>Descrição</th>\n",
       "      <th>Subcategoria</th>\n",
       "      <th>Lançamento</th>\n",
       "      <th>Desativação</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202410</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202411</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202412</th>\n",
       "      <th>...</th>\n",
       "      <th>Item Desativado</th>\n",
       "      <th>Data Prevista Regularização</th>\n",
       "      <th>Carteira Bloqueada Para Novos Pedidos</th>\n",
       "      <th>Planograma</th>\n",
       "      <th>Quantidade por caixa</th>\n",
       "      <th>Preço Sell In</th>\n",
       "      <th>Quantidade</th>\n",
       "      <th>Item analisado</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202409</th>\n",
       "      <th>match</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>24293</td>\n",
       "      <td>C</td>\n",
       "      <td>49014</td>\n",
       "      <td>ACCORDES CREM DES HID CPO 200ml V2</td>\n",
       "      <td>CUIDADOS COM O CORPO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>54</td>\n",
       "      <td>17.49</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>24293</td>\n",
       "      <td>C</td>\n",
       "      <td>49016</td>\n",
       "      <td>ACCORDES DES BDY SPR 100ml V6</td>\n",
       "      <td>DESODORANTE FEMININO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>85</td>\n",
       "      <td>16.77</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>168</th>\n",
       "      <td>24293</td>\n",
       "      <td>B</td>\n",
       "      <td>48141</td>\n",
       "      <td>ACCORDES DES COL 80ml V5</td>\n",
       "      <td>PERFUMARIA FEMININA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41</td>\n",
       "      <td>63.24</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>246</th>\n",
       "      <td>24293</td>\n",
       "      <td>B</td>\n",
       "      <td>51213</td>\n",
       "      <td>ACCORDES DES COL HARMONIA 80ml V4</td>\n",
       "      <td>PERFUMARIA FEMININA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>Baixo Atendimento</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>41</td>\n",
       "      <td>63.24</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>86017</td>\n",
       "      <td>ARBO CREM PRE/POS BARBA 100g</td>\n",
       "      <td>PRÉ-BARBEAR</td>\n",
       "      <td>C08</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>80</td>\n",
       "      <td>18.41</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\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>141535</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>50571</td>\n",
       "      <td>QDB SRUM FAC LEVANTA TUDO SKIN Q 30ml</td>\n",
       "      <td>HIDRATANTES E TRATAMENTOS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>2025-08-18</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99</td>\n",
       "      <td>31.64</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141567</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>50574</td>\n",
       "      <td>QDB SRUM FAC PREENCHE TUDO SKIN 30ml</td>\n",
       "      <td>HIDRATANTES E TRATAMENTOS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99</td>\n",
       "      <td>31.64</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141599</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>9403</td>\n",
       "      <td>QDB SRUM FAC TRIP COMB SKIN Q 30ml</td>\n",
       "      <td>HIDRATANTES E TRATAMENTOS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99</td>\n",
       "      <td>31.64</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141629</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>50568</td>\n",
       "      <td>QDB SRUM REST FAC ACORD/GLOW SKIN Q 30ml</td>\n",
       "      <td>HIDRATANTES E TRATAMENTOS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>2025-07-16</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>99</td>\n",
       "      <td>27.32</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141661</th>\n",
       "      <td>24293</td>\n",
       "      <td>E</td>\n",
       "      <td>53912</td>\n",
       "      <td>QDB TOALHA DEMAQ ALG</td>\n",
       "      <td>FUNCIONAIS MAQUIAGEM</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84</td>\n",
       "      <td>17.77</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2557 rows × 46 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          PDV Classe    SKU                                 Descrição  \\\n",
       "12      24293      C  49014        ACCORDES CREM DES HID CPO 200ml V2   \n",
       "90      24293      C  49016             ACCORDES DES BDY SPR 100ml V6   \n",
       "168     24293      B  48141                  ACCORDES DES COL 80ml V5   \n",
       "246     24293      B  51213         ACCORDES DES COL HARMONIA 80ml V4   \n",
       "324     24293      E  86017              ARBO CREM PRE/POS BARBA 100g   \n",
       "...       ...    ...    ...                                       ...   \n",
       "141535  24293      E  50571     QDB SRUM FAC LEVANTA TUDO SKIN Q 30ml   \n",
       "141567  24293      E  50574      QDB SRUM FAC PREENCHE TUDO SKIN 30ml   \n",
       "141599  24293      E   9403        QDB SRUM FAC TRIP COMB SKIN Q 30ml   \n",
       "141629  24293      E  50568  QDB SRUM REST FAC ACORD/GLOW SKIN Q 30ml   \n",
       "141661  24293      E  53912                      QDB TOALHA DEMAQ ALG   \n",
       "\n",
       "                     Subcategoria Lançamento Desativação  \\\n",
       "12           CUIDADOS COM O CORPO        NaN         NaN   \n",
       "90           DESODORANTE FEMININO        NaN         NaN   \n",
       "168           PERFUMARIA FEMININA        NaN         NaN   \n",
       "246           PERFUMARIA FEMININA        NaN         NaN   \n",
       "324                   PRÉ-BARBEAR        C08         NaN   \n",
       "...                           ...        ...         ...   \n",
       "141535  HIDRATANTES E TRATAMENTOS        NaN         NaN   \n",
       "141567  HIDRATANTES E TRATAMENTOS        NaN         NaN   \n",
       "141599  HIDRATANTES E TRATAMENTOS        NaN         NaN   \n",
       "141629  HIDRATANTES E TRATAMENTOS        NaN         NaN   \n",
       "141661       FUNCIONAIS MAQUIAGEM        NaN         NaN   \n",
       "\n",
       "        Histórico de Vendas do Ciclo 202410  \\\n",
       "12                                        0   \n",
       "90                                        0   \n",
       "168                                       0   \n",
       "246                                       0   \n",
       "324                                       0   \n",
       "...                                     ...   \n",
       "141535                                    0   \n",
       "141567                                    0   \n",
       "141599                                    0   \n",
       "141629                                    0   \n",
       "141661                                    0   \n",
       "\n",
       "        Histórico de Vendas do Ciclo 202411  \\\n",
       "12                                        0   \n",
       "90                                        0   \n",
       "168                                       0   \n",
       "246                                       0   \n",
       "324                                       0   \n",
       "...                                     ...   \n",
       "141535                                    0   \n",
       "141567                                    0   \n",
       "141599                                    0   \n",
       "141629                                    0   \n",
       "141661                                    0   \n",
       "\n",
       "        Histórico de Vendas do Ciclo 202412  ...  Item Desativado  \\\n",
       "12                                        0  ...              Não   \n",
       "90                                        0  ...              Não   \n",
       "168                                       0  ...              Não   \n",
       "246                                       0  ...              Não   \n",
       "324                                       0  ...              Não   \n",
       "...                                     ...  ...              ...   \n",
       "141535                                    0  ...              Não   \n",
       "141567                                    0  ...              Não   \n",
       "141599                                    0  ...              Não   \n",
       "141629                                    0  ...              Não   \n",
       "141661                                    0  ...              Não   \n",
       "\n",
       "        Data Prevista Regularização  Carteira Bloqueada Para Novos Pedidos  \\\n",
       "12                                0                                    Não   \n",
       "90                                0                                    Não   \n",
       "168                               0                                    Não   \n",
       "246               Baixo Atendimento                                    Não   \n",
       "324                               0                                    Não   \n",
       "...                             ...                                    ...   \n",
       "141535                   2025-08-18                                    Não   \n",
       "141567                            0                                    Não   \n",
       "141599                            0                                    Não   \n",
       "141629                   2025-07-16                                    Não   \n",
       "141661                            0                                    Não   \n",
       "\n",
       "        Planograma  Quantidade por caixa  Preço Sell In  Quantidade  \\\n",
       "12             0.0                    54          17.49           0   \n",
       "90             0.0                    85          16.77           0   \n",
       "168            0.0                    41          63.24           0   \n",
       "246            0.0                    41          63.24           0   \n",
       "324            0.0                    80          18.41           0   \n",
       "...            ...                   ...            ...         ...   \n",
       "141535         0.0                    99          31.64           0   \n",
       "141567         0.0                    99          31.64           0   \n",
       "141599         0.0                    99          31.64           0   \n",
       "141629         0.0                    99          27.32           0   \n",
       "141661         0.0                    84          17.77           0   \n",
       "\n",
       "        Item analisado  Histórico de Vendas do Ciclo 202409  match  \n",
       "12                 Não                                  NaN      1  \n",
       "90                 Não                                  NaN      1  \n",
       "168                Não                                  NaN      1  \n",
       "246                Não                                  NaN      1  \n",
       "324                Não                                  NaN      1  \n",
       "...                ...                                  ...    ...  \n",
       "141535             Não                                  0.0      1  \n",
       "141567             Não                                  0.0      1  \n",
       "141599             Não                                  0.0      1  \n",
       "141629             Não                                  0.0      1  \n",
       "141661             Não                                  0.0      1  \n",
       "\n",
       "[2557 rows x 46 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_draft[df_draft['PDV']==24293]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "34e179cb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joao.herculano\\AppData\\Local\\Temp\\ipykernel_101180\\1463083786.py:24: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n",
      "  crescimento_por_pdv = df_draft.groupby('PDV').apply(calcular_crescimento)\n"
     ]
    }
   ],
   "source": [
    "# Define as colunas mensais\n",
    "colunas_mensais = df_draft.columns[7:25]\n",
    "\n",
    "# Agrupa por PDV e calcula crescimento médio por PDV\n",
    "def calcular_crescimento(grupo):\n",
    "    soma_mensal = grupo[colunas_mensais].sum()             # soma por mês\n",
    "    variacao_mensal = soma_mensal.pct_change().dropna()    # variação percentual mês a mês\n",
    "    variacao_mensal = variacao_mensal[np.isfinite(variacao_mensal)]\n",
    "\n",
    "    if len(variacao_mensal) == 0:\n",
    "        return pd.Series({'CRESCIMENTO': np.nan})\n",
    "\n",
    "    media = variacao_mensal.mean()\n",
    "    desvio = variacao_mensal.std()\n",
    "\n",
    "    limite_sup = media + 2 * desvio\n",
    "    limite_inf = media - 2 * desvio\n",
    "\n",
    "    variacoes_filtradas = variacao_mensal[variacao_mensal.between(limite_inf, limite_sup)]\n",
    "    crescimento = round(variacoes_filtradas.mean(), 4)\n",
    "    return pd.Series({'CRESCIMENTO': crescimento})\n",
    "\n",
    "# Aplica a função por PDV\n",
    "crescimento_por_pdv = df_draft.groupby('PDV').apply(calcular_crescimento)\n",
    "\n",
    "# Merge do resultado de volta no dataframe original\n",
    "df_draft = df_draft.merge(crescimento_por_pdv, on='PDV', how='left')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "94aa432f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    52004\n",
       "1    52004\n",
       "2    52004\n",
       "3    52004\n",
       "4    52004\n",
       "Name: PRODUTO SIMILAR, dtype: Int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_similares['PRODUTO SIMILAR'] = df_similares['PRODUTO SIMILAR'].astype('Int64')\n",
    "df_similares['PRODUTO SIMILAR'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4bc8c2b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_similares['PDV'] = df_similares['PDV'].astype('Int64')\n",
    "\n",
    "df_final = pd.merge(left=df_similares,right=df_draft,right_on=['PDV', 'SKU'],left_on=['PDV','PRODUTO SIMILAR'],how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "aae416dd",
   "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>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>DESCRIÇÃO SIMILAR</th>\n",
       "      <th>CICLO SIMILAR</th>\n",
       "      <th>FOCO</th>\n",
       "      <th>IAF</th>\n",
       "      <th>CATEGORIA</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>% CONSUMIDOR</th>\n",
       "      <th>...</th>\n",
       "      <th>Data Prevista Regularização</th>\n",
       "      <th>Carteira Bloqueada Para Novos Pedidos</th>\n",
       "      <th>Planograma</th>\n",
       "      <th>Quantidade por caixa</th>\n",
       "      <th>Preço Sell In</th>\n",
       "      <th>Quantidade</th>\n",
       "      <th>Item analisado</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202409</th>\n",
       "      <th>match</th>\n",
       "      <th>CRESCIMENTO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.62</td>\n",
       "      <td>9.0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.62</td>\n",
       "      <td>4.0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0138</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>0.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.62</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>3.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>23.62</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0171</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\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>2286</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2287</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2288</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2289</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2290</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2291 rows × 69 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "...                  ...                                                ...   \n",
       "2286               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2287               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2288               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2289               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2290               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "\n",
       "      PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "1               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "2               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "3               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "4               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "...               ...                                       ...           ...   \n",
       "2286            87771                                         0             0   \n",
       "2287            87771                                         0             0   \n",
       "2288            87771                                         0             0   \n",
       "2289            87771                                         0             0   \n",
       "2290            87771                                         0             0   \n",
       "\n",
       "     FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ...  \\\n",
       "0     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "1     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "2     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "3     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "4     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "...   ...  ...                  ...         ...            ...  ...   \n",
       "2286  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...   \n",
       "2287  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...   \n",
       "2288  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...   \n",
       "2289  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...   \n",
       "2290  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...   \n",
       "\n",
       "     Data Prevista Regularização Carteira Bloqueada Para Novos Pedidos  \\\n",
       "0                              0                                   Não   \n",
       "1                              0                                   Não   \n",
       "2                              0                                   Não   \n",
       "3                              0                                   Não   \n",
       "4                              0                                   Não   \n",
       "...                          ...                                   ...   \n",
       "2286                         NaN                                   NaN   \n",
       "2287                         NaN                                   NaN   \n",
       "2288                         NaN                                   NaN   \n",
       "2289                         NaN                                   NaN   \n",
       "2290                         NaN                                   NaN   \n",
       "\n",
       "     Planograma Quantidade por caixa  Preço Sell In  Quantidade  \\\n",
       "0           3.0                 30.0          23.62         0.0   \n",
       "1           3.0                 30.0          23.62         9.0   \n",
       "2           3.0                 30.0          23.62         4.0   \n",
       "3           0.0                 30.0          23.62         0.0   \n",
       "4           3.0                 30.0          23.62         1.0   \n",
       "...         ...                  ...            ...         ...   \n",
       "2286        NaN                  NaN            NaN         NaN   \n",
       "2287        NaN                  NaN            NaN         NaN   \n",
       "2288        NaN                  NaN            NaN         NaN   \n",
       "2289        NaN                  NaN            NaN         NaN   \n",
       "2290        NaN                  NaN            NaN         NaN   \n",
       "\n",
       "     Item analisado Histórico de Vendas do Ciclo 202409 match CRESCIMENTO  \n",
       "0               Não                                 NaN   1.0     -0.0154  \n",
       "1               Não                                 NaN   1.0     -0.0341  \n",
       "2               Não                                 NaN   1.0     -0.0138  \n",
       "3               Não                                 NaN   1.0     -0.0595  \n",
       "4               Não                                 NaN   1.0     -0.0171  \n",
       "...             ...                                 ...   ...         ...  \n",
       "2286            NaN                                 NaN   NaN         NaN  \n",
       "2287            NaN                                 NaN   NaN         NaN  \n",
       "2288            NaN                                 NaN   NaN         NaN  \n",
       "2289            NaN                                 NaN   NaN         NaN  \n",
       "2290            NaN                                 NaN   NaN         NaN  \n",
       "\n",
       "[2291 rows x 69 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2c9f011d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PRODUTO SIMILAR\n",
       "52004    79\n",
       "52008    79\n",
       "52005    79\n",
       "72929    79\n",
       "53389    79\n",
       "57474    79\n",
       "52012    79\n",
       "58138    79\n",
       "49973    79\n",
       "1006     79\n",
       "53342    79\n",
       "47963    79\n",
       "84056    79\n",
       "25458    79\n",
       "48136    79\n",
       "51448    79\n",
       "1004     79\n",
       "58373    79\n",
       "75792    79\n",
       "55659    79\n",
       "48635    79\n",
       "48621    79\n",
       "59306    79\n",
       "49225    79\n",
       "49228    79\n",
       "57759    79\n",
       "55766    79\n",
       "87000    79\n",
       "87771    79\n",
       "Name: count, dtype: Int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_similares= df_similares[df_similares['PRODUTO SIMILAR'].notna()]\n",
    "\n",
    "df_similares['PRODUTO SIMILAR'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "0ff66803",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SKU\n",
       "52004.0    77\n",
       "52008.0    77\n",
       "52005.0    77\n",
       "53389.0    77\n",
       "52012.0    77\n",
       "58138.0    77\n",
       "49973.0    77\n",
       "47963.0    77\n",
       "84056.0    77\n",
       "25458.0    77\n",
       "48136.0    77\n",
       "51448.0    77\n",
       "1004.0     77\n",
       "75792.0    77\n",
       "55659.0    77\n",
       "48635.0    77\n",
       "48621.0    77\n",
       "59306.0    77\n",
       "57759.0    77\n",
       "55766.0    77\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['SKU'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "c1451562",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_venda_diaria = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\BOT - C12\\LANÇAMENTOS\\arquivos para geração da sugestão\\VENDAS_DIARIAS\\FormFiltroConsultaVendaSintetica_17_06_2025_14_04_40.xls\")\n",
    "#df_venda_diaria.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "64bde00b",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_venda_diaria = pd.read_csv(\n",
    "    r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\BOT - C15\\arquivos para geração da sugestão\\VENDAS_DIARIAS\\vendas 20250815.csv\",\n",
    "    sep=';',\n",
    "    dtype={'SKU_2': str},decimal=',')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "6ab155b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_venda_diaria['VENDAS_CICLO'] = df_venda_diaria['VENDAS_CICLO'].str.replace(r'\\.', '', regex=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1d25e5df",
   "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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>VENDAS_CICLO</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV     SKU                                 DESCRICAO VENDAS_CICLO  \\\n",
       "0  12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml           11   \n",
       "1  20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK            1   \n",
       "2  20858  74.103            GLAMOUR DES COL SEC BL 75ml V4            5   \n",
       "3   5699  47.950                          ZAAD EDP 95ml V6           12   \n",
       "4  20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml            2   \n",
       "\n",
       "     Ciclo  \n",
       "0  C202307  \n",
       "1  C202405  \n",
       "2  C202409  \n",
       "3  C202406  \n",
       "4  C202416  "
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "5d0d79f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas_Total</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV     SKU                                 DESCRICAO Vendas_Total  \\\n",
       "0  12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml           11   \n",
       "1  20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK            1   \n",
       "2  20858  74.103            GLAMOUR DES COL SEC BL 75ml V4            5   \n",
       "3   5699  47.950                          ZAAD EDP 95ml V6           12   \n",
       "4  20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml            2   \n",
       "\n",
       "     Ciclo  \n",
       "0  C202307  \n",
       "1  C202405  \n",
       "2  C202409  \n",
       "3  C202406  \n",
       "4  C202416  "
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#df_venda_diaria['Ciclo'] = df_venda_diaria['Ciclo'].str.replace(\"C\",\"C20\") \n",
    "\n",
    "df_venda_diaria = df_venda_diaria.rename(columns={'VENDAS_CICLO':'Vendas_Total'})\n",
    "\n",
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "a93427da",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas_Total</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV     SKU                                 DESCRICAO  Vendas_Total  \\\n",
       "0  12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml            11   \n",
       "1  20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK             1   \n",
       "2  20858  74.103            GLAMOUR DES COL SEC BL 75ml V4             5   \n",
       "3   5699  47.950                          ZAAD EDP 95ml V6            12   \n",
       "4  20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml             2   \n",
       "\n",
       "     Ciclo  \n",
       "0  C202307  \n",
       "1  C202405  \n",
       "2  C202409  \n",
       "3  C202406  \n",
       "4  C202416  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria['Vendas_Total'] = df_venda_diaria['Vendas_Total'].str.replace(',', '.', regex=False)\n",
    "\n",
    "df_venda_diaria['Vendas_Total'] = df_venda_diaria['Vendas_Total'].astype('float')\n",
    "\n",
    "df_venda_diaria['Vendas_Total'] = round(df_venda_diaria['Vendas_Total'],0)\n",
    "\n",
    "df_venda_diaria['Vendas_Total'] = df_venda_diaria['Vendas_Total'].astype(str)\n",
    "\n",
    "df_venda_diaria['Vendas_Total'] = (\n",
    "    df_venda_diaria['Vendas_Total']\n",
    "    .str.replace('.0', '', regex=False)\n",
    "    .str.replace('.', '', regex=False)\n",
    "    .astype('Int64')\n",
    ")\n",
    "\n",
    "\n",
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6ddec856",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas_Total</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
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       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV     SKU                                 DESCRICAO  Vendas_Total  \\\n",
       "0  12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml            11   \n",
       "1  20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK             1   \n",
       "2  20858  74.103            GLAMOUR DES COL SEC BL 75ml V4             5   \n",
       "3   5699  47.950                          ZAAD EDP 95ml V6            12   \n",
       "4  20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml             2   \n",
       "\n",
       "     Ciclo  \n",
       "0  C202307  \n",
       "1  C202405  \n",
       "2  C202409  \n",
       "3  C202406  \n",
       "4  C202416  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria2 = df_venda_diaria.pivot_table(\n",
    "    index=[\"PDV\", \"SKU\", \"DESCRICAO\"],\n",
    "    columns=\"Ciclo\",\n",
    "    values=\"Vendas_Total\",\n",
    "    fill_value=0\n",
    ").reset_index()\n",
    "\n",
    "# Se quiser, reorganize as colunas colocando os ciclos ao final\n",
    "df_venda_diaria.columns.name = None\n",
    "\n",
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "882e68aa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PDV', 'SKU', 'DESCRICAO', 'Vendas_Total', 'Ciclo'], dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "0c288d75",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas_Total</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663315</th>\n",
       "      <td>20996</td>\n",
       "      <td>83.039</td>\n",
       "      <td>QUASAR DES COL RUSH 100ml</td>\n",
       "      <td>1</td>\n",
       "      <td>C202415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663316</th>\n",
       "      <td>20970</td>\n",
       "      <td>52.025</td>\n",
       "      <td>BOTI BABY SAB LIQ GLIC V2 400ml</td>\n",
       "      <td>6</td>\n",
       "      <td>C202511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663317</th>\n",
       "      <td>20996</td>\n",
       "      <td>93.069</td>\n",
       "      <td>LA PIEL D/COL SPR CP PER AMBR DOUR 200ml</td>\n",
       "      <td>10</td>\n",
       "      <td>C202414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663318</th>\n",
       "      <td>13427</td>\n",
       "      <td>51.279</td>\n",
       "      <td>MAKE B BAS LIQ C/ GLYC TX 140 30g</td>\n",
       "      <td>1</td>\n",
       "      <td>C202309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663319</th>\n",
       "      <td>21278</td>\n",
       "      <td>52.014</td>\n",
       "      <td>CJ FLAC OUI EDP ICONIQUE INTENSE 3x1ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202511</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1663320 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           PDV     SKU                                 DESCRICAO  \\\n",
       "0        12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml   \n",
       "1        20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK   \n",
       "2        20858  74.103            GLAMOUR DES COL SEC BL 75ml V4   \n",
       "3         5699  47.950                          ZAAD EDP 95ml V6   \n",
       "4        20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml   \n",
       "...        ...     ...                                       ...   \n",
       "1663315  20996  83.039                 QUASAR DES COL RUSH 100ml   \n",
       "1663316  20970  52.025           BOTI BABY SAB LIQ GLIC V2 400ml   \n",
       "1663317  20996  93.069  LA PIEL D/COL SPR CP PER AMBR DOUR 200ml   \n",
       "1663318  13427  51.279         MAKE B BAS LIQ C/ GLYC TX 140 30g   \n",
       "1663319  21278  52.014    CJ FLAC OUI EDP ICONIQUE INTENSE 3x1ml   \n",
       "\n",
       "         Vendas_Total    Ciclo  \n",
       "0                  11  C202307  \n",
       "1                   1  C202405  \n",
       "2                   5  C202409  \n",
       "3                  12  C202406  \n",
       "4                   2  C202416  \n",
       "...               ...      ...  \n",
       "1663315             1  C202415  \n",
       "1663316             6  C202511  \n",
       "1663317            10  C202414  \n",
       "1663318             1  C202309  \n",
       "1663319             2  C202511  \n",
       "\n",
       "[1663320 rows x 5 columns]"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "c7ddaf20",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_venda_diaria['PDV'] = df_venda_diaria['Unidade de Negócio'].str.split(\"-\").str[0].str.strip()\n",
    "\n",
    "#df_venda_diaria['Dia'] = pd.to_datetime(df_venda_diaria['Dia'], format='%d/%m/%Y')\n",
    "\n",
    "#df_venda_diaria = pd.merge(left=df_venda_diaria,right=calendario[['Ciclo','Date']],left_on='Dia',right_on='Date',how='inner')\n",
    "\n",
    "#df_venda_diaria = df_venda_diaria.drop(columns='Date')\n",
    "\n",
    "#df_venda_diaria.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "7119556a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 'Dia' já está em formato datetime, então renomeamos para 'Data' diretamente\n",
    "# ou apenas usamos 'Dia' como referência de data\n",
    "\n",
    "# Ordena o DataFrame para garantir que a cumulativa funcione corretamente\n",
    "#df_venda_diaria = df_venda_diaria.sort_values(by=['Unidade de Negócio', 'Código do Produto', 'Dia'])\n",
    "\n",
    "# Calcula a quantidade acumulada até o dia para cada grupo\n",
    "#df_venda_diaria['Quantidade Acumulada'] = (df_venda_diaria.groupby(['Unidade de Negócio', 'Código do Produto'])['Quantidade'].cumsum())  # acumulado por grupo até a data da linha\n",
    "\n",
    "#df_venda_diaria.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "c707a1b6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_venda_diaria = df_venda_diaria.drop_duplicates()\n",
    "\n",
    "#df_venda_agrupado = df_venda_diaria.fillna(0).groupby(['PDV', 'Código do Produto','Ciclo'])['Quantidade Acumulada'].max().reset_index()\n",
    "#df_venda_agrupado"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "083ff829",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_venda_agrupado[(df_venda_agrupado['Ciclo']=='C202213')&(df_venda_agrupado['Código do Produto']==81054)&(df_venda_agrupado['PDV']=='20994')]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "59707396",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_venda_agrupado[['Ciclo','Código do Produto','PDV']].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bdf6abbb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CICLO SIMILAR      object\n",
       "PRODUTO SIMILAR     Int64\n",
       "PDV                 Int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final[['CICLO SIMILAR','PRODUTO SIMILAR','PDV']].dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "dc452c72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2291, 75)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final = pd.merge(left=df_final, right=filtered_calendario[['Ciclo','INICIO CICLO','FIM CICLO','DURAÇÃO','match','dias_ate_inicio']], right_on='match',left_on='MATCH',how='left')\n",
    "df_final.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "c260e0e3",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final = df_final.drop(columns=['PDV DESC','status','SKU','Descrição','Lançamento','Item analisado','Planograma','Quantidade por caixa'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "c9de258b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\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>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>DESCRIÇÃO SIMILAR</th>\n",
       "      <th>CICLO SIMILAR</th>\n",
       "      <th>FOCO</th>\n",
       "      <th>IAF</th>\n",
       "      <th>CATEGORIA</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>% CONSUMIDOR</th>\n",
       "      <th>...</th>\n",
       "      <th>Item analisado</th>\n",
       "      <th>Histórico de Vendas do Ciclo 202409</th>\n",
       "      <th>match_x</th>\n",
       "      <th>CRESCIMENTO</th>\n",
       "      <th>Ciclo</th>\n",
       "      <th>INICIO CICLO</th>\n",
       "      <th>FIM CICLO</th>\n",
       "      <th>DURAÇÃO</th>\n",
       "      <th>match_y</th>\n",
       "      <th>dias_ate_inicio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0154</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0341</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0138</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0595</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>Não</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>-0.0171</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 75 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "\n",
       "   PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "1            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "2            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "3            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "4            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "\n",
       "  FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ...  \\\n",
       "0  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "1  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "2  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "3  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "4  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...   \n",
       "\n",
       "  Item analisado Histórico de Vendas do Ciclo 202409 match_x CRESCIMENTO  \\\n",
       "0            Não                                 NaN     1.0     -0.0154   \n",
       "1            Não                                 NaN     1.0     -0.0341   \n",
       "2            Não                                 NaN     1.0     -0.0138   \n",
       "3            Não                                 NaN     1.0     -0.0595   \n",
       "4            Não                                 NaN     1.0     -0.0171   \n",
       "\n",
       "     Ciclo  INICIO CICLO  FIM CICLO DURAÇÃO match_y dias_ate_inicio  \n",
       "0  C202515    2025-10-13 2025-11-02      21       1              59  \n",
       "1  C202515    2025-10-13 2025-11-02      21       1              59  \n",
       "2  C202515    2025-10-13 2025-11-02      21       1              59  \n",
       "3  C202515    2025-10-13 2025-11-02      21       1              59  \n",
       "4  C202515    2025-10-13 2025-11-02      21       1              59  \n",
       "\n",
       "[5 rows x 75 columns]"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "8a05450c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(left=df_final, right=calendario[['Ciclo','INICIO CICLO','FIM CICLO','DURAÇÃO']], right_on='Ciclo',left_on='CICLO SIMILAR',how='left')\n",
    "df_final.shape\n",
    "\n",
    "df_final = df_final.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "cc65edab",
   "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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV     SKU                                 DESCRICAO  \\\n",
       "0  12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml   \n",
       "1  20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK   \n",
       "2  20858  74.103            GLAMOUR DES COL SEC BL 75ml V4   \n",
       "3   5699  47.950                          ZAAD EDP 95ml V6   \n",
       "4  20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml   \n",
       "\n",
       "   Vendas Ciclo Lançamento    Ciclo  \n",
       "0                       11  C202307  \n",
       "1                        1  C202405  \n",
       "2                        5  C202409  \n",
       "3                       12  C202406  \n",
       "4                        2  C202416  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "df_venda_diaria = df_venda_diaria.rename(columns={'Vendas_Total':'Vendas Ciclo Lançamento'})\n",
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6367ac21",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        C202315\n",
       "14       C202315\n",
       "28       C202315\n",
       "42       C202315\n",
       "56       C202315\n",
       "          ...   \n",
       "19192          0\n",
       "19193          0\n",
       "19194          0\n",
       "19195          0\n",
       "19196          0\n",
       "Name: CICLO SIMILAR, Length: 2291, dtype: object"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['CICLO SIMILAR'] = df_final['CICLO SIMILAR'].fillna('0')\n",
    "df_final['CICLO SIMILAR'] "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "b0af59cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>CICLO SIMILAR</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>PDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>C202315</td>\n",
       "      <td>52004</td>\n",
       "      <td>12522</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>C202315</td>\n",
       "      <td>52004</td>\n",
       "      <td>12817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>C202315</td>\n",
       "      <td>52004</td>\n",
       "      <td>12818</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>C202315</td>\n",
       "      <td>52004</td>\n",
       "      <td>12820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>C202315</td>\n",
       "      <td>52004</td>\n",
       "      <td>12823</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CICLO SIMILAR  PRODUTO SIMILAR    PDV\n",
       "0        C202315            52004  12522\n",
       "14       C202315            52004  12817\n",
       "28       C202315            52004  12818\n",
       "42       C202315            52004  12820\n",
       "56       C202315            52004  12823"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final[['CICLO SIMILAR','PRODUTO SIMILAR','PDV']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "72925ca7",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "df_final['PRODUTO SIMILAR'] = df_final['PRODUTO SIMILAR'].astype('Int64')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "8b0bb174",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PRODUTO LANÇAMENTO', 'DESCRIÇÃO DO LANÇAMENTO', 'PRODUTO SIMILAR',\n",
       "       'DESCRIÇÃO SIMILAR', 'CICLO SIMILAR', 'FOCO', 'IAF', 'CATEGORIA',\n",
       "       'MARCA', '% CONSUMIDOR', 'MECANICA CONSUMIDOR', '% REVENDEDOR',\n",
       "       'MECANICA REVENDEDOR', 'TIPO DE PRODUTO', 'MATCH', 'PDV', 'CANAL',\n",
       "       'DESCRIÇÃO PDV', 'PDV DESC', 'UF', 'ANALISTA', 'SUPERVISOR', 'STATUS',\n",
       "       'Classe', 'SKU', 'Descrição', 'Subcategoria', 'Lançamento',\n",
       "       'Desativação', 'Histórico de Vendas do Ciclo 202410',\n",
       "       'Histórico de Vendas do Ciclo 202411',\n",
       "       'Histórico de Vendas do Ciclo 202412',\n",
       "       'Histórico de Vendas do Ciclo 202413',\n",
       "       'Histórico de Vendas do Ciclo 202414',\n",
       "       'Histórico de Vendas do Ciclo 202415',\n",
       "       'Histórico de Vendas do Ciclo 202416',\n",
       "       'Histórico de Vendas do Ciclo 202417',\n",
       "       'Histórico de Vendas do Ciclo 202501',\n",
       "       'Histórico de Vendas do Ciclo 202502',\n",
       "       'Histórico de Vendas do Ciclo 202503',\n",
       "       'Histórico de Vendas do Ciclo 202504',\n",
       "       'Histórico de Vendas do Ciclo 202505',\n",
       "       'Histórico de Vendas do Ciclo 202506',\n",
       "       'Histórico de Vendas do Ciclo 202507',\n",
       "       'Histórico de Vendas do Ciclo 202508',\n",
       "       'Histórico de Vendas do Ciclo 202509',\n",
       "       'Histórico de Vendas do Ciclo Atual', 'Dias sem venda',\n",
       "       'Projeção Próximo Ciclo', 'Projeção Próximo Ciclo + 1',\n",
       "       'Promoção Próximo Ciclo', 'Promoção Próximo Ciclo + 1', 'Estoque Atual',\n",
       "       'Estoque em Transito', 'Pedido Pendente',\n",
       "       'Compra inteligente semanal/Sugestão de compra',\n",
       "       'Compra inteligente Próximo Ciclo',\n",
       "       'Compra inteligente Próximo Ciclo + 1', 'Item Desativado',\n",
       "       'Data Prevista Regularização', 'Carteira Bloqueada Para Novos Pedidos',\n",
       "       'Planograma', 'Quantidade por caixa', 'Preço Sell In', 'Quantidade',\n",
       "       'Item analisado', 'Histórico de Vendas do Ciclo 202409', 'match_x',\n",
       "       'CRESCIMENTO', 'Ciclo_x', 'INICIO CICLO_x', 'FIM CICLO_x', 'DURAÇÃO_x',\n",
       "       'match_y', 'dias_ate_inicio', 'Ciclo_y', 'INICIO CICLO_y',\n",
       "       'FIM CICLO_y', 'DURAÇÃO_y'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "3d924087",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0        52004\n",
       "14       52004\n",
       "28       52004\n",
       "42       52004\n",
       "56       52004\n",
       "         ...  \n",
       "19192    87771\n",
       "19193    87771\n",
       "19194    87771\n",
       "19195    87771\n",
       "19196    87771\n",
       "Name: PRODUTO SIMILAR, Length: 2291, dtype: Int64"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['PRODUTO SIMILAR']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "c34b541a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51.944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77.557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74.103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47.950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50.297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>1663315</th>\n",
       "      <td>20996</td>\n",
       "      <td>83.039</td>\n",
       "      <td>QUASAR DES COL RUSH 100ml</td>\n",
       "      <td>1</td>\n",
       "      <td>C202415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663316</th>\n",
       "      <td>20970</td>\n",
       "      <td>52.025</td>\n",
       "      <td>BOTI BABY SAB LIQ GLIC V2 400ml</td>\n",
       "      <td>6</td>\n",
       "      <td>C202511</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663317</th>\n",
       "      <td>20996</td>\n",
       "      <td>93.069</td>\n",
       "      <td>LA PIEL D/COL SPR CP PER AMBR DOUR 200ml</td>\n",
       "      <td>10</td>\n",
       "      <td>C202414</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663318</th>\n",
       "      <td>13427</td>\n",
       "      <td>51.279</td>\n",
       "      <td>MAKE B BAS LIQ C/ GLYC TX 140 30g</td>\n",
       "      <td>1</td>\n",
       "      <td>C202309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1663319</th>\n",
       "      <td>21278</td>\n",
       "      <td>52.014</td>\n",
       "      <td>CJ FLAC OUI EDP ICONIQUE INTENSE 3x1ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202511</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1663320 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           PDV     SKU                                 DESCRICAO  \\\n",
       "0        12522  51.944     COFFEE DES COL MAN SEDUC TCH PRM 10ml   \n",
       "1        20998  77.557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK   \n",
       "2        20858  74.103            GLAMOUR DES COL SEC BL 75ml V4   \n",
       "3         5699  47.950                          ZAAD EDP 95ml V6   \n",
       "4        20993  50.297               ESTJ DEM LILY ESSENCE 4x4ml   \n",
       "...        ...     ...                                       ...   \n",
       "1663315  20996  83.039                 QUASAR DES COL RUSH 100ml   \n",
       "1663316  20970  52.025           BOTI BABY SAB LIQ GLIC V2 400ml   \n",
       "1663317  20996  93.069  LA PIEL D/COL SPR CP PER AMBR DOUR 200ml   \n",
       "1663318  13427  51.279         MAKE B BAS LIQ C/ GLYC TX 140 30g   \n",
       "1663319  21278  52.014    CJ FLAC OUI EDP ICONIQUE INTENSE 3x1ml   \n",
       "\n",
       "         Vendas Ciclo Lançamento    Ciclo  \n",
       "0                             11  C202307  \n",
       "1                              1  C202405  \n",
       "2                              5  C202409  \n",
       "3                             12  C202406  \n",
       "4                              2  C202416  \n",
       "...                          ...      ...  \n",
       "1663315                        1  C202415  \n",
       "1663316                        6  C202511  \n",
       "1663317                       10  C202414  \n",
       "1663318                        1  C202309  \n",
       "1663319                        2  C202511  \n",
       "\n",
       "[1663320 rows x 5 columns]"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "1efff472",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV    SKU                                 DESCRICAO  \\\n",
       "0  12522  51944     COFFEE DES COL MAN SEDUC TCH PRM 10ml   \n",
       "1  20998  77557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK   \n",
       "2  20858  74103            GLAMOUR DES COL SEC BL 75ml V4   \n",
       "3   5699  47950                          ZAAD EDP 95ml V6   \n",
       "4  20993  50297               ESTJ DEM LILY ESSENCE 4x4ml   \n",
       "\n",
       "   Vendas Ciclo Lançamento    Ciclo  \n",
       "0                       11  C202307  \n",
       "1                        1  C202405  \n",
       "2                        5  C202409  \n",
       "3                       12  C202406  \n",
       "4                        2  C202416  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria['SKU'] = df_venda_diaria['SKU'].astype('str')\n",
    "\n",
    "df_venda_diaria['SKU'] = df_venda_diaria['SKU'].str.replace('.','')\n",
    "\n",
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "62ea79f7",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final['PRODUTO SIMILAR'] = df_final['PRODUTO SIMILAR'].astype('str')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "c5383011",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>DESCRIÇÃO SIMILAR</th>\n",
       "      <th>CICLO SIMILAR</th>\n",
       "      <th>FOCO</th>\n",
       "      <th>IAF</th>\n",
       "      <th>CATEGORIA</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>% CONSUMIDOR</th>\n",
       "      <th>...</th>\n",
       "      <th>Ciclo_x</th>\n",
       "      <th>INICIO CICLO_x</th>\n",
       "      <th>FIM CICLO_x</th>\n",
       "      <th>DURAÇÃO_x</th>\n",
       "      <th>match_y</th>\n",
       "      <th>dias_ate_inicio</th>\n",
       "      <th>Ciclo_y</th>\n",
       "      <th>INICIO CICLO_y</th>\n",
       "      <th>FIM CICLO_y</th>\n",
       "      <th>DURAÇÃO_y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>C202515</td>\n",
       "      <td>2025-10-13</td>\n",
       "      <td>2025-11-02</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 79 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0                59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "14               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "28               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "42               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "56               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "\n",
       "   PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "14           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "28           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "42           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "56           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "\n",
       "   FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ...  Ciclo_x  \\\n",
       "0   Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...  C202515   \n",
       "14  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...  C202515   \n",
       "28  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...  C202515   \n",
       "42  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...  C202515   \n",
       "56  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...  C202515   \n",
       "\n",
       "   INICIO CICLO_x FIM CICLO_x DURAÇÃO_x  match_y  dias_ate_inicio  Ciclo_y  \\\n",
       "0      2025-10-13  2025-11-02        21        1               59  C202315   \n",
       "14     2025-10-13  2025-11-02        21        1               59  C202315   \n",
       "28     2025-10-13  2025-11-02        21        1               59  C202315   \n",
       "42     2025-10-13  2025-11-02        21        1               59  C202315   \n",
       "56     2025-10-13  2025-11-02        21        1               59  C202315   \n",
       "\n",
       "   INICIO CICLO_y FIM CICLO_y DURAÇÃO_y  \n",
       "0      2023-10-16  2023-10-29      14.0  \n",
       "14     2023-10-16  2023-10-29      14.0  \n",
       "28     2023-10-16  2023-10-29      14.0  \n",
       "42     2023-10-16  2023-10-29      14.0  \n",
       "56     2023-10-16  2023-10-29      14.0  \n",
       "\n",
       "[5 rows x 79 columns]"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "c5cd5f42",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(left=df_final, right = df_venda_diaria[['PDV','SKU','Ciclo','Vendas Ciclo Lançamento']], right_on=['Ciclo','SKU','PDV'],left_on=['CICLO SIMILAR','PRODUTO SIMILAR','PDV'],how='left')\n",
    "\n",
    "df_final = df_final.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "4f22b782",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>DESCRIÇÃO SIMILAR</th>\n",
       "      <th>CICLO SIMILAR</th>\n",
       "      <th>FOCO</th>\n",
       "      <th>IAF</th>\n",
       "      <th>CATEGORIA</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>% CONSUMIDOR</th>\n",
       "      <th>...</th>\n",
       "      <th>DURAÇÃO_x</th>\n",
       "      <th>match_y</th>\n",
       "      <th>dias_ate_inicio</th>\n",
       "      <th>Ciclo_y</th>\n",
       "      <th>INICIO CICLO_y</th>\n",
       "      <th>FIM CICLO_y</th>\n",
       "      <th>DURAÇÃO_y</th>\n",
       "      <th>SKU_y</th>\n",
       "      <th>Ciclo</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
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       "      <td>59823</td>\n",
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       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
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       "      <td>C202315</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
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       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
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       "      <td>21</td>\n",
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       "      <td>59</td>\n",
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       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
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       "    <tr>\n",
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       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>59</td>\n",
       "      <td>C202315</td>\n",
       "      <td>2023-10-16</td>\n",
       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
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       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
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       "      <td>2023-10-29</td>\n",
       "      <td>14.0</td>\n",
       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 82 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "\n",
       "  PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "1           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "2           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "3           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "4           52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "\n",
       "  FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ... DURAÇÃO_x  \\\n",
       "0  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "1  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "2  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "3  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "4  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "\n",
       "  match_y dias_ate_inicio  Ciclo_y  INICIO CICLO_y  FIM CICLO_y DURAÇÃO_y  \\\n",
       "0       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "1       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "2       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "3       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "4       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "\n",
       "   SKU_y    Ciclo Vendas Ciclo Lançamento  \n",
       "0  52004  C202315                      22  \n",
       "1  52004  C202315                      36  \n",
       "2  52004  C202315                       9  \n",
       "3  52004  C202315                       5  \n",
       "4  52004  C202315                      28  \n",
       "\n",
       "[5 rows x 82 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "db516beb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_excel(r'C:\\Users\\joao.herculano\\Documents\\teste.xlsx',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "bde12ed6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_final[df_final['PRODUTO LANÇAMENTO'].notna()]\n",
    "df_final['Vendas Ciclo Lançamento'] = df_final['Vendas Ciclo Lançamento'].fillna(0)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "69c88d20",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.int64(29)"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['PDV'].value_counts().min()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f5206f50",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Histórico de Vendas do Ciclo 202410',\n",
       "       'Histórico de Vendas do Ciclo 202411',\n",
       "       'Histórico de Vendas do Ciclo 202412',\n",
       "       'Histórico de Vendas do Ciclo 202413',\n",
       "       'Histórico de Vendas do Ciclo 202414',\n",
       "       'Histórico de Vendas do Ciclo 202415',\n",
       "       'Histórico de Vendas do Ciclo 202416',\n",
       "       'Histórico de Vendas do Ciclo 202417',\n",
       "       'Histórico de Vendas do Ciclo 202501',\n",
       "       'Histórico de Vendas do Ciclo 202502',\n",
       "       'Histórico de Vendas do Ciclo 202503',\n",
       "       'Histórico de Vendas do Ciclo 202504',\n",
       "       'Histórico de Vendas do Ciclo 202505',\n",
       "       'Histórico de Vendas do Ciclo 202506',\n",
       "       'Histórico de Vendas do Ciclo 202507',\n",
       "       'Histórico de Vendas do Ciclo 202508',\n",
       "       'Histórico de Vendas do Ciclo 202509'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns[29:46]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "5e33d293",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_jacobina = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\REGIÃO JACOBINA\\draft unificado.xlsx\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "4d23ff5a",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_jacobina = df_jacobina[['PDV', 'SKU','202408', '202409',\n",
    "       '202410', '202411', '202412', '202413', '202414', '202415', '202416',\n",
    "       '202417', '202501', '202502', '202503', '202504', '202505', '202506',\n",
    "       '202507']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "5adc5831",
   "metadata": {},
   "outputs": [],
   "source": [
    "ciclos = [\n",
    "    '202408', '202409', '202410', '202411', '202412', '202413',\n",
    "    '202414', '202415', '202416', '202417', '202501', '202502',\n",
    "    '202503', '202504', '202505', '202506', '202507']\n",
    "\n",
    "df_jacobina[ciclos] = df_jacobina[ciclos].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "d3dc8c38",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>202408</th>\n",
       "      <th>202409</th>\n",
       "      <th>202410</th>\n",
       "      <th>202411</th>\n",
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       "      <th>202504</th>\n",
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       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>24269</td>\n",
       "      <td>49016</td>\n",
       "      <td>36</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>24268</td>\n",
       "      <td>49016</td>\n",
       "      <td>12</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>24269</td>\n",
       "      <td>48141</td>\n",
       "      <td>32</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>95</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>41</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>4</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV    SKU  202408  202409  202410  202411  202412  202413  202414  \\\n",
       "0  24269  49014       1       0       5       1       1       1       2   \n",
       "1  24268  49014       1       0       4       4       2       5       1   \n",
       "2  24269  49016      36       3       1       1       1       0      14   \n",
       "3  24268  49016      12       3       1       2       2       2       0   \n",
       "4  24269  48141      32       2       3      95       3       2      41   \n",
       "\n",
       "   202415  202416  202417  202501  202502  202503  202504  202505  202506  \\\n",
       "0       2       1       1       3       0       4       0       2       1   \n",
       "1       3       4       4       3       0       2       4       2       0   \n",
       "2       2       2       1       1      19       1       2       2      10   \n",
       "3       0       3      11       4       3       0       4       2       1   \n",
       "4       3       3       1       1       1       0      67       4      10   \n",
       "\n",
       "   202507  \n",
       "0       0  \n",
       "1       1  \n",
       "2       0  \n",
       "3       0  \n",
       "4       2  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_jacobina.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "4169aba0",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>PRODUTO SIMILAR</th>\n",
       "      <th>DESCRIÇÃO SIMILAR</th>\n",
       "      <th>CICLO SIMILAR</th>\n",
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       "      <th>DURAÇÃO_y</th>\n",
       "      <th>SKU_y</th>\n",
       "      <th>Ciclo</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
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       "      <td>C202315</td>\n",
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       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
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       "      <td>CUIDADOS COM A PELE</td>\n",
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       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
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       "      <td>52004</td>\n",
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       "      <td>Sim</td>\n",
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       "      <td>14.0</td>\n",
       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
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       "      <td>59823</td>\n",
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       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
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       "      <td>52004</td>\n",
       "      <td>C202315</td>\n",
       "      <td>28</td>\n",
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       "</table>\n",
       "<p>5 rows × 82 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "\n",
       "   PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "1            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "2            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "3            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "4            52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "\n",
       "  FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ... DURAÇÃO_x  \\\n",
       "0  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "1  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "2  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "3  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "4  Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...        21   \n",
       "\n",
       "  match_y dias_ate_inicio  Ciclo_y  INICIO CICLO_y  FIM CICLO_y DURAÇÃO_y  \\\n",
       "0       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "1       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "2       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "3       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "4       1              59  C202315      2023-10-16   2023-10-29      14.0   \n",
       "\n",
       "   SKU_y    Ciclo Vendas Ciclo Lançamento  \n",
       "0  52004  C202315                      22  \n",
       "1  52004  C202315                      36  \n",
       "2  52004  C202315                       9  \n",
       "3  52004  C202315                       5  \n",
       "4  52004  C202315                      28  \n",
       "\n",
       "[5 rows x 82 columns]"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['PRODUTO SIMILAR'] = df_final['PRODUTO SIMILAR'].astype('Int64')\n",
    "\n",
    "df_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "1c4f5d9d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(left=df_final,right=df_jacobina,left_on=['PRODUTO SIMILAR','PDV'],right_on=['SKU','PDV'],how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "2529e624",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Gera pares de colunas: coluna estática ↔ coluna de histórico\n",
    "pares_validos = [\n",
    "    (ciclo, f'Histórico de Vendas do Ciclo {ciclo}')\n",
    "    for ciclo in ciclos\n",
    "    if ciclo in df_final.columns and f'Histórico de Vendas do Ciclo {ciclo}' in df_final.columns\n",
    "]\n",
    "\n",
    "# Separa os nomes das colunas\n",
    "colunas_estaticas = [c[0] for c in pares_validos]\n",
    "colunas_historico = [c[1] for c in pares_validos]\n",
    "\n",
    "# Aplica a regra: se valor na coluna estática for maior, sobrescreve no histórico\n",
    "for col_estatica, col_hist in zip(colunas_estaticas, colunas_historico):\n",
    "    df_final[col_hist] = df_final[col_estatica].where(\n",
    "        df_final[col_estatica] > df_final[col_hist],\n",
    "        df_final[col_hist]\n",
    "    )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "fc094fae",
   "metadata": {},
   "outputs": [
    {
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       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>52004</td>\n",
       "      <td>NSPA LOC RAD DES HID CPO AMEI DOUR 400ml</td>\n",
       "      <td>C202315</td>\n",
       "      <td>Sim</td>\n",
       "      <td>Sim</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>31,07 | 39,52</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\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>2286</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2287</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2288</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2289</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2290</th>\n",
       "      <td>87771</td>\n",
       "      <td>MAKE B BLUSH COMP BERRY MINI PRM 1,5g</td>\n",
       "      <td>87771</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>Não</td>\n",
       "      <td>Não</td>\n",
       "      <td>SUPORTE À VENDA</td>\n",
       "      <td>MAKE B.</td>\n",
       "      <td>-</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2291 rows × 100 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4                  59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "...                  ...                                                ...   \n",
       "2286               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2287               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2288               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2289               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "2290               87771              MAKE B BLUSH COMP BERRY MINI PRM 1,5g   \n",
       "\n",
       "      PRODUTO SIMILAR                         DESCRIÇÃO SIMILAR CICLO SIMILAR  \\\n",
       "0               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "1               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "2               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "3               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "4               52004  NSPA LOC RAD DES HID CPO AMEI DOUR 400ml       C202315   \n",
       "...               ...                                       ...           ...   \n",
       "2286            87771                                         0             0   \n",
       "2287            87771                                         0             0   \n",
       "2288            87771                                         0             0   \n",
       "2289            87771                                         0             0   \n",
       "2290            87771                                         0             0   \n",
       "\n",
       "     FOCO  IAF            CATEGORIA       MARCA   % CONSUMIDOR  ... 202415  \\\n",
       "0     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...    NaN   \n",
       "1     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...    NaN   \n",
       "2     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...    NaN   \n",
       "3     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...    NaN   \n",
       "4     Sim  Sim  CUIDADOS COM A PELE  NATIVA SPA  31,07 | 39,52  ...    NaN   \n",
       "...   ...  ...                  ...         ...            ...  ...    ...   \n",
       "2286  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...    NaN   \n",
       "2287  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...    NaN   \n",
       "2288  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...    NaN   \n",
       "2289  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...    NaN   \n",
       "2290  Não  Não      SUPORTE À VENDA     MAKE B.              -  ...    NaN   \n",
       "\n",
       "     202416 202417 202501  202502  202503 202504 202505 202506 202507  \n",
       "0       NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "1       NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "2       NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "3       NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "4       NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "...     ...    ...    ...     ...     ...    ...    ...    ...    ...  \n",
       "2286    NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "2287    NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "2288    NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "2289    NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "2290    NaN    NaN    NaN     NaN     NaN    NaN    NaN    NaN    NaN  \n",
       "\n",
       "[2291 rows x 100 columns]"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "dcff1fcb",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joao.herculano\\AppData\\Local\\Temp\\ipykernel_101180\\260461722.py:1: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set `pd.set_option('future.no_silent_downcasting', True)`\n",
      "  df_final = df_final.fillna(0)\n"
     ]
    }
   ],
   "source": [
    "df_final = df_final.fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "0a1bb832",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "np.float64(0.2267)"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Suponha que os meses estão nas colunas 10 a 26 (17 colunas = 17 meses)\n",
    "colunas_mensais = df_final.columns[29:46]\n",
    "\n",
    "# Passo 1: Soma todas as linhas (itens) por mês → resultado: total por mês\n",
    "soma_mensal = df_final[colunas_mensais].sum()\n",
    "\n",
    "# Passo 2: Calcula a variação percentual de um mês para o outro\n",
    "variacao_mensal = soma_mensal.pct_change()\n",
    "variacao_mensal = variacao_mensal.dropna()\n",
    "\n",
    "variacao_mensal = variacao_mensal[np.isfinite(variacao_mensal)]\n",
    "\n",
    "# Passo 3: Calcula a média da variação (ignorando o primeiro NaN)\n",
    "media_variacao = variacao_mensal[1:].mean()\n",
    "\n",
    "# Calcula média e desvio padrão\n",
    "media = variacao_mensal.mean()\n",
    "desvio = variacao_mensal.std()\n",
    "\n",
    "# Define limite (ex: 2 desvios padrão)\n",
    "limite_superior = media + 2 * desvio\n",
    "limite_inferior = media - 2 * desvio\n",
    "\n",
    "# Filtra dados dentro do limite\n",
    "filtro = variacao_mensal.between(limite_inferior, limite_superior)\n",
    "df_filtrado = variacao_mensal[filtro]\n",
    "CRESCIMENTO = round(df_filtrado.mean(),4)\n",
    "\n",
    "CRESCIMENTO = 0.2 if CRESCIMENTO < 0.2 else CRESCIMENTO\n",
    "\n",
    "df_final['CRESCIMENTO_GERAL'] = CRESCIMENTO\n",
    "\n",
    "CRESCIMENTO\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "a9647c32",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_final.drop(columns='Ciclo_y')\n",
    "\n",
    "df_final = df_final.rename(columns={'Ciclo_x': 'Ciclo',\t'INICIO CICLO_x': 'INICIO CICLO',\t'FIM CICLO_x':'FIM CICLO' ,'DURAÇÃO_x':'DURAÇÃO',\n",
    "                                    \t'INICIO CICLO_y': 'INICIO CICLO SIMILAR' ,\t'FIM CICLO_y': 'FIM CICLO SIMILAR','DURAÇÃO_y':'DURAÇÃO CICLO SIMILAR'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "b107e519",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Histórico de Vendas do Ciclo 202504',\n",
       "       'Histórico de Vendas do Ciclo 202505',\n",
       "       'Histórico de Vendas do Ciclo 202506',\n",
       "       'Histórico de Vendas do Ciclo 202507',\n",
       "       'Histórico de Vendas do Ciclo 202508',\n",
       "       'Histórico de Vendas do Ciclo 202509',\n",
       "       'Histórico de Vendas do Ciclo Atual'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns[40:47]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "8290853c",
   "metadata": {},
   "outputs": [],
   "source": [
    "VENDA_SIMILAR_6_MESES= df_final.columns[40:47]\n",
    "\n",
    "df_final['Pico Vendas Similar Ultimos 6 ciclos'] = df_final[VENDA_SIMILAR_6_MESES].max(axis=1)\n",
    "\n",
    "df_final['Pico Vendas Similar Ultimos 6 ciclos'] = df_final['Pico Vendas Similar Ultimos 6 ciclos'].fillna(0)\n",
    "\n",
    "df_final['MEDIANA DO HISTÓRICO'] = df_final[colunas_mensais].median(axis=1, skipna=True)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "d8b30560",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       2.0\n",
       "1       2.0\n",
       "2       0.0\n",
       "3       0.0\n",
       "4       1.0\n",
       "       ... \n",
       "2286    0.0\n",
       "2287    0.0\n",
       "2288    0.0\n",
       "2289    0.0\n",
       "2290    0.0\n",
       "Length: 2291, dtype: float64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final[colunas_mensais].median(axis=1, skipna=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "07f043f2",
   "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>CANAL</th>\n",
       "      <th>UF</th>\n",
       "      <th>med_por_canal</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CD</td>\n",
       "      <td>AL</td>\n",
       "      <td>618.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>HIB</td>\n",
       "      <td>AL</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>HIB</td>\n",
       "      <td>BA</td>\n",
       "      <td>96.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>HIB</td>\n",
       "      <td>BA3</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>HIB</td>\n",
       "      <td>SE</td>\n",
       "      <td>42.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>87.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>LJ</td>\n",
       "      <td>BA</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>LJ</td>\n",
       "      <td>BA3</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>LJ</td>\n",
       "      <td>SE</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>VD</td>\n",
       "      <td>AL</td>\n",
       "      <td>202.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>VD</td>\n",
       "      <td>BA</td>\n",
       "      <td>205.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VD</td>\n",
       "      <td>BA3</td>\n",
       "      <td>47.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>VD</td>\n",
       "      <td>SE</td>\n",
       "      <td>164.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CANAL   UF  med_por_canal\n",
       "0     CD   AL          618.0\n",
       "1    HIB   AL           50.0\n",
       "2    HIB   BA           96.0\n",
       "3    HIB  BA3            0.0\n",
       "4    HIB   SE           42.0\n",
       "5     LJ   AL           87.0\n",
       "6     LJ   BA           25.0\n",
       "7     LJ  BA3           19.0\n",
       "8     LJ   SE           20.0\n",
       "9     VD   AL          202.0\n",
       "10    VD   BA          205.0\n",
       "11    VD  BA3           47.0\n",
       "12    VD   SE          164.0"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "medi = df_final.groupby(['CANAL','UF'])['MEDIANA DO HISTÓRICO'].max().reset_index()\n",
    "medi = medi.rename(columns={'MEDIANA DO HISTÓRICO':'med_por_canal'})\n",
    "medi"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "94abddce",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_final = pd.merge(left=df_final, right=medi,on=['CANAL','UF'],how='inner')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "c4fbc613",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       LANÇAMENTO\n",
       "1       LANÇAMENTO\n",
       "2       LANÇAMENTO\n",
       "3       LANÇAMENTO\n",
       "4       LANÇAMENTO\n",
       "           ...    \n",
       "2286      PROMOÇÃO\n",
       "2287      PROMOÇÃO\n",
       "2288      PROMOÇÃO\n",
       "2289      PROMOÇÃO\n",
       "2290      PROMOÇÃO\n",
       "Name: TIPO DE PRODUTO, Length: 2291, dtype: object"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['TIPO DE PRODUTO']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "df26720c",
   "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>PDV</th>\n",
       "      <th>SKU</th>\n",
       "      <th>DESCRICAO</th>\n",
       "      <th>Vendas Ciclo Lançamento</th>\n",
       "      <th>Ciclo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12522</td>\n",
       "      <td>51944</td>\n",
       "      <td>COFFEE DES COL MAN SEDUC TCH PRM 10ml</td>\n",
       "      <td>11</td>\n",
       "      <td>C202307</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20998</td>\n",
       "      <td>77557</td>\n",
       "      <td>QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK</td>\n",
       "      <td>1</td>\n",
       "      <td>C202405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20858</td>\n",
       "      <td>74103</td>\n",
       "      <td>GLAMOUR DES COL SEC BL 75ml V4</td>\n",
       "      <td>5</td>\n",
       "      <td>C202409</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5699</td>\n",
       "      <td>47950</td>\n",
       "      <td>ZAAD EDP 95ml V6</td>\n",
       "      <td>12</td>\n",
       "      <td>C202406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20993</td>\n",
       "      <td>50297</td>\n",
       "      <td>ESTJ DEM LILY ESSENCE 4x4ml</td>\n",
       "      <td>2</td>\n",
       "      <td>C202416</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     PDV    SKU                                 DESCRICAO  \\\n",
       "0  12522  51944     COFFEE DES COL MAN SEDUC TCH PRM 10ml   \n",
       "1  20998  77557  QDB BASE LIQ SUPERMAT COR 06 Q 30ml RPCK   \n",
       "2  20858  74103            GLAMOUR DES COL SEC BL 75ml V4   \n",
       "3   5699  47950                          ZAAD EDP 95ml V6   \n",
       "4  20993  50297               ESTJ DEM LILY ESSENCE 4x4ml   \n",
       "\n",
       "   Vendas Ciclo Lançamento    Ciclo  \n",
       "0                       11  C202307  \n",
       "1                        1  C202405  \n",
       "2                        5  C202409  \n",
       "3                       12  C202406  \n",
       "4                        2  C202416  "
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_venda_diaria.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "ef979be5",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_dourado = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\DADOS DOURADO\\VENDA\\compilado de vendas.xlsx\")\n",
    "\n",
    "df_dourado['Data de venda'] = pd.to_datetime(df_dourado['Data de venda'], dayfirst=True)\n",
    "\n",
    "df_dourado['de para pdv'] = df_dourado['de para pdv'].astype(str)\n",
    "\n",
    "df_dourado['de para pdv'] = df_dourado['de para pdv'].str.replace(r'\\.0$', '', regex=True)\n",
    "\n",
    "# 'Dia' já está em formato datetime, então renomeamos para 'Data' diretamente\n",
    "# ou apenas usamos 'Dia' como referência de data\n",
    "\n",
    "# Ordena o DataFrame para garantir que a cumulativa funcione corretamente\n",
    "df_venda_diaria = df_venda_diaria.sort_values(by=['PDV', 'SKU', 'Ciclo'])\n",
    "\n",
    "# Calcula a quantidade acumulada até o dia para cada grupo\n",
    "df_dourado['Quantidade Acumulada dourado'] = (\n",
    "    df_dourado\n",
    "    .groupby(['de para pdv', 'sku'])['Quantidade Vendida']\n",
    "    .cumsum()\n",
    ")  # acumulado por grupo até a data da linha\n",
    "\n",
    "df_dourado = pd.merge(left=df_dourado,right=calendario[['Date','Ciclo']],left_on='Data de venda',right_on='Date',how='inner')\n",
    "\n",
    "\n",
    "\n",
    "df_dourado_agrupado = df_dourado.groupby(['de para pdv','sku','Ciclo'])['Quantidade Acumulada dourado'].max().reset_index()\n",
    "\n",
    "df_dourado_agrupado = df_dourado_agrupado.rename(columns={'Ciclo':'Ciclo dourado'})\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "41eb7ebf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    12522\n",
       "1    12817\n",
       "2    12818\n",
       "3    12820\n",
       "4    12823\n",
       "Name: PDV, dtype: object"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['PDV'] = df_final['PDV'].astype(str)\n",
    "df_final['PDV'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "6dbe67bb",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(left=df_final, right = df_dourado_agrupado, right_on=['Ciclo dourado','sku','de para pdv'],left_on=['CICLO SIMILAR','PRODUTO SIMILAR','PDV'],how='left')\n",
    "\n",
    "df_final['Quantidade Acumulada dourado'] = df_final['Quantidade Acumulada dourado'].fillna(0)\n",
    "\n",
    "\n",
    "df_final['Vendas Ciclo Lançamento'] = np.where(df_final['Quantidade Acumulada dourado'] > 0, df_final['Quantidade Acumulada dourado'], df_final['Vendas Ciclo Lançamento'])\n",
    "\n",
    "df_final = df_final.drop(columns='Quantidade Acumulada dourado')\n",
    "\n",
    "\n",
    "df_final = df_final.drop(columns='Ciclo dourado')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "7986b8fa",
   "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>CP VIVA BEM</th>\n",
       "      <th>Protheus</th>\n",
       "      <th>PDVDEPARA.Practico</th>\n",
       "      <th>Canal</th>\n",
       "      <th>Endereço</th>\n",
       "      <th>CNPJ</th>\n",
       "      <th>CNPJ Locação</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3559</td>\n",
       "      <td>70101.0</td>\n",
       "      <td>23713.0</td>\n",
       "      <td>MATRIZ - LJ</td>\n",
       "      <td>Rua Zeferino Correia, nº 17, Centro, CEP 45.00...</td>\n",
       "      <td>14.378.160/0001-83</td>\n",
       "      <td>14.378.160/0001-83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7292</td>\n",
       "      <td>70103.0</td>\n",
       "      <td>23712.0</td>\n",
       "      <td>LOJA</td>\n",
       "      <td>Al. Rio Branco, nº 373, Centro, Cândido Sales ...</td>\n",
       "      <td>14.378.160/0006-98</td>\n",
       "      <td>14.378.160/0006-98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>8708</td>\n",
       "      <td>70102.0</td>\n",
       "      <td>23711.0</td>\n",
       "      <td>VD</td>\n",
       "      <td>Al. Lima Guerra, nº 04, Centro, Vitória da Con...</td>\n",
       "      <td>14.378.160/0005-07</td>\n",
       "      <td>14.378.160/0001-83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>8931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>23710.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Avenida Rosa Cruz, nº 80, Hiper B Preço Loja B...</td>\n",
       "      <td>14.378.160/0008-50</td>\n",
       "      <td>14.378.160/0008-50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>11191</td>\n",
       "      <td>70108.0</td>\n",
       "      <td>23709.0</td>\n",
       "      <td>LOJA</td>\n",
       "      <td>Av. Juracy Magalhães, nº 3340, Shopping Conqui...</td>\n",
       "      <td>14.378.160/0009-30</td>\n",
       "      <td>14.378.160/0001-83</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   CP VIVA BEM  Protheus  PDVDEPARA.Practico        Canal  \\\n",
       "0         3559   70101.0             23713.0  MATRIZ - LJ   \n",
       "1         7292   70103.0             23712.0         LOJA   \n",
       "2         8708   70102.0             23711.0           VD   \n",
       "3         8931       NaN             23710.0          NaN   \n",
       "4        11191   70108.0             23709.0         LOJA   \n",
       "\n",
       "                                            Endereço                CNPJ  \\\n",
       "0  Rua Zeferino Correia, nº 17, Centro, CEP 45.00...  14.378.160/0001-83   \n",
       "1  Al. Rio Branco, nº 373, Centro, Cândido Sales ...  14.378.160/0006-98   \n",
       "2  Al. Lima Guerra, nº 04, Centro, Vitória da Con...  14.378.160/0005-07   \n",
       "3  Avenida Rosa Cruz, nº 80, Hiper B Preço Loja B...  14.378.160/0008-50   \n",
       "4  Av. Juracy Magalhães, nº 3340, Shopping Conqui...  14.378.160/0009-30   \n",
       "\n",
       "         CNPJ Locação  \n",
       "0  14.378.160/0001-83  \n",
       "1  14.378.160/0006-98  \n",
       "2  14.378.160/0001-83  \n",
       "3  14.378.160/0008-50  \n",
       "4  14.378.160/0001-83  "
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_depara_vdc = pd.read_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\Vitoria da Conquista\\HISTORICO VENDAS VITORIA DA CONQUISTA\\Filiais - Vitoria da Conquista 4.xlsx\")\n",
    "\n",
    "df_depara_vdc.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "09efe938",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vdc = pd.read_parquet(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\Vitoria da Conquista\\HISTORICO VENDAS VITORIA DA CONQUISTA\\VENDAS VITORIA DA CONQUISTA\\concatenado.parquet\")\n",
    "\n",
    "df_vdc['PDV'] = df_vdc['Quebra'].str.split(\" -\").str[0]\n",
    "\n",
    "df_vdc['PDV'] = df_vdc['PDV'].astype('int64')\n",
    "\n",
    "df_vdc = df_vdc.rename(columns={'Quebra2':'DATA VENDA'})\n",
    "\n",
    "df_vdc['DATA VENDA'] = pd.to_datetime(df_vdc['DATA VENDA'], format='%d/%m/%Y')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "330154b2",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vdc = pd.merge(df_vdc,df_depara_vdc[['CP VIVA BEM','PDVDEPARA.Practico']],left_on='PDV',right_on='CP VIVA BEM',how='inner')\n",
    "\n",
    "df_vdc['Quantidade'] = df_vdc['Quantidade'].str.replace(r',000$','',regex=True)\n",
    "\n",
    "df_vdc['Quantidade'] = df_vdc['Quantidade'].astype('Int64') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "09cc2f82",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "\n",
    "\n",
    "# 'Dia' já está em formato datetime, então renomeamos para 'Data' diretamente\n",
    "# ou apenas usamos 'Dia' como referência de data\n",
    "\n",
    "# Ordena o DataFrame para garantir que a cumulativa funcione corretamente\n",
    "#df_venda_diaria = df_venda_diaria.sort_values(by=['PDV', 'SKU', 'Ciclo'])\n",
    "\n",
    "# Calcula a quantidade acumulada até o dia para cada grupo\n",
    "df_vdc['Quantidade Acumulada vdc'] = (\n",
    "    df_vdc\n",
    "    .groupby(['PDVDEPARA.Practico', 'Código'])['Quantidade']\n",
    "    .cumsum()\n",
    ")  # acumulado por grupo até a data da linha"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "5a827c08",
   "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>PDVDEPARA.Practico</th>\n",
       "      <th>Código</th>\n",
       "      <th>Ciclo vdc</th>\n",
       "      <th>Quantidade Acumulada vdc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23701</td>\n",
       "      <td>1004</td>\n",
       "      <td>C202203</td>\n",
       "      <td>139.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23701</td>\n",
       "      <td>1004</td>\n",
       "      <td>C202204</td>\n",
       "      <td>161.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>23701</td>\n",
       "      <td>1004</td>\n",
       "      <td>C202205</td>\n",
       "      <td>162.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>23701</td>\n",
       "      <td>1004</td>\n",
       "      <td>C202206</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>23701</td>\n",
       "      <td>1004</td>\n",
       "      <td>C202207</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  PDVDEPARA.Practico  Código Ciclo vdc  Quantidade Acumulada vdc\n",
       "0              23701    1004   C202203                     139.0\n",
       "1              23701    1004   C202204                     161.0\n",
       "2              23701    1004   C202205                     162.0\n",
       "3              23701    1004   C202206                       9.0\n",
       "4              23701    1004   C202207                      15.0"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vdc = pd.merge(left=df_vdc,right=calendario[['Date','Ciclo']],left_on='DATA VENDA',right_on='Date',how='inner')\n",
    "\n",
    "df_vdc_agrupado = df_vdc.groupby(['PDVDEPARA.Practico',\t'Código','Ciclo'])['Quantidade Acumulada vdc'].max().reset_index()\n",
    "\n",
    "df_vdc_agrupado = df_vdc_agrupado.rename(columns={'Ciclo':'Ciclo vdc'})\n",
    "\n",
    "\n",
    "df_vdc_agrupado['PDVDEPARA.Practico'] = df_vdc_agrupado['PDVDEPARA.Practico'].astype(str).str.replace(r'\\.0$', '', regex=True)\n",
    "df_vdc_agrupado.head()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "4933b6d2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\joao.herculano\\AppData\\Local\\Temp\\ipykernel_101180\\3455958411.py:3: FutureWarning: DataFrame.replace without 'value' and with non-dict-like 'to_replace' is deprecated and will raise in a future version. Explicitly specify the new values instead.\n",
      "  df_vdc_agrupado = df_vdc_agrupado.replace()\n"
     ]
    }
   ],
   "source": [
    "df_vdc_agrupado = df_vdc_agrupado.astype(str)\n",
    "\n",
    "df_vdc_agrupado = df_vdc_agrupado.replace()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "8d5f2c33",
   "metadata": {},
   "outputs": [],
   "source": [
    "#df_vdc.to_excel(r\"C:\\Users\\joao.herculano\\Documents\\df_vdc.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "63fea2ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    23701\n",
       "1    23701\n",
       "2    23701\n",
       "3    23701\n",
       "4    23701\n",
       "Name: PDVDEPARA.Practico, dtype: object"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vdc_agrupado['PDVDEPARA.Practico'] = df_vdc_agrupado['PDVDEPARA.Practico'].astype(str)\n",
    "\n",
    "df_vdc_agrupado['PDVDEPARA.Practico'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "84b5917c",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final['PRODUTO SIMILAR'] = df_final['PRODUTO SIMILAR'].astype('Int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "ca911bd1",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vdc_agrupado['Código'] = df_vdc_agrupado['Código'].astype('Int64')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "8ec14143",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = pd.merge(left=df_final, right = df_vdc_agrupado, right_on=['Ciclo vdc','Código','PDVDEPARA.Practico'],left_on=['CICLO SIMILAR','PRODUTO SIMILAR','PDV'],how='left')\n",
    "\n",
    "df_final['Quantidade Acumulada vdc'] = pd.to_numeric(\n",
    "    df_final['Quantidade Acumulada vdc'],\n",
    "    errors='coerce'  # valores inválidos viram NaN\n",
    ").fillna(0).astype('Int64')\n",
    "\n",
    "\n",
    "df_final['Vendas Ciclo Lançamento'] = np.where(df_final['Quantidade Acumulada vdc'] > 0, df_final['Quantidade Acumulada vdc'], df_final['Vendas Ciclo Lançamento'])\n",
    "\n",
    "df_final = df_final.drop(columns='Quantidade Acumulada vdc')\n",
    "\n",
    "\n",
    "df_final = df_final.drop(columns='Ciclo vdc')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "1a625e69",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2291, 108)"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# Cálculo do crescimento\n",
    "crescimento_final = df_final['CRESCIMENTO_GERAL'] + df_final['CRESCIMENTO']\n",
    "crescimento_final = crescimento_final.clip(lower=0.2, upper=0.8)  # limita entre 0 e 0.8\n",
    "df_final['CRESCIMENTO_FINAL'] = crescimento_final\n",
    "\n",
    "df_final['CRESCIMENTO_FINAL'] = np.where(df_final['CRESCIMENTO_FINAL'].isna(),df_final['CRESCIMENTO_GERAL'],df_final['CRESCIMENTO_FINAL'])\n",
    "\n",
    "df_final['CRESCIMENTO_FINAL'] = df_final['CRESCIMENTO_FINAL'].fillna(0)\n",
    "\n",
    "df_final['MEDIANA DO HISTÓRICO'] = df_final['MEDIANA DO HISTÓRICO'].fillna(0)\n",
    "\n",
    "# Corrige mediana do histórico onde for zero\n",
    "df_final['MEDIANA DO HISTÓRICO'] = np.where(\n",
    "    df_final['MEDIANA DO HISTÓRICO'] == 0,\n",
    "    0,\n",
    "    df_final['MEDIANA DO HISTÓRICO']\n",
    ")\n",
    "\n",
    "df_final['MEDIANA DO HISTÓRICO'] = df_final['MEDIANA DO HISTÓRICO'].fillna(0)\n",
    "\n",
    "\n",
    "\n",
    "# Cálculo do PV GINSENG\n",
    "pv_crescimento = (df_final['CRESCIMENTO_FINAL']+1) * df_final['Vendas Ciclo Lançamento']\n",
    "pv_mediana = (df_final['CRESCIMENTO_FINAL'] + 1) * df_final['MEDIANA DO HISTÓRICO']\n",
    "\n",
    "df_final['PV GINSENG'] = np.where(\n",
    "    pv_crescimento < df_final['MEDIANA DO HISTÓRICO'],\n",
    "    pv_mediana.round(0),\n",
    "    pv_crescimento.round(0)\n",
    ")\n",
    "\n",
    "# Se PV GINSENG for NA, substitui pela média por canal\n",
    "df_final['PV GINSENG'] = df_final['PV GINSENG'].fillna(0)\n",
    "\n",
    "df_final['PV GINSENG'] = df_final['PV GINSENG'].round(0).astype(int)\n",
    "\n",
    "df_final.shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "cfdae71d",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_excel(r\"C:\\Users\\joao.herculano\\GRUPO GINSENG\\Assistência Suprimentos - 2025\\SUPRIMENTOS\\BD_LANÇAMENTOS\\BOT\\BOT - C12\\LANÇAMENTOS\\validação.xlsx\",index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "ad10c069",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['Histórico de Vendas do Ciclo 202411',\n",
      "       'Histórico de Vendas do Ciclo 202412',\n",
      "       'Histórico de Vendas do Ciclo 202413',\n",
      "       'Histórico de Vendas do Ciclo 202414',\n",
      "       'Histórico de Vendas do Ciclo 202415',\n",
      "       'Histórico de Vendas do Ciclo 202416',\n",
      "       'Histórico de Vendas do Ciclo 202417',\n",
      "       'Histórico de Vendas do Ciclo 202501',\n",
      "       'Histórico de Vendas do Ciclo 202502',\n",
      "       'Histórico de Vendas do Ciclo 202503',\n",
      "       'Histórico de Vendas do Ciclo 202504',\n",
      "       'Histórico de Vendas do Ciclo 202505',\n",
      "       'Histórico de Vendas do Ciclo 202506'],\n",
      "      dtype='object')\n"
     ]
    }
   ],
   "source": [
    "print(df_final.columns[30:43])\n",
    "\n",
    "df_final.drop(columns=df_final.columns[30:43],inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "3b7f3a82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Histórico de Vendas do Ciclo 202410',\n",
       "       'Histórico de Vendas do Ciclo 202507',\n",
       "       'Histórico de Vendas do Ciclo 202508',\n",
       "       'Histórico de Vendas do Ciclo 202509',\n",
       "       'Histórico de Vendas do Ciclo Atual'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns[29:34]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "15b7149f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_final.rename(columns={df_final.columns[30]: \"C-4\", df_final.columns[31]: \"C-3\",df_final.columns[32]: \"C-2\",df_final.columns[29]: \"C-1\",df_final.columns[33]:'VENDAS CICLO ATUAL'})\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "9333bc77",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['PRODUTO LANÇAMENTO', 'DESCRIÇÃO DO LANÇAMENTO', 'PRODUTO SIMILAR',\n",
       "       'DESCRIÇÃO SIMILAR', 'CICLO SIMILAR', 'FOCO', 'IAF', 'CATEGORIA',\n",
       "       'MARCA', '% CONSUMIDOR', 'MECANICA CONSUMIDOR', '% REVENDEDOR',\n",
       "       'MECANICA REVENDEDOR', 'TIPO DE PRODUTO', 'MATCH', 'PDV', 'CANAL',\n",
       "       'DESCRIÇÃO PDV', 'PDV DESC', 'UF', 'ANALISTA', 'SUPERVISOR', 'STATUS',\n",
       "       'CLASSE', 'SKU_X', 'DESCRIÇÃO', 'SUBCATEGORIA', 'LANÇAMENTO',\n",
       "       'DESATIVAÇÃO', 'C-1', 'C-4', 'C-3', 'C-2', 'VENDAS CICLO ATUAL',\n",
       "       'DIAS SEM VENDA', 'PROJEÇÃO PRÓXIMO CICLO',\n",
       "       'PROJEÇÃO PRÓXIMO CICLO + 1', 'PROMOÇÃO PRÓXIMO CICLO',\n",
       "       'PROMOÇÃO PRÓXIMO CICLO + 1', 'ESTOQUE ATUAL', 'ESTOQUE EM TRANSITO',\n",
       "       'PEDIDO PENDENTE', 'COMPRA INTELIGENTE SEMANAL/SUGESTÃO DE COMPRA',\n",
       "       'COMPRA INTELIGENTE PRÓXIMO CICLO',\n",
       "       'COMPRA INTELIGENTE PRÓXIMO CICLO + 1', 'ITEM DESATIVADO',\n",
       "       'DATA PREVISTA REGULARIZAÇÃO', 'CARTEIRA BLOQUEADA PARA NOVOS PEDIDOS',\n",
       "       'PLANOGRAMA', 'QUANTIDADE POR CAIXA', 'PREÇO SELL IN', 'QUANTIDADE',\n",
       "       'ITEM ANALISADO', 'MATCH_X', 'CRESCIMENTO', 'CICLO', 'INICIO CICLO',\n",
       "       'FIM CICLO', 'DURAÇÃO', 'MATCH_Y', 'DIAS_ATE_INICIO',\n",
       "       'INICIO CICLO SIMILAR', 'FIM CICLO SIMILAR', 'DURAÇÃO CICLO SIMILAR',\n",
       "       'SKU_Y', 'CICLO', 'VENDAS CICLO LANÇAMENTO', 'SKU', '202408', '202409',\n",
       "       '202410', '202411', '202412', '202413', '202414', '202415', '202416',\n",
       "       '202417', '202501', '202502', '202503', '202504', '202505', '202506',\n",
       "       '202507', 'CRESCIMENTO_GERAL', 'PICO VENDAS SIMILAR ULTIMOS 6 CICLOS',\n",
       "       'MEDIANA DO HISTÓRICO', 'DE PARA PDV', 'SKU', 'PDVDEPARA.PRACTICO',\n",
       "       'CÓDIGO', 'CRESCIMENTO_FINAL', 'PV GINSENG'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns = df_final.columns.str.upper()\n",
    "\n",
    "df_final.drop(columns=df_final.filter(regex='HISTÓRICO DE VENDAS DO CICLO').columns, inplace=True)\n",
    "\n",
    "df_final.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "id": "dceebd16",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_final.rename(columns={'MARCA_X':'MARCA'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "62ce5c62",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2291, 94)"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "cecca116",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final[['C-4', 'C-3', 'C-2', 'C-1', 'VENDAS CICLO ATUAL']] = df_final[['C-4', 'C-3', 'C-2', 'C-1', 'VENDAS CICLO ATUAL']].fillna(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "8ad318b0",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final = df_final.loc[:, ~df_final.columns.duplicated()]\n",
    "\n",
    "colunas_desejadas = [\n",
    "    'SUPERVISOR',\n",
    "    'ANALISTA',\n",
    "    'CANAL',\n",
    "    'UF',\n",
    "    'PDV',\n",
    "    'DESCRIÇÃO PDV',\n",
    "    'PRODUTO LANÇAMENTO',\n",
    "    'DESCRIÇÃO DO LANÇAMENTO',\n",
    "    'MARCA',\n",
    "    'CATEGORIA',\n",
    "    '% CONSUMIDOR',\n",
    "    'MECANICA CONSUMIDOR',\n",
    "    '% REVENDEDOR',\n",
    "    'MECANICA REVENDEDOR',\n",
    "    'TIPO DE PRODUTO',\n",
    "    'IAF',\n",
    "    'FOCO',\n",
    "    'PRODUTO SIMILAR',\n",
    "    'DESCRIÇÃO SIMILAR',\n",
    "    'CICLO SIMILAR',\n",
    "    'VENDAS CICLO LANÇAMENTO',\n",
    "    'C-4',\n",
    "    'C-3',\n",
    "    'C-2',\n",
    "    'C-1',\n",
    "    'VENDAS CICLO ATUAL',\n",
    "    'PICO VENDAS SIMILAR ULTIMOS 6 CICLOS',\n",
    "    'PV GINSENG'\n",
    "]\n",
    "\n",
    "df_final = df_final.reindex(columns=colunas_desejadas)\n",
    "\n",
    "colunas_filtradas = [col for col in colunas_desejadas if col in df_final.columns]\n",
    "df_final = df_final[colunas_filtradas]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "25cbff26",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\"df_final = df_final.reindex(columns=[\\n    'SUPERVISOR',\\n    'ANALISTA',\\n    'CANAL',\\n    'UF',\\n    'PDV',\\n    'DESCRIÇÃO PDV',\\n    'PRODUTO LANÇAMENTO',\\n    'DESCRIÇÃO DO LANÇAMENTO',\\n    'MARCA',\\n    'CATEGORIA',\\n    'MECANICA CONSUMIDOR',\\n    '% CONSUMIDOR',\\n    'MECANICA REVENDEDOR',\\n    '% REVENDEDOR',\\n    'TIPO DE PRODUTO',\\n    'IAF',\\n    'FOCO',\\n    'PRODUTO SIMILAR',\\n    'DESCRIÇÃO SIMILAR',\\n    'CICLO SIMILAR',\\n    'VENDAS CICLO LANÇAMENTO',\\n    'C-4',\\n    'C-3',\\n    'C-2',\\n    'C-1',\\n    'VENDAS CICLO ATUAL',\\n    'PICO VENDAS SIMILAR ULTIMOS 6 CICLOS',\\n    'PV GINSENG'])\\n\""
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'''df_final = df_final.reindex(columns=[\n",
    "    'SUPERVISOR',\n",
    "    'ANALISTA',\n",
    "    'CANAL',\n",
    "    'UF',\n",
    "    'PDV',\n",
    "    'DESCRIÇÃO PDV',\n",
    "    'PRODUTO LANÇAMENTO',\n",
    "    'DESCRIÇÃO DO LANÇAMENTO',\n",
    "    'MARCA',\n",
    "    'CATEGORIA',\n",
    "    'MECANICA CONSUMIDOR',\n",
    "    '% CONSUMIDOR',\n",
    "    'MECANICA REVENDEDOR',\n",
    "    '% REVENDEDOR',\n",
    "    'TIPO DE PRODUTO',\n",
    "    'IAF',\n",
    "    'FOCO',\n",
    "    'PRODUTO SIMILAR',\n",
    "    'DESCRIÇÃO SIMILAR',\n",
    "    'CICLO SIMILAR',\n",
    "    'VENDAS CICLO LANÇAMENTO',\n",
    "    'C-4',\n",
    "    'C-3',\n",
    "    'C-2',\n",
    "    'C-1',\n",
    "    'VENDAS CICLO ATUAL',\n",
    "    'PICO VENDAS SIMILAR ULTIMOS 6 CICLOS',\n",
    "    'PV GINSENG'])\n",
    "'''"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "a3e80cb4",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final['SUGESTÃO METASELLIN'] = ''\n",
    "df_final['SUGESTÃO ABASTECIMENTO'] = ''\n",
    "df_final['SUGESTÃO COMERCIAL'] = ''\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "id": "cc9c6ee6",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_pdv_origi['PDV'] = df_pdv_origi['PDV'].astype(str)\n",
    "\n",
    "df_pdv_origi['PDV'].head()\n",
    "\n",
    "df_pdv_origi = df_pdv_origi.rename(columns={'UF':'UF_CERTO'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "id": "df9f0130",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final= pd.merge(df_final,df_pdv_origi[['UF_CERTO','PDV']],on='PDV',how='inner')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "id": "7778d82f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['SUPERVISOR', 'ANALISTA', 'CANAL', 'UF', 'PDV', 'DESCRIÇÃO PDV',\n",
       "       'PRODUTO LANÇAMENTO', 'DESCRIÇÃO DO LANÇAMENTO', 'MARCA', 'CATEGORIA',\n",
       "       '% CONSUMIDOR', 'MECANICA CONSUMIDOR', '% REVENDEDOR',\n",
       "       'MECANICA REVENDEDOR', 'TIPO DE PRODUTO', 'IAF', 'FOCO',\n",
       "       'PRODUTO SIMILAR', 'DESCRIÇÃO SIMILAR', 'CICLO SIMILAR',\n",
       "       'VENDAS CICLO LANÇAMENTO', 'C-4', 'C-3', 'C-2', 'C-1',\n",
       "       'VENDAS CICLO ATUAL', 'PICO VENDAS SIMILAR ULTIMOS 6 CICLOS',\n",
       "       'PV GINSENG', 'SUGESTÃO METASELLIN', 'SUGESTÃO ABASTECIMENTO',\n",
       "       'SUGESTÃO COMERCIAL', 'UF_CERTO'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 107,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "id": "f8cd886a",
   "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>SUPERVISOR</th>\n",
       "      <th>ANALISTA</th>\n",
       "      <th>CANAL</th>\n",
       "      <th>UF</th>\n",
       "      <th>PDV</th>\n",
       "      <th>DESCRIÇÃO PDV</th>\n",
       "      <th>PRODUTO LANÇAMENTO</th>\n",
       "      <th>DESCRIÇÃO DO LANÇAMENTO</th>\n",
       "      <th>MARCA</th>\n",
       "      <th>CATEGORIA</th>\n",
       "      <th>...</th>\n",
       "      <th>C-4</th>\n",
       "      <th>C-3</th>\n",
       "      <th>C-2</th>\n",
       "      <th>C-1</th>\n",
       "      <th>VENDAS CICLO ATUAL</th>\n",
       "      <th>PICO VENDAS SIMILAR ULTIMOS 6 CICLOS</th>\n",
       "      <th>PV GINSENG</th>\n",
       "      <th>SUGESTÃO METASELLIN</th>\n",
       "      <th>SUGESTÃO ABASTECIMENTO</th>\n",
       "      <th>SUGESTÃO COMERCIAL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Efigênia Herculano</td>\n",
       "      <td>LUAN</td>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>12522</td>\n",
       "      <td>MACEIO SHOP EXP</td>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>...</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>27</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Maxwell Vieira</td>\n",
       "      <td>JEFFERSON</td>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>12817</td>\n",
       "      <td>SHOPPING PATIO</td>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>43</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Maxwell Vieira</td>\n",
       "      <td>PEDRO</td>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>12818</td>\n",
       "      <td>GB SERRARIA</td>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>11</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Maxwell Vieira</td>\n",
       "      <td>THAYLLAN</td>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>12820</td>\n",
       "      <td>ATACADÃO</td>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Efigênia Herculano</td>\n",
       "      <td>MARCYARA</td>\n",
       "      <td>LJ</td>\n",
       "      <td>AL</td>\n",
       "      <td>12823</td>\n",
       "      <td>PONTA VERDE</td>\n",
       "      <td>59823</td>\n",
       "      <td>NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...</td>\n",
       "      <td>NATIVA SPA</td>\n",
       "      <td>CUIDADOS COM A PELE</td>\n",
       "      <td>...</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>34</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           SUPERVISOR   ANALISTA CANAL  UF    PDV    DESCRIÇÃO PDV  \\\n",
       "0  Efigênia Herculano       LUAN    LJ  AL  12522  MACEIO SHOP EXP   \n",
       "1      Maxwell Vieira  JEFFERSON    LJ  AL  12817   SHOPPING PATIO   \n",
       "2      Maxwell Vieira      PEDRO    LJ  AL  12818      GB SERRARIA   \n",
       "3      Maxwell Vieira   THAYLLAN    LJ  AL  12820         ATACADÃO   \n",
       "4  Efigênia Herculano   MARCYARA    LJ  AL  12823      PONTA VERDE   \n",
       "\n",
       "   PRODUTO LANÇAMENTO                            DESCRIÇÃO DO LANÇAMENTO  \\\n",
       "0               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "1               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "2               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "3               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "4               59823  NATIVA SPA ORQUÍDEA LUMIÈRE CREME DESODORANTE ...   \n",
       "\n",
       "        MARCA            CATEGORIA  ...  C-4  C-3  C-2  C-1  \\\n",
       "0  NATIVA SPA  CUIDADOS COM A PELE  ...  2.0  3.0  0.0  2.0   \n",
       "1  NATIVA SPA  CUIDADOS COM A PELE  ...  3.0  0.0  0.0  3.0   \n",
       "2  NATIVA SPA  CUIDADOS COM A PELE  ...  4.0  2.0  0.0  1.0   \n",
       "3  NATIVA SPA  CUIDADOS COM A PELE  ...  0.0  2.0  0.0  1.0   \n",
       "4  NATIVA SPA  CUIDADOS COM A PELE  ...  4.0  0.0  1.0  5.0   \n",
       "\n",
       "  VENDAS CICLO ATUAL PICO VENDAS SIMILAR ULTIMOS 6 CICLOS PV GINSENG  \\\n",
       "0                0.0                                  3.0         27   \n",
       "1                0.0                                  5.0         43   \n",
       "2                4.0                                  4.0         11   \n",
       "3                2.0                                  3.0          6   \n",
       "4                5.0                                  7.0         34   \n",
       "\n",
       "   SUGESTÃO METASELLIN SUGESTÃO ABASTECIMENTO SUGESTÃO COMERCIAL  \n",
       "0                                                                 \n",
       "1                                                                 \n",
       "2                                                                 \n",
       "3                                                                 \n",
       "4                                                                 \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final['UF']= df_final['UF_CERTO']\n",
    "\n",
    "df_final = df_final.drop(columns=['UF_CERTO'])\n",
    "\n",
    "df_final.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "id": "2df3e2e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_final.to_excel(f'C:/Users/joao.herculano/Documents/Lançamento{hoje}{ciclo_lanc}.xlsx',index=False)"
   ]
  }
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