638 lines
20 KiB
Plaintext
638 lines
20 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 44,
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"id": "c12daadb",
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"metadata": {},
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"outputs": [],
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"source": [
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"import fitz\n",
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"import pytesseract\n",
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"from PIL import Image\n",
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"import io\n",
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"import re\n",
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"import pandas as pd\n",
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"#pip install camelot-py[cv]\n",
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"import camelot\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 100,
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"id": "a3970a11",
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"metadata": {},
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"outputs": [],
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"source": [
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"tables = camelot.read_pdf(\"C:/Users/garci/Downloads/Extracto Sogenave_Março.pdf\", pages=\"all\",flavor=\"stream\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 101,
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"id": "10067e62",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" Data Descrição Data Valor Montante \\\n",
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"0 01-03-2026 SALDO ANTERIOR 01-03-2026 \n",
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"1 01-03-2026 55389 FECHO TPA:0001455389 061-00006 01-03-2026 1,36 H \n",
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"2 01-03-2026 55294 FECHO TPA:0001455294 034-00022 01-03-2026 14,50 H \n",
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"3 01-03-2026 55340 FECHO TPA:0001455340 085-00005 01-03-2026 3,67 H \n",
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"4 01-03-2026 55370 FECHO TPA:0001455370 053-00003 01-03-2026 1,04 H \n",
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"... ... ... ... ... \n",
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"4024 31-03-2026 55356 FECHO TPA:0001455356 074-00010 31-03-2026 2,59 H \n",
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"4025 31-03-2026 55231 FECHO TPA:0001455231 059-00003 31-03-2026 1,34 H \n",
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"4026 31-03-2026 55224 FECHO TPA:0001455224 066-00007 31-03-2026 8,65 H \n",
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"4027 31-03-2026 55234 FECHO TPA:0001455234 092-00023 31-03-2026 7,74 H \n",
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"4028 31-03-2026 55312 FECHO TPA:0001455312 081-00086 31-03-2026 78,53 H \n",
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"\n",
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" Saldo \n",
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"0 23.240,03 \n",
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"1 23.241,39 \n",
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"2 23.255,89 \n",
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"3 23.259,56 \n",
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"4 23.260,60 \n",
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"... ... \n",
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"4024 67.726,71 \n",
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"4025 67.728,05 \n",
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"4026 67.736,70 \n",
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"4027 67.744,44 \n",
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"4028 67.822,97 \n",
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"\n",
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"[4029 rows x 5 columns]\n"
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]
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}
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],
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"source": [
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"linhas_finais = []\n",
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"\n",
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"for table in tables:\n",
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" df_raw = table.df\n",
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" for i in range(1, len(df_raw)):\n",
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" row = df_raw.iloc[i]\n",
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" if len(row) < 5:\n",
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" continue\n",
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"\n",
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" col0 = row[0].split(\"\\n\") if row[0] else [\"\"]\n",
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" col1 = row[1].split(\"\\n\") if row[1] else [\"\"]\n",
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" col2 = row[2].split(\"\\n\") if row[2] else [\"\"]\n",
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" col3 = row[3].split(\"\\n\") if row[3] else [\"\"]\n",
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" col4 = row[4].split(\"\\n\") if row[4] else [\"\"]\n",
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"\n",
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" max_len = max(len(col0), len(col1), len(col2), len(col3), len(col4))\n",
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"\n",
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" def pad(lst, size):\n",
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" return lst + [\"\"] * (size - len(lst))\n",
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"\n",
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" col0 = pad(col0, max_len)\n",
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" col1 = pad(col1, max_len)\n",
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" col2 = pad(col2, max_len)\n",
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" col3 = pad(col3, max_len)\n",
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" col4 = pad(col4, max_len)\n",
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"\n",
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" for j in range(max_len):\n",
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" linhas_finais.append([\n",
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" col0[j],\n",
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" col1[j],\n",
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" col2[j],\n",
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" col3[j],\n",
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" col4[j]\n",
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" ])\n",
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"\n",
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"df_final = pd.DataFrame(\n",
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" linhas_finais,\n",
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" columns=[\"Data\", \"Descrição\", \"Data Valor\", \"Montante\", \"Saldo\"]\n",
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")\n",
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"\n",
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"print(df_final)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 102,
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"id": "ab442a70",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Descrição</th>\n",
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" <th>Data Valor</th>\n",
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" <th>Montante</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>55389 FECHO TPA:0001455389 061-00006</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>1,36 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>55294 FECHO TPA:0001455294 034-00022</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>14,50 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>55340 FECHO TPA:0001455340 085-00005</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>3,67 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>55370 FECHO TPA:0001455370 053-00003</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>1,04 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>55205 FECHO TPA:0001455205 028-00009</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>5,34 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4024</th>\n",
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" <td>55356 FECHO TPA:0001455356 074-00010</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>2,59 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4025</th>\n",
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" <td>55231 FECHO TPA:0001455231 059-00003</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>1,34 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4026</th>\n",
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" <td>55224 FECHO TPA:0001455224 066-00007</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>8,65 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4027</th>\n",
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" <td>55234 FECHO TPA:0001455234 092-00023</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>7,74 H</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4028</th>\n",
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" <td>55312 FECHO TPA:0001455312 081-00086</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>78,53 H</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>4028 rows × 3 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" Descrição Data Valor Montante\n",
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"1 55389 FECHO TPA:0001455389 061-00006 01-03-2026 1,36 H\n",
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"2 55294 FECHO TPA:0001455294 034-00022 01-03-2026 14,50 H\n",
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"3 55340 FECHO TPA:0001455340 085-00005 01-03-2026 3,67 H\n",
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"4 55370 FECHO TPA:0001455370 053-00003 01-03-2026 1,04 H\n",
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"5 55205 FECHO TPA:0001455205 028-00009 01-03-2026 5,34 H\n",
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"... ... ... ...\n",
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"4024 55356 FECHO TPA:0001455356 074-00010 31-03-2026 2,59 H\n",
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"4025 55231 FECHO TPA:0001455231 059-00003 31-03-2026 1,34 H\n",
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"4026 55224 FECHO TPA:0001455224 066-00007 31-03-2026 8,65 H\n",
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"4027 55234 FECHO TPA:0001455234 092-00023 31-03-2026 7,74 H\n",
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"4028 55312 FECHO TPA:0001455312 081-00086 31-03-2026 78,53 H\n",
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"\n",
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"[4028 rows x 3 columns]"
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]
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},
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"execution_count": 102,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_final = df_final.drop(columns=[\"Data\",\"Saldo\"])\n",
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"df_final = df_final.drop(index=0)\n",
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"df_final"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 107,
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||
"id": "9498de76",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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||
"<div>\n",
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||
"<style scoped>\n",
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||
" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Descrição</th>\n",
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" <th>Data Valor</th>\n",
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" <th>Montante</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>536</th>\n",
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" <td>Cob-Venc. LEAS:530-3001-000939-050-01/2</td>\n",
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" <td>05-03-2026</td>\n",
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" <td>-4898,03</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>537</th>\n",
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" <td>Cob-Venc. LEAS:530-3001-000941-050-01/1</td>\n",
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" <td>05-03-2026</td>\n",
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" <td>-6245,72</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1014</th>\n",
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" <td>COMISSÃO CERTIFICADO DE SALDOS E INF. A</td>\n",
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" <td>09-03-2026</td>\n",
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" <td>-100,00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1015</th>\n",
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" <td>IVA COMISSÃO IVA(CERTIFICADO DE SALDOS E</td>\n",
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" <td>09-03-2026</td>\n",
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" <td>-23,00</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1925</th>\n",
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" <td>Cob-Venc. LEAS:530-3001-000940-050-01/3</td>\n",
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" <td>16-03-2026</td>\n",
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" <td>-2216,87</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" Descrição Data Valor Montante\n",
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"536 Cob-Venc. LEAS:530-3001-000939-050-01/2 05-03-2026 -4898,03 \n",
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"537 Cob-Venc. LEAS:530-3001-000941-050-01/1 05-03-2026 -6245,72 \n",
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"1014 COMISSÃO CERTIFICADO DE SALDOS E INF. A 09-03-2026 -100,00 \n",
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"1015 IVA COMISSÃO IVA(CERTIFICADO DE SALDOS E 09-03-2026 -23,00 \n",
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"1925 Cob-Venc. LEAS:530-3001-000940-050-01/3 16-03-2026 -2216,87 "
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]
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},
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"execution_count": 107,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_D = df_final[df_final[\"Montante\"].str.contains(\"D\", na=False)]\n",
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"df_D[\"Montante\"]=df_D[\"Montante\"].str.replace(\"D\",\"\", regex=False)\n",
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"df_D[\"Montante\"]=df_D[\"Montante\"].str.replace(\".\",\"\", regex=False)\n",
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"df_D[\"Descrição\"]=df_D[\"Descrição\"].str.replace(\"ˆ\",\"Ã\", regex=False)\n",
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"df_D[\"Montante\"]=\"-\" + df_D[\"Montante\"].astype(str)\n",
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"df_D"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 108,
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"id": "50b681a6",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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||
"<style scoped>\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>Descrição</th>\n",
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" <th>Data Valor</th>\n",
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" <th>Montante</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>TPA:0001455389</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>1,36</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>TPA:0001455294</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>14,50</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>TPA:0001455340</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>3,67</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>TPA:0001455370</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>1,04</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>TPA:0001455205</td>\n",
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" <td>01-03-2026</td>\n",
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" <td>5,34</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4024</th>\n",
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" <td>TPA:0001455356</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>2,59</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4025</th>\n",
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" <td>TPA:0001455231</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>1,34</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4026</th>\n",
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" <td>TPA:0001455224</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>8,65</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4027</th>\n",
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" <td>TPA:0001455234</td>\n",
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" <td>31-03-2026</td>\n",
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" <td>7,74</td>\n",
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" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4028</th>\n",
|
||
" <td>TPA:0001455312</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>78,53</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>3995 rows × 3 columns</p>\n",
|
||
"</div>"
|
||
],
|
||
"text/plain": [
|
||
" Descrição Data Valor Montante\n",
|
||
"1 TPA:0001455389 01-03-2026 1,36 \n",
|
||
"2 TPA:0001455294 01-03-2026 14,50 \n",
|
||
"3 TPA:0001455340 01-03-2026 3,67 \n",
|
||
"4 TPA:0001455370 01-03-2026 1,04 \n",
|
||
"5 TPA:0001455205 01-03-2026 5,34 \n",
|
||
"... ... ... ...\n",
|
||
"4024 TPA:0001455356 31-03-2026 2,59 \n",
|
||
"4025 TPA:0001455231 31-03-2026 1,34 \n",
|
||
"4026 TPA:0001455224 31-03-2026 8,65 \n",
|
||
"4027 TPA:0001455234 31-03-2026 7,74 \n",
|
||
"4028 TPA:0001455312 31-03-2026 78,53 \n",
|
||
"\n",
|
||
"[3995 rows x 3 columns]"
|
||
]
|
||
},
|
||
"execution_count": 108,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"df_H = df_final[df_final[\"Montante\"].str.contains(\"H\", na=False)]\n",
|
||
"df_H[\"Descrição\"] = df_H[\"Descrição\"].str.extract(r'(TPA:\\d+)')\n",
|
||
"df_H[\"Montante\"]=df_H[\"Montante\"].str.replace(\"H\",\"\", regex=False)\n",
|
||
"df_H[\"Montante\"]=df_H[\"Montante\"].str.replace(\".\",\"\", regex=False)\n",
|
||
"\n",
|
||
"df_H"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 112,
|
||
"id": "c752079f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
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|
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|
||
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|
||
" <th></th>\n",
|
||
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|
||
" <th>Data Valor</th>\n",
|
||
" <th>Montante</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
" <td>Cob-Venc. LEAS:530-3001-000939-050-01/2</td>\n",
|
||
" <td>05-03-2026</td>\n",
|
||
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|
||
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|
||
" <tr>\n",
|
||
" <th>1</th>\n",
|
||
" <td>Cob-Venc. LEAS:530-3001-000941-050-01/1</td>\n",
|
||
" <td>05-03-2026</td>\n",
|
||
" <td>-6245.72</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>COMISSÃO CERTIFICADO DE SALDOS E INF. A</td>\n",
|
||
" <td>09-03-2026</td>\n",
|
||
" <td>-100.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>IVA COMISSÃO IVA(CERTIFICADO DE SALDOS E</td>\n",
|
||
" <td>09-03-2026</td>\n",
|
||
" <td>-23.00</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>Cob-Venc. LEAS:530-3001-000940-050-01/3</td>\n",
|
||
" <td>16-03-2026</td>\n",
|
||
" <td>-2216.87</td>\n",
|
||
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|
||
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|
||
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|
||
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||
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|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3995</th>\n",
|
||
" <td>TPA:0001455356</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>2.59</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3996</th>\n",
|
||
" <td>TPA:0001455231</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>1.34</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3997</th>\n",
|
||
" <td>TPA:0001455224</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>8.65</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3998</th>\n",
|
||
" <td>TPA:0001455234</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>7.74</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3999</th>\n",
|
||
" <td>TPA:0001455312</td>\n",
|
||
" <td>31-03-2026</td>\n",
|
||
" <td>78.53</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>4000 rows × 3 columns</p>\n",
|
||
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|
||
],
|
||
"text/plain": [
|
||
" Descrição Data Valor Montante\n",
|
||
"0 Cob-Venc. LEAS:530-3001-000939-050-01/2 05-03-2026 -4898.03\n",
|
||
"1 Cob-Venc. LEAS:530-3001-000941-050-01/1 05-03-2026 -6245.72\n",
|
||
"2 COMISSÃO CERTIFICADO DE SALDOS E INF. A 09-03-2026 -100.00\n",
|
||
"3 IVA COMISSÃO IVA(CERTIFICADO DE SALDOS E 09-03-2026 -23.00\n",
|
||
"4 Cob-Venc. LEAS:530-3001-000940-050-01/3 16-03-2026 -2216.87\n",
|
||
"... ... ... ...\n",
|
||
"3995 TPA:0001455356 31-03-2026 2.59\n",
|
||
"3996 TPA:0001455231 31-03-2026 1.34\n",
|
||
"3997 TPA:0001455224 31-03-2026 8.65\n",
|
||
"3998 TPA:0001455234 31-03-2026 7.74\n",
|
||
"3999 TPA:0001455312 31-03-2026 78.53\n",
|
||
"\n",
|
||
"[4000 rows x 3 columns]"
|
||
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|
||
},
|
||
"execution_count": 112,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"source": [
|
||
"dffinal=pd.concat([df_D, df_H], ignore_index=True)\n",
|
||
"dffinal[\"Montante\"]=dffinal[\"Montante\"].str.replace(\",\",\".\", regex=False)\n",
|
||
"dffinal[\"Montante\"] = dffinal[\"Montante\"].astype(float)\n",
|
||
"dffinal"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 114,
|
||
"id": "76673631",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"dffinal.to_excel(\"C:/Users/garci/Downloads/MAR 25 BIC2.xlsx\")"
|
||
]
|
||
}
|
||
],
|
||
"metadata": {
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