movimento_processual_com_estatisticas_final.ipynb

{
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  {
   "cell_type": "markdown",
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   "source": [
    "# Aplicação de Consulta Processual e Análise Estatística\n",
    "\n",
    "### Esta aplicação em Python permite que os usuários obtenham a movimentação processual e estatísticas relacionadas aos processos judiciais de um determinado órgão judicial, inserindo apenas o número do processo. Os dados são salvos em um arquivo Excel, facilitando a consulta e análise posterior.\n",
    "\n",
    "## Funcionalidades:\n",
    "    - Consulta de Processos: Obtenha detalhes e histórico de qualquer processo jurídico inserindo o número do processo.\n",
    "    - Estatísticas de Processos: Acesse estatísticas sobre processos julgados e em andamento.\n",
    "    - Exportação para Excel: Os dados são organizados e salvos em um arquivo Excel com abas específicas para processos, movimentações e estatísticas."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1361,
   "id": "3a739f91",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import requests\n",
    "import json\n",
    "from datetime import datetime\n",
    "from dateutil.relativedelta import relativedelta\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a60c807",
   "metadata": {},
   "source": [
    "# PRIMEIRA ETAPA\n",
    "Movimentação processual"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1362,
   "id": "58f5280a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# definindo os parâmetros para a requisição\n",
    "\n",
    "tribunal = 'tjpe'\n",
    "\n",
    "numero_processo_bruto = '0000927-25.2020.8.17.2100'\n",
    "\n",
    "numero_processo = numero_processo_bruto.replace('-','').replace(' ','').replace('.','')\n",
    "\n",
    "numero_processo_original = numero_processo\n",
    "\n",
    "url = f\"https://api-publica.datajud.cnj.jus.br/api_publica_{tribunal}/_search\"\n",
    "\n",
    "api_key = \"APIKey cDZHYzlZa0JadVREZDJCendQbXY6SkJlTzNjLV9TRENyQk1RdnFKZGRQdw==\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1363,
   "id": "8c81f215",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       " 'hits': {'total': {'value': 2, 'relation': 'eq'},\n",
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       "     'nivelSigilo': 0,\n",
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       "      'codigo': 78336,\n",
       "      'nome': 'CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA'},\n",
       "     'assuntos': [{'codigo': 10422,\n",
       "       'nome': 'Pagamento Atrasado / Correção Monetária'}]}},\n",
       "   {'_index': 'api_publica_tjpe',\n",
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       "         'nome': 'para despacho',\n",
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       "         'nome': 'Outros documentos',\n",
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       "       'nome': 'Expedição de documento',\n",
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       "         'descricao': 'tipo_de_conclusao'}],\n",
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       "       'nome': 'Conclusão',\n",
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       "         'valor': 57,\n",
       "         'nome': 'Petição (outras)',\n",
       "         'descricao': 'tipo_de_peticao'}],\n",
       "       'codigo': 85,\n",
       "       'nome': 'Petição',\n",
       "       'dataHora': '2022-10-25T10:16:05.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 19,\n",
       "         'valor': 57,\n",
       "         'nome': 'Petição (outras)',\n",
       "         'descricao': 'tipo_de_peticao'}],\n",
       "       'codigo': 85,\n",
       "       'nome': 'Petição',\n",
       "       'dataHora': '2023-01-04T15:09:06.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 4,\n",
       "         'valor': 107,\n",
       "         'nome': 'Certidão',\n",
       "         'descricao': 'tipo_de_documento'}],\n",
       "       'codigo': 60,\n",
       "       'nome': 'Expedição de documento',\n",
       "       'dataHora': '2023-01-27T12:33:40.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 3,\n",
       "         'valor': 5,\n",
       "         'nome': 'para despacho',\n",
       "         'descricao': 'tipo_de_conclusao'}],\n",
       "       'codigo': 51,\n",
       "       'nome': 'Conclusão',\n",
       "       'dataHora': '2023-01-27T12:33:50.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 4,\n",
       "         'valor': 80,\n",
       "         'nome': 'Outros documentos',\n",
       "         'descricao': 'tipo_de_documento'},\n",
       "        {'codigo': 4,\n",
       "         'valor': 80,\n",
       "         'nome': 'Outros documentos',\n",
       "         'descricao': 'tipo_de_documento'}],\n",
       "       'codigo': 60,\n",
       "       'nome': 'Expedição de documento',\n",
       "       'dataHora': '2023-07-10T13:15:13.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 4,\n",
       "         'valor': 80,\n",
       "         'nome': 'Outros documentos',\n",
       "         'descricao': 'tipo_de_documento'},\n",
       "        {'codigo': 4,\n",
       "         'valor': 80,\n",
       "         'nome': 'Outros documentos',\n",
       "         'descricao': 'tipo_de_documento'}],\n",
       "       'codigo': 60,\n",
       "       'nome': 'Expedição de documento',\n",
       "       'dataHora': '2023-07-10T13:15:13.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 19,\n",
       "         'valor': 57,\n",
       "         'nome': 'Petição (outras)',\n",
       "         'descricao': 'tipo_de_peticao'}],\n",
       "       'codigo': 85,\n",
       "       'nome': 'Petição',\n",
       "       'dataHora': '2023-08-31T10:29:07.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 4,\n",
       "         'valor': 107,\n",
       "         'nome': 'Certidão',\n",
       "         'descricao': 'tipo_de_documento'}],\n",
       "       'codigo': 60,\n",
       "       'nome': 'Expedição de documento',\n",
       "       'dataHora': '2023-11-24T11:10:22.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 3,\n",
       "         'valor': 5,\n",
       "         'nome': 'para despacho',\n",
       "         'descricao': 'tipo_de_conclusao'}],\n",
       "       'codigo': 51,\n",
       "       'nome': 'Conclusão',\n",
       "       'dataHora': '2024-02-27T14:45:10.000Z'},\n",
       "      {'codigo': 12614,\n",
       "       'nome': 'Remessa para o CEJUSC ou Centros de Conciliação/Mediação',\n",
       "       'dataHora': '2020-11-27T14:00:08.000Z'},\n",
       "      {'codigo': 12614,\n",
       "       'nome': 'Remessa para o CEJUSC ou Centros de Conciliação/Mediação',\n",
       "       'dataHora': '2021-03-17T10:16:15.000Z'},\n",
       "      {'complementosTabelados': [{'codigo': 8,\n",
       "         'valor': 20,\n",
       "         'nome': 'em execução',\n",
       "         'descricao': 'numero_do_processo'}],\n",
       "       'codigo': 135,\n",
       "       'nome': 'Apensamento',\n",
       "       'dataHora': '2021-04-08T10:03:49.000Z'},\n",
       "      {'codigo': 60,\n",
       "       'nome': 'Expedição de documento',\n",
       "       'dataHora': '2022-09-21T18:21:12.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2020-07-06T20:59:07.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2020-07-13T18:16:30.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2020-10-23T15:48:17.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2020-11-29T21:10:51.000Z'},\n",
       "      {'codigo': 12619,\n",
       "       'nome': 'Recebimento do CEJUSC ou Centros de Conciliação/Mediação',\n",
       "       'dataHora': '2021-01-06T13:09:30.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2021-01-07T17:55:30.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2021-02-12T16:23:12.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2021-03-17T19:09:02.000Z'},\n",
       "      {'codigo': 12619,\n",
       "       'nome': 'Recebimento do CEJUSC ou Centros de Conciliação/Mediação',\n",
       "       'dataHora': '2021-03-18T21:23:38.000Z'},\n",
       "      {'codigo': 11018,\n",
       "       'nome': 'Recebimento de Embargos à Execução',\n",
       "       'dataHora': '2021-03-30T10:12:05.000Z'},\n",
       "      {'codigo': 12065,\n",
       "       'nome': 'Cumprimento de Suspensão ou Sobrestamento',\n",
       "       'dataHora': '2021-04-08T11:02:17.000Z'},\n",
       "      {'codigo': 12066,\n",
       "       'nome': 'Cumprimento de Levantamento da Suspensão ',\n",
       "       'dataHora': '2021-09-14T11:08:20.000Z'},\n",
       "      {'codigo': 12291,\n",
       "       'nome': 'Movimentação processual',\n",
       "       'dataHora': '2021-09-14T14:02:29.000Z'},\n",
       "      {'codigo': 12065,\n",
       "       'nome': 'Cumprimento de Suspensão ou Sobrestamento',\n",
       "       'dataHora': '2022-02-01T11:03:38.000Z'},\n",
       "      {'codigo': 12066,\n",
       "       'nome': 'Cumprimento de Levantamento da Suspensão ',\n",
       "       'dataHora': '2022-07-07T10:32:56.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2022-07-08T08:45:46.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2022-08-16T18:29:14.000Z'},\n",
       "      {'codigo': 11010,\n",
       "       'nome': 'Mero expediente',\n",
       "       'dataHora': '2022-09-21T18:21:11.000Z'},\n",
       "      {'codigo': 12457,\n",
       "       'nome': 'Expedição de precatório/rpv',\n",
       "       'dataHora': '2023-06-16T13:47:21.000Z'}],\n",
       "     'id': 'TJPE_12079_G1_6908_00009272520208172100',\n",
       "     'nivelSigilo': 0,\n",
       "     'orgaoJulgador': {'codigoMunicipioIBGE': 2600054,\n",
       "      'codigo': 6908,\n",
       "      'nome': '1ª VARA CÍVEL DA COMARCA DE ABREU E LIMA'},\n",
       "     'assuntos': [{'codigo': 10422,\n",
       "       'nome': 'Pagamento Atrasado / Correção Monetária'}]}}]}}"
      ]
     },
     "execution_count": 1363,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# fazendo a requisição\n",
    "\n",
    "payload = json.dumps({\n",
    "    \"query\": {\n",
    "        \"term\": {\n",
    "            \"numeroProcesso.keyword\": numero_processo\n",
    "        }\n",
    "    }\n",
    "})\n",
    "\n",
    "headers = {\n",
    "    'Authorization': api_key,\n",
    "    'Content-Type': 'application/json'\n",
    "}\n",
    "\n",
    "response = requests.request(\"POST\", url, headers=headers, data=payload)\n",
    "\n",
    "dados_dict = response.json()\n",
    "\n",
    "dados_dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1364,
   "id": "c78d3e57",
   "metadata": {
    "scrolled": true
   },
   "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>data</th>\n",
       "      <th>descricao_movimento</th>\n",
       "      <th>tipo</th>\n",
       "      <th>nome_tipo</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020-07-06T18:28:31.000Z</td>\n",
       "      <td>Distribuição</td>\n",
       "      <td>tipo_de_distribuicao_redistribuicao</td>\n",
       "      <td>sorteio</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-07-06T18:28:32.000Z</td>\n",
       "      <td>Conclusão</td>\n",
       "      <td>tipo_de_conclusao</td>\n",
       "      <td>para decisão</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020-07-10T09:46:44.000Z</td>\n",
       "      <td>Petição</td>\n",
       "      <td>tipo_de_peticao</td>\n",
       "      <td>Petição (outras)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020-07-13T10:08:53.000Z</td>\n",
       "      <td>Expedição de documento</td>\n",
       "      <td>tipo_de_documento</td>\n",
       "      <td>Certidão</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-07-13T10:09:25.000Z</td>\n",
       "      <td>Conclusão</td>\n",
       "      <td>tipo_de_conclusao</td>\n",
       "      <td>para despacho</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                       data     descricao_movimento  \\\n",
       "0  2020-07-06T18:28:31.000Z            Distribuição   \n",
       "1  2020-07-06T18:28:32.000Z               Conclusão   \n",
       "2  2020-07-10T09:46:44.000Z                 Petição   \n",
       "3  2020-07-13T10:08:53.000Z  Expedição de documento   \n",
       "4  2020-07-13T10:09:25.000Z               Conclusão   \n",
       "\n",
       "                                  tipo         nome_tipo  \n",
       "0  tipo_de_distribuicao_redistribuicao           sorteio  \n",
       "1                    tipo_de_conclusao      para decisão  \n",
       "2                      tipo_de_peticao  Petição (outras)  \n",
       "3                    tipo_de_documento          Certidão  \n",
       "4                    tipo_de_conclusao     para despacho  "
      ]
     },
     "execution_count": 1364,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# colocando a movimentação em um data frame \n",
    "\n",
    "dados_movimentos = []\n",
    "\n",
    "# Tentar acessar movimentos em dados_dict['hits']['hits'][1]['_source']\n",
    "try:\n",
    "    movimentos = dados_dict['hits']['hits'][1]['_source']['movimentos']\n",
    "except (IndexError, KeyError):\n",
    "    print('Dados em dados_dict[\"hits\"][\"hits\"][1][\"_source\"][\"movimentos\"] não encontrados. Tentando dados_dict[\"hits\"][\"hits\"][0][\"_source\"][\"movimentos\"].')\n",
    "    \n",
    "    # Se não conseguir acessar em [1], tenta em [0]\n",
    "    try:\n",
    "        movimentos = dados_dict['hits']['hits'][0]['_source']['movimentos']\n",
    "    except (IndexError, KeyError):\n",
    "        print('Dados em dados_dict[\"hits\"][\"hits\"][0][\"_source\"][\"movimentos\"] também não encontrados.')\n",
    "        movimentos = []  # Se nenhum movimento for encontrado, define movimentos como uma lista vazia\n",
    "\n",
    "# Iterar e armazenar os dados dos movimentos\n",
    "for movimento in movimentos:\n",
    "    data = movimento['dataHora']\n",
    "    descricao_movimento = movimento['nome']\n",
    "    \n",
    "    # Verifica se 'complementosTabelados' está presente no movimento\n",
    "    if 'complementosTabelados' in movimento:\n",
    "        complementos = movimento['complementosTabelados']\n",
    "        \n",
    "        for complemento in complementos:\n",
    "            tipo = complemento['descricao']\n",
    "            nome_tipo = complemento['nome']\n",
    "            dados_movimentos.append({'data': data, 'descricao_movimento': descricao_movimento, 'tipo': tipo, 'nome_tipo': nome_tipo})\n",
    "    else:\n",
    "        # Caso 'complementosTabelados' não esteja presente, adiciona o movimento sem os complementos\n",
    "        dados_movimentos.append({'data': data, 'descricao_movimento': descricao_movimento, 'tipo': None, 'nome_tipo': None})\n",
    "\n",
    "# Criar DataFrame com os dados coletados\n",
    "df_movimentos = pd.DataFrame(dados_movimentos)\n",
    "\n",
    "df_movimentos.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1365,
   "id": "152abe82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plotando gráfico de linha do tempo\n",
    "\n",
    "df_movimentos.sort_values(by='data', inplace=True)\n",
    "\n",
    "# Criando a linha do tempo\n",
    "plt.figure(figsize=(14, 8))\n",
    "\n",
    "# Adicionando uma coluna para identificar o número de movimentos\n",
    "df_movimentos['movimento_id'] = range(1, len(df_movimentos) + 1)\n",
    "\n",
    "# Plotando a linha do tempo\n",
    "plt.plot(df_movimentos['data'], df_movimentos['movimento_id'], marker='o')\n",
    "\n",
    "# Anotando cada ponto na linha do tempo\n",
    "for i, row in df_movimentos.iterrows():\n",
    "    plt.text(row['data'], row['movimento_id'], row['descricao_movimento'], fontsize=9, ha='right', va='bottom', rotation=-50)\n",
    "\n",
    "# Configurando os rótulos e título do gráfico\n",
    "plt.xlabel('Data')\n",
    "plt.ylabel('Movimento ID')\n",
    "plt.title('Linha do Tempo das Movimentações Processuais')\n",
    "plt.grid(True)\n",
    "plt.xticks(rotation=90)\n",
    "plt.tight_layout()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1366,
   "id": "a576254c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fomatação de data \n",
    "\n",
    "df_movimentos['data'] = pd.to_datetime(df_movimentos['data'], format='%Y-%m-%dT%H:%M:%S.%fZ')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3729cc1",
   "metadata": {},
   "source": [
    "# SEGUNDA ETAPA\n",
    "Julgados do mesmo órgão"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1367,
   "id": "85e329e4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Código: 78336 - Órgão julgador: CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA'"
      ]
     },
     "execution_count": 1367,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# obtendo código e nome do órgão julgador \n",
    "\n",
    "codigo = dados_dict['hits']['hits'][0]['_source']['orgaoJulgador']['codigo']\n",
    "orgao_julgador = dados_dict['hits']['hits'][0]['_source']['orgaoJulgador']['nome']\n",
    "orgao_julgador_original = orgao_julgador\n",
    "classe_original = dados_dict['hits']['hits'][0]['_source']['classe']['nome']\n",
    "assunto_original = dados_dict['hits']['hits'][0]['_source']['assuntos'][0]['nome']\n",
    "\n",
    "print (f'Código: {codigo} - Órgão julgador: {orgao_julgador}')\n",
    "orgao_julgador"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1368,
   "id": "22dbf17a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# requisitando\n",
    "\n",
    "payload = json.dumps({\n",
    "    \"size\": 10000,  # Aumentando o tamanho para obter todos os resultados\n",
    "    \"query\": {\n",
    "        \"match\": {\"orgaoJulgador.codigo\": codigo}  # Filtrando pelo código do órgão julgador\n",
    "    },\n",
    "    \"sort\": [{\"dataAjuizamento\": {\"order\": \"desc\"}}]  # Ordenando por data de ajuizamento\n",
    "})\n",
    "\n",
    "# Headers da requisição\n",
    "headers = {\n",
    "    'Authorization': api_key,\n",
    "    'Content-Type': 'application/json'\n",
    "}\n",
    "\n",
    "# Realizando a requisição\n",
    "response = requests.request(\"POST\", url, headers=headers, data=payload)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1369,
   "id": "d8d6c109",
   "metadata": {},
   "outputs": [],
   "source": [
    "# iterando e inserindo os dados no data frame\n",
    "\n",
    "# Verificando se a requisição foi bem sucedida\n",
    "if response.status_code == 200:\n",
    "    dados_dict = response.json()\n",
    "    \n",
    "    # Lista para armazenar os processos formatados\n",
    "    processos = []\n",
    "    \n",
    "    # Iterando sobre os processos retornados\n",
    "    for processo in dados_dict['hits']['hits']:\n",
    "        numero_processo = processo['_source']['numeroProcesso']\n",
    "        classe = processo['_source']['classe']['nome']\n",
    "        assunto = ', '.join([assunto['nome'] for assunto in processo['_source']['assuntos']])\n",
    "        data_ajuizamento = (processo['_source']['dataAjuizamento'])\n",
    "        ultima_atualizacao = (processo['_source']['dataHoraUltimaAtualizacao'])\n",
    "        formato = processo['_source']['formato']['nome']\n",
    "        codigo = processo['_source']['orgaoJulgador']['codigo']\n",
    "        orgao_julgador = processo['_source']['orgaoJulgador']['nome']\n",
    "        municipio = processo['_source']['orgaoJulgador']['codigoMunicipioIBGE']\n",
    "        grau = processo['_source'].get('grau')\n",
    "        \n",
    "        # Movimentos do processo\n",
    "        movimentos = processo['_source'].get('movimentos', [])\n",
    "        \n",
    "        # Última movimentação\n",
    "        if movimentos:\n",
    "            ult_mov = movimentos[-1]\n",
    "            situacao = ult_mov['nome']\n",
    "            ultimo_mov = ult_mov['dataHora']\n",
    "        else:\n",
    "            ult_mov = None\n",
    "            situacao = None\n",
    "            ultimo_mov = None\n",
    "        \n",
    "        # Adicionando os dados formatados à lista de processos\n",
    "        processos.append([\n",
    "            numero_processo, classe, assunto, data_ajuizamento, ultima_atualizacao, formato,\n",
    "            codigo, orgao_julgador, municipio, grau,\n",
    "            movimentos, situacao, ultimo_mov\n",
    "        ])\n",
    "    \n",
    "    # Criando o DataFrame\n",
    "    df = pd.DataFrame(processos, columns=[\n",
    "        'numero_processo', 'classe', 'assunto', 'data_ajuizamento', 'ultima_atualizacao',\n",
    "        'formato', 'codigo', 'orgao_julgador', 'municipio', 'grau', 'movimentos', 'situacao', 'ultimo_mov'\n",
    "    ])\n",
    "    \n",
    "    # Mostrando todas as linhas do DataFrame\n",
    "    pd.set_option('display.max_rows', None)  # Mostrar todas as linhas do DataFrame \n",
    "    \n",
    "else:\n",
    "    print(f\"Erro na requisição: {response.status_code} - {response.text}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1370,
   "id": "30b20750",
   "metadata": {
    "scrolled": true
   },
   "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>numero_processo</th>\n",
       "      <th>classe</th>\n",
       "      <th>assunto</th>\n",
       "      <th>data_ajuizamento</th>\n",
       "      <th>ultima_atualizacao</th>\n",
       "      <th>formato</th>\n",
       "      <th>codigo</th>\n",
       "      <th>orgao_julgador</th>\n",
       "      <th>municipio</th>\n",
       "      <th>grau</th>\n",
       "      <th>movimentos</th>\n",
       "      <th>situacao</th>\n",
       "      <th>ultimo_mov</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00018666320248172100</td>\n",
       "      <td>Homologação da Transação Extrajudicial</td>\n",
       "      <td>Revisão, Regulamentação de Visitas</td>\n",
       "      <td>2024-06-05T00:00:00.000Z</td>\n",
       "      <td>2024-06-19T03:14:09.500Z</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>78336</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>2600054</td>\n",
       "      <td>G1</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]</td>\n",
       "      <td>Evolução da Classe Processual</td>\n",
       "      <td>2024-06-06T15:18:58.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00018232920248172100</td>\n",
       "      <td>Reclamação Pré-processual</td>\n",
       "      <td>Dissolução, Fixação</td>\n",
       "      <td>2024-06-03T00:00:00.000Z</td>\n",
       "      <td>2024-06-20T07:52:09.620Z</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>78336</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>2600054</td>\n",
       "      <td>G1</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:43:26.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:50:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:12:59.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:15:11.000Z'}]</td>\n",
       "      <td>Definitivo</td>\n",
       "      <td>2024-06-07T09:15:11.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00018224420248172100</td>\n",
       "      <td>Reclamação Pré-processual</td>\n",
       "      <td>Dissolução</td>\n",
       "      <td>2024-06-03T00:00:00.000Z</td>\n",
       "      <td>2024-06-19T03:39:08.751Z</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>78336</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>2600054</td>\n",
       "      <td>G1</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:37:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:48:57.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:06:22.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:06:56.000Z'}]</td>\n",
       "      <td>Definitivo</td>\n",
       "      <td>2024-06-07T09:06:56.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00018086020248172100</td>\n",
       "      <td>Homologação da Transação Extrajudicial</td>\n",
       "      <td>Dissolução</td>\n",
       "      <td>2024-06-03T00:00:00.000Z</td>\n",
       "      <td>2024-06-19T11:46:39.902Z</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>78336</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>2600054</td>\n",
       "      <td>G1</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T09:11:42.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 107, 'nome': 'Certidão', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-03T09:23:13.000Z'}, {'complementosTabelados': [{'codigo': 3, 'valor': 36, 'nome': 'para julgamento', 'descricao': 'tipo_de_conclusao'}], 'codigo': 51, 'nome': 'Conclusão', 'dataHora': '2024-06-03T09:24:24.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-03T09:24:03.000Z'}, {'codigo': 466, 'nome': 'Homologação de Transação', 'dataHora': '2024-06-04T13:56:39.000Z'}]</td>\n",
       "      <td>Homologação de Transação</td>\n",
       "      <td>2024-06-04T13:56:39.000Z</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00018129720248172100</td>\n",
       "      <td>Reclamação Pré-processual</td>\n",
       "      <td>Revisão</td>\n",
       "      <td>2024-06-03T00:00:00.000Z</td>\n",
       "      <td>2024-06-19T05:51:17.159Z</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>78336</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>2600054</td>\n",
       "      <td>G1</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T10:50:19.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:02:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:22:55.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:23:25.000Z'}]</td>\n",
       "      <td>Definitivo</td>\n",
       "      <td>2024-06-07T09:23:25.000Z</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        numero_processo                                  classe  \\\n",
       "0  00018666320248172100  Homologação da Transação Extrajudicial   \n",
       "1  00018232920248172100               Reclamação Pré-processual   \n",
       "2  00018224420248172100               Reclamação Pré-processual   \n",
       "3  00018086020248172100  Homologação da Transação Extrajudicial   \n",
       "4  00018129720248172100               Reclamação Pré-processual   \n",
       "\n",
       "                              assunto          data_ajuizamento  \\\n",
       "0  Revisão, Regulamentação de Visitas  2024-06-05T00:00:00.000Z   \n",
       "1                 Dissolução, Fixação  2024-06-03T00:00:00.000Z   \n",
       "2                          Dissolução  2024-06-03T00:00:00.000Z   \n",
       "3                          Dissolução  2024-06-03T00:00:00.000Z   \n",
       "4                             Revisão  2024-06-03T00:00:00.000Z   \n",
       "\n",
       "         ultima_atualizacao     formato  codigo  \\\n",
       "0  2024-06-19T03:14:09.500Z  Eletrônico   78336   \n",
       "1  2024-06-20T07:52:09.620Z  Eletrônico   78336   \n",
       "2  2024-06-19T03:39:08.751Z  Eletrônico   78336   \n",
       "3  2024-06-19T11:46:39.902Z  Eletrônico   78336   \n",
       "4  2024-06-19T05:51:17.159Z  Eletrônico   78336   \n",
       "\n",
       "                                                                     orgao_julgador  \\\n",
       "0  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "1  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "2  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "3  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "4  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "\n",
       "   municipio grau  \\\n",
       "0    2600054   G1   \n",
       "1    2600054   G1   \n",
       "2    2600054   G1   \n",
       "3    2600054   G1   \n",
       "4    2600054   G1   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         movimentos  \\\n",
       "0  [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]   \n",
       "1                                                                                                                                                                                                                                       [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:43:26.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:50:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:12:59.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:15:11.000Z'}]   \n",
       "2                                                                                                                                                                                                                                   [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:37:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:48:57.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:06:22.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:06:56.000Z'}]   \n",
       "3                                                                                                                           [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T09:11:42.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 107, 'nome': 'Certidão', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-03T09:23:13.000Z'}, {'complementosTabelados': [{'codigo': 3, 'valor': 36, 'nome': 'para julgamento', 'descricao': 'tipo_de_conclusao'}], 'codigo': 51, 'nome': 'Conclusão', 'dataHora': '2024-06-03T09:24:24.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-03T09:24:03.000Z'}, {'codigo': 466, 'nome': 'Homologação de Transação', 'dataHora': '2024-06-04T13:56:39.000Z'}]   \n",
       "4                                                                                                                                                                                                                                   [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T10:50:19.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:02:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:22:55.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:23:25.000Z'}]   \n",
       "\n",
       "                        situacao                ultimo_mov  \n",
       "0  Evolução da Classe Processual  2024-06-06T15:18:58.000Z  \n",
       "1                     Definitivo  2024-06-07T09:15:11.000Z  \n",
       "2                     Definitivo  2024-06-07T09:06:56.000Z  \n",
       "3       Homologação de Transação  2024-06-04T13:56:39.000Z  \n",
       "4                     Definitivo  2024-06-07T09:23:25.000Z  "
      ]
     },
     "execution_count": 1370,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49570cc6",
   "metadata": {},
   "source": [
    "# Limpeza dos Dados:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1371,
   "id": "0b568433",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1440 entries, 0 to 1439\n",
      "Data columns (total 13 columns):\n",
      " #   Column              Non-Null Count  Dtype \n",
      "---  ------              --------------  ----- \n",
      " 0   numero_processo     1440 non-null   object\n",
      " 1   classe              1440 non-null   object\n",
      " 2   assunto             1440 non-null   object\n",
      " 3   data_ajuizamento    1440 non-null   object\n",
      " 4   ultima_atualizacao  1440 non-null   object\n",
      " 5   formato             1440 non-null   object\n",
      " 6   codigo              1440 non-null   int64 \n",
      " 7   orgao_julgador      1440 non-null   object\n",
      " 8   municipio           1440 non-null   int64 \n",
      " 9   grau                1440 non-null   object\n",
      " 10  movimentos          1440 non-null   object\n",
      " 11  situacao            1428 non-null   object\n",
      " 12  ultimo_mov          1428 non-null   object\n",
      "dtypes: int64(2), object(11)\n",
      "memory usage: 146.4+ KB\n"
     ]
    }
   ],
   "source": [
    "# verificar o tipo das colunas\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1029c001",
   "metadata": {},
   "source": [
    "* Existem alguns valores ausentes. Como são poucos, iremos excluir as linhas correspondentes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1372,
   "id": "daa937a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# verificar valores inexistentes ou nulos\n",
    "# escluindo as linhas nulas\n",
    "\n",
    "df.dropna(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1373,
   "id": "0daea74c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Número de linhas duplicadas: 37\n"
     ]
    }
   ],
   "source": [
    "# há dados duplicados? \n",
    "\n",
    "duplicatas = df.duplicated(subset=['numero_processo'])\n",
    "df_duplicatas = df[duplicatas]\n",
    "print('Número de linhas duplicadas:', df_duplicatas['numero_processo'].count())\n",
    "\n",
    "# excluir os duplicados do df original \n",
    "\n",
    "# df.drop_duplicates(inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1374,
   "id": "235d9ab5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1428, 13)"
      ]
     },
     "execution_count": 1374,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# vendo a quantidades de linhas que restou\n",
    "\n",
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1375,
   "id": "cb832bb4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "G1    1428\n",
       "Name: grau, dtype: int64"
      ]
     },
     "execution_count": 1375,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# verificar a coluna grau, quantos valores há\n",
    "\n",
    "df['grau'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1376,
   "id": "e19b5a2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2600054    1428\n",
       "Name: municipio, dtype: int64"
      ]
     },
     "execution_count": 1376,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# verificar a coluna municipio, quantos valores há\n",
    "\n",
    "df['municipio'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1377,
   "id": "e5c5c069",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "78336    1428\n",
       "Name: codigo, dtype: int64"
      ]
     },
     "execution_count": 1377,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# verificar a coluna codigo, quantos valores há\n",
    "\n",
    "df['codigo'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1378,
   "id": "89235eac",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Eletrônico    1038\n",
       "Físico         390\n",
       "Name: formato, dtype: int64"
      ]
     },
     "execution_count": 1378,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# verificar se há processo físico\n",
    "\n",
    "df['formato'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9be76ed6",
   "metadata": {},
   "source": [
    "A depender do caso concreto:\n",
    "* Se só existe um valor, ele nada nos diz, então iremos excluir essas colunas.\n",
    "* Exceção para o caso dos processos físicos e eltrônicos, que são importantes para mais à frente serem trabalhados."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1379,
   "id": "6aa824d3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# excluindo as colunas \n",
    "\n",
    "df.drop(columns=['grau', 'municipio', 'codigo'], inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1380,
   "id": "58909935",
   "metadata": {},
   "outputs": [],
   "source": [
    "# resetando o index\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1381,
   "id": "ee5e13e9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# converter as datas para datatime\n",
    "df['data_ajuizamento'] = pd.to_datetime(df['data_ajuizamento'])\n",
    "df['ultimo_mov'] = pd.to_datetime(df['ultimo_mov'])\n",
    "df['ultima_atualizacao'] = pd.to_datetime(df['ultima_atualizacao'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1382,
   "id": "8f67820a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\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>numero_processo</th>\n",
       "      <th>classe</th>\n",
       "      <th>assunto</th>\n",
       "      <th>data_ajuizamento</th>\n",
       "      <th>ultima_atualizacao</th>\n",
       "      <th>formato</th>\n",
       "      <th>orgao_julgador</th>\n",
       "      <th>movimentos</th>\n",
       "      <th>situacao</th>\n",
       "      <th>ultimo_mov</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00018666320248172100</td>\n",
       "      <td>Homologação da Transação Extrajudicial</td>\n",
       "      <td>Revisão, Regulamentação de Visitas</td>\n",
       "      <td>2024-06-05 00:00:00+00:00</td>\n",
       "      <td>2024-06-19 03:14:09.500000+00:00</td>\n",
       "      <td>Eletrônico</td>\n",
       "      <td>CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]</td>\n",
       "      <td>Evolução da Classe Processual</td>\n",
       "      <td>2024-06-06 15:18:58+00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        numero_processo                                  classe  \\\n",
       "0  00018666320248172100  Homologação da Transação Extrajudicial   \n",
       "\n",
       "                              assunto          data_ajuizamento  \\\n",
       "0  Revisão, Regulamentação de Visitas 2024-06-05 00:00:00+00:00   \n",
       "\n",
       "                ultima_atualizacao     formato  \\\n",
       "0 2024-06-19 03:14:09.500000+00:00  Eletrônico   \n",
       "\n",
       "                                                                     orgao_julgador  \\\n",
       "0  CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         movimentos  \\\n",
       "0  [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]   \n",
       "\n",
       "                        situacao                ultimo_mov  \n",
       "0  Evolução da Classe Processual 2024-06-06 15:18:58+00:00  "
      ]
     },
     "execution_count": 1382,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualizando após as alterações\n",
    "\n",
    "df.head(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1383,
   "id": "dda13645",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1428 entries, 0 to 1439\n",
      "Data columns (total 10 columns):\n",
      " #   Column              Non-Null Count  Dtype              \n",
      "---  ------              --------------  -----              \n",
      " 0   numero_processo     1428 non-null   object             \n",
      " 1   classe              1428 non-null   object             \n",
      " 2   assunto             1428 non-null   object             \n",
      " 3   data_ajuizamento    1428 non-null   datetime64[ns, UTC]\n",
      " 4   ultima_atualizacao  1428 non-null   datetime64[ns, UTC]\n",
      " 5   formato             1428 non-null   object             \n",
      " 6   orgao_julgador      1428 non-null   object             \n",
      " 7   movimentos          1428 non-null   object             \n",
      " 8   situacao            1428 non-null   object             \n",
      " 9   ultimo_mov          1428 non-null   datetime64[ns, UTC]\n",
      "dtypes: datetime64[ns, UTC](3), object(7)\n",
      "memory usage: 122.7+ KB\n"
     ]
    }
   ],
   "source": [
    "# transformar as colunas em formatos melhores de se trabalhar\n",
    "\n",
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1384,
   "id": "ac797662",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numero_processo                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   00018666320248172100\n",
       "classe                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                          Homologação da Transação Extrajudicial\n",
       "assunto                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             Revisão, Regulamentação de Visitas\n",
       "data_ajuizamento                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                             2024-06-05 00:00:00+00:00\n",
       "ultima_atualizacao                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                    2024-06-19 03:14:09.500000+00:00\n",
       "formato                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                     Eletrônico\n",
       "orgao_julgador                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                        CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA\n",
       "movimentos            [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]\n",
       "situacao                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 Evolução da Classe Processual\n",
       "ultimo_mov                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                   2024-06-06 15:18:58+00:00\n",
       "Name: 0, dtype: object"
      ]
     },
     "execution_count": 1384,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.set_option('display.max_columns', None)  # Mostra todas as colunas\n",
    "pd.set_option('display.max_colwidth', None)  # Largura máxima das colunas\n",
    "\n",
    "df.iloc[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1385,
   "id": "28ca5ff4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# converter as strings para minúsculas \n",
    "\n",
    "colunas = ['classe', 'assunto', 'formato', 'orgao_julgador', 'situacao']\n",
    "\n",
    "for coluna in colunas:\n",
    "    df[coluna] = df[coluna].str.lower()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "910900e0",
   "metadata": {},
   "source": [
    "# Atenção:\n",
    "\n",
    "Aqui, vamos calcular, em dias:\n",
    "- Em quanto tempo o processo foi resolvido, estando com baixa definitiva ou arquivado definitivamente, subtraindo a data do último movimento pela data do ajuizamento;\n",
    "- Por quanto tempo o processo não julgado está tramitando. Nesse caso, o cálculo é diferente, pois considera, ao invés da data do último movimento, a data atual.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1386,
   "id": "86536751",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Convertendo as colunas de data para datetime\n",
    "df['data_ajuizamento'] = pd.to_datetime(df['data_ajuizamento'])\n",
    "df['ultimo_mov'] = pd.to_datetime(df['ultimo_mov'])\n",
    "df['ultima_atualizacao'] = pd.to_datetime(df['ultima_atualizacao'])\n",
    "\n",
    "# Função para calcular contagem de dias conforme a situação\n",
    "def calcular_contagem_dias(row):\n",
    "    # Verificar se as datas são tz-aware ou tz-naive\n",
    "    if row['ultimo_mov'].tzinfo is None:\n",
    "        row['ultimo_mov'] = row['ultimo_mov'].tz_localize('UTC')\n",
    "    if row['data_ajuizamento'].tzinfo is None:\n",
    "        row['data_ajuizamento'] = row['data_ajuizamento'].tz_localize('UTC')\n",
    "        \n",
    "    if 'definitivo' in row['situacao'].lower() or 'baixa definitiva' in row['situacao'].lower():\n",
    "        return (row['ultimo_mov'] - row['data_ajuizamento']).days\n",
    "    else:\n",
    "        return (pd.Timestamp.now(tz='UTC') - row['data_ajuizamento']).days\n",
    "\n",
    "# Aplicar a função usando apply\n",
    "df['contagem_dias'] = df.apply(calcular_contagem_dias, axis=1)\n",
    "\n",
    "# Média de tempo para julgar (geral)\n",
    "media_tempo_geral = df['contagem_dias'].mean().astype(int)\n",
    "\n",
    "# Média de tempo para julgar por assunto\n",
    "media_tempo_por_assunto = df.groupby('assunto')['contagem_dias'].mean().astype(int)\n",
    "\n",
    "# Média de tempo para julgar por classe\n",
    "media_tempo_por_classe = df.groupby('classe')['contagem_dias'].mean().astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1387,
   "id": "8ea8ffaf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>numero_processo</th>\n",
       "      <th>classe</th>\n",
       "      <th>assunto</th>\n",
       "      <th>data_ajuizamento</th>\n",
       "      <th>ultima_atualizacao</th>\n",
       "      <th>formato</th>\n",
       "      <th>orgao_julgador</th>\n",
       "      <th>movimentos</th>\n",
       "      <th>situacao</th>\n",
       "      <th>ultimo_mov</th>\n",
       "      <th>contagem_dias</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00018666320248172100</td>\n",
       "      <td>homologação da transação extrajudicial</td>\n",
       "      <td>revisão, regulamentação de visitas</td>\n",
       "      <td>2024-06-05 00:00:00+00:00</td>\n",
       "      <td>2024-06-19 03:14:09.500000+00:00</td>\n",
       "      <td>eletrônico</td>\n",
       "      <td>centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]</td>\n",
       "      <td>evolução da classe processual</td>\n",
       "      <td>2024-06-06 15:18:58+00:00</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00018232920248172100</td>\n",
       "      <td>reclamação pré-processual</td>\n",
       "      <td>dissolução, fixação</td>\n",
       "      <td>2024-06-03 00:00:00+00:00</td>\n",
       "      <td>2024-06-20 07:52:09.620000+00:00</td>\n",
       "      <td>eletrônico</td>\n",
       "      <td>centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:43:26.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:50:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:12:59.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:15:11.000Z'}]</td>\n",
       "      <td>definitivo</td>\n",
       "      <td>2024-06-07 09:15:11+00:00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>00018224420248172100</td>\n",
       "      <td>reclamação pré-processual</td>\n",
       "      <td>dissolução</td>\n",
       "      <td>2024-06-03 00:00:00+00:00</td>\n",
       "      <td>2024-06-19 03:39:08.751000+00:00</td>\n",
       "      <td>eletrônico</td>\n",
       "      <td>centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:37:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:48:57.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:06:22.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:06:56.000Z'}]</td>\n",
       "      <td>definitivo</td>\n",
       "      <td>2024-06-07 09:06:56+00:00</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00018086020248172100</td>\n",
       "      <td>homologação da transação extrajudicial</td>\n",
       "      <td>dissolução</td>\n",
       "      <td>2024-06-03 00:00:00+00:00</td>\n",
       "      <td>2024-06-19 11:46:39.902000+00:00</td>\n",
       "      <td>eletrônico</td>\n",
       "      <td>centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima</td>\n",
       "      <td>[{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T09:11:42.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 107, 'nome': 'Certidão', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-03T09:23:13.000Z'}, {'complementosTabelados': [{'codigo': 3, 'valor': 36, 'nome': 'para julgamento', 'descricao': 'tipo_de_conclusao'}], 'codigo': 51, 'nome': 'Conclusão', 'dataHora': '2024-06-03T09:24:24.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-03T09:24:03.000Z'}, {'codigo': 466, 'nome': 'Homologação de Transação', 'dataHora': '2024-06-04T13:56:39.000Z'}]</td>\n",
       "      <td>homologação de transação</td>\n",
       "      <td>2024-06-04 13:56:39+00:00</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        numero_processo                                  classe  \\\n",
       "0  00018666320248172100  homologação da transação extrajudicial   \n",
       "1  00018232920248172100               reclamação pré-processual   \n",
       "2  00018224420248172100               reclamação pré-processual   \n",
       "3  00018086020248172100  homologação da transação extrajudicial   \n",
       "\n",
       "                              assunto          data_ajuizamento  \\\n",
       "0  revisão, regulamentação de visitas 2024-06-05 00:00:00+00:00   \n",
       "1                 dissolução, fixação 2024-06-03 00:00:00+00:00   \n",
       "2                          dissolução 2024-06-03 00:00:00+00:00   \n",
       "3                          dissolução 2024-06-03 00:00:00+00:00   \n",
       "\n",
       "                ultima_atualizacao     formato  \\\n",
       "0 2024-06-19 03:14:09.500000+00:00  eletrônico   \n",
       "1 2024-06-20 07:52:09.620000+00:00  eletrônico   \n",
       "2 2024-06-19 03:39:08.751000+00:00  eletrônico   \n",
       "3 2024-06-19 11:46:39.902000+00:00  eletrônico   \n",
       "\n",
       "                                                                     orgao_julgador  \\\n",
       "0  centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima   \n",
       "1  centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima   \n",
       "2  centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima   \n",
       "3  centro judiciário de solução de conflitos e cidadania da comarca de abreu e lima   \n",
       "\n",
       "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                         movimentos  \\\n",
       "0  [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-05T11:46:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-05T11:47:53.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-06T15:15:28.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 80, 'nome': 'Outros documentos', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-06T15:21:16.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-06T15:18:58.000Z'}]   \n",
       "1                                                                                                                                                                                                                                       [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:43:26.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:50:31.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 13, 'nome': 'realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:12:59.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:15:11.000Z'}]   \n",
       "2                                                                                                                                                                                                                                   [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T12:37:16.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 9, 'nome': 'designada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-03T12:48:57.000Z'}, {'complementosTabelados': [{'codigo': 15, 'valor': 14, 'nome': 'não-realizada', 'descricao': 'situacao_da_audiencia'}], 'codigo': 12740, 'nome': 'de Conciliação', 'dataHora': '2024-06-07T09:06:22.000Z'}, {'codigo': 246, 'nome': 'Definitivo', 'dataHora': '2024-06-07T09:06:56.000Z'}]   \n",
       "3                                                                                                                           [{'complementosTabelados': [{'codigo': 2, 'valor': 2, 'nome': 'sorteio', 'descricao': 'tipo_de_distribuicao_redistribuicao'}], 'codigo': 26, 'nome': 'Distribuição', 'dataHora': '2024-06-03T09:11:42.000Z'}, {'complementosTabelados': [{'codigo': 4, 'valor': 107, 'nome': 'Certidão', 'descricao': 'tipo_de_documento'}], 'codigo': 60, 'nome': 'Expedição de documento', 'dataHora': '2024-06-03T09:23:13.000Z'}, {'complementosTabelados': [{'codigo': 3, 'valor': 36, 'nome': 'para julgamento', 'descricao': 'tipo_de_conclusao'}], 'codigo': 51, 'nome': 'Conclusão', 'dataHora': '2024-06-03T09:24:24.000Z'}, {'codigo': 14739, 'nome': 'Evolução da Classe Processual', 'dataHora': '2024-06-03T09:24:03.000Z'}, {'codigo': 466, 'nome': 'Homologação de Transação', 'dataHora': '2024-06-04T13:56:39.000Z'}]   \n",
       "\n",
       "                        situacao                ultimo_mov  contagem_dias  \n",
       "0  evolução da classe processual 2024-06-06 15:18:58+00:00             21  \n",
       "1                     definitivo 2024-06-07 09:15:11+00:00              4  \n",
       "2                     definitivo 2024-06-07 09:06:56+00:00              4  \n",
       "3       homologação de transação 2024-06-04 13:56:39+00:00             23  "
      ]
     },
     "execution_count": 1387,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(4)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec3e7008",
   "metadata": {},
   "source": [
    "# Etapa de Análise"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1388,
   "id": "d59838a1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# resultados mais comuns na situação \n",
    "\n",
    "df['situacao'].value_counts()\n",
    "\n",
    "terminado = ['definitivo', 'baixa definitiva', 'baixa', 'improcedência', 'procedência', 'procedência em parte', 'incompetência', \n",
    "       'extinção da execução ou do cumprimento da sentença', 'prescrição intercorrente', 'ausência de pressupostos processuais',\n",
    "       'ausência das condições da ação', 'desistência', 'abandono da causa']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1389,
   "id": "8f62427b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# convertendo em dt para manipular mais à frente\n",
    "\n",
    "df['data_ajuizamento'] = pd.to_datetime(df['data_ajuizamento'], format='%d/%m/%Y %H:%M:%S', errors='coerce')\n",
    "df['ultima_atualizacao'] = pd.to_datetime(df['ultima_atualizacao'], format='%d/%m/%Y %H:%M:%S', errors='coerce')\n",
    "df['ultimo_mov'] = pd.to_datetime(df['ultimo_mov'], format='%d/%m/%Y %H:%M:%S', errors='coerce')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1390,
   "id": "bc688109",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Converter a lista terminado para um conjunto (set) para melhor performance na verificação\n",
    "terminado_set = set(terminado)\n",
    "\n",
    "# Filtrar o DataFrame para obter somente os processos julgados\n",
    "df_julgados = df[df['situacao'].apply(lambda x: any(term in x.lower() for term in terminado_set))]\n",
    "\n",
    "# Filtrar o DataFrame para obter somente os processos não julgados\n",
    "df_nao_julgados = df[~df['situacao'].apply(lambda x: any(term in x.lower() for term in terminado_set))]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1391,
   "id": "39f898fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numero_processo                   00010408220088170100\n",
       "classe                                      inventário\n",
       "assunto                            arrolamento de bens\n",
       "data_ajuizamento             2008-06-09 00:00:00+00:00\n",
       "ultima_atualizacao    2023-01-15 04:46:14.496000+00:00\n",
       "Name: 1439, dtype: object"
      ]
     },
     "execution_count": 1391,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# processo mais antigo do df\n",
    "df.iloc[-1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1392,
   "id": "84ff0617",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numero_processo                   00010165320178172100\n",
       "classe                        procedimento comum cível\n",
       "assunto                  defeito, nulidade ou anulação\n",
       "data_ajuizamento             2017-06-13 00:00:00+00:00\n",
       "ultima_atualizacao    2022-09-05 19:44:49.563000+00:00\n",
       "Name: 1427, dtype: object"
      ]
     },
     "execution_count": 1392,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# processo mais antigo encontrado julgado\n",
    "df_julgados.iloc[-1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1393,
   "id": "8c230f90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "numero_processo                   00010408220088170100\n",
       "classe                                      inventário\n",
       "assunto                            arrolamento de bens\n",
       "data_ajuizamento             2008-06-09 00:00:00+00:00\n",
       "ultima_atualizacao    2023-01-15 04:46:14.496000+00:00\n",
       "Name: 1439, dtype: object"
      ]
     },
     "execution_count": 1393,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# processo mais antigo SEM julgamento\n",
    "df_nao_julgados.iloc[-1].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1394,
   "id": "3b67eca7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Porcentagem de processos físicos: 27.31%\n"
     ]
    }
   ],
   "source": [
    "# qual a porcentagem de processos físicos?\n",
    "porcentagem_processos_fisicos = (len(df[df['formato'] == 'físico']) / len(df)) * 100\n",
    "print(f\"Porcentagem de processos físicos: {porcentagem_processos_fisicos:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1395,
   "id": "4a88ac82",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantidade de processos julgados: 949\n",
      "Porcentagem de processos julgados: 66.46%\n",
      "Quantidade de processos não julgados: 479\n",
      "Porcentagem de processos não julgados: 33.54%\n"
     ]
    }
   ],
   "source": [
    "# processos não julgados/julgados - comparativo/proporção\n",
    "\n",
    "# quantidade\n",
    "quantidade_julgados = len(df_julgados)\n",
    "quantidade_nao_julgados = len(df_nao_julgados)\n",
    "total_processos = len(df)\n",
    "\n",
    "# porcentagem\n",
    "porcentagem_julgados = (quantidade_julgados / total_processos) * 100\n",
    "porcentagem_nao_julgados = (quantidade_nao_julgados / total_processos) * 100\n",
    "\n",
    "# retornos\n",
    "print(f\"Quantidade de processos julgados: {quantidade_julgados}\")\n",
    "print(f\"Porcentagem de processos julgados: {porcentagem_julgados:.2f}%\")\n",
    "print(f\"Quantidade de processos não julgados: {quantidade_nao_julgados}\")\n",
    "print(f\"Porcentagem de processos não julgados: {porcentagem_nao_julgados:.2f}%\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1396,
   "id": "eeb019a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantidade de processos ajuizados e julgados por ano:\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\thiag\\AppData\\Local\\Temp\\ipykernel_5612\\3746094335.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_julgados['ano_ajuizamento'] = df_julgados['data_ajuizamento'].dt.year\n"
     ]
    },
    {
     "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>ano</th>\n",
       "      <th>quantidade_ajuizados</th>\n",
       "      <th>quantidade_julgados</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2008</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2012</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2013</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2016</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2017</td>\n",
       "      <td>13</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>2018</td>\n",
       "      <td>18</td>\n",
       "      <td>11.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2019</td>\n",
       "      <td>99</td>\n",
       "      <td>85.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2020</td>\n",
       "      <td>345</td>\n",
       "      <td>296.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2021</td>\n",
       "      <td>257</td>\n",
       "      <td>156.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2022</td>\n",
       "      <td>212</td>\n",
       "      <td>149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2023</td>\n",
       "      <td>353</td>\n",
       "      <td>202.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2024</td>\n",
       "      <td>123</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     ano  quantidade_ajuizados  quantidade_julgados\n",
       "0   2008                     1                  0.0\n",
       "1   2012                     1                  0.0\n",
       "2   2013                     2                  0.0\n",
       "3   2016                     4                  0.0\n",
       "4   2017                    13                  2.0\n",
       "5   2018                    18                 11.0\n",
       "6   2019                    99                 85.0\n",
       "7   2020                   345                296.0\n",
       "8   2021                   257                156.0\n",
       "9   2022                   212                149.0\n",
       "10  2023                   353                202.0\n",
       "11  2024                   123                 48.0"
      ]
     },
     "execution_count": 1396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# quantidade de processos ajuizados em cada ano x julgados\n",
    "\n",
    "# ajuizados por ano\n",
    "df['ano_ajuizamento'] = df['data_ajuizamento'].dt.year\n",
    "ajuizados_por_ano = df['ano_ajuizamento'].value_counts().sort_index().rename_axis('ano').reset_index(name='quantidade_ajuizados')\n",
    "\n",
    "# julgados por ano\n",
    "df_julgados['ano_ajuizamento'] = df_julgados['data_ajuizamento'].dt.year\n",
    "julgados_por_ano = df_julgados['ano_ajuizamento'].value_counts().sort_index().rename_axis('ano').reset_index(name='quantidade_julgados')\n",
    "\n",
    "# junção dos dois df\n",
    "comparativo_ano = pd.merge(ajuizados_por_ano, julgados_por_ano, on='ano', how='left').fillna(0)\n",
    "\n",
    "print(\"Quantidade de processos ajuizados e julgados por ano:\")\n",
    "comparativo_ano"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1397,
   "id": "1d2785ee",
   "metadata": {},
   "outputs": [],
   "source": [
    "# marcar os processos julgados\n",
    "df['julgado'] = df['situacao'].apply(lambda x: any(term in x.lower() for term in terminado))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "970bfe0f",
   "metadata": {},
   "source": [
    "# Gráficos "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1398,
   "id": "50d90661",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Contagem dos assuntos mais frequentes\n",
    "assuntos_frequentes = df_julgados['assunto'].value_counts().head(15)\n",
    "\n",
    "# Média de tempo para julgar por assunto\n",
    "media_tempo_por_assunto = df_julgados.groupby('assunto')['contagem_dias'].mean().astype(int)\n",
    "\n",
    "# Selecionar apenas os assuntos mais frequentes\n",
    "media_tempo_por_assunto = media_tempo_por_assunto.loc[assuntos_frequentes.index]\n",
    "\n",
    "# Ordenar para melhor visualização\n",
    "media_tempo_por_assunto = media_tempo_por_assunto.sort_values(ascending=False)\n",
    "\n",
    "# Plotar o gráfico de barras verticais\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(x=media_tempo_por_assunto.values, y=media_tempo_por_assunto.index, palette='viridis')\n",
    "plt.xlabel('Média de Tempo para Julgar (dias)')\n",
    "plt.ylabel('Assunto')\n",
    "plt.title('Média de Tempo para Julgar por Assunto')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1399,
   "id": "c27bab62",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Contagem das classes mais frequentes\n",
    "classes_frequentes = df_julgados['classe'].value_counts().head(15)\n",
    "\n",
    "# Média de tempo para julgar por classe\n",
    "media_tempo_por_classe = df_julgados.groupby('classe')['contagem_dias'].mean().astype(int)\n",
    "\n",
    "# Selecionar apenas as classes mais frequentes\n",
    "media_tempo_por_classe = media_tempo_por_classe.loc[classes_frequentes.index]\n",
    "\n",
    "# Ordenar para melhor visualização\n",
    "media_tempo_por_classe = media_tempo_por_classe.sort_values(ascending=False)\n",
    "\n",
    "# Plotar o gráfico de barras verticais\n",
    "plt.figure(figsize=(12, 8))\n",
    "sns.barplot(x=media_tempo_por_classe.values, y=media_tempo_por_classe.index, palette='viridis')\n",
    "plt.xlabel('Média de Tempo para Julgar (dias)')\n",
    "plt.ylabel('Classe')\n",
    "plt.title('Média de Tempo para Julgar por Classe')\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1400,
   "id": "6c9d774c",
   "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>ano</th>\n",
       "      <th>quantidade_julgados</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>296</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2021</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    ano  quantidade_julgados\n",
       "0  2017                    2\n",
       "1  2018                   11\n",
       "2  2019                   85\n",
       "3  2020                  296\n",
       "4  2021                  156"
      ]
     },
     "execution_count": 1400,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "julgados_por_ano.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1401,
   "id": "f2af4b5e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Vquj48eMFlnvfffdZ94TmT9u/f3+dP39ea9eulSQ1bNhQb7/9doG95BUqVFBUVJRyc3N17tw5m3HNmjVT1apVbYZ16dJFY8aMUevWrW2GN2rUSP7+/nYP9buS/NvFLF++3DosMzNTa9eu1U033aTQ0FBJF/vr5+enV199VZ6entZpmzdvru7duysxMVE//fSTw+WsW7dOaWlpevjhhxUSEmIdHhERoW7dutlMe/r0af3000+688471bZtW5txDz30kKpXr17o24udP39eEydOtPn39ttv6/7779eKFStUq1Ytu7evuvfee20eX832FR8fL7PZrGeffVZVqlSxTlu3bl298sor6t69u8xms7799ltlZ2fr+eeft7lomK+vr5577jnl5eVZ19Py/w8X/fPPP20Ox3/hhRf0888/W4/8KOx0+Rc1e+6556yvsXTxau/Dhg2TJOshoYWdpyO//PKLEhMTde+991qvKO7l5aWOHTsqKytL33777WWf72o//fSTPvzwQ91444166623rMPbtGmjt956y+Zq/5IUEhKiWrVq2by/li9fLpPJpP/85z/y8Pi/rz2DBw9WxYoVbZ5/NdtOfq/zTyfJFxsbq40bNxbYw3kps9msb775RuHh4TafX9LFo1qaNWumFStWuOz0DGeZzWYtW7ZM119/vR577DHrcA8PD7388ss2ny+S+78ulxo0aJCCg4Otj++++261aNFCmzdv1smTJ5Wdna3vv/9e119/vZ599lmb53bq1Em33Xabdu7cWeDQ/X9/Xjmyf/9+7dixQ82bN7f5HL7//vslXTzyxp6wsDB17NjR+tjb29t6ZNPBgwclXd1nCgDX4PByAE4LDAxUYmKizp8/b/Pl5Er+/vtveXh4WA8VvdTNN98s6eJ5pZeqVauWzeP8ww9DQkIKfPHz9fW1e9/fFi1aFBjWqFEj6/K6dOmiOnXqqE6dOsrKytJff/2lhIQEHTx4ULt27bKe0/rv85ov/dKSr3nz5mrevLnOnj2r3bt36/Dhwzpw4ID++usvZWRkOHW151tuuUU1atRQfHy8Xn75ZUkXDyXMyMiwBvK0tDQdPXpUN998s90fQ26++WYtWLBAe/bssfkR41L5XxKjoqIKjGvWrJnmzZtnfbxr1y5ZLBalpKRo4sSJBab39vbWiRMndOrUqSve6is1NdXm0H2TySQ/Pz+FhYVp4MCBevzxx1WpUqUC8//3fK9m+8o/x93e1YAvDUM7duyQJG3YsEF79+61mS7/okb584yOjtbkyZO1YMECrVy5Uq1bt9btt9+uO++80+bHmcJOl1+jvXu2N23aVF5eXle9bEeWLFki6eIh5Ze6//77NXv2bC1YsED9+/e/4nxc4cCBA3rxxRcVGBioSZMm2dxWrGHDhmrYsKHS09P1119/6eDBgzp48KC2b9+uAwcO2LxHd+/erRo1aqhy5co28/fx8VHDhg1tzlW/mm2ne/fu+vrrrzVhwgTNnTtXbdq0Udu2bXX77bdf8cJyCQkJysjIkNlstvu+ycrKUm5urv7++2/rckvC4cOHdf78ebVq1UpeXrZfGWvUqGETBiX3f10udcsttxQY1rhxY23evFl///23QkJCdOHCBd188812DxG/+eabtWHDBu3Zs8fmlCF7fy/syX8v5ofsfJ07d9YHH3ygb775Ri+++GKB00Vq165dYF75P2Lk34Lyaj5TALgGoRuA08LCwpSYmKhDhw5dNnSnpqYqOzvb+uUqLS1Nvr6+ds8tzT+H8cKFCzbDy5cvb3feVzo/9VL2Ql9+EMnfo5SXl6dPPvlEM2bMsO7RrlKlim666SaFhYVp3759BS58Y+8ew/kX11m2bJlycnJkMpkUFhamFi1aXNXFzC5lMpnUuXNnTZs2zXqv1u+++07e3t6Kjo6WJOuF3hx9uczvb2ZmpsPl5PfCXmj/d+jN/3Fj69at2rp1q8N5nj179oqh+/rrr9eaNWsuO82/2bv3+9VsX/n1X+nLeP55xnPnznU4Tf72Uq1aNcXFxWny5MlavXq1vvvuO+vr1LVrV73++uvy9fUt9HT5r4e9Gj09PRUcHGxdn8LO0560tDStWrVKkvT444/bnaa47hOcmpqqZ555RpmZmZo0aZJq1KhhMz4rK0vjxo3TvHnzrNty9erVdfPNN6ty5co6deqUddq0tDSHPzj8+8evq9l2IiIiNH/+fE2dOlXr1q3TokWLtGjRIpUrV04PP/ywXnzxRYfn6+ZvdwcOHChwjYhL/fuomuKWkpIiSTZHgVyqWrVqNhfoc/fX5VKX+3uRmppqfT9e7Wetvc+sf7NYLFq6dKkk6bXXXtNrr71WYJqUlBStXr3aZq+2ZP9v4r/X92o+UwC4BqEbgNNuv/12bdmyRb/88ovdPRD5vv76a3344Yd65plnNGTIEPn7+1vvTf3vwwjzv4w6e9/fy7H3JSI/TOUv7/PPP9f48ePVokULDRgwQI0aNbL+oDBw4EC7V6+156WXXtK6devUu3dvde/eXREREda985ceHn61unbtqmnTpun7779X3bp19dNPP6lNmzbWQy7zg7KjK1Xnf4m/XH/zr0Rv74JW/76qcv465b+214Kr2b7y609PTy9wdf0LFy7Ix8dHHh4e1ulWrVqlsLCwK9YQGhqq2NhY5ebmaseOHVq/fr0WLVqkuLg4BQYG6qWXXir0dJe+pv/+cctisSgtLU3Vq1e/6mX/W3x8vC5cuKDGjRvbvZhfQkKCNm/eXKj7BP/7hynp8j/0XCovL08vvviiEhISNHz4cLsXb3vnnXc0Z84c3XPPPYqJidGNN95ofa07d+5sE+4CAgIcXrX639vz1X42RUREaPz48crOztaff/6pn376SYsWLdK0adNUvXp19evXz+5y81/Trl276r333rtCR+zbuHGjDh8+rD59+tgMz8vLs/lhJT9wOfOa5IcyR4e5X3o3B8n9X5dLXbhwocCPvZf+vXDFZ60jv/76q44fP6569erZ3Rt9+vRp/fjjj4qLiysQugvjaj9TABQd53QDcNr9998vb29vzZo1y+GXp4yMDOu5YfnnN+df+XXLli0Fpv/tt98kSfXr13d5vdu2bSsw7M8//5T0f4cXL126VJ6enpoyZYruuOMO6xcSi8Vivc+4vS+vlzp//rzWrVunqKgojR49Ws2aNbOGtmPHjikjI8NmHoXZ65Kvfv36ioyM1OrVq7VmzRplZ2dbDy2XLn5JDg0NVUJCgt3zxvNvg3XDDTc4XMaNN94oyf7rs2vXLpvH+a/lzp077c5rwoQJmjZtmvWwxuJwNdtX/vmd9raNt956S02aNNGRI0es88w/zPxSBw8e1LvvvmvdS79q1Sq98cYbSktLk6enp5o0aaLnnnvOequ4/HNNCztd/rL/fY5qfj0ZGRnW9SnsPO3JP5z11Vdf1ahRowr8i42NlclkuuJ9gr29ve2OP3z4sMPnXOqDDz7QTz/9pM6dO+vRRx+1O83SpUtVuXJlTZw4Ubfeeqs1iF24cEFHjx6V9H/v0xtvvFEnTpwocJ2HrKws63s639VsOwsXLtSoUaNksVjk4+Ojli1b6qWXXrIeLn65XtetW1c+Pj7W0zP+7YsvvtDkyZOte5rtiY2N1VtvvaWcnByb4efPn7cJevlXF3fmNalbt678/Pzsvj/Onz+vhIQEm2Hu/rpcytHfC09PTzVs2FB169aVr6+vtm/fbvfzrTCftY7kvxefeeYZu+/FDz/8UH5+ftqwYUOBW5MVxtV8pgBwDUI3AKeFhYXp0UcfVUpKigYMGFDgF//U1FS9/PLLOnTokO6++27rL/b5F+P68MMPbb5Unjp1Sv/73//k4eFhEyRdZf78+TZf5g4dOqQvv/xSVatWtf4gUK5cOeXm5hYIrJMnT9aRI0ckqcC9Zv/Nx8dHnp6eOn/+vM2XsQsXLlhvw3LpF+X8cyWvNN98Xbp00aFDh/T555/L39+/wH1yu3XrpgsXLui9996zOYfy999/V1xcnKpWrarbbrvN4fzzf2yYOXOmzZfqffv2FbjAXWhoqFq0aKF169Zp5cqVNuO++eYbffzxx1q3bt1VnQZQVFezfXXu3FkeHh6aOnWqzbSHDx/WDz/8oLCwMIWFhalLly7y9PTU+PHjdebMGet0ZrNZo0eP1ueff27dZg4ePKi5c+fq66+/tqkr/8tx/qHShZ0u/xZ3n3zyic0X7NTUVMXGxtqsc2Hn+W/Hjh3Tb7/9prCwMIdHrYSFhemWW25xeJ/gfHXr1tXRo0dtjgo5duyY9WJYl/Ptt9/qs88+04033mj3vtL5ypUrp6ysLJtrN+Tm5mrMmDHWvbf577H8i3q98847Nu+7Tz75pECovZptZ8eOHZo9e3aBXuSHS0e9li5+RnTq1En79u3Tl19+aTNu06ZNeu+99xQXF1fgdI5LNWzYULm5udqwYYN12O+//6709HSbC0bWqlVLnp6e+vXXX22O9vnxxx8L/Ij2b97e3rr//vuVkJBgs03l5eXp/fffLxD43f11udSkSZNs9vCvWrVKGzZs0J133qng4GD5+Pjovvvu06lTp/Txxx/bPPf777/XunXrdOONN1516M7MzNSKFSvk5+enu+66y+40/v7+io6OtnvR0cK4ms8UAK7B4eUAiuSFF15QUlKSFi1apLvuukvt2rVTWFiYTp8+rZ9//lnJyclq1qyZ3nnnHetzWrZsqf79+2vmzJnq0qWL2rVrp9zcXK1evVopKSl64YUX7B7eWlQeHh7q3bu3oqOjZbFYtGLFCl24cEGTJk2yHkbYpUsXbd26VQ8++KA6duwob29vbdq0STt37lTlypWVlJSks2fPXnY55cqV0z333KP4+Hj16tVLrVu3VkZGhn788UedOXNGlSpVUmpqqvLy8uTh4aGgoCD5+Pho06ZNeuedd2x+oLCnc+fOev/997V792517969wDmCTz31lNavX6/Fixdr9+7datmypU6dOqXVq1fLy8tL77333mVDsL+/v0aPHq0hQ4aoV69e6tChgywWi+Lj41WtWrUCe8dGjRqlfv36afDgwWrbtq3q16+vhIQErV27VpUqVdIbb7xxhVfGta5m+6pXr56ee+45TZgwQV27dlW7du1ksVi0fPlyZWdna+zYsZIuBpeXX35ZY8eOVadOnXTXXXcpICBAP/30k/bv36+2bduqa9eukqTevXtr3rx5+uCDD7R582Y1aNBASUlJio+Pl5+fn/V+woWdrlatWnrppZf0zjvvqHv37rrrrrtUrlw5rV27VsePH1fv3r2tP7wUdp7/tmTJElkslgIXUPu3nj17avPmzZe9T3Dv3r01evRoPfzww+rcubOysrL0/fffKzw83Lr3z57Dhw9r5MiRMplMat26tb766itlZ2fb7AmuWLGiHn30UXXp0kWfffaZevbsqbvvvltms1k///yzEhISFBwcrOTkZJ09e1bVqlXTfffdpx9++EHx8fFKSEhQq1attG/fPm3atEnXX3+9Tei4mm3niSee0PLly/Xf//5X8fHxqlWrlo4dO6YVK1aoatWqiomJuWwvX375ZW3ZskVjx47VqlWr1KhRI+v9oD09PTVmzBibq3r/28MPP6zvvvtOQ4YMUdeuXeXp6amlS5fK29tbAwYMsE4XHBysu+++Wz/88IN69eqltm3b6siRI1qzZo1uvvnmK+75HTp0qNavX68333xTa9asUd26dfX777/rwIEDKleunE2NpeF1yXf48GF169ZNd955p06dOqVVq1apWrVqevXVV21ewz/++ENTp07V5s2b1aRJEx08eND62Zf/+XE1VqxYofT0dHXp0sXhtUwkqUePHtbz1Z977rmrWsbVfKYAcA1CN4Ai8fT0tAaRuXPnavfu3Vq7dq28vLzUoEEDa3D79xXGR44cqRtvvFFz5szRkiVL5O3trRtvvFGPPfaY7rzzTkNqffrpp3Xu3DnNnz9fWVlZatq0qQYPHmyzVyj/XL85c+ZowYIFqlixourUqaNx48bJ19dXzz77rNatW3fZc9glacyYMbruuuu0atUqzZo1S1WrVlWjRo301FNPadmyZfryyy+1adMmtWrVSj4+Pnr99dc1YcIEzZ49WxUqVLhs6K5WrZpatWqlX375pcCVbaWLF3b78ssv9emnn2rZsmWaM2eOKlWqpA4dOujpp58u1J6Xu+++W1988YUmTpyo5cuXq3z58urTp48aNWqkF154wWbaOnXqaNGiRZo8ebLWrVunDRs2qFq1auratasGDRpU4MrzxeFqtq9nn31WderU0ZdffqklS5bIZDLppptu0vPPP68mTZpYp3v00UdVp04dff755/rhhx+Ul5en0NBQDRs2TA899JD1MN6AgADNmjVLU6ZM0S+//KJff/1VFSpUUNu2bTV48GDrYZuFnU6SHnvsMdWuXVuff/654uPjJV08NH7IkCE2e6SuZp6Xyr8VmL3t6VIdOnTQqFGj9Oeff+qff/6xO01MTIxyc3M1Z84cff3116pevboGDhyoVq1aqUePHg7nfeLECWVlZUmSpk2bZnea66+/Xo8++qiGDh0qPz8/LV26VHPmzFFwcLDq1aunkSNHav/+/YqNjdW6devUq1cvSdK4ceMUFRWluLg4ff3116pdu7YmTZqkuLi4AofnFnbbCQ0N1ddff63Jkydry5YtWrNmjYKCgtSlSxcNHjz4ihcODA4O1vz58/XJJ59o5cqV2rp1q4KDg9WuXTsNGjRIDRs2vOzzb7zxRn322Wf66KOP9M0338jT01ONGjXS4MGDC5xzHxsbq2rVqik+Pl4zZ87UDTfcoAkTJujw4cNXDN3BwcH6+uuv9cEHH2j9+vXatGmTmjRpoq+++koDBw60CYal4XXJ99FHH2nu3LlauHChypcvr27dumnIkCE2V2zPfw2nTJli/ayvXLmyevfuraeffrrQe9Uvlf9evNIPYLfccotq1aqlQ4cOaf369apXr95VLaewnykAXMNkudLJiQDg5hYtWqThw4dr+PDhDs8RBXD14uLiNGLECI0cObLYbiWG4nX48GGFhIQUODomOztbzZo1U6tWrTR9+vQSqs71XnnlFS1evFjffPONIUdcASibOKcbAAA4Jf/89vwr3qP0eeaZZ9S6dWub87Ql6csvv1ROTo5atmxZQpUBgPvg8HIAAHBV8s/rXrdunUwmk80pGihd+vbtq9GjR+v+++/XXXfdpfLly2vXrl3asGGDGjRowBEOAFAIhG4AAHBVdu7cqVWrVqly5coaNmxYiZy3j+IRExOjatWqaebMmVq+fLkyMjKs5+kPHDjQ5p7gAAD7OKcbAAAAAACDcE43AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBCuXu5ASkqKzGZzSZdRYry8vBQUFFTm+2APvXGM3jhGb+yjL47RG8fojWP0xjF6Yx99cYzeOEZvLsrvwxWnK4Za3JLZbFZOTk5Jl1Hi6INj9MYxeuMYvbGPvjhGbxyjN47RG8fojX30xTF64xi9KRwOLwcAAAAAwCCEbgAAAAAADELoBgAAAADAIIRuAAAAAAAMQugGAAAAAMAgXL0cAAAAAJxkNpuVkZFR0mUUK5PJpNTUVOXk5MhisZR0OYbx8/OTl1fRIzOhGwAAAACcYDablZ6erooVK8rDo+wcRGwymeTl5SWz2VxqQ3deXp5SU1Pl7+9f5OBddrYMAAAAAHChjIyMMhe4ywoPDw9VrFjRJUcxsHUAAAAAgJMI3KWXq15bthAAAAAAAAxC6AYAAAAAwCBcSA0AAAAAXMg7M13KTC+ZhZf3V055f6efnp6erp49e8rPz0/z5s2Tt7e3ddzQoUMVEhKi4cOHF2pe+dO/8sorTtdzOVu3btULL7ygr7/+WiEhIYYswxUI3QAAAADgSpnpujBsQIksuty7n0pFCN1r1qxRYGCgUlJStH79erVv3946btSoUVd1nvPVTl9a0QEAAAAAgCTp+++/V4sWLdSsWTN9++23NuMCAgJUoUKFQs/raqcvrdjTDQAAAADQoUOHtHv3bvXp00eZmZl69913dejQIdWqVUuS7eHly5cvV2xsrH788Ufr8/99uPelh5f37dtXp06dKrDM6OhoDRs2TGlpaZo+fbo2btyo5ORkBQQE6Pbbb9czzzwjX19fSdK2bds0ZcoUHThwQDVr1lR0dLTNvHJzc7Vo0SItXbpUJ0+eVEhIiHr37q3OnTtbp5k3b56+/fZbJSYmqnLlyurYsaP69+8vk8lkREslEboBAAAAALq4l7tcuXJq2bKlzGazxo0bp2+//VaDBw8u8rynTp2qvLw86+P58+dr6dKl6tWrlyRp7NixSkxM1Jtvvqng4GDt3LlT7777rsLCwvTAAw/oxIkTeumll9ShQwcNHz5cCQkJGjdunM0ypkyZohUrVuj5559XRESEfvvtN02YMEHZ2dnq0aOHNmzYoFmzZumNN95QWFiYdu7cqXfeeUfVq1fXPffcU+R1dITQDQAAAABlXG5urlauXKnbbrtN5cqVkyTdeuutWrFihZ588knrMGcFBgZa/79+/XrFxcVp9OjRqlu3riSpefPmatSokerXry9JCgkJ0eLFi3XgwAFJ0rJlyxQcHKwhQ4bI09NTNWvWVGJioj7++GNJFy8At2TJEj3zzDO6++67JUmhoaE6ceKEZs2ape7du+v48ePy8fFR9erVdd111+m6665T1apVVa1atSKt25VwTjcAAAAAlHG//vqrkpOT1a5dO+uwdu3aKS0tTWvWrHHZcv7++2/FxsbqqaeeUqtWrazDu3btqpMnT2rq1Kl67bXX9NBDD2nXrl3WveMHDhzQDTfcIE9PT+tzbrzxRuv/Dx8+LLPZrEaNGtksr3HjxkpJSVFKSoruueceBQYGKiYmRk888YSmTJkik8mk6667zmXrZw97ugEAAACgjIuPj5ckvfHGGwXGLV26VPfdd5/d51ksFuv50Gaz+bLLOH36tF599VW1b99evXv3tpnHq6++qgMHDujuu+9W27ZtNWDAAH344YcFlnUpLy8vh+Py5Yd2Ly8vBQQEaPr06dq5c6d+//13/fbbb5o/f74effRRPfLII5etvSgI3QAAAABQhp09e1a//vqroqOjbcKwJMXFxWn58uXau3evzfD8wJuenm69QvmxY8ccLiMjI0PDhw9XWFiYXnjhBZtx+/bt06ZNm/Txxx+rYcOGki4G+GPHjql69eqSpBtuuEHff/+9cnJyrPcO37Nnj3UeNWvWlKenp7Zv3249RF2Stm/fruDgYFWsWFErV65UWlqaunfvrkaNGumxxx7TBx98oB9//LF0h+5z587pq6++0tatW5Wdna2GDRuqf//+Cg0NlSRNnjxZa9eutXlOcHCwpk6dKuniLxdxcXFavXq10tPTFRERoQEDBlzTN0cHAAAAgGvFihUrlJubqwcffFA1a9a0GRcTE6P4+PgCtw+LioqSh4eHPvvsM/Xu3VsHDx7U/Pnz7c4/NzdXo0aNUlZWlkaNGqXz589bx3l4eCg4OFienp5au3atgoKCdP78ec2aNUvJycnKycmRJHXp0kWLFy/We++9p5iYGB0/flxfffWVdT4VKlRQ586dNWPGDFWsWFGRkZHavHmzlixZogEDBshkMikrK0tTp06Vv7+/GjdurNOnT2vr1q1q0qSJq1ppV4mH7vfee08mk0mvvvqqfH19NW/ePI0ePVoTJkyQr6+vDh06pO7du6tjx47W51x6g/WFCxdq5cqVGjRokIKDgzV79mzFxsZq3LhxNocbAAAAACg9vDPTpcx0w+ZvMpl0PitT8i1v2DKuFfHx8br55psLBG5Jql69um6//XatXr1aYWFh1uE1atTQf/7zH82aNUvfffedbrjhBj377LMaMWJEgXkkJiZq06ZNki6G+Etdd911mjt3rl555RV98cUX+uabbxQcHKxWrVrpgQce0IYNG2SxWFSlShWNGzdOkyZN0lNPPaXrrrtOMTExGj9+vHVegwcPVqVKlTR9+nSlpKSoRo0aev755623DOvcubNSU1P11Vdf6fTp06pYsaLuuOMOPfXUU65oo0Mmi6OD34tBamqqPvvsM/Xs2dP6Ah48eFAvv/yyYmNjVbduXfXv319DhgxRixYtCjzfbDbriSee0EMPPaR7771X0sXDGwYOHKhBgwapdevWTteWmJho/VWlLPL29lbVqlXLfB/soTeO0RvH6I199MUxeuMYvXGM3jhGb+xz5754J5/WhWEDDF1GhQ+/kLnydQ57c/78eQUEBBSszeAfBC6rvL9yyvsbMuvBgwerVq1aeumll+Tl5SWz2ezwXOrSwtFrLP3f++dKSnRXcMWKFTV06FDr47Nnz2rp0qWqXLmy9fLuOTk51kPN/+3gwYPKzMxUVFSUdZi/v7/q1Kmj3bt3Fyl0AwAAAIAzcsr7SwYF35KQlpamI0eO6MiRI7rllltKuhy3c80cf/3JJ59o9erV8vb21ssvv6xy5crp8OHDMplMWr58uf788095eHjopptuUt++feXn56ekpCRJUpUqVWzmFRQUpDNnzhSpnrJ+aHr++pf1PthDbxyjN47RG/voi2P0xjF64xi9cYze2OfOfcm/YrbRLtcbk8lUbHWUpD///FNjxoxRvXr11KlTJ5txpX39TSaT9cJt/1bY98018+7q1KmT7rnnHq1YsULvv/++Ro0apSNHjshkMqlq1aoaNmyYTp48qZkzZ+rw4cN6/fXXlZWVJangyvr4+Cg9vWiHcwQFBRXp+aUFfXCM3jhGbxyjN/bRF8fojWP0xjF64xi9sc8d+5KSdKpYlnO53qSmprrlDxZXq3379mrfvn2B4WVh3Qt7CPnlXDNdyj+E/KmnntLevXsVHx+vQYMGqVOnTvL3v3hoRs2aNRUYGKiRI0dq//798vHxkXTx3O78/0tSdna2fH19i1RPSkrKFe8zV5p5eXkpKCiozPfBHnrjGL1xjN7YR18cozeO0RvH6I1j9MY+d+6LKTe3WJZzud7k5OS4Xd9cJf+c7tIuJydHiYmJdsflv3+upERD97lz57R9+3bddttt1iuSe3h4KDQ0VCkpKTKZTNbAnS//inpJSUnWw8qTk5NtbhGWkpKiWrVqFak2s9nsdheTMAJ9cIzeOEZvHKM39tEXx+iNY/TGMXrjGL2xzx374l1MF/C6XG8sFkupv5CYPZceUl7a199isRT5veFx5UmMk5KSogkTJmjXrl3WYWazWQkJCbr++uv10UcfacyYMTbP2b9/v6SLe8Zr1aql8uXL2zw/PT1dCQkJioyMLJ6VAAAAAADAgRLd012rVi01adJEn376qQYOHCh/f38tWrRIaWlp6ty5sw4dOqT33ntPixYt0m233aYTJ07os88+U5s2bayHo0dHR2v27NkKCAhQ1apVNWvWLFWuXFktW7YsyVUDAAAAAKBkQ7fJZNILL7ygOXPmaPz48UpPT1dkZKRGjRqlKlWqqEqVKnrhhRe0ePFiLVq0SP7+/mrdurX69u1rnUefPn2Um5urqVOnKjs7W5GRkRoxYkSZOKkfAAAAAHBtK/Fk6ufnpwEDBmjAAPs3tr/11lt16623Ony+h4eHYmJiFBMTY1SJAAAAAAA4pcRDNwAAQFnhnZkuZRbttqaXYzKZdD4rU/Itb9gyAABXh9ANAABQXDLTdWGY/aP7XMXzwy8I3UAJS881KSMnr0SW7eftIX/Pol1RvF27dho2bJiio6OvOG3fvn0VHR2tRx99tEjLvJz4+Hi9++67+vHHHw1bhpEI3QAAAADgQhk5eRqw8O8SWfanPRvI39N05QlRbEr0lmEAAAAAAJRm7OkGAAAAABTwxRdfKD4+XnPnzrUOyz/U++eff7b7nN9++03Tp0/XoUOHVL16dfXu3Vvvv/++vv76a4WEhCgxMVHTpk3TH3/8ofPnzys4OFj33nuvHn/8cXl4XNwnvH79es2YMUPHjh1TRESEmjVrZrOMrKwszZ49W6tWrdKZM2dUq1YtPfLII2rTpo0kKTc3V59++qlWr16ts2fPKiQkRA888IC6dOliUKcuj9ANAAAAACiyf/75R8OHD9cDDzygkSNH6p9//tH48eNtphk+fLiCgoL03nvvyc/PT7/++qsmTpyoiIgItWnTRjt27NAbb7yhhx9+WHfddZe2bdumCRMm2Mxj9OjR2rdvn4YMGaKwsDCtWbNGr7/+ukaPHq3WrVtryZIlWrdunV5//XVVqVJFGzdu1P/+9z/VqVNHjRo1KsaOXEToBgAAAAAU2YIFC9SgQQM9/fTTkqSaNWvq7NmzmjhxoqSLe6jvvfdetW3bViEhIZKkHj166Ouvv9aBAwfUpk0bLV68WFFRUdYLs4WFhSkhIUELFy6UJB06dEi//PKLYmNj1apVK0nSI488ov3792vWrFlq3bq1jh8/rnLlyqlGjRoKDg5W9+7dVbNmTYWGhhZzRy7inG4AAAAAQJHt27dPDRs2tBnWuHFj6/99fX3VrVs3bd++XR9//LGGDx+u3r1768yZM8rLu3i19wMHDqhBgwY287jxxhut/z9w4IAkFdhj3bhxY+u4bt26KSMjQ7169dKgQYP0+eefKygoSEFBQa5b2atA6AYAAACAMio5OdkaViXJYrl4uzFPT0+705vNZofz8vT0tD7fngsXLmjw4MGaNWuW/Pz8dO+992rChAmqWrXqZWv08vq/A7QdzT8vL886XWhoqGbNmqV3331XTZo00c8//6wBAwYoPj7+sssxCoeXAwAAAEAZNX/+fP3666/64osvJElpaWmSpEqVKunUqVNKT0+XxWKRyXTxNmTHjh1zOK969epp165dNsMufbx582bt3btXCxcuVHBwsCTp/PnzSklJsYbpG264QTt27LCZx549e6z/r1u3riRp+/bt1sPL8x/XqlVLkrRw4UIFBQWpffv2at68uZ5++mn997//1dq1awt173FXY083AAAAAJRRzZo106FDhxQfH6/Dhw/r448/VoUKFXTjjTcqKipKaWlpmjNnjk6ePKlVq1Zddm9xnz599Pfff2vatGk6cuSIfv75Z82YMcM6Pn+P9qpVq3Ty5Elt375dI0eOlNlsVk5OjiSpd+/e+ueffzRlyhQdOXJEK1eu1JIlS6zzqF27tlq2bKnx48dr48aNOnLkiL788kv98ssv6tOnjyQpJSVFH330kX755RedPHlSmzdv1r59+2wOUy9O7OkGAAAAgDKqRYsWGjRokL788kslJyerTp06io2Nlb+/v5o2baonnnhC33zzjb766is1btxYgwYN0tixY+3Oq06dOho9erSmT5+uuLg4hYWFqVu3bvriiy/k7e2tyMhIPfPMM4qLi9Nnn32mKlWqqH379qpatap2794tSapfv77eeecdffLJJ1q8eLFq166thx56SNOmTbMu54033tD06dP1/vvvKy0tTXXq1NFbb72l22+/XZL06KOPKjc3VxMmTFBKSoqCg4PVtWtX9evXz/iG2mGyXO6g+zIsMTHR+mtLWeTt7a2qVauW+T7YQ28cozeO0Rv76Itj9MYxd+6Nd/JpXRg2wNBlVPjwC5krX+d2vTGaO283RnLnvlwL76fz588rICCgwPD0XJMycvIMrc0RP28P+XsaG/FMJpO8vLxkNpttzrHes2ePPD09dcMNN1iHrVq1Su+9956+//57h+eJX8scvcbS/71/roQ93QAAAADgQv6eFvl7mkpo6SW3T/Wff/7R1KlTNXz4cNWvX1/Hjh3TF198ofbt27tl4HYVQjcAAAAAoMg6deqkpKQkffzxxzpz5owCAwPVvn17PfbYYyVdWokidAMAAAAAisxkMumRRx7RI488UtKlXFO4ejkAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAICT8vJK5tZgMJ6rXltCNwAAAAA4wc/PT6mpqQTvUigvL0+pqany8/Mr8ry4ejkAAAAAOMHLy0v+/v5KS0sr6VKKlclkkre3t3JycmSxlNx9wY3m7+8vL6+iR2ZCNwAAAAA4ycvLSwEBASVdRrHy9vZW1apVlZiYqJycnJIu55rH4eUAAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEG8SrqAc+fO6auvvtLWrVuVnZ2thg0bqn///goNDZUkHTx4UDNmzNCBAwdUoUIFdezYUV26dLE+Py8vT3FxcVq9erXS09MVERGhAQMGKCQkpKRWCQAAAAAASdfAnu733ntPp06d0quvvqqxY8fKx8dHo0ePVlZWllJTUzV69GhVr15dY8eOVe/evTVv3jz9+OOP1ucvXLhQK1eu1MCBA/X222/LZDIpNjZWZrO5BNcKAAAAAIASDt2pqamqWrWqBg4cqHr16ik0NFQ9e/ZUSkqKjhw5olWrVsnb21tPPvmkQkND1a5dO3Xq1ElLliyRJJnNZi1btky9evVSs2bNVLt2bQ0dOlTJycnatGlTSa4aAAAAAAAlG7orVqyooUOHKiwsTJJ09uxZLV26VJUrV1ZoaKj27NmjyMhIeXp6Wp8TFRWl48eP69y5czp48KAyMzMVFRVlHe/v7686depo9+7dxb4+AAAAAABcqsTP6c73ySefaPXq1fL29tbLL7+scuXKKSkpyRrI8wUHB0uSzpw5o6SkJElSlSpVbKYJCgrSmTNnilSPl9c105oSkb/+Zb0P9tAbx+iNY/TGPvriGL1xzJ17YzKZimU57tgbo7nzdmMkd+4L76eS487bjSsVdv2vmS516tRJ99xzj1asWKH3339fo0aNUlZWlry9vW2my3+ck5OjrKwsSQVX1sfHR+np6UWqJygoqEjPLy3og2P0xjF64xi9sY++OEZvHHPH3qQknSqW5bhjb4oLvbHPHfvC+6nk0ZvCuWZCd/7Vyp966int3btX8fHx8vHxUU5Ojs10+Y99fX3l4+Mj6eK53fn/l6Ts7Gz5+voWqZ6UlJQyfTE2Ly8vBQUFlfk+2ENvHKM3jtEb++iLY/TGMXfujSk3t1iW4469MZo7bzdGcue+8H4qOe683bhSfh+uOF0x1OLQuXPntH37dt12223y8Lh4ermHh4dCQ0OVkpKiKlWqKCUlxeY5ycnJki4eZp77/99oycnJNrcIS0lJUa1atYpUm9lsLhD4yyL64Bi9cYzeOEZv7KMvjtEbx9yxN94WS7Esxx17U1zojX3u2BfeTyWP3hROiV5ILSUlRRMmTNCuXbusw8xmsxISEnT99dcrMjJSe/bsUV5ennX8jh07VKNGDVWqVEm1atVS+fLlbZ6fnp6uhIQERUZGFuu6AAAAAADwbyUaumvVqqUmTZro008/1e7du3X48GFNmjRJaWlp6ty5s9q1a6eMjAxNmTJFR48e1dq1a/Xdd9+pW7duki6e3x0dHa3Zs2fr999/16FDhzR+/HhVrlxZLVu2LMlVAwAAAACgZA8vN5lMeuGFFzRnzhyNHz9e6enpioyM1KhRo6xXJB8xYoRmzJihYcOGKTAwUP3799edd95pnUefPn2Um5urqVOnKjs7W5GRkRoxYkSZv5IeAAAAAKDklXgy9fPz04ABAzRgwAC74+vXr68xY8Y4fL6Hh4diYmIUExNjVIkAAABuI9m3ktJScyQZd76rn7eH/D2L53xaAHB3JR66AQAA4DrpudKAxXsMXcanPRvI37N47pEMAO6uRM/pBgAAAACgNCN0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEK+SLgAAAADwzkyXMtMNm7/JZNL5rEzJt7xhywAAewjdAAAAKHmZ6bowbIChi/D88AtCN4Bi57LDy8+ePasDBw4oLy/PVbMEAAAAAMCtObWn+8KFC/r8889Vp04ddezYURs2bNDEiROVl5enGjVqaMSIEapSpYqrawUAAAAAwK04FbpnzZqlTZs2qXHjxpKkOXPmqHbt2urZs6fmzp2r2bNna8iQIYWaV1pamubMmaMtW7YoMzNTNWvW1EMPPaSIiAhJ0uTJk7V27Vqb5wQHB2vq1KmSpLy8PMXFxWn16tVKT09XRESEBgwYoJCQEGdWDQAAAAAAl3EqdP/+++/q37+/2rRpo4MHDyoxMVExMTFq3ry5zGazpk+fXuh5jR8/XufOndPQoUMVEBCg+Ph4vf3223r33Xd1/fXX69ChQ+revbs6duxofY6Hx/8dFb9w4UKtXLlSgwYNUnBwsGbPnq3Y2FiNGzdOXl6csg4AAAAAKDlOndOdmpqq66+/XpK0ZcsWeXh4qEmTJpKkChUqKDs7u1DzOXnypLZt26YBAwYoIiJCNWrU0GOPPabg4GD9/PPPysvL09GjR1WvXj0FBgZa/wUEBEiSzGazli1bpl69eqlZs2aqXbu2hg4dquTkZG3atMmZVQMAAAAAwGWcCt3VqlXT4cOHJUmbNm1SeHi4ype/eCXIP//8U9WqVSvUfCpWrKhXXnlFdevWtQ4zmUyyWCxKS0vTiRMnlJOTo9DQULvPP3jwoDIzMxUVFWUd5u/vrzp16mj37t3OrBoAAAAAAC7j1PHX9957r7766ivFx8fr+PHj1vO3P/jgA/3222967LHHCjUff39/NWvWzGbYxo0bderUKTVp0kSHDx+WyWTS8uXL9eeff8rDw0M33XST+vbtKz8/PyUlJUlSgYu2BQUF6cyZM86sGgAAAAAALuNU6O7YsaMCAgK0a9cu9erVS7fddtvFmXl56cknn9Tdd9/tVDF79uzRlClT1Lx5czVv3lzz58+XyWRS1apVNWzYMJ08eVIzZ87U4cOH9frrrysrK8u63Ev5+PgoPT3dqRrylfXzwfPXv6z3wR564xi9cYze2EdfHKM3jrlzb0wmU0mX4CImeXt7u3aOxdQbd9xujMT76crcsTdGc+ftxpUKu/5Od6l169Zq3bq1zbChQ4c6Ozv99ttvmjBhgm644QbrfHr16qVOnTrJ399fklSzZk0FBgZq5MiR2r9/v3x8fCRdPLc7//+SlJ2dLV9fX6drkS7uLQd9uBx64xi9cYze2EdfHKM3jrljb1KSTpV0CS7h5eWpqlWrunSexdUbd9xuioM79oVtpuTRm8JxOnQfP35c8+fP186dO5WRkaGKFSsqIiJCvXr1sl5krbDi4+M1Y8YMtWzZUoMHD7b+cmoymayBO1/NmjUlSUlJSdbDypOTk21uEZaSkqJatWo5u2rWeZjN5iLNw515eXkpKCiozPfBHnrjGL1xjN7YR18cozeOuXNvTLm5JV2CS5jNuUpMTHTpPIurN+643RiJ99OVuWNvjObO240r5ffhitM5M/OjR49q5MiR8vT01M0336zAwEClpKRoy5Yt+vPPPzVmzBiHFz/7txUrVujzzz9Xx44d9cgjj9jcDuyjjz5SWlqaRowYYR22f/9+SVJoaKiuu+46lS9fXrt27bKG7vT0dCUkJCg6OtqZVbMym83Kyckp0jxKA/rgGL1xjN44Rm/soy+O0RvH3LE33hZLSZfgIhaX9764euOO201xcMe+sM2UPHpTOE6F7tmzZ6tatWp688035efnZx2ekZGht956S3PnztV///vfK87n+PHjmjFjhlq0aKHu3bvr/Pnz1nE+Pj5q06aN3nvvPS1atEi33XabTpw4oc8++0xt2rSxhvro6GjNnj1bAQEBqlq1qmbNmqXKlSurZcuWzqwaAAAAAAAu41To3rVrlwYNGmQTuCXJz89P3bt317Rp0wo1n19//VW5ubnavHmzNm/ebDPujjvu0LPPPqsXXnhBixcv1qJFi+Tv76/WrVurb9++1un69Omj3NxcTZ06VdnZ2YqMjNSIESPK/En9AAAAAICS51Qy9fLychhqvby8Cn2IQY8ePdSjR4/LTnPrrbfq1ltvdTjew8NDMTExiomJKdQyAQAAAAAoLh5XnqSgevXq6YcffpDlX+dRWCwWxcfHq169ei4pDgAAAAAAd+bUnu4+ffrotdde03/+8x/ddtttCgwM1NmzZ7VhwwadOHFCr732mqvrBAAAAADA7TgVuuvVq6dXX31Vc+bM0YIFC2yGjxgxQg0bNnRZgQAAAAAAuCunrzYWFRWl2NhYZWVlKT09Xf7+/vL19XVlbQAAAAAAuDWnQ/epU6eUk5Oj0NBQmc1mzZw5U0lJSWrVqpXatm3ryhoBAAAAAHBLTl1IbevWrXrhhRe0Zs0aSdL06dO1evVqJScn6+OPP7YOBwAAAACgLHMqdMfFxalx48bq1auXMjIytHnzZnXr1k3vvvuuunfvruXLl7u6TgAAAAAA3I5TofvQoUPq1KmTypcvr61btyo3N9d6L+3GjRvrxIkTLi0SAAAAAAB35FTo9vHxUW5urqSLh5oHBgaqVq1akqSzZ8/K39/fdRUCAAAAAOCmnLqQWoMGDbR06VKlpaVp48aNuvPOOyVJBw4c0IIFCxQREeHKGgEAAAAAcEtO7el+9NFHlZycrIkTJ6patWrq2bOnJGns2LHKyclRv379XFokAAAAAADuyKk93dWqVdO4ceN07tw5BQYGWoe/9NJLqlOnjry9vV1VHwAAAAAAbsupPd2SZDKZVK5cOevjjRs3au/evUpKSnJJYQAAAAAAuDunQvfx48f1/PPP65tvvpEkzZ07V+PHj9fMmTP13//+V3v27HFljQAAAAAAuCWnQvfs2bPl6empW265RWazWT/88INatWqlGTNmqGnTppo3b56r6wQAAAAAwO04Fbp37dqlBx98UPXq1dPu3buVkZGhe+65R35+frrnnnu0f/9+V9cJAAAAAIDbcSp05+bmqkKFCpKkP//8U+XKlbPeJiwvL0+enp6uqxAAAAAAADflVOiuWbOmNm3apJSUFG3YsEGNGzeWp6enzGaz4uPjVbNmTVfXCQAAAACA23EqdPfu3Vtr1qzR008/rbS0NHXr1k2SNGTIEO3YscN6324AAAAAAMoyp+7T3bhxY3344Yf6559/dMMNN6hq1aqSpE6dOikqKoo93QAAAAAAyMnQLUnVqlVTtWrVlJGRoWPHjqlatWqKjo6Wh4fTt/4GAAAAAKBUcTp079y5U7Nnz9b+/ftlMpkUGxurb7/9VsHBwXr44YddWSMAAAAAAG7Jqd3SO3bs0Ntvvy0fHx899NBDslgskqTatWtr+fLlWrZsmUuLBAAAAADAHTkVur/++mvdcsstevPNN9WpUyfr8G7duqlLly5avXq1ywoEAAAAAMBdORW6Dx48qPbt20uSTCaTzbgmTZooMTGx6JUBAAAAAODmnArdfn5+SklJsTvuzJkz8vPzK1JRAAAAAACUBk6F7ltuuUVz587V/v37rcNMJpOSkpK0ePFiNWvWzGUFAgAAAADgrpy6enm/fv20b98+vfrqqwoMDJQkffTRR0pKSlKVKlXUr18/V9YIAAAAAIBbcip0V6hQQbGxsVq3bp127NihtLQ0+fn5KTo6Wu3atZOvr6+r6wQAAAAAwO04fZ9uT09P1atXT3fffbckKSUlRfv375enp6fLigMAAAAAwJ05dU53UlKS/vOf/2jcuHHWYYcOHdL777+v119/XefPn3dZgQAAAAAAuCunQvfMmTNlsVg0dOhQ67CmTZvq/fffV2ZmpubMmeOq+gAAAAAAcFtOhe4dO3aoX79+qlevns3wmjVrqk+fPtqyZYtLigMAAAAAwJ05FbrNZrM8POw/1dvbW5mZmUUqCgAAAACA0sCp0B0eHq7vvvtOZrPZZrjZbNby5ct1ww03uKQ4AAAAAADcmVNXL+/bt69ee+01Pffcc2ratKkqVaqk8+fPa+vWrUpNTdWbb77p4jIBAAAAAHA/ToXuunXrKjY2VgsXLtSWLVuUmpoqf39/RURE6IEHHlDt2rVdXCYAAAAAAO7H6ft016pVSy+++KIrawEAAAAAoFRxOnTn5ORo7dq12rlzp9LT01WxYkVFRkbqjjvukI+PjytrBAAAAADALTkVutPT0/XWW2/p0KFDqlKligIDA3X8+HH98ssv+uGHHzRq1Cj5+fm5ulYAAAAAANyKU6F7zpw5SkpK0ltvvaWIiAjr8D179ujDDz/U3Llz9fjjj7usSAAAAAAA3JFTtwz77bff1LdvX5vALUkRERHq3bu3Nm/e7JLiAAAAAABwZ06F7gsXLui6666zO+66665TampqkYoCAAAAAKA0cCp0X3/99fr999/tjvvtt98UEhJSpKIAAAAAACgNnDqn+/7779dHH30ks9msNm3aKDAwUGfPntXPP/+s1atX68knn3R1nQAAAAAAuB2nQvdtt92mEydOaNGiRVq9evX/zczLSw888IDuvvtulxUIAAAAlGXemelSZroh8zaZTDqflSn5ljdk/gCcDN1Hjx5Vz549FR0drX379iktLU0VKlRQ/fr1VaFCBVfXCAAAAJRdmem6MGyAYbP3/PALQjdgIKdC95gxY9S3b1/dcccdatq0qYtLAgAAAACgdHDqQmp5eXkKCAhwdS0AAAAAAJQqTu3p7tOnjz7//HP16NFDYWFhCgwMLDBNlSpVilobAAAAAABuzanQPX36dOXl5Wnq1KkOp5k3b57TRQEAAAAAUBo4FboHDhzo6joAAAAAACh1nArdd955p4vLAAAAAACg9Lmq0H348GGtWLFCiYmJCgkJ0T333KPQ0FCjagMAAAAAwK0VOnT//fffGjVqlHJzc1WxYkX99ddfWrlypZ5//nndeuutRtYIAAAAAIBbKnTojouL0/XXX6+XXnpJVatWVWpqqsaPH69Zs2YRugEAAAAAsKPQofuff/7RoEGDVLVqVUlSxYoVFRMTo1deeUUpKSkKCgpyqoC0tDTNmTNHW7ZsUWZmpmrWrKmHHnpIERERkqSDBw9qxowZOnDggCpUqKCOHTuqS5cu1ufn5eUpLi5Oq1evVnp6uiIiIjRgwACFhIQ4VQ8AAAAAAK7iUdgJMzMzC9yPu3r16pKk1NRUpwsYP3689u3bp6FDh2rs2LGqU6eO3n77bR07dkypqakaPXq0qlevrrFjx6p3796aN2+efvzxR+vzFy5cqJUrV2rgwIF6++23ZTKZFBsbK7PZ7HRNAAAAAAC4QqH3dFssFnl42GZ0Hx8fSXI64J48eVLbtm3T6NGj1aBBA0nSY489pq1bt+rnn3+Wj4+PvL299eSTT8rT01OhoaE6ceKElixZonbt2slsNmvZsmV66KGH1KxZM0nS0KFDNXDgQG3atEmtW7d2qi4AAAAASPatpLTUHEkWw5bh5+0hf0/j5o+S59Qtw1ylYsWKeuWVV1S3bl3rMJPJJIvForS0NJ0+fVqRkZHy9PS0jo+KitI333yjc+fOKTExUZmZmYqKirKO9/f3V506dbR7925CNwAAAACnpedKAxbvMXQZn/ZsIH9Pk6HLQMm6qtB99uxZnTlzxvo4Ly/P7nBJqlKlyhXn5+/vb91DnW/jxo06deqUmjRporlz5yosLMxmfHBwsCTpzJkzSkpKsrusoKCgAvVcLS+vEv09osTlr39Z74M99MYxeuMYvbGPvjhGbxxz596YTKXli7VJ3t7erp1jMfWG7cY++lKSXP9+Mpo7fw67UmHX/6q69P7779sd/u677xYYNm/evKuZtSRpz549mjJlipo3b67mzZvryy+/LLAB5j/OyclRVlaWpIIr6+Pjo/T09Kte/qWcvTBcaUMfHKM3jtEbx+iNffTFMXrjmDv2JiXpVEmX4BJeXp7Wi+u6SnH1hu3GPvpScox4PxUXd9xuSkKhQ/egQYOMrEO//fabJkyYoBtuuEFDhw6VdDE85+Tk2EyX/9jX19fmnPL8/0tSdna2fH19i1RPSkpKmb4Ym5eXl4KCgsp8H+yhN47RG8fojX30xTF645g798aUm1vSJbiE2ZyrxMREl86zuHrDdmMffSk5RryfjObOn8OulN+HK05X2BneeeedRannsuLj4zVjxgy1bNlSgwcPtu7NrlKlilJSUmymTU5OlnTxMPPc//9GS05OtrlFWEpKimrVqlWkmsxmc4HAXxbRB8fojWP0xjF6Yx99cYzeOOaOvfG2lJaLJVlc3vvi6g3bjX30pSS5/v1UXNxxuykJhb5lmFFWrFihzz//XNHR0Ro6dKjN4eSRkZHas2eP9dxxSdqxY4dq1KihSpUqqVatWipfvrx27dplHZ+enq6EhARFRkYW63oAAAAAAPBvJRq6jx8/rhkzZqhFixbq3r27zp8/r7Nnz+rs2bPKyMhQu3btlJGRoSlTpujo0aNau3atvvvuO3Xr1k3SxfO7o6OjNXv2bP3+++86dOiQxo8fr8qVK6tly5YluWoAAAAAAJTsLcN+/fVX5ebmavPmzdq8ebPNuDvuuEPPPvusRowYoRkzZmjYsGEKDAxU//79bQ5179Onj3JzczV16lRlZ2crMjJSI0aMKPNX0gMAAAAAlLwSTaY9evRQjx49LjtN/fr1NWbMGIfjPTw8FBMTo5iYGFeXBwAAAABAkbjk8PLs7GxZSs2FDAAAAAAAcA2n93QfP35c8+bN07Zt25SZmanY2FitWbNG119/vTp27OjKGgEAAAAAcEtO7ek+ePCghg8frgMHDuj222+37uX28vLSF198obVr17qyRgAAAAAA3JJTe7pnzpypunXrauTIkZKkH374QZL06KOPKisrS99//72h9/UGAAAAAMAdOLWne+/everUqZM8PT1lMplsxrVu3VrHjx93SXEAAAAAALgzp0K3t7e3srOz7Y5LTU2Vj49PkYoCAAAAAKA0cCp0N27cWPPnz1dSUpJ1mMlk0oULF7R06VI1atTIZQUCAAAAAOCunDqnOyYmRiNHjtTQoUNVu3ZtSdJXX32l48ePy2KxaOjQoS4sEQAAAAAA9+RU6K5SpYref/99LVu2TDt27FBISIguXLigNm3aqHPnzgoKCnJ1nQAAAAAAuB2n79NdsWJFPfjgg66sBQAAAACAUqXQoXvXrl1XNeOGDRtedTEAAAAAAJQmhQ7db7311lXNeN68eVddDAAAAAAApUmhQ/cbb7xh/X9iYqKmTZumdu3aqVWrVgoKClJqaqp+//13rVy5Uk899ZQhxQIAAAAA4E4KHbovPVz8rbfeUqdOndSvXz+baRo0aCBfX18tW7ZMt912m+uqBAAAAADADTl1n+59+/YpKirK7rjw8HAdPny4SEUBAAAAAFAaOBW6K1eurC1bttgdt3HjRoWEhBSpKAAAAAAASgOnbhnWuXNnffrppzp79qyaN2+ugIAAnT17Vr/++qv++OMPDR061MVlAgAAAADgfpwK3ffcc49yc3O1cOFCbdy40Tq8cuXKev7559WqVSuXFQgAAAAAgLtyKnRLUnR0tKKjo3X8+HGlpaWpYsWKql69uitrAwAAAADArTkduvPVqFHDFXUAAAAAAFDqOHUhNQAAAAAAcGWEbgAAAAAADELoBgAAAADAIIRuAAAAAAAM4vSF1HJycvTjjz9q27ZtSklJ0TPPPKOdO3eqbt26ql+/vitrBAAAAADALTm1p/v8+fMaPny4ZsyYoZMnT+qff/5RVlaWtmzZojfffFN79+51dZ0AAAAAALgdp0L3zJkzlZmZqf/973969913rcNffPFF1atXT/PmzXNZgQAAAAAAuCunQvcff/yhPn36KCQkRCaTyTrcx8dH999/vw4cOOCyAgEAAAAAcFdOhe6cnBxVqFDB7jhPT0+ZzeYiFQUAAAAAQGngVOiuV6+eVqxYYXfc+vXrVa9evSIVBQAAAABAaeBU6O7Tp4+2bduml156SXPnzpUk/fLLL3rnnXe0ceNGPfDAAy4tEgAAAAAAd+RU6I6MjNTIkSNVrlw5ffvtt5KkZcuW6dy5cxo+fLiioqJcWiQAAAAAAO7I6ft0N2zYUKNHj1Z2drbS0tLk5+encuXKubI2AAAAAADcmtOhO5+Pj4+Cg4NdUQsAAAAAAKVKoUN3nz59rmrG3KsbAAAAAFDWFTp09+zZ03pP7pycHC1btkzVq1dXy5YtFRQUpNTUVP3xxx86fPiwevToYVjBAAAAAAC4i0KH7t69e1v/P2XKFDVr1kz/+c9/rEFcknr06KGJEyfqwIEDrq0SAAAAAAA35NTVyzdu3Ki7777bJnDna9u2rbZu3VrUugAAAAAAcHtOhe5y5crpxIkTdsclJCSoQoUKRSoKAAAAAIDSwKmrl7du3Vpff/21PD091bx5cwUEBOjcuXPauHGj4uLi1LVrV1fXCQAAAACA23EqdPfr109nzpzRZ599ps8++8xm3F133aUHHnjAJcUBAAAAAODOnArd3t7e+s9//qMjR45o9+7dSk9PV8WKFRUVFaWQkBBX1wgAAAAAgFtyKnTnCwsLU1hYWIHhGRkZ8vPzK8qsAQAAAABwe06F7pycHH333XfatWuXzGazLBaLJMlisSgrK0tHjhzRrFmzXFooAAAAAADuxqnQPWvWLMXHx6tmzZo6d+6cfHx8FBAQoMOHD8tsNqtXr16urhMAAAAAALfjVOjetGmTOnXqpIcffliLFy9WQkKCXnzxRSUnJ+uNN96w7vkGAAAAAKAsc+o+3efOnVOzZs0kSbVq1dL+/fslScHBwerevbt++eUX11UIAAAAAICbcip0+/v7KycnR5JUvXp1nTlzRpmZmZKkkJAQnTlzxnUVAgAAAADgppwK3REREfr+++914cIFVatWTeXKldOmTZskSXv37uXK5QAAAAAAyMnQ3bt3b+3du1fvvvuuPD09de+992r69OkaNmyY5s2bp5YtW7q6TgAAAAAA3I5TF1KrWbOmxo8fr8OHD0uS+vXrp/Lly+vvv/9W8+bN1b17d5cWCQAAAACAO3IqdEtSYGCgAgMDJUkmk0k9evRwVU0AAAAAAJQKhQ7d69atu6oZ33HHHVddDAAAAGCUZN9KSkvNkWTM7W39vD3k78mtcwHYKnTonjx58lXNmNANAACAa0l6rjRg8R7D5v9pzwby9zQZNn8A7qnQoXvSpEnW/x88eFCTJk1Sjx491KpVKwUFBSk1NVW///67FixYoEGDBhlSLAAAAAAA7qTQobtq1arW/3/44Yfq0aOHunbtah0WHByse++9V2azWbNnz1azZs2uupiFCxdq+/btevPNN63DJk+erLVr19pMFxwcrKlTp0qS8vLyFBcXp9WrVys9PV0REREaMGCAQkJCrnr5AAAAAAC4klMXUjt69Khq165td1yNGjV0+vTpq57nd999p/nz5ysyMtJm+KFDh9S9e3d17NjROszD4//udLZw4UKtXLlSgwYNUnBwsGbPnq3Y2FiNGzdOXl5OXycOAAAAAIAic+o+3dWrV9dPP/1kd9yqVatUs2bNQs8rOTlZsbGxmjt3rmrUqGEzLi8vT0ePHlW9evWsV0sPDAxUQECAJMlsNmvZsmXq1auXmjVrptq1a2vo0KFKTk7Wpk2bnFk1AAAAAABcxqldwQ888IDGjRunEydOqHnz5goICNC5c+e0adMmHT16VK+++mqh53XgwAH5+/vrgw8+UFxcnBITE63jTpw4oZycHIWGhtp97sGDB5WZmamoqCjrMH9/f9WpU0e7d+9W69atnVk9AAAAAABcwqnQ3bJlS7300ktauHCh5s2bJ+nivbobNGig119/XREREYWeV/PmzdW8eXO74w4fPiyTyaTly5frzz//lIeHh2666Sb17dtXfn5+SkpKkiRVqVLF5nlBQUE6c+aMM6tmVdYPTc9f/7LeB3vojWP0xjF6Yx99cYzeOObOvTGZSsuVrU3y9vZ27RxLRW9c3xepeHrD+6kkGbPdGMmdP4ddqbDr73SX8sNydna20tPTVaFCBZdvLEeOHJHJZFLVqlU1bNgwnTx5UjNnztThw4f1+uuvKysrS1LBlfXx8VF6enqRlh0UFFSk55cW9MExeuMYvXGM3thHXxyjN465Y29Skk6VdAku4eXlaXORXVcoDb0xoi9S8fSG91PJMWq7KQ7uuN2UhEKH7jNnzigwMFBeXl529yKfO3fO5vG/9z47o1evXurUqZP8/f0lSTVr1lRgYKBGjhyp/fv3y8fHR9LFc7vz/y9J2dnZ8vX1LdKyU1JSZDabizQPd+bl5aWgoKAy3wd76I1j9MYxemMffXGM3jjmzr0x5eaWdAkuYTbn2pwS6AqloTdG9EUqnt7wfio5Rm03RnLnz2FXyu/DFacr7AyfffZZjRkzRvXr19ezzz57xenzDzsvCpPJZA3c+fIv0paUlGQN9snJyTa3CEtJSVGtWrWKtGyz2aycnJwizaM0oA+O0RvH6I1j9MY++uIYvXHMHXvjbbGUdAkuYnF570tHb1zfF8n43iT7VlJaSqYk45bj5+0hf0/Xzr90bDOSUdtNcXDHz+GSUOjQPWjQIF133XXW/xeHjz76SGlpaRoxYoR12P79+yVJoaGhuu6661S+fHnt2rXLGrrT09OVkJCg6OjoYqkRAAAAcGfpudKAxXsMXcanPRvI37O0nIMNXJ1Ch+4777zT+v+oqCjroeb/lp2drYSEBJcU16ZNG7333ntatGiRbrvtNp04cUKfffaZ2rRpY72ieXR0tGbPnq2AgABVrVpVs2bNUuXKldWyZUuX1AAAAAAAgLOcupDapYea/9s///yj2NhYzZo1q8jF3XzzzXrhhRe0ePFiLVq0SP7+/mrdurX69u1rnaZPnz7Kzc3V1KlTlZ2drcjISI0YMaLMX0kPAAAAAFDyCp1Mv/rqK6WlpVkfx8XFKSAgoMB0Bw8elJ+fn1PF2DtX/NZbb9Wtt97q8DkeHh6KiYlRTEyMU8sEAAAAAMAohQ7doaGhWrhwofVxQkJCgb3JHh4e8vf31yOPPOK6CgEAAAAAcFOFDt3t27dX+/btJV3cI/3SSy+pdu3aRtUFAAAAAIDbc+rE548//tjVdQAAAAAAUOo4Fbrz8vK0Zs0abdmyRVlZWcrLy7MZbzKZ9Prrr7ukQAAAAAAA3JVToXvOnDlaunSpqlWrpuDgYHl4eNiMt5SaG9UDAAAAAOA8p0L3unXr1KlTJz388MOurgcAAAAAgFLD48qTFHThwgXdfPPNrq4FAAAAAIBSxanQHRERob///tvVtQAAAAAAUKo4dXh5165dNXHiRJnNZoWHh8vHx6fANA0bNixycQAAAAAAuDOnQvfo0aMlSQsXLnQ4zbx585yrCAAAAACAUsKp0P3GG2+4ug4AAAAAAEodp0I3h44DAAAAAHBlToVuSdq7d6927dols9lsHZaXl6esrCzt2bNHY8aMcUmBAAAAAAC4K6dCd3x8vGbMmGF3nMlkUpMmTYpUFAAAAAAApYFTofuHH35Q06ZNNXjwYH3zzTfKyMjQo48+qi1btmjy5Mm6/fbbXV0nAAAAAABux6n7dJ8+fVodOnRQhQoVVL9+fe3Zs0c+Pj669dZb1a1bN33//feurhMAAAAAALfjVOj28vKSr6+vJKl69eo6ceKE9dzuiIgIHT9+3HUVAgAAAADgppwK3bVr19Yff/whSQoJCZHFYtHevXslSUlJSa6rDgAAAAAAN+bUOd2dOnXShx9+qLS0ND3zzDNq3ry5Jk2apFtvvVXr169XZGSkq+sEAAAAAMDtOLWnu0WLFho2bJhCQ0MlSQMHDlSNGjW0cuVKhYaG6vHHH3dpkQAAAAAAuCOn79PdrFkzNWvWTJJUsWJFjRw50mVFAQAAAABQGjgVus+cOXPFaapUqeLMrAEAAAAAKDWcCt3PPvvsFaeZN2+eM7MGAAAAAKDUcCp0Dxo0qMCwCxcuaM+ePdq5c6fd8QAAAAAAlDVOhe4777zT7vDo6Gh99dVXWr9+vfV8bwAAAAAAyiqnrl5+OTfffLO2bNni6tkCAAAAAOB2XB669+7dKy8vpy+KDgAAAABAqeFUOp48eXKBYXl5eUpKStLu3bvVvn37IhcGAAAAAIC7cyp079y5s8Awk8mk8uXLq1u3burevXuRCwMAAAAAwN05Fbo//vhjV9cBAAAAAECpU6STr9PT02WxWFShQgWb4WfOnFHFihXl6+tbpOIAAAAAAFfHOzNdykw3bP4mk0nnszIl3/KGLaM0uerQffToUS1ZskS///67MjIyJEnlypVTkyZN1KNHD9WuXVtTpkxRnTp1FBMT4/KCAQAAAACXkZmuC8MGGLoIzw+/IHQX0lWF7g0bNmjy5MkymUxq3LixQkJCZDKZdPr0aW3fvl2///672rZtq3379umZZ54xqmYAAAAAANxCoUP3sWPHNHnyZDVr1kxPPfVUgUPKMzIyNG3aNP3444/q1auXKleu7PJiAQAAAABwJ4UO3cuWLVNYWJiGDh0qD4+Ct/f28/OTj4+PJOn06dOuqxAAAAAAADdVMD07sGPHDt177712A7d0MWj/9NNP6tSpk91bigEAAAAAUNYUOnSnpKQoJCTE4Xh/f389//zzatGihc6dO+eS4gAAAAAAcGeFDt0BAQFKSUlxON7f31+33XabkpOTVbFiRZcUBwAAAACAOyt06G7QoIHWrVt3xenWrVunBg0aFKkoAAAAAABKg0KH7o4dO+qvv/7SggULHE4zd+5cbdu2TZ06dXJJcQAAAAAAuLNCX708PDxc/fr10+zZs7Vx40Y1b95c1apVk3TxImqbN2/WyZMnFRMToxtuuMGwggEAAAAAcBeFDt2S1KVLF9WqVUtxcXFasmSJzbjw8HA9/vjjaty4sUsLBAAAAADAXV1V6JakJk2aqEmTJkpLS1NiYqIsFouqVq3KxdMAAAAAAPiXqw7d+SpUqKAKFSq4shYAAAAAAEqVQl9IDQAAAAAAXB1CNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQQjcAAAAAAAYhdAMAAAAAYBBCNwAAAAAABiF0AwAAAABgEEI3AAAAAAAGIXQDAAAAAGAQr5Iu4FILFy7U9u3b9eabb1qHHTx4UDNmzNCBAwdUoUIFdezYUV26dLGOz8vLU1xcnFavXq309HRFRERowIABCgkJKYE1AAAAAADg/1wze7q/++47zZ8/32ZYamqqRo8ererVq2vs2LHq3bu35s2bpx9//NE6zcKFC7Vy5UoNHDhQb7/9tkwmk2JjY2U2m4t7FQAAAAAAsFHioTs5OVmxsbGaO3euatSoYTNu1apV8vb21pNPPqnQ0FC1a9dOnTp10pIlSyRJZrNZy5YtU69evdSsWTPVrl1bQ4cOVXJysjZt2lQSqwMAAAAAgFWJh+4DBw7I399fH3zwgerXr28zbs+ePYqMjJSnp6d1WFRUlI4fP65z587p4MGDyszMVFRUlHW8v7+/6tSpo927dxfbOgAAAAAAYE+Jn9PdvHlzNW/e3O64pKQkhYWF2QwLDg6WJJ05c0ZJSUmSpCpVqthMExQUpDNnzhhQLQAAAAAAhVfioftysrKy5O3tbTMs/3FOTo6ysrIkSV5etqvh4+Oj9PT0Ii373/Msa/LXv6z3wR564xi9cYze2EdfHKM3jrlzb0wmU0mX4CKmAt/RijzHUtEb1/dFojcO51gq+iK5c2/c8XPYlQq7/td0l3x8fJSTk2MzLP+xr6+vfHx8JF08tzv//5KUnZ0tX1/fIi07KCioSM8vLeiDY/TGMXrjGL2xj744Rm8cc8fepCSdKukSXMLLy1NVq1Z16TxLQ2+M6ItEbxwpDX2R3Ls37vg5XBKu6dBdpUoVpaSk2AxLTk6WdPEw89zcXOuwS28RlpKSolq1ahVp2SkpKWX6CuheXl4KCgoq832wh944Rm8cozf20RfH3Lk3ptRzUmbRjji7whLkUylQuf4V3a83//+7i7szm3OVmJjo0nmWht4Y0ReJ3jhSGvoiuXdv3PFvlCvl/62+4nTFUIvTIiMjtXLlSuXl5cnD4+I133bs2KEaNWqoUqVK8vPzU/ny5bVr1y5r6E5PT1dCQoKio6OLtGyz2VxgL3tZRB8cozeO0RvH6I199MUxd+yNd0aaLgwbYOgyPD/8Qmbf8u7XG4ulpEtwEYvLe186euP6vkj0xpHS0RfJnXvjjn+jSkKJX738ctq1a6eMjAxNmTJFR48e1dq1a/Xdd9+pW7duki6e3x0dHa3Zs2fr999/16FDhzR+/HhVrlxZLVu2LNniAQAAAABl3jW9p7tSpUoaMWKEZsyYoWHDhikwMFD9+/fXnXfeaZ2mT58+ys3N1dSpU5Wdna3IyEiNGDGizJ/UDwAAAAAoeddUMn322WcLDKtfv77GjBnj8DkeHh6KiYlRTEyMkaUBAAAAAHDVrunDywEAAAAAcGeEbgAAAAAADELoBgAAAADAIIRuAAAAAAAMQugGAAAAAMAghG4AAAAAAAxC6AYAAAAAwCCEbgAAAAAADELoBgAAAADAIIRuAAAAAAAMQugGAAAAAMAghG4AAAAAAAxC6AYAAAAAwCCEbgAAAAAADOJV0gUAAABcrWTfSkpLzZFkMWwZft4e8vc0bv4AgLKB0A0AANxOeq40YPEeQ5fxac8G8vc0GboMAEDpx+HlAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABjEq6QLKIzExEQ9++yzBYYPHDhQd911lw4ePKgZM2bowIEDqlChgjp27KguXbqUQKUAAAAAAPwftwjdhw4dkre3tyZNmiSTyWQd7ufnp9TUVI0ePVq33HKLnnzySe3bt0+ffvqpKlasqHbt2pVg1QAAAACAss4tQvfhw4dVo0YNBQUFFRj33XffydvbW08++aQ8PT0VGhqqEydOaMmSJYRuAAAAAECJcotzug8fPqzQ0FC74/bs2aPIyEh5enpah0VFRen48eM6d+5ccZUIAAAAAEABbrOnOygoSK+//rpOnDihkJAQ9ezZU02bNlVSUpLCwsJspg8ODpYknTlzRpUqVSqJkgEAAAAAuPZDt9ls1okTJ+Tr66v+/furXLly+umnnzR27FiNHDlSWVlZ8vb2tnlO/uOcnBynl+vldc23xlD561/W+2APvXGM3jhGb+yjL465c28uvf6KezMV+I5R5DnSG8dzLBW9cX1fJHrjcI6loi+SO/fGHf9GuVJh1/+a75KXl5dmzJghT09P68ZYt25dHTt2TEuXLpWPj0+BcJ3/2NfX1+nl2jt/vCyiD47RG8fojWP0xj764pg79iYl6VRJl+ASXl6eqlq1qkvnSW8cKw29MaIvEr1xpDT0RXLv3rjj36iScM2HbkkqV65cgWE1a9bU1q1bVaVKFaWkpNiMS05OlvR/h5k7IyUlRWaz2ennuzsvLy8FBQWV+T7YQ28cozeO0Rv76Itj7twbU25uSZfgEmZzrhITE106T3rjWGnojRF9keiNI6WhL5J798Yd/0a5Uv7f6itOVwy1FMmhQ4c0cuRIjRgxQhEREdbhBw4cUFhYmGrXrq2VK1cqLy9PHh4Xrwu3Y8cO1ahRo0jnc5vN5iIdnl5a0AfH6I1j9MYxemMffXHMHXvjbbGUdAkuYnF57+mNY6WjN67vi0RvHCkdfZHcuTfu+DeqJFzzoTssLEw1a9bU9OnT9eSTT6pixYpatWqV9u7dq7Fjx6pSpUpasmSJpkyZoq5du+qff/7Rd999pyeffLKkSwcAAACAUinZt5LSUnMkGRfw/bw95O/p/j+uXPOh28PDQ8OGDdPs2bM1btw4paenq27duho5cqRq1qwpSRoxYoRmzJihYcOGKTAwUP3799edd95ZsoUDAAAAQCmVnisNWLzH0GV82rOB/D3d/4J513zolqSAgAANGjTI4fj69etrzJgxxVgRAAAAAABX5lHSBQAAAAAAUFoRugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIN4lXQBAAC4I+/MdCkz3bD5m0wmnc/KlHzLG7YMAABgPEI3AADOyEzXhWEDDF2E54dfELoBAHBzHF4OAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQbh6OQDgsoy8NRa3xQIAAKUdoRsAcHkG3xqL22IBAIDSjNANAMA1Ktm3ktJScyRZDFuGn7eH/D2Nmz8AAGUdoRsAgGtUeq40YPEeQ5fxac8G8vc0GboMAADKMi6kBgAAAACAQQjdAAAAAAAYhNANAAAAAIBBCN0AAAAAABiE0A0AAAAAgEEI3QAAAAAAGITQDQAAAACAQQjdAAAAAAAYxKukC3CFvLw8xcXFafXq1UpPT1dERIQGDBigkJCQki4NgJvwzkyXMtMNm7/JZNL5rEzJt7xhywAAAMC1p1SE7oULF2rlypUaNGiQgoODNXv2bMXGxmrcuHHy8ioVqwjAaJnpujBsgKGL8PzwC0I3AABAGeP2h5ebzWYtW7ZMvXr1UrNmzVS7dm0NHTpUycnJ2rRpU0mXBwAAAAAow9x+N/DBgweVmZmpqKgo6zB/f3/VqVNHu3fvVuvWrUuwOuDawiHUuBYl+1ZSWmqOJIthy/Dz9pC/p3HzBwAAcMTtQ3dSUpIkqUqVKjbDg4KCdObMGafn6+vre+0fmp6eJmVlGjPvTJPS8szyLe9/7ffh34zsi+TevclMU9a09w1dhM8Lb8k3IND9elPeT971Ghi6CE/fcvJ0h8+WfzO4Nxe8vPX+msOGzV+SXr+rjsqXd3Hfi2GbKe/rrQbVKhi7DB8feuNoGfTG8TLojf35G9EXyfDesM1cZhH0xvEi3LU3LuTp6Vmo6UwWi8Wtf/r/6aefNGnSJM2dO1ceHv93tPykSZOUkpKi1157rQSrAwAAAACUZW5/TrePj4+ki+d2Xyo7O1u+vr4lURIAAAAAAJJKQejOP6w8OTnZZnhKSoqCg4NLoiQAAAAAACSVgtBdq1YtlS9fXrt27bIOS09PV0JCgiIjI0uwMgAAAABAWXftnpVeSN7e3oqOjtbs2bMVEBCgqlWratasWapcubJatmxZ0uUBAAAAAMowt7+QmiTl5eVpzpw5Wrt2rbKzsxUZGaknnnhC1apVK+nSAAAAAABlWKkI3QAAAAAAXIvc/pxuAAAAAACuVYRuAAAAAAAMQugGAAAAAMAghG4AAAAAAAxC6AYAAAAAwCCEbgAAAAAADOJV0gXAWGlpaZozZ462bNmizMxM1axZUw899JAiIiIkSQcPHtSMGTN04MABVahQQR07dlSXLl2sz8/Ly1NcXJxWr16t9PR0RUREaMCAAQoJCbFOs3//fn311VdKSEiQv7+/WrdurT59+sjb27vY1/dqFLU3l1q4cKG2b9+uN99802b477//roULF+ro0aMKCAjQrbfeqj59+sjHx8fo1XNacfTll19+0eLFi3XixAkFBwfrrrvuUteuXWUymYxevSIpjt6kpKToyy+/1NatW+Xh4aGmTZvq0UcfVUBAgNGrVyRG9+bNN9/Url277E7/7LPP6o477nD5OrlKcWw37vg5XBx92b59u77++msdOXJEwcHB6tixo6Kjo41etSIram+u9PzCzONaVRy9yXf+/Hn997//1ZAhQ3TjjTcW2zo6qzh6Uxa/1xSmL2X1e83VvJ8kaerUqdq+fbs+/vjjYlm/a4oFpdro0aMt//3vfy27d++2HDt2zPLZZ59ZHnroIcvRo0ct58+ftzz++OOWKVOmWI4cOWJZs2aNpV+/fpY1a9ZYnz9//nzLgAEDLH/88YclISHB8vbbb1sGDx5sycnJsVgsFsu5c+csjz/+uOWTTz6xnDhxwvLnn39annjiCcuXX35ZUqtcaEXtTb5ly5ZZevfubXnjjTdshu/atcvSp08fy+LFi629efrppy0ff/xxMa2hc4zuy5YtWyx9+/a1xMfHW06dOmX59ddfLf3797csXbq0mNbQeUb3Jjs72/Liiy9ahg8fbvnnn38sf//9t2Xo0KGW2NjYYlpD5xndm9TUVEtKSorNv7Fjx1qGDh1qycjIKKa1dI7RvXHXz2Gj+/L3339bevfubZk2bZrlyJEjlt9++83y5JNPWhYuXFhMa+i8ovbmcs+3WCxX1d9rjdG9yZeYmGj573//a+nVq5dlx44dxb2aTjG6N2X1e82V+lKWv9cU9v1ksVgsmzZtsvTq1cvyzDPPFOcqXjPY012KnTx5Utu2bdPo0aPVoEEDSdJjjz2mrVu36ueff5aPj4+8vb315JNPytPTU6GhoTpx4oSWLFmidu3ayWw2a9myZXrooYfUrFkzSdLQoUM1cOBAbdq0Sa1bt9aePXuUmpqq/v37q3z58goJCdHtt9+uv/76qyRX/YqK2htJSk5O1tSpU7V7927VqFGjwDJWrlypqKgodevWTZIUEhKiBx98UFOmTNGTTz55Te6BKo6+pKSkqGvXrurQoYMkqVq1avrpp5+0fft2de7cufhW9ioVR29++eUXnT59WhMnTlRgYKAk6ZFHHtFnn32mjIwM+fn5Fdv6Xo3i6E2FChVsHv/888/666+/9O6776p8+fLGr6STiqM37vg5XBx9+fbbb1WvXj09+eSTkqTQ0FBlZmZq2rRpuv/++6/Jz2Cp6L250vP79OmjVatWXbG/16Li6I0krVmzRjNnztR1111XYut6tYqjN2Xxe01h+lJWv9cU9v0kXfzuN23aNDVs2FCJiYklsr4ljXO6S7GKFSvqlVdeUd26da3DTCaTLBaL0tLStGfPHkVGRsrT09M6PioqSsePH9e5c+d08OBBZWZmKioqyjre399fderU0e7du63LkKQVK1YoLy9Pp0+f1p9//qkbbrihmNbSOUXtjSQdOHBA/v7++uCDD1S/fv0Cy7j//vsVExNTYHhubq4yMzMNWKuiK46+tG/fXn379pV08fSFrVu3ateuXWrSpInBa1c0xdGbrVu3qlGjRtbALUlNmzbVxIkTr9nALRVPby514cIFzZo1S506dVLNmjWNWSkXKY7euOPncHH05fjx4wUOcaxTp46ysrK0f/9+g9as6Iramys9X1Kh+nstKo7eSBcPoY6JidGLL75YPCvmAsXRm7L4vaYwfSmr32sK+36yWCz6+OOP1bZtWzVs2LB4Vu4aROguxfz9/dWsWTObXx43btyoU6dOqUmTJkpKSlLlypVtnhMcHCxJOnPmjJKSkiRJVapUsZkmKChIZ86ckSRFRkaqW7dumjdvnvr166fnnntOQUFBevzxx41ctSIram8kqXnz5hoyZIjDX8Lr1Kmj2rVrWx/nHzlQp06da/b83OLoS74zZ86oX79+io2NVf369XXvvfe6eG1cqzh6c+LECVWrVk1xcXEaPHiwnnnmGX3yySdKT083aK1cozi3G+niUSSZmZnq0aOHC9fCGMXRG3f8HC6OvgQFBVn/juU7ffq0JOns2bOuWhWXK2pvrvR8SYXq77WoOHojSS+//LLuuusug9fGtYqjN2Xxe01ht5n86cvS95rC9ua7775TSkqKHnzwQYPX6NpG6C5D9uzZoylTpqh58+Zq3ry5srKyChwKlP84JydHWVlZkiQvL9uzEHx8fJSTkyNJSk9P1/Hjx9WhQwfFxsbqxRdf1MmTJ/Xpp58Wwxq5ztX25mrl5uZq4sSJOnr0qAYMGOCSmouDkX3x8/PT2LFj9eKLL+rQoUOaOHGiy+ouDkb0JiMjQ+vWrdOhQ4c0ZMgQPfXUU9qzZ4/ee+89WSwWl6+DUYzcbvLy8vT999+rQ4cO1/Tef0eM6E1p+Bw2oi933nmnfv31V/30008ym806efKk5s2bJ5PJJLPZ7PJ1MEpRe/Pv50ty+d+4kmJEb0oLo3tTVr/XXK4vZf17jb3eHDp0SAsWLNDzzz9/TZ5+UJw4p7uM+O233zRhwgTdcMMNGjp0qCTb8Jwv/7Gvr6/1SpRms9nmqpTZ2dny9fWVJM2ePVsZGRl65JFHJEl169aVv7+/Ro8erfvuu8/mF9FrlTO9uRqZmZn63//+p507d+rFF1+8pg/5vJTRffHz81OdOnVUp04d5eXlafz48YqJiVHVqlVdUr+RjOqNl5eXypUrpyFDhlh/7KpQoYJeffVV7d+//4qHXV8LjN5udu7cqTNnzrjdXijJuN64++ewUX25/fbblZSUpOnTp2vy5MmqWLGiYmJiNHnyZLf5waaovbH3/Kudx7XKqN6UBkb3pqx+r7lSX8ry9xp7z8/OztaECRPUs2dP1apVy/B1uNYRusuA+Ph4zZgxQy1bttTgwYOtvzRVqVJFKSkpNtMmJydLunj4SG5urnXYpbcIS0lJsb559uzZo5tvvtlmHvkfvidOnLjmv+w525vCSklJUWxsrE6fPq3hw4fbnB9/LTOyL7t375aPj4/q1atnHRYWFibpYr+u9T9ORvamcuXKslgsNkeX5Pfm9OnT13zoNvr9JF38w16/fn23usCRZGxv3Plz2Ohtplu3burSpYvOnj2rwMBAHT9+XBaLxeZv2rWqqL1x9Pyrmce1ysjeuDuje1NWv9dcri9l/XuNo+f/888/OnLkiBYsWKAFCxZIurgjLy8vT/3799dTTz2l22+/vThW8ZpA6C7lVqxYoc8//1wdO3bUI488Ig+P/zujIDIyUitXrlReXp51+I4dO1SjRg1VqlRJfn5+Kl++vHbt2mX9gpKenq6EhATrfU4rV66sw4cP2ywz/3H16tWLYxWdVpTeFEZaWppGjRqljIwMjR49+pq/4FM+o/uydOlSa2/y7du3T56enmV+m4mMjNTy5cuVnZ1tPbok//10rYcEo3vz/9q7m5AotziO4z/NTLREkGR6sShsIVNggRPaQlsIBVkUVmALkZCwF9qn0bSoXWGhvazEhWJC2aYodHQkSisVAwWpBGss37BGwUnSmbmLS3Ov6E27zjPOON8PuJDzPMdz/jgP5zdnnmd+6e3tVVpamj+HbjijaxOq12Gj6/Ls2TM5HA4VFRX5Foitra1KSkqa92nnwWSptfnd+YvtI1gZXZtQZnRtwnVds1Bdwnld87vzU1JSdPv27Vl/7+nTp3rz5o2sVmvQX2v8beVcaTDH169fVVlZKYvFoqNHj2piYkJOp1NOp1Mul0v79++Xy+XS3bt3NTAwILvdridPnvi+CmL16tU6cOCAqqur1d7erk+fPqmsrEyJiYnau3evJOnQoUPq6upSbW2thoaG1N3drTt37mj37t1Bvbuy1NosRlVVlYaHh3XhwgXFx8f7+nc6nfJ4PMZNbgkCUZfDhw/r/fv3qqur09DQkF69eqXq6modPHjQ9xTmYBSI2uTk5CgyMlK3bt3S58+f1dvbq3v37slsNs96OmiwCURtpL/v53Y4HCGz0JMCU5tQvA4Hoi7Jycmy2Wyy2WwaHR1VY2Oj6uvrlZ+fb9zE/GCptVnofEl+e00GWiBqE6oCUZtwXNcspi7huq5Z6Pzo6GiZTKZZP2vXrtWqVatkMpmC+us+jRDhDaWn8+CPPHr0SLW1tfO2ZWVl6dy5c/r48aMqKyvV39+vhIQE5ebm+naxpb8XuTU1NbLb7fr586dSU1N1+vRpJSUl+Y7p7OzUw4cP5XA4tG7dOlksFp08eVIxMTGGz/H/8kdt/q2iokKjo6OyWq2S5PvozH89kKa8vHxWDYOF0XX5paurSw8ePJDD4VB8fLxycnJ05MiRoN5xCFRtBgcHVVVVpZ6eHkVFRclisaigoCCo70ENVG3Gx8dVVFSkS5cuhcxud6BqE2rX4UDVxW63q76+XmNjY9qwYYOOHTumjIwMf0/Hr5Zam8WcL+mP6hssAlWbX0ZGRnT+/HlduXJFZrPZv5PxM6NrU1xcHJbrmsX+z4TjuuZPX0+SVFdXp5aWFlVUVPhvIiGC0A0AAAAAgEGC9+0XAAAAAABCHKEbAAAAAACDELoBAAAAADAIoRsAAAAAAIMQugEAAAAAMAihGwAAAAAAgxC6AQAAAAAwCKEbAAAAAACDELoBAAhz5eXlOnHihB4/frzcQwEAYMUhdAMAEMZ+/Pih169fa8uWLbLZbPJ6vcs9JAAAVhRCNwAAYezly5fyeDwqLCzU8PCw3r17t9xDAgBgRYla7gEAAIDl09zcLLPZLLPZrI0bN6qhoUFpaWm+dqvVKpPJJJPJpOfPn2tiYkLbtm1TQUGBduzY4Tuur69PtbW16uvrk9vtVmpqqk6dOqXk5ORlmBUAAMGDnW4AAMLUwMCAPnz4oKysLElSdna2Ojo69O3bt1nHtbW16e3btyosLNTFixc1Pj6umzdvyuPxSJK6u7tVWloqj8ej4uJinTlzRmNjYyotLdWXL18CPi8AAIIJoRsAgDDV1NSkuLg4paenS5IvfNtstlnHud1ulZSUyGKxyGKxKC8vT2NjY+rv75ck1dTUyGQyqaSkROnp6crMzJTValVUVJTq6uoCOicAAIINoRsAgDDkdrv14sULpaena3p6WpOTk4qOjpbZbFZTU5NvF1uSNm/erNjYWN/viYmJkqSpqSlNTU2pr69PGRkZioz8Z1kRFxenPXv2qKenJ3CTAgAgCHFPNwAAYaijo0Pj4+Oy2+2y2+3ztv/aAV+zZs2stoiICEmS1+uVy+WS1+tVQkLCnD4SEhI0OTnp97EDABBKCN0AAISh5uZmrV+/XmfPnp3TduPGDTU0NPhC9+/ExsYqIiJCTqdzTtv3798VHx/vj+ECABCyCN0AAIQZp9Oprq4u5ebmymw2z2nPzMxUQ0ODRkZGFuwrJiZG27dvV2trq/Ly8nwfMXe5XOrs7NTOnTv9Pn4AAEIJ93QDABBmWlpa5Ha7tW/fvnnbs7Oz5fV61djYuKj+8vPzNTg4qGvXrqm9vV1tbW26evWqpqendfz4cX8OHQCAkEPoBgAgzNjtdiUnJ2vr1q3ztqekpGjTpk1qbm7WzMzMgv3t2rVLly9f1szMjMrKynT//n0lJibq+vXrfE83ACDsRXi9Xu9yDwIAAAAAgJWInW4AAAAAAAxC6AYAAAAAwCCEbgAAAAAADELoBgAAAADAIIRuAAAAAAAMQugGAAAAAMAghG4AAAAAAAxC6AYAAAAAwCCEbgAAAAAADELoBgAAAADAIIRuAAAAAAAMQugGAAAAAMAgfwE5qJuYV1xPugAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Quantidade de processos ajuizados e julgados por ano\n",
    "\n",
    "comparativo_ano_df = pd.DataFrame(comparativo_ano)\n",
    "\n",
    "# Plotar o gráfico de barras\n",
    "plt.figure(figsize=(10, 6))\n",
    "bar_width = 0.35\n",
    "index = comparativo_ano_df.index\n",
    "\n",
    "bar1 = plt.bar(index - bar_width/2, comparativo_ano_df['quantidade_ajuizados'], bar_width, label='Ajuizados')\n",
    "bar2 = plt.bar(index + bar_width/2, comparativo_ano_df['quantidade_julgados'], bar_width, label='Julgados')\n",
    "\n",
    "plt.xlabel('Ano')\n",
    "plt.ylabel('Quantidade de Processos')\n",
    "plt.title('Comparativo de Processos Ajuizados e Julgados por Ano')\n",
    "plt.xticks(index, comparativo_ano_df['ano'])\n",
    "plt.legend()\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1402,
   "id": "aedce706",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de pizza: porcentagem de processos julgados/não julgados\n",
    "\n",
    "# Contagem de processos julgados e não julgados\n",
    "contagem_julgados = df[df['julgado']]['numero_processo'].count()\n",
    "contagem_nao_julgados = df[~df['julgado']]['numero_processo'].count()\n",
    "\n",
    "# Preparar os dados para o gráfico de pizza\n",
    "labels = ['Julgados', 'Não Julgados']\n",
    "sizes = [contagem_julgados, contagem_nao_julgados]\n",
    "colors = ['#1f77b4', '#ff7f0e']\n",
    "explode = (0.1, 0)  # explode 1st slice (Julgados)\n",
    "\n",
    "# Plotar o gráfico de pizza\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n",
    "plt.title('Porcentagem de Processos Julgados e Não Julgados')\n",
    "\n",
    "plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1403,
   "id": "e805ff60",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\thiag\\AppData\\Local\\Temp\\ipykernel_5612\\3932987819.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  df_julgados['tempo_para_julgar'] = (df_julgados['ultimo_mov'] - df_julgados['data_ajuizamento']).dt.days\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Histograma: processos julgados x tempo para julgar (dias), com linha de média\n",
    "# Filtrar apenas os processos julgados\n",
    "\n",
    "df_julgados = df[df['julgado']]\n",
    "\n",
    "# Calcular tempo para julgar em dias\n",
    "df_julgados['tempo_para_julgar'] = (df_julgados['ultimo_mov'] - df_julgados['data_ajuizamento']).dt.days\n",
    "\n",
    "# Calcular média de tempo para julgar\n",
    "media_tempo_para_julgar = df_julgados['tempo_para_julgar'].mean()\n",
    "\n",
    "# Plotar o histograma\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.hist(df_julgados['tempo_para_julgar'], bins=30, edgecolor='black', alpha=0.7)\n",
    "\n",
    "# Adicionar linha de média\n",
    "plt.axvline(media_tempo_para_julgar, color='red', linestyle='dashed', linewidth=1.5, label=f'Média: {media_tempo_para_julgar:.2f} dias')\n",
    "\n",
    "plt.title('Distribuição do Tempo para Julgar Processos Julgados')\n",
    "plt.xlabel('Tempo para Julgar (dias)')\n",
    "plt.ylabel('Número de Processos')\n",
    "plt.legend()\n",
    "\n",
    "plt.grid(True)\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1404,
   "id": "99ffb56a",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "alimentos, dissolução, regulamentação de visitas    188\n",
       "alimentos                                           163\n",
       "reconhecimento / dissolução, fixação                136\n",
       "alimentos, regulamentação de visitas                117\n",
       "alimentos, dissolução                               109\n",
       "fixação, regulamentação de visitas                  100\n",
       "dissolução                                           92\n",
       "regime de bens entre os cônjuges, dissolução         88\n",
       "revisão                                              86\n",
       "regulamentação de visitas                            84\n",
       "fixação                                              78\n",
       "reconhecimento / dissolução                          76\n",
       "casamento                                            73\n",
       "exoneração                                           53\n",
       "obrigação de fazer / não fazer                       38\n",
       "Name: contagem_dias, dtype: int32"
      ]
     },
     "execution_count": 1404,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# frequência de tipo\n",
    "\n",
    "linha = df[df['numero_processo'] == numero_processo_original]\n",
    "linha_dias = linha['contagem_dias'].iloc[0]\n",
    "media_tempo_por_assunto"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1405,
   "id": "7f0e3229",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# data frame com diversas informações\n",
    "# do caso concreto e das estatísticas relacionadas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1439,
   "id": "5ae6a8f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# tempo do processo até agora x o tempo médio\n",
    "data_hoje = data_hoje.replace('-', '_')\n",
    "data_hoje = str(data_hoje)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a450cd07",
   "metadata": {},
   "source": [
    "# Salvar em Excel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1443,
   "id": "5bec782d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\thiag\\AppData\\Local\\Temp\\ipykernel_5612\\3910924962.py:30: FutureWarning: save is not part of the public API, usage can give unexpected results and will be removed in a future version\n",
      "  writer.save()\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Dados salvos em \"00009272520208172100_CENTRO JUDICIÁRIO DE SOLUÇÃO DE CONFLITOS E CIDADANIA DA COMARCA DE ABREU E LIMA_26_06_2024.xlsx\" com sucesso.\n"
     ]
    }
   ],
   "source": [
    "# Converter as datas para strings sem fuso horário\n",
    "df['data_ajuizamento'] = df['data_ajuizamento'].dt.strftime('%d-%m-%Y')  # Ajuste o formato conforme necessário\n",
    "df['ultimo_mov'] = df['ultimo_mov'].dt.strftime('%d-%m-%Y')  # Ajuste o formato conforme necessário\n",
    "df['ultima_atualizacao'] = df['ultima_atualizacao'].dt.strftime('%d-%m-%Y')  # Ajuste o formato conforme necessário\n",
    "\n",
    "\n",
    "# Remover informações de fuso horário se necessário\n",
    "#df['data_coluna'] = df['data_coluna'].dt.tz_localize(None)\n",
    "\n",
    "# Definindo o nome do arquivo de saída com a data de hoje\n",
    "data_hoje = datetime.now().strftime('%d_%m_%Y')\n",
    "nome_arquivo = f'{numero_processo_original}_{orgao_julgador_original}_{data_hoje}.xlsx'\n",
    "\n",
    "# Criando um objeto ExcelWriter\n",
    "writer = pd.ExcelWriter(nome_arquivo, engine='xlsxwriter')\n",
    "\n",
    "# Salvando o DataFrame df na primeira aba\n",
    "df.to_excel(writer, sheet_name='Dados dos Processos', index=False)\n",
    "\n",
    "# Salvando o DataFrame df_movimentos na segunda aba\n",
    "df_movimentos.to_excel(writer, sheet_name='Movimentos Processuais', index=False)\n",
    "\n",
    "# Salvando media_tempo_por_assunto em uma aba\n",
    "media_tempo_por_assunto.to_excel(writer, sheet_name='Assuntos', index=False)\n",
    "\n",
    "# Salvando media_tempo_por_classe em outra aba\n",
    "media_tempo_por_classe.to_excel(writer, sheet_name='Classes', index=False)\n",
    "\n",
    "# Fechando o ExcelWriter e salvando o arquivo\n",
    "writer.save()\n",
    "\n",
    "print(f'Dados salvos em \"{nome_arquivo}\" com sucesso.')\n"
   ]
  }
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