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‎ODS/cidades_comunidades_sustentaveis/Indicador_16.ipynb‎

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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Bibliotecas \n",
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"\n",
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"import basedosdados as bd\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"%matplotlib inline"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Downloading: 100%|██████████| 153876/153876 [00:26<00:00, 5710.56rows/s]\n"
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]
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}
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],
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"source": [
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"df_ocorrencias_full = bd.read_table(\n",
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" dataset_id='br_sp_gov_ssp',\n",
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" table_id='ocorrencias_registradas',\n",
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" billing_project_id='opendataday2024-416318'\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Tratamento do campo de municipio\n",
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"df_ocorrencias_full['id_municipio'] = pd.to_numeric(df_ocorrencias_full['id_municipio'], errors='coerce').astype('Int64')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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"# Filtro Baixda Santista\n",
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"\n",
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"# Lista dos municipios da baixada santista usada para filtro\n",
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"municipios = [3548500,3551009,3541000,3518701,3513504,3506359]\n",
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"\n",
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"\n",
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"#Filtro dataset esgotameto\n",
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"df_ocorrencias_bx = df_ocorrencias_full[df_ocorrencias_full['id_municipio'].isin(municipios)]\n",
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"\n",
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"\n",
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"# Tratamento para adicionar a descrição da cidade\n",
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"descricao_dict = {3548500: 'Santos', 3551009: 'São Vicente', 3541000: 'Praia Grande', 3518701: 'Guarujá', 3513504: 'Cubatão', 3506359: 'Bertioga'}\n",
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"df_ocorrencias_bx['Descricao_Cidade'] = df_ocorrencias_bx['id_municipio'].map(descricao_dict)\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ano Int64\n",
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"mes Int64\n",
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"id_municipio Int64\n",
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"regiao_ssp object\n",
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"homicidio_doloso Int64\n",
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"numero_de_vitimas_em_homicidio_doloso Int64\n",
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"homicidio_doloso_por_acidente_de_transito Int64\n",
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"numero_de_vitimas_em_homicidio_doloso_por_acidente_de_transito Int64\n",
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"homicidio_culposo_por_acidente_de_transito Int64\n",
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"homicidio_culposo_outros Int64\n",
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"tentativa_de_homicidio Int64\n",
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"lesao_corporal_seguida_de_morte Int64\n",
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"lesao_corporal_dolosa Int64\n",
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"lesao_corporal_culposa_por_acidente_de_transito Int64\n",
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"lesao_corporal_culposa_outras Int64\n",
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"latrocinio Int64\n",
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"numero_de_vitimas_em_latrocinio Int64\n",
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"total_de_estupro Int64\n",
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"estupro Int64\n",
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"estupro_de_vulneravel Int64\n",
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"total_de_roubo_outros Int64\n",
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"roubo_outros Int64\n",
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"roubo_de_veiculo Int64\n",
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"roubo_a_banco Int64\n",
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"roubo_de_carga Int64\n",
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"furto_outros Int64\n",
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"furto_de_veiculo Int64\n",
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"Descricao_Cidade object\n",
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"dtype: object"
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]
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},
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"execution_count": 28,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_ocorrencias_bx.dtypes"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df_ocorrencias_bx.head(10)\n",
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"\n",
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"df_ocorrencias_bx_2021 = df_ocorrencias_bx[df_ocorrencias_bx['ano'] == 2021]\n",
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"df_ocorrencias_bx_2021.head(15)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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" }\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th>lesao_corporal_seguida_de_morte</th>\n",
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" <th>tentativa_de_homicidio</th>\n",
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" <th>homicidio_culposo_outros</th>\n",
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" <th>roubo_outros</th>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>ano</th>\n",
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" <th>Descricao_Cidade</th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th rowspan=\"5\" valign=\"top\">2002</th>\n",
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" <th>Bertioga</th>\n",
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" <td>0</td>\n",
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" <td>16</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Cubatão</th>\n",
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" <td>0</td>\n",
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" <td>80</td>\n",
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" <td>1</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Guarujá</th>\n",
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" <td>0</td>\n",
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" <td>139</td>\n",
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" <td>4</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Praia Grande</th>\n",
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" <td>0</td>\n",
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" <td>112</td>\n",
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" <td>9</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Santos</th>\n",
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" <td>0</td>\n",
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" <td>89</td>\n",
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" <td>0</td>\n",
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" <td>0</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th rowspan=\"5\" valign=\"top\">2021</th>\n",
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" <th>Cubatão</th>\n",
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" <td>0</td>\n",
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" <td>10</td>\n",
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" <td>0</td>\n",
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" <td>264</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Guarujá</th>\n",
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" <td>0</td>\n",
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" <td>24</td>\n",
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" <td>0</td>\n",
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" <td>1726</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Praia Grande</th>\n",
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" <td>1</td>\n",
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" <td>22</td>\n",
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" <td>2</td>\n",
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" <td>1543</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>Santos</th>\n",
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" <td>1</td>\n",
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" <td>19</td>\n",
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" <td>0</td>\n",
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" <td>1140</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>São Vicente</th>\n",
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" <td>0</td>\n",
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" <td>6</td>\n",
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" <td>1</td>\n",
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" <td>1180</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"<p>120 rows × 4 columns</p>\n",
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"</div>"
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],
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"text/plain": [
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" lesao_corporal_seguida_de_morte \\\n",
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"ano Descricao_Cidade \n",
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"2002 Bertioga 0 \n",
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" Cubatão 0 \n",
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" Guarujá 0 \n",
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" Praia Grande 0 \n",
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" Santos 0 \n",
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"... ... \n",
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"2021 Cubatão 0 \n",
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" Guarujá 0 \n",
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" Praia Grande 1 \n",
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" Santos 1 \n",
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" São Vicente 0 \n",
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"\n",
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" tentativa_de_homicidio homicidio_culposo_outros \\\n",
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"ano Descricao_Cidade \n",
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"2002 Bertioga 16 0 \n",
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" Cubatão 80 1 \n",
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" Guarujá 139 4 \n",
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" Praia Grande 112 9 \n",
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" Santos 89 0 \n",
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"... ... ... \n",
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"2021 Cubatão 10 0 \n",
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" Guarujá 24 0 \n",
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" Praia Grande 22 2 \n",
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" Santos 19 0 \n",
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" São Vicente 6 1 \n",
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"\n",
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" roubo_outros \n",
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"ano Descricao_Cidade \n",
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"2002 Bertioga 0 \n",
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" Cubatão 0 \n",
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" Guarujá 0 \n",
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" Praia Grande 0 \n",
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" Santos 0 \n",
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"... ... \n",
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"2021 Cubatão 264 \n",
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" Guarujá 1726 \n",
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" Praia Grande 1543 \n",
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" Santos 1140 \n",
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" São Vicente 1180 \n",
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"\n",
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"[120 rows x 4 columns]"
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]
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},
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"execution_count": 10,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['lesao_corporal_seguida_de_morte','tentativa_de_homicidio','homicidio_culposo_outros','roubo_outros'].sum()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ano Descricao_Cidade\n",
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"2002 Bertioga 16\n",
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" Cubatão 80\n",
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" Guarujá 139\n",
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" Praia Grande 112\n",
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" Santos 89\n",
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" ... \n",
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"2021 Cubatão 10\n",
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" Guarujá 24\n",
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" Praia Grande 22\n",
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" Santos 19\n",
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" São Vicente 6\n",
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"Name: tentativa_de_homicidio, Length: 120, dtype: Int64"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['tentativa_de_homicidio'].sum()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"ano Descricao_Cidade\n",
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"2002 Bertioga 1\n",
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" Cubatão 5\n",
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" Guarujá 6\n",
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" Praia Grande 2\n",
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" Santos 16\n",
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" ..\n",
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"2021 Cubatão 20\n",
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" Guarujá 20\n",
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" Praia Grande 47\n",
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" Santos 10\n",
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" São Vicente 10\n",
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"Name: roubo_de_carga, Length: 120, dtype: Int64"
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]
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},
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"execution_count": 9,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['roubo_de_carga'].sum()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

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