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@JoaoCarlosSantos
JoaoCarlosSantos authored Mar 14, 2024
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397 changes: 397 additions & 0 deletions ODS/cidades_comunidades_sustentaveis/Indicador_16.ipynb
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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# Bibliotecas \n",
"\n",
"import basedosdados as bd\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Downloading: 100%|██████████| 153876/153876 [00:26<00:00, 5710.56rows/s]\n"
]
}
],
"source": [
"df_ocorrencias_full = bd.read_table(\n",
" dataset_id='br_sp_gov_ssp',\n",
" table_id='ocorrencias_registradas',\n",
" billing_project_id='opendataday2024-416318'\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
"# Tratamento do campo de municipio\n",
"df_ocorrencias_full['id_municipio'] = pd.to_numeric(df_ocorrencias_full['id_municipio'], errors='coerce').astype('Int64')"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [],
"source": [
"# Filtro Baixda Santista\n",
"\n",
"# Lista dos municipios da baixada santista usada para filtro\n",
"municipios = [3548500,3551009,3541000,3518701,3513504,3506359]\n",
"\n",
"\n",
"#Filtro dataset esgotameto\n",
"df_ocorrencias_bx = df_ocorrencias_full[df_ocorrencias_full['id_municipio'].isin(municipios)]\n",
"\n",
"\n",
"# Tratamento para adicionar a descrição da cidade\n",
"descricao_dict = {3548500: 'Santos', 3551009: 'São Vicente', 3541000: 'Praia Grande', 3518701: 'Guarujá', 3513504: 'Cubatão', 3506359: 'Bertioga'}\n",
"df_ocorrencias_bx['Descricao_Cidade'] = df_ocorrencias_bx['id_municipio'].map(descricao_dict)\n"
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"ano Int64\n",
"mes Int64\n",
"id_municipio Int64\n",
"regiao_ssp object\n",
"homicidio_doloso Int64\n",
"numero_de_vitimas_em_homicidio_doloso Int64\n",
"homicidio_doloso_por_acidente_de_transito Int64\n",
"numero_de_vitimas_em_homicidio_doloso_por_acidente_de_transito Int64\n",
"homicidio_culposo_por_acidente_de_transito Int64\n",
"homicidio_culposo_outros Int64\n",
"tentativa_de_homicidio Int64\n",
"lesao_corporal_seguida_de_morte Int64\n",
"lesao_corporal_dolosa Int64\n",
"lesao_corporal_culposa_por_acidente_de_transito Int64\n",
"lesao_corporal_culposa_outras Int64\n",
"latrocinio Int64\n",
"numero_de_vitimas_em_latrocinio Int64\n",
"total_de_estupro Int64\n",
"estupro Int64\n",
"estupro_de_vulneravel Int64\n",
"total_de_roubo_outros Int64\n",
"roubo_outros Int64\n",
"roubo_de_veiculo Int64\n",
"roubo_a_banco Int64\n",
"roubo_de_carga Int64\n",
"furto_outros Int64\n",
"furto_de_veiculo Int64\n",
"Descricao_Cidade object\n",
"dtype: object"
]
},
"execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ocorrencias_bx.dtypes"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_ocorrencias_bx.head(10)\n",
"\n",
"df_ocorrencias_bx_2021 = df_ocorrencias_bx[df_ocorrencias_bx['ano'] == 2021]\n",
"df_ocorrencias_bx_2021.head(15)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"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></th>\n",
" <th>lesao_corporal_seguida_de_morte</th>\n",
" <th>tentativa_de_homicidio</th>\n",
" <th>homicidio_culposo_outros</th>\n",
" <th>roubo_outros</th>\n",
" </tr>\n",
" <tr>\n",
" <th>ano</th>\n",
" <th>Descricao_Cidade</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">2002</th>\n",
" <th>Bertioga</th>\n",
" <td>0</td>\n",
" <td>16</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Cubatão</th>\n",
" <td>0</td>\n",
" <td>80</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Guarujá</th>\n",
" <td>0</td>\n",
" <td>139</td>\n",
" <td>4</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Praia Grande</th>\n",
" <td>0</td>\n",
" <td>112</td>\n",
" <td>9</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Santos</th>\n",
" <td>0</td>\n",
" <td>89</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th rowspan=\"5\" valign=\"top\">2021</th>\n",
" <th>Cubatão</th>\n",
" <td>0</td>\n",
" <td>10</td>\n",
" <td>0</td>\n",
" <td>264</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Guarujá</th>\n",
" <td>0</td>\n",
" <td>24</td>\n",
" <td>0</td>\n",
" <td>1726</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Praia Grande</th>\n",
" <td>1</td>\n",
" <td>22</td>\n",
" <td>2</td>\n",
" <td>1543</td>\n",
" </tr>\n",
" <tr>\n",
" <th>Santos</th>\n",
" <td>1</td>\n",
" <td>19</td>\n",
" <td>0</td>\n",
" <td>1140</td>\n",
" </tr>\n",
" <tr>\n",
" <th>São Vicente</th>\n",
" <td>0</td>\n",
" <td>6</td>\n",
" <td>1</td>\n",
" <td>1180</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>120 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" lesao_corporal_seguida_de_morte \\\n",
"ano Descricao_Cidade \n",
"2002 Bertioga 0 \n",
" Cubatão 0 \n",
" Guarujá 0 \n",
" Praia Grande 0 \n",
" Santos 0 \n",
"... ... \n",
"2021 Cubatão 0 \n",
" Guarujá 0 \n",
" Praia Grande 1 \n",
" Santos 1 \n",
" São Vicente 0 \n",
"\n",
" tentativa_de_homicidio homicidio_culposo_outros \\\n",
"ano Descricao_Cidade \n",
"2002 Bertioga 16 0 \n",
" Cubatão 80 1 \n",
" Guarujá 139 4 \n",
" Praia Grande 112 9 \n",
" Santos 89 0 \n",
"... ... ... \n",
"2021 Cubatão 10 0 \n",
" Guarujá 24 0 \n",
" Praia Grande 22 2 \n",
" Santos 19 0 \n",
" São Vicente 6 1 \n",
"\n",
" roubo_outros \n",
"ano Descricao_Cidade \n",
"2002 Bertioga 0 \n",
" Cubatão 0 \n",
" Guarujá 0 \n",
" Praia Grande 0 \n",
" Santos 0 \n",
"... ... \n",
"2021 Cubatão 264 \n",
" Guarujá 1726 \n",
" Praia Grande 1543 \n",
" Santos 1140 \n",
" São Vicente 1180 \n",
"\n",
"[120 rows x 4 columns]"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['lesao_corporal_seguida_de_morte','tentativa_de_homicidio','homicidio_culposo_outros','roubo_outros'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"ano Descricao_Cidade\n",
"2002 Bertioga 16\n",
" Cubatão 80\n",
" Guarujá 139\n",
" Praia Grande 112\n",
" Santos 89\n",
" ... \n",
"2021 Cubatão 10\n",
" Guarujá 24\n",
" Praia Grande 22\n",
" Santos 19\n",
" São Vicente 6\n",
"Name: tentativa_de_homicidio, Length: 120, dtype: Int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['tentativa_de_homicidio'].sum()"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"ano Descricao_Cidade\n",
"2002 Bertioga 1\n",
" Cubatão 5\n",
" Guarujá 6\n",
" Praia Grande 2\n",
" Santos 16\n",
" ..\n",
"2021 Cubatão 20\n",
" Guarujá 20\n",
" Praia Grande 47\n",
" Santos 10\n",
" São Vicente 10\n",
"Name: roubo_de_carga, Length: 120, dtype: Int64"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df_ocorrencias_bx.groupby(['ano', 'Descricao_Cidade'])['roubo_de_carga'].sum()"
]
}
],
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