Analise_3_TCE-RS.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análise Exploratória em Conjunto de Dados do TCE-RS"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Análise 3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Business Understanding"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    - Quais são os principais bens materiais comprados pelos órgãos públicos do Rio Grande do Sul?\n",
    "    - É possível identificar algum padrão nas compras? Seja por época do ano ou por tipo de órgão comprador? \n",
    "    - O que mais é possível descobrir sobre as licitações do estado?\n",
    "    - Manual disponível em: https://portalnovo.tce.rs.gov.br/repo/cex/licitacon/eValidador-licitacon-manual-layout-1.4.pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Undestanding"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "from datetime import datetime\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib as mat\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib.pyplot import figure\n",
    "from IPython.display import display\n",
    "import seaborn as sns\n",
    "plt.style.use('ggplot')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>NM_ORGAO</th>\n",
       "      <th>NR_LICITACAO</th>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>CD_TIPO_MODALIDADE</th>\n",
       "      <th>TP_OBJETO</th>\n",
       "      <th>DS_OBJETO</th>\n",
       "      <th>VL_LICITACAO</th>\n",
       "      <th>DT_HOMOLOGACAO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PM DE NOVA PALMA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>TMP</td>\n",
       "      <td>CSE</td>\n",
       "      <td>CONTRATAÇÃO GLOBAL DE EMPRESA PARA CONSTRUÇÃO ...</td>\n",
       "      <td>276405.12</td>\n",
       "      <td>2019-10-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PM DE NOVA PALMA</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>TMP</td>\n",
       "      <td>OSE</td>\n",
       "      <td>Reforma da UBS do Distrito da Vila Cruz, pintu...</td>\n",
       "      <td>75396.00</td>\n",
       "      <td>2019-04-29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CIA. ÁGUAS TERMAIS MARCELINO RAMOS - TERMASA</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>EST</td>\n",
       "      <td>PER</td>\n",
       "      <td>Constitui objeto da presente Licitação a explo...</td>\n",
       "      <td>105612.48</td>\n",
       "      <td>2019-08-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PM DE ESPERANÇA DO SUL</td>\n",
       "      <td>34.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>CNV</td>\n",
       "      <td>OUS</td>\n",
       "      <td>Contratação de serviços de arbitragem para atu...</td>\n",
       "      <td>10600.00</td>\n",
       "      <td>2019-05-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PM DE BOA VISTA DO SUL</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2019</td>\n",
       "      <td>PRP</td>\n",
       "      <td>OUS</td>\n",
       "      <td>Contratação de empresa para prestação de servi...</td>\n",
       "      <td>430770.00</td>\n",
       "      <td>2019-01-28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       NM_ORGAO  NR_LICITACAO  ANO_LICITACAO  \\\n",
       "0                              PM DE NOVA PALMA           3.0           2019   \n",
       "1                              PM DE NOVA PALMA           1.0           2019   \n",
       "2  CIA. ÁGUAS TERMAIS MARCELINO RAMOS - TERMASA           3.0           2019   \n",
       "3                        PM DE ESPERANÇA DO SUL          34.0           2019   \n",
       "4                        PM DE BOA VISTA DO SUL           3.0           2019   \n",
       "\n",
       "  CD_TIPO_MODALIDADE TP_OBJETO  \\\n",
       "0                TMP       CSE   \n",
       "1                TMP       OSE   \n",
       "2                EST       PER   \n",
       "3                CNV       OUS   \n",
       "4                PRP       OUS   \n",
       "\n",
       "                                           DS_OBJETO  VL_LICITACAO  \\\n",
       "0  CONTRATAÇÃO GLOBAL DE EMPRESA PARA CONSTRUÇÃO ...     276405.12   \n",
       "1  Reforma da UBS do Distrito da Vila Cruz, pintu...      75396.00   \n",
       "2  Constitui objeto da presente Licitação a explo...     105612.48   \n",
       "3  Contratação de serviços de arbitragem para atu...      10600.00   \n",
       "4  Contratação de empresa para prestação de servi...     430770.00   \n",
       "\n",
       "  DT_HOMOLOGACAO  \n",
       "0     2019-10-11  \n",
       "1     2019-04-29  \n",
       "2     2019-08-14  \n",
       "3     2019-05-07  \n",
       "4     2019-01-28  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Importando arquivo consolidado licitacao.csv\n",
    "path = r'C:\\Users\\casoto\\Desktop\\TCE-RS'\n",
    "licitacoes = pd.read_csv(path + '\\\\licitacoes.csv')\n",
    "pd.options.display.max_columns = None # Mostrar todas as colunas\n",
    "licitacoes['DT_HOMOLOGACAO'] = pd.to_datetime(licitacoes['DT_HOMOLOGACAO'], format = '%Y-%m-%d')\n",
    "licitacoes.drop(columns = ['Unnamed: 0'], inplace = True)\n",
    "licitacoes.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(237011, 8)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Identificar tamanho da base de dados\n",
    "licitacoes.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Exploration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Avaliando Outliers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mediana: 15991.45 \n",
      "Quantidade de registros: (165937, 8)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Identificando outliers (amostragem com margem escolhida ate R$70000)\n",
    "\n",
    "figure(figsize=(12, 8), dpi=80) # Alterar escala\n",
    "\n",
    "subset_licitacoes = pd.DataFrame(licitacoes.loc[licitacoes['VL_LICITACAO'] < 70000])\n",
    "sns.boxplot(x=subset_licitacoes['VL_LICITACAO']).set(title = 'Boxplot de Valores de Licitação', xlabel = 'Valor licitação')\n",
    "print('Mediana:', licitacoes['VL_LICITACAO'].median(), '\\nQuantidade de registros:', subset_licitacoes.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        No boxplot acima, foi avaliado com subset para determinar faixa de outliers dentro do dataset analisado. Por conta  dos outliers, o gráfico em resolução original ficou fora de escala, portanto foi delimitado uma faixa de valores de até  70 mil reais."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>NM_ORGAO</th>\n",
       "      <th>NR_LICITACAO</th>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>CD_TIPO_MODALIDADE</th>\n",
       "      <th>TP_OBJETO</th>\n",
       "      <th>DS_OBJETO</th>\n",
       "      <th>VL_LICITACAO</th>\n",
       "      <th>DT_HOMOLOGACAO</th>\n",
       "      <th>MES_LICITACAO</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>71601</th>\n",
       "      <td>PM DE BARÃO</td>\n",
       "      <td>20.00</td>\n",
       "      <td>2018</td>\n",
       "      <td>PRP</td>\n",
       "      <td>OUS</td>\n",
       "      <td>SERVIÇOS DE PROFISSIONAL NA ÁREA DE SERVIÇO SO...</td>\n",
       "      <td>69999.96</td>\n",
       "      <td>2018-05-15</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155641</th>\n",
       "      <td>PM DE PAROBÉ</td>\n",
       "      <td>19.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>PRP</td>\n",
       "      <td>OUS</td>\n",
       "      <td>Constitui objeto da presente licitação a contr...</td>\n",
       "      <td>69999.96</td>\n",
       "      <td>2017-05-10</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157763</th>\n",
       "      <td>PM DE FREDERICO WESTPHALEN</td>\n",
       "      <td>26.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>PRP</td>\n",
       "      <td>COM</td>\n",
       "      <td>aquisição de materiais para demarcação viária</td>\n",
       "      <td>69997.50</td>\n",
       "      <td>2017-04-26</td>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68766</th>\n",
       "      <td>PM DE SÃO JERÔNIMO</td>\n",
       "      <td>53.00</td>\n",
       "      <td>2019</td>\n",
       "      <td>PRP</td>\n",
       "      <td>CSE</td>\n",
       "      <td>CONTRATAÇÃO DE SERVIÇO DE CONSULTA COM OPTOMET...</td>\n",
       "      <td>69996.00</td>\n",
       "      <td>2019-04-30</td>\n",
       "      <td>4.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158976</th>\n",
       "      <td>PM DE AMETISTA DO SUL</td>\n",
       "      <td>6.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>CNV</td>\n",
       "      <td>COM</td>\n",
       "      <td>AQUISIÇÃO DE MUDAS DE CITRUS PARA DISTRIBUIÇÃO...</td>\n",
       "      <td>69995.12</td>\n",
       "      <td>2017-05-11</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105424</th>\n",
       "      <td>PM DE MORRO REUTER</td>\n",
       "      <td>40.00</td>\n",
       "      <td>2018</td>\n",
       "      <td>PRP</td>\n",
       "      <td>OUS</td>\n",
       "      <td>Seguro Veículos</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2018-09-13</td>\n",
       "      <td>9.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158497</th>\n",
       "      <td>PM DE GAURAMA</td>\n",
       "      <td>13.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>CNV</td>\n",
       "      <td>COM</td>\n",
       "      <td>Aquisição de lubrificantes para a frota munici...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2017-05-16</td>\n",
       "      <td>5.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26643</th>\n",
       "      <td>PM DE SAPUCAIA DO SUL</td>\n",
       "      <td>21.00</td>\n",
       "      <td>2019</td>\n",
       "      <td>PRE</td>\n",
       "      <td>COM</td>\n",
       "      <td>REGISTRO DE PREÇOS PARA FUTURA E EVENTUAL AQUI...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2019-08-05</td>\n",
       "      <td>8.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202163</th>\n",
       "      <td>PM DE FLORES DA CUNHA</td>\n",
       "      <td>119.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>PRP</td>\n",
       "      <td>COM</td>\n",
       "      <td>Registro de preços de troféus e medalhas para ...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2017-11-21</td>\n",
       "      <td>11.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185152</th>\n",
       "      <td>PM DE ESTEIO</td>\n",
       "      <td>1.00</td>\n",
       "      <td>2017</td>\n",
       "      <td>PRP</td>\n",
       "      <td>CSE</td>\n",
       "      <td>Contratação de empresa para a realização do An...</td>\n",
       "      <td>0.00</td>\n",
       "      <td>2017-02-24</td>\n",
       "      <td>2.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>85270 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          NM_ORGAO  NR_LICITACAO  ANO_LICITACAO  \\\n",
       "71601                  PM DE BARÃO         20.00           2018   \n",
       "155641                PM DE PAROBÉ         19.00           2017   \n",
       "157763  PM DE FREDERICO WESTPHALEN         26.00           2017   \n",
       "68766           PM DE SÃO JERÔNIMO         53.00           2019   \n",
       "158976       PM DE AMETISTA DO SUL          6.00           2017   \n",
       "...                            ...           ...            ...   \n",
       "105424          PM DE MORRO REUTER         40.00           2018   \n",
       "158497               PM DE GAURAMA         13.00           2017   \n",
       "26643        PM DE SAPUCAIA DO SUL         21.00           2019   \n",
       "202163       PM DE FLORES DA CUNHA        119.00           2017   \n",
       "185152                PM DE ESTEIO          1.00           2017   \n",
       "\n",
       "       CD_TIPO_MODALIDADE TP_OBJETO  \\\n",
       "71601                 PRP       OUS   \n",
       "155641                PRP       OUS   \n",
       "157763                PRP       COM   \n",
       "68766                 PRP       CSE   \n",
       "158976                CNV       COM   \n",
       "...                   ...       ...   \n",
       "105424                PRP       OUS   \n",
       "158497                CNV       COM   \n",
       "26643                 PRE       COM   \n",
       "202163                PRP       COM   \n",
       "185152                PRP       CSE   \n",
       "\n",
       "                                                DS_OBJETO  VL_LICITACAO  \\\n",
       "71601   SERVIÇOS DE PROFISSIONAL NA ÁREA DE SERVIÇO SO...      69999.96   \n",
       "155641  Constitui objeto da presente licitação a contr...      69999.96   \n",
       "157763      aquisição de materiais para demarcação viária      69997.50   \n",
       "68766   CONTRATAÇÃO DE SERVIÇO DE CONSULTA COM OPTOMET...      69996.00   \n",
       "158976  AQUISIÇÃO DE MUDAS DE CITRUS PARA DISTRIBUIÇÃO...      69995.12   \n",
       "...                                                   ...           ...   \n",
       "105424                                    Seguro Veículos          0.00   \n",
       "158497  Aquisição de lubrificantes para a frota munici...          0.00   \n",
       "26643   REGISTRO DE PREÇOS PARA FUTURA E EVENTUAL AQUI...          0.00   \n",
       "202163  Registro de preços de troféus e medalhas para ...          0.00   \n",
       "185152  Contratação de empresa para a realização do An...          0.00   \n",
       "\n",
       "       DT_HOMOLOGACAO  MES_LICITACAO  \n",
       "71601      2018-05-15           5.00  \n",
       "155641     2017-05-10           5.00  \n",
       "157763     2017-04-26           4.00  \n",
       "68766      2019-04-30           4.00  \n",
       "158976     2017-05-11           5.00  \n",
       "...               ...            ...  \n",
       "105424     2018-09-13           9.00  \n",
       "158497     2017-05-16           5.00  \n",
       "26643      2019-08-05           8.00  \n",
       "202163     2017-11-21          11.00  \n",
       "185152     2017-02-24           2.00  \n",
       "\n",
       "[85270 rows x 9 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Limpando dados com informacões faltantes\n",
    "subset_licitacoes['MES_LICITACAO'] = pd.DatetimeIndex(subset_licitacoes['DT_HOMOLOGACAO']).month\n",
    "subset_licitacoes.dropna(subset = ['MES_LICITACAO', 'VL_LICITACAO'], inplace = True)\n",
    "subset_licitacoes.sort_values(by = 'VL_LICITACAO', ascending = False, inplace = True)\n",
    "pd.set_option('display.float_format', lambda x: '%.2f' % x) # Remover notação cientifica do DataFrame\n",
    "subset_licitacoes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(85270, 9)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Identificar tamanho da base de dados\n",
    "subset_licitacoes.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sazonalidade por Valor Total em Licitações"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 960x640 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grafico com comparação entre anos, mês-a-mês por valor acumulado\n",
    "\n",
    "figure(figsize=(12, 8), dpi = 80) # Alterar escala\n",
    "\n",
    "gpby_vl_licitacao = subset_licitacoes.groupby(['ANO_LICITACAO', 'MES_LICITACAO']).sum()\n",
    "gpby_vl_licitacao.drop(columns = ['NR_LICITACAO'], inplace = True)\n",
    "gpby_vl_licitacao\n",
    "\n",
    "overall = gpby_vl_licitacao.unstack(level=0)\n",
    "with plt.style.context('Solarize_Light2'):\n",
    "    for col_id in range(4):\n",
    "        plt.plot(overall.iloc[:,col_id])\n",
    "    plt.legend([x for x in range(2016,2020)])\n",
    "    plt.title('Sazonalidade por Valor Total em Licitações', fontsize = 18)\n",
    "    plt.xlabel('Mês')\n",
    "    plt.ylabel('Valor acumulado')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        No gráfico acima, foi apresentado anualmente (linhas) uma análise sazonal por valor total em licitações como uma forma de identificação visual de desvios mais agravantes por período. Alguns questionamentos podem ser feitos a partir deste gráficos, como:\n",
    "        1. Porque houve um aumento tão grande nas licitações entre os anos de 2016 e 2017?\n",
    "        2. Porque houveram quedas tão abruptas em determinados períodos (ex.: Nov/2019-Dez/2019)?\n",
    "        3. Porque houveram aumentos tão abruptos em determinados períodos (ex.: Abr/2016-Mai/2016)?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Agrupar totais de licitacões por modalidades, ano-a-ano\n",
    "gpby_vl_licitacao = subset_licitacoes.groupby(['ANO_LICITACAO', 'MES_LICITACAO']).sum()\n",
    "gpby_vl_licitacao['DIFF'] = gpby_vl_licitacao['VL_LICITACAO'].diff()\n",
    "gpby_vl_licitacao['DELTA'] = round((gpby_vl_licitacao['DIFF'] / gpby_vl_licitacao['VL_LICITACAO']) * 100, 2)\n",
    "gpby_vl_licitacao.drop(columns = ['NR_LICITACAO'], inplace = True)\n",
    "\n",
    "delta_less = gpby_vl_licitacao.sort_values(by = ['DELTA'], ascending = True)\n",
    "delta_more = gpby_vl_licitacao.sort_values(by = ['DELTA'], ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Quedas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "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>VL_LICITACAO</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>DELTA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>MES_LICITACAO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2019</th>\n",
       "      <th>12.00</th>\n",
       "      <td>1668118.77</td>\n",
       "      <td>-28517817.17</td>\n",
       "      <td>-1709.58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1.00</th>\n",
       "      <td>16152351.86</td>\n",
       "      <td>-14948893.32</td>\n",
       "      <td>-92.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <th>2.00</th>\n",
       "      <td>3429978.92</td>\n",
       "      <td>-2064385.13</td>\n",
       "      <td>-60.19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <th>9.00</th>\n",
       "      <td>32561811.05</td>\n",
       "      <td>-13447773.73</td>\n",
       "      <td>-41.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <th>10.00</th>\n",
       "      <td>19780792.48</td>\n",
       "      <td>-8037594.78</td>\n",
       "      <td>-40.63</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             VL_LICITACAO         DIFF    DELTA\n",
       "ANO_LICITACAO MES_LICITACAO                                    \n",
       "2019          12.00            1668118.77 -28517817.17 -1709.58\n",
       "              1.00            16152351.86 -14948893.32   -92.55\n",
       "2016          2.00             3429978.92  -2064385.13   -60.19\n",
       "2018          9.00            32561811.05 -13447773.73   -41.30\n",
       "2016          10.00           19780792.48  -8037594.78   -40.63"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Porque os valores despencaram em Dez/2019?\n",
    "delta_less.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">VL_LICITACAO</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>DELTA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MES_LICITACAO</th>\n",
       "      <th>11.0</th>\n",
       "      <th>12.0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD_TIPO_MODALIDADE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>TMP</th>\n",
       "      <td>2204130.65</td>\n",
       "      <td>41050.39</td>\n",
       "      <td>-2163080.26</td>\n",
       "      <td>-98.14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE</th>\n",
       "      <td>5828803.23</td>\n",
       "      <td>125189.88</td>\n",
       "      <td>-5703613.35</td>\n",
       "      <td>-97.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRI</th>\n",
       "      <td>1735219.12</td>\n",
       "      <td>40200.00</td>\n",
       "      <td>-1695019.12</td>\n",
       "      <td>-97.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRP</th>\n",
       "      <td>13276840.64</td>\n",
       "      <td>851286.75</td>\n",
       "      <td>-12425553.89</td>\n",
       "      <td>-93.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRD</th>\n",
       "      <td>3011736.84</td>\n",
       "      <td>224282.90</td>\n",
       "      <td>-2787453.94</td>\n",
       "      <td>-92.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNV</th>\n",
       "      <td>1889201.79</td>\n",
       "      <td>303871.77</td>\n",
       "      <td>-1585330.02</td>\n",
       "      <td>-83.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPO</th>\n",
       "      <td>324151.30</td>\n",
       "      <td>82237.08</td>\n",
       "      <td>-241914.22</td>\n",
       "      <td>-74.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CHP</th>\n",
       "      <td>207438.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNC</th>\n",
       "      <td>435566.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPC</th>\n",
       "      <td>8384.52</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPP</th>\n",
       "      <td>35963.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESE</th>\n",
       "      <td>12188.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LEI</th>\n",
       "      <td>340017.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PDE</th>\n",
       "      <td>876295.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   VL_LICITACAO                   DIFF  DELTA\n",
       "MES_LICITACAO              11.0      12.0                    \n",
       "CD_TIPO_MODALIDADE                                           \n",
       "TMP                  2204130.65  41050.39  -2163080.26 -98.14\n",
       "PRE                  5828803.23 125189.88  -5703613.35 -97.85\n",
       "PRI                  1735219.12  40200.00  -1695019.12 -97.68\n",
       "PRP                 13276840.64 851286.75 -12425553.89 -93.59\n",
       "PRD                  3011736.84 224282.90  -2787453.94 -92.55\n",
       "CNV                  1889201.79 303871.77  -1585330.02 -83.92\n",
       "RPO                   324151.30  82237.08   -241914.22 -74.63\n",
       "CHP                   207438.13      0.00         0.00   0.00\n",
       "CNC                   435566.09      0.00         0.00   0.00\n",
       "CPC                     8384.52      0.00         0.00   0.00\n",
       "CPP                    35963.19      0.00         0.00   0.00\n",
       "ESE                    12188.00      0.00         0.00   0.00\n",
       "LEI                   340017.20      0.00         0.00   0.00\n",
       "PDE                   876295.24      0.00         0.00   0.00"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando categorias/modalidades com maiores quedas\n",
    "\n",
    "gpby_delta_less = subset_licitacoes.loc[(subset_licitacoes['ANO_LICITACAO'] == 2019) & \\\n",
    "                 (subset_licitacoes['MES_LICITACAO'].isin([11,12]))] \\\n",
    "                 .groupby(['MES_LICITACAO', 'CD_TIPO_MODALIDADE']).sum()\n",
    "\n",
    "# Consolidando agrupamento por modalidades\n",
    "gpby_delta_less.sort_values(by = 'VL_LICITACAO', ascending = False, inplace = True)\n",
    "gpby_delta_less.drop(columns = ['NR_LICITACAO', 'ANO_LICITACAO'], inplace = True)\n",
    "gpby_delta_less = gpby_delta_less.unstack(level = 0)\n",
    "\n",
    "# Adicionando colunas de cálculos e estabelecendo ordenação por coluna 'DELTA'\n",
    "gpby_delta_less['DIFF'] = gpby_delta_less.iloc[:,1] - gpby_delta_less.iloc[:,0]\n",
    "gpby_delta_less['DELTA'] = round((gpby_delta_less['DIFF'] / gpby_delta_less.iloc[:,0]) * 100, 2)\n",
    "gpby_delta_less = gpby_delta_less.fillna(0)\n",
    "gpby_delta_less.sort_values(by = 'DELTA', ascending = True, inplace = True)\n",
    "\n",
    "gpby_delta_less"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        Na tabela acima, podemos verificar os maiores deltas (em percentual) relativos ao meses de Novembro e Dezembro de 2019 com quedas abruptas em algumas modalidades, por exemplo:\n",
    "        1. Tomada de preços (TMP; queda de 98.14% em relação ao último mês);\n",
    "        2. Pregão Eletrônico (PRE; queda de 97.85% em relação ao último mês);\n",
    "        3. Processo de Inexigibilidade (PRI; queda de 97.68% em relação ao último mês).\n",
    "        4. Quedas significativas em outras modalidades, como PRP, PRD, CNV e RPO também (vide tabela).\n",
    "        5. Nenhuma licitação registrada em Dezembro para as demais categorias."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Aumentos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>VL_LICITACAO</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>DELTA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>MES_LICITACAO</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <th>5.00</th>\n",
       "      <td>29656334.18</td>\n",
       "      <td>25158637.81</td>\n",
       "      <td>84.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <th>2.00</th>\n",
       "      <td>41590580.94</td>\n",
       "      <td>25438229.08</td>\n",
       "      <td>61.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018</th>\n",
       "      <th>2.00</th>\n",
       "      <td>39418088.49</td>\n",
       "      <td>13336846.94</td>\n",
       "      <td>33.83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">2017</th>\n",
       "      <th>2.00</th>\n",
       "      <td>33982410.84</td>\n",
       "      <td>10844740.41</td>\n",
       "      <td>31.91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.00</th>\n",
       "      <td>48277145.61</td>\n",
       "      <td>14294734.77</td>\n",
       "      <td>29.61</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             VL_LICITACAO        DIFF  DELTA\n",
       "ANO_LICITACAO MES_LICITACAO                                 \n",
       "2016          5.00            29656334.18 25158637.81  84.83\n",
       "2019          2.00            41590580.94 25438229.08  61.16\n",
       "2018          2.00            39418088.49 13336846.94  33.83\n",
       "2017          2.00            33982410.84 10844740.41  31.91\n",
       "              3.00            48277145.61 14294734.77  29.61"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Porque os valores aumentaram tanto em Mar/2016?\n",
    "delta_more.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
       "    .dataframe thead tr:last-of-type th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <th colspan=\"2\" halign=\"left\">VL_LICITACAO</th>\n",
       "      <th>DIFF</th>\n",
       "      <th>DELTA</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>MES_LICITACAO</th>\n",
       "      <th>11.0</th>\n",
       "      <th>12.0</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CD_TIPO_MODALIDADE</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CHP</th>\n",
       "      <td>207438.13</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNC</th>\n",
       "      <td>435566.09</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPC</th>\n",
       "      <td>8384.52</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CPP</th>\n",
       "      <td>35963.19</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ESE</th>\n",
       "      <td>12188.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>LEI</th>\n",
       "      <td>340017.20</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PDE</th>\n",
       "      <td>876295.24</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RPO</th>\n",
       "      <td>324151.30</td>\n",
       "      <td>82237.08</td>\n",
       "      <td>-241914.22</td>\n",
       "      <td>-74.63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CNV</th>\n",
       "      <td>1889201.79</td>\n",
       "      <td>303871.77</td>\n",
       "      <td>-1585330.02</td>\n",
       "      <td>-83.92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRD</th>\n",
       "      <td>3011736.84</td>\n",
       "      <td>224282.90</td>\n",
       "      <td>-2787453.94</td>\n",
       "      <td>-92.55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRP</th>\n",
       "      <td>13276840.64</td>\n",
       "      <td>851286.75</td>\n",
       "      <td>-12425553.89</td>\n",
       "      <td>-93.59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRI</th>\n",
       "      <td>1735219.12</td>\n",
       "      <td>40200.00</td>\n",
       "      <td>-1695019.12</td>\n",
       "      <td>-97.68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PRE</th>\n",
       "      <td>5828803.23</td>\n",
       "      <td>125189.88</td>\n",
       "      <td>-5703613.35</td>\n",
       "      <td>-97.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TMP</th>\n",
       "      <td>2204130.65</td>\n",
       "      <td>41050.39</td>\n",
       "      <td>-2163080.26</td>\n",
       "      <td>-98.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   VL_LICITACAO                   DIFF  DELTA\n",
       "MES_LICITACAO              11.0      12.0                    \n",
       "CD_TIPO_MODALIDADE                                           \n",
       "CHP                   207438.13      0.00         0.00   0.00\n",
       "CNC                   435566.09      0.00         0.00   0.00\n",
       "CPC                     8384.52      0.00         0.00   0.00\n",
       "CPP                    35963.19      0.00         0.00   0.00\n",
       "ESE                    12188.00      0.00         0.00   0.00\n",
       "LEI                   340017.20      0.00         0.00   0.00\n",
       "PDE                   876295.24      0.00         0.00   0.00\n",
       "RPO                   324151.30  82237.08   -241914.22 -74.63\n",
       "CNV                  1889201.79 303871.77  -1585330.02 -83.92\n",
       "PRD                  3011736.84 224282.90  -2787453.94 -92.55\n",
       "PRP                 13276840.64 851286.75 -12425553.89 -93.59\n",
       "PRI                  1735219.12  40200.00  -1695019.12 -97.68\n",
       "PRE                  5828803.23 125189.88  -5703613.35 -97.85\n",
       "TMP                  2204130.65  41050.39  -2163080.26 -98.14"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Verificando categorias/modalidades com maiores aumentos\n",
    "\n",
    "gpby_delta_more = subset_licitacoes.loc[(subset_licitacoes['ANO_LICITACAO'] == 2016) & \\\n",
    "                 (subset_licitacoes['MES_LICITACAO'].isin([4,5]))] \\\n",
    "                 .groupby(['MES_LICITACAO', 'CD_TIPO_MODALIDADE']).sum()\n",
    "\n",
    "# Consolidando agrupamento por modalidades\n",
    "gpby_delta_more.sort_values(by = 'VL_LICITACAO', ascending = False, inplace = True)\n",
    "gpby_delta_more.drop(columns = ['NR_LICITACAO', 'ANO_LICITACAO'], inplace = True)\n",
    "gpby_delta_more = gpby_delta_more.unstack(level = 0)\n",
    "\n",
    "# Adicionando colunas de cálculos e estabelecendo ordenação por coluna 'DELTA'\n",
    "gpby_delta_more['DIFF'] = gpby_delta_more.iloc[:,1] - gpby_delta_more.iloc[:,0]\n",
    "gpby_delta_more['DELTA'] = round((gpby_delta_more['DIFF'] / gpby_delta_more.iloc[:,0]) * 100, 2)\n",
    "gpby_delta_more = gpby_delta_less.fillna(0)\n",
    "gpby_delta_more.sort_values(by = 'DELTA', ascending = False, inplace = True)\n",
    "\n",
    "gpby_delta_more"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        Na segunda tabela, podemos verificar os maiores deltas (em percentual) relativos ao meses de Abril e Maio de 2016   com quedas abruptas em algumas modalidades, por exemplo:\n",
    "        1. Chamamento Público/Credenciamento (houveram gastos contabilizados em Maio de R$ 10.830,00);\n",
    "        2. Processo de Inexigibilidade (PRI; aumento expressivo de 2803% em relação ao último mês);\n",
    "        3. Outros aumentos significativos em outras modalidades (CNV, PRD, PRP, etc.)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x1296 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Criando gráficos com acompanhamentos mensais para os principais tipos de contratação\n",
    "# Declarar variáveis\n",
    "years = [x for x in range(2016,2020)]\n",
    "labels = ['PRD', 'PRI', 'PRE', 'TMP', 'CNV']\n",
    "months = [x for x in range(1,13,1)]\n",
    "\n",
    "fig, axs = plt.subplots(4, figsize = (18,18)) # Alterar escala\n",
    "\n",
    "with plt.style.context('Solarize_Light2'):\n",
    "    n = 0\n",
    "    for y in years:\n",
    "        # Criar base agrupada com ano filtrado\n",
    "        gpby_modalidades_mensal = subset_licitacoes.loc[subset_licitacoes['ANO_LICITACAO'] == y].groupby(['MES_LICITACAO', 'CD_TIPO_MODALIDADE']).sum()\n",
    "        gpby_modalidades_mensal.drop(columns = ['NR_LICITACAO', 'ANO_LICITACAO'], inplace = True)\n",
    "        gpby_modalidades_mensal = gpby_modalidades_mensal.unstack(level = 0)\n",
    "        for l in labels:\n",
    "            axs[n].plot(months, gpby_modalidades_mensal.loc[l]) # Subplots por ano\n",
    "            axs[n].title.set_text(y)\n",
    "            axs[n].legend(labels, loc='upper left')\n",
    "        n += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "        Nos gráficos gerados acima, podemos ter uma ampla visão comparativa entre os anos e os principais tipos de contratação (elencados a partir do gráfico 'Quantidade de Registros por Forma de Contratação', no primeiro arquivo de análise), identificando assim diferentes tipos de comportamentos, tais como:\n",
    "        1. Alguns tipos de contratação possuem baixa oscilação ao decorrer do ano (ex.: PRD);\n",
    "        2. Outros tipos de contratação possuem maior variação nos primeiros bimestres do ano (ex.: CNV, primeiro e segundo bimestre dos anos de 2017-2019);\n",
    "        3. Outros tipos de contratação possuem aumento de demanda no quarto e quinto bimestre (ex.: PRE).\n",
    "\n",
    "        Esta visualização nos ajuda a ter um acompanhamento macro dos tipos de requisições feitos ao decorrer do ano."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Principais Bens Materiais Comprados em Cada Orgão"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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></th>\n",
       "      <th>VL_LICITACAO</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM_ORGAO</th>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>CD_TIPO_MODALIDADE</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>PM DE PELOTAS</th>\n",
       "      <th>2017</th>\n",
       "      <th>PRE</th>\n",
       "      <td>5312648.57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIA. RIOGRANDENSE DE SANEAMENTO</th>\n",
       "      <th>2019</th>\n",
       "      <th>PDE</th>\n",
       "      <td>4329567.65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">PM DE PELOTAS</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRE</th>\n",
       "      <td>3524727.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2016</th>\n",
       "      <th>PRE</th>\n",
       "      <td>2650657.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE GUAÍBA</th>\n",
       "      <th>2017</th>\n",
       "      <th>PRE</th>\n",
       "      <td>2132637.13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CENTRAL DE LICITAÇÕES DO ESTADO</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRE</th>\n",
       "      <td>2009180.84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">PM DE CACHOEIRA DO SUL</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRE</th>\n",
       "      <td>1906309.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <th>PRE</th>\n",
       "      <td>1869493.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"3\" valign=\"top\">PM DE GUAPORÉ</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1849795.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2019</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1831046.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1742859.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE GETÚLIO VARGAS</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1723794.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE ERECHIM</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1716967.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE CACHOEIRA DO SUL</th>\n",
       "      <th>2017</th>\n",
       "      <th>PRE</th>\n",
       "      <td>1709208.67</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE FLORES DA CUNHA</th>\n",
       "      <th>2017</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1655906.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE GETÚLIO VARGAS</th>\n",
       "      <th>2019</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1627264.02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE IJUÍ</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1625506.70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE ERECHIM</th>\n",
       "      <th>2016</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1608641.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE DOM PEDRITO</th>\n",
       "      <th>2018</th>\n",
       "      <th>PRP</th>\n",
       "      <td>1588981.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>FUND. DE SAÚDE PÚBLICA DE NOVO HAMBURGO</th>\n",
       "      <th>2016</th>\n",
       "      <th>PRE</th>\n",
       "      <td>1586321.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                          VL_LICITACAO\n",
       "NM_ORGAO                                ANO_LICITACAO CD_TIPO_MODALIDADE              \n",
       "PM DE PELOTAS                           2017          PRE                   5312648.57\n",
       "CIA. RIOGRANDENSE DE SANEAMENTO         2019          PDE                   4329567.65\n",
       "PM DE PELOTAS                           2018          PRE                   3524727.71\n",
       "                                        2016          PRE                   2650657.10\n",
       "PM DE GUAÍBA                            2017          PRE                   2132637.13\n",
       "CENTRAL DE LICITAÇÕES DO ESTADO         2018          PRE                   2009180.84\n",
       "PM DE CACHOEIRA DO SUL                  2018          PRE                   1906309.78\n",
       "                                        2019          PRE                   1869493.54\n",
       "PM DE GUAPORÉ                           2018          PRP                   1849795.42\n",
       "                                        2019          PRP                   1831046.78\n",
       "                                        2017          PRP                   1742859.06\n",
       "PM DE GETÚLIO VARGAS                    2018          PRP                   1723794.86\n",
       "PM DE ERECHIM                           2018          PRP                   1716967.44\n",
       "PM DE CACHOEIRA DO SUL                  2017          PRE                   1709208.67\n",
       "PM DE FLORES DA CUNHA                   2017          PRP                   1655906.87\n",
       "PM DE GETÚLIO VARGAS                    2019          PRP                   1627264.02\n",
       "PM DE IJUÍ                              2018          PRP                   1625506.70\n",
       "PM DE ERECHIM                           2016          PRP                   1608641.20\n",
       "PM DE DOM PEDRITO                       2018          PRP                   1588981.29\n",
       "FUND. DE SAÚDE PÚBLICA DE NOVO HAMBURGO 2016          PRE                   1586321.03"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Consolidar principais bens materiais comprados em cada orgão\n",
    "subset_licitacoes_com = subset_licitacoes.loc[subset_licitacoes['TP_OBJETO'] == 'COM'] # Filtrando apenas tipo de objeto = Compras\n",
    "gpby_modalidade_com = subset_licitacoes_com.groupby(['NM_ORGAO', 'ANO_LICITACAO', 'CD_TIPO_MODALIDADE']).sum()\n",
    "gpby_modalidade_com.drop(columns = ['NR_LICITACAO', 'MES_LICITACAO'], inplace = True)\n",
    "gpby_modalidade_com.sort_values(by = 'VL_LICITACAO', ascending = False, inplace = True)\n",
    "gpby_modalidade_com.head(20)\n",
    "# Nota: Para o campo CD_TIPO_MODALIDADE, o link para o apêndice referido à descrição encontra-se indisponível no portal \n",
    "# (vide pág. 26, 'Valores: Consulte “Apêndice B” aba “1. Modalidades”); foram ulizados apenas as abreviaturas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 20 Aquisições de Maior Valor (até 70 mil reais)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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></th>\n",
       "      <th>VL_LICITACAO_y</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>NM_ORGAO</th>\n",
       "      <th>ANO_LICITACAO</th>\n",
       "      <th>DS_OBJETO</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>CM DE BOA VISTA DO INCRA</th>\n",
       "      <th>2019</th>\n",
       "      <th>VEICULO AUTOMOTOR ZERO KM, LICENCIADO E EMPLACADO, ANO MODELO 2019</th>\n",
       "      <td>68000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE PIRAPÓ</th>\n",
       "      <th>2018</th>\n",
       "      <th>aquisição de um veículo automotor novo na cor branca, sedan, zero quilômetro, modelo 2019, com quatro rodas, cinco passageiros, com potência mínima de 105 CV a gasolina, motor mínimo de 1.6, bicombustível (gasolina/álcool), pneu roda 15 em aço, tanque com capacidade mínima de 50 (cinquenta) litros, porta mala com capacidade mínima de 500 (quinhentos) litros, com airbag duplo, freios ABS, computador de bordo, para-choques na cor do veículo, retrovisores com regulagem interna, desembaçador do vidro traseiro, vidros elétricos dianteiros e traseiros, travas elétricas, alarme, ar condicionado, direção hidráulica ou elétrica, desembaçador traseiro, jogo de tapes internos, devidamente equipado com todos os acessórios de segurança exigidos na legislação vigente, assistência técnica autorizada com distância não superior a 160 km da cidade de Pirapó, RS, emplacado no Município de Pirapó, RS.</th>\n",
       "      <td>66630.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE SALTO DO JACUÍ</th>\n",
       "      <th>2016</th>\n",
       "      <th>Aquisição de um veículo zero quilômetro, conforme descrições constantes no termo de referência ANEXO I.</th>\n",
       "      <td>63000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE NOVA ESPERANÇA DO SUL</th>\n",
       "      <th>2017</th>\n",
       "      <th>AQUISIÇÃO DE UM VEÍCULO, ZERO QUILÔMETRO, PARA USO EXCLUSIVO DA CÂMARA DE VEREADORES, DO MUNICÍPIO DE NOVA ESPERANÇA DO SUL, RS.</th>\n",
       "      <td>61050.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE SÃO JERÔNIMO</th>\n",
       "      <th>2016</th>\n",
       "      <th>Aquisição de 01 (Um) Veículo Nacional 0 (zero) kilômetro, de fabricação nacional tipo Sedan, na cor preta de acordo com as  especificações técnicas contidas no Anexo I do Edital.</th>\n",
       "      <td>60000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE MAÇAMBARÁ</th>\n",
       "      <th>2017</th>\n",
       "      <th>AQUISIÇÃO DE 01(UM) VEICULO OFICIAL PARA CÂMARA MUNICIPAL DE VEREADORES DE MAÇAMBARÁ E ALIENAÇÃO DE VEICULO VECTRA IRS 0393</th>\n",
       "      <td>60000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE CERRO GRANDE</th>\n",
       "      <th>2017</th>\n",
       "      <th>COMPRA DE UM VEÍCULO SEDAM 4 PORTAS 0KM ANO/MODELO2017, MOTOR - POTENCIA MÍNIMA 80 CAVALOS 1.0, PINTURA SOLIDA, SISTEMA DE SOM, TANQUE DE COMBUSTÍVEL COM NO MINIMO DE 50 LITROS, COMPUTADOR DE BORDO.</th>\n",
       "      <td>60000.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE CRUZ ALTA</th>\n",
       "      <th>2019</th>\n",
       "      <th>Tem por objeto a aquisição de 18 (dezoito) computadores tipo Notebook</th>\n",
       "      <td>59999.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>BANRISUL S.A. CORRETORA DE VALORES MOBILIÁRIOS E CÂMBIO</th>\n",
       "      <th>2019</th>\n",
       "      <th>AQUISIÇÃO DE COMPUTADORES DESKTOP.</th>\n",
       "      <td>59900.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE PANAMBI</th>\n",
       "      <th>2019</th>\n",
       "      <th>Contratação de empresa para fornecimento de equipamentos de ar condicionado para o Poder Legislativo de Panambi.</th>\n",
       "      <td>59600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE MARCELINO RAMOS</th>\n",
       "      <th>2017</th>\n",
       "      <th>Aquisição de equipamentos e mobiliário instalados, montados e aptos para uso.</th>\n",
       "      <td>59150.23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE FONTOURA XAVIER</th>\n",
       "      <th>2019</th>\n",
       "      <th>CHAMADA PÚBLICA para fins de habilitação dos fornecedores e recebimento das propostas de generos alimenticios da agricultura familiar para alimentação escolar, em conformidade com a Lei nº 11.947/09 e Resolução FNDE nº 26/2013, c/c a Lei nº.8.666/93.</th>\n",
       "      <td>58486.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE ANDRÉ DA ROCHA</th>\n",
       "      <th>2018</th>\n",
       "      <th>confecção de uniformes escolares</th>\n",
       "      <td>58140.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CIA. MUNICIPAL DE URBANISMO - NOVO HAMBURGO</th>\n",
       "      <th>2019</th>\n",
       "      <th>Registro de Preços visando a AQUISIÇÃO DE MATERIAL DE EXPEDIENTE para suprir as necessidades da COMPANHIA MUNICIPAL DE URBANISMO - COMUR, descritos e especificados no Anexo I – Termo de Referência (baseado na Requisição de Compra nº 3405/2016) para o período de 12 meses.</th>\n",
       "      <td>57422.30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE TRÊS PASSOS</th>\n",
       "      <th>2019</th>\n",
       "      <th>O objeto do presente Chamamento Público consiste no cadastramento de grupos formais e informais de agricultores familiares para aquisição de gêneros alimentícios da agricultura familiar para a alimentação escolar para os alunos da Educação Infantil e Fundamental da Rede Municipal de Ensino, conforme quantitativos e especificações constante neste edital e previsto no anexo I.</th>\n",
       "      <td>56524.52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PM DE NÃO-ME-TOQUE</th>\n",
       "      <th>2019</th>\n",
       "      <th>Aquisicao de generos alimenticios da Agricultura Familiar e do Empreendedor Familiar Rural ou de suas organizacoes para prover as necessidades de alimentacao escolar dos alunos da Rede Municipal de Ensino, em atendimento ao Programa Nacional de Alimentacao Escolar (PNAE).</th>\n",
       "      <td>55830.10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE NOVA SANTA RITA</th>\n",
       "      <th>2017</th>\n",
       "      <th>AQUISIÇÃO DE COMPUTADORES, NOTEBOOKS, SOFTWARS E IMPRESSORAS MULTIFUNCIONAIS</th>\n",
       "      <td>55800.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE MONTE ALEGRE DOS CAMPOS</th>\n",
       "      <th>2016</th>\n",
       "      <th>Aquisição de um automóvel 4 portas, com motor mínimo 1.6, 16V, Flex, com no mínimo 115 CVS, ano de fabricação 2016.</th>\n",
       "      <td>55600.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE GRAVATAÍ</th>\n",
       "      <th>2018</th>\n",
       "      <th>Registro de Preços para futura aquisição de materiais e equipamentos de áudio,  conforme especificações e condições previstas no Edital e seus Anexos.</th>\n",
       "      <td>54499.54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CM DE CONSTANTINA</th>\n",
       "      <th>2016</th>\n",
       "      <th>Aquisição de equip. e mater. permanentes: 10-Cadeiras giratórias, cor preta, aranha estampada Rod. PU, Encosto Tela, Braço SL, injetado, estrutura cromada poliéster;  02-Longarina Execu., cor preta, Encosto em tela Base cromada–3 lugares, fixa c/braço;  22-Longarina Execu., cor preta, Encosto em tela Base cromada–4 lugares, fixa c/braço;  02-Ar Condicionado Split 22.000 BTU/s Quente/Frio 220 v, Ecoturbo-Instalado;  02-Ar Condicionado Split 12.000 BTU/s Quente/Frio 220 v, Ecoturbo-Instalado.</th>\n",
       "      <td>54463.20</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                                                                                     VL_LICITACAO_y\n",
       "NM_ORGAO                                           ANO_LICITACAO DS_OBJETO                                                         \n",
       "CM DE BOA VISTA DO INCRA                           2019          VEICULO AUTOMOTOR ZERO KM, LICENCIADO E EMPLACA...        68000.00\n",
       "CM DE PIRAPÓ                                       2018          aquisição de um veículo automotor novo na cor b...        66630.00\n",
       "CM DE SALTO DO JACUÍ                               2016          Aquisição de um veículo zero quilômetro, confor...        63000.00\n",
       "CM DE NOVA ESPERANÇA DO SUL                        2017          AQUISIÇÃO DE UM VEÍCULO, ZERO QUILÔMETRO, PARA ...        61050.00\n",
       "CM DE SÃO JERÔNIMO                                 2016          Aquisição de 01 (Um) Veículo Nacional 0 (zero) ...        60000.00\n",
       "CM DE MAÇAMBARÁ                                    2017          AQUISIÇÃO DE 01(UM) VEICULO OFICIAL PARA CÂMARA...        60000.00\n",
       "CM DE CERRO GRANDE                                 2017          COMPRA DE UM VEÍCULO SEDAM 4 PORTAS 0KM ANO/MOD...        60000.00\n",
       "CM DE CRUZ ALTA                                    2019          Tem por objeto a aquisição de 18 (dezoito) comp...        59999.94\n",
       "BANRISUL S.A. CORRETORA DE VALORES MOBILIÁRIOS ... 2019          AQUISIÇÃO DE COMPUTADORES DESKTOP.                        59900.00\n",
       "CM DE PANAMBI                                      2019          Contratação de empresa para fornecimento de equ...        59600.00\n",
       "CM DE MARCELINO RAMOS                              2017          Aquisição de equipamentos e mobiliário instalad...        59150.23\n",
       "PM DE FONTOURA XAVIER                              2019          CHAMADA PÚBLICA para fins de habilitação dos fo...        58486.10\n",
       "PM DE ANDRÉ DA ROCHA                               2018          confecção de uniformes escolares                          58140.00\n",
       "CIA. MUNICIPAL DE URBANISMO - NOVO HAMBURGO        2019          Registro de Preços visando a AQUISIÇÃO DE MATER...        57422.30\n",
       "PM DE TRÊS PASSOS                                  2019          O objeto do presente Chamamento Público consist...        56524.52\n",
       "PM DE NÃO-ME-TOQUE                                 2019          Aquisicao de generos alimenticios da Agricultur...        55830.10\n",
       "CM DE NOVA SANTA RITA                              2017          AQUISIÇÃO DE COMPUTADORES, NOTEBOOKS, SOFTWARS ...        55800.71\n",
       "CM DE MONTE ALEGRE DOS CAMPOS                      2016          Aquisição de um automóvel 4 portas, com motor m...        55600.00\n",
       "CM DE GRAVATAÍ                                     2018          Registro de Preços para futura aquisição de mat...        54499.54\n",
       "CM DE CONSTANTINA                                  2016          Aquisição de equip. e mater. permanentes: 10-Ca...        54463.20"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# gpby_modalidade_com.drop(columns = ['NR_LICITACAO'], inplace = True)\n",
    "gpby_modalidade_com_max = subset_licitacoes_com.groupby(['NM_ORGAO', 'CD_TIPO_MODALIDADE']).max()\n",
    "gpby_modalidade_com_max.head()\n",
    "sum_by_value = subset_licitacoes_com.groupby(['NM_ORGAO', 'ANO_LICITACAO']).sum()\n",
    "\n",
    "# Merge nas bases com somatoria e valores maximos encontrados + limpeza dos dados\n",
    "merged = gpby_modalidade_com_max.merge(sum_by_value, left_on = ['NM_ORGAO', 'ANO_LICITACAO'], right_on = ['NM_ORGAO', 'ANO_LICITACAO'])\n",
    "merged = merged.loc[merged['VL_LICITACAO_x'] == merged['VL_LICITACAO_y']][['ANO_LICITACAO', 'DS_OBJETO', 'VL_LICITACAO_y']]\n",
    "merged['CD_TIPO_MODALIDADE'] = subset_licitacoes_com.groupby(['NM_ORGAO']).max()['DS_OBJETO']\n",
    "merged = merged.groupby(['NM_ORGAO', 'ANO_LICITACAO', 'DS_OBJETO']).sum()\n",
    "merged.sort_values(by = ['VL_LICITACAO_y', 'NM_ORGAO'], ascending = False, inplace = True)\n",
    "merged.head(20)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fim"
   ]
  }
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