Reservas_Internacionais_Brasil.ipynb

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      "cell_type": "code",
      "execution_count": 90,
      "metadata": {
        "id": "wmhTmlxt8_gH"
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      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import seaborn as sns; sns.set()\n",
        "import matplotlib.pyplot as plt\n",
        "import matplotlib\n",
        "import matplotlib.ticker as ticker\n",
        "from matplotlib import pyplot as plt, dates\n",
        "import matplotlib.dates as mdates\n",
        "from matplotlib.rcsetup import validate_any"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tarefa 1: Identificação de Dados**\n",
        "\n",
        "Fonte de dados utilizada Para esta análise:\n",
        "\n",
        "[Portal Brasileiro de Dados Abertos do Banco Central](https://www3.bcb.gov.br/sgspub/localizarseries/localizarSeries.do?method=prepararTelaLocalizarSeries)\n",
        "\n",
        "[Sobre o Portal do Banco Central](https://dadosabertos.bcb.gov.br/pages/sobre-o-portal)\n",
        "\n",
        "Séries de dados utilizadas: \n",
        "* Reservas internacionais - Total - diária = (13621) - Fonte BCB-DSTAT\n",
        "\n",
        "Premissas:\n",
        "\n",
        "Geridas pelo Banco Central, as “reservas internacionais” são os ativos em moedas estrangeiras que servem basicamente como um “seguro” da economia do país para fazer frente às suas obrigações no exterior e a choques externos, como uma desvalorização mais forte da moeda local.\n",
        "\n",
        "Composição da reserva:\n",
        "\n",
        "dólar norte-americano: 80,34%\n",
        "euro: 5,04%\n",
        "renminbi (China): 4,99%\n",
        "libra esterlina (Reino Unido): 3,47%\n",
        "ouro: 2,25%\n",
        "iene (Japão): 1,93%\n",
        "dólar canadense (Canadá): 1,01%\n",
        "dólar australiano (Austrália): 0,97%\n",
        "\n",
        "Investimentos da reserva:\n",
        "\n",
        "títulos governamentais: 89,26%\n",
        "depósitos em bancos centrais e em sistemas supranacionais: 3,61%\n",
        "títulos de agências: 1,64%\n",
        "ETFs de índices de ações: 1,13%\n",
        "títulos de sistemas supranacionais: 0,63%\n",
        "depósitos em bancos comerciais: 0,47%\n",
        "ETFs de Corporates Investment Grade: 0,44%\n",
        "ouro: 2,25%\n",
        "outras classes, como títulos de governos locais: 0,58%"
      ],
      "metadata": {
        "id": "rPrR5pRow-Op"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tarefa 2: Coleta de Dados**\n",
        "\n",
        "Definindo Constantes\n",
        "\n",
        "Como a API usa códigos, criamos um mapeamento entre os códigos e nomes significativos para usar ao analisar e armazenar os dados."
      ],
      "metadata": {
        "id": "PUrojK6gNfkd"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Buscar dados por meio de chamadas de API**\n",
        "\n",
        "As funções a seguir foram escritas para fazer uma chamada de API por recurso e buscar os dados. Cada uma dessas funções executa as seguintes tarefas:\n",
        "\n",
        "*consulta_bc( )*: Função que realizará a consulta via API do BANCO CENTRAL DO BRASIL.\n",
        "\n",
        "*grafico_periodo_suavizado( )*: Função que plota os gráficos referentes aos governos específicados por df, inicio, fim (governos) suavizando dados diários em médias quinzenal."
      ],
      "metadata": {
        "id": "ppzeAXDwhxam"
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    },
    {
      "cell_type": "code",
      "source": [
        "def consulta_bc(codigo_bcb):\n",
        "  url = 'http://api.bcb.gov.br/dados/serie/bcdata.sgs.{}/dados?formato=json'.format(codigo_bcb)\n",
        "  df = pd.read_json(url)\n",
        "  df['data'] = pd.to_datetime(df['data'], dayfirst=True)\n",
        "  df.set_index('data', inplace=True)\n",
        "  return df\n",
        "\n",
        "def grafico_periodo_suavizado(df, inicio, fim):\n",
        "  periodo = df[(df.index >= inicio) & (df.index <= fim)]  \n",
        "  periodo['reserva'].resample(\"15d\", label=\"right\").mean().plot()"
      ],
      "metadata": {
        "id": "JQpwAMaa_OfM"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Definição dos datasets e chamada das consultas através dos códigos BCB, que retornará os Datasets específicados"
      ],
      "metadata": {
        "id": "pMSi3OfrkoJH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Definição dos códigos BCB, que retorna um Dataset específico\n",
        "reservas_internacionais = consulta_bc(13621)"
      ],
      "metadata": {
        "id": "c3Qk8bzx_XJ7"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tarefa 3: Pré-processamento de dados**\n",
        "\n",
        "Os dados acima foram coletados e atribuídos a datasets individuais por meio de várias chamadas de API.\n",
        "\n",
        "Definição dos Dataframes (Total, média anual, mínimo do ano, máximo do ano, cópia do dataset para analise por governos)"
      ],
      "metadata": {
        "id": "29CbKuc5iMyN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Definição dos códigos BCB e Consulta dos datasets\n",
        "data_inicio = '1999-01-01'"
      ],
      "metadata": {
        "id": "4d9fqRGz_VQ4"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "reservas_int = reservas_internacionais[reservas_internacionais.index >= data_inicio]\n",
        "reservas_int_ano_media = reservas_int.groupby(pd.PeriodIndex(reservas_int.index, freq=\"Y\")).mean()\n",
        "reservas_int_ano_mediana = reservas_int.groupby(pd.PeriodIndex(reservas_int.index, freq=\"Y\")).median()\n",
        "reservas_int_ano_min = reservas_int.groupby(pd.PeriodIndex(reservas_int.index, freq=\"Y\")).min()\n",
        "reservas_int_ano_max = reservas_int.groupby(pd.PeriodIndex(reservas_int.index, freq=\"Y\")).max()\n",
        "\n",
        "reservas_governo = reservas_internacionais\n",
        "reservas_governo.columns =['reserva']"
      ],
      "metadata": {
        "id": "ul9SOUiBCyDh"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Alteração de tipos**\n",
        "\n",
        "Podemos observar que a coluna 'Data' é um valor numérico, mas os novos dados são anuais.\n",
        "\n",
        "Convertendo os valores para INT e os indexes para String\n",
        "\n",
        "Retornamos o dataframes atualizados convertidos para que os valores sejam representados corretamente."
      ],
      "metadata": {
        "id": "I_XA8FsqjiV_"
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    },
    {
      "cell_type": "code",
      "source": [
        "reservas_int_ano_media = reservas_int_ano_media.astype(int)\n",
        "reservas_int_ano_media.index = reservas_int_ano_media.index.map(str)\n",
        "\n",
        "reservas_int_ano_mediana = reservas_int_ano_mediana.astype(int)\n",
        "reservas_int_ano_mediana.index = reservas_int_ano_mediana.index.map(str)\n",
        "\n",
        "reservas_int_ano_min = reservas_int_ano_min.astype(int)\n",
        "reservas_int_ano_min.index = reservas_int_ano_min.index.map(str)\n",
        "\n",
        "reservas_int_ano_max = reservas_int_ano_max.astype(int)\n",
        "reservas_int_ano_max.index = reservas_int_ano_max.index.map(str)"
      ],
      "metadata": {
        "id": "qey0xnS5SdFb"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Alteração de tipos**\n",
        "\n",
        "Podemos observar que a coluna 'Data' é um valor numérico, e os valores são separados por \" , \" e não \" . \".\n",
        "\n",
        "Convertemos os formatos para datetime e float \n",
        "\n",
        "Conversão dos valores para BI US$.\n",
        "\n",
        "Retornamos o dataframes atualizados convertidos para que os valores sejam representados corretamente."
      ],
      "metadata": {
        "id": "4B0tby0xy2p0"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "reservas_governo.index = pd.to_datetime(reservas_governo.index, format='%d%m%Y')\n",
        "reservas_governo = reservas_governo.replace(',','.', regex=True).astype(float)\n",
        "reservas_governo = reservas_governo/1000"
      ],
      "metadata": {
        "id": "KVjmyNhfQ5NC"
      },
      "execution_count": 8,
      "outputs": []
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              "            reserva\n",
              "data               \n",
              "1998-09-01   65.969\n",
              "1998-09-02   63.083\n",
              "1998-09-03   61.984\n",
              "1998-09-04   60.702\n",
              "1998-09-08   59.449\n",
              "...             ...\n",
              "2022-12-27  327.065\n",
              "2022-12-28  326.351\n",
              "2022-12-29  324.792\n",
              "2022-12-30  324.703\n",
              "2023-01-02  324.929\n",
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    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tarefa 5: Criação de um Dataframe com a Evolução das Reservas por governo**\n",
        "\n",
        "Definir um dataframe com os dados:\n",
        "\n",
        "* Presidente\n",
        "* Início Gov\n",
        "* Fim Gov\n",
        "* Reserva Início Gov Bi USD\n",
        "* Reserva Fim Gov Bi USD\n",
        "* Evolução Real\n",
        "* Evolução %"
      ],
      "metadata": {
        "id": "Dsjh5PL61NbP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Definição de periodos governamentais\n",
        "Presidente = ['2º Fernando Henrique Cardoso', '1º Luiz Inácio Lula da Silva', '2º Luiz Inácio Lula da Silva', '1º Dilma Rousseff', '2º Dilma Rousseff/Michel Temer', '1º Jair Bolsonaro']\n",
        "inicio_gov = ['1998-09-01', '2003-01-02', '2007-01-02', '2011-01-03', '2015-01-02', '2019-01-02']\n",
        "fim_gov = ['2002-12-31', '2006-12-29', '2010-12-31', '2014-12-31', '2018-12-31', '2022-12-30']"
      ],
      "metadata": {
        "id": "N9Heuubk-tLT"
      },
      "execution_count": 53,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Definindo os valores de Reserva nos inicios de governo\n",
        "reserva_inicio_gov = reservas_internacionais.loc[reservas_internacionais.index.isin(inicio_gov)]\n",
        "reserva_inicio_gov = reserva_inicio_gov.dropna(axis=0)\n",
        "reserva_inicio_gov = list(reserva_inicio_gov.itertuples(index=False, name=None))\n",
        "reserva_inicio_gov = [\"%.0f\" % elem for elem in reserva_inicio_gov]\n",
        "reserva_inicio_gov\n",
        "new_reserva_inicio_gov = []\n",
        "for elem in reserva_inicio_gov:\n",
        "    new_reserva_inicio_gov.append(float(elem[:-1])/100)\n",
        "print(new_reserva_inicio_gov)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "z6csLxa7-t9L",
        "outputId": "93c7ca1e-b2e8-4215-80c6-c567db106d91"
      },
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[65.96, 37.65, 86.43, 289.09, 362.91, 374.72]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Definindo os valores de Reserva nos fins de governo\n",
        "reserva_fim_gov = reservas_internacionais.loc[reservas_internacionais.index.isin(fim_gov)]\n",
        "reserva_fim_gov = reserva_fim_gov.dropna(axis=0)\n",
        "reserva_fim_gov = list(reserva_fim_gov.itertuples(index=False, name=None))\n",
        "reserva_fim_gov = [\"%.0f\" % elem for elem in reserva_fim_gov]\n",
        "new_reserva_fim_gov = []\n",
        "for elem in reserva_fim_gov:\n",
        "    new_reserva_fim_gov.append(float(elem[:-1])/100)\n",
        "print(new_reserva_fim_gov)"
      ],
      "metadata": {
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        },
        "id": "62gRkOj7-1Y-",
        "outputId": "81c3907c-0c51-4c5f-e2bf-50e98b9ba55f"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[37.82, 85.83, 288.57, 363.55, 374.71, 324.7]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Evolução Real das Reservas em Bilhões US$\n",
        "array1 = np.array(reservas_internacionais.loc[reservas_internacionais.index.isin(fim_gov)])\n",
        "array2 = np.array(reservas_internacionais.loc[reservas_internacionais.index.isin(inicio_gov)])\n",
        "subtracted_array = np.subtract(array1, array2)\n",
        "subtracted_array = [\"%.0f\" % elem for elem in subtracted_array]\n",
        "reserva_evol_real = list(subtracted_array)\n",
        "new_reserva_evol_real = []\n",
        "for elem in reserva_evol_real:\n",
        "    new_reserva_evol_real.append(float(elem[:-1])/100)\n",
        "print(new_reserva_evol_real)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "X657XnKf-3lR",
        "outputId": "cbbcf214-c03b-4a11-cdb3-40ee54d59143"
      },
      "execution_count": 56,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[-28.14, 48.18, 202.13, 74.46, 11.8, -50.01]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Evolução percentual das Reservas\n",
        "reserva_evol_perc = ((array1 / array2)-1)*100\n",
        "reserva_evol_perc = [\"%.2f\" % elem for elem in reserva_evol_perc]\n",
        "new_reserva_evol_perc = []\n",
        "for elem in reserva_evol_perc:\n",
        "    new_reserva_evol_perc.append(float(elem))\n",
        "print(new_reserva_evol_perc)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4mFtNRuP-6JF",
        "outputId": "af2cfa02-d8db-449f-dc8f-6c029056041d"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[-42.67, 127.98, 233.85, 25.76, 3.25, -13.35]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Min das Reservas\n",
        "min_fhc = reservas_int.loc['1998-09-01':'2002-12-31'].min()\n",
        "min_lula = reservas_int.loc['2003-01-02':'2006-12-29'].min()\n",
        "min_lula2 = reservas_int.loc['2007-01-02':'2010-12-31'].min()\n",
        "min_dilma = reservas_int.loc['2011-01-03':'2014-12-31'].min()\n",
        "min_dilma2 = reservas_int.loc['2015-01-02':'2018-12-31'].min()\n",
        "min_bolsonaro = reservas_int.loc['2019-01-02':'2023-01-01'].min()"
      ],
      "metadata": {
        "id": "UJdRB-dFKjeY"
      },
      "execution_count": 65,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#max das Reservas\n",
        "max_fhc = reservas_int.loc['1998-09-01':'2002-12-31'].max()\n",
        "max_lula = reservas_int.loc['2003-01-02':'2006-12-29'].max()\n",
        "max_lula2 = reservas_int.loc['2007-01-02':'2010-12-31'].max()\n",
        "max_dilma = reservas_int.loc['2011-01-03':'2014-12-31'].max()\n",
        "max_dilma2 = reservas_int.loc['2015-01-02':'2018-12-31'].max()\n",
        "max_bolsonaro = reservas_int.loc['2019-01-02':'2023-01-01'].max()"
      ],
      "metadata": {
        "id": "VOGQn1vXD1Z4"
      },
      "execution_count": 66,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "min = [min_fhc,min_lula,min_lula2,min_dilma,min_dilma2,min_bolsonaro]\n",
        "min = [\"%.2f\" % elem for elem in min]\n",
        "new_min = []\n",
        "for elem in min:\n",
        "    new_min.append(float(elem[:-1])/1000)\n",
        "print(new_min)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "65dgmuUBCBa2",
        "outputId": "5051f225-d0f7-434b-80a9-a72922b66cc9"
      },
      "execution_count": 67,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[27.516, 37.652, 86.428, 288.631, 356.094, 323.49]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "max = [max_fhc,max_lula,max_lula2,max_dilma,max_dilma2,max_bolsonaro]\n",
        "max = [\"%.2f\" % elem for elem in max]\n",
        "new_max = []\n",
        "for elem in max:\n",
        "    new_max.append(float(elem[:-1])/1000)\n",
        "print(new_max)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bYzM_o9xD37o",
        "outputId": "150320dc-6ca0-4f5b-eee4-80eb104b595b"
      },
      "execution_count": 68,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[44.819, 85.839, 288.575, 379.82, 383.662, 390.51]\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Criação do dataframe com os dados por governo\n",
        "governos = list(zip(Presidente,inicio_gov,fim_gov,new_reserva_inicio_gov,new_reserva_fim_gov,new_reserva_evol_real,new_reserva_evol_perc,new_min,new_max))\n",
        "governos\n",
        "gov = pd.DataFrame(governos, columns=['Presidente','Início Gov','Fim Gov','Reserva Início Gov Bi (US$)','Reserva Fim Gov Bi (US$)','Evolução Real','Evolução %','Reserva Mín','Reserva Máx'])\n",
        "gov"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 238
        },
        "id": "d5oBTh4o-8QU",
        "outputId": "03bf35bb-6f85-4c0a-828a-7b9410f171c4"
      },
      "execution_count": 69,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                       Presidente  Início Gov     Fim Gov  \\\n",
              "0    2º Fernando Henrique Cardoso  1998-09-01  2002-12-31   \n",
              "1    1º Luiz Inácio Lula da Silva  2003-01-02  2006-12-29   \n",
              "2    2º Luiz Inácio Lula da Silva  2007-01-02  2010-12-31   \n",
              "3               1º Dilma Rousseff  2011-01-03  2014-12-31   \n",
              "4  2º Dilma Rousseff/Michel Temer  2015-01-02  2018-12-31   \n",
              "5               1º Jair Bolsonaro  2019-01-02  2022-12-30   \n",
              "\n",
              "   Reserva Início Gov Bi (US$)  Reserva Fim Gov Bi (US$)  Evolução Real  \\\n",
              "0                        65.96                     37.82         -28.14   \n",
              "1                        37.65                     85.83          48.18   \n",
              "2                        86.43                    288.57         202.13   \n",
              "3                       289.09                    363.55          74.46   \n",
              "4                       362.91                    374.71          11.80   \n",
              "5                       374.72                    324.70         -50.01   \n",
              "\n",
              "   Evolução %  Reserva Mín  Reserva Máx  \n",
              "0      -42.67       27.516       44.819  \n",
              "1      127.98       37.652       85.839  \n",
              "2      233.85       86.428      288.575  \n",
              "3       25.76      288.631      379.820  \n",
              "4        3.25      356.094      383.662  \n",
              "5      -13.35      323.490      390.510  "
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Presidente</th>\n",
              "      <th>Início Gov</th>\n",
              "      <th>Fim Gov</th>\n",
              "      <th>Reserva Início Gov Bi (US$)</th>\n",
              "      <th>Reserva Fim Gov Bi (US$)</th>\n",
              "      <th>Evolução Real</th>\n",
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              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>2º Fernando Henrique Cardoso</td>\n",
              "      <td>1998-09-01</td>\n",
              "      <td>2002-12-31</td>\n",
              "      <td>65.96</td>\n",
              "      <td>37.82</td>\n",
              "      <td>-28.14</td>\n",
              "      <td>-42.67</td>\n",
              "      <td>27.516</td>\n",
              "      <td>44.819</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>1º Luiz Inácio Lula da Silva</td>\n",
              "      <td>2003-01-02</td>\n",
              "      <td>2006-12-29</td>\n",
              "      <td>37.65</td>\n",
              "      <td>85.83</td>\n",
              "      <td>48.18</td>\n",
              "      <td>127.98</td>\n",
              "      <td>37.652</td>\n",
              "      <td>85.839</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>2º Luiz Inácio Lula da Silva</td>\n",
              "      <td>2007-01-02</td>\n",
              "      <td>2010-12-31</td>\n",
              "      <td>86.43</td>\n",
              "      <td>288.57</td>\n",
              "      <td>202.13</td>\n",
              "      <td>233.85</td>\n",
              "      <td>86.428</td>\n",
              "      <td>288.575</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>1º Dilma Rousseff</td>\n",
              "      <td>2011-01-03</td>\n",
              "      <td>2014-12-31</td>\n",
              "      <td>289.09</td>\n",
              "      <td>363.55</td>\n",
              "      <td>74.46</td>\n",
              "      <td>25.76</td>\n",
              "      <td>288.631</td>\n",
              "      <td>379.820</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>2º Dilma Rousseff/Michel Temer</td>\n",
              "      <td>2015-01-02</td>\n",
              "      <td>2018-12-31</td>\n",
              "      <td>362.91</td>\n",
              "      <td>374.71</td>\n",
              "      <td>11.80</td>\n",
              "      <td>3.25</td>\n",
              "      <td>356.094</td>\n",
              "      <td>383.662</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>1º Jair Bolsonaro</td>\n",
              "      <td>2019-01-02</td>\n",
              "      <td>2022-12-30</td>\n",
              "      <td>374.72</td>\n",
              "      <td>324.70</td>\n",
              "      <td>-50.01</td>\n",
              "      <td>-13.35</td>\n",
              "      <td>323.490</td>\n",
              "      <td>390.510</td>\n",
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          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "gov.info()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "b5SueFfF6GIo",
        "outputId": "a9398545-e706-43b3-b1a0-f0ece9d458ee"
      },
      "execution_count": 70,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 6 entries, 0 to 5\n",
            "Data columns (total 9 columns):\n",
            " #   Column                       Non-Null Count  Dtype  \n",
            "---  ------                       --------------  -----  \n",
            " 0   Presidente                   6 non-null      object \n",
            " 1   Início Gov                   6 non-null      object \n",
            " 2   Fim Gov                      6 non-null      object \n",
            " 3   Reserva Início Gov Bi (US$)  6 non-null      float64\n",
            " 4   Reserva Fim Gov Bi (US$)     6 non-null      float64\n",
            " 5   Evolução Real                6 non-null      float64\n",
            " 6   Evolução %                   6 non-null      float64\n",
            " 7   Reserva Mín                  6 non-null      float64\n",
            " 8   Reserva Máx                  6 non-null      float64\n",
            "dtypes: float64(6), object(3)\n",
            "memory usage: 560.0+ bytes\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Tarefa 4: Análise e representação dos conjuntos de dados processados**\n",
        "\n",
        "Como temos todos os conjuntos de dados pré-processados, podemos criar visualizações a partir deles para identificar padrões. \n",
        "Usei as bibliotecas matplotlib e seaborn para analisar os dados."
      ],
      "metadata": {
        "id": "pOmP2N6xmNW3"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analisando a Evolução das Reservas Internacionais Brasileiras Por Presidente da República**\n",
        "\n",
        "Plotamos os datasets *reservas_governo* atribuídos na chamada da função *grafico_periodo_gov( )* junto aos períodos governamentais."
      ],
      "metadata": {
        "id": "p-DvXPJ3z3AY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.rcParams['figure.figsize'] = (18,7)\n",
        "plt.title('Evolução do das Reservas Internacionais - Governos Destacados - Suavizado - Quinzenal (Bi US$)', fontsize=15)\n",
        "grafico_periodo_suavizado(reservas_governo, '1999-01-01', '2002-12-31')\n",
        "grafico_periodo_suavizado(reservas_governo, '2003-01-01', '2006-12-31')\n",
        "grafico_periodo_suavizado(reservas_governo, '2007-01-01', '2010-12-31')\n",
        "grafico_periodo_suavizado(reservas_governo, '2011-01-01', '2014-12-31')\n",
        "grafico_periodo_suavizado(reservas_governo, '2015-01-01', '2018-12-31')\n",
        "grafico_periodo_suavizado(reservas_governo, '2019-01-01', '2023-01-01')\n",
        "grafico_periodo_suavizado(reservas_governo, '2023-01-01', '2027-01-01')\n",
        "plt.legend(['2º Gov - Fernando Henrique Cardoso (PSDB)',\n",
        "            '1º Gov - Luiz Inácio Lula da Silva (PT)',\n",
        "            '2º Gov - Luiz Inácio Lula da Silva (PT)',\n",
        "            '1º Gov - Dilma Rousseff (PT)',\n",
        "            '2º Gov - Dilma Rousseff (PT) / Michel Temer (MDB)',\n",
        "            '1º Gov - Jair Bolsonaro (PSL/PL)',\n",
        "            '3º Gov - Luiz Inácio Lula da Silva (PT)'])\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "OUjNWrv-RBKA",
        "outputId": "b18c9fb2-d667-4e1f-92c9-1b823d25df7c"
      },
      "execution_count": 118,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x504 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analisando a Evolução da Dívida Externa Bruta Brasileira (Média, Mínimo, Máximo)**\n",
        "\n",
        "Plotamos os datasets *reservas_int_ano_media, reservas_int_ano_max,  reservas_int_ano_min*.\n"
      ],
      "metadata": {
        "id": "kQ1pA9aPoVM4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "matplotlib.rcParams['figure.figsize'] = (18,7)\n",
        "fig, (ax1) = plt.subplots(1, sharex=False)\n",
        "#Títulos do gráfico\n",
        "plt.text(x=0.5, y=0.95, s= \"Evolução das Reservas Internacionais Brasileiras - Volume Anual\", fontsize=15, ha=\"center\", transform=fig.transFigure)\n",
        "plt.text(x=0.5, y=0.90, s= \"Fonte de Dados - BCB-DSTAT\", fontsize=11, ha=\"center\", transform=fig.transFigure)\n",
        "#Plotagem das Séries\n",
        "ax1.plot(reservas_int_ano_media, color='#076FA1', marker='.')\n",
        "ax1.plot(reservas_int_ano_max, color='#006400', marker='^', linestyle='--', linewidth=1.0)\n",
        "ax1.plot(reservas_int_ano_min, color='#E3120B', marker='v', linestyle='--', linewidth=1.0)\n",
        "#Legenda dos Rótulos\n",
        "ax1.legend(['Média','Máxima','Mínima'])\n",
        "#Escalando os valores e transformando os eixos y em BI US$\n",
        "scale_y = 1e3\n",
        "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g} Bi US$'.format(x/scale_y))\n",
        "ax1.yaxis.set_major_formatter(ticks_y)\n",
        "\n",
        "fig.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 509
        },
        "id": "-OtTUDiAR4kM",
        "outputId": "ffae6162-e65d-4230-fdd0-62a3d60105f6"
      },
      "execution_count": 121,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1296x504 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analisando a Evolução da Dívida Externa Bruta Brasileira Por Presidente (Bi USD)**\n",
        "\n",
        "Plotamos os dados de *evolução real* dos periodos governamentais\n"
      ],
      "metadata": {
        "id": "zMK-z4bp2sHy"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.arange(len(Presidente)) # the label locations\n",
        "width = 0.30 # the width of the bars\n",
        "matplotlib.rcParams['figure.figsize'] = (17,6)\n",
        "fig, ax = plt.subplots()\n",
        "#Títulos do gráfico\n",
        "plt.text(x=0.5, y=0.95, s= \"Evolução das Reservas Internacionais Brasileiras\", fontsize=15, ha=\"center\", transform=fig.transFigure)\n",
        "plt.text(x=0.5, y=0.90, s= \"Fonte de Dados - BCB-DSTAT\", fontsize=11, ha=\"center\", transform=fig.transFigure)\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(Presidente)\n",
        "#Definição de cores caso positivo ou negativo\n",
        "color = ['lightcoral' if y<0 else 'g' for y in new_reserva_evol_real]\n",
        "#Plor criando as anotações dos valores de rótulos\n",
        "pps = ax.bar(x - width/2, new_reserva_evol_real, width, label='Evolução Reservas (US$ Bi)', color=color)\n",
        "for p in pps:\n",
        "   height = p.get_height()\n",
        "   ax.annotate('{}'.format(height),\n",
        "      xy=(p.get_x() + p.get_width() / 2, height),\n",
        "      xytext=(0, 3), # 3 points vertical offset\n",
        "      textcoords=\"offset points\",\n",
        "      ha='center', va='bottom', fontsize=10, weight=\"bold\")\n",
        "\n",
        "#Escalando os valores e transformando os eixos y em BI US$\n",
        "scale_y = 1\n",
        "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g} US$ Bi'.format(x/scale_y))\n",
        "ax.yaxis.set_major_formatter(ticks_y)\n",
        "#Imprimindo uma linha em y=0.0\n",
        "plt.axhline(y=0.0, color='grey', linewidth=1.0, linestyle='--')\n",
        "ax.set_xlabel('Governos',fontsize=(14))\n",
        "\n",
        "fig.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 440
        },
        "id": "4bhP1D5pWRQ_",
        "outputId": "29be9c85-d9e0-4130-9ac5-8ddcaaa56c29"
      },
      "execution_count": 124,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**Analisando a Evolução da Dívida Externa Bruta Brasileira Por Presidente (%)**\n",
        "\n",
        "Plotamos os dados de *evolução percentual* dos periodos governamentais\n"
      ],
      "metadata": {
        "id": "4W4K59e93RTZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.arange(len(Presidente)) # the label locations\n",
        "width = 0.30 # the width of the bars\n",
        "matplotlib.rcParams['figure.figsize'] = (17,6)\n",
        "fig, ax = plt.subplots()\n",
        "#Títulos do gráfico\n",
        "plt.text(x=0.5, y=0.95, s= \"Evolução das Reservas Internacionais Brasileiras (%)\", fontsize=15, ha=\"center\", transform=fig.transFigure)\n",
        "plt.text(x=0.5, y=0.90, s= \"Fonte de Dados - BCB-DSTAT\", fontsize=11, ha=\"center\", transform=fig.transFigure)\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(Presidente)\n",
        "#Definição de cores caso positivo ou negativo\n",
        "color = ['lightcoral' if y<0 else 'g' for y in new_reserva_evol_perc]\n",
        "#Plor criando as anotações dos valores de rótulos\n",
        "pps = ax.bar(x - width/2, new_reserva_evol_perc, width, label='Evolução %', color=color)\n",
        "for p in pps:\n",
        "   height = p.get_height()\n",
        "   ax.annotate('{}%'.format(height),\n",
        "      xy=(p.get_x() + p.get_width() / 2, height),\n",
        "      xytext=(0, 3), # 3 points vertical offset\n",
        "      textcoords=\"offset points\",\n",
        "      ha='center', va='bottom', fontsize=10, weight=\"bold\")   \n",
        "\n",
        "#Escalando os valores e transformando os eixos y em BI US$\n",
        "scale_y = 1\n",
        "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}%'.format(x/scale_y))\n",
        "ax.yaxis.set_major_formatter(ticks_y)\n",
        "\n",
        "#Imprimindo uma linha em y=0.0\n",
        "plt.axhline(y=0.0, color='grey', linewidth=1.0, linestyle='--')\n",
        "ax.set_xlabel('Governos',fontsize=(14))\n",
        "fig.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 440
        },
        "id": "oGZXGRLpHp8f",
        "outputId": "223f4ef3-cd0d-4ac1-e786-eb6de503ae49"
      },
      "execution_count": 127,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.arange(len(gov))  # the label locations\n",
        "largura = 0.25  # the width of the bars\n",
        "\n",
        "fig, ax = plt.subplots(figsize=(17,6), sharey=True)\n",
        "\n",
        "min = ax.bar(x + largura/2, gov['Reserva Mín'], largura, label='Mínima', color='lightcoral')\n",
        "for p in min:\n",
        "   height = p.get_height()\n",
        "   ax.annotate('{}'.format(height),\n",
        "      xy=(p.get_x() + p.get_width() / 2, height),\n",
        "      xytext=(0, 3), # 3 points vertical offset\n",
        "      textcoords=\"offset points\",\n",
        "      ha='center', va='bottom', fontsize=10, weight=\"bold\") \n",
        "\n",
        "max = ax.bar(x - largura/2, gov['Reserva Máx'], largura, label='Máxima', color='g')\n",
        "for p in max:\n",
        "   height = p.get_height()\n",
        "   ax.annotate('{}'.format(height),\n",
        "      xy=(p.get_x() + p.get_width() / 2, height),\n",
        "      xytext=(0, 3), # 3 points vertical offset\n",
        "      textcoords=\"offset points\",\n",
        "      ha='center', va='bottom', fontsize=10, weight=\"bold\") \n",
        "   \n",
        "# Nomeando a tabela\n",
        "plt.text(x=0.5, y=0.95, s= \"Reservas Internacionais - Máximas e Mínimas\", fontsize=16, ha=\"center\", transform=fig.transFigure)\n",
        "plt.text(x=0.5, y=0.90, s= \"Fonte de Dados - BCB-DSTAT\", fontsize=11, ha=\"center\", transform=fig.transFigure)\n",
        "ax.set_xlabel('Governos',fontsize=(14))\n",
        "\n",
        "#Escalando os valores e transformando os eixos y em BI US$\n",
        "scale_y = 1\n",
        "ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g} US$ Bi'.format(x/scale_y))\n",
        "ax.yaxis.set_major_formatter(ticks_y)\n",
        "\n",
        "ax.legend()\n",
        "ax.set_ylim([0,450])\n",
        "ax.set_xticks(x)\n",
        "ax.set_xticklabels(gov['Presidente'])\n",
        "\n",
        "fig.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 440
        },
        "id": "JfXOZUHe3kYy",
        "outputId": "1715c9da-ed57-411b-ef1e-18f291c577d9"
      },
      "execution_count": 126,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1224x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}