Pre_Processamento_FIIs.ipynb

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  "metadata": {
    "colab": {
      "name": "Pre_Processamento_FIIs.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "r89nsQakyQus",
        "Q0r7EXGQDd_F"
      ],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/TailUFPB/fundos-imobiliarios/blob/main/Pre_Processamento_FIIs.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "S6pm4VHBINdW"
      },
      "source": [
        "#**Pré-processamento dos dados**"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SBbbu3mFxm8Y"
      },
      "source": [
        "Para utilizarmos os dados de fundos imobiliários no nosso modelo e na EDA, é necessário primeiro fazer um processamento inicial neles, tornando-os aptos para serem analisados e colocados no nosso modelo:"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "-CGZA8P0RxVP"
      },
      "source": [
        "## Importando os dados"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0U_qGMrkiQ0k"
      },
      "source": [
        "#Imports\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn import preprocessing\n",
        "import matplotlib.pyplot as plt\n",
        "import missingno\n",
        "import seaborn as sns"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rDVRv7FJjCmS"
      },
      "source": [
        "#Recebendo o CSV dos fundos\n",
        "\n",
        "url = 'https://raw.githubusercontent.com/TailUFPB/fundos-imobiliarios/main/CSV_inicial.csv'\n",
        "data = pd.read_csv(url)\n",
        "df_fiis = pd.DataFrame(data)\n",
        "#Retirando colunas com dados redundantes ou com uma quantidade muito grande de dados faltantes\n",
        "df_fiis.drop(['Unnamed: 0', 'DY (3M)Acumulado', 'DY (6M)Acumulado', 'DY (12M)Acumulado','DYPatrimonial', 'VariaçãoPatrimonial', 'Rentab. Patr.Acumulada', 'Rentab. Patr.no Período', 'VacânciaFinanceira'], axis='columns', inplace=True)"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Gdds-P7KyLCZ"
      },
      "source": [
        "Estado inicial dos dados:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "id": "amufGEisjM8X",
        "outputId": "866ab446-c12a-4414-9076-fa1d4202aa19"
      },
      "source": [
        "df_fiis"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Códigodo fundo</th>\n",
              "      <th>Setor</th>\n",
              "      <th>Preço Atual</th>\n",
              "      <th>Liquidez Diária</th>\n",
              "      <th>Dividendo</th>\n",
              "      <th>DividendYield</th>\n",
              "      <th>DY (3M)Média</th>\n",
              "      <th>DY (6M)Média</th>\n",
              "      <th>DY (12M)Média</th>\n",
              "      <th>DY Ano</th>\n",
              "      <th>Variação Preço</th>\n",
              "      <th>Rentab.Período</th>\n",
              "      <th>Rentab.Acumulada</th>\n",
              "      <th>PatrimônioLíq.</th>\n",
              "      <th>VPA</th>\n",
              "      <th>P/VPA</th>\n",
              "      <th>VacânciaFísica</th>\n",
              "      <th>QuantidadeAtivos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABCP11</td>\n",
              "      <td>Shoppings</td>\n",
              "      <td>R$ 70,84</td>\n",
              "      <td>959.0</td>\n",
              "      <td>R$ 0,05</td>\n",
              "      <td>0,06%</td>\n",
              "      <td>0,43%</td>\n",
              "      <td>0,45%</td>\n",
              "      <td>0,33%</td>\n",
              "      <td>1,30%</td>\n",
              "      <td>1,82%</td>\n",
              "      <td>1,88%</td>\n",
              "      <td>1,90%</td>\n",
              "      <td>R$ 1.078.043.159,45</td>\n",
              "      <td>R$ 88,34</td>\n",
              "      <td>80.0</td>\n",
              "      <td>9,10%</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AFCR11</td>\n",
              "      <td>Híbrido</td>\n",
              "      <td>R$ 110,30</td>\n",
              "      <td>1536.0</td>\n",
              "      <td>R$ 1,08</td>\n",
              "      <td>0,96%</td>\n",
              "      <td>0,94%</td>\n",
              "      <td>0,90%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>4,54%</td>\n",
              "      <td>-3,03%</td>\n",
              "      <td>-2,10%</td>\n",
              "      <td>1,90%</td>\n",
              "      <td>R$ 123.444.882,79</td>\n",
              "      <td>R$ 103,97</td>\n",
              "      <td>106.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>AFOF11</td>\n",
              "      <td>Títulos e Val. Mob.</td>\n",
              "      <td>R$ 140,00</td>\n",
              "      <td>61.0</td>\n",
              "      <td>R$ 8,76</td>\n",
              "      <td>8,76%</td>\n",
              "      <td>2,92%</td>\n",
              "      <td>1,46%</td>\n",
              "      <td>1,40%</td>\n",
              "      <td>16,82%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>8,76%</td>\n",
              "      <td>17,52%</td>\n",
              "      <td>R$ 39.463.995,21</td>\n",
              "      <td>R$ 107,50</td>\n",
              "      <td>130.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AIEC11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>R$ 86,27</td>\n",
              "      <td>16775.0</td>\n",
              "      <td>R$ 0,57</td>\n",
              "      <td>0,65%</td>\n",
              "      <td>0,64%</td>\n",
              "      <td>0,62%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>3,12%</td>\n",
              "      <td>-3,30%</td>\n",
              "      <td>-2,67%</td>\n",
              "      <td>-2,90%</td>\n",
              "      <td>R$ 483.603.291,35</td>\n",
              "      <td>R$ 100,23</td>\n",
              "      <td>86.0</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ALMI11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>R$ 1.160,00</td>\n",
              "      <td>54.0</td>\n",
              "      <td>R$ 0,00</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>2,27%</td>\n",
              "      <td>2,27%</td>\n",
              "      <td>-28,29%</td>\n",
              "      <td>R$ 229.423.903,28</td>\n",
              "      <td>R$ 2.063,59</td>\n",
              "      <td>56.0</td>\n",
              "      <td>68,15%</td>\n",
              "      <td>1</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",
              "      <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>233</th>\n",
              "      <td>XPML11</td>\n",
              "      <td>Shoppings</td>\n",
              "      <td>R$ 107,49</td>\n",
              "      <td>46412.0</td>\n",
              "      <td>R$ 0,30</td>\n",
              "      <td>0,29%</td>\n",
              "      <td>0,22%</td>\n",
              "      <td>0,33%</td>\n",
              "      <td>0,29%</td>\n",
              "      <td>0,98%</td>\n",
              "      <td>-4,01%</td>\n",
              "      <td>-3,73%</td>\n",
              "      <td>-6,84%</td>\n",
              "      <td>R$ 2.001.282.055,70</td>\n",
              "      <td>R$ 109,91</td>\n",
              "      <td>98.0</td>\n",
              "      <td>5,50%</td>\n",
              "      <td>13</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>234</th>\n",
              "      <td>XPPR11</td>\n",
              "      <td>Outros</td>\n",
              "      <td>R$ 62,80</td>\n",
              "      <td>32335.0</td>\n",
              "      <td>R$ 0,48</td>\n",
              "      <td>0,75%</td>\n",
              "      <td>0,72%</td>\n",
              "      <td>0,69%</td>\n",
              "      <td>0,76%</td>\n",
              "      <td>3,44%</td>\n",
              "      <td>-5,19%</td>\n",
              "      <td>-4,47%</td>\n",
              "      <td>-17,84%</td>\n",
              "      <td>R$ 638.005.453,29</td>\n",
              "      <td>R$ 87,20</td>\n",
              "      <td>72.0</td>\n",
              "      <td>39,00%</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>XPSF11</td>\n",
              "      <td>Outros</td>\n",
              "      <td>R$ 97,50</td>\n",
              "      <td>20482.0</td>\n",
              "      <td>R$ 0,87</td>\n",
              "      <td>0,89%</td>\n",
              "      <td>0,82%</td>\n",
              "      <td>0,79%</td>\n",
              "      <td>0,78%</td>\n",
              "      <td>4,01%</td>\n",
              "      <td>0,56%</td>\n",
              "      <td>1,45%</td>\n",
              "      <td>6,23%</td>\n",
              "      <td>R$ 425.281.193,51</td>\n",
              "      <td>R$ 98,21</td>\n",
              "      <td>99.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>236</th>\n",
              "      <td>XTED11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>R$ 7,13</td>\n",
              "      <td>6961.0</td>\n",
              "      <td>R$ 0,00</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>1,10%</td>\n",
              "      <td>1,10%</td>\n",
              "      <td>-37,83%</td>\n",
              "      <td>R$ 25.472.636,57</td>\n",
              "      <td>R$ 14,21</td>\n",
              "      <td>50.0</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>237</th>\n",
              "      <td>YUFI11B</td>\n",
              "      <td>Residencial</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>R$ 0,17</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>0,00%</td>\n",
              "      <td>R$ 36.552.294,27</td>\n",
              "      <td>R$ 94,97</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>238 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    Códigodo fundo                Setor  ... VacânciaFísica  QuantidadeAtivos\n",
              "0           ABCP11            Shoppings  ...          9,10%                 1\n",
              "1           AFCR11              Híbrido  ...            NaN                 0\n",
              "2           AFOF11  Títulos e Val. Mob.  ...            NaN                 0\n",
              "3           AIEC11   Lajes Corporativas  ...          0,00%                 2\n",
              "4           ALMI11   Lajes Corporativas  ...         68,15%                 1\n",
              "..             ...                  ...  ...            ...               ...\n",
              "233         XPML11            Shoppings  ...          5,50%                13\n",
              "234         XPPR11               Outros  ...         39,00%                 4\n",
              "235         XPSF11               Outros  ...            NaN                 0\n",
              "236         XTED11   Lajes Corporativas  ...          0,00%                 1\n",
              "237        YUFI11B          Residencial  ...            NaN                 0\n",
              "\n",
              "[238 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "r89nsQakyQus"
      },
      "source": [
        "## Transformando strings em valores númericos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "X2nvKjqNNRlR"
      },
      "source": [
        "A primeira etapa do pré-processamento que vamos fazer é transformar os dados que estão como string para float (Ex: R$ 0,48 para 0.48):"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7kUPHAGtqjoB"
      },
      "source": [
        "for column in df_fiis.columns:\n",
        "  new_column = []\n",
        "  for i in range(len(df_fiis)):\n",
        "    if df_fiis[column].iloc[i] != np.NaN:\n",
        "      if type(df_fiis[column].iloc[i]) == str and df_fiis[column].iloc[i][-1] == \"%\":\n",
        "        new_column.append(float(\".\".join(df_fiis[column].iloc[i].split(\",\"))[0:-1]))\n",
        "      elif type(df_fiis[column].iloc[i]) == str and df_fiis[column].iloc[i][0:2] == \"R$\":\n",
        "        new_column.append(float(df_fiis[column].iloc[i].strip('R$ ').replace('.','').replace(',','.')))\n",
        "      else:\n",
        "        new_column.append(df_fiis[column].iloc[i])\n",
        "    else:\n",
        "      new_column.append(np.NaN)\n",
        "\n",
        "  df_fiis[column] = pd.DataFrame(new_column)"
      ],
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Q0r7EXGQDd_F"
      },
      "source": [
        "## Tratamento de NaN"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "79hoLYAGNOcP"
      },
      "source": [
        "Agora, vamos tirar os valores NaN dos dados:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Cb_i9q93zZUC",
        "outputId": "c41e6c9b-2c67-485c-b480-7944a0c4fcc3"
      },
      "source": [
        "# Contando a quantidade de valores NaN em cada coluna\n",
        "df_fiis.isna().sum()"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Códigodo fundo        0\n",
              "Setor                 0\n",
              "Preço Atual          10\n",
              "Liquidez Diária      10\n",
              "Dividendo             0\n",
              "DividendYield        14\n",
              "DY (3M)Média         14\n",
              "DY (6M)Média         14\n",
              "DY (12M)Média        14\n",
              "DY Ano               25\n",
              "Variação Preço       14\n",
              "Rentab.Período       14\n",
              "Rentab.Acumulada     14\n",
              "PatrimônioLíq.        0\n",
              "VPA                   0\n",
              "P/VPA                10\n",
              "VacânciaFísica      122\n",
              "QuantidadeAtivos      0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "g5aa6zYZPm-x",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "outputId": "9e7af805-4f73-4eb7-f4aa-db056a75ce0a"
      },
      "source": [
        "missingno.matrix(df_fiis, figsize = (30,10))"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc1b1667290>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 2160x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "kFbToZMz08-o"
      },
      "source": [
        "Olhando a contagem e a matriz de dados faltantes, podemos ver que várias linhas possuem muitos dados faltantes, fazendo com que elas não possam ser usadas para a EDA e o modelo, então devemos retirá-las:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dOhjvqYPPqPq"
      },
      "source": [
        "df_fiis.dropna(thresh=11, inplace=True)"
      ],
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WYVx3FxnPqXf"
      },
      "source": [
        "df_fiis['Setor'].fillna(\"Residencial\",inplace=True)"
      ],
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vMoTzTrBPqaW"
      },
      "source": [
        "df_fiis.dropna(subset=[\"Preço Atual\"], inplace=True)"
      ],
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7a1aiNmGPqdH"
      },
      "source": [
        "df_fiis.dropna(subset=[\"DividendYield\"], inplace=True)"
      ],
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "-lZmgl7tPqfx",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "outputId": "46eb2f2e-b2f5-40a6-d356-5268ca30cb08"
      },
      "source": [
        "missingno.matrix(df_fiis, figsize = (30,10))"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc1a6651ad0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 2160x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4RX8g0mM1bj6"
      },
      "source": [
        "Agora, quase todas as linhas com dados necessários foram retiradas, sobrando apenas duas:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "MK4q_TjEPqio",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 148
        },
        "outputId": "22f25509-79c9-438e-e37c-202f19f5a2d5"
      },
      "source": [
        "df_fiis[df_fiis['DY Ano'].isnull()]"
      ],
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Códigodo fundo</th>\n",
              "      <th>Setor</th>\n",
              "      <th>Preço Atual</th>\n",
              "      <th>Liquidez Diária</th>\n",
              "      <th>Dividendo</th>\n",
              "      <th>DividendYield</th>\n",
              "      <th>DY (3M)Média</th>\n",
              "      <th>DY (6M)Média</th>\n",
              "      <th>DY (12M)Média</th>\n",
              "      <th>DY Ano</th>\n",
              "      <th>Variação Preço</th>\n",
              "      <th>Rentab.Período</th>\n",
              "      <th>Rentab.Acumulada</th>\n",
              "      <th>PatrimônioLíq.</th>\n",
              "      <th>VPA</th>\n",
              "      <th>P/VPA</th>\n",
              "      <th>VacânciaFísica</th>\n",
              "      <th>QuantidadeAtivos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>54</th>\n",
              "      <td>ERCR11</td>\n",
              "      <td>Híbrido</td>\n",
              "      <td>85227.76</td>\n",
              "      <td>10.0</td>\n",
              "      <td>1.22</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>2.226739e+08</td>\n",
              "      <td>93717.97</td>\n",
              "      <td>91.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>66</th>\n",
              "      <td>FIVN11</td>\n",
              "      <td>Shoppings</td>\n",
              "      <td>2.97</td>\n",
              "      <td>26598.0</td>\n",
              "      <td>0.00</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>NaN</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.483287e+07</td>\n",
              "      <td>6.89</td>\n",
              "      <td>43.0</td>\n",
              "      <td>56.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "   Códigodo fundo      Setor  ...  VacânciaFísica  QuantidadeAtivos\n",
              "54         ERCR11    Híbrido  ...             NaN                 0\n",
              "66         FIVN11  Shoppings  ...            56.0                 1\n",
              "\n",
              "[2 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "DPZMlO3oPqlr"
      },
      "source": [
        "df_fiis['DY Ano'].fillna(0.0,inplace=True)"
      ],
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "A2uWY5GA1pie"
      },
      "source": [
        "Olhando para elas, fica claro que seu dividendo no ano foi igual a 0, então preenchemos com esse valor"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "EGKK_OPpPqpB",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "outputId": "44626b90-be8a-432a-ed7d-635911a88a6e"
      },
      "source": [
        "missingno.matrix(df_fiis, figsize = (30,10))"
      ],
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc1a95629d0>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 2160x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "IYXXUozV24c-"
      },
      "source": [
        "Agora, a única coluna que falta a ter os valores faltantes tratados é a de vacância física, e, pela natureza de muitos fundos, eles simplesmente não possuem esse campo, então, vamos preenchê-lo com a mediana dos valores, para influenciar o menos possível na análise desse campo:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "5Xl6L3cqRLWG",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "e979d17f-b586-44c0-d850-76bd0aa248a7"
      },
      "source": [
        "df_fiis.loc[:,\"VacânciaFísica\"].median()"
      ],
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "5.495"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "OnbfsStERLYu"
      },
      "source": [
        "filler = 5.4\n",
        "df_fiis.loc[df_fiis.VacânciaFísica.isnull(), 'VacânciaFísica'] = filler"
      ],
      "execution_count": 16,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "7k4RS__5RLba",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 526
        },
        "outputId": "15f684fa-350f-432c-aa15-1b7b47a08dbd"
      },
      "source": [
        "missingno.matrix(df_fiis, figsize = (30,10))"
      ],
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fc1a64abf10>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 2160x720 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "P9RtcGGV5qum"
      },
      "source": [
        "Assim, concluimos o tratamento de valores faltantes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HQAgbCZDDYTV"
      },
      "source": [
        "## Tratamento de Outliers"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Xp3nsyPCN105"
      },
      "source": [
        "Agora, vamos tratar os outliers presentes nos dados:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "3BlWt9BmRLd_"
      },
      "source": [
        "df_fiis.replace([np.inf, -np.inf], np.nan, inplace=True)\n",
        "df_fiis.dropna(inplace=True)"
      ],
      "execution_count": 18,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PpCl8ii4C4ox",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 334
        },
        "outputId": "e236f707-1320-480c-bc32-cd7303c900ab"
      },
      "source": [
        "df_fiis.describe()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Preço Atual</th>\n",
              "      <th>Liquidez Diária</th>\n",
              "      <th>Dividendo</th>\n",
              "      <th>DividendYield</th>\n",
              "      <th>DY (3M)Média</th>\n",
              "      <th>DY (6M)Média</th>\n",
              "      <th>DY (12M)Média</th>\n",
              "      <th>DY Ano</th>\n",
              "      <th>Variação Preço</th>\n",
              "      <th>Rentab.Período</th>\n",
              "      <th>Rentab.Acumulada</th>\n",
              "      <th>PatrimônioLíq.</th>\n",
              "      <th>VPA</th>\n",
              "      <th>P/VPA</th>\n",
              "      <th>VacânciaFísica</th>\n",
              "      <th>QuantidadeAtivos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>2.140000e+02</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "      <td>214.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>547.158645</td>\n",
              "      <td>21428.827103</td>\n",
              "      <td>1.198738</td>\n",
              "      <td>0.952570</td>\n",
              "      <td>0.693458</td>\n",
              "      <td>0.586262</td>\n",
              "      <td>0.467009</td>\n",
              "      <td>3.104860</td>\n",
              "      <td>-2.615187</td>\n",
              "      <td>-1.717150</td>\n",
              "      <td>-3.615467</td>\n",
              "      <td>5.531636e+08</td>\n",
              "      <td>624.732243</td>\n",
              "      <td>112.476636</td>\n",
              "      <td>10.521916</td>\n",
              "      <td>3.649533</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5823.438684</td>\n",
              "      <td>74059.629912</td>\n",
              "      <td>3.414182</td>\n",
              "      <td>3.114005</td>\n",
              "      <td>1.101832</td>\n",
              "      <td>0.651536</td>\n",
              "      <td>0.461670</td>\n",
              "      <td>3.660563</td>\n",
              "      <td>9.077002</td>\n",
              "      <td>9.281446</td>\n",
              "      <td>12.193786</td>\n",
              "      <td>7.362897e+08</td>\n",
              "      <td>6409.044722</td>\n",
              "      <td>296.806614</td>\n",
              "      <td>16.967185</td>\n",
              "      <td>8.367362</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>0.750000</td>\n",
              "      <td>2.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>-94.650000</td>\n",
              "      <td>-94.620000</td>\n",
              "      <td>-94.590000</td>\n",
              "      <td>-5.941591e+06</td>\n",
              "      <td>-7.830000</td>\n",
              "      <td>-160.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>82.977500</td>\n",
              "      <td>429.500000</td>\n",
              "      <td>0.402500</td>\n",
              "      <td>0.482500</td>\n",
              "      <td>0.432500</td>\n",
              "      <td>0.290000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.850000</td>\n",
              "      <td>-3.640000</td>\n",
              "      <td>-3.062500</td>\n",
              "      <td>-6.877500</td>\n",
              "      <td>1.106043e+08</td>\n",
              "      <td>93.910000</td>\n",
              "      <td>84.000000</td>\n",
              "      <td>5.400000</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>98.600000</td>\n",
              "      <td>2749.500000</td>\n",
              "      <td>0.635000</td>\n",
              "      <td>0.630000</td>\n",
              "      <td>0.590000</td>\n",
              "      <td>0.550000</td>\n",
              "      <td>0.510000</td>\n",
              "      <td>2.690000</td>\n",
              "      <td>-1.610000</td>\n",
              "      <td>-0.895000</td>\n",
              "      <td>-1.930000</td>\n",
              "      <td>2.756415e+08</td>\n",
              "      <td>99.650000</td>\n",
              "      <td>97.000000</td>\n",
              "      <td>5.400000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>111.290000</td>\n",
              "      <td>19828.000000</td>\n",
              "      <td>0.925000</td>\n",
              "      <td>0.797500</td>\n",
              "      <td>0.750000</td>\n",
              "      <td>0.747500</td>\n",
              "      <td>0.667500</td>\n",
              "      <td>3.485000</td>\n",
              "      <td>0.370000</td>\n",
              "      <td>1.090000</td>\n",
              "      <td>2.092500</td>\n",
              "      <td>6.363097e+08</td>\n",
              "      <td>108.002500</td>\n",
              "      <td>103.000000</td>\n",
              "      <td>5.800000</td>\n",
              "      <td>3.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>85227.760000</td>\n",
              "      <td>890062.000000</td>\n",
              "      <td>29.050000</td>\n",
              "      <td>36.320000</td>\n",
              "      <td>12.660000</td>\n",
              "      <td>6.830000</td>\n",
              "      <td>3.770000</td>\n",
              "      <td>39.240000</td>\n",
              "      <td>32.730000</td>\n",
              "      <td>33.030000</td>\n",
              "      <td>33.710000</td>\n",
              "      <td>4.852707e+09</td>\n",
              "      <td>93717.970000</td>\n",
              "      <td>4406.000000</td>\n",
              "      <td>100.000000</td>\n",
              "      <td>72.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "        Preço Atual  Liquidez Diária  ...  VacânciaFísica  QuantidadeAtivos\n",
              "count    214.000000       214.000000  ...      214.000000        214.000000\n",
              "mean     547.158645     21428.827103  ...       10.521916          3.649533\n",
              "std     5823.438684     74059.629912  ...       16.967185          8.367362\n",
              "min        0.750000         2.000000  ...        0.000000          0.000000\n",
              "25%       82.977500       429.500000  ...        5.400000          0.000000\n",
              "50%       98.600000      2749.500000  ...        5.400000          1.000000\n",
              "75%      111.290000     19828.000000  ...        5.800000          3.000000\n",
              "max    85227.760000    890062.000000  ...      100.000000         72.000000\n",
              "\n",
              "[8 rows x 16 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "bdozlPw3EWQf",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "7030eb5a-5e65-4bd9-c8a3-d8a7e45a3d90"
      },
      "source": [
        "for i in df_fiis.columns:\n",
        "    plt.figure()\n",
        "    plt.hist(df_fiis[i])"
      ],
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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X1Z8uZ5/zNcv+XA28WFWfXc7eFivJSmBlVT2c5LXAVuB84MOM4HGaY38uZASPU5IAx1bVi0mOAb4GXA58HLizqm5L8kXgW1V13VzfNcpn8P93O4Sq+m/g4O0QtIyq6gHg+Wnl84BN3fQmpv7lGwmz7M9Iq6q9VfVwN/0C8DhTvz4fyeM0x/6MpJryYvfxmO5VwHuAL3X1eR2fUQ74mW6HMLIHdUABX0mytbudQwtWVNXebvo5YMVyNjMklyXZ3g3hjMRQxkySrAJOBx6igeM0bX9gRI9TkqOSbAP2A1uAp4DvV9WBbpF55d0oB3yr3llVbwPOAS7thgiaUVNjgqM5LvgT1wGnAWuAvcC1y9vO4iR5DbAZ+FhV/XBw3igepxn2Z2SPU1W9XFVrmLoLwBnAryzme0Y54Ju8HUJV7ene9wN3MXVwR92+bpz04Hjp/mXup5eq2tf9C/gKcD0jeIy6sd3NwM1VdWdXHtnjNNP+tHCcqur7wP3AbwDHJTn449R55d0oB3xzt0NIcmz3RyKSHAu8D9gx91oj4R5gXTe9Drh7GXvp7WAIdi5gxI5R90e8G4DHq+pzA7NG8jjNtj+jepySjCU5rpv+BaYuJHmcqaD/vW6xeR2fkb2KBqC77Omv+cntED69zC31kuQNTJ21w9RtJG4ZtX1KcitwJlO3Nt0HXAX8E3AH8HrgGeDCqhqJP1zOsj9nMvW//QXsAi4ZGLs+4iV5J/BvwCPAK135SqbGrUfuOM2xP2sZweOU5K1M/RH1KKZOwu+oqk91+XAbcALwTeAPq+qlOb9rlANekjS7UR6ikSTNwYCXpEYZ8JLUKANekhplwEtSowx4SWqUAS9JjfpfZlLm3LnOjQMAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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21bxcA5x10NhlwJaqWgls6Z4/V13Dz+ffDLyyql4FfAe4/FCHmsmSLXd6PuKgqn4KTH/EwZJQVXur6q5u+QmmiuXY0abqT5LjgDcBnx11ln4l+RXgdcDVAFX106r679Gm6tsy4JeSLANeDPzniPPMqaruAB47aHg1sLFb3gicd0hD9WGm/FV1e1Ud6J7eydT7ekZuKZf7TB9xsKTKcVqSFcApwDdGm6Rvfwe8H3h61EEW4ERgEvinblrps0kOH3Wo+aqqPcDHgO8Be4HHq+r20aZasOVVtbdbfhRYPsowA3on8KVRh4ClXe5NSPIS4EbgPVX1w1Hnma8kbwb2V9XWUWdZoGXAa4CrquoU4Ec8t6cDnqGbl17N1H9Svw4cnuRPRptqcDV1bfaSvD47yQeZmm69dtRZYGmX+5L/iIMkL2Cq2K+tqptGnadPpwPnJtnF1JTY65P882gj9WU3sLuqpn9auoGpsl8q3gB8t6omq+pnwE3A744400LtS3IMQPd1/4jz9C3J24E3A2+t58ibh5ZyuS/pjzhIEqbme3dU1cdHnadfVXV5VR1XVSuY+rv/96paMmeOVfUo8EiSk7qhM1laH0n9PeC0JC/uvpfOZAn9QvggtwJru+W1wC0jzNK3JGcxNT15blU9Oeo805ZsuXe/wJj+iIMdwPWL/BEHw3Y6cCFTZ7x3d49zRh3qeebPgGuTbANWAX894jzz1v3EcQNwF/Btpv4tPyffBt8rySbg68BJSXYnuQi4AnhjkgeY+onkilFmfDaz5P8U8FJgc/fv+NMjDdnx4wckqUFL9sxdkjQ7y12SGmS5S1KDLHdJapDlLkkNstwlqUGWuyQ16H8BVNtu1KC6nNEAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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AdVV1FvATYM2/RwfQTSFdBPzbsMdOcrn7EQcnQTdv/Sngxqr69LjzDKP7r/edwI5xZzmB84CLujnsm4E3JPmX8UZaWlUd6b4fBT7DwjTpWjUHzA38D+5WFsp+EpwP3FtVTw174CSXux9xsMq6Nyf3AYeq6oPjzrMcSaaSrO+WX8zCG+4PjzfV8VXVVVW1paqmWfg7/KWq+uMxxzqhJKd1b7DTTW+8CVizd4BV1ZPA40nO7Ia2A2v2poBjXMoIUzIwxk+F7Oskf8TBikhyE/B6YEOSOeCaqto33lQndB7wduD+bg4b4Oqq+vwYMy1lE7C/u8PgecAtVTURtxdOkI3AZxb+7Wcd8K9V9YXxRlrSu4AbuwvBR4B3jjnPkrp/ON8I/NlIx0/qrZCSpOOb5GkZSdJxWO6S1CDLXZIaZLlLUoMsd0lqkOUuSQ2y3CWpQf8HUBPx9TRGUUQAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Al7X6ZcAft+GLgM8CAc4Fbm31E4D72/O6NryuTfvXNm/asheu9OueZz/8LvBR4NNt/Drgkjb8AeC32vBvAx9ow5cA17bhM9vxcBxwejtOjlktxwxwFfAbbfjpwPFr6Rhg9CXIrwLfP/bf/9Vr7TgY+ljN79yf+omDqvofYO4nDlatqtpbVV9sw98E7mJ0oG9m9A+e9vzyNrwZuLpGbgGOT3IS8BJge1V9raq+DmwHLmjTfqiqbqnR0X/12LqOCklOAV4KfKiNB3gRcH2b5cDXP7dfrgfOb/NvBj5WVd+pqq8CuxgdL0f9MZPkh4EXAlcAVNX/VNU3WEPHQHMs8P1JjgV+ANjLGjoOJmE1h/t8P3Fw8gr1MnHtT8uzgFuB9VW1t016GFjfhg+2Dw5V3z1P/WjyZ8BbgCfb+I8A36iqx9v4eM9Pvc42/dE2/2L3y9HkdGAW+Ot2aupDSZ7JGjoGqmoP8G7gPxiF+qPADtbWcTDYag73biV5FnAD8Oaqemx8Wnu31eX1q0l+CdhfVTtWupcVdCxwNnB5VZ0FfIvRaZin9HwMALTPEzYz+h/djwHPBC5Y0aZWodUc7l3+xEGSpzEK9o9U1SdaeV/7c5r2vL/VD7YPDlU/ZZ760eJ5wMuSPMDoT+UXAX/O6FTD3Bfuxnt+6nW26T8MPMLi98vRZDewu6pubePXMwr7tXIMAPwC8NWqmq2q/wU+wejYWEvHwWCrOdy7+4mDdp7wCuCuqnrv2KQbgbmrHbYAnxqrv6pdMXEu8Gj70/1zwIuTrGvvgl4MfK5NeyzJuW1brxpb14qrqrdW1SlVtYHRf89/rKpfAz4P/Eqb7cDXP7dffqXNX61+SbuK4nRgI6MPEY/6Y6aqHgYeSvLcVjqf0U9lr4ljoPkP4NwkP9B6nNsHa+Y4mIiV/kR3yIPRlQJfYfTJ99tXup8JvJ7nM/pz+3bgtva4iNH5w5uBe4F/AE5o84fRTVHuA74MTI+t69cZfYC0C3jNWH0a2NmW+Qvat5SPtgdwHv9/tcwZjP5R7gI+DhzX6s9o47va9DPGln97e433MHY1yGo4ZoBNwEw7Dv6W0dUua+oYAP4QuLv1+TeMrnhZU8fB0Ic/PyBJHVrNp2UkSQdhuEtShwx3SeqQ4S5JHTLcJalDhrskdchwl6QO/R+vMs4Vu5b0lgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TgWuAt1fVj4a3TUrWqnq8Bv/lPY7Bl9M9d8yRniTJa4F9VbVt3FkW4SVV9QIGU5sXJnnZ8MZJed4ZfB7nBcDlVXUq8BPmTW1MUFa691POBj47f9uhzLmay301fsXB3iRrAbrrfWPOA0CSpzAo9k9W1ee74YnMClBVPwC+xmB648gkcx/Gm4SfgRcDZyfZCXyawdTMR5m8nFTV7u56H4O54dOYzOd9F7Crqm7u1j/HoOwnMSsM/rG8par2dutjybmay301fsXBdcD53fL5DOa3xypJgCuAO6vqI0ObJiprkqkkR3bLv8XgfYE7GZT8n3e7jT1nVV1SVcdV1ToGP5P/VVVvYMJyJjkiyTPmlhnMEe9gwp53gKp6CHgwycnd0BkMvj584rJ2NvKLKRkYV85xv/HQ802Ls4DvMph7fc+488zLthXYA/ycwSuPCxjMvd4I3AP8J3D0BOR8CYP/Jt4GbO8uZ01aVuB5wK1dzh3Ae7vxk4BvAvcy+G/w08b9mA5lPh344iTm7PJ8u7vcPvf3Z9Ke96G8G4CZ7vn/d+CoScwKHAE8AjxzaGwsOf36AUlq0GqelpEkHYDlLkkNstwlqUGWuyQ1yHKXpAZZ7pLUIMtdkhr0//SGy4DCBMozAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "9njGSqgEOLqj"
      },
      "source": [
        "Olhando a tabela e os gráficos, é possível ver que a maior parte dos campos possui um ou mais outliers, algo que prejudicaria na análise e na criação do modelo de classificação, assim, devemos tratar essas colunas:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "vpQgW9EKC9M4"
      },
      "source": [
        "columns_to_treat = ['Liquidez Diária', 'Dividendo', 'DividendYield', 'DY (3M)Média', 'DY (6M)Média', 'DY (12M)Média', 'DY Ano', 'Variação Preço', 'Rentab.Período', 'Rentab.Acumulada', 'PatrimônioLíq.', 'VPA', 'P/VPA', 'VacânciaFísica', 'QuantidadeAtivos']\n",
        "\n",
        "for i in columns_to_treat:\n",
        "  #Removendo os outliers\n",
        "  min_threshold, max_threshold = df_fiis[i].quantile([0.001, 0.999])\n",
        "  df_fiis.drop(df_fiis.loc[df_fiis[i] < min_threshold].index, inplace=True)\n",
        "  df_fiis.drop(df_fiis.loc[df_fiis[i] > max_threshold].index, inplace=True)"
      ],
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Fs7i_ik3DABF",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "0add1c56-e783-4b01-f522-133e3ed3d0c8"
      },
      "source": [
        "for i in df_fiis.columns:\n",
        "    plt.figure()\n",
        "    plt.hist(df_fiis[i])"
      ],
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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JDveJ/omDqjra3Z8A7mTuv4bH56dbuvsT3eaTNtaVjmPdj6+qjlfV01X1DHAzc+cLJmhMSZ7DXAh+vKo+05Un+lwNG1ML52ocJjncJ/YnDpI8L8lp88vApcBB5vqfv/rgWuCz3fJdwBu6KxheBvxo4L/S69FKx/EF4NIkG7v/Ql/a1daNBZ9xXMXc+YK5MV2T5NQk5wFbga+yzl6fSQLcAjxYVR8aWDWx52qxMU36uRqbtf5Et8+NuU/0v8PcJ93vXut+VtD3+cx9Iv9N4P753oEXAPcADwP/AZzR1cPcHz95BPgWML3WYxgYyx7m/uv7c+bmKq8bZRzAm5n7gOsQ8KZ1OKZ/6Xo+wNw//M0D27+7G9NDwOXr8fUJvJy5KZcDwP7udsUkn6uTjGmiz9W4bv78gCQ1aJKnZSRJizDcJalBhrskNchwl6QGGe6S1CDDXZIaZLhLUoP+D9cTaPQEayiGAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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9qlb1ywxHwHrgrpnf8awB/rWqvjHckeb1CeDW7sLuOeDyIc8zr+4X5UeAP1/R847qSyElSfMb5WUZSdI8jLskNci4S1KDjLskNci4S1KDjLskNci4S1KD/heLE5TdEkgDXgAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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34Bq/g4H/AS13jU3ry0fpJalT0zAHLklaAwNckjplgEtSpwxwSeqUAS5JnTLAJalTBrgkdep/AdG/ZzFHYf1zAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TLcD73J7/wzZJ1gCvAJ4eS3XjtWRfVNXTVfW9bvUW4HVjqu1U5dc7dKrq+ar6drf8CeD0JOdOuKyRSXI6C+F9W1XdPaDJqnxvnGoB3uf2/B3A5m75OuDT1X1Kscos2ReL5vCuZWHu74VsB/Br3RUHlwPPVdX+SRc1CUl+/NBnQ0kuY+F3fTUOdOj+nrcCu6vq/cdptirfG6fUQ43rOLfnJ/ljYK6qdrDwD/X3Sfaw8CHODZOreHR69sU7klwLHGShL942sYLHIMntLFxdcW6SfcD7gNMBqupDwCdYuNpgD/Bd4O2TqXT0evTFdcBvJDkI/A9wwyod6ABcAbwV+FKSB7tt7wV+Elb3e8Nb6SWpUafaFIokqScDXJIaZYBLUqMMcElqlAEuSY0ywCWpUQa4JDXq/wG5m8tMfSOYjAAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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/uBnq7dZ/H9i/5LgN718GI6n7gf9lMNe6B3g38O5uexj80ZN7uprmpty3o+r9MPDw0LU737Wf0/Xrrd21ctkmqPW9Q9ftjQz9p7PcNTTtert93sXgTRfDx62rb32UXpIatRnmwCVJa2CAS1KjDHBJapQBLkmNMsAlqVEGuCQ1ygCXpEb9P4GvSGKLrM0BAAAAAElFTkSuQmCC\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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uei2D0wxPmKF8Hwde200/g8E590zxOZzn6BfdNvGjF1Q/O83XX498TwZuBZ437Vx98h027n1M8YJqj+fuGcCe7jX6KOAG4JnL/cyZOnKvo9zSIMmfAItVtRu4kMGvw7cyuAhx3ozl+3PgMcDfd0cBX62qV85ItlXTM98ngZcnuQn4AfDbNaUjvJ753gL8dZLfYnBx9bXVvfsmLckHGZyuWtud8/9D4OFd9vcwuAZwFoMC/S7wumnkGiLfHzC4NvZX3fviYE3xTow98q2a5bJV1c1JPgFcD9wHXFBVD/iRTvD2A5LUpFn7tIwkaQwsd0lqkOUuSQ2y3CWpQZa7JDXIcpekBlnuktSg/wWWqjxt56UzJwAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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7vgjc1A2kngM+33Oe2f/JXQT8cd9ZZlXVQ0l2AY8AbwGPMqRl9SN/G6EkaWEtTKFIkhZggUtSoyxwSWqUBS5JjbLAJalRFrgkNcoCl6RG/R+fJ6lO216F6wAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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WPqxtxYb56ooklyR56tl54JW0dS6W2g/MdPMzwMh+g10PLzX+c+DJLPwaBfCZqnpzVd2b5FbgPhaGVn69qh4fY509JXkD8GfABHBHknuq6lXAS4HfT/I/wPeAN1fV0g9C1o3z9aPFc7LEHybZysIQylHg18ZbTv+G9NUV4zIJ3N79e98EfLiqPjHekvqT5CPAzwNXJDkG/A6wB7g1yU7gYeD6kdXjo/SS1KaxD6FIklbHAJekRhngktQoA1ySGmWAS1KjDHBJapQBLkmN+l9eyASzFFIO6gAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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s+hfzx1vpJalRI72EIkmjzACXpEYZ4JLUKANckhplgEtSowxwSWqUAS5Jjfo/eG0rWZNdbB8AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5VV6Shd2QEHl"
      },
      "source": [
        "Agora, como podemos ver, os gráficos estão distribuídos de uma forma bem melhor que antes"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "HUxRBpQ8Dkvx"
      },
      "source": [
        "## Normalização dos dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xNlRTlxFQQAV"
      },
      "source": [
        "Por último, precisamos fazer a normalização dos dados para o nosso modelo:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "WSR5viMTxrQz"
      },
      "source": [
        "# Normalizando os valores nas colunas\n",
        "columns_to_normalize = ['Liquidez Diária', 'Dividendo', 'DividendYield', 'DY (3M)Média', 'DY (6M)Média', 'DY (12M)Média', 'DY Ano', 'Variação Preço', 'Rentab.Período', 'Rentab.Acumulada', 'PatrimônioLíq.', 'VPA', 'P/VPA', 'VacânciaFísica', 'QuantidadeAtivos']\n",
        "\n",
        "for i in columns_to_normalize:\n",
        "  max_value = df_fiis[i].max()\n",
        "  min_value = df_fiis[i].min()\n",
        "  df_fiis[i] = (df_fiis[i] - min_value) / (max_value - min_value)"
      ],
      "execution_count": 23,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nZzOU53oQ8JR"
      },
      "source": [
        "Estado final dos dados:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 507
        },
        "id": "bFthtEWchHbe",
        "outputId": "d5bbe60a-594c-4321-8742-301633e79f32"
      },
      "source": [
        "df_fiis"
      ],
      "execution_count": 24,
      "outputs": [
        {
          "output_type": "execute_result",
          "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>Códigodo fundo</th>\n",
              "      <th>Setor</th>\n",
              "      <th>Preço Atual</th>\n",
              "      <th>Liquidez Diária</th>\n",
              "      <th>Dividendo</th>\n",
              "      <th>DividendYield</th>\n",
              "      <th>DY (3M)Média</th>\n",
              "      <th>DY (6M)Média</th>\n",
              "      <th>DY (12M)Média</th>\n",
              "      <th>DY Ano</th>\n",
              "      <th>Variação Preço</th>\n",
              "      <th>Rentab.Período</th>\n",
              "      <th>Rentab.Acumulada</th>\n",
              "      <th>PatrimônioLíq.</th>\n",
              "      <th>VPA</th>\n",
              "      <th>P/VPA</th>\n",
              "      <th>VacânciaFísica</th>\n",
              "      <th>QuantidadeAtivos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>ABCP11</td>\n",
              "      <td>Shoppings</td>\n",
              "      <td>70.84</td>\n",
              "      <td>0.004384</td>\n",
              "      <td>0.006993</td>\n",
              "      <td>0.036585</td>\n",
              "      <td>0.191111</td>\n",
              "      <td>0.258621</td>\n",
              "      <td>0.215686</td>\n",
              "      <td>0.160891</td>\n",
              "      <td>0.699139</td>\n",
              "      <td>0.659141</td>\n",
              "      <td>0.759511</td>\n",
              "      <td>0.279613</td>\n",
              "      <td>0.022610</td>\n",
              "      <td>0.469388</td>\n",
              "      <td>0.111520</td>\n",
              "      <td>0.015625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>AFCR11</td>\n",
              "      <td>Híbrido</td>\n",
              "      <td>110.30</td>\n",
              "      <td>0.007028</td>\n",
              "      <td>0.151049</td>\n",
              "      <td>0.585366</td>\n",
              "      <td>0.417778</td>\n",
              "      <td>0.517241</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.561881</td>\n",
              "      <td>0.538436</td>\n",
              "      <td>0.532591</td>\n",
              "      <td>0.759511</td>\n",
              "      <td>0.031292</td>\n",
              "      <td>0.026949</td>\n",
              "      <td>0.734694</td>\n",
              "      <td>0.066176</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>AIEC11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>86.27</td>\n",
              "      <td>0.076846</td>\n",
              "      <td>0.079720</td>\n",
              "      <td>0.396341</td>\n",
              "      <td>0.284444</td>\n",
              "      <td>0.356322</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.386139</td>\n",
              "      <td>0.529490</td>\n",
              "      <td>0.514467</td>\n",
              "      <td>0.667750</td>\n",
              "      <td>0.124981</td>\n",
              "      <td>0.025911</td>\n",
              "      <td>0.530612</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.031250</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>ALMI11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>1160.00</td>\n",
              "      <td>0.000238</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.714049</td>\n",
              "      <td>0.671542</td>\n",
              "      <td>0.182374</td>\n",
              "      <td>0.058860</td>\n",
              "      <td>0.570928</td>\n",
              "      <td>0.224490</td>\n",
              "      <td>0.835172</td>\n",
              "      <td>0.015625</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>ALZR11</td>\n",
              "      <td>Logística</td>\n",
              "      <td>128.00</td>\n",
              "      <td>0.053155</td>\n",
              "      <td>0.095105</td>\n",
              "      <td>0.329268</td>\n",
              "      <td>0.217778</td>\n",
              "      <td>0.235632</td>\n",
              "      <td>0.261438</td>\n",
              "      <td>0.230198</td>\n",
              "      <td>0.529821</td>\n",
              "      <td>0.511288</td>\n",
              "      <td>0.684573</td>\n",
              "      <td>0.118626</td>\n",
              "      <td>0.026544</td>\n",
              "      <td>0.928571</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.203125</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",
              "      <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>232</th>\n",
              "      <td>XPLG11</td>\n",
              "      <td>Logística</td>\n",
              "      <td>114.10</td>\n",
              "      <td>0.258287</td>\n",
              "      <td>0.085315</td>\n",
              "      <td>0.329268</td>\n",
              "      <td>0.231111</td>\n",
              "      <td>0.287356</td>\n",
              "      <td>0.307190</td>\n",
              "      <td>0.311881</td>\n",
              "      <td>0.571571</td>\n",
              "      <td>0.551351</td>\n",
              "      <td>0.648060</td>\n",
              "      <td>0.777037</td>\n",
              "      <td>0.028717</td>\n",
              "      <td>0.704082</td>\n",
              "      <td>0.100490</td>\n",
              "      <td>0.203125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>233</th>\n",
              "      <td>XPML11</td>\n",
              "      <td>Shoppings</td>\n",
              "      <td>107.49</td>\n",
              "      <td>0.212628</td>\n",
              "      <td>0.041958</td>\n",
              "      <td>0.176829</td>\n",
              "      <td>0.097778</td>\n",
              "      <td>0.189655</td>\n",
              "      <td>0.189542</td>\n",
              "      <td>0.121287</td>\n",
              "      <td>0.505964</td>\n",
              "      <td>0.480763</td>\n",
              "      <td>0.592430</td>\n",
              "      <td>0.519777</td>\n",
              "      <td>0.028598</td>\n",
              "      <td>0.653061</td>\n",
              "      <td>0.067402</td>\n",
              "      <td>0.203125</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>234</th>\n",
              "      <td>XPPR11</td>\n",
              "      <td>Outros</td>\n",
              "      <td>62.80</td>\n",
              "      <td>0.148134</td>\n",
              "      <td>0.067133</td>\n",
              "      <td>0.457317</td>\n",
              "      <td>0.320000</td>\n",
              "      <td>0.396552</td>\n",
              "      <td>0.496732</td>\n",
              "      <td>0.425743</td>\n",
              "      <td>0.466865</td>\n",
              "      <td>0.457234</td>\n",
              "      <td>0.382145</td>\n",
              "      <td>0.165145</td>\n",
              "      <td>0.022294</td>\n",
              "      <td>0.387755</td>\n",
              "      <td>0.477941</td>\n",
              "      <td>0.062500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>235</th>\n",
              "      <td>XPSF11</td>\n",
              "      <td>Outros</td>\n",
              "      <td>97.50</td>\n",
              "      <td>0.093829</td>\n",
              "      <td>0.121678</td>\n",
              "      <td>0.542683</td>\n",
              "      <td>0.364444</td>\n",
              "      <td>0.454023</td>\n",
              "      <td>0.509804</td>\n",
              "      <td>0.496287</td>\n",
              "      <td>0.657389</td>\n",
              "      <td>0.645469</td>\n",
              "      <td>0.842286</td>\n",
              "      <td>0.109809</td>\n",
              "      <td>0.025350</td>\n",
              "      <td>0.663265</td>\n",
              "      <td>0.066176</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>236</th>\n",
              "      <td>XTED11</td>\n",
              "      <td>Lajes Corporativas</td>\n",
              "      <td>7.13</td>\n",
              "      <td>0.031883</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.675282</td>\n",
              "      <td>0.634340</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.005806</td>\n",
              "      <td>0.002032</td>\n",
              "      <td>0.163265</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.015625</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>193 rows × 18 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "    Códigodo fundo               Setor  ...  VacânciaFísica  QuantidadeAtivos\n",
              "0           ABCP11           Shoppings  ...        0.111520          0.015625\n",
              "1           AFCR11             Híbrido  ...        0.066176          0.000000\n",
              "3           AIEC11  Lajes Corporativas  ...        0.000000          0.031250\n",
              "4           ALMI11  Lajes Corporativas  ...        0.835172          0.015625\n",
              "5           ALZR11           Logística  ...        0.000000          0.203125\n",
              "..             ...                 ...  ...             ...               ...\n",
              "232         XPLG11           Logística  ...        0.100490          0.203125\n",
              "233         XPML11           Shoppings  ...        0.067402          0.203125\n",
              "234         XPPR11              Outros  ...        0.477941          0.062500\n",
              "235         XPSF11              Outros  ...        0.066176          0.000000\n",
              "236         XTED11  Lajes Corporativas  ...        0.000000          0.015625\n",
              "\n",
              "[193 rows x 18 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 24
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gokm5dm8RA0t"
      },
      "source": [
        "E agora, transformamos em CSV, para podermos criar o modelo em um outro notebook:"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "8ubz0PLsYkr0",
        "outputId": "907b21c9-1db4-4a3c-c2d3-e03c864d030f"
      },
      "source": [
        "df_csv = df_fiis.to_csv()\n",
        "print(df_csv)"
      ],
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            ",Códigodo fundo,Setor,Preço Atual,Liquidez Diária,Dividendo,DividendYield,DY (3M)Média,DY (6M)Média,DY (12M)Média,DY Ano,Variação Preço,Rentab.Período,Rentab.Acumulada,PatrimônioLíq.,VPA,P/VPA,VacânciaFísica,QuantidadeAtivos\n",
            "0,ABCP11,Shoppings,70.84,0.004384498027663113,0.006993006993006993,0.036585365853658534,0.19111111111111112,0.25862068965517243,0.21568627450980393,0.1608910891089109,0.6991385023194169,0.659141494435612,0.759510609826037,0.27961328380847983,0.02261005224323919,0.46938775510204084,0.11151960784313726,0.015625\n",
            "1,AFCR11,Híbrido,110.3,0.007028025051656442,0.15104895104895105,0.5853658536585366,0.41777777777777775,0.5172413793103449,0.0,0.5618811881188119,0.5384360503644798,0.532591414944356,0.759510609826037,0.031291888756807336,0.026948850482181222,0.7346938775510204,0.06617647058823531,0.0\n",
            "3,AIEC11,Lajes Corporativas,86.27,0.076845543801456,0.07972027972027972,0.39634146341463417,0.28444444444444444,0.3563218390804598,0.0,0.38613861386138615,0.5294897282968853,0.5144674085850556,0.6677499522079908,0.1249805540727867,0.025910647960514992,0.5306122448979592,0.0,0.03125\n",
            "4,ALMI11,Lajes Corporativas,1160.0,0.0002382381373442862,0.0,0.0,0.0,0.0,0.0,0.0,0.714049039098741,0.6715421303656598,0.18237430701586693,0.05886040512409581,0.5709281086392886,0.22448979591836735,0.8351715686274511,0.015625\n",
            "5,ALZR11,Logística,128.0,0.05315459364362324,0.0951048951048951,0.32926829268292684,0.21777777777777776,0.23563218390804597,0.26143790849673204,0.2301980198019802,0.5298210735586482,0.5112877583465819,0.6845727394379658,0.11862642950155321,0.02654356286677141,0.9285714285714286,0.0,0.203125\n",
            "6,ARCT11,Híbrido,108.14,0.00806344464857584,0.13986013986013984,0.5,1.0,1.0,1.0,0.9257425742574258,0.9671968190854872,0.9430842607313196,0.6180462626648824,0.041460582960258924,0.026329815288781304,0.7346938775510204,0.06617647058823531,0.03125\n",
            "7,ARRI11,Títulos e Val. Mob.,102.46,0.008177982214606746,0.15664335664335666,0.676829268292683,0.47111111111111115,0.6149425287356323,0.5751633986928104,0.6844059405940595,0.27203445990722336,0.27885532591414947,0.9516344867138214,0.00902570630335095,0.02486411761113486,0.7346938775510204,0.06617647058823531,0.0\n",
            "8,ATSA11,Shoppings,107.97,0.0,0.03496503496503496,0.10975609756097561,0.08888888888888889,0.12643678160919541,0.16339869281045752,0.04579207920792079,0.6633532140490391,0.628616852146264,0.744217166889696,0.044122817396198666,0.025474824976820878,0.7653061224489796,0.2732843137254902,0.015625\n",
            "9,BARI11,Títulos e Val. Mob.,106.7,0.06818650380951945,0.14965034965034965,0.6097560975609756,0.42666666666666664,0.7298850574712644,0.6993464052287582,0.7512376237623762,0.5593108018555335,0.5542130365659776,0.7119097686866754,0.1217486281025162,0.026310383690782205,0.7244897959183674,0.06617647058823531,0.0\n",
            "11,BBFO11,Títulos e Val. Mob.,87.98,0.005713133793621632,0.06993006993006992,0.34146341463414637,0.23555555555555557,0.0,0.0,0.31435643564356436,0.6242544731610338,0.6028616852146264,0.6721468170521888,0.0986862328273625,0.024608730894575253,0.5918367346938775,0.06617647058823531,0.0\n",
            "12,BBPO11,Lajes Corporativas,114.1,0.08355744517086715,0.15104895104895105,0.573170731707317,0.41333333333333333,0.5344827586206897,0.5490196078431372,0.5816831683168316,0.6136514247846255,0.6047694753577108,0.8216402217549225,0.4152917968411612,0.025980046524797497,0.8163265306122449,0.0,1.0\n",
            "13,BBRC11,Outros,116.0,0.002922998685108742,0.12167832167832167,0.4573170731707317,0.3466666666666667,0.4310344827586207,0.4640522875816993,0.47648514851485146,0.6000662690523525,0.585691573926868,0.6398394188491684,0.0467138525775232,0.029988507597754815,0.6836734693877551,0.06617647058823531,0.3125\n",
            "14,BCFF11,Títulos e Val. Mob.,85.71,0.16864511222390718,0.06993006993006992,0.3475609756097561,0.27555555555555555,0.3448275862068965,0.35947712418300654,0.3032178217821782,0.7127236580516899,0.6890302066772654,0.6645000955840182,0.5533950339562297,0.02153853841071736,0.6836734693877551,0.06617647058823531,0.0\n",
            "15,BCIA11,Títulos e Val. Mob.,96.26,0.056989311354338,0.08951048951048951,0.39634146341463417,0.28,0.3505747126436782,0.36601307189542487,0.3787128712871287,0.5099403578528827,0.49570747217806044,0.5117568342573121,0.10809884219698511,0.029338937036070597,0.5306122448979592,0.06617647058823531,0.0\n",
            "16,BCRI11,Títulos e Val. Mob.,112.25,0.10615341619744444,0.22237762237762237,0.8414634146341463,0.5422222222222222,0.603448275862069,0.607843137254902,0.655940594059406,0.5361166335321405,0.5430842607313195,0.7782450774230548,0.12139030218763561,0.027726114402145247,0.7244897959183674,0.06617647058823531,0.0\n",
            "17,BICR11,Títulos e Val. Mob.,94.91,0.000201586116214396,0.048951048951048945,0.22560975609756098,0.14666666666666667,0.16666666666666666,0.16339869281045752,0.1806930693069307,0.7080848243870113,0.67758346581876,0.6474861403173389,0.012051289271709184,0.02555810325395988,0.6326530612244898,0.06617647058823531,0.0\n",
            "18,BLCP11,Outros,98.28,0.0002474011426267587,0.08671328671328671,0.3780487804878049,0.28444444444444444,0.39080459770114945,0.0,0.3254950495049505,0.5152418820410869,0.4995230524642289,0.6964251577136302,0.049898440231109675,0.026249312954213604,0.6428571428571429,0.06617647058823531,0.03125\n",
            "20,BLMG11,Outros,101.75,0.3384951596424595,0.1020979020979021,0.4329268292682927,0.3111111111111111,0.0,0.0,0.25866336633663367,0.5381047051027171,0.5246422893481717,0.704263047218505,0.09744790584998367,0.02560529427767198,0.7040816326530612,0.0,0.015625\n",
            "21,BLMR11,Títulos e Val. Mob.,82.5,0.03956127530707521,0.09090909090909091,0.4573170731707317,0.0,0.0,0.0,0.22896039603960397,0.5417495029821074,0.529093799682035,0.6713821449053717,0.06254032229919049,0.02455876392829185,0.5408163265306123,0.06617647058823531,0.0\n",
            "22,BMLC11,Lajes Corporativas,90.97,0.00034361269809272043,0.07412587412587412,0.35365853658536583,0.24444444444444446,0.3505747126436782,0.3986928104575163,0.275990099009901,0.5931080185553347,0.5736089030206678,0.6895431083922768,0.026927879160051436,0.02774554600014435,0.5204081632653061,0.06617647058823531,0.03125\n",
            "23,BNFS11,Outros,123.6,0.0008521594912699467,0.1608391608391608,0.5609756097560976,0.39111111111111113,0.4885057471264368,0.5228758169934641,0.525990099009901,0.6749502982107356,0.6635930047694754,0.7683043395144331,0.018070161402726406,0.026885003803041322,0.8673469387755102,0.06617647058823531,0.28125\n",
            "24,BPFF11,Títulos e Val. Mob.,78.55,0.0716913533300652,0.07972027972027972,0.43902439024390244,0.3244444444444444,0.41379310344827586,0.43137254901960786,0.44801980198019803,0.705765407554672,0.6868044515103339,0.7728923723953355,0.09806028117259898,0.02157462566414426,0.6020408163265306,0.06617647058823531,0.0\n",
            "26,BRCO11,Logística,110.0,0.6911196734304917,0.07552447552447553,0.29878048780487804,0.21777777777777776,0.27586206896551724,0.3006535947712418,0.30074257425742573,0.5944333996023857,0.5720190779014308,0.6910724526859109,0.4160460078777962,0.028186920868981065,0.6836734693877551,0.07230392156862746,0.15625\n",
            "27,BRCR11,Híbrido,83.37,0.1375733613110428,0.06433566433566433,0.32926829268292684,0.24444444444444446,0.3160919540229885,0.33986928104575165,0.2042079207920792,0.6474486414844268,0.6248012718600954,0.7489963678073026,0.7433879979522615,0.027900998784137154,0.4489795918367347,0.2732843137254902,0.21875\n",
            "28,BREV11,Híbrido,106.51,0.0,0.05874125874125874,0.2378048780487805,0.17333333333333334,0.21839080459770116,0.0,0.1745049504950495,0.6000662690523525,0.5745627980922098,0.611928885490346,0.02491439839036873,0.02751236682415514,0.673469387755102,0.2573529411764706,0.1875\n",
            "30,BTAL11,Outros,101.56,0.03856250773128571,0.06713286713286713,0.2804878048780488,0.0,0.0,0.0,0.09900990099009901,0.6000662690523525,0.5764705882352942,0.715924297457465,0.15551410426042794,0.025971718697083594,0.6836734693877551,0.06617647058823531,0.109375\n",
            "31,BTCR11,Títulos e Val. Mob.,93.9,0.043052380319697256,0.09370629370629371,0.4329268292682927,0.30666666666666664,0.37931034482758624,0.36601307189542487,0.33663366336633666,0.694831013916501,0.6759936406995231,0.8952399158860638,0.12025642122970724,0.024947395888273865,0.6428571428571429,0.06617647058823531,0.0\n",
            "32,BTLG11,Logística,112.88,0.22332076474442086,0.09790209790209789,0.3780487804878049,0.2533333333333333,0.3160919540229885,0.3333333333333333,0.2747524752475248,0.6660039761431412,0.6454689984101748,0.6797935385203593,0.3391373665933427,0.026027237548509597,0.7959183673469388,0.0,0.234375\n",
            "33,BZLI11,Títulos e Val. Mob.,14.7,0.20176479481740422,0.0,0.0,0.0,0.0,0.0,0.0,0.6613651424784626,0.6209856915739268,0.744981839036513,0.11355103945143886,0.0012658298125128387,0.9591836734693877,0.06617647058823531,0.0\n",
            "35,CBOP11,Lajes Corporativas,72.5,0.0029504877009561598,0.06853146853146852,0.41463414634146345,0.29333333333333333,0.4310344827586207,0.4444444444444445,0.4084158415841584,0.5062955599734924,0.492845786963434,0.7734658765054483,0.0325848018828916,0.023279054402922512,0.46938775510204084,0.12708333333333333,0.015625\n",
            "36,CEOC11,Lajes Corporativas,68.53,0.008448290870439686,0.061538461538461535,0.3780487804878049,0.28444444444444444,0.367816091954023,0.3986928104575163,0.3155940594059406,0.607687210072896,0.5888712241653419,0.7396291340087937,0.040085148804765,0.022127038235832976,0.45918367346938777,0.0,0.015625\n",
            "38,CNES11,Lajes Corporativas,42.61,0.0008475779886287104,0.009790209790209791,0.10365853658536586,0.08444444444444445,0.16091954022988508,0.21568627450980393,0.11014851485148515,0.6577203445990722,0.6228934817170111,0.367042630472185,0.06959992694081477,0.02356775243033772,0.12244897959183673,0.6678921568627452,0.015625\n",
            "39,CPFF11,Híbrido,83.03,0.12362726727111958,0.11468531468531468,0.6036585365853658,0.4222222222222222,0.5517241379310345,0.4444444444444445,0.47029702970297027,0.630881378396289,0.6232114467408585,0.7474670235136686,0.08536709496105155,0.021233184727874346,0.673469387755102,0.06617647058823531,0.0\n",
            "40,CPTS11,Títulos e Val. Mob.,99.6,0.5225936802752567,0.14685314685314685,0.6341463414634146,0.45333333333333337,0.5862068965517242,0.5816993464052288,0.504950495049505,0.5622929092113984,0.5580286168521462,0.7621869623398967,0.4542147909907898,0.02450879696200845,0.7244897959183674,0.06617647058823531,0.0\n",
            "41,CRFF11,Títulos e Val. Mob.,73.68,0.0029550692035973957,0.06433566433566433,0.38414634146341464,0.28,0.3390804597701149,0.35947712418300654,0.37376237623762376,0.4476474486414845,0.4346581875993641,0.5666220607914356,0.01589104417819922,0.02393140090717803,0.45918367346938777,0.06617647058823531,0.0\n",
            "43,CVBI11,Títulos e Val. Mob.,104.81,0.10422460358548397,0.13986013986013984,0.573170731707317,0.42666666666666664,0.7011494252873564,0.6405228758169934,0.49752475247524747,0.6418157720344599,0.6324324324324324,0.7635251385968266,0.15425839797964946,0.02586900882194549,0.7244897959183674,0.06617647058823531,0.0\n",
            "44,CXCE11B,Outros,82.0,0.001882997585548108,0.12727272727272726,0.6646341463414634,0.47555555555555556,0.5747126436781609,0.5947712418300654,0.6336633663366337,0.30384360503644803,0.3090620031796502,0.4517300707321735,0.03530344548179514,0.020591941993904028,0.6836734693877551,0.0,0.015625\n",
            "45,CXCO11,Lajes Corporativas,102.4,0.016406360958267092,0.10069930069930069,0.4268292682926829,0.0,0.0,0.0,0.15717821782178218,0.6119946984758119,0.5955484896661367,0.7935385203593959,0.10141466766342203,0.025885664477373293,0.6938775510204082,0.06617647058823531,0.0\n",
            "46,CXRI11,Híbrido,92.15,0.004402824038228058,0.07552447552447553,0.3475609756097561,0.2622222222222222,0.3275862068965517,0.3790849673202614,0.3589108910891089,0.5881378396288933,0.5685214626391097,0.4691263620722615,0.03801453749794396,0.024386655488871242,0.6428571428571429,0.06617647058823531,0.0\n",
            "48,DEVA11,Títulos e Val. Mob.,108.5,0.2261292258634987,0.1916083916083916,0.7621951219512195,0.5377777777777778,0.0,0.0,0.6163366336633663,0.44068919814446655,0.44642289348171704,0.34601414643471606,0.16338098340573542,0.02551924005796168,0.7755102040816326,0.06617647058823531,0.0\n",
            "51,DRIT11B,Lajes Corporativas,116.0,5.4978031694835275e-05,0.03496503496503496,0.13414634146341464,0.11555555555555556,0.0,0.0,0.12376237623762376,0.4317428760768721,0.4073131955484897,0.4800229401644045,0.014999652216075738,0.034527173701830456,0.5510204081632653,0.29068627450980394,0.09375\n",
            "52,EDFO11B,Lajes Corporativas,251.33,4.1233523771126456e-05,0.1902097902097902,0.32926829268292684,0.24000000000000002,0.32183908045977017,0.3725490196078431,0.34529702970297027,0.6739562624254474,0.6505564387917329,0.7759510609826036,0.012303615079766387,0.05742869991505616,0.8571428571428571,0.08529411764705883,0.015625\n",
            "53,EDGA11,Lajes Corporativas,26.77,0.005021326894794955,0.013986013986013986,0.23170731707317074,0.2222222222222222,0.0,0.0,0.23886138613861385,0.6302186878727634,0.6031796502384738,0.48652265341234935,0.07731082133372104,0.019959027087647612,0.0,0.5669117647058823,0.015625\n",
            "55,EURO11,Logística,208.8,0.0006872253961854409,0.1888111888111888,0.39634146341463417,0.2888888888888889,0.4482758620689655,0.3725490196078431,0.3935643564356436,0.6047051027170312,0.5869634340222575,0.6968074937870387,0.027485951284553677,0.07676313992416126,0.40816326530612246,0.0,0.09375\n",
            "56,EVBI11,Híbrido,101.99,0.00026572715319170384,0.08951048951048951,0.38414634146341464,0.27555555555555555,0.0,0.0,0.30074257425742573,0.5480450629555997,0.531637519872814,0.8092142993691455,0.026744932066204728,0.025261077398830774,0.7142857142857143,0.0,0.03125\n",
            "57,FAED11,Outros,150.0,0.002185376759869702,0.15524475524475526,0.42073170731707316,0.3022222222222222,0.37931034482758624,0.4117647058823529,0.33663366336633666,0.40523525513585157,0.3955484896661367,0.42439304148346385,0.03490570914228945,0.05745368339819786,0.3673469387755102,0.0,0.046875\n",
            "59,FATN11,Híbrido,102.32,0.0002336566347030499,0.09370629370629371,0.39634146341463417,0.29333333333333333,0.3563218390804598,0.36601307189542487,0.32054455445544555,0.7882703777335984,0.7643879173290938,0.8185815331676544,0.01417479585474343,0.025932855501085393,0.6938775510204082,0.0,0.109375\n",
            "60,FCFL11,Outros,112.35,0.008429964859874742,0.08671328671328671,0.34146341463414637,0.24444444444444446,0.2931034482758621,0.3333333333333333,0.26732673267326734,0.6467859509609013,0.6251192368839427,0.7314089084305103,0.09081697755469263,0.026235433241357103,0.7857142857142857,0.0,0.015625\n",
            "61,FEXC11,Títulos e Val. Mob.,97.85,0.009153842277190074,0.13706293706293704,0.6341463414634146,0.43555555555555553,0.4655172413793104,0.47058823529411764,0.4603960396039604,0.5990722332670644,0.5936406995230524,0.7872299751481552,0.08431900806322357,0.024639266262859554,0.6938775510204082,0.06617647058823531,0.0\n",
            "62,FIGS11,Shoppings,59.66,0.019150681040367618,0.020979020979020976,0.1524390243902439,0.08888888888888889,0.2011494252873563,0.0,0.18193069306930693,0.6500994035785289,0.6181240063593004,0.532785318294781,0.06922199986375166,0.024314480982017446,0.29591836734693877,0.14950980392156862,0.03125\n",
            "63,FIIB11,Híbrido,500.61,0.006130050533974133,0.4615384615384615,0.4024390243902439,0.28444444444444444,0.3390804597701149,0.33986928104575165,0.3069306930693069,0.6494367130550034,0.6305246422893481,0.6767348499330911,0.07799005388672144,0.12086176361183439,0.8061224489795918,0.048161764705882355,0.015625\n",
            "64,FIIP11B,Logística,194.01,0.006872253961854409,0.15664335664335666,0.3353658536585366,0.2622222222222222,0.3333333333333333,0.5816993464052288,0.3626237623762376,0.6573889993373094,0.6349761526232115,0.7522462244312751,0.04578893162834122,0.05173246575874838,0.673469387755102,0.0,0.109375\n",
            "66,FIVN11,Shoppings,2.97,0.1218496442463199,0.0,0.0,0.0,0.0,0.0,0.0,0.6388336646785951,0.5993640699523053,0.723188682852227,0.016045037488787158,0.0,0.09183673469387756,0.6862745098039216,0.015625\n",
            "68,FLRP11,Shoppings,1312.0,2.7489015847417637e-05,0.5594405594405594,0.18292682926829268,0.17333333333333334,0.23563218390804597,0.0,0.2079207920792079,0.6971504307488404,0.6651828298887122,0.7748040527623781,0.02737775026996486,0.4593740804690232,0.45918367346938777,0.02524509803921569,0.015625\n",
            "70,FPAB11,Lajes Corporativas,258.8,3.207051848865391e-05,0.1678321678321678,0.27439024390243905,0.19555555555555557,0.25862068965517243,0.33986928104575165,0.26485148514851486,0.3522200132538105,0.33767885532591413,0.5652838845345058,0.08661983122830087,0.12249956972890146,0.24489795918367346,0.46985294117647064,0.015625\n",
            "71,FVPQ11,Shoppings,136.53,0.0016676669614100032,0.19580419580419578,0.6158536585365854,0.21333333333333332,0.1839080459770115,0.28104575163398693,0.17079207920792078,0.5357852882703777,0.531637519872814,0.6893519403555725,0.14213082619125403,0.05256524853013841,0.3673469387755102,0.06495098039215687,0.015625\n",
            "72,GALG11,Híbrido,109.98,0.22986773201874752,0.11748251748251748,0.4634146341463415,0.3333333333333333,0.42528735632183906,0.0,0.4603960396039604,0.5894632206759445,0.5758346581875994,0.7832154463773656,0.1470673416677811,0.0262021219305015,0.7653061224489796,0.0,0.09375\n",
            "73,GCFF11,Títulos e Val. Mob.,95.31,0.010074724308078563,0.13006993006993006,0.573170731707317,0.41333333333333333,0.48275862068965514,0.0,0.45544554455445546,0.6590457256461233,0.648966613672496,0.8895048747849359,0.007691728319415889,0.024914084577418262,0.6632653061224489,0.06617647058823531,0.0\n",
            "74,GGRC11,Logística,120.0,0.051835120882947186,0.09790209790209789,0.35365853658536583,0.24444444444444446,0.3103448275862069,0.33986928104575165,0.34282178217821785,0.5897945659377071,0.5704292527821939,0.4859491493022366,0.25046265604039886,0.0326506365236316,0.6326530612244898,0.0,0.234375\n",
            "76,GTWR11,Lajes Corporativas,106.34,0.044472646138480496,0.09370629370629371,0.38414634146341464,0.27555555555555555,0.3563218390804598,0.39215686274509803,0.3873762376237624,0.5937707090788602,0.5758346581875994,0.7575989294589943,0.31376517026233947,0.026063324801936495,0.7346938775510204,0.0,0.015625\n",
            "77,HAAA11,Lajes Corporativas,101.0,0.0012049351946451397,0.07272727272727272,0.3170731707317073,0.22666666666666668,0.0,0.0,0.1905940594059406,0.6192842942345925,0.5968203497615263,0.7413496463391321,0.06781260664524741,0.02511395244255187,0.7142857142857143,0.03676470588235294,0.015625\n",
            "78,HABT11,Títulos e Val. Mob.,124.66,0.09226688169185729,0.2517482517482517,0.8658536585365854,0.6133333333333333,0.7068965517241379,0.7254901960784315,0.7623762376237624,0.7571239231278993,0.7596184419713831,0.857579812655324,0.14074688266061997,0.025999478122796595,0.9183673469387755,0.06617647058823531,0.0\n",
            "79,HBRH11,Híbrido,94.0,0.007577805368604795,0.09230769230769231,0.4268292682926829,0.2977777777777778,0.0,0.0,0.25,0.5321404903909875,0.5186009538950715,0.6465303001338176,0.06306005127053432,0.028442307585540668,0.5306122448979592,0.06617647058823531,0.046875\n",
            "82,HCTR11,Outros,138.76,0.308971956622333,0.2797202797202797,0.8597560975609756,0.6044444444444445,0.8505747126436781,0.8954248366013072,0.6806930693069307,0.47117296222664024,0.48108108108108105,0.6597208946664117,0.3091980033212835,0.030474297547732333,0.8673469387755102,0.06617647058823531,0.0\n",
            "83,HFOF11,Títulos e Val. Mob.,98.41,0.06765504950313604,0.0839160839160839,0.36585365853658536,0.2622222222222222,0.3390804597701149,0.3725490196078431,0.349009900990099,0.6434724983432738,0.6228934817170111,0.6960428216402217,0.5379327073136375,0.02476973556371066,0.6938775510204082,0.06617647058823531,0.0\n",
            "84,HGBS11,Shoppings,199.78,0.04077079200436159,0.048951048951048945,0.10365853658536586,0.08444444444444445,0.15517241379310345,0.1437908496732026,0.16336633663366337,0.5828363154406891,0.551033386327504,0.6061938443892181,0.5707475759506502,0.05908038574497971,0.5816326530612245,0.09767156862745098,0.265625\n",
            "85,HGCR11,Títulos e Val. Mob.,105.31,0.49840334632952915,0.1048951048951049,0.4268292682926829,0.29333333333333333,0.3735632183908046,0.36601307189542487,0.39232673267326734,0.5798542080848244,0.5647058823529412,0.8566239724718028,0.3361805135600098,0.02715427023245743,0.6836734693877551,0.06617647058823531,0.0\n",
            "86,HGFF11,Títulos e Val. Mob.,85.05,0.02357641259180186,0.06993006993006992,0.35365853658536583,0.26666666666666666,0.3735632183908046,0.3986928104575163,0.36386138613861385,0.50960901259112,0.4931637519872814,0.5490346014146434,0.07123957536074053,0.02494184400313126,0.5510204081632653,0.06617647058823531,0.0\n",
            "87,HGIC11,Títulos e Val. Mob.,106.38,6.414103697730782e-05,0.10909090909090909,0.4451219512195122,0.2222222222222222,0.0,0.0,0.18564356435643564,0.6829025844930418,0.6648648648648648,0.8877843624545975,0.0026245883762509997,0.02672955101904852,0.7040816326530612,0.06617647058823531,0.0\n",
            "88,HGLG11,Logística,169.9,0.14425319216196528,0.13986013986013984,0.3597560975609756,0.21777777777777776,0.3620689655172414,0.3464052287581699,0.2908415841584158,0.5540092776673294,0.5360890302066773,0.6583827184094818,0.7031893333613134,0.03883543657248819,0.8367346938775511,0.18627450980392157,0.265625\n",
            "89,HGPO11,Lajes Corporativas,222.27,0.0059559534336071545,0.1636363636363636,0.3231707317073171,0.21333333333333332,0.26436781609195403,0.2875816993464052,0.2871287128712871,0.6613651424784626,0.6378378378378379,0.6704263047218505,0.10382752120731491,0.06576763139924162,0.5816326530612245,0.0,0.03125\n",
            "90,HGRE11,Lajes Corporativas,126.6,0.1688970948691752,0.09650349650349649,0.32926829268292684,0.2222222222222222,0.28735632183908044,0.3071895424836601,0.29826732673267325,0.41981444665341294,0.40508744038155803,0.4911106862932517,0.5193545464319829,0.04505909981734298,0.41836734693877553,0.28700980392156866,0.328125\n",
            "91,HGRU11,Híbrido,121.94,0.1761862655713821,0.09790209790209789,0.35365853658536583,0.2488888888888889,0.3160919540229885,0.35294117647058826,0.34034653465346537,0.5791915175612989,0.5602543720190779,0.6459567960237048,0.5639182827587527,0.030829618196858744,0.7040816326530612,0.0,0.25\n",
            "92,HLOG11,Logística,113.0,0.0037522506631725073,0.08811188811188811,0.3353658536585366,0.24000000000000002,0.3160919540229885,0.35294117647058826,0.3341584158415842,0.5669317428760768,0.5475357710651828,0.6874402599885299,0.1313154616575284,0.031265441180552855,0.6224489795918368,0.20833333333333334,0.046875\n",
            "93,HOSI11,Híbrido,80.5,0.007229611167870838,0.07552447552447553,0.4085365853658537,0.3022222222222222,0.37931034482758624,0.3202614379084967,0.4183168316831683,0.6640159045725648,0.6448330683624801,0.6801758745937678,0.01297232243625841,0.023753740582614823,0.5408163265306123,0.06617647058823531,0.03125\n",
            "94,HPDP11,Shoppings,82.48,3.665202112989018e-05,0.011188811188811189,0.06097560975609757,0.026666666666666665,0.1149425287356322,0.0,0.09777227722772278,0.6189529489728297,0.583147853736089,0.6553240298222137,0.0754547615771008,0.026068876687079096,0.4897959183673469,0.04044117647058824,0.015625\n",
            "96,HREC11,Títulos e Val. Mob.,101.48,0.00026114565055046756,0.14545454545454545,0.6280487804878049,0.38666666666666666,0.32183908045977017,0.0,0.41336633663366334,0.5579854208084825,0.553577106518283,0.7505257121009367,0.022177371015023546,0.025294388709686373,0.7142857142857143,0.06617647058823531,0.0\n",
            "97,HSAF11,Títulos e Val. Mob.,101.95,0.011586620179686534,0.15384615384615385,0.6585365853658537,0.48444444444444446,0.5632183908045977,0.0,0.6361386138613861,0.6653412856196157,0.6594594594594595,0.9906327662014911,0.022385642166073944,0.02550536034510518,0.7040816326530612,0.06617647058823531,0.0\n",
            "98,HSLG11,Logística,105.49,0.040532553867017304,0.0811188811188811,0.3353658536585366,0.23555555555555557,0.0,0.0,0.3254950495049505,0.568257123923128,0.5488076311605723,0.6400305868858726,0.3459606404465888,0.027318050844164134,0.673469387755102,0.056372549019607844,0.078125\n",
            "99,HSML11,Shoppings,90.0,0.11050126220397766,0.048951048951048945,0.23170731707317074,0.12000000000000001,0.21839080459770116,0.24183006535947713,0.21782178217821782,0.6845593108018555,0.6556438791732909,0.623590135729306,0.3996214820137188,0.02516669535140657,0.5918367346938775,0.06127450980392157,0.078125\n",
            "102,HUSC11,Outros,131.0,0.00043066124827620964,0.1020979020979021,0.32926829268292684,0.24000000000000002,0.2931034482758621,0.3202614379084967,0.3180693069306931,0.6282306163021869,0.6063593004769475,0.5203593959090039,0.026033278614897706,0.03414964551213364,0.6836734693877551,0.06617647058823531,0.0\n",
            "103,IBFF11,Títulos e Val. Mob.,68.79,0.011169703439334032,0.048951048951048945,0.3048780487804878,0.23555555555555557,0.2988505747126437,0.35294117647058826,0.2561881188118812,0.5182239893969517,0.49888712241653416,0.5524756260753202,0.014078403456868492,0.02193549819841327,0.46938775510204084,0.06617647058823531,0.0\n",
            "104,IFID11,Títulos e Val. Mob.,94.42,0.0008338334807050016,0.12307692307692307,0.573170731707317,0.0,0.0,0.0,0.29455445544554454,0.5271703114645461,0.5208267090620032,0.6515006690881284,0.017726986379741815,0.02454210827286405,0.6632653061224489,0.06617647058823531,0.0\n",
            "105,IFIE11,Títulos e Val. Mob.,93.99,0.0025381524632448953,0.05734265734265734,0.25609756097560976,0.19555555555555557,0.24137931034482757,0.0,0.21658415841584158,0.5636182902584493,0.5405405405405405,0.8162875167272031,0.020172202021742837,0.022965372892365603,0.7244897959183674,0.06617647058823531,0.0\n",
            "106,IRDM11,Títulos e Val. Mob.,131.39,0.23386280232190554,0.1622377622377622,0.5,0.38666666666666666,0.5517241379310345,0.5816993464052288,0.4368811881188119,0.6941683233929756,0.6788553259141494,0.7245268591091569,0.5673940178418305,0.025649709358812785,1.0,0.06617647058823531,0.0\n",
            "107,JFLL11,Residencial,94.02,0.0034911050126220397,0.08671328671328671,0.39634146341463417,0.2888888888888889,0.0,0.0,0.33292079207920794,0.5781974817760107,0.5615262321144674,0.6717644809787803,0.036920008258089665,0.024925188347703464,0.6428571428571429,0.36764705882352944,0.03125\n",
            "108,JPPA11,Títulos e Val. Mob.,99.6,0.0014156843161420084,0.14825174825174825,0.6463414634146342,0.4666666666666667,0.5229885057471264,0.0,0.5891089108910891,0.5964214711729622,0.5917329093799683,0.8269929267826419,0.01543810070068615,0.026812829296187522,0.6326530612244898,0.06617647058823531,0.0\n",
            "109,JRDM11,Shoppings,68.49,0.002551896971168604,0.039160839160839164,0.25,0.2,0.19540229885057472,0.13071895424836602,0.16831683168316833,0.6915175612988734,0.6632750397456278,0.8359778245077422,0.05646271165475246,0.02231580233068138,0.4489795918367347,0.046200980392156865,0.015625\n",
            "110,JSRE11,Híbrido,90.05,0.09099780546023485,0.07412587412587412,0.35365853658536583,0.2533333333333333,0.32183908045977017,0.35294117647058826,0.34282178217821785,0.5089463220675945,0.49252782193958666,0.6088701969030778,0.6131869119958815,0.029638738833771005,0.45918367346938777,0.15808823529411767,0.078125\n",
            "111,KFOF11,Títulos e Val. Mob.,93.31,0.024932537373607795,0.07692307692307693,0.36585365853658536,0.2577777777777778,0.3103448275862069,0.3333333333333333,0.34405940594059403,0.5374420145791916,0.5205087440381558,0.5832536799847065,0.12297833351249865,0.027229220681882535,0.5612244897959183,0.06617647058823531,0.0\n",
            "113,KISU11,Títulos e Val. Mob.,115.68,0.03231791963128067,0.08951048951048951,0.3231707317073171,0.2622222222222222,0.0,0.0,0.3725247524752475,0.0,0.0,1.0,0.017975757085761532,0.024364447948300845,0.8979591836734694,0.06617647058823531,0.0\n",
            "114,KNCR11,Títulos e Val. Mob.,91.92,0.15588104586542295,0.048951048951048945,0.23170731707317074,0.15555555555555556,0.20689655172413793,0.21568627450980393,0.2042079207920792,0.5188866799204771,0.4960254372019078,0.803096922194609,1.0,0.025405426412538377,0.6020408163265306,0.06617647058823531,0.0\n",
            "115,KNHY11,Títulos e Val. Mob.,111.05,0.030031749813303768,0.15244755244755245,0.5914634146341463,0.4444444444444444,0.6149425287356323,0.5424836601307189,0.6633663366336634,0.5742213386348576,0.5675675675675675,0.8197285413878799,0.2842491702844906,0.026540786924200113,0.7551020408163265,0.06617647058823531,0.0\n",
            "118,KNRI11,Híbrido,141.54,0.19859439498966872,0.09650349650349649,0.2926829268292683,0.20444444444444446,0.25287356321839083,0.2745098039215686,0.2797029702970297,0.5182239893969517,0.4982511923688394,0.5700630854521124,0.9805138875178081,0.041422615048939876,0.5816326530612245,0.0672794117647059,0.3125\n",
            "119,KNSC11,Títulos e Val. Mob.,101.57,0.23138420939299673,0.13986013986013984,0.5853658536585366,0.4,0.5574712643678161,0.0,0.6138613861386139,0.7054340622929092,0.6944356120826709,0.8292869432230929,0.06463882283618122,0.02461705872228915,0.7346938775510204,0.06617647058823531,0.0\n",
            "120,LASC11,Shoppings,94.76,0.0002336566347030499,0.033566433566433566,0.15853658536585366,0.14666666666666667,0.26436781609195403,0.22875816993464052,0.25123762376237624,0.6418157720344599,0.610174880763116,0.6457656279870005,0.06691759513342597,0.026793397698188417,0.5918367346938775,0.0428921568627451,0.046875\n",
            "122,LGCP11,Logística,93.4,0.009717367102062134,0.07552447552447553,0.3475609756097561,0.2622222222222222,0.2988505747126437,0.3333333333333333,0.34158415841584155,0.617296222664016,0.5971383147853736,0.6851462435480786,0.0694524706884457,0.02552756788567558,0.6122448979591837,0.0,0.078125\n",
            "123,LUGG11,Residencial,95.0,0.0009437895440946722,0.07552447552447553,0.3475609756097561,0.24000000000000002,0.28735632183908044,0.3071895424836601,0.3180693069306931,0.639165009940358,0.617806041335453,0.6746320015293442,0.024804548400119978,0.02847006701125367,0.5408163265306123,0.033088235294117654,0.0625\n",
            "124,LVBI11,Logística,105.29,0.1132089302649483,0.07832167832167833,0.3231707317073171,0.2222222222222222,0.25862068965517243,0.29411764705882354,0.2339108910891089,0.449635520212061,0.43370429252782194,0.5522844580386159,0.3370540375038651,0.028706022129814178,0.6224489795918368,0.012254901960784315,0.125\n",
            "125,MALL11,Shoppings,97.69,0.07733576458406828,0.06293706293706293,0.2804878048780488,0.2,0.2988505747126437,0.2875816993464052,0.3118811881188119,0.5414181577203446,0.5201907790143083,0.6165169183712483,0.20505856870659492,0.027145942404743533,0.6020408163265306,0.03676470588235294,0.109375\n",
            "127,MBRF11,Outros,875.1,0.00026114565055046756,1.0,0.5,0.3733333333333333,0.0,0.0,0.4900990099009901,0.9937044400265077,0.9688394276629569,0.5524756260753202,0.029347627162484794,0.3147474725042888,0.4387755102040816,0.0,0.03125\n",
            "128,MCCI11,Títulos e Val. Mob.,102.4,0.13015590853488126,0.09790209790209789,0.42073170731707316,0.3022222222222222,0.3735632183908046,0.40522875816993464,0.33663366336633666,0.6259111994698476,0.6085850556438791,0.7556872490919518,0.22963913584276915,0.02563582964595628,0.7040816326530612,0.06617647058823531,0.0\n",
            "129,MFAI11,Híbrido,98.7,0.0028771836586963793,0.12447552447552447,0.5426829268292683,0.40444444444444444,0.4540229885057471,0.0,0.48886138613861385,0.5603048376408217,0.5516693163751987,0.4976103995411966,0.006725257717701195,0.024644818148002155,0.7040816326530612,0.06617647058823531,0.0\n",
            "130,MFII11,Híbrido,113.9,0.036858188748745815,0.12727272727272726,0.48170731707317077,0.3466666666666667,0.4425287356321839,0.5098039215686274,0.47896039603960394,0.47382372432074227,0.46486486486486484,0.5278149493404702,0.12277844109318155,0.031171059133128655,0.6326530612244898,0.06617647058823531,0.140625\n",
            "131,MGCR11,Títulos e Val. Mob.,99.3,0.00399507030315803,0.12587412587412586,0.5487804878048781,0.40444444444444444,0.4655172413793104,0.0,0.42945544554455445,0.5805168986083499,0.5713831478537361,0.8722997514815521,0.034381462245573174,0.02449769319172325,0.7142857142857143,0.06617647058823531,0.0\n",
            "132,MGFF11,Títulos e Val. Mob.,83.0,0.12997722993187305,0.0839160839160839,0.4268292682926829,0.3244444444444444,0.4022988505747126,0.41830065359477125,0.36386138613861385,0.5705765407554673,0.5558028616852146,0.7495698719174154,0.20203267833525246,0.02200489676269577,0.6326530612244898,0.06617647058823531,0.0\n",
            "133,MGHT11,Hotel,98.37,9.621155546596172e-05,0.07132867132867132,0.3170731707317073,0.26666666666666666,0.3505747126436782,0.39215686274509803,0.3032178217821782,0.6832339297548046,0.6588235294117647,0.7468935194035558,0.026982447401281796,0.02639643791049251,0.6326530612244898,0.06617647058823531,0.0\n",
            "134,MORE11,Títulos e Val. Mob.,87.96,0.025436502664143785,0.08671328671328671,0.42073170731707316,0.26666666666666666,0.37931034482758624,0.43790849673202614,0.2797029702970297,0.38170974155069587,0.37297297297297294,0.388835786656471,0.05935597485133432,0.025777402717092588,0.5510204081632653,0.06617647058823531,0.0\n",
            "137,NCHB11,Títulos e Val. Mob.,94.86,0.02657729682181162,0.09090909090909091,0.4024390243902439,0.3377777777777778,0.5574712643678161,0.36601307189542487,0.4282178217821782,0.4907223326706429,0.47758346581875993,0.657044542152552,0.03418502751152515,0.02399247164374663,0.6938775510204082,0.06617647058823531,0.0\n",
            "138,NEWL11,Híbrido,105.5,0.007816043505949081,0.12587412587412586,0.5182926829268293,0.38222222222222224,0.4942528735632184,0.5032679738562091,0.5297029702970297,0.6663353214049039,0.653100158982512,0.8040527623781304,0.04008702584840412,0.02873655749809848,0.6326530612244898,0.0,0.015625\n",
            "139,NEWU11,Lajes Corporativas,36.48,0.000403172232428792,0.0,0.0,0.0,0.05172413793103448,0.9084967320261437,0.07549504950495049,0.5049701789264415,0.47090620031796504,0.1187153507933473,0.011466623878198213,0.01575902597727058,0.23469387755102042,0.7830882352941176,0.046875\n",
            "140,NSLU11,Hospital,244.1,0.0039584182820281396,0.2517482517482517,0.43902439024390244,0.3111111111111111,0.37931034482758624,0.5098039215686274,0.33910891089108913,0.4847581179589132,0.473449920508744,0.6042821640221755,0.06261332558364323,0.05721772827963735,0.826530612244898,0.0,0.015625\n",
            "141,NVHO11,Hospital,14.02,0.0013881953002945907,0.009790209790209791,0.29878048780487804,0.20888888888888887,0.3103448275862069,0.33986928104575165,0.2685643564356436,0.5062955599734924,0.48712241653418126,0.1320971133626457,0.13271686202385352,0.0015212165290724464,0.8061224489795918,0.06617647058823531,0.015625\n",
            "143,ONEF11,Lajes Corporativas,140.65,0.0073670562471079264,0.08951048951048951,0.2804878048780488,0.2,0.0,0.0,0.275990099009901,0.6673293571901922,0.6413354531001589,0.6801758745937678,0.03721943256729834,0.04264680572288321,0.5510204081632653,0.0,0.015625\n",
            "145,OUFF11,Títulos e Val. Mob.,83.0,0.018935350416229516,0.09790209790209789,0.5060975609756098,0.35111111111111115,0.4597701149425288,0.45751633986928103,0.37623762376237624,0.6332007952286283,0.6203497615262321,0.7147772892372395,0.04136697878018357,0.0229015262132257,0.6020408163265306,0.06617647058823531,0.0\n",
            "146,OUJP11,Títulos e Val. Mob.,101.5,0.03133747806605611,0.09090909090909091,0.3902439024390244,0.27555555555555555,0.41379310344827586,0.40522875816993464,0.40222772277227725,0.5344599072233268,0.5186009538950715,0.6790288663735422,0.08658664444206125,0.02676563827247542,0.6530612244897959,0.06617647058823531,0.0\n",
            "147,OULG11,Outros,69.67,0.009025560203235456,0.06993006993006992,0.45121951219512196,0.31555555555555553,0.40804597701149425,0.4509803921568627,0.34282178217821785,0.4204771371769384,0.4117647058823529,0.5364175109921621,0.05967841162388829,0.02410628528916994,0.40816326530612246,0.0,0.03125\n",
            "148,OURE11,Títulos e Val. Mob.,88.13,0.0059055569045535555,0.10769230769230768,0.5365853658536586,0.35555555555555557,0.48275862068965514,0.49019607843137253,0.37623762376237624,0.48740888005301525,0.4807631160572337,0.623590135729306,0.02075224466195717,0.02576074706166479,0.5510204081632653,0.06617647058823531,0.0\n",
            "150,PATC11,Lajes Corporativas,67.76,0.03333959472027636,0.044755244755244755,0.2865853658536585,0.20444444444444446,0.23563218390804597,0.24183006535947713,0.25742574257425743,0.5788601722995362,0.5564387917329093,0.3846300898489772,0.07766565293156848,0.022171453316973778,0.4489795918367347,0.20833333333333334,0.09375\n",
            "151,PATL11,Híbrido,88.06,0.12518955967178116,0.07972027972027972,0.38414634146341464,0.27555555555555555,0.3505747126436782,0.0,0.3787128712871287,0.5321404903909875,0.5166931637519873,0.7056012234754349,0.12449697974211746,0.02487799732399136,0.5816326530612245,0.0857843137254902,0.03125\n",
            "152,PLCR11,Híbrido,93.55,0.030086727844998603,0.13286713286713286,0.6158536585365854,0.39555555555555555,0.5057471264367817,0.45751633986928103,0.5470297029702971,0.5381047051027171,0.5338632750397456,0.7914356719556489,0.052716280977065426,0.02517502317912047,0.6326530612244898,0.06617647058823531,0.0\n",
            "153,PLOG11,Logística,94.32,0.00039859072978755573,0.0951048951048951,0.43902439024390244,0.0,0.0,0.0,0.1745049504950495,0.5387673956262427,0.5255961844197138,0.6916459567960237,0.017789641328714956,0.02456709175600575,0.6632653061224489,0.0,0.015625\n",
            "154,PLRI11,Títulos e Val. Mob.,45.84,0.0004856392799710449,0.032167832167832165,0.31097560975609756,0.19555555555555557,0.3045977011494253,0.3464052287581699,0.32054455445544555,0.6686547382372432,0.6441971383147853,0.7359969413114127,0.012823925489969005,0.013343955940239507,0.5,0.06617647058823531,0.0\n",
            "155,PORD11,Títulos e Val. Mob.,101.68,0.025821348886007633,0.13986013986013984,0.5914634146341463,0.39555555555555555,0.5,0.5490196078431372,0.5272277227722773,0.6229290921139828,0.6146263910969794,0.7969795450200725,0.05122509991331105,0.026238209183928402,0.673469387755102,0.06617647058823531,0.0\n",
            "156,PQAG11,Logística,63.39,0.00034361269809272043,0.050349650349650346,0.34146341463414637,0.24444444444444446,0.2988505747126437,0.0,0.327970297029703,0.5543406229290921,0.5357710651828299,0.586503536608679,0.19711237201112153,0.013182951271104103,0.8469387755102041,0.0,0.015625\n",
            "157,PQDP11,Shoppings,2853.0,6.872253961854409e-05,0.2629370629370629,0.042682926829268296,0.08,0.15517241379310345,0.0,0.13242574257425743,0.6146454605699139,0.5783783783783784,0.7566430892754731,0.22308282285846592,1.0,0.45918367346938777,0.05147058823529412,0.015625\n",
            "158,PRSV11,Lajes Corporativas,142.0,0.00020616761885563226,0.22657342657342658,0.25609756097560976,0.22666666666666668,0.27586206896551724,0.32679738562091504,0.551980198019802,0.8144466534128563,0.7818759936406996,0.5081246415599311,0.011209941379678411,0.06392162958932705,0.2653061224489796,0.5012254901960784,0.03125\n",
            "159,PVBI11,Lajes Corporativas,95.3,0.12539114578799554,0.07552447552447553,0.3475609756097561,0.23555555555555557,0.2988505747126437,0.0,0.2623762376237624,0.5821736249171637,0.562798092209857,0.7113362645765627,0.24302556939946585,0.02485856572599226,0.6632653061224489,0.0,0.046875\n",
            "160,QAGR11,Outros,53.74,0.07817876107005575,0.05314685314685314,0.4329268292682927,0.3244444444444444,0.38505747126436785,0.35294117647058826,0.3774752475247525,0.5719019218025183,0.5573926868044515,0.7549225769451346,0.07587170103547056,0.014326639610479738,0.5918367346938775,0.06617647058823531,0.1875\n",
            "161,QIFF11,Títulos e Val. Mob.,101.18,2.2907513206181364e-05,0.1020979020979021,0.4268292682926829,0.31555555555555553,0.4310344827586207,0.0,0.4443069306930693,0.6355202120609675,0.6184419713831479,0.8747849359587077,0.003035442539544214,0.02551646411539038,0.6938775510204082,0.06617647058823531,0.0\n",
            "164,RBCO11,Lajes Corporativas,57.5,0.009776926636398207,0.05454545454545454,0.4085365853658537,0.27555555555555555,0.3620689655172414,0.3790849673202614,0.3935643564356436,0.5198807157057654,0.5058823529411764,0.17281590518065376,0.09906558879555218,0.026293728035354402,0.23469387755102042,0.3921568627450981,0.0625\n",
            "165,RBDS11,Residencial,20.85,0.00014660808451956073,0.0,0.0,0.0,0.0,0.0,0.0,0.6388336646785951,0.5993640699523053,0.723188682852227,0.0,0.005005024456054053,0.5102040816326531,0.06617647058823531,0.0\n",
            "166,RBED11,Outros,146.63,0.003944673774104431,0.14405594405594405,0.4268292682926829,0.31555555555555553,0.396551724137931,0.42483660130718953,0.42945544554455445,0.7564612326043738,0.7351351351351351,0.7075129038424774,0.07825287250227306,0.039826448070442326,0.6530612244897959,0.0,0.078125\n",
            "167,RBFF11,Títulos e Val. Mob.,68.0,0.030943468838909787,0.06993006993006992,0.4451219512195122,0.3288888888888889,0.396551724137931,0.4640522875816993,0.4183168316831683,0.6931742876076873,0.6750397456279809,0.630089848977251,0.07052657543847546,0.018407275190290864,0.6020408163265306,0.06617647058823531,0.0\n",
            "168,RBGS11,Shoppings,37.93,0.005841415867576248,0.002797202797202797,0.036585365853658534,0.04,0.0,0.0,0.2376237623762376,0.559973492379059,0.5255961844197138,0.5822978398011852,0.024782016837283125,0.023431731244344015,0.08163265306122448,0.1409313725490196,0.015625\n",
            "170,RBIV11,Títulos e Val. Mob.,83.48,0.013872789997663434,0.09790209790209789,0.5121951219512195,0.3644444444444444,0.4597701149425288,0.4509803921568627,0.5148514851485149,0.5069582504970179,0.4985691573926868,0.8159051806537947,0.025976948191237026,0.026002254065367894,0.5,0.06617647058823531,0.0\n",
            "173,RBRF11,Títulos e Val. Mob.,89.16,0.2146342357366369,0.0839160839160839,0.39634146341463417,0.2888888888888889,0.4022988505747126,0.43137254901960786,0.3155940594059406,0.5828363154406891,0.5659777424483307,0.6264576562798699,0.3264236107540184,0.023612167511478523,0.6428571428571429,0.06617647058823531,0.0\n",
            "174,RBRL11,Logística,106.7,0.48458095286091935,0.08951048951048951,0.3597560975609756,0.2577777777777778,0.3390804597701149,0.39215686274509803,0.28465346534653463,0.6915175612988734,0.6689984101748808,0.7858917988912253,0.1570879894942031,0.027839928047568553,0.673469387755102,0.0,0.109375\n",
            "175,RBRP11,Outros,85.5,0.12179924771726632,0.04195804195804195,0.20121951219512196,0.21333333333333332,0.3045977011494253,0.35947712418300654,0.24504950495049505,0.606361829025845,0.5786963434022258,0.6184285987382908,0.2756356835816025,0.022310250445538783,0.6530612244897959,0.12254901960784315,0.234375\n",
            "176,RBRR11,Títulos e Val. Mob.,99.9,0.1019430152701483,0.1020979020979021,0.4268292682926829,0.3022222222222222,0.367816091954023,0.3790849673202614,0.33044554455445546,0.7359178263750829,0.7157392686804451,0.9124450391894474,0.19684670028788573,0.025702452267667486,0.673469387755102,0.06617647058823531,0.0\n",
            "177,RBRS11,Híbrido,74.8,0.005497803169483527,0.055944055944055944,0.32926829268292684,0.23111111111111113,0.0,0.0,0.3032178217821782,0.6242544731610338,0.6022257551669317,0.38138023322500475,0.025491376987201924,0.02496405154370166,0.4387755102040816,0.06617647058823531,0.0\n",
            "178,RBRY11,Títulos e Val. Mob.,104.49,0.027576064397601126,0.09790209790209789,0.4085365853658537,0.3022222222222222,0.41954022988505746,0.43790849673202614,0.34034653465346537,0.5994035785288271,0.5825119236883942,0.7310265723571018,0.09136752412002826,0.027046008472176725,0.673469387755102,0.06617647058823531,0.0\n",
            "180,RBVO11,Outros,12.14,0.003775158176378689,0.002797202797202797,0.10975609756097561,0.05333333333333333,0.15517241379310345,0.24836601307189543,0.043316831683168314,0.21968190854870778,0.2019077901430843,0.3305295354616708,0.002221868587256799,0.004380437377511534,0.20408163265306123,0.06617647058823531,0.0\n",
            "181,RCRB11,Lajes Corporativas,151.98,0.027136240144042444,0.11188811188811189,0.31097560975609756,0.22666666666666668,0.28735632183908044,0.3464052287581699,0.3094059405940594,0.6795891318754143,0.6550079491255961,0.6622060791435672,0.1881057144253879,0.052712373486417316,0.4387755102040816,0.1715686274509804,0.15625\n",
            "182,RDPD11,Títulos e Val. Mob.,84.0,0.0066844123535637215,0.05734265734265734,0.29878048780487804,0.2533333333333333,0.3045977011494253,0.3137254901960784,0.3056930693069307,0.47912524850894633,0.460731319554849,0.7587459376792199,0.02693083529294622,0.02555810325395988,0.5204081632653061,0.06617647058823531,0.0\n",
            "183,RECR11,Títulos e Val. Mob.,101.55,0.44231200949287347,0.15384615384615385,0.6097560975609756,0.41333333333333333,0.6436781609195403,0.673202614379085,0.5037128712871287,0.6666666666666667,0.65818759936407,0.7665838271840948,0.3518402395340841,0.024522676674864952,0.7448979591836735,0.06617647058823531,0.0\n",
            "184,RECT11,Híbrido,81.74,0.09033806907989682,0.0839160839160839,0.4634146341463415,0.3333333333333333,0.4310344827586207,0.49673202614379086,0.3725247524752475,0.29787939032471844,0.2937996820349762,0.43586312368571967,0.1977319234526158,0.02399247164374663,0.5510204081632653,0.38480392156862747,0.125\n",
            "185,RECX11,Outros,100.0,0.00024281963998552244,0.12587412587412586,0.5853658536585366,0.14222222222222222,0.09195402298850575,0.05228758169934641,0.1188118811881188,0.4400265076209411,0.4372019077901431,0.6256929841330529,0.004015429546837801,0.024128492829740337,0.7448979591836735,0.06617647058823531,0.0\n",
            "186,RELG11,Híbrido,97.07,0.007742739463689301,0.09790209790209789,0.42073170731707316,0.3422222222222222,0.0,0.0,0.36633663366336633,0.7021206096752817,0.6823529411764706,0.8524182756643088,0.02748631969105295,0.02490020486456176,0.673469387755102,0.18995098039215688,0.046875\n",
            "187,RFOF11,Títulos e Val. Mob.,82.21,0.010725297683134113,0.08811188811188811,0.46951219512195125,0.3333333333333333,0.4310344827586207,0.41830065359477125,0.45544554455445546,0.5188866799204771,0.5077901430842607,0.617663926591474,0.025453686986044742,0.02409240557631344,0.5510204081632653,0.06617647058823531,0.0\n",
            "188,RNDP11,Títulos e Val. Mob.,686.0,0.0,0.5790209790209789,0.35365853658536583,0.2577777777777778,0.3045977011494253,0.29411764705882354,0.3155940594059406,0.4615639496355203,0.4470588235294118,0.5914739055629898,0.025510475642326343,0.25951176722055974,0.3979591836734694,0.06617647058823531,0.0\n",
            "189,RNGO11,Lajes Corporativas,62.0,0.023608483110290512,0.05174825174825175,0.3597560975609756,0.26666666666666666,0.3620689655172414,0.3986928104575163,0.37004950495049505,0.6713055003313453,0.6492845786963434,0.5773274708468744,0.06964462540588753,0.026188242217645003,0.2755102040816326,0.2965686274509804,0.046875\n",
            "190,RRCI11,Títulos e Val. Mob.,86.04,0.010404592498247576,0.09790209790209789,0.48780487804878053,0.3422222222222222,0.0,0.0,0.37376237623762376,0.5135851557322731,0.5036565977742449,0.7589371057159242,0.011208230344368181,0.02473087236771246,0.5714285714285714,0.06617647058823531,0.0\n",
            "191,RVBI11,Títulos e Val. Mob.,97.36,0.02075878846744155,0.10069930069930069,0.46951219512195125,0.3422222222222222,0.42528735632183906,0.43790849673202614,0.37623762376237624,0.6885354539430086,0.6718600953895072,0.7396291340087937,0.03446884822661958,0.02423953053259234,0.7040816326530612,0.06617647058823531,0.0\n",
            "192,RZAK11,Títulos e Val. Mob.,94.55,0.023113680825036995,0.13986013986013984,0.6402439024390244,0.23111111111111113,0.0,0.0,0.1943069306930693,0.6043737574552684,0.5993640699523053,0.6675587841712866,0.07514624071538509,0.02509452084455277,0.6428571428571429,0.06617647058823531,0.0\n",
            "193,RZTR11,Híbrido,101.2,0.17209040221011687,0.06993006993006992,0.29878048780487804,0.28444444444444444,0.41954022988505746,0.0,0.4319306930693069,0.47448641484426773,0.45659777424483305,0.6847639074746702,0.2789483692911045,0.025111176499980566,0.7142857142857143,0.06617647058823531,0.0\n",
            "194,SADI11,Títulos e Val. Mob.,86.5,0.005736041306827813,0.039160839160839164,0.20121951219512196,0.12000000000000001,0.14942528735632185,0.16339869281045752,0.1608910891089109,0.5284956925115971,0.5036565977742449,0.9267826419422671,0.08231832391695201,0.025985598409940094,0.5306122448979592,0.06617647058823531,0.0\n",
            "195,SARE11,Híbrido,100.8,0.013588736833906784,0.08951048951048951,0.38414634146341464,0.28444444444444444,0.3275862068965517,0.2679738562091503,0.38985148514851486,0.6438038436050364,0.6241653418124007,0.8998279487669661,0.13899777558756538,0.02595228709908449,0.673469387755102,0.0,0.046875\n",
            "196,SCPF11,Shoppings,9.12,0.0016905744746161847,0.0,0.024390243902439025,0.10222222222222223,0.16666666666666666,0.16339869281045752,0.08415841584158416,0.6829025844930418,0.6429252782193959,0.5484610973045306,0.012980107789082,0.001593391035926249,0.3877551020408163,0.32843137254901966,0.015625\n",
            "197,SDIL11,Logística,94.75,0.046016612528577125,0.0839160839160839,0.38414634146341464,0.2711111111111111,0.3448275862068965,0.36601307189542487,0.3712871287128713,0.48807157057654077,0.4740858505564388,0.5977824507742305,0.1709634857807535,0.026751758559618918,0.5918367346938775,0.10171568627450982,0.078125\n",
            "198,SEQR11,Outros,80.49,0.021281079768542488,0.09370629370629371,0.4573170731707317,0.0,0.0,0.0,0.18316831683168316,0.5639496355202122,0.5507154213036566,0.7078952399158861,0.039407312865733894,0.02705156035731933,0.4387755102040816,0.06617647058823531,0.0\n",
            "199,SHPH11,Shoppings,828.5,0.0004718947720473361,0.22797202797202795,0.12195121951219513,0.1511111111111111,0.21839080459770116,0.16993464052287582,0.12747524752475248,0.5559973492379059,0.5259141494435613,0.7122921047600841,0.12954986312140962,0.22654744918637124,0.6836734693877551,0.1519607843137255,0.015625\n",
            "203,TEPP11,Lajes Corporativas,78.0,0.026339058684467332,0.06293706293706293,0.3475609756097561,0.24000000000000002,0.3103448275862069,0.35947712418300654,0.33292079207920794,0.45162359178263756,0.4368839427662957,0.5346969986618237,0.10316773910652097,0.024369999833443446,0.4897959183673469,0.2450980392156863,0.0625\n",
            "204,TGAR11,Outros,137.13,0.11135800319788884,0.1622377622377622,0.5121951219512195,0.4,0.5114942528735632,0.5620915032679739,0.5358910891089109,0.6056991385023195,0.5939586645468998,0.7392467979353852,0.2461465631244276,0.03370827064329693,0.7448979591836735,0.06617647058823531,0.0\n",
            "205,THRA11,Lajes Corporativas,137.99,0.0033628229386674243,0.023776223776223775,0.07317073170731707,0.08444444444444445,0.16666666666666666,0.24183006535947713,0.11014851485148515,0.7123923127899271,0.6740858505564388,0.8277575989294589,0.04283547165312593,0.029719241168338708,0.8877551020408163,0.2134803921568628,0.015625\n",
            "206,TORD11,Outros,10.54,0.5344368646028524,0.013986013986013986,0.5792682926829268,0.3733333333333333,0.5919540229885057,0.6535947712418301,0.47648514851485146,0.2786613651424785,0.28076311605723375,0.5511374498183903,0.0720772280177179,0.00097713178509763,0.6836734693877551,0.06617647058823531,0.0\n",
            "207,TRNT11,Lajes Corporativas,149.0,0.00014202658187832445,0.055944055944055944,0.17073170731707318,0.10222222222222223,0.14942528735632185,0.17647058823529413,0.12252475247524752,0.2912524850894633,0.27344992050874406,0.629325176830434,0.21147184041412914,0.05564932072685281,0.3877551020408163,0.625,0.015625\n",
            "208,TRXF11,Outros,105.35,0.3148820950295278,0.09790209790209789,0.4024390243902439,0.29333333333333333,0.37931034482758624,0.40522875816993464,0.40222772277227725,0.5765407554671969,0.5602543720190779,0.7654368189638692,0.15386500700446656,0.027345810269877136,0.673469387755102,0.0,0.6875\n",
            "209,URPR11,Outros,125.77,0.03155280869019421,0.2881118881118881,1.0,0.6977777777777778,0.9195402298850576,0.0,1.0,0.5235255135851558,0.5389507154213037,0.8266105907092333,0.04220309828779888,0.025738539521094388,0.9387755102040817,0.06617647058823531,0.0\n",
            "210,VCJR11,Títulos e Val. Mob.,102.4,0.030169194892540857,0.11048951048951049,0.46951219512195125,0.30666666666666664,0.4425287356321839,0.4640522875816993,0.4282178217821782,0.6066931742876077,0.5930047694753577,0.7247180271458611,0.29821431946830423,0.02558863862224418,0.7040816326530612,0.06617647058823531,0.0\n",
            "211,VGHF11,Títulos e Val. Mob.,9.56,0.34847825389771336,0.013986013986013986,0.6402439024390244,0.0,0.0,0.0,0.22896039603960397,0.48310139165009947,0.48171701112877585,0.6765436818963869,0.04089073273510759,0.0007911436328205243,0.6530612244897959,0.06617647058823531,0.0\n",
            "212,VGIP11,Outros,106.83,0.1675592960979342,0.13006993006993006,0.5304878048780488,0.39555555555555555,0.603448275862069,0.6013071895424836,0.4566831683168317,0.6998011928429424,0.6858505564387917,0.6687057923915121,0.1327326100353549,0.02458929929657615,0.7959183673469388,0.06617647058823531,0.0\n",
            "213,VGIR11,Títulos e Val. Mob.,91.63,0.028267871296427802,0.06993006993006992,0.32926829268292684,0.23111111111111113,0.2988505747126437,0.33986928104575165,0.25742574257425743,0.5752153744201458,0.5554848966613672,0.8430510418657999,0.11258894624928163,0.02494184400313126,0.6224489795918368,0.06617647058823531,0.0\n",
            "214,VIFI11,Títulos e Val. Mob.,87.01,0.010367940477117685,0.0839160839160839,0.4085365853658537,0.3022222222222222,0.37931034482758624,0.43137254901960786,0.41089108910891087,0.6514247846255798,0.6330683624801271,0.6885872682087554,0.07247090954454516,0.025896768247658495,0.5408163265306123,0.06617647058823531,0.0\n",
            "215,VILG11,Logística,116.1,0.19596003097095785,0.07972027972027972,0.29878048780487804,0.19111111111111112,0.26436781609195403,0.29411764705882354,0.28094059405940597,0.6139827700463883,0.5910969793322733,0.7027337029248709,0.4460034796469924,0.029880245837474114,0.6836734693877551,0.004901960784313726,0.21875\n",
            "216,VINO11,Lajes Corporativas,60.3,0.12670603704603037,0.06293706293706293,0.4573170731707317,0.3288888888888889,0.41379310344827586,0.43790849673202614,0.45173267326732675,0.6030483764082175,0.5885532591414945,0.6838080672911488,0.19706336125228532,0.014748582881317352,0.673469387755102,0.045343137254901966,0.140625\n",
            "217,VISC11,Shoppings,108.55,0.15035117217745075,0.048951048951048945,0.1951219512195122,0.10666666666666666,0.20689655172413793,0.19607843137254902,0.2103960396039604,0.5533465871438039,0.5271860095389507,0.627987000573504,0.4423847274039672,0.031229353927125954,0.5816326530612245,0.10416666666666667,0.234375\n",
            "218,VLOL11,Lajes Corporativas,98.99,0.01360706284447173,0.05734265734265734,0.25,0.18666666666666665,0.23563218390804597,0.2745098039215686,0.25495049504950495,0.5106030483764082,0.4887122416534181,0.6874402599885299,0.04416000521025989,0.02498070719912946,0.6938775510204082,0.04901960784313726,0.015625\n",
            "219,VOTS11,Títulos e Val. Mob.,82.97,1.832601056494509e-05,0.05734265734265734,0.29878048780487804,0.24000000000000002,0.28160919540229884,0.2875816993464052,0.2995049504950495,0.5424121935056329,0.5220985691573927,0.8063467788185815,0.020515303973696847,0.02558863862224418,0.5102040816326531,0.06617647058823531,0.0\n",
            "220,VRTA11,Títulos e Val. Mob.,111.37,0.10997897090287673,0.14545454545454545,0.5670731707317074,0.3688888888888889,0.4597701149425288,0.47058823529411764,0.5012376237623762,0.545062955599735,0.5379968203497615,0.7432613267061746,0.2620830212394829,0.026143827136504198,0.7755102040816326,0.06617647058823531,0.0\n",
            "221,VSHO11,Shoppings,77.14,0.0007971814595751115,0.048951048951048945,0.2865853658536585,0.1111111111111111,0.1149425287356322,0.0,0.125,0.6447978793903247,0.6200317965023847,0.5606958516536035,0.054291354701137974,0.026107739883077297,0.42857142857142855,0.08664215686274511,0.046875\n",
            "222,VSLH11,Outros,10.33,1.0,0.023776223776223775,0.9329268292682927,0.0,0.0,0.0,0.3378712871287129,1.0,1.0,0.989868094054674,0.030404073066249527,0.0008633181396743264,0.7040816326530612,0.06617647058823531,0.0\n",
            "223,VTLT11,Logística,108.7,0.006038420481149408,0.1048951048951049,0.42073170731707316,0.3022222222222222,0.37931034482758624,0.3856209150326797,0.41336633663366334,0.5791915175612989,0.563751987281399,0.6549416937488052,0.05540821477050245,0.02645750864706111,0.7346938775510204,0.0,0.015625\n",
            "226,WPLZ11,Shoppings,66.69,0.0005085467931772263,0.013986013986013986,0.09146341463414634,0.022222222222222223,0.0,0.0,0.018564356435643563,0.5182239893969517,0.48807631160572335,0.656279870005735,0.02690311542940734,0.027070991955318428,0.30612244897959184,0.11519607843137256,0.015625\n",
            "227,WTSP11B,Híbrido,45.5,0.0001191190686721431,0.023776223776223775,0.22560975609756098,0.13333333333333333,0.15517241379310345,0.18300653594771243,0.14232673267326731,0.4075546719681909,0.38823529411764707,0.5115656662206078,0.01976288093757608,0.020217189746778517,0.23469387755102042,0.06617647058823531,0.0\n",
            "228,XPCI11,Outros,100.05,0.18673746615414924,0.13986013986013984,0.6097560975609756,0.4222222222222222,0.5114942528735632,0.5098039215686274,0.5631188118811881,0.6474486414844268,0.6394276629570748,0.8755496081055246,0.16539789628712717,0.025097296787124065,0.7040816326530612,0.06617647058823531,0.0\n",
            "230,XPHT11,Hotel,87.9,1.3744507923708819e-05,0.04755244755244755,0.24390243902439027,0.15555555555555556,0.21264367816091953,0.0,0.12995049504950495,0.03346587143803849,0.02893481717011129,0.40030586885872677,0.0852916744119891,0.022240851881256282,0.6836734693877551,1.0,0.078125\n",
            "231,XPIN11,Outros,105.07,0.04603035703650083,0.08951048951048951,0.36585365853658536,0.2533333333333333,0.3160919540229885,0.35294117647058826,0.2784653465346535,0.5178926441351889,0.5014308426073132,0.6310456891607723,0.18910275742863694,0.02885869897123568,0.6224489795918368,0.12132352941176472,0.078125\n",
            "232,XPLG11,Logística,114.1,0.2582867929023361,0.0853146853146853,0.32926829268292684,0.23111111111111113,0.28735632183908044,0.3071895424836601,0.3118811881188119,0.5715705765407555,0.5513513513513513,0.6480596444274517,0.7770366086064364,0.02871712590009938,0.7040816326530612,0.10049019607843138,0.203125\n",
            "233,XPML11,Shoppings,107.49,0.21262753757977543,0.04195804195804195,0.17682926829268292,0.09777777777777778,0.18965517241379312,0.1895424836601307,0.12128712871287128,0.5059642147117297,0.4807631160572337,0.5924297457465111,0.519777105898033,0.028597760369533473,0.6530612244897959,0.06740196078431374,0.203125\n",
            "234,XPPR11,Outros,62.8,0.1481337248990924,0.06713286713286713,0.4573170731707317,0.32,0.396551724137931,0.49673202614379086,0.42574257425742573,0.46686547382372434,0.45723370429252785,0.3821449053718218,0.16514547076013486,0.022293594790110983,0.3877551020408163,0.47794117647058826,0.0625\n",
            "235,XPSF11,Outros,97.5,0.09382917409251887,0.12167832167832167,0.5426829268292683,0.3644444444444444,0.4540229885057471,0.5098039215686274,0.4962871287128713,0.6573889993373094,0.6454689984101748,0.842286369718983,0.1098091201281943,0.025349907561112373,0.6632653061224489,0.06617647058823531,0.0\n",
            "236,XTED11,Lajes Corporativas,7.13,0.03188267688036322,0.0,0.0,0.0,0.0,0.0,0.0,0.6752816434724984,0.6343402225755167,0.0,0.005806189219596164,0.0020319899621916624,0.16326530612244897,0.0,0.015625\n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    }
  ]
}