[Imersão_Python]_Aula_03.ipynb

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        "<a href=\"https://colab.research.google.com/github/alura-cursos/imersao-python-dados-03-2024/blob/main/%5BImers%C3%A3o_Python%5D_Aula_03.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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        "import pandas as pd\n",
        "import plotly.express as px"
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        "df_principal = pd.read_excel(\"/content/acoes_pura.xlsx\", sheet_name=\"Principal\")\n",
        "df_principal"
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              "    Ativo       Data  Último (R$)  Var. Dia (%)  Var. Sem. (%)  Var. Mês (%)  \\\n",
              "0   USIM5 2024-01-26         9.50          5.20          11.76          2.26   \n",
              "1   CMIN3 2024-01-26         6.82          2.40           2.40        -12.11   \n",
              "2   PETR3 2024-01-26        41.96          2.19           7.73          7.64   \n",
              "3   SUZB3 2024-01-26        52.91          2.04           2.14         -4.89   \n",
              "4   CPFE3 2024-01-26        37.10          2.03           2.49         -3.66   \n",
              "..    ...        ...          ...           ...            ...           ...   \n",
              "76  CRFB3 2024-01-26        10.71         -2.45          -9.47        -13.98   \n",
              "77  BHIA3 2024-01-26         8.70         -2.46          -6.95        -23.55   \n",
              "78  RENT3 2024-01-26        56.24         -3.63          -6.41        -11.57   \n",
              "79  CVCB3 2024-01-26         3.07         -4.36          -5.54        -12.29   \n",
              "80  GOLL4 2024-01-26         5.92         -8.07         -15.91        -34.00   \n",
              "\n",
              "    Var. Ano (%)  Var. 12M (%)  Val. Mín  Val. Máx    Volume  Variação %  \\\n",
              "0           2.26         15.97      9.18      9.56  319,16 M        0.05   \n",
              "1         -12.11         50.56      6.66      6.86   32,65 M        0.02   \n",
              "2           7.64         77.55     40.81     42.34  436,69 M        0.02   \n",
              "3          -4.89         18.85     51.89     53.17  162,55 M        0.02   \n",
              "4          -3.66         20.70     36.37     37.32   73,42 M        0.02   \n",
              "..           ...           ...       ...       ...       ...         ...   \n",
              "76        -13.98        -32.72     10.70     11.08   38,19 M       -0.02   \n",
              "77        -23.55        -85.74      8.67      8.95   27,54 M       -0.02   \n",
              "78        -11.57         -2.77     56.04     58.90  624,74 M       -0.04   \n",
              "79        -12.29        -36.83      3.05      3.23  101,46 M       -0.04   \n",
              "80        -34.00        -25.44      5.51      6.02  154,36 M       -0.08   \n",
              "\n",
              "    Valor Inicial (R$)  Quantidade de acoes     Variação $ Resultado  \\\n",
              "0                 9.03            515117391   241889725.40     Subiu   \n",
              "1                 6.66           1110559345   177515970.30     Subiu   \n",
              "2                41.06           2379877655  2140059394.00     Subiu   \n",
              "3                51.85            683452836   722946282.70     Subiu   \n",
              "4                36.36            187732538   138573955.10     Subiu   \n",
              "..                 ...                  ...            ...       ...   \n",
              "76               10.98            533990587  -143635530.60    Desceu   \n",
              "77                8.92             94843047   -20810240.84    Desceu   \n",
              "78               58.36            853202347 -1807432634.00    Desceu   \n",
              "79                3.21            525582771   -73557408.06    Desceu   \n",
              "80                6.44            198184909  -102993202.60    Desceu   \n",
              "\n",
              "     Nome da empresa           Segmento  Idade       Cat_Idade  \n",
              "0           Usiminas         Siderurgia     60  Entre 50 e 100  \n",
              "1      CSN Mineração          Mineração      8     Menos de 50  \n",
              "2          Petrobras           Petróleo     69  Entre 50 e 100  \n",
              "3             Suzano   Papel e Celulose     94  Entre 50 e 100  \n",
              "4       CPFL Energia            Energia    109     Mais de 100  \n",
              "..               ...                ...    ...             ...  \n",
              "76  Carrefour Brasil             Varejo     37     Menos de 50  \n",
              "77       Casas Bahia             Varejo     95  Entre 50 e 100  \n",
              "78          Localiza  Aluguel de Carros     49     Menos de 50  \n",
              "79               CVC            Turismo     50  Entre 50 e 100  \n",
              "80               GOL            Aviação     20     Menos de 50  \n",
              "\n",
              "[81 rows x 20 columns]"
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>Último (R$)</th>\n",
              "      <th>Var. Dia (%)</th>\n",
              "      <th>Var. Sem. (%)</th>\n",
              "      <th>Var. Mês (%)</th>\n",
              "      <th>Var. Ano (%)</th>\n",
              "      <th>Var. 12M (%)</th>\n",
              "      <th>Val. Mín</th>\n",
              "      <th>Val. Máx</th>\n",
              "      <th>Volume</th>\n",
              "      <th>Variação %</th>\n",
              "      <th>Valor Inicial (R$)</th>\n",
              "      <th>Quantidade de acoes</th>\n",
              "      <th>Variação $</th>\n",
              "      <th>Resultado</th>\n",
              "      <th>Nome da empresa</th>\n",
              "      <th>Segmento</th>\n",
              "      <th>Idade</th>\n",
              "      <th>Cat_Idade</th>\n",
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              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>11.76</td>\n",
              "      <td>2.26</td>\n",
              "      <td>2.26</td>\n",
              "      <td>15.97</td>\n",
              "      <td>9.18</td>\n",
              "      <td>9.56</td>\n",
              "      <td>319,16 M</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.40</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>2.40</td>\n",
              "      <td>-12.11</td>\n",
              "      <td>-12.11</td>\n",
              "      <td>50.56</td>\n",
              "      <td>6.66</td>\n",
              "      <td>6.86</td>\n",
              "      <td>32,65 M</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>7.73</td>\n",
              "      <td>7.64</td>\n",
              "      <td>7.64</td>\n",
              "      <td>77.55</td>\n",
              "      <td>40.81</td>\n",
              "      <td>42.34</td>\n",
              "      <td>436,69 M</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059394.00</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>2.14</td>\n",
              "      <td>-4.89</td>\n",
              "      <td>-4.89</td>\n",
              "      <td>18.85</td>\n",
              "      <td>51.89</td>\n",
              "      <td>53.17</td>\n",
              "      <td>162,55 M</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.70</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>2.49</td>\n",
              "      <td>-3.66</td>\n",
              "      <td>-3.66</td>\n",
              "      <td>20.70</td>\n",
              "      <td>36.37</td>\n",
              "      <td>37.32</td>\n",
              "      <td>73,42 M</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538</td>\n",
              "      <td>138573955.10</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CPFL Energia</td>\n",
              "      <td>Energia</td>\n",
              "      <td>109</td>\n",
              "      <td>Mais de 100</td>\n",
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              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-9.47</td>\n",
              "      <td>-13.98</td>\n",
              "      <td>-13.98</td>\n",
              "      <td>-32.72</td>\n",
              "      <td>10.70</td>\n",
              "      <td>11.08</td>\n",
              "      <td>38,19 M</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.60</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-6.95</td>\n",
              "      <td>-23.55</td>\n",
              "      <td>-23.55</td>\n",
              "      <td>-85.74</td>\n",
              "      <td>8.67</td>\n",
              "      <td>8.95</td>\n",
              "      <td>27,54 M</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>95</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-6.41</td>\n",
              "      <td>-11.57</td>\n",
              "      <td>-11.57</td>\n",
              "      <td>-2.77</td>\n",
              "      <td>56.04</td>\n",
              "      <td>58.90</td>\n",
              "      <td>624,74 M</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.00</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Localiza</td>\n",
              "      <td>Aluguel de Carros</td>\n",
              "      <td>49</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-5.54</td>\n",
              "      <td>-12.29</td>\n",
              "      <td>-12.29</td>\n",
              "      <td>-36.83</td>\n",
              "      <td>3.05</td>\n",
              "      <td>3.23</td>\n",
              "      <td>101,46 M</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>CVC</td>\n",
              "      <td>Turismo</td>\n",
              "      <td>50</td>\n",
              "      <td>Entre 50 e 100</td>\n",
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              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-15.91</td>\n",
              "      <td>-34.00</td>\n",
              "      <td>-34.00</td>\n",
              "      <td>-25.44</td>\n",
              "      <td>5.51</td>\n",
              "      <td>6.02</td>\n",
              "      <td>154,36 M</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.60</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>GOL</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>20</td>\n",
              "      <td>Menos de 50</td>\n",
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              "\n",
              "<style>\n",
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              "      --bg-color: #E8F0FE;\n",
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              "      --bg-color: #3B4455;\n",
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              "      --disabled-bg-color: #3B4455;\n",
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              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
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              "    border-radius: 50%;\n",
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              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
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              "      border-bottom-color: var(--fill-color);\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-ba6f386a-02e3-40d5-b0a8-c426823f8d21 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u00daltimo (R$)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var. Dia (%)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var. Sem. (%)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.5909307335223435,\n        \"min\": -15.91,\n        \"max\": 12.38,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          -3.65\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var. M\\u00eas (%)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 7.704490411441888,\n        \"min\": -34.0,\n        \"max\": 9.71,\n        \"num_unique_values\": 79,\n        \"samples\": [\n          -7.65\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var. 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            }
          },
          "metadata": {},
          "execution_count": 130
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_total_acoes = pd.read_excel(\"/content/acoes_pura.xlsx\", sheet_name=\"Total_de_acoes\")\n",
        "df_total_acoes"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "RPnBN3xTWCcY",
        "outputId": "1aae0d31-868f-47a6-acae-d90c10599929"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                      Código  Qtde. Teórica\n",
              "0                      RRRP3   235665566.00\n",
              "1                      ALOS3   532616595.00\n",
              "2                      ALPA4   176733968.00\n",
              "3                      ABEV3  4394245879.00\n",
              "4                      ARZZ3    62305891.00\n",
              "..                       ...            ...\n",
              "84                     VBBR3  1114412532.00\n",
              "85                     WEGE3  1481593024.00\n",
              "86                     YDUQ3   289347914.00\n",
              "87  Quantidade Teórica Total 96372098181.00\n",
              "88                   Redutor    17047850.79\n",
              "\n",
              "[89 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
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              "      <th></th>\n",
              "      <th>Código</th>\n",
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              "  <tbody>\n",
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              "      <td>RRRP3</td>\n",
              "      <td>235665566.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>ALOS3</td>\n",
              "      <td>532616595.00</td>\n",
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              "      <th>2</th>\n",
              "      <td>ALPA4</td>\n",
              "      <td>176733968.00</td>\n",
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              "      <th>3</th>\n",
              "      <td>ABEV3</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
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              "      <td>VBBR3</td>\n",
              "      <td>1114412532.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>WEGE3</td>\n",
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              "    </tr>\n",
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              "      <th>86</th>\n",
              "      <td>YDUQ3</td>\n",
              "      <td>289347914.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>87</th>\n",
              "      <td>Quantidade Teórica Total</td>\n",
              "      <td>96372098181.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>88</th>\n",
              "      <td>Redutor</td>\n",
              "      <td>17047850.79</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>89 rows × 2 columns</p>\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "    }\n",
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              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "        document.querySelector('#df-ebf070ef-0d8f-4881-a9b1-20766f9d22d4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        const element = document.querySelector('#df-ebf070ef-0d8f-4881-a9b1-20766f9d22d4');\n",
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              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "\n",
              "  .colab-df-quickchart {\n",
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              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3b1e19a7-2fdc-44bb-969a-7596a205d97e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_total_acoes",
              "summary": "{\n  \"name\": \"df_total_acoes\",\n  \"rows\": 89,\n  \"fields\": [\n    {\n      \"column\": \"C\\u00f3digo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 89,\n        \"samples\": [\n          \"HYPE3\",\n          \"LWSA3\",\n          \"ELET6\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtde. Te\\u00f3rica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10183274286.278221,\n        \"min\": 17047850.7866643,\n        \"max\": 96372098181.0,\n        \"num_unique_values\": 89,\n        \"samples\": [\n          409490388.0,\n          393173139.0,\n          268544014.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 131
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_ticker = pd.read_excel(\"/content/acoes_pura.xlsx\", sheet_name=\"Ticker\")\n",
        "df_ticker"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "xZ96QpqJWhD8",
        "outputId": "43f4fcc7-007a-4c94-beae-278efdcd27d1"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ticker            Nome\n",
              "0    MGLU3  Magazine Luiza\n",
              "1    HAPV3         Hapvida\n",
              "2    PETR4       Petrobras\n",
              "3    B3SA3              B3\n",
              "4    USIM5        Usiminas\n",
              "..     ...             ...\n",
              "530  TKNO3           Tekno\n",
              "531  COCE6          Coelce\n",
              "532  MGEL3         Mangels\n",
              "533  CTSA8      Santanense\n",
              "534  MMAQ4   Minasmáquinas\n",
              "\n",
              "[535 rows x 2 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-4d1cfa19-0bf6-4c73-9655-e95d324e0f30\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
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              "\n",
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              "      <th></th>\n",
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              "      <th>0</th>\n",
              "      <td>MGLU3</td>\n",
              "      <td>Magazine Luiza</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>HAPV3</td>\n",
              "      <td>Hapvida</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR4</td>\n",
              "      <td>Petrobras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>B3SA3</td>\n",
              "      <td>B3</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>Usiminas</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>530</th>\n",
              "      <td>TKNO3</td>\n",
              "      <td>Tekno</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>531</th>\n",
              "      <td>COCE6</td>\n",
              "      <td>Coelce</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>532</th>\n",
              "      <td>MGEL3</td>\n",
              "      <td>Mangels</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>533</th>\n",
              "      <td>CTSA8</td>\n",
              "      <td>Santanense</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>534</th>\n",
              "      <td>MMAQ4</td>\n",
              "      <td>Minasmáquinas</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>535 rows × 2 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-4d1cfa19-0bf6-4c73-9655-e95d324e0f30')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-4d1cfa19-0bf6-4c73-9655-e95d324e0f30 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-4d1cfa19-0bf6-4c73-9655-e95d324e0f30');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
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              "\n",
              "\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-436759ea-cdeb-41a9-9bf2-2ccb472b5efa button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_ticker",
              "summary": "{\n  \"name\": \"df_ticker\",\n  \"rows\": 535,\n  \"fields\": [\n    {\n      \"column\": \"Ticker\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 533,\n        \"samples\": [\n          \"CIEL3\",\n          \"ECPR3\",\n          \"PDGR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 398,\n        \"samples\": [\n          \"Unifique\",\n          \"FCA\",\n          \"Recrusul\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 132
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_chatgpt = pd.read_excel(\"/content/acoes_pura.xlsx\", sheet_name=\"Chatgpt\")\n",
        "df_chatgpt"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "mC2PVZ4wWplu",
        "outputId": "8be0f4c1-df59-4ef1-b6c9-bc0052aaa958"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Nome da empresa           Segmento  Idade (anos)\n",
              "0           Usiminas         Siderurgia            60\n",
              "1      CSN Mineração          Mineração             8\n",
              "2          Petrobras           Petróleo            69\n",
              "3             Suzano   Papel e Celulose            94\n",
              "4       CPFL Energia            Energia           109\n",
              "..               ...                ...           ...\n",
              "76  Carrefour Brasil             Varejo            37\n",
              "77       Casas Bahia             Varejo            95\n",
              "78          Localiza  Aluguel de Carros            49\n",
              "79               CVC            Turismo            50\n",
              "80               GOL            Aviação            20\n",
              "\n",
              "[81 rows x 3 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-25a85e65-fadb-47d8-9f76-54d494f444e2\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Nome da empresa</th>\n",
              "      <th>Segmento</th>\n",
              "      <th>Idade (anos)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFL Energia</td>\n",
              "      <td>Energia</td>\n",
              "      <td>109</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>Casas Bahia</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>Localiza</td>\n",
              "      <td>Aluguel de Carros</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVC</td>\n",
              "      <td>Turismo</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOL</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>81 rows × 3 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-25a85e65-fadb-47d8-9f76-54d494f444e2')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
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              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-25a85e65-fadb-47d8-9f76-54d494f444e2 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-25a85e65-fadb-47d8-9f76-54d494f444e2');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-bc8d5b5a-25ca-4ebc-9d07-6255de3a7200\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-bc8d5b5a-25ca-4ebc-9d07-6255de3a7200')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-bc8d5b5a-25ca-4ebc-9d07-6255de3a7200 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_chatgpt",
              "summary": "{\n  \"name\": \"df_chatgpt\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Nome da empresa\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\",\n          \"Usiminas\",\n          \"Metal\\u00fargica Gerdau\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 34,\n        \"samples\": [\n          \"Telecomunica\\u00e7\\u00f5es\",\n          \"Holding\",\n          \"Aeron\\u00e1utica\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Idade (anos)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 36,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          72,\n          95,\n          61\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 133
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal[['Ativo', 'Data', 'Último (R$)', 'Var. Dia (%)']].copy()\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "tCDPQC58cBpT",
        "outputId": "2eea61f0-eca4-49e4-aa56-401571c62086"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  Último (R$)  Var. Dia (%)\n",
              "0   USIM5 2024-01-26         9.50          5.20\n",
              "1   CMIN3 2024-01-26         6.82          2.40\n",
              "2   PETR3 2024-01-26        41.96          2.19\n",
              "3   SUZB3 2024-01-26        52.91          2.04\n",
              "4   CPFE3 2024-01-26        37.10          2.03\n",
              "..    ...        ...          ...           ...\n",
              "76  CRFB3 2024-01-26        10.71         -2.45\n",
              "77  BHIA3 2024-01-26         8.70         -2.46\n",
              "78  RENT3 2024-01-26        56.24         -3.63\n",
              "79  CVCB3 2024-01-26         3.07         -4.36\n",
              "80  GOLL4 2024-01-26         5.92         -8.07\n",
              "\n",
              "[81 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
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              "<style scoped>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>Último (R$)</th>\n",
              "      <th>Var. Dia (%)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>81 rows × 4 columns</p>\n",
              "</div>\n",
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              "\n",
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              "\n",
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              "      display:flex;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
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              "\n",
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              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-56c00dd3-ba71-4e27-a8bb-9fd2d9b7817b');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        element.appendChild(docLink);\n",
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              "\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-477f0c75-7cd9-414a-b6f1-f15d48d68292 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"\\u00daltimo (R$)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var. Dia (%)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 134
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.rename(columns={'Último (R$)':'valor_final', 'Var. Dia (%)':'var_dia_pct'}).copy()\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "HFTCvQe1dT1E",
        "outputId": "65a6072d-bb28-4167-a6c9-58ce5b4050d9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct\n",
              "0   USIM5 2024-01-26         9.50         5.20\n",
              "1   CMIN3 2024-01-26         6.82         2.40\n",
              "2   PETR3 2024-01-26        41.96         2.19\n",
              "3   SUZB3 2024-01-26        52.91         2.04\n",
              "4   CPFE3 2024-01-26        37.10         2.03\n",
              "..    ...        ...          ...          ...\n",
              "76  CRFB3 2024-01-26        10.71        -2.45\n",
              "77  BHIA3 2024-01-26         8.70        -2.46\n",
              "78  RENT3 2024-01-26        56.24        -3.63\n",
              "79  CVCB3 2024-01-26         3.07        -4.36\n",
              "80  GOLL4 2024-01-26         5.92        -8.07\n",
              "\n",
              "[81 rows x 4 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e229b273-b024-40a0-8b6c-fd726f4c17b4\" class=\"colab-df-container\">\n",
              "    <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",
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              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>81 rows × 4 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e229b273-b024-40a0-8b6c-fd726f4c17b4')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
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              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-e229b273-b024-40a0-8b6c-fd726f4c17b4 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-e229b273-b024-40a0-8b6c-fd726f4c17b4');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "\n",
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              "            title=\"Suggest charts\"\n",
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              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
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              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
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              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-058354be-c8f6-49b1-a5c9-66eef276e34d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
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            }
          },
          "metadata": {},
          "execution_count": 135
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal['Var_pct'] = df_principal['var_dia_pct'] / 100\n",
        "df_principal['valor_inicial'] = df_principal['valor_final'] / (df_principal['Var_pct'] + 1)\n",
        "df_principal"
      ],
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        "id": "3qZTx4MKea1i",
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      },
      "execution_count": null,
      "outputs": [
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          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03\n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66\n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06\n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85\n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36\n",
              "..    ...        ...          ...          ...      ...            ...\n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98\n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92\n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36\n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21\n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44\n",
              "\n",
              "[81 rows x 6 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>81 rows × 6 columns</p>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 136
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.merge(df_total_acoes, left_on='Ativo', right_on='Código', how='left')\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "yGo5Xj9Wfvcs",
        "outputId": "4ab87bdb-8dac-4de9-8a12-bae7d9ff5ce0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial Código  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03  USIM5   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66  CMIN3   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06  PETR3   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85  SUZB3   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36  CPFE3   \n",
              "..    ...        ...          ...          ...      ...            ...    ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98  CRFB3   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92  BHIA3   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36  RENT3   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21  CVCB3   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44  GOLL4   \n",
              "\n",
              "    Qtde. Teórica  \n",
              "0    515117391.00  \n",
              "1   1110559345.00  \n",
              "2   2379877655.00  \n",
              "3    683452836.00  \n",
              "4    187732538.00  \n",
              "..            ...  \n",
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              "      <td>USIM5</td>\n",
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              "      <td>SUZB3</td>\n",
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              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
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              "      <td>2.03</td>\n",
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              "      <td>36.36</td>\n",
              "      <td>CPFE3</td>\n",
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              "      <td>-2.46</td>\n",
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              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>CVCB3</td>\n",
              "      <td>525582771.00</td>\n",
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              "      <th>80</th>\n",
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              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
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              "      <td>198184909.00</td>\n",
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              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"C\\u00f3digo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtde. Te\\u00f3rica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583.37415,\n        \"min\": 62305891.0,\n        \"max\": 5602790110.0,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
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          },
          "metadata": {},
          "execution_count": 137
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.drop(columns=['Código'])\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "2W9WJ1ZNilyH",
        "outputId": "fef7ceb8-aff6-405d-9c2c-df7347d06768"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
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              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909.00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtde. Te\\u00f3rica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583.37415,\n        \"min\": 62305891.0,\n        \"max\": 5602790110.0,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 138
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal['Variacao_rs'] = (df_principal['valor_final'] - df_principal['valor_inicial'])*df_principal['Qtde. Teórica']\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "Zc_s2TrBjFgq",
        "outputId": "9c021a08-68ea-4ebd-855d-b305b6605f5d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtde. Teórica    Variacao_rs  \n",
              "0    515117391.00   241889725.43  \n",
              "1   1110559345.00   177515970.30  \n",
              "2   2379877655.00  2140059393.53  \n",
              "3    683452836.00   722946282.71  \n",
              "4    187732538.00   138573955.06  \n",
              "..            ...            ...  \n",
              "76   533990587.00  -143635530.57  \n",
              "77    94843047.00   -20810240.84  \n",
              "78   853202347.00 -1807432634.46  \n",
              "79   525582771.00   -73557408.06  \n",
              "80   198184909.00  -102993202.62  \n",
              "\n",
              "[81 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
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              "      <th>Qtde. Teórica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391.00</td>\n",
              "      <td>241889725.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
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              "      <td>177515970.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655.00</td>\n",
              "      <td>2140059393.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836.00</td>\n",
              "      <td>722946282.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538.00</td>\n",
              "      <td>138573955.06</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587.00</td>\n",
              "      <td>-143635530.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047.00</td>\n",
              "      <td>-20810240.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347.00</td>\n",
              "      <td>-1807432634.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771.00</td>\n",
              "      <td>-73557408.06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909.00</td>\n",
              "      <td>-102993202.62</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtde. Te\\u00f3rica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583.37415,\n        \"min\": 62305891.0,\n        \"max\": 5602790110.0,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 779609954.9929037,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 139
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "pd.options.display.float_format = '{:.2f}'.format"
      ],
      "metadata": {
        "id": "E8TFCF4zj3MY"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal['Qtde. Teórica'] = df_principal['Qtde. Teórica'].astype(int)\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "0IyBJKxEkBDF",
        "outputId": "a224b203-288c-4c29-c0c1-b2c47a688d2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtde. Teórica    Variacao_rs  \n",
              "0       515117391   241889725.43  \n",
              "1      1110559345   177515970.30  \n",
              "2      2379877655  2140059393.53  \n",
              "3       683452836   722946282.71  \n",
              "4       187732538   138573955.06  \n",
              "..            ...            ...  \n",
              "76      533990587  -143635530.57  \n",
              "77       94843047   -20810240.84  \n",
              "78      853202347 -1807432634.46  \n",
              "79      525582771   -73557408.06  \n",
              "80      198184909  -102993202.62  \n",
              "\n",
              "[81 rows x 8 columns]"
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              "\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
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              "      <th>Qtde. Teórica</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
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              "      <td>0.05</td>\n",
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              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
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              "      <td>2140059393.53</td>\n",
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              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
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              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
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              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
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              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
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              "      <td>-1807432634.46</td>\n",
              "    </tr>\n",
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              "      <th>79</th>\n",
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              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtde. Te\\u00f3rica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 779609954.9929037,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 141
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.rename(columns={'Qtde. Teórica':'Qtd_teorica'}).copy()\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "14V2gOU6kk1i",
        "outputId": "6ebbaad5-af43-4619-fd21-23cf12234ec8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs  \n",
              "0     515117391   241889725.43  \n",
              "1    1110559345   177515970.30  \n",
              "2    2379877655  2140059393.53  \n",
              "3     683452836   722946282.71  \n",
              "4     187732538   138573955.06  \n",
              "..          ...            ...  \n",
              "76    533990587  -143635530.57  \n",
              "77     94843047   -20810240.84  \n",
              "78    853202347 -1807432634.46  \n",
              "79    525582771   -73557408.06  \n",
              "80    198184909  -102993202.62  \n",
              "\n",
              "[81 rows x 8 columns]"
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              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
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              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
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              "      <td>177515970.30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
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              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
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              "      <th>76</th>\n",
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              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
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              "      <td>-143635530.57</td>\n",
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              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
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              "      <td>-1807432634.46</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 779609954.9929037,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 142
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal['Resultado'] = df_principal['Variacao_rs'].apply(lambda x: 'Subiu' if x > 0 else ('Desceu' if x < 0 else 'Estável'))\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "nCxFhbvUk2fo",
        "outputId": "5dafe09b-e680-44f8-ce09-1653a2b49ff8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado  \n",
              "0     515117391   241889725.43     Subiu  \n",
              "1    1110559345   177515970.30     Subiu  \n",
              "2    2379877655  2140059393.53     Subiu  \n",
              "3     683452836   722946282.71     Subiu  \n",
              "4     187732538   138573955.06     Subiu  \n",
              "..          ...            ...       ...  \n",
              "76    533990587  -143635530.57    Desceu  \n",
              "77     94843047   -20810240.84    Desceu  \n",
              "78    853202347 -1807432634.46    Desceu  \n",
              "79    525582771   -73557408.06    Desceu  \n",
              "80    198184909  -102993202.62    Desceu  \n",
              "\n",
              "[81 rows x 9 columns]"
            ],
            "text/html": [
              "\n",
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              "<style scoped>\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538</td>\n",
              "      <td>138573955.06</td>\n",
              "      <td>Subiu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
              "      <td>Desceu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 779609954.9929037,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 143
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.merge(df_ticker, left_on='Ativo', right_on='Ticker', how='left')\n",
        "df_principal = df_principal.drop(columns=['Ticker'])\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "kUfTF7CDm5XV",
        "outputId": "d119078c-89bd-422b-c59f-76b23ca82fe2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "4   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "76  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "77  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "78  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "79  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "80  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado              Nome  \n",
              "0     515117391   241889725.43     Subiu          Usiminas  \n",
              "1    1110559345   177515970.30     Subiu     CSN Mineração  \n",
              "2    2379877655  2140059393.53     Subiu         Petrobras  \n",
              "3     683452836   722946282.71     Subiu            Suzano  \n",
              "4     187732538   138573955.06     Subiu      CPFL Energia  \n",
              "..          ...            ...       ...               ...  \n",
              "76    533990587  -143635530.57    Desceu  Carrefour Brasil  \n",
              "77     94843047   -20810240.84    Desceu       Casas Bahia  \n",
              "78    853202347 -1807432634.46    Desceu          Localiza  \n",
              "79    525582771   -73557408.06    Desceu               CVC  \n",
              "80    198184909  -102993202.62    Desceu               GOL  \n",
              "\n",
              "[81 rows x 10 columns]"
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
              "      <th>Nome</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538</td>\n",
              "      <td>138573955.06</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CPFL Energia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
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              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>76</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>77</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Localiza</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>79</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>CVC</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>GOL</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 81,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.408050480980968,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.7058443657028035,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01705844365702804,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.31642008981251,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1348643583,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 779609954.9929037,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 144
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.merge(df_chatgpt, left_on='Nome', right_on='Nome da empresa', how='left')\n",
        "df_principal = df_principal.drop(columns=['Nome da empresa'])\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "7l9V2YxZpUm8",
        "outputId": "4a3a43a3-f5cf-4ed4-90f7-c9f1f17780e7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "4   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "82  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "83  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "84  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "85  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "86  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado              Nome           Segmento  \\\n",
              "0     515117391   241889725.43     Subiu          Usiminas         Siderurgia   \n",
              "1    1110559345   177515970.30     Subiu     CSN Mineração          Mineração   \n",
              "2    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "3    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "4     683452836   722946282.71     Subiu            Suzano   Papel e Celulose   \n",
              "..          ...            ...       ...               ...                ...   \n",
              "82    533990587  -143635530.57    Desceu  Carrefour Brasil             Varejo   \n",
              "83     94843047   -20810240.84    Desceu       Casas Bahia             Varejo   \n",
              "84    853202347 -1807432634.46    Desceu          Localiza  Aluguel de Carros   \n",
              "85    525582771   -73557408.06    Desceu               CVC            Turismo   \n",
              "86    198184909  -102993202.62    Desceu               GOL            Aviação   \n",
              "\n",
              "    Idade (anos)  \n",
              "0             60  \n",
              "1              8  \n",
              "2             69  \n",
              "3             69  \n",
              "4             94  \n",
              "..           ...  \n",
              "82            37  \n",
              "83            95  \n",
              "84            49  \n",
              "85            50  \n",
              "86            20  \n",
              "\n",
              "[87 rows x 12 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-bbfe3590-bafe-415c-befa-f591f6bcb5cf\" class=\"colab-df-container\">\n",
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              "<style scoped>\n",
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              "\n",
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              "\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
              "      <th>Nome</th>\n",
              "      <th>Segmento</th>\n",
              "      <th>Idade (anos)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Localiza</td>\n",
              "      <td>Aluguel de Carros</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>CVC</td>\n",
              "      <td>Turismo</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>GOL</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 87,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.418648792585977,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.6758599830251806,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016758599830251807,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.32242812808953,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1427611714,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 848187668.6708894,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 34,\n        \"samples\": [\n          \"Telecomunica\\u00e7\\u00f5es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Idade (anos)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 145
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.rename(columns={'Idade (fundação ou início de operações)':'Idade'}).copy()\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "-AS-pJNKplsK",
        "outputId": "caf4f2ea-fab5-40d3-c9ef-4824bf5be490"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "4   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "82  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "83  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "84  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "85  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "86  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado              Nome           Segmento  \\\n",
              "0     515117391   241889725.43     Subiu          Usiminas         Siderurgia   \n",
              "1    1110559345   177515970.30     Subiu     CSN Mineração          Mineração   \n",
              "2    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "3    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "4     683452836   722946282.71     Subiu            Suzano   Papel e Celulose   \n",
              "..          ...            ...       ...               ...                ...   \n",
              "82    533990587  -143635530.57    Desceu  Carrefour Brasil             Varejo   \n",
              "83     94843047   -20810240.84    Desceu       Casas Bahia             Varejo   \n",
              "84    853202347 -1807432634.46    Desceu          Localiza  Aluguel de Carros   \n",
              "85    525582771   -73557408.06    Desceu               CVC            Turismo   \n",
              "86    198184909  -102993202.62    Desceu               GOL            Aviação   \n",
              "\n",
              "    Idade (anos)  \n",
              "0             60  \n",
              "1              8  \n",
              "2             69  \n",
              "3             69  \n",
              "4             94  \n",
              "..           ...  \n",
              "82            37  \n",
              "83            95  \n",
              "84            49  \n",
              "85            50  \n",
              "86            20  \n",
              "\n",
              "[87 rows x 12 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
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              "    </tr>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Localiza</td>\n",
              "      <td>Aluguel de Carros</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>CVC</td>\n",
              "      <td>Turismo</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>GOL</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>87 rows × 12 columns</p>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 87,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.418648792585977,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.6758599830251806,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016758599830251807,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.32242812808953,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1427611714,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 848187668.6708894,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 34,\n        \"samples\": [\n          \"Telecomunica\\u00e7\\u00f5es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Idade (anos)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 146
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal = df_principal.rename(columns={'Idade (anos)':'Ano_de_fundacao'}).copy()\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "FVk75GqOpxPM",
        "outputId": "de641903-69e8-4503-8a87-00b5af973837"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "4   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "82  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "83  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "84  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "85  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "86  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado              Nome           Segmento  \\\n",
              "0     515117391   241889725.43     Subiu          Usiminas         Siderurgia   \n",
              "1    1110559345   177515970.30     Subiu     CSN Mineração          Mineração   \n",
              "2    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "3    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "4     683452836   722946282.71     Subiu            Suzano   Papel e Celulose   \n",
              "..          ...            ...       ...               ...                ...   \n",
              "82    533990587  -143635530.57    Desceu  Carrefour Brasil             Varejo   \n",
              "83     94843047   -20810240.84    Desceu       Casas Bahia             Varejo   \n",
              "84    853202347 -1807432634.46    Desceu          Localiza  Aluguel de Carros   \n",
              "85    525582771   -73557408.06    Desceu               CVC            Turismo   \n",
              "86    198184909  -102993202.62    Desceu               GOL            Aviação   \n",
              "\n",
              "    Ano_de_fundacao  \n",
              "0                60  \n",
              "1                 8  \n",
              "2                69  \n",
              "3                69  \n",
              "4                94  \n",
              "..              ...  \n",
              "82               37  \n",
              "83               95  \n",
              "84               49  \n",
              "85               50  \n",
              "86               20  \n",
              "\n",
              "[87 rows x 12 columns]"
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              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
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              "    }\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>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
              "      <th>Nome</th>\n",
              "      <th>Segmento</th>\n",
              "      <th>Ano_de_fundacao</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>82</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>95</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Localiza</td>\n",
              "      <td>Aluguel de Carros</td>\n",
              "      <td>49</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>85</th>\n",
              "      <td>CVCB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.07</td>\n",
              "      <td>-4.36</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>3.21</td>\n",
              "      <td>525582771</td>\n",
              "      <td>-73557408.06</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>CVC</td>\n",
              "      <td>Turismo</td>\n",
              "      <td>50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>86</th>\n",
              "      <td>GOLL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.92</td>\n",
              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
              "      <td>198184909</td>\n",
              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>GOL</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>20</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>87 rows × 12 columns</p>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 87,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.418648792585977,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.6758599830251806,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016758599830251807,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.32242812808953,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1427611714,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 848187668.6708894,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 34,\n        \"samples\": [\n          \"Telecomunica\\u00e7\\u00f5es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Ano_de_fundacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 147
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal['Cat_idade'] = df_principal['Ano_de_fundacao'].apply(lambda x: 'Mais de 100' if x > 100 else ('Menos de 50' if x < 50 else 'Entre 50 e 100'))\n",
        "df_principal"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 597
        },
        "id": "UiPtYLKnqBWC",
        "outputId": "7c7d2d45-c76d-4e9a-dfa5-93577c7c7bb2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "4   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "..    ...        ...          ...          ...      ...            ...   \n",
              "82  CRFB3 2024-01-26        10.71        -2.45    -0.02          10.98   \n",
              "83  BHIA3 2024-01-26         8.70        -2.46    -0.02           8.92   \n",
              "84  RENT3 2024-01-26        56.24        -3.63    -0.04          58.36   \n",
              "85  CVCB3 2024-01-26         3.07        -4.36    -0.04           3.21   \n",
              "86  GOLL4 2024-01-26         5.92        -8.07    -0.08           6.44   \n",
              "\n",
              "    Qtd_teorica    Variacao_rs Resultado              Nome           Segmento  \\\n",
              "0     515117391   241889725.43     Subiu          Usiminas         Siderurgia   \n",
              "1    1110559345   177515970.30     Subiu     CSN Mineração          Mineração   \n",
              "2    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "3    2379877655  2140059393.53     Subiu         Petrobras           Petróleo   \n",
              "4     683452836   722946282.71     Subiu            Suzano   Papel e Celulose   \n",
              "..          ...            ...       ...               ...                ...   \n",
              "82    533990587  -143635530.57    Desceu  Carrefour Brasil             Varejo   \n",
              "83     94843047   -20810240.84    Desceu       Casas Bahia             Varejo   \n",
              "84    853202347 -1807432634.46    Desceu          Localiza  Aluguel de Carros   \n",
              "85    525582771   -73557408.06    Desceu               CVC            Turismo   \n",
              "86    198184909  -102993202.62    Desceu               GOL            Aviação   \n",
              "\n",
              "    Ano_de_fundacao       Cat_idade  \n",
              "0                60  Entre 50 e 100  \n",
              "1                 8     Menos de 50  \n",
              "2                69  Entre 50 e 100  \n",
              "3                69  Entre 50 e 100  \n",
              "4                94  Entre 50 e 100  \n",
              "..              ...             ...  \n",
              "82               37     Menos de 50  \n",
              "83               95  Entre 50 e 100  \n",
              "84               49     Menos de 50  \n",
              "85               50  Entre 50 e 100  \n",
              "86               20     Menos de 50  \n",
              "\n",
              "[87 rows x 13 columns]"
            ],
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              "      <th></th>\n",
              "      <th>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
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              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
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              "      <td>60</td>\n",
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              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
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              "      <td>CSN Mineração</td>\n",
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              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
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              "      <th>3</th>\n",
              "      <td>PETR3</td>\n",
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              "      <td>2.19</td>\n",
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              "      <td>Subiu</td>\n",
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              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</td>\n",
              "      <td>Entre 50 e 100</td>\n",
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              "    <tr>\n",
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              "      <th>82</th>\n",
              "      <td>CRFB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.71</td>\n",
              "      <td>-2.45</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>10.98</td>\n",
              "      <td>533990587</td>\n",
              "      <td>-143635530.57</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Carrefour Brasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>37</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>83</th>\n",
              "      <td>BHIA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.70</td>\n",
              "      <td>-2.46</td>\n",
              "      <td>-0.02</td>\n",
              "      <td>8.92</td>\n",
              "      <td>94843047</td>\n",
              "      <td>-20810240.84</td>\n",
              "      <td>Desceu</td>\n",
              "      <td>Casas Bahia</td>\n",
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              "      <td>95</td>\n",
              "      <td>Entre 50 e 100</td>\n",
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              "    <tr>\n",
              "      <th>84</th>\n",
              "      <td>RENT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.24</td>\n",
              "      <td>-3.63</td>\n",
              "      <td>-0.04</td>\n",
              "      <td>58.36</td>\n",
              "      <td>853202347</td>\n",
              "      <td>-1807432634.46</td>\n",
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              "      <td>49</td>\n",
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              "      <th>85</th>\n",
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              "      <td>3.07</td>\n",
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              "      <td>3.21</td>\n",
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              "      <td>GOLL4</td>\n",
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              "      <td>-8.07</td>\n",
              "      <td>-0.08</td>\n",
              "      <td>6.44</td>\n",
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              "      <td>-102993202.62</td>\n",
              "      <td>Desceu</td>\n",
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              "      <td>20</td>\n",
              "      <td>Menos de 50</td>\n",
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              "type": "dataframe",
              "variable_name": "df_principal",
              "summary": "{\n  \"name\": \"df_principal\",\n  \"rows\": 87,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 81,\n        \"samples\": [\n          \"LWSA3\",\n          \"USIM5\",\n          \"PCAR3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.418648792585977,\n        \"min\": 2.08,\n        \"max\": 77.04,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.55\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.6758599830251806,\n        \"min\": -8.07,\n        \"max\": 5.2,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          2.03\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016758599830251807,\n        \"min\": -0.08070000000000001,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 75,\n        \"samples\": [\n          0.0203\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.32242812808953,\n        \"min\": 2.070063694267516,\n        \"max\": 77.08625175105064,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          5.510325655281969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1427611714,\n        \"min\": 62305891,\n        \"max\": 5602790110,\n        \"num_unique_values\": 81,\n        \"samples\": [\n          393173139\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 848187668.6708894,\n        \"min\": -1807432634.4595425,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 80,\n        \"samples\": [\n          15598886.650556229\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 78,\n        \"samples\": [\n          \"RaiaDrogasil\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 34,\n        \"samples\": [\n          \"Telecomunica\\u00e7\\u00f5es\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Ano_de_fundacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 35,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 52,\n        \"samples\": [\n          72\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Cat_idade\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Entre 50 e 100\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 148
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculando o maior valor\n",
        "maior = df_principal['Variacao_rs'].max()\n",
        "\n",
        "# Calculando o menor valor\n",
        "menor = df_principal['Variacao_rs'].min()\n",
        "\n",
        "# Calculando a média\n",
        "media = df_principal['Variacao_rs'].mean()\n",
        "\n",
        "# Calculando a média de quem subiu\n",
        "media_subiu = df_principal[df_principal['Resultado'] == 'Subiu']['Variacao_rs'].mean()\n",
        "\n",
        "# Calculando a média de quem desceu\n",
        "media_desceu = df_principal[df_principal['Resultado'] == 'Desceu']['Variacao_rs'].mean()\n",
        "\n",
        "# Imprimindo os resultados\n",
        "print(f\"Maior\\tR$ {maior:,.2f}\")\n",
        "print(f\"Menor\\tR$ {menor:,.2f}\")\n",
        "print(f\"Média\\tR$ {media:,.2f}\")\n",
        "print(f\"Média de quem subiu\\tR$ {media_subiu:,.2f}\")\n",
        "print(f\"Média de quem desceu\\tR$ {media_desceu:,.2f}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ykcXnKrVqP1i",
        "outputId": "bf2c7551-0bac-4694-db24-b88937058a1e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Maior\tR$ 4,762,926,995.25\n",
            "Menor\tR$ -1,807,432,634.46\n",
            "Média\tR$ 218,008,898.33\n",
            "Média de quem subiu\tR$ 538,720,638.36\n",
            "Média de quem desceu\tR$ -186,265,310.46\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_principal_subiu = df_principal[df_principal['Resultado'] == 'Subiu']\n",
        "df_principal_subiu"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "BHfNVCYasNsZ",
        "outputId": "5020a1bd-2e70-4f73-8c61-26d021a26fbd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "    Ativo       Data  valor_final  var_dia_pct  Var_pct  valor_inicial  \\\n",
              "0   USIM5 2024-01-26         9.50         5.20     0.05           9.03   \n",
              "1   CMIN3 2024-01-26         6.82         2.40     0.02           6.66   \n",
              "2   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "3   PETR3 2024-01-26        41.96         2.19     0.02          41.06   \n",
              "4   SUZB3 2024-01-26        52.91         2.04     0.02          51.85   \n",
              "5   CPFE3 2024-01-26        37.10         2.03     0.02          36.36   \n",
              "6   PRIO3 2024-01-26        45.69         1.98     0.02          44.80   \n",
              "7   PETR4 2024-01-26        39.96         1.73     0.02          39.28   \n",
              "8   PETR4 2024-01-26        39.96         1.73     0.02          39.28   \n",
              "9   VALE3 2024-01-26        69.50         1.66     0.02          68.37   \n",
              "10  MULT3 2024-01-26        28.19         1.58     0.02          27.75   \n",
              "11  ITUB4 2024-01-26        32.81         1.48     0.01          32.33   \n",
              "12  RDOR3 2024-01-26        27.56         1.43     0.01          27.17   \n",
              "13  BRKM5 2024-01-26        18.55         1.42     0.01          18.29   \n",
              "14  AZUL4 2024-01-26        14.27         1.42     0.01          14.07   \n",
              "15  RRRP3 2024-01-26        28.75         1.41     0.01          28.35   \n",
              "16  EQTL3 2024-01-26        35.32         1.34     0.01          34.85   \n",
              "17  CSNA3 2024-01-26        18.16         1.33     0.01          17.92   \n",
              "18  YDUQ3 2024-01-26        19.77         1.28     0.01          19.52   \n",
              "19  UGPA3 2024-01-26        28.31         1.28     0.01          27.95   \n",
              "20  MRVE3 2024-01-26         8.08         1.25     0.01           7.98   \n",
              "21  ARZZ3 2024-01-26        57.91         1.15     0.01          57.25   \n",
              "22  BBDC4 2024-01-26        15.52         1.04     0.01          15.36   \n",
              "23  BBDC4 2024-01-26        15.52         1.04     0.01          15.36   \n",
              "24  BEEF3 2024-01-26         7.19         0.98     0.01           7.12   \n",
              "25  PCAR3 2024-01-26         4.14         0.97     0.01           4.10   \n",
              "26  BRFS3 2024-01-26        14.61         0.96     0.01          14.47   \n",
              "27  VIVT3 2024-01-26        51.20         0.88     0.01          50.75   \n",
              "28  RAIL3 2024-01-26        22.64         0.84     0.01          22.45   \n",
              "29  CIEL3 2024-01-26         4.90         0.82     0.01           4.86   \n",
              "30  DXCO3 2024-01-26         7.81         0.77     0.01           7.75   \n",
              "31  TIMS3 2024-01-26        17.52         0.74     0.01          17.39   \n",
              "32  BRAP4 2024-01-26        23.22         0.73     0.01          23.05   \n",
              "33  LWSA3 2024-01-26         5.55         0.72     0.01           5.51   \n",
              "34  RECV3 2024-01-26        23.83         0.71     0.01          23.66   \n",
              "35  ITSA4 2024-01-26        10.01         0.70     0.01           9.94   \n",
              "36  BBAS3 2024-01-26        56.97         0.68     0.01          56.59   \n",
              "37  RADL3 2024-01-26        26.16         0.61     0.01          26.00   \n",
              "38  GOAU4 2024-01-26        10.08         0.59     0.01          10.02   \n",
              "39  CSAN3 2024-01-26        18.57         0.59     0.01          18.46   \n",
              "40  JBSS3 2024-01-26        24.34         0.57     0.01          24.20   \n",
              "41  MGLU3 2024-01-26         2.08         0.48     0.00           2.07   \n",
              "42  BBDC3 2024-01-26        13.75         0.36     0.00          13.70   \n",
              "43  BBDC3 2024-01-26        13.75         0.36     0.00          13.70   \n",
              "44  GGBR4 2024-01-26        21.84         0.27     0.00          21.78   \n",
              "45  RAIZ4 2024-01-26         3.74         0.26     0.00           3.73   \n",
              "46  CPLE6 2024-01-26        10.07         0.19     0.00          10.05   \n",
              "47  VAMO3 2024-01-26         8.18         0.12     0.00           8.17   \n",
              "\n",
              "    Qtd_teorica   Variacao_rs Resultado                  Nome  \\\n",
              "0     515117391  241889725.43     Subiu              Usiminas   \n",
              "1    1110559345  177515970.30     Subiu         CSN Mineração   \n",
              "2    2379877655 2140059393.53     Subiu             Petrobras   \n",
              "3    2379877655 2140059393.53     Subiu             Petrobras   \n",
              "4     683452836  722946282.71     Subiu                Suzano   \n",
              "5     187732538  138573955.06     Subiu          CPFL Energia   \n",
              "6     800010734  709687498.18     Subiu              PetroRio   \n",
              "7    4566445852 3103136291.22     Subiu             Petrobras   \n",
              "8    4566445852 3103136291.22     Subiu             Petrobras   \n",
              "9    4196924316 4762926995.25     Subiu                  Vale   \n",
              "10    268505432  117732680.08     Subiu             Multiplan   \n",
              "11   4801593832 2297591984.33     Subiu         Itaú Unibanco   \n",
              "12   1168230366  453917907.01     Subiu             Rede D'Or   \n",
              "13    265877867   69054317.64     Subiu               Braskem   \n",
              "14    327593725   65452205.55     Subiu                  Azul   \n",
              "15    235665566   94204643.35     Subiu          3R Petroleum   \n",
              "16   1095587251  511671895.45     Subiu    Equatorial Energia   \n",
              "17    600865451  143220991.46     Subiu  Siderúrgica Nacional   \n",
              "18    289347914   72295838.99     Subiu                 YDUQS   \n",
              "19   1086411192  388705223.96     Subiu              Ultrapar   \n",
              "20    376187582   37525872.38     Subiu                   MRV   \n",
              "21     62305891   41021792.09     Subiu                Arezzo   \n",
              "22   5146576868  822148336.41     Subiu        Banco Bradesco   \n",
              "23   5146576868  822148336.41     Subiu        Banco Bradesco   \n",
              "24    261036182   18214628.10     Subiu               Minerva   \n",
              "25    159430826    6340916.22     Subiu   Grupo Pão de Açúcar   \n",
              "26   1677525446  233045769.57     Subiu                   BRF   \n",
              "27    423091712  188965307.06     Subiu                  Vivo   \n",
              "28   1218352541  229771333.63     Subiu                  Rumo   \n",
              "29   1095462329   43657683.38     Subiu                 Cielo   \n",
              "30    302768240   18068446.61     Subiu                 Dexco   \n",
              "31    807896814  103972807.37     Subiu                   TIM   \n",
              "32    251003438   42238249.54     Subiu             Bradespar   \n",
              "33    393173139   15598886.65     Subiu               Locaweb   \n",
              "34    275005663   46201006.00     Subiu        PetroRecôncavo   \n",
              "35   5372783971  373853994.88     Subiu                Itaúsa   \n",
              "36   1420949112  546752087.99     Subiu       Banco do Brasil   \n",
              "37   1275798515  202352473.74     Subiu          RaiaDrogasil   \n",
              "38    660411219   39045606.94     Subiu    Metalúrgica Gerdau   \n",
              "39   1168097881  127229653.18     Subiu                 Cosan   \n",
              "40   1134986472  156573285.43     Subiu                   JBS   \n",
              "41   2867627068   28493619.27     Subiu        Magazine Luiza   \n",
              "42   1500728902   74019610.05     Subiu        Banco Bradesco   \n",
              "43   1500728902   74019610.05     Subiu        Banco Bradesco   \n",
              "44   1118525506   65779607.10     Subiu                Gerdau   \n",
              "45   1193047233   11571106.42     Subiu                Raízen   \n",
              "46   1679335290   32069789.50     Subiu                 Copel   \n",
              "47    421383330    4131341.16     Subiu           Grupo Vamos   \n",
              "\n",
              "              Segmento  Ano_de_fundacao       Cat_idade  \n",
              "0           Siderurgia               60  Entre 50 e 100  \n",
              "1            Mineração                8     Menos de 50  \n",
              "2             Petróleo               69  Entre 50 e 100  \n",
              "3             Petróleo               69  Entre 50 e 100  \n",
              "4     Papel e Celulose               94  Entre 50 e 100  \n",
              "5              Energia              109     Mais de 100  \n",
              "6             Petróleo                9     Menos de 50  \n",
              "7             Petróleo               69  Entre 50 e 100  \n",
              "8             Petróleo               69  Entre 50 e 100  \n",
              "9            Mineração               79  Entre 50 e 100  \n",
              "10    Shopping Centers               48     Menos de 50  \n",
              "11               Banco               13     Menos de 50  \n",
              "12               Saúde               48     Menos de 50  \n",
              "13             Química               19     Menos de 50  \n",
              "14             Aviação               13     Menos de 50  \n",
              "15            Petróleo               10     Menos de 50  \n",
              "16             Energia               23     Menos de 50  \n",
              "17          Siderurgia               80  Entre 50 e 100  \n",
              "18            Educação               59  Entre 50 e 100  \n",
              "19             Energia               83  Entre 50 e 100  \n",
              "20          Construção               41     Menos de 50  \n",
              "21                Moda               50  Entre 50 e 100  \n",
              "22               Banco               78  Entre 50 e 100  \n",
              "23               Banco               78  Entre 50 e 100  \n",
              "24           Alimentos               29     Menos de 50  \n",
              "25              Varejo               72  Entre 50 e 100  \n",
              "26           Alimentos               11     Menos de 50  \n",
              "27    Telecomunicações               18     Menos de 50  \n",
              "28           Logística               12     Menos de 50  \n",
              "29  Meios de Pagamento               24     Menos de 50  \n",
              "30         Imobiliário                8     Menos de 50  \n",
              "31    Telecomunicações               25     Menos de 50  \n",
              "32             Holding               40     Menos de 50  \n",
              "33          Tecnologia               24     Menos de 50  \n",
              "34            Petróleo               11     Menos de 50  \n",
              "35             Holding               54  Entre 50 e 100  \n",
              "36               Banco              213     Mais de 100  \n",
              "37              Varejo              117     Mais de 100  \n",
              "38          Siderurgia              121     Mais de 100  \n",
              "39             Energia               84  Entre 50 e 100  \n",
              "40           Alimentos               64  Entre 50 e 100  \n",
              "41              Varejo               64  Entre 50 e 100  \n",
              "42               Banco               78  Entre 50 e 100  \n",
              "43               Banco               78  Entre 50 e 100  \n",
              "44          Siderurgia              121     Mais de 100  \n",
              "45             Energia                8     Menos de 50  \n",
              "46             Energia               67  Entre 50 e 100  \n",
              "47           Logística               57  Entre 50 e 100  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-1f8f0147-4eee-4921-9cff-90a6d74eaa5d\" class=\"colab-df-container\">\n",
              "    <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>Ativo</th>\n",
              "      <th>Data</th>\n",
              "      <th>valor_final</th>\n",
              "      <th>var_dia_pct</th>\n",
              "      <th>Var_pct</th>\n",
              "      <th>valor_inicial</th>\n",
              "      <th>Qtd_teorica</th>\n",
              "      <th>Variacao_rs</th>\n",
              "      <th>Resultado</th>\n",
              "      <th>Nome</th>\n",
              "      <th>Segmento</th>\n",
              "      <th>Ano_de_fundacao</th>\n",
              "      <th>Cat_idade</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>USIM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>9.50</td>\n",
              "      <td>5.20</td>\n",
              "      <td>0.05</td>\n",
              "      <td>9.03</td>\n",
              "      <td>515117391</td>\n",
              "      <td>241889725.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Usiminas</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>60</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>CMIN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>6.82</td>\n",
              "      <td>2.40</td>\n",
              "      <td>0.02</td>\n",
              "      <td>6.66</td>\n",
              "      <td>1110559345</td>\n",
              "      <td>177515970.30</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CSN Mineração</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>8</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>PETR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>41.96</td>\n",
              "      <td>2.19</td>\n",
              "      <td>0.02</td>\n",
              "      <td>41.06</td>\n",
              "      <td>2379877655</td>\n",
              "      <td>2140059393.53</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>SUZB3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>52.91</td>\n",
              "      <td>2.04</td>\n",
              "      <td>0.02</td>\n",
              "      <td>51.85</td>\n",
              "      <td>683452836</td>\n",
              "      <td>722946282.71</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Suzano</td>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>94</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>CPFE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>37.10</td>\n",
              "      <td>2.03</td>\n",
              "      <td>0.02</td>\n",
              "      <td>36.36</td>\n",
              "      <td>187732538</td>\n",
              "      <td>138573955.06</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>CPFL Energia</td>\n",
              "      <td>Energia</td>\n",
              "      <td>109</td>\n",
              "      <td>Mais de 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>PRIO3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>45.69</td>\n",
              "      <td>1.98</td>\n",
              "      <td>0.02</td>\n",
              "      <td>44.80</td>\n",
              "      <td>800010734</td>\n",
              "      <td>709687498.18</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>PetroRio</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>9</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>PETR4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>39.96</td>\n",
              "      <td>1.73</td>\n",
              "      <td>0.02</td>\n",
              "      <td>39.28</td>\n",
              "      <td>4566445852</td>\n",
              "      <td>3103136291.22</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>PETR4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>39.96</td>\n",
              "      <td>1.73</td>\n",
              "      <td>0.02</td>\n",
              "      <td>39.28</td>\n",
              "      <td>4566445852</td>\n",
              "      <td>3103136291.22</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Petrobras</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>69</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>9</th>\n",
              "      <td>VALE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>69.50</td>\n",
              "      <td>1.66</td>\n",
              "      <td>0.02</td>\n",
              "      <td>68.37</td>\n",
              "      <td>4196924316</td>\n",
              "      <td>4762926995.25</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Vale</td>\n",
              "      <td>Mineração</td>\n",
              "      <td>79</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>MULT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>28.19</td>\n",
              "      <td>1.58</td>\n",
              "      <td>0.02</td>\n",
              "      <td>27.75</td>\n",
              "      <td>268505432</td>\n",
              "      <td>117732680.08</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Multiplan</td>\n",
              "      <td>Shopping Centers</td>\n",
              "      <td>48</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>ITUB4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>32.81</td>\n",
              "      <td>1.48</td>\n",
              "      <td>0.01</td>\n",
              "      <td>32.33</td>\n",
              "      <td>4801593832</td>\n",
              "      <td>2297591984.33</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Itaú Unibanco</td>\n",
              "      <td>Banco</td>\n",
              "      <td>13</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>RDOR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>27.56</td>\n",
              "      <td>1.43</td>\n",
              "      <td>0.01</td>\n",
              "      <td>27.17</td>\n",
              "      <td>1168230366</td>\n",
              "      <td>453917907.01</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Rede D'Or</td>\n",
              "      <td>Saúde</td>\n",
              "      <td>48</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>BRKM5</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>18.55</td>\n",
              "      <td>1.42</td>\n",
              "      <td>0.01</td>\n",
              "      <td>18.29</td>\n",
              "      <td>265877867</td>\n",
              "      <td>69054317.64</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Braskem</td>\n",
              "      <td>Química</td>\n",
              "      <td>19</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>14</th>\n",
              "      <td>AZUL4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>14.27</td>\n",
              "      <td>1.42</td>\n",
              "      <td>0.01</td>\n",
              "      <td>14.07</td>\n",
              "      <td>327593725</td>\n",
              "      <td>65452205.55</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Azul</td>\n",
              "      <td>Aviação</td>\n",
              "      <td>13</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>RRRP3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>28.75</td>\n",
              "      <td>1.41</td>\n",
              "      <td>0.01</td>\n",
              "      <td>28.35</td>\n",
              "      <td>235665566</td>\n",
              "      <td>94204643.35</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>3R Petroleum</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>10</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>16</th>\n",
              "      <td>EQTL3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>35.32</td>\n",
              "      <td>1.34</td>\n",
              "      <td>0.01</td>\n",
              "      <td>34.85</td>\n",
              "      <td>1095587251</td>\n",
              "      <td>511671895.45</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Equatorial Energia</td>\n",
              "      <td>Energia</td>\n",
              "      <td>23</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>17</th>\n",
              "      <td>CSNA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>18.16</td>\n",
              "      <td>1.33</td>\n",
              "      <td>0.01</td>\n",
              "      <td>17.92</td>\n",
              "      <td>600865451</td>\n",
              "      <td>143220991.46</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Siderúrgica Nacional</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>80</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>YDUQ3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>19.77</td>\n",
              "      <td>1.28</td>\n",
              "      <td>0.01</td>\n",
              "      <td>19.52</td>\n",
              "      <td>289347914</td>\n",
              "      <td>72295838.99</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>YDUQS</td>\n",
              "      <td>Educação</td>\n",
              "      <td>59</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>19</th>\n",
              "      <td>UGPA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>28.31</td>\n",
              "      <td>1.28</td>\n",
              "      <td>0.01</td>\n",
              "      <td>27.95</td>\n",
              "      <td>1086411192</td>\n",
              "      <td>388705223.96</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Ultrapar</td>\n",
              "      <td>Energia</td>\n",
              "      <td>83</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>20</th>\n",
              "      <td>MRVE3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.08</td>\n",
              "      <td>1.25</td>\n",
              "      <td>0.01</td>\n",
              "      <td>7.98</td>\n",
              "      <td>376187582</td>\n",
              "      <td>37525872.38</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>MRV</td>\n",
              "      <td>Construção</td>\n",
              "      <td>41</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>21</th>\n",
              "      <td>ARZZ3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>57.91</td>\n",
              "      <td>1.15</td>\n",
              "      <td>0.01</td>\n",
              "      <td>57.25</td>\n",
              "      <td>62305891</td>\n",
              "      <td>41021792.09</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Arezzo</td>\n",
              "      <td>Moda</td>\n",
              "      <td>50</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>22</th>\n",
              "      <td>BBDC4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>15.52</td>\n",
              "      <td>1.04</td>\n",
              "      <td>0.01</td>\n",
              "      <td>15.36</td>\n",
              "      <td>5146576868</td>\n",
              "      <td>822148336.41</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Banco Bradesco</td>\n",
              "      <td>Banco</td>\n",
              "      <td>78</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>BBDC4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>15.52</td>\n",
              "      <td>1.04</td>\n",
              "      <td>0.01</td>\n",
              "      <td>15.36</td>\n",
              "      <td>5146576868</td>\n",
              "      <td>822148336.41</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Banco Bradesco</td>\n",
              "      <td>Banco</td>\n",
              "      <td>78</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>24</th>\n",
              "      <td>BEEF3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>7.19</td>\n",
              "      <td>0.98</td>\n",
              "      <td>0.01</td>\n",
              "      <td>7.12</td>\n",
              "      <td>261036182</td>\n",
              "      <td>18214628.10</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Minerva</td>\n",
              "      <td>Alimentos</td>\n",
              "      <td>29</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25</th>\n",
              "      <td>PCAR3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>4.14</td>\n",
              "      <td>0.97</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4.10</td>\n",
              "      <td>159430826</td>\n",
              "      <td>6340916.22</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Grupo Pão de Açúcar</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>72</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>26</th>\n",
              "      <td>BRFS3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>14.61</td>\n",
              "      <td>0.96</td>\n",
              "      <td>0.01</td>\n",
              "      <td>14.47</td>\n",
              "      <td>1677525446</td>\n",
              "      <td>233045769.57</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>BRF</td>\n",
              "      <td>Alimentos</td>\n",
              "      <td>11</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>27</th>\n",
              "      <td>VIVT3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>51.20</td>\n",
              "      <td>0.88</td>\n",
              "      <td>0.01</td>\n",
              "      <td>50.75</td>\n",
              "      <td>423091712</td>\n",
              "      <td>188965307.06</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Vivo</td>\n",
              "      <td>Telecomunicações</td>\n",
              "      <td>18</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>28</th>\n",
              "      <td>RAIL3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>22.64</td>\n",
              "      <td>0.84</td>\n",
              "      <td>0.01</td>\n",
              "      <td>22.45</td>\n",
              "      <td>1218352541</td>\n",
              "      <td>229771333.63</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Rumo</td>\n",
              "      <td>Logística</td>\n",
              "      <td>12</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>29</th>\n",
              "      <td>CIEL3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>4.90</td>\n",
              "      <td>0.82</td>\n",
              "      <td>0.01</td>\n",
              "      <td>4.86</td>\n",
              "      <td>1095462329</td>\n",
              "      <td>43657683.38</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Cielo</td>\n",
              "      <td>Meios de Pagamento</td>\n",
              "      <td>24</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30</th>\n",
              "      <td>DXCO3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>7.81</td>\n",
              "      <td>0.77</td>\n",
              "      <td>0.01</td>\n",
              "      <td>7.75</td>\n",
              "      <td>302768240</td>\n",
              "      <td>18068446.61</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Dexco</td>\n",
              "      <td>Imobiliário</td>\n",
              "      <td>8</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>31</th>\n",
              "      <td>TIMS3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>17.52</td>\n",
              "      <td>0.74</td>\n",
              "      <td>0.01</td>\n",
              "      <td>17.39</td>\n",
              "      <td>807896814</td>\n",
              "      <td>103972807.37</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>TIM</td>\n",
              "      <td>Telecomunicações</td>\n",
              "      <td>25</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>32</th>\n",
              "      <td>BRAP4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>23.22</td>\n",
              "      <td>0.73</td>\n",
              "      <td>0.01</td>\n",
              "      <td>23.05</td>\n",
              "      <td>251003438</td>\n",
              "      <td>42238249.54</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Bradespar</td>\n",
              "      <td>Holding</td>\n",
              "      <td>40</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>33</th>\n",
              "      <td>LWSA3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>5.55</td>\n",
              "      <td>0.72</td>\n",
              "      <td>0.01</td>\n",
              "      <td>5.51</td>\n",
              "      <td>393173139</td>\n",
              "      <td>15598886.65</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Locaweb</td>\n",
              "      <td>Tecnologia</td>\n",
              "      <td>24</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>34</th>\n",
              "      <td>RECV3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>23.83</td>\n",
              "      <td>0.71</td>\n",
              "      <td>0.01</td>\n",
              "      <td>23.66</td>\n",
              "      <td>275005663</td>\n",
              "      <td>46201006.00</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>PetroRecôncavo</td>\n",
              "      <td>Petróleo</td>\n",
              "      <td>11</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>35</th>\n",
              "      <td>ITSA4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.01</td>\n",
              "      <td>0.70</td>\n",
              "      <td>0.01</td>\n",
              "      <td>9.94</td>\n",
              "      <td>5372783971</td>\n",
              "      <td>373853994.88</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Itaúsa</td>\n",
              "      <td>Holding</td>\n",
              "      <td>54</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>BBAS3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>56.97</td>\n",
              "      <td>0.68</td>\n",
              "      <td>0.01</td>\n",
              "      <td>56.59</td>\n",
              "      <td>1420949112</td>\n",
              "      <td>546752087.99</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Banco do Brasil</td>\n",
              "      <td>Banco</td>\n",
              "      <td>213</td>\n",
              "      <td>Mais de 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>37</th>\n",
              "      <td>RADL3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>26.16</td>\n",
              "      <td>0.61</td>\n",
              "      <td>0.01</td>\n",
              "      <td>26.00</td>\n",
              "      <td>1275798515</td>\n",
              "      <td>202352473.74</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>RaiaDrogasil</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>117</td>\n",
              "      <td>Mais de 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>38</th>\n",
              "      <td>GOAU4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.08</td>\n",
              "      <td>0.59</td>\n",
              "      <td>0.01</td>\n",
              "      <td>10.02</td>\n",
              "      <td>660411219</td>\n",
              "      <td>39045606.94</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Metalúrgica Gerdau</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>121</td>\n",
              "      <td>Mais de 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>39</th>\n",
              "      <td>CSAN3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>18.57</td>\n",
              "      <td>0.59</td>\n",
              "      <td>0.01</td>\n",
              "      <td>18.46</td>\n",
              "      <td>1168097881</td>\n",
              "      <td>127229653.18</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Cosan</td>\n",
              "      <td>Energia</td>\n",
              "      <td>84</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>40</th>\n",
              "      <td>JBSS3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>24.34</td>\n",
              "      <td>0.57</td>\n",
              "      <td>0.01</td>\n",
              "      <td>24.20</td>\n",
              "      <td>1134986472</td>\n",
              "      <td>156573285.43</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>JBS</td>\n",
              "      <td>Alimentos</td>\n",
              "      <td>64</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>41</th>\n",
              "      <td>MGLU3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>2.08</td>\n",
              "      <td>0.48</td>\n",
              "      <td>0.00</td>\n",
              "      <td>2.07</td>\n",
              "      <td>2867627068</td>\n",
              "      <td>28493619.27</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Magazine Luiza</td>\n",
              "      <td>Varejo</td>\n",
              "      <td>64</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>42</th>\n",
              "      <td>BBDC3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>13.75</td>\n",
              "      <td>0.36</td>\n",
              "      <td>0.00</td>\n",
              "      <td>13.70</td>\n",
              "      <td>1500728902</td>\n",
              "      <td>74019610.05</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Banco Bradesco</td>\n",
              "      <td>Banco</td>\n",
              "      <td>78</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>43</th>\n",
              "      <td>BBDC3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>13.75</td>\n",
              "      <td>0.36</td>\n",
              "      <td>0.00</td>\n",
              "      <td>13.70</td>\n",
              "      <td>1500728902</td>\n",
              "      <td>74019610.05</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Banco Bradesco</td>\n",
              "      <td>Banco</td>\n",
              "      <td>78</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>44</th>\n",
              "      <td>GGBR4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>21.84</td>\n",
              "      <td>0.27</td>\n",
              "      <td>0.00</td>\n",
              "      <td>21.78</td>\n",
              "      <td>1118525506</td>\n",
              "      <td>65779607.10</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Gerdau</td>\n",
              "      <td>Siderurgia</td>\n",
              "      <td>121</td>\n",
              "      <td>Mais de 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>45</th>\n",
              "      <td>RAIZ4</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>3.74</td>\n",
              "      <td>0.26</td>\n",
              "      <td>0.00</td>\n",
              "      <td>3.73</td>\n",
              "      <td>1193047233</td>\n",
              "      <td>11571106.42</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Raízen</td>\n",
              "      <td>Energia</td>\n",
              "      <td>8</td>\n",
              "      <td>Menos de 50</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>46</th>\n",
              "      <td>CPLE6</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>10.07</td>\n",
              "      <td>0.19</td>\n",
              "      <td>0.00</td>\n",
              "      <td>10.05</td>\n",
              "      <td>1679335290</td>\n",
              "      <td>32069789.50</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Copel</td>\n",
              "      <td>Energia</td>\n",
              "      <td>67</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>47</th>\n",
              "      <td>VAMO3</td>\n",
              "      <td>2024-01-26</td>\n",
              "      <td>8.18</td>\n",
              "      <td>0.12</td>\n",
              "      <td>0.00</td>\n",
              "      <td>8.17</td>\n",
              "      <td>421383330</td>\n",
              "      <td>4131341.16</td>\n",
              "      <td>Subiu</td>\n",
              "      <td>Grupo Vamos</td>\n",
              "      <td>Logística</td>\n",
              "      <td>57</td>\n",
              "      <td>Entre 50 e 100</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_principal_subiu",
              "summary": "{\n  \"name\": \"df_principal_subiu\",\n  \"rows\": 48,\n  \"fields\": [\n    {\n      \"column\": \"Ativo\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 44,\n        \"samples\": [\n          \"JBSS3\",\n          \"VIVT3\",\n          \"RAIL3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Data\",\n      \"properties\": {\n        \"dtype\": \"date\",\n        \"min\": \"2024-01-26 00:00:00\",\n        \"max\": \"2024-01-26 00:00:00\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"2024-01-26 00:00:00\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_final\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.49061435052683,\n        \"min\": 2.08,\n        \"max\": 69.5,\n        \"num_unique_values\": 44,\n        \"samples\": [\n          24.34\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"var_dia_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.8273360436231545,\n        \"min\": 0.12,\n        \"max\": 5.2,\n        \"num_unique_values\": 41,\n        \"samples\": [\n          0.82\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Var_pct\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.008273360436231546,\n        \"min\": 0.0012,\n        \"max\": 0.052000000000000005,\n        \"num_unique_values\": 41,\n        \"samples\": [\n          0.008199999999999999\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"valor_inicial\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.229839881026148,\n        \"min\": 2.070063694267516,\n        \"max\": 68.36513869761951,\n        \"num_unique_values\": 44,\n        \"samples\": [\n          24.202048324550063\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qtd_teorica\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1539604143,\n        \"min\": 62305891,\n        \"max\": 5372783971,\n        \"num_unique_values\": 44,\n        \"samples\": [\n          1134986472\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 992728416.5542461,\n        \"min\": 4131341.15789051,\n        \"max\": 4762926995.24809,\n        \"num_unique_values\": 44,\n        \"samples\": [\n          156573285.42541304\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Resultado\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Subiu\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Nome\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 42,\n        \"samples\": [\n          \"Cielo\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"Siderurgia\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Ano_de_fundacao\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 40,\n        \"min\": 8,\n        \"max\": 213,\n        \"num_unique_values\": 34,\n        \"samples\": [\n          41\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Cat_idade\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Entre 50 e 100\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 150
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_analise_segmento = df_principal_subiu.groupby('Segmento')['Variacao_rs'].sum().reset_index()\n",
        "df_analise_segmento"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 707
        },
        "id": "WaZOnyaRshOR",
        "outputId": "d7151b2a-f040-45f2-8db8-ee63d0314455"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "              Segmento    Variacao_rs\n",
              "0            Alimentos   407833683.09\n",
              "1              Aviação    65452205.55\n",
              "2                Banco  4636679965.25\n",
              "3           Construção    37525872.38\n",
              "4             Educação    72295838.99\n",
              "5              Energia  1209821623.57\n",
              "6              Holding   416092244.42\n",
              "7          Imobiliário    18068446.61\n",
              "8            Logística   233902674.79\n",
              "9   Meios de Pagamento    43657683.38\n",
              "10           Mineração  4940442965.55\n",
              "11                Moda    41021792.09\n",
              "12    Papel e Celulose   722946282.71\n",
              "13            Petróleo 11336484517.00\n",
              "14             Química    69054317.64\n",
              "15               Saúde   453917907.01\n",
              "16    Shopping Centers   117732680.08\n",
              "17          Siderurgia   489935930.93\n",
              "18          Tecnologia    15598886.65\n",
              "19    Telecomunicações   292938114.42\n",
              "20              Varejo   237187009.24"
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              "      <th>Segmento</th>\n",
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              "      <td>Alimentos</td>\n",
              "      <td>407833683.09</td>\n",
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              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Aviação</td>\n",
              "      <td>65452205.55</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Banco</td>\n",
              "      <td>4636679965.25</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Construção</td>\n",
              "      <td>37525872.38</td>\n",
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              "      <th>4</th>\n",
              "      <td>Educação</td>\n",
              "      <td>72295838.99</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>Energia</td>\n",
              "      <td>1209821623.57</td>\n",
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              "    <tr>\n",
              "      <th>6</th>\n",
              "      <td>Holding</td>\n",
              "      <td>416092244.42</td>\n",
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              "    <tr>\n",
              "      <th>7</th>\n",
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              "    <tr>\n",
              "      <th>8</th>\n",
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              "    <tr>\n",
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              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>Mineração</td>\n",
              "      <td>4940442965.55</td>\n",
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              "    <tr>\n",
              "      <th>11</th>\n",
              "      <td>Moda</td>\n",
              "      <td>41021792.09</td>\n",
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              "    <tr>\n",
              "      <th>12</th>\n",
              "      <td>Papel e Celulose</td>\n",
              "      <td>722946282.71</td>\n",
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              "    <tr>\n",
              "      <th>13</th>\n",
              "      <td>Petróleo</td>\n",
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              "      <th>14</th>\n",
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              "    <tr>\n",
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              "      <td>Siderurgia</td>\n",
              "      <td>489935930.93</td>\n",
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              "    <tr>\n",
              "      <th>18</th>\n",
              "      <td>Tecnologia</td>\n",
              "      <td>15598886.65</td>\n",
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              "    <tr>\n",
              "      <th>19</th>\n",
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              "      <td>292938114.42</td>\n",
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              "      <th>20</th>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df_analise_segmento",
              "summary": "{\n  \"name\": \"df_analise_segmento\",\n  \"rows\": 21,\n  \"fields\": [\n    {\n      \"column\": \"Segmento\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 21,\n        \"samples\": [\n          \"Alimentos\",\n          \"Siderurgia\",\n          \"Sa\\u00fade\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Variacao_rs\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2697996797.1016526,\n        \"min\": 15598886.650556229,\n        \"max\": 11336484517.004236,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          407833683.0924499,\n          489935930.9283229,\n          453917907.01324\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 151
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_analise_saldo = df_principal.groupby('Resultado')['Variacao_rs'].sum().reset_index()\n",
        "df_analise_saldo"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 143
        },
        "id": "NFY5X7eOtH_6",
        "outputId": "05247ba5-a42d-4108-d91b-a6cb3facafd5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  Resultado    Variacao_rs\n",
              "0    Desceu -6891816486.99\n",
              "1   Estável           0.00\n",
              "2     Subiu 25858590641.35"
            ],
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            "application/vnd.google.colaboratory.intrinsic+json": {
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          },
          "metadata": {},
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    {
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      "source": [
        "fig = px.bar(df_analise_saldo, x='Resultado', y='Variacao_rs', text='Variacao_rs', title='Variação Reais por Resultado')\n",
        "fig.show()"
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      "metadata": {
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        "outputId": "8371f910-9b48-460b-d722-7fb34a4bdd79"
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