Desafios_aula04.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Desafios_aula04.ipynb",
      "provenance": [],
      "collapsed_sections": [
        "NQnaiCie_H5-"
      ],
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/Kur1sutaru/imersaodados3/blob/main/Desafios_aula04.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hg2Lz3uoYUPx"
      },
      "source": [
        "#Aula 4"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "CEHxcFL_YTuv",
        "outputId": "93628985-806d-4d69-913c-296590919c7f"
      },
      "source": [
        "dados_resultados = pd.read_csv('https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_resultados.csv?raw=true')\n",
        "dados_resultados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>5-alpha_reductase_inhibitor</th>\n",
              "      <th>11-beta-hsd1_inhibitor</th>\n",
              "      <th>acat_inhibitor</th>\n",
              "      <th>acetylcholine_receptor_agonist</th>\n",
              "      <th>acetylcholine_receptor_antagonist</th>\n",
              "      <th>acetylcholinesterase_inhibitor</th>\n",
              "      <th>adenosine_receptor_agonist</th>\n",
              "      <th>adenosine_receptor_antagonist</th>\n",
              "      <th>adenylyl_cyclase_activator</th>\n",
              "      <th>adrenergic_receptor_agonist</th>\n",
              "      <th>adrenergic_receptor_antagonist</th>\n",
              "      <th>akt_inhibitor</th>\n",
              "      <th>aldehyde_dehydrogenase_inhibitor</th>\n",
              "      <th>alk_inhibitor</th>\n",
              "      <th>ampk_activator</th>\n",
              "      <th>analgesic</th>\n",
              "      <th>androgen_receptor_agonist</th>\n",
              "      <th>androgen_receptor_antagonist</th>\n",
              "      <th>anesthetic_-_local</th>\n",
              "      <th>angiogenesis_inhibitor</th>\n",
              "      <th>angiotensin_receptor_antagonist</th>\n",
              "      <th>anti-inflammatory</th>\n",
              "      <th>antiarrhythmic</th>\n",
              "      <th>antibiotic</th>\n",
              "      <th>anticonvulsant</th>\n",
              "      <th>antifungal</th>\n",
              "      <th>antihistamine</th>\n",
              "      <th>antimalarial</th>\n",
              "      <th>antioxidant</th>\n",
              "      <th>antiprotozoal</th>\n",
              "      <th>antiviral</th>\n",
              "      <th>apoptosis_stimulant</th>\n",
              "      <th>aromatase_inhibitor</th>\n",
              "      <th>atm_kinase_inhibitor</th>\n",
              "      <th>atp-sensitive_potassium_channel_antagonist</th>\n",
              "      <th>atp_synthase_inhibitor</th>\n",
              "      <th>atpase_inhibitor</th>\n",
              "      <th>atr_kinase_inhibitor</th>\n",
              "      <th>aurora_kinase_inhibitor</th>\n",
              "      <th>...</th>\n",
              "      <th>protein_synthesis_inhibitor</th>\n",
              "      <th>protein_tyrosine_kinase_inhibitor</th>\n",
              "      <th>radiopaque_medium</th>\n",
              "      <th>raf_inhibitor</th>\n",
              "      <th>ras_gtpase_inhibitor</th>\n",
              "      <th>retinoid_receptor_agonist</th>\n",
              "      <th>retinoid_receptor_antagonist</th>\n",
              "      <th>rho_associated_kinase_inhibitor</th>\n",
              "      <th>ribonucleoside_reductase_inhibitor</th>\n",
              "      <th>rna_polymerase_inhibitor</th>\n",
              "      <th>serotonin_receptor_agonist</th>\n",
              "      <th>serotonin_receptor_antagonist</th>\n",
              "      <th>serotonin_reuptake_inhibitor</th>\n",
              "      <th>sigma_receptor_agonist</th>\n",
              "      <th>sigma_receptor_antagonist</th>\n",
              "      <th>smoothened_receptor_antagonist</th>\n",
              "      <th>sodium_channel_inhibitor</th>\n",
              "      <th>sphingosine_receptor_agonist</th>\n",
              "      <th>src_inhibitor</th>\n",
              "      <th>steroid</th>\n",
              "      <th>syk_inhibitor</th>\n",
              "      <th>tachykinin_antagonist</th>\n",
              "      <th>tgf-beta_receptor_inhibitor</th>\n",
              "      <th>thrombin_inhibitor</th>\n",
              "      <th>thymidylate_synthase_inhibitor</th>\n",
              "      <th>tlr_agonist</th>\n",
              "      <th>tlr_antagonist</th>\n",
              "      <th>tnf_inhibitor</th>\n",
              "      <th>topoisomerase_inhibitor</th>\n",
              "      <th>transient_receptor_potential_channel_antagonist</th>\n",
              "      <th>tropomyosin_receptor_kinase_inhibitor</th>\n",
              "      <th>trpv_agonist</th>\n",
              "      <th>trpv_antagonist</th>\n",
              "      <th>tubulin_inhibitor</th>\n",
              "      <th>tyrosine_kinase_inhibitor</th>\n",
              "      <th>ubiquitin_specific_protease_inhibitor</th>\n",
              "      <th>vegfr_inhibitor</th>\n",
              "      <th>vitamin_b</th>\n",
              "      <th>vitamin_d_receptor_agonist</th>\n",
              "      <th>wnt_inhibitor</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 207 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ...  wnt_inhibitor\n",
              "0  id_000644bb2  ...              0\n",
              "1  id_000779bfc  ...              0\n",
              "2  id_000a6266a  ...              0\n",
              "3  id_0015fd391  ...              0\n",
              "4  id_001626bd3  ...              0\n",
              "\n",
              "[5 rows x 207 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "SAXgKy4QbjDn",
        "outputId": "0fe0ebc6-3f32-4ddd-9056-f085db2644f6"
      },
      "source": [
        "dados_resultados['acetylcholine_receptor_agonist'].unique()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([0, 1])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WV3a0L6zdXXf",
        "outputId": "8ea492b6-e4ec-496c-a0ab-9c2e42660bae"
      },
      "source": [
        "dados_resultados.info()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 23814 entries, 0 to 23813\n",
            "Columns: 207 entries, id to wnt_inhibitor\n",
            "dtypes: int64(206), object(1)\n",
            "memory usage: 37.6+ MB\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wBa8ABGrcc1t",
        "outputId": "263b4379-f7d3-49c2-fb43-044a203115e8"
      },
      "source": [
        "contagem_moa = dados_resultados.drop('id', axis=1).sum().sort_values(ascending=False)\n",
        "contagem_moa"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "nfkb_inhibitor                                832\n",
              "proteasome_inhibitor                          726\n",
              "cyclooxygenase_inhibitor                      435\n",
              "dopamine_receptor_antagonist                  424\n",
              "serotonin_receptor_antagonist                 404\n",
              "                                             ... \n",
              "protein_phosphatase_inhibitor                   6\n",
              "autotaxin_inhibitor                             6\n",
              "diuretic                                        6\n",
              "erbb2_inhibitor                                 1\n",
              "atp-sensitive_potassium_channel_antagonist      1\n",
              "Length: 206, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 57
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9B5ZPzLbezz9",
        "outputId": "32285138-3511-4f0d-b772-4ee2eba00f10"
      },
      "source": [
        "dados_resultados.drop('id', axis=1).sum(axis=1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        1\n",
              "1        0\n",
              "2        3\n",
              "3        0\n",
              "4        1\n",
              "        ..\n",
              "23809    1\n",
              "23810    1\n",
              "23811    0\n",
              "23812    1\n",
              "23813    0\n",
              "Length: 23814, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 58
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "w2bhDXghgnQM",
        "outputId": "57add3ef-d22e-47ed-82de-1e892bc0bcc4"
      },
      "source": [
        "dados_resultados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>5-alpha_reductase_inhibitor</th>\n",
              "      <th>11-beta-hsd1_inhibitor</th>\n",
              "      <th>acat_inhibitor</th>\n",
              "      <th>acetylcholine_receptor_agonist</th>\n",
              "      <th>acetylcholine_receptor_antagonist</th>\n",
              "      <th>acetylcholinesterase_inhibitor</th>\n",
              "      <th>adenosine_receptor_agonist</th>\n",
              "      <th>adenosine_receptor_antagonist</th>\n",
              "      <th>adenylyl_cyclase_activator</th>\n",
              "      <th>adrenergic_receptor_agonist</th>\n",
              "      <th>adrenergic_receptor_antagonist</th>\n",
              "      <th>akt_inhibitor</th>\n",
              "      <th>aldehyde_dehydrogenase_inhibitor</th>\n",
              "      <th>alk_inhibitor</th>\n",
              "      <th>ampk_activator</th>\n",
              "      <th>analgesic</th>\n",
              "      <th>androgen_receptor_agonist</th>\n",
              "      <th>androgen_receptor_antagonist</th>\n",
              "      <th>anesthetic_-_local</th>\n",
              "      <th>angiogenesis_inhibitor</th>\n",
              "      <th>angiotensin_receptor_antagonist</th>\n",
              "      <th>anti-inflammatory</th>\n",
              "      <th>antiarrhythmic</th>\n",
              "      <th>antibiotic</th>\n",
              "      <th>anticonvulsant</th>\n",
              "      <th>antifungal</th>\n",
              "      <th>antihistamine</th>\n",
              "      <th>antimalarial</th>\n",
              "      <th>antioxidant</th>\n",
              "      <th>antiprotozoal</th>\n",
              "      <th>antiviral</th>\n",
              "      <th>apoptosis_stimulant</th>\n",
              "      <th>aromatase_inhibitor</th>\n",
              "      <th>atm_kinase_inhibitor</th>\n",
              "      <th>atp-sensitive_potassium_channel_antagonist</th>\n",
              "      <th>atp_synthase_inhibitor</th>\n",
              "      <th>atpase_inhibitor</th>\n",
              "      <th>atr_kinase_inhibitor</th>\n",
              "      <th>aurora_kinase_inhibitor</th>\n",
              "      <th>...</th>\n",
              "      <th>protein_synthesis_inhibitor</th>\n",
              "      <th>protein_tyrosine_kinase_inhibitor</th>\n",
              "      <th>radiopaque_medium</th>\n",
              "      <th>raf_inhibitor</th>\n",
              "      <th>ras_gtpase_inhibitor</th>\n",
              "      <th>retinoid_receptor_agonist</th>\n",
              "      <th>retinoid_receptor_antagonist</th>\n",
              "      <th>rho_associated_kinase_inhibitor</th>\n",
              "      <th>ribonucleoside_reductase_inhibitor</th>\n",
              "      <th>rna_polymerase_inhibitor</th>\n",
              "      <th>serotonin_receptor_agonist</th>\n",
              "      <th>serotonin_receptor_antagonist</th>\n",
              "      <th>serotonin_reuptake_inhibitor</th>\n",
              "      <th>sigma_receptor_agonist</th>\n",
              "      <th>sigma_receptor_antagonist</th>\n",
              "      <th>smoothened_receptor_antagonist</th>\n",
              "      <th>sodium_channel_inhibitor</th>\n",
              "      <th>sphingosine_receptor_agonist</th>\n",
              "      <th>src_inhibitor</th>\n",
              "      <th>steroid</th>\n",
              "      <th>syk_inhibitor</th>\n",
              "      <th>tachykinin_antagonist</th>\n",
              "      <th>tgf-beta_receptor_inhibitor</th>\n",
              "      <th>thrombin_inhibitor</th>\n",
              "      <th>thymidylate_synthase_inhibitor</th>\n",
              "      <th>tlr_agonist</th>\n",
              "      <th>tlr_antagonist</th>\n",
              "      <th>tnf_inhibitor</th>\n",
              "      <th>topoisomerase_inhibitor</th>\n",
              "      <th>transient_receptor_potential_channel_antagonist</th>\n",
              "      <th>tropomyosin_receptor_kinase_inhibitor</th>\n",
              "      <th>trpv_agonist</th>\n",
              "      <th>trpv_antagonist</th>\n",
              "      <th>tubulin_inhibitor</th>\n",
              "      <th>tyrosine_kinase_inhibitor</th>\n",
              "      <th>ubiquitin_specific_protease_inhibitor</th>\n",
              "      <th>vegfr_inhibitor</th>\n",
              "      <th>vitamin_b</th>\n",
              "      <th>vitamin_d_receptor_agonist</th>\n",
              "      <th>wnt_inhibitor</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 207 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  ...  wnt_inhibitor\n",
              "0  id_000644bb2  ...              0\n",
              "1  id_000779bfc  ...              0\n",
              "2  id_000a6266a  ...              0\n",
              "3  id_0015fd391  ...              0\n",
              "4  id_001626bd3  ...              0\n",
              "\n",
              "[5 rows x 207 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 59
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "bPHy80Lqfc3T",
        "outputId": "e622ab21-e370-4831-ea29-55c2751cbea1"
      },
      "source": [
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-60</th>\n",
              "      <th>c-61</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4805</td>\n",
              "      <td>0.4965</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4083</td>\n",
              "      <td>0.0319</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.5477</td>\n",
              "      <td>-0.7576</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.1220</td>\n",
              "      <td>-0.3752</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2274</td>\n",
              "      <td>0.3215</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 877 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-96    c-97    c-98    c-99\n",
              "0  id_000644bb2  com_droga     24   D1  ... -0.3981  0.2139  0.3801  0.4176\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.1522  0.1241  0.6077  0.7371\n",
              "2  id_000a6266a  com_droga     48   D1  ... -0.6417 -0.2187 -1.4080  0.6931\n",
              "3  id_0015fd391  com_droga     48   D1  ... -1.6210 -0.8784 -0.3876 -0.8154\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.1094  0.2885 -0.3786  0.7125\n",
              "\n",
              "[5 rows x 877 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 60
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HS0ZHSeTjFrr"
      },
      "source": [
        "dados_resultados['n_moa'] = dados_resultados.drop('id', axis=1).sum(axis=1)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MNMsak-ih9PQ",
        "outputId": "f0b0f899-e0ed-410a-cda4-1d5fcceb8717"
      },
      "source": [
        "dados_resultados['n_moa'] != 0"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0         True\n",
              "1        False\n",
              "2         True\n",
              "3        False\n",
              "4         True\n",
              "         ...  \n",
              "23809     True\n",
              "23810     True\n",
              "23811    False\n",
              "23812     True\n",
              "23813    False\n",
              "Name: n_moa, Length: 23814, dtype: bool"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 62
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "bba-i1D8hcu8",
        "outputId": "52da98e7-17b6-46f5-9949-8347f58719cb"
      },
      "source": [
        "dados_resultados['ativo_moa'] = (dados_resultados['n_moa'] != 0)\n",
        "dados_resultados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>5-alpha_reductase_inhibitor</th>\n",
              "      <th>11-beta-hsd1_inhibitor</th>\n",
              "      <th>acat_inhibitor</th>\n",
              "      <th>acetylcholine_receptor_agonist</th>\n",
              "      <th>acetylcholine_receptor_antagonist</th>\n",
              "      <th>acetylcholinesterase_inhibitor</th>\n",
              "      <th>adenosine_receptor_agonist</th>\n",
              "      <th>adenosine_receptor_antagonist</th>\n",
              "      <th>adenylyl_cyclase_activator</th>\n",
              "      <th>adrenergic_receptor_agonist</th>\n",
              "      <th>adrenergic_receptor_antagonist</th>\n",
              "      <th>akt_inhibitor</th>\n",
              "      <th>aldehyde_dehydrogenase_inhibitor</th>\n",
              "      <th>alk_inhibitor</th>\n",
              "      <th>ampk_activator</th>\n",
              "      <th>analgesic</th>\n",
              "      <th>androgen_receptor_agonist</th>\n",
              "      <th>androgen_receptor_antagonist</th>\n",
              "      <th>anesthetic_-_local</th>\n",
              "      <th>angiogenesis_inhibitor</th>\n",
              "      <th>angiotensin_receptor_antagonist</th>\n",
              "      <th>anti-inflammatory</th>\n",
              "      <th>antiarrhythmic</th>\n",
              "      <th>antibiotic</th>\n",
              "      <th>anticonvulsant</th>\n",
              "      <th>antifungal</th>\n",
              "      <th>antihistamine</th>\n",
              "      <th>antimalarial</th>\n",
              "      <th>antioxidant</th>\n",
              "      <th>antiprotozoal</th>\n",
              "      <th>antiviral</th>\n",
              "      <th>apoptosis_stimulant</th>\n",
              "      <th>aromatase_inhibitor</th>\n",
              "      <th>atm_kinase_inhibitor</th>\n",
              "      <th>atp-sensitive_potassium_channel_antagonist</th>\n",
              "      <th>atp_synthase_inhibitor</th>\n",
              "      <th>atpase_inhibitor</th>\n",
              "      <th>atr_kinase_inhibitor</th>\n",
              "      <th>aurora_kinase_inhibitor</th>\n",
              "      <th>...</th>\n",
              "      <th>radiopaque_medium</th>\n",
              "      <th>raf_inhibitor</th>\n",
              "      <th>ras_gtpase_inhibitor</th>\n",
              "      <th>retinoid_receptor_agonist</th>\n",
              "      <th>retinoid_receptor_antagonist</th>\n",
              "      <th>rho_associated_kinase_inhibitor</th>\n",
              "      <th>ribonucleoside_reductase_inhibitor</th>\n",
              "      <th>rna_polymerase_inhibitor</th>\n",
              "      <th>serotonin_receptor_agonist</th>\n",
              "      <th>serotonin_receptor_antagonist</th>\n",
              "      <th>serotonin_reuptake_inhibitor</th>\n",
              "      <th>sigma_receptor_agonist</th>\n",
              "      <th>sigma_receptor_antagonist</th>\n",
              "      <th>smoothened_receptor_antagonist</th>\n",
              "      <th>sodium_channel_inhibitor</th>\n",
              "      <th>sphingosine_receptor_agonist</th>\n",
              "      <th>src_inhibitor</th>\n",
              "      <th>steroid</th>\n",
              "      <th>syk_inhibitor</th>\n",
              "      <th>tachykinin_antagonist</th>\n",
              "      <th>tgf-beta_receptor_inhibitor</th>\n",
              "      <th>thrombin_inhibitor</th>\n",
              "      <th>thymidylate_synthase_inhibitor</th>\n",
              "      <th>tlr_agonist</th>\n",
              "      <th>tlr_antagonist</th>\n",
              "      <th>tnf_inhibitor</th>\n",
              "      <th>topoisomerase_inhibitor</th>\n",
              "      <th>transient_receptor_potential_channel_antagonist</th>\n",
              "      <th>tropomyosin_receptor_kinase_inhibitor</th>\n",
              "      <th>trpv_agonist</th>\n",
              "      <th>trpv_antagonist</th>\n",
              "      <th>tubulin_inhibitor</th>\n",
              "      <th>tyrosine_kinase_inhibitor</th>\n",
              "      <th>ubiquitin_specific_protease_inhibitor</th>\n",
              "      <th>vegfr_inhibitor</th>\n",
              "      <th>vitamin_b</th>\n",
              "      <th>vitamin_d_receptor_agonist</th>\n",
              "      <th>wnt_inhibitor</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 209 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  5-alpha_reductase_inhibitor  ...  n_moa  ativo_moa\n",
              "0  id_000644bb2                            0  ...      1       True\n",
              "1  id_000779bfc                            0  ...      0      False\n",
              "2  id_000a6266a                            0  ...      3       True\n",
              "3  id_0015fd391                            0  ...      0      False\n",
              "4  id_001626bd3                            0  ...      1       True\n",
              "\n",
              "[5 rows x 209 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 63
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "0r4V83bujiao",
        "outputId": "9519db5a-8def-4bc6-da2d-85357da32cff"
      },
      "source": [
        " dados_combinados = pd.merge(dados, dados_resultados[['id','n_moa', 'ativo_moa']], on='id')\n",
        " dados_combinados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-62</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3680</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.3905</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.0444</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-2.3820</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1535</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 879 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-98    c-99  n_moa  ativo_moa\n",
              "0  id_000644bb2  com_droga     24   D1  ...  0.3801  0.4176      1       True\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.6077  0.7371      0      False\n",
              "2  id_000a6266a  com_droga     48   D1  ... -1.4080  0.6931      3       True\n",
              "3  id_0015fd391  com_droga     48   D1  ... -0.3876 -0.8154      0      False\n",
              "4  id_001626bd3  com_droga     72   D2  ... -0.3786  0.7125      1       True\n",
              "\n",
              "[5 rows x 879 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 64
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rcU4LnVnkch6",
        "outputId": "74591754-b555-446b-8d3f-b75f5cc31f95"
      },
      "source": [
        "dados_combinados.query('tratamento == \"com_controle\"' )['ativo_moa'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "False    1866\n",
              "Name: ativo_moa, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 65
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "eyBpIF8pmBrJ",
        "outputId": "db3767a9-7b0b-49ad-a5a2-e378e7efe662"
      },
      "source": [
        "dados_combinados.query('tratamento == \"com_droga\"' )['ativo_moa'].value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True     14447\n",
              "False     7501\n",
              "Name: ativo_moa, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 66
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 519
        },
        "id": "qSPy0nsImdIO",
        "outputId": "33bf979a-8f0f-44d9-d460-e9c668a32962"
      },
      "source": [
        "composto_principal = dados_combinados['composto'].value_counts().index[:5]\n",
        "plt.figure(figsize=(12,8))\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal'), y= 'g-0', x='composto', hue='ativo_moa')\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f70e69b1f50>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 67
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAtYAAAHlCAYAAADRFrtYAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzdeXhU5d3/8c/MZBEIJCGJQmVTH0EoKMhiISEogiKSIKgVKWitqG1FQcsjuAECIkFBqUjB5YFaFX9apRBUEEWWAbQqCCKIiEAACYSQBMKWzMz9+yNlaiTb4JnMmeT9ui6uizNnub8zZ+bMZ+7c5xyHMcYIAAAAwC/iDHUBAAAAQE1AsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALBAR6gKslJd3TD4fVw8EAACA9ZxOh+Lj65U7v0YFa5/PEKwBAAAQEgwFAQAAACxAsAYAAAAsQLAGAAAALFCjxlgDAAAgMF6vR3l5OfJ4ikJdiq1EREQpPj5JLlfV4zLBGgAAoBbLy8vROefUVb16jeRwOEJdji0YY3Ts2BHl5eUoMbFxlddjKAgAAEAt5vEUqV69BoTqn3A4HKpXr0HAvfgEawAAgFqOUH2ms3lNCNYAAACABQjWAAAAgAUI1gAAAPhFnn56subNeznUZYQcVwUBAABAlb3/fqYyM/+lv/3tFf9j//u/j4SwIvugxxoAAACwAMEaAAAAZ/jHP+bpt7/tr969UzVkyM1aufIT7dq1U88885S++eZr9e7dXX36XClJevLJ8XrxxVmSpN/97iatWbPavx2Px6N+/Xpp27ZvJUlu90oNGfJb9elzpYYPv1u7du2stJabbkrTG2+8qttvH6RevVL01FMTdPhwrv7yl/vVu3eqRoz4s44cOeJfvqI2ynpeViFYAwAA4Aznn99Es2a9rKVLV+iOO+7SxImPKyamvkaNeli//nU7LVu2WkuWrDhjvV69rtVHHy31T//7358qNjZOrVpdoqys3Ro//lGNGPGgFi/+SF27Jmv06AdUXFxcaT0rVizXs8++oPnz39WaNas1atT9uueeP2vx4mUyxqd//vNNSaq0jbKe16FDhyx5zao9WGdkZKhnz55q1aqVvvvuO//jO3fu1C233KJrr71Wt9xyi3bt2lXdpQEAAOA/evbspcTEJDmdTl199TVq0qSZtm7dXOl6vXv3kdu9SidPnpQkLVu2RL16XStJWr58mbp2TVHnzr9RRESEbr11qE6dOqWvv95Y6XZvuukWNWyYoKSkc3XZZe3Vpk1btWx5iaKjo5WaeqW2b99WpTbO9nlVRbWfvHj11Vfrtttu0+9+97tSj48bN06DBw9W//79tXDhQo0dO1avvvpqdZcHAAAASR98sFj/7/+9oezsHyVJJ06cUEFBvpxOV4XrNWnSVC1atNCaNauUnJwqt3uV5s59XZJ06FCOGjX67y3CnU6nzj33PB06lFNpPfHxDf3/j44+54zp48dPVKmN8p6XFao9WHfq1OmMx3Jzc7VlyxbNnTtXktSvXz9NnDhRhw8fVsOGDc9YHkDwrVmzSm73yoDWOX1gio2NC7i9lJQeSk5ODXg9AID1srP3a+rUJ/Xcc39T27bt5HK59PvfD5YxVbsj4enhID6fTy1aXKAmTZpKkhITk7Rjx/f+5YwxOnjwgBITkyyrvaI2KnpeVrDF5fb279+v8847Ty5XyS8gl8ulc889V/v37w8oWCckxASrRKDWadCgjiIjK+6V+LkjRwokSYmJCWfVXlJS/YDXAwD8MgcPOhURUXp0cHHxKTkcDiUmNlREhFMffJCpnTt3yOl0KDExQTk5B2WMV5GRkZJKwrbT6fBv59pr++jFF/+mo0ePqE+f6/yP9+59jV57bZ42bPhcHTpcrrfemq+oqCh16NDhjBp+zuX6b50Oh0q153Q65HBIERHOCtvYu3dPuc+rrPadTmdA3022CNZWyc0tlM9n0U8OoJZr166z2rXrHNA6GRkTJUkPPnh21zPNyTl6VusBAM6ez+eTx+Mr9VjTpi10yy2/07Bhv5fT6VCfPterXbvL5PMZtW/fSRdccKH69u0tp9Oh9977WMYY+XzGv524uAS1bdtOX321Xk888ZT/8fPPb6bHH5+oadOmKifnoC6+uJWmTJkuh8N1Rg0/5/X+t05jVKo9n8/IGMnj8VXYRkXPq6z2fT5fqe8mp9NRYUeuwxirOr8D07NnT82ePVstW7ZUbm6urr32Wn322WdyuVzyer264oor9OGHHwbUY02wBkLrdLAePfrxEFcCAKiq7OzdatSoeajLsKWfvzaVBWtbXG4vISFBrVu31uLFiyVJixcvVuvWrRlfDQAAgLBR7UNBJk2apA8//FCHDh3SHXfcobi4OL333nsaP368xowZo1mzZqlBgwbKyMio7tIAAAAQAtnZ2Ro69OYy5/3jH2+rUaNG1VzR2QnZUJBgYCgIEFoMBQGA8MNQkPKF5VAQAAAAINwRrAEAAAALEKwBAAAAC9So61gDAADAGlOmTlFefoHl242Pi9WYh8ZYvl07IFgDAADgDHn5BToZ39X67eatq9JyN92UpqioKEVFRUuSLr+8o+6//y/lLjt16rO68ML/sazOs0GwBgAAgC1NmpQR8rAcCII1AAAAbO/DD5fo7bfny+MpliTde+9IderU5Yzl/u//XtRHHy1VVFS0HA7pr3+do/r16+ubbzZr9uzndezYMUnSsGF/VLduKZbWSLAGAACALT322Gj/UJChQ3+vF1+cJ4fDoaysXRox4s9asOD9UssfOVKgt956QwsXLlF09Dk6fvyYoqKidfToUT3zzGQ9/fRflZiYqEOHDumuu27Tq6/+P9WvX9+yegnWAAAAsKWfDgXZsmWzHnxwuHJychQREaHDh3OVm3tICQmJ/uXr1YvR+ec31cSJ49Sly2/UrVt31a1bT5s3b9T+/T9q1Kj7/cs6HA7t27dHl1zSxrJ6CdYAAACwvfHjH9Xw4Q8oNfVK+Xw+9eqVoqKiolLLuFwuzZkzV19/vVHr13+hO+8comnTnpcx0kUXXawXXngpqDVyHWsAAADYXmFhoRo3/pUk6b33Fp0RqiXp+PFjys/PV4cOHXXnnffowgsv0g8/7FDbtpdq794srV//hX/ZrVu/kTHG0hrpsQYAAMAZ4uNiq3xpvEC3ezbuv/9BPfLIKNWvX19XXNFNsbFnbqewsFCPPvqQiopOyefzqWXLS9Sjx1WKjo7WlCnT9cILMzRjxjR5PMX61a/OV0bGs3I4HL/0Kfk5jNVRPYRycwvl89WYpwOEnYyMiZKk0aMfD3ElAICqys7erUaNmoe6DFv6+WvjdDqUkBBT7vIMBQEAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACzAdawBAABwhhnPTFRhwWHLtxsT21AjRlV8Wda77rpdxcXF8niKtWdPli644CJJUsuWrfTII+Msr8kqBGsAAACcobDgsIZeaP12//FD5WH9pZf+Lknav/9HDRs2VPPmvVFqvsfjUUSE/WKs/SoCAAAAfuamm9J09dXXaP36z3Xhhf+jyy7roLVrV2vSpKmSpPffzyw1/dpr87Ry5XJ5vV4lJp6r0aMfVUJCYlBrZIw1AAAAwsKxY8f00kuv6uGHx1a43NKl72vfvn2aM2ee/u//XlfXrsmaOfO5oNdHjzUAAADCQp8+11dpObd7lb79dqv+8IchkiSv16OYmPJvRW4VgjUAAADCQt26dfz/d7lc8vmMf7qo6JT//8YY3X77H9SvX/9qrY+hIAAAAAg755/fVDt2bFdRUZGKi4v1ySfL/fNSUlK1YME/deTIEUlSUVGRtm//Lug10WMNAACAM8TENqzSFTzOZrtWaNu2nTp16qKhQ3+rxMQk/c//XKzc3EOSSoaMFBTk67777pYk+Xw+DRhwsy6+uKUlbZfHYYwxlS8WHnJzC0v9SQBA9crImChJGj264uuTAgDsIzt7txo1ah7qMmzp56+N0+lQQkL5Y7UZCgIAAABYgGANAAAAWIBgDQAAAFiAYA0AAFDL1aBT7ixzNq8JwRoAAKAWi4iI0rFjRwjXP2GM0bFjRxQRERXQelxuDwAAoBaLj09SXl6OCgvzQ12KrURERCk+PimwdYJUCwAAAMKAyxWhxMTGoS6jRmAoCAAAAGABgjUAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1AAAAYAFb3Xnxk08+0YwZM2SMkTFGw4cP1zXXXBPqsgAAAIBK2SZYG2P00EMP6fXXX1fLli317bff6tZbb1WvXr3kdNKxDgAAAHuzVWJ1Op06evSoJOno0aM699xzCdUAAAAIC7bpsXY4HHruuef05z//WXXr1tWxY8f04osvBrSNhISYIFUHoCoiI12SpKSk+iGuBACA6mebYO3xeDRnzhzNmjVLHTt21JdffqmRI0fqvffeU7169aq0jdzcQvl8JsiVAihPcbFXkpSTczTElQAAYD2n01FhR65txlls3bpVBw8eVMeOHSVJHTt2VJ06dbRjx44QVwYAAABUzjbBulGjRsrOztYPP/wgSdqxY4dyc3PVrFmzEFcGAAAAVM42Q0GSkpI0fvx4jRgxQg6HQ5I0efJkxcXFhbgyAAAAoHK2CdaSlJ6ervT09FCXAQAAAATMNkNBAAAAgHBGsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAA1S4/P09TpkxQQUF+qEsBLEOwBgAA1S4zc4G2b9+mRYveDXUpgGUI1gAAoFrl5+fJ7V4pY4zc7lX0WqPGIFgDAIBqlZm5QD6fkST5fD56rVFjEKwBAEC1WrdujbxejyTJ6/Vo3bo1Ia4IsAbBGgAAVKuuXZPlckVIklyuCHXtmhziigBrEKwBAEC1SksbIKfTIUlyOp1KTx8Y4ooAaxCsAQBAtYqLi1dKSg85HA6lpKQqNjYu1CUBlogIdQEAAKD2SUsboH379tJbjRrFYYwxoS7CKrm5hf6zjAH81xtvvKo9e3YHvZ2srJI2mjVrHvS2JKlp0+YaPPi2amkLAACn06GEhJhy59NjDdQCe/bs1q7vv1WjmOB+5OvKJ0k6mf19UNuRpOxCT9DbAAAgEARroJZoFBOhOy5tGOoyLDN30+FQlwAAQCmcvAgAAABYgGANAAAAWMBWQ0FOnTqlyZMna926dYqOjlb79u01ceLEUJcFAAAAVMpWwfrpp59WdHS0li5dKofDoUOHDoW6JAAAAKBKbBOsjx07pn/9619auXKlHI6SuzElJiaGuCoAAACgamwzxnrPnj2Ki4vTzJkzNXDgQA0dOlRffPFFqMsCAAAAqsQ2PdZer1d79uxRmzZtNHr0aG3cuFF//OMftWzZMsXElH8h7p+q6ILdQG0WGenSyVAXEQSRkS4lJdUPdRlArbd8+XItW7YsoHXy8/MlSXFxgd3OvHfv3urZs2dA6wDVxTbBunHjxoqIiFC/fv0kSZdddpni4+O1c+dOtWvXrkrb4M6LQNmKi72hLiEoiou9ysk5GuoygFrvyJETAR9ncnNLrkVfr15gP46PHDnB5x4hEzZ3XmzYsKGuuOIKrVmzRikpKdq5c6dyc3PVvHn13BoZAACcneTkVCUnpwa0TkZGyVW/Ro9+PBglASFhm2AtSU888YQeeeQRZWRkKCIiQlOnTlWDBg1CXRYAAABQKVsF66ZNm+of//hHqMsAAAAAAmabq4IAAAAA4YxgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWCAi1AUACL6CgnzlFXo0d9PhUJdimexCj+IL8kNdBgAAfvRYA4CN5OfnacqUCSrgRwMAhB16rIFaIDY2TtEnDumOSxuGuhTLzN10WOfExoW6DMtlZi7Q9u3btGjRuxo69A+hLgcAEACCNbRmzSq53SsDXu90j1psgOEmJaWHkpNTA24PqOny8/Pkdq+UMUZu9yqlpw8M+PMFAAgdhoLgrBUUFKigoCDUZQA1RmbmAvl8RpLk8/m0aNG7Ia4IABAIeqyh5OTUs+pBzsiYKEkaPfpxq0sCaqV169bI6/VIkrxej9atW8NwEAAII/RYA4BNdO2aLJerpL/D5YpQ167JIa4IABAIgjUA2ERa2gA5nQ5JktPpVHr6wBBXBAAIBMEaAGwiLi5eKSk95HA4lJKSyomLABBmGGMNADaSljZA+/btpbcaAMIQPdYAAACABQjWAGAjP71BDAAgvBCsAcAmfn6DGG5rDgDhhWANADbBDWIAILwRrAHAJsq6QQwAIHwQrAHAJrhBDACEN4I1ANgEN4gBgPBGsAYAm+AGMQAQ3rhBDADYCDeIAYDwRbAGABuJi4vXmDFjQ10GAOAs2HIoyMyZM9WqVSt99913oS4FAAAAqBLbBetvvvlGX331lc4///xQlwIAAABUma2CdVFRkSZMmKDx48eHuhQAAAAgILYaYz1jxgylp6erSZMmZ7V+QkKMxRWhIpGRLklSUlL9EFeCykRGunQy1EUEQWSki/cfEKb4DkFNZJtgvWHDBm3evFmjRo06623k5hb6bweM4Csu9kqScnKOhrgSVOb0vqppiou9vP+AMMV3CMKR0+mosCPXNkNBPv/8c+3YsUNXX321evbsqezsbN15551yu92hLg0AAAColG16rO+++27dfffd/umePXtq9uzZatmyZQirAgAAAKrGNj3WAAApPz9PU6ZMUEFBfqhLAQAEyLbBevny5fRWA6h1MjMXaPv2bVq06N1QlwIACJBtgzUA1Db5+XlavXqljDFyu1fSaw0AYYZgDQA2kZm5QF6vR5Lk8XjotQaAMEOwBgCbWLvWLWNKLhlqjNHatVwVCQDCCcEaAGwiISGhwmkAgL3Z5nJ7AIIru9CjuZsOB7WNwiKfJCkmKvi/2bMLPWoR9FaqV25uboXTAAB7I1gDtUDTps2rpZ2DWbslSYmNgt9eC1Xf86ou3bql6JNPPio1DQAIHwRroBYYPPi2amknI2OiJGn06Merpb2aJi1tQKlgnZ4+MITVAAACxRhrALCJI0cKKpwGANgbwRoAbOLFF18oNT1nzswQVQIAOBsEawCwiR9/3FfhNADA3gjWAGATv/rV+RVOA0BNl5+fpylTJoTtnWcJ1gBgE3fffW+p6XvuGR6iSgAgNDIzF2j79m1he+dZgjUA2ESDBrEVTgNATZafnye3e6WMMXK7V4VlrzXBGgBsIjNzgZzOksOy0+kM2x4bADgbmZkL5PMZSZLP5wvLYyDBGgBsYt26NfL5Su5e6fP5tG7dmhBXBADVZ926NfJ6PZIkr9cTlsdAgjUA2ETXrslyuUru2+VyRahr1+QQVwQA1acmHAMJ1gBgE2lpA+R0OiSVDAXhzosAapOacAwkWAOATcTFxSslpYccDodSUlIVGxsX6pIAoNrUhGNgRKgLAAD8V1raAO3btzcse2oA4JcK92MgwRoAbCQuLl5jxowNdRmoxd5441Xt2bM76O1kZZW0kZExMehtSVLTps01ePBt1dIWzl64HwMJ1gAAwG/Pnt3a9f23ahQT3IhQVyVXwDmZ/X1Q25Gk7EJP0NsAJII1AAD4mUYxEbrj0oahLsMyczcdDnUJqKL8/DzNnv28/vSn+8NyjDUnLwIAAMAWuKU5AAAA8AtxS3MAAADAAjXhluZVGmO9Y8cOLVy4UNu3b9exY8dUr149XXzxxerfv78uuuiiYNcIAACAGq6sW5oPHfqHEFcVmEp7rBcvXqxbbrlF2dnZ6ty5s9LS0tSlSxcdOHBAgwYN0vvvv18ddQIAAKAGqwm3NK+0x3r69OmaM2eOOnbseMa8L7/8Uv/7v/+rvn37BqU4AKhtsrJ2KSNjosaMGaumTZuHuhwAqDZpaQPkdq+U11uDb2mel5enX//612XOa9OmjfLy8iwvCgBqq7/+dZpOnDihv/51WqhLAYBqVRNuaV5psO7WrZseeeQRZWVllXo8KytLjz32mLp16xa04gCgNsnK2qXDh3MlSbm5h6rl7ncAYCdpaQN08cWtwrK3WqpCsJ48ebIkqW/fvurQoYNSUlLUoUMHXX/99aXmAwB+mZ/3UtNrDaC2OX1L83DsrZaqMMY6NjZW06dP14kTJ7Rr1y7/VUFatGihOnXqVEeNAFArnO6tPi0391CIKgEAnI0qX8e6Tp06at26tTp16qQdO3YQqgEAAICfOKsbxIwdO9bqOgCg1ouOjq5wGgBquvz8PE2ZMiEs77oonWWwNsZYXQcA1HqtWrUpNd26dZtylgSAmikzc4G2b98WlnddlM4yWHfq1MnqOgCg1tu2bWup6a1bt5azJADUPPn5eXK7V8oYI7d7VVj2WlfpluaSNGPGDP//27Zt65+OiopSo0aN1L17dyUmJlpfIQDUEnFxcTpwILvUNADUFpmZC+TzlYyK8Pl8WrTo3Zp3S/PTdu3apZdeekmfffaZsrKy9Nlnn+mll17S1q1bNX/+fPXq1UurVq0KZq0AUKPl5ByscBoAarJ169bI6/VIkrxej9atWxPiigJX5R5rn8+nZ599Vr179/Y/9tFHH2nx4sV66623tGDBAk2bNk2pqalBKRQAarqfn7/C+SwAapOuXZO1atUKeb0euVwR6to1OdQlBazKPdZut1s9e/Ys9dhVV13l76VOT0/Xnj17rK0OAGoRgjWA2iwtbYCcTockyel0huXdF6scrJs1a6b58+eXeuzNN99Us2bNJEl5eXlc2xoAfgGHw1nhNADUZHFx8UpJ6SGHw6GUlNSwvPtilYeCTJo0Sffdd59eeuklnXfeeTpw4IBcLpeef/55SdLOnTs1YsSIoBUKADVdVFSUTp06WWoaAGqTtLQB2rdvb1j2VksBBOtf//rXWrp0qTZu3KiDBw8qKSlJ7du3V2RkpCSpc+fO6ty5c9AKBYCa7qehuqxpAKjp4uLiNWZM+N6IsMrBWpIiIyO5hjUAAABQhoCCdTDl5eXpoYceUlZWlqKiotS8eXNNmDBBDRs2DHVpAAAACNCaNavkdq8MaJ3TN4UJdHx1SkoPJSeH/sp0tjkzxuFwaNiwYVq6dKkyMzPVtGlTPfPMM6EuCwCqjdPprHAaAGq6goICFRQUhLqMs2abHuu4uDhdccUV/un27dufcRUSAKjJfD5fhdMAEE6Sk1MD7kXOyJgoSRo9+vFglBR0tgnWP+Xz+TR//vwzrptdmYSEmCBVhLJERrokSUlJ9UNcCeyC90Rpy5cv17Jly37RNqZPn1yl5Xr37h3wMRMoS2HhER0q9GjupsOhLsUy2YUeJRYe4dgUBsL9e8SWwXrixImqW7euhgwZEtB6ubmF/nvMI/iKi72SpJycoyGuBHbBe6K0I0dO+F+TqoiIiJDH4yk1XdX1jxw5wesOS3i9NfMvJV6vj89IGLD794jT6aiwI9d2wTojI0O7d+/W7NmzGV8IIKwF+mfQrKxdGj/+Ef/0449PVNOmzYNRGlCu2Ng4RZ84pDsurTkXD5i76bDOCcObjSD82CpYT58+XZs3b9aLL77IjREA1DrNmrXw91onJp5LqAaAMGObYL19+3bNmTNHLVq00KBBgyRJTZo00QsvvBDiygCg+px/fhNlZe3Wffc9EOpSAAABsk2wvvjii7Vt27ZQlwEAIXXOOXXUsuUl9FYDQBhiEDMAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1AAAAYAHbXBUE1njjjVe1Z8/uamkrK6uknYyMiUFvq2nT5ho8+LagtwMAAHC2CNY1zJ49u7Xr+2/VKCb4u7auSm57ezL7+6C2k13oqXwhAACAECNY10CNYiJq3K1oAQAA7I4x1gAAAIAFCNYAAACABQjWAAAAgAUI1gAAAIAFCNYAAACABQjWAAAAgAUI1gAAAIAFCNYAAACABQjWAAAAgAUI1gAAAIAFuKU5gDKtWbNKbvfKgNbJytotScrImBhweykpPZScnBrwegAA2AXBGoBlYmNjQ10CAAAhQ7AGUKbk5FR6kAEACABjrAEAAAALEKwBAAAACzAUBAAAlJJd6NHcTYeD2kZhkU+SFBMV/D6+7EKPWgS9FYBgDQAAfqJp0+bV0s7B/1xFKLFR8Ntroep7XqjdCNYAAMBv8ODbqqWd05flHD368WppD6gOjLEGAAAALECwBgAAACxAsAYAAAAswBhrAAAAVOiNN17Vnj27g95O1n9Oaj09Bj+YmjZtbvk5BQRrAAAAVGjPnt3a9f23ahQT3OhYVyWXYTyZ/X1Q28ku9ARluwRrAAAAVKpRTITuuLRhqMuwRLCu084YawAAAMACBGsAAADAAgRrAAAAwAKMsa5hCgrylVfoCdrYoVDILvQoviA/1GWgluOMeABAZQjWAFAFe/bs1rbt38t1TlxQ2/F5XZKk7/ccCmo73pP8WAUAqxGsa5jY2DhFnzhUY87alUrO3D0nNrhhBqgK1zlxqtv86lCXYYnjuz8OdQkAUOMwxhoAAACwAMEaAAAAsADBGgAAALAAwRoAAACwACcvAgAAoEI17XK+wbqULz3WAAAAgAVs1WO9c+dOjRkzRvn5+YqLi1NGRoZatGgR6rIAAABqtZp2Od9gXcrXVj3W48aN0+DBg3YI+DgAAB/QSURBVLV06VINHjxYY8eODXVJAAAAQJXYJljn5uZqy5Yt6tevnySpX79+2rJliw4frhljeQAAAFCz2WYoyP79+3XeeefJ5Sq5na/L5dK5556r/fv3q2HDqv3ZISEhJpglhoXISJdOhrqIIIiMdCkpqX6oy0AtFhnpCnUJluNzhVA6/ZniPRgeamK+CMYx0DbB2gq5uYXy+Uyoywip4mJvqEsIiuJir3Jyjoa6DNRiNfGzxecKoXT6M8V7MDxwDCzhdDoq7Mi1zVCQxo0b68CBA/J6S3ac1+vVwYMH1bhx4xBXBgAAAFTONj3WCQkJat26tRYvXqz+/ftr8eLFat26dZWHgQBAMBUU5Mt7Ml/Hd38c6lIs4T2Zr4IC23wFAECNYKuj6vjx4zVmzBjNmjVLDRo0UEZGRqhLAgAAAKrEVsH6oosu0ttvvx3qMgDgDLGxcco54lHd5leHuhRLHN/9sWKDcA1XAKjNbDPGGgAAAAhnBGsAAADAAgRrAAAAwAK2GmMNAAAAe8ou9GjupuDeEbuwyCdJiokKbt9vdqFHLYKwXYI1AAAAKtS0afNqaedg1m5JUmKj4LbXQsF5TgRrAAAAVGjw4NuqpZ2MjImSpNGjH6+W9qzGGGsAAADAAgRrAAAAwAIEawAAAMACjLGugarjrF0p/M/cBQAAsBLBuoaprrN2pfA/cxcIlPdkvo7v/jiobfg8JyVJzohzgtqO92S+pMSgtgEAtQ3BuoaprrN2pfA/cxcIRHX9uMv6zw/WZk2DHXoT+cEKABYjWANAFXCpKQBAZTh5EQAAALAAwRoAAACwAMEaAAAAsADBGgAAALAAJy8CAIBfZM2aVXK7Vwa0zukr4Jw+YbeqUlJ6KDk5NaB1gOpCsAYAANUuNjY21CUAliNYAwCAXyQ5OZVeZECMsQYAAAAsQbAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACwQEeoCAAAAUPOsWbNKbvfKgNbJytotScrImBjQeikpPZScnBrQOsFAsAYAAIAtxMbGhrqEX4RgDQAAAMslJ6faohe5OjHGGgAAALAAwRoAAACwAMEaAAAAsADBGgAAALAAwRoAAACwAMEaAAAAsIAtLrf3xBNPaN26dYqKilLdunX16KOPql27dqEuCwAAAKgyW/RYp6amKjMzU4sWLdI999yjBx54INQlAQAAAAGxRY/1VVdd5f9/+/btlZ2dLZ/PJ6fTFrkfAAAAqJQtgvVPvf7667ryyivPKlQnJMQEoSKUJzLSJUlKSqof4kqAmoPPFQCEr2oJ1gMGDNCPP/5Y5ry1a9fK5Sr5InnvvfeUmZmp119//azayc0tlM9nzrpOBKa42CtJysk5GuJKgJqDzxUA2JfT6aiwI7dagvWCBQsqXWbZsmV69tlnNW/ePCUmJlZDVQAAAIB1bDEU5JNPPtFTTz2luXPnqkmTJqEuBwAssWbNKrndKwNaJytrtyQpI2NiQOulpPRQcnJqQOsAAKxli2D98MMPKzIyUvfff7//sXnz5ik+Pj6EVQFA9YuNjQ11CQCAs2SLYP3pp5+GugQAsFxyciq9yABQi3A9OwCwkfz8PE2ZMkEFBfmhLgUAECCCNQDYSGbmAm3fvk2LFr0b6lIAAAEiWAOATeTn52n16pUyxsjtXkmvNQCEGYI1ANhEZuYCeb0eSZLH46HXGgDCDMEaAGxi7Vq3jCm5yZUxRmvXukNcEQAgEARrALCJhISECqcBAPZGsAYAm8jNza1wGgBgbwRrALCJbt1SJDn+M+X4zzQAIFwQrAHAJtLSBigiwiVJioiIUHr6wBBXBAAIBMEaAGwiLi5e3btfKYfDoe7deyg2Ni7UJQEAAmCLW5oDAEqkpQ3Qvn176a0GgDDkMKev7VQD5OYWyuerMU+n2qxZs0pu98qA18vK2i1JataseUDrpaT0UHJyasDtAQAAhJLT6VBCQky58+mxxlmLjY0NdQkAAAC2QY81AAAAUAWV9Vhz8iIAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1AAAAYAGCNQAAAGABgjUAAABgAYI1ANhIfn6epkyZoIKC/FCXAgAIEMEaAGwkM3OBtm/fpkWL3g11KQCAABGsAcAm8vPztHr1ChljtHr1SnqtASDMEKwBwCYyMxfI4/FKkjweD73WABBmCNYAYBNr17olmf9Mmf9MAwDCBcEaAGwiISGhwmkAgL0RrAHAJnJzcyucBgDYG8EaAGyiW7cUORwOSZLD4VC3bikhrggAEAiCNQDYRFraALlcEZKkiIgIpacPDHFFAIBAEKwBwCbi4uLVvXsPORwOpaT0UGxsXKhLAgAEICLUBQAA/istbYD27dtLbzUAhCGHMcZUvlh4yM0tlM9XY54OAAAAbMTpdCghIab8+dVYCwAAAFBjEawBAAAACxCsAQAAAAsQrAEAAAALEKwBAAAACxCsAQAAAAsQrAEAAAALEKwBAAAAC9gqWH/22Wdq3bq1XnvttVCXAgAAAATENsG6sLBQzzzzjFJTU0NdCgAAABAw2wTrKVOm6M4771R8fHyoSwEAAAACZotgvXLlSh09elR9+vQJdSkAAADAWYmojkYGDBigH3/8scx5S5Ys0bRp0zR37txf3E5CQswv3gYAAABwNhzGGBPKAr744gvdd999qlOnjiQpLy9PUVFRGjp0qIYPHx7QtnJzC+XzhfTpAAAAoIZyOh0VduSGPFj/3JgxY9S2bVsNGTIk4HUJ1gAAAAiWyoK1LcZYAwAAAOHOdj3WvwQ91gAAAAgWeqwBAACAakCwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYAG8nPz9OUKRNUUJAf6lIAAAEiWAOAjWRmLtD27du0aNG7oS4FABAggjUA2ER+fp7c7pUyxsjtXkWvNQCEGYI1ANhEZuYC+XxGkuTz+ei1BoAwQ7AGAJtYt26NvF6PJMnr9WjdujUhrggAEAiCNQDYRNeuyXK5IiRJLleEunZNDnFFAIBAEKwBwCbS0gbI6XRIkpxOp9LTB4a4IgBAIAjWAGATcXHxSknpIYfDoZSUVMXGxoW6JABAACJCXQAA4L/S0gZo37699FYDQBhyGGNMqIuwSm5uof+MegAAAMBKTqdDCQkx5c+vxloAAACAGotgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYgGANAAAAWIBgDQAAAFiAYA0AAABYICLUBVjJ6XSEugQAAADUUJVlTYcxxlRTLQAAAECNxVAQAAAAwAIEawAAAMACBGsAAADAAgRrAAAAwAIEawAAAMACBGsAAADAAgRrAAAAwAIEawAAAMACBGsAAADAAgRrAAAAwAIRoS6gJvvkk080Y8YMGWNkjNHw4cN1zTXXqFWrVlq/fr3q1atX5XX27t2re++917/c0aNHVVhYqH//+98V1rBkyRL97W9/809nZ2erc+fOmjlzZoXrnThxQo899pi2bdsmY4wuvvhiTZo0STExMVq1apWeeeYZORwOeTwe9erVSyNHjpTD4QjwFaqdytrHbdq0CWj/nn4P5eXlVbheRkaGli5dqn379ikzM1MtW7Y8Y1szZ87U888/75/v8/l066236sSJE5KkpKQkPfHEE2rSpIkkKT8/XxMmTNA333yjiIgIXXfddRo+fHil81B9yjvG5OXl6aGHHlJWVpaioqLUvHlzTZgwQQ0bNtTevXt144036rPPPitzm//85z/197//XU6nUy6XS4888og6deokqeL9/tVXX2ns2LE6deqUzj//fD399NNKSEgI7gtQw/Ts2VNRUVGKjo6WJI0aNUrdu3cv93XfuXOnxo4dq5ycHEVERKhdu3YaN26czjnnHEnS7NmztWjRIkVERKhevXqaMGGCLr744nLbr+i9UdnxAtVjxYoVmjFjhjwej2JjY/XUU0+padOm+uijjzRt2jRFR0dr+vTp2r17d5kZQ5J27typMWPGKD8/X3FxccrIyFCLFi0k6YztPPPMM9q7d6+cTqfq1q2rxx9/XK1bty5z2QceeMBf50+/o84219ieQVD4fD7TqVMns23bNmOMMVu3bjXt27c3Xq/XtGzZ0hQWFga0zs9NmjTJPPHEEwHX1b9/f/PBBx9UutzcuXPNfffdZ3w+n/H5fOa+++4zL774ojHGmMLCQuPxeIwxxhQVFZkbb7zRfPTRRwHXUhtVdR9Xtn/Lew/9fL3PP//c/Pjjj+aqq67yt/lTmzdvNnfeeecZ848cOeL//7x588y9997rn77nnnvM3Llz/dMHDx6s0jxUn/LeH3l5eebTTz/1T0+ZMsU8/PDDxhhj9uzZY7p06VLm9g4fPmw6dOhgcnJyjDHGfPTRR+a6667zzy9vv3u9XtOrVy/z+eefG2OMeeGFF8yYMWN+2ZOrhcr7/Jb3uu/Zs8d88803xpiSfTBixAgzc+ZMY4wxW7ZsMVdeeaU5duyYMcaYv//972bYsGEVtl/Re8OYio8XCL78/HzTpUsX88MPPxhjjPnXv/5l/vCHPxhjjLnzzjvN+++/b4yp/Ptn6NCh5l//+pd/G0OHDvW38dPtGFN6ny9btszccMMN5S77UxV9t51trrEbhoIEkdPp1NGjRyWV/BI799xz5XSWvOSvvPKK+vfvr2uvvVZLly6t0jqnFRUVKTMzUzfeeKP/sb/85S8aOHCg0tLSdO+996qgoOCMer755htlZ2erZ8+ekqScnBwNHTpUAwcO1PXXX6+pU6f6l3U4HDp58qSKi4tVXFys48ePq1GjRpKkevXqyeVySZJOnTql4uLiM2pE+Srbx2Xt3w8//FB9+vRR//799cILL5S53bLW69Spkxo3blzu8hMmTND48ePPmFe/fn3//wsLC/317dq1S999951uv/12//ykpKRK56FqNmzYoFtvvVXp6elKT0+X2+1WRkaGbrzxRqWnp+v222/Xvn37/Mt/8sknGjhwoNLT03XDDTfo22+/9c8r6xgTFxenK664wr9M+/bt9eOPP5aqYcqUKUpLS1NaWpq++OILSfL3bh07dkxSyfv29PGgov2+efNmRUdH+3u2Bw0apCVLllj2etVmFb3uTZo0UZs2bSSVHG8uvfRS/352OBwqLi7WyZMnJZXel1LJXyZOv/9uvPFGHTp0yD+vrPeGVP7xQpJWrlypQYMGaeDAgbrlllv01Vdf+ectWLBAN998swYOHKjbbrtNP/zwgyWvTW2ze/duJSYm6oILLpAk9ejRQ263Ww8//LC+/PJLPfPMMxo6dKik8r9/cnNztWXLFvXr10+S1K9fP23ZskWHDx/W5MmTz9jOz/f56b9Yl7XsaWV9R1VlXtgJdbKvydauXWu6dOlirrzyStO5c2ezYcMGY0xJb9Lzzz9vjDFmx44dpkuXLubQoUMVrvNTH3zwgUlPTy/1WG5urv//06dPN08//fQZ6z3xxBNm0qRJ/umTJ0/6e7WKiorM0KFDzcqVK/3zRo4caTp16mQ6depkRo4cWWpbmzZtMv369TPt2rUzkydPNj6fL+DXp7aqbB//fP/m5OSYLl26mB07dhhjjHnxxRfL7JEs631xWlk9XlOnTjWvvfZaufOHDRtmunXrZq6//nqTnZ1tjCnpmRg0aJB5+OGHzQ033GCGDRtmvvvuu0rnoXJ5eXmmW7du5ssvvzTGGOPxeEx+fn6pz/Zbb73l/yz+8MMPplu3bmbnzp3GGGNOnTpljh49aoyp+BhzmtfrNbfffrv5+9//bowp6ZVs2bKlWbBggTHGmE8//dR0797dnDp1yhhjzKJFi0yHDh1Mjx49TPfu3c2uXbuMMRXv9yVLlpi77rqrVLuXXnqpycvLs+ZFqyWuuuoqk5aWZvr162fGjRtnCgoKqvx5O3HihOnbt2+pvyq+/PLL5rLLLjMpKSmmb9++5vDhw8aYkn3eq1cvf893YWGhOXnyZKXvDWPKPl7s3r3b/Pa3v/W/L7/77jvTo0cPY0zJX9Puuusu/zZWrFhhbrnlFotfudrhyJEjpkuXLmbjxo3GGGNeffVV07JlS7N582YzZMgQs3z5cv+y5X3/fP3116Zv376ltnvdddeZzZs3G2PMGdsxxphHHnnE9OjRw6SmppZ675W1rDEVf0dVNC/c0M0YJB6PR3PmzNGsWbP0ySef6G9/+5tGjhzp7/G5+eabJUkXXnih2rRpo6+++qrSdU575513zvhVt3DhQn+P9eLFi7V169ZS84uKirR48eJS63m9Xk2dOlXp6ekaOHCgtm/f7u/xWrt2rSTJ7XbL7XaruLhYr7zyin/ddu3aKTMzUytWrNA333xTqvcC5avKPv75/t24caPatGmjCy+8UJJ0yy23lLntst4X5dmwYYM2b96swYMHl7vMSy+9pNWrV+v666/3j9P3+XzauHGjBg4c6O9t+tOf/lTpPFTuq6++0kUXXaTLL79ckuRyuRQbG6tVq1bpt7/9rfr166dXXnnF/9leu3atUlNT/WMgo6KiFBMT499eWceYn5o4caLq1q2rIUOG+B+LjIxUenq6JOmKK67QOeecox9++EGFhYV6/fXX9c9//lMrVqzQmDFjNHz4cBlj2O/V4PXXX9eiRYv0zjvvyBijCRMmVOl193g8euCBB/Sb3/xGV199tSRp3759+vjjj/Xhhx9q9erVGjBggMaMGSOpZJxu//79/T3f9erV84/rLu+9cVpZx4vVq1crKytLv/vd79S/f3+NGjVKHo9Hhw4d0vLly/Xtt9/q5ptvVv/+/TVt2jRlZ2cH94WsoerXr69nn31WTz31lAYOHKjc3Fw1aNDA/5fl06qaMarqySef1IoVK/TAAw+U+ot3eSr6jgrk+8vuCNZBsnXrVh08eFAdO3aUJHXs2FF16tTRjh07ftE6Bw4c0Oeff660tDT/Y1988YXmz5+vl19+WZmZmRo5cqSKiopKbXvZsmVq0qSJLrnkEv9jc+fO1ZEjR/T2228rMzNTvXr10qlTpyRJb775pnr37q3o6GhFR0erb9++ZZ640rBhQ6WmpvLn3SqqbB+XtX+rItD1Pv/8c+3YsUNXX321evbsqezsbN15551yu92llnM6nbrpppu0cOFCSVLjxo3VuHFj/5/2r7nmGuXk5Ojw4cMVzsPZ2bdvn5566ilNmzZNixcv1uTJk8/4bJ+NjIwM7d69W88991yVhnG53W7Vr1/f/+Oub9++ysrKUl5eXqXviZ8ONTl8+LCcTqfi4uJ+8XOoTU4P54qKitLgwYO1fv36Sj9vXq9Xo0aNUmxsrB577DH/tpYsWaKWLVvq3HPPlSTdcMMN5Z6wGqifHy8kqXv37lq4cKH/n9vtVmJioowxuvHGG/2PL1q0SCtWrLCkjtqoW7dumj9/vt59910NGTJEJ0+eVLNmzUotU9H3T+PGjXXgwAF5vV5JJe+fgwcPljuU8KdOv4fy8vLKXaai76iz/d6zK4J1kDRq1EjZ2dn+X/Q7duxQbm6u/43+zjvvSCoZJ7dlyxa1b9++0nWkkjFpPXr0UHx8vP+xI0eOKCYmRnFxcSoqKvJv+6fK+jV49OhRJSUlKTo6WgcOHNDHH3/sn9ekSRO53W5/j9Tq1av9Z43v3LlTPp9PknT8+HGtWrWqzKtN4EyV7eOy9m/79u21ZcsW7dq1S5L09ttvn7HdstaryN133y23263ly5dr+fLlatSokV555RWlpKTo8OHDpcLwkiVL1KpVK0lS27ZtVbduXW3fvl1SSUCPjY1VfHx8hfNQufbt22vHjh3asGGDpJIvtv379ysyMlJJSUny+Xx68803/csnJydr1apV/vdFUVGRCgsL/fPLOsZI0vTp07V582a98MILioqKKlVDcXGxMjMzJZX8YD958qQuvPBCNWnSRFu2bFFubq4k6dNPP1VMTEyl+71t27Y6efKk/y9ab775pvr06WP1S1ejHT9+3D8m1hij999/X61bt67wdff5fBozZoxcLpeefPLJUldsatKkib788ksdP35cUskY6NPH9iuvvFILFy70j6s+duyYv7OlvPdGRceL5ORkrV692l+jJG3atElSyZVOFi5c6O+l9nq92rx5s8WvXu2Rk5MjqeQvh9OnT9egQYNUt27dUstU9P2TkJCg1q1ba/HixZKkxYsXq3Xr1mrYsOEZbR07dkz79+/3Ty9fvlyxsbEV/mCu6Dsq0O8vu+Nye0GSlJSk8ePHa8SIEaUG9Z9+43m9Xt1www06ceKEJkyY4L/8VEXrSCVvwEcffbRUW927d9eiRYt07bXXKj4+Xp06ddLXX3/tn79//36tX79ezz33XKn1hg4dqhEjRqhfv34677zz1LVrV/+8e++9V2PHjvWfyHDJJZf4/8z48ccfa8GCBXK5XPL5fOrVq5f/z86oWGXvi7L2b0JCgiZOnKg//vGPOuecc/yXRvqpstaTpEmTJunDDz/UoUOHdMcddyguLk7vvfdehTXm5OTo4YcfVnFxsST5L5EmlZz4NHnyZD388MMqKipSnTp1NHPmzFLPpbx5qFhcXJyef/55TZkyRcePH5fT6dTo0aPVp08f9e3bV/Hx8erRo4c/pLZo0UITJ07UAw88IK/XK5fLpSlTpvhDTVnHmO3bt2vOnDlq0aKFBg0aJKkkaJ0+ITYuLk7ffvutXn75ZUklITwqKkpt27bVsGHDNGTIEEVGRioqKkozZsyodL87HA5NnTpV48aNK3W5PVRdbm6u7rvvPnm9Xvl8Pl100UUaN25chZ/FlStXatGiRWrZsqUGDhwoSbr88ss1btw4XXPNNf4hJFFRUWrQoIGeeuopSSVDPO6++27dcccdcjgcioqK0uzZsyWV/96o6HjRokULPf3003r00Uf9J8NffvnluvTSS9W5c2eNHDlSf/rTn+T1elVcXKw+ffqobdu21f0S1wjPPfec1q9fr+LiYiUnJ2vUqFFnLFPZ98/48eM1ZswYzZo1Sw0aNFBGRkaZbZ04cUIjRozQiRMn5HQ6FRsbq9mzZ1d4rC/vO6qyeeHIYYwxoS4CAAAACHcMBQEAAAAsQLAGAAAALECwBgAAACxAsAYAAAAsQLAGAAAALECwBgAAACxAsAYA/CJ79+5Vq1at5PF4Ql0KAIQUwRoAAACwAMEaAGxk//79Gj58uH7zm9/oiiuu0IQJE+Tz+TRr1ixdddVV6tq1qx566CH/ba5P9xa/88476tGjhzp37qz58+dr06ZNSktLU6dOnTRhwgT/9t99910NGjRIEyZMUMeOHdWnTx+tW7fOP//AgQP64x//qC5duqh379566623/PM2bdqkgQMH6vLLL1e3bt38d+wbMmSIJKlz587q0KGDNmzYUGHNAFBTEawBwCa8Xq/uuece/epXv9Ly5cu1atUq9e3bV++++64WLFigV199VR999JGOHz9eKixL0saNG/Xhhx/q2Wef1eTJkzV79mzNmzdP7733nj744AP9+9//9i+7adMmNWvWTJ9++qnuv/9+DR8+XPn5+ZKkBx98UI0aNdLq1av117/+VdOnT/cH7yeffFK33Xab1q9fr2XLlum6666TJL322muSpM8//1wbNmxQhw4dqlQzANQ0BGsAsIlNmzbp4MGDeuihh1S3bl1FR0erU6dOyszM1O9//3s1bdpU9erV04MPPqj333+/1Jjme++9V9HR0UpJSVHdunXVr18/JSQk6LzzzlOnTp20ZcsW/7INGzbU7bffrsjISPXt21cXXHCBVqxYof3792v9+vUaNWqUoqOj1bp1a918881auHChJCkiIkJZWVk6fPj/t2v/LI1EURjGH2NAQYn4LyFJ4ycI2okoYhlQm1SCrWCjH0AQGwsbE7CysNHGQhGsLC2s7W0EJegwAwYEDQYDbrEQNsiCu8yyKs+vmnNvMec2w8uZW6Onp4fR0dHfnuUjPUvSd2OwlqRPIggCcrkcyWSybT2KIvL5fKvO5/M0m00eHh5aa4ODg63nrq6ud3W9Xm/VmUyGjo6OVp3L5YiiiCiK6Ovro7e3t20vDEPg58T65uaGYrFIqVTi/Pz8t2f5SM+S9N0YrCXpk8hmswRB8G6qm06nubu7a9X39/ckk8m28PwnwjDk7e2tVQdBQDqdJp1O8/j4yNPTU9teJpMBYGRkpHU1ZGlpidXVVer1eltI/1c9S9JXYLCWpE+iUCgwPDzM9vY29XqdRqPB5eUls7Oz7O/vU61WeX5+plKpUCwW3022P6pWq3FwcMDr6ytnZ2dcX18zPT1NNptlbGyMcrlMo9Hg6uqK4+Nj5ufnATg9PaVWq5FIJEilUgAkEgkGBgZIJBJUq9XWO+LuWZK+Ar9wkvRJdHZ2sru7y+bmJjMzMwDMzc2xtrZGGIYsLi7SaDSYnJxkfX39r99TKBS4vb1lfHycoaEhdnZ26O/vB6BcLrOxscHU1BSpVIqVlRUmJiYAuLi4YGtri5eXF3K5HJVKhe7ubgCWl5dZWFig2Wyyt7dHqVSKtWdJ+go63n79HyhJ+tZOTk44Ojri8PDwf7ciSd+OV0EkSZKkGBisJUmSpBh4FUSSJEmKgRNrSZIkKQYGa0mSJCkGBmtJkiQpBgZrSZIkKQYGa0mSJCkGPwAkHWHOERN7TQAAAABJRU5ErkJggg==\n",
            "text/plain": [
              "<Figure size 864x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nx4kFq6Uw0yS"
      },
      "source": [
        "## Desafio 01: Encontrar o top 10, das ações do MOA (inibidor, agonista...)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "elSE8y3U_9w_"
      },
      "source": [
        "Com esse primeiro comando podemos listar todos os elementos do MOA"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xAlhG8Yxw2K-",
        "outputId": "c042ff36-6580-46c0-c4a2-5579027882fa"
      },
      "source": [
        "contagem_moa = dados_resultados.drop(['id', 'n_moa', 'ativo_moa'], axis=1).sum().sort_values(ascending=False)\n",
        "contagem_moa"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "nfkb_inhibitor                                832\n",
              "proteasome_inhibitor                          726\n",
              "cyclooxygenase_inhibitor                      435\n",
              "dopamine_receptor_antagonist                  424\n",
              "serotonin_receptor_antagonist                 404\n",
              "                                             ... \n",
              "protein_phosphatase_inhibitor                   6\n",
              "autotaxin_inhibitor                             6\n",
              "diuretic                                        6\n",
              "erbb2_inhibitor                                 1\n",
              "atp-sensitive_potassium_channel_antagonist      1\n",
              "Length: 206, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 68
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5XCwvkpMbFRR"
      },
      "source": [
        "### Uma forma de separar os dados é o usando o Filter"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "r1cnFMCuYN1K",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b9159035-b8bd-4dea-e7ac-e85f34585e3c"
      },
      "source": [
        "contagem_moa.filter(like='inhibitor').head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "nfkb_inhibitor              832\n",
              "proteasome_inhibitor        726\n",
              "cyclooxygenase_inhibitor    435\n",
              "dna_inhibitor               402\n",
              "cdk_inhibitor               340\n",
              "egfr_inhibitor              336\n",
              "tubulin_inhibitor           316\n",
              "pdgfr_inhibitor             297\n",
              "hmgcr_inhibitor             283\n",
              "flt3_inhibitor              279\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 69
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "9WcPnH3zYRu4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "af0d1c98-4f1f-4510-aff0-9bd26e1850b2"
      },
      "source": [
        "contagem_moa.filter(like='antagonist').head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "dopamine_receptor_antagonist         424\n",
              "serotonin_receptor_antagonist        404\n",
              "glutamate_receptor_antagonist        367\n",
              "adrenergic_receptor_antagonist       360\n",
              "acetylcholine_receptor_antagonist    301\n",
              "histamine_receptor_antagonist        241\n",
              "gaba_receptor_antagonist             165\n",
              "cc_chemokine_receptor_antagonist     102\n",
              "potassium_channel_antagonist          98\n",
              "adenosine_receptor_antagonist         96\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 70
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SZYpfhpWdsiJ",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ed9ae326-1b23-4245-a4c0-316af9138cae"
      },
      "source": [
        "contagem_moa.filter(like='_agonist').head(10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "adrenergic_receptor_agonist        270\n",
              "glucocorticoid_receptor_agonist    266\n",
              "serotonin_receptor_agonist         236\n",
              "acetylcholine_receptor_agonist     190\n",
              "estrogen_receptor_agonist          158\n",
              "dopamine_receptor_agonist          121\n",
              "progesterone_receptor_agonist      119\n",
              "ppar_receptor_agonist              115\n",
              "gaba_receptor_agonist              106\n",
              "glutamate_receptor_agonist          74\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "zd2UbMihZ6dH"
      },
      "source": [
        "Com isso já temos os top 10 de cada sufixo. Outra possibilidade é verificar os sufixos que ativam o MOA mais vezes."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "id8R6mXCbYAq"
      },
      "source": [
        "###TOP 10 Sufixos"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XpxDwWzZHcp2"
      },
      "source": [
        "Transformando o **contagem_moa** em um DataFrame"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xl2I5CgkHcGR"
      },
      "source": [
        "contagem_moa = dados_resultados.drop(['id', 'n_moa', 'ativo_moa'], axis=1).sum().sort_values(ascending=False)\n",
        "contagem_moa = contagem_moa.reset_index()\n",
        "contagem_moa.rename(columns={'index':'MOAs',0: 'Contagem'}, inplace=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hmSJLErUdtwE"
      },
      "source": [
        "Separando a parte do sufixo do nome dos MOAs e colocando em uma nova coluna do DataFrame **contagem_moa**"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "r3EnJTkdO3-I",
        "outputId": "09990231-eee2-41ee-e278-6cc05679ace2"
      },
      "source": [
        "contagem_moa['sufixos'] = contagem_moa['MOAs'].apply(lambda x: x.split('_')[-1])\n",
        "contagem_moa"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>MOAs</th>\n",
              "      <th>Contagem</th>\n",
              "      <th>sufixos</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>nfkb_inhibitor</td>\n",
              "      <td>832</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>proteasome_inhibitor</td>\n",
              "      <td>726</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>cyclooxygenase_inhibitor</td>\n",
              "      <td>435</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>dopamine_receptor_antagonist</td>\n",
              "      <td>424</td>\n",
              "      <td>antagonist</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>serotonin_receptor_antagonist</td>\n",
              "      <td>404</td>\n",
              "      <td>antagonist</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>201</th>\n",
              "      <td>protein_phosphatase_inhibitor</td>\n",
              "      <td>6</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>202</th>\n",
              "      <td>autotaxin_inhibitor</td>\n",
              "      <td>6</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>203</th>\n",
              "      <td>diuretic</td>\n",
              "      <td>6</td>\n",
              "      <td>diuretic</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>204</th>\n",
              "      <td>erbb2_inhibitor</td>\n",
              "      <td>1</td>\n",
              "      <td>inhibitor</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>205</th>\n",
              "      <td>atp-sensitive_potassium_channel_antagonist</td>\n",
              "      <td>1</td>\n",
              "      <td>antagonist</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>206 rows × 3 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                                           MOAs  Contagem     sufixos\n",
              "0                                nfkb_inhibitor       832   inhibitor\n",
              "1                          proteasome_inhibitor       726   inhibitor\n",
              "2                      cyclooxygenase_inhibitor       435   inhibitor\n",
              "3                  dopamine_receptor_antagonist       424  antagonist\n",
              "4                 serotonin_receptor_antagonist       404  antagonist\n",
              "..                                          ...       ...         ...\n",
              "201               protein_phosphatase_inhibitor         6   inhibitor\n",
              "202                         autotaxin_inhibitor         6   inhibitor\n",
              "203                                    diuretic         6    diuretic\n",
              "204                             erbb2_inhibitor         1   inhibitor\n",
              "205  atp-sensitive_potassium_channel_antagonist         1  antagonist\n",
              "\n",
              "[206 rows x 3 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 73
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XJRn1QFRGrgh"
      },
      "source": [
        "Somando a quantidade de MOAs ativos por sufixo"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UnOgD5TVSoqZ"
      },
      "source": [
        "contagem_MOAs_ativos_por_sufixos = contagem_moa.groupby('sufixos').sum()['Contagem'].sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "ElvmSoHMT-sK",
        "outputId": "e472743d-da0e-416a-91d4-3ccc6087f989"
      },
      "source": [
        "fig, ax = plt.subplots(1,1,figsize=(15,8))\n",
        "sns.barplot(y=contagem_MOAs_ativos_por_sufixos.head(10).index,\n",
        "            x=contagem_MOAs_ativos_por_sufixos.head(10).values, ax=ax, orient='h')\n",
        "ax.set_title(\"TOP 10 Sufixos mais Ativados\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAA+EAAAHkCAYAAABR6y58AAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAgAElEQVR4nOzde1RVdf7/8dfhqnhQgcFKJ0Kz0THzihc01FAzUMFbpmWamU5WQ5maKTblDTVNRpzMUZyv39JkvMPBy5SlYoOipN90piwt0tRR0RQ4cjkHzvn90er8Yryhwobw+VjLtc7Z+7P35713n9VaLz6fvY/J6XQ6BQAAAAAAKpxbZRcAAAAAAMCdghAOAAAAAIBBCOEAAAAAABiEEA4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQQjhAACgQn3++ed69NFH1bp1a23fvl3PPfecNm7cWNll3ZLevXsrIyOjwvtZsmSJYmNjy/28GRkZ6tKlS7mfFwBQdiZ+JxwAgIrXunVr1+eCggJ5eXnJ3d1dkjRt2jRFRUXp2LFjmj9/vvbv3y+Hw6HmzZtr3LhxatOmjSTp5MmT6t69u3x8fCRJfn5+GjJkiMaMGXPVPt944w3t27dPx48fV1xcnAYMGFBq/4oVK7Rs2TIVFBSoV69emjZtmry8vK56rrVr12r58uU6e/asatasqQcffFDx8fEym803vPYRI0YoPDxcI0aMuPGNqsZ++OEH9ezZU0888YSmTZvm2p6RkaGJEycqLS2twmswsi8AwNUxEw4AgAEOHjzo+le/fn0tWbLE9T0qKkonTpzQ0KFD1aRJE33yySfavXu3evbsqVGjRungwYOlzrV//34dPHhQ77zzjt59991rBqqmTZvqrbfeUrNmza7Yt3v3bi1dulQrVqzQjh07dPLkSSUkJFz1PPv27VN8fLwWLFiggwcPasuWLYqMjCzztZ8+fVoPPPBAmdtXV8nJyapTp462bt0qm81W2eUAACoJIRwAgCpg0aJFatWqlcaNG6e6devKbDZr+PDhioqK0vz58696TOvWrdW4cWMdPXr0qvufeuophYaGytvb+4p9mzZt0qBBg/TAAw+oTp06euGFF665RPzw4cNq1aqVK8zXrVtX/fv3d82CP/3001q7dq2r/YYNGzR06FBJUo8ePfTDDz/o+eefV+vWrWWz2Uq1f/PNN/XHP/7Rdey8efM0YsQIOZ1O5eXl6bXXXlPHjh31yCOPaPHixXI4HJKk48ePa9iwYWrbtq06dOigV1555aq1nzx5Uk2aNNH69evVtWtXtWvXTqtXr9ahQ4fUt29fhYSEaPr06a72J06c0PDhw9WhQwd16NBB48ePV25urmt/eHi40tPTJUmHDh3SgAED1KZNG3Xq1EmzZ8++ag2S5HQ6tWnTJr388svy8PDQp59+KknKz8/X6NGjde7cObVu3VqtW7fW2bNntWjRIk2YMEGS9Nxzz2nlypWlzhcVFaWPPvpIkjRz5kx17dpVbdq00YABA5SZmelqV1hYqNdff13t2rVTZGSkDh8+XOo83377rZ5++mmFhISod+/e+uSTT1z7du3apcjISLVu3VphYWFavnz5Na8PAFB2hHAAAKqA9PR0PfbYY1dsj4iI0IEDB1RYWFhqu9Pp1Oeff65jx45ddab7Ro4ePaqmTZu6vjdp0kTnz5/XxYsXr2jbsmVLffbZZ0pISNDnn39+U7O427dvLzXz/9/L3V9//XV988032rBhgzIzM7Vu3TrNnTtXJpNJM2bMUF5enrZv364PPvhAycnJWr9+vSRp4cKF6ty5s/bv36+0tDQNGzbsunV88cUX+uijjxQfH6+4uDgtWbJEK1as0ObNm7V161bt27dP0k/39Q9/+IN2796trVu36syZM1q0aNFVzzlr1iwNHz5cBw4c0Mcff6yIiIhr9v/555/rzJkz6t27tyIiIrRp0yZJko+Pj5YtW6Z69eq5VkbcddddpY7t06ePUlNTXd+PHTum06dPq1u3bpKkhx56SJs2bdK+ffvUp08fvfzyyyoqKpIk/eUvf9GJEyf08ccfa/ny5a5+Jclut+v5559X586dlZ6erqlTp2rChAn67rvvJEmxsbGaPn26Dh48qNTUVHXs2PG69xgAUDaEcAAAqoCLFy8qMDDwiu2BgYFyOBzKyclxbevYsaPat2+vqVOnavz48QoNDb3p/vLz80s9z+3r6ytJunz58hVtQ0JCtGjRIn355Zf6wx/+oA4dOmj27NkqKSm56X7/W82aNfX2229rzpw5mjhxot544w3dfffdKikp0ZYtWzR+/HiZzWb99re/1ciRI5WSkiJJ8vDw0OnTp3Xu3Dl5e3srJCTkuv28+OKL8vb21sMPPywfHx/16dNHAQEBuuuuuxQSEqIvv/xSknTfffepc+fO8vLykr+/v0aOHKn9+/df9ZweHh46ceKEfvzxR9WqVUutWrW6Zv8bN25Uly5dVKdOHfXp00e7d+/WhQsXynSPevTooSNHjujUqVOSJIvFop49e7r+oBEdHS0/Pz95eHjo2Weflc1mU1ZWliRp69atev7551W3bl3dc889evrpp13n/eKLL5Sfn68xY8bIy8tLoaGheuSRR7R582bX9R07dkxWq1V16tTRgw8+WKZ6AQDXRwgHAKAK8PPzU3Z29hXbs7Oz5ebmptq1a7u27d27V/v379fWrVs1fPjwW+rPx8dHVqvV9f3nz7Vq1bpq+65du2rJkiXat2+fFi9erI0bN5Zagn47WrZsqd/+9rdyOp2u2eSLFy/Kbrerfv36rnb169fX2bNnJUkTJ06U0+nUoEGD1Lt3b61bt+66fQQEBLg+e3t7X/E9Pz9fknT+/HmNGzdOYWFhatOmjSZOnHjV1QHSTzPh33//vSIiIjRw4EDt2LHjqu0KCwu1bds29e3bV9JPjxHcc889slgsN7o1kiSz2ayuXbu6wnFqaqqioqJc+5cvX66IiAi1bdtWISEhysvLc9V87tw53XPPPa62v7yf586d09133y03N7dS+3++xwkJCdq1a5ceeeQRDRs27Ip3EwAAbg0hHACAKiA0NFTbtm27YvvWrVvVqlUr1axZs1z7e+CBB/T111+7vh85ckS/+c1v5Ofnd93j3NzcFBoaqo4dO7qeRa9Zs6YKCgpcbc6fP39TtaxatUp2u1316tVTYmKipJ/+KOHp6anTp0+72v3nP/9xLdUODAzUzJkz9dlnn2natGmaNm2ajh8/flP9Xs2CBQtkMplksVh04MABzZs3T9f6IZng4GAtWLBAe/bs0ejRoxUTE+MK87/08ccfy2q1atq0aercubM6d+6ss2fPupaGm0ymG9bVp08fbd68WQcPHlRRUZE6dOggScrMzFRiYqL+/Oc/a//+/crMzJSvr6+r5sDAQP3nP/9xneeXn+vVq6czZ864nrP/ef/P97hFixZ67733lJ6erh49elzzuXsAwM0hhAMAUAW89NJLOnjwoOLj43Xp0iVZrVbXc9A/v6DrZtlsNhUVFcnpdKq4uFhFRUWuwBUdHa1169bp2LFjys3N1Xvvvaf+/ftf9Tzbt2/X5s2blZOTI6fTqUOHDmnfvn1q2bKlJOn3v/+9Pv74YxUUFOj48eM3nJX+paysLP35z3/WvHnz9PbbbysxMVFfffWV3N3d9dhjjyk+Pl5Wq1WnTp3S//zP/7hmgH9+XluS6tSpI5PJVGpG91ZdvnxZPj4+8vX11dmzZ11/FLia5ORk/fjjj6VWKlythk2bNmngwIGyWCzatGmTNm3apNWrV+vIkSP6+uuvFRAQoEuXLikvL++afXXt2lWnT59WQkKCIiMjXf1cvnxZ7u7u8vf3V3Fxsf7yl7+UWuEQERGhpUuXKicnR2fOnNEHH3zg2teiRQvVqFFDiYmJstvtysjI0KeffqrIyEjZbDalpKQoLy9Pnp6eqlWrVrncXwAAIRwAgCohODhYH374oY4cOaLw8HCFhYXpo48+UmJiotq2bXtL5xw1apRatGihgwcP6o033lCLFi1czzd36dJFzz33nIYPH65u3bqpQYMGiomJuep56tSpozVr1ujRRx91LdEeNWqUKxCPGDFCnp6e6tSpkyZNmuRadn0jxcXFmjhxokaPHq2mTZsqODhY48aN02uvvSabzaY33nhDNWvWVI8ePfTkk0+qT58+GjhwoKSf3tj++OOPq3Xr1ho7dqxiY2N177333tJ9+qWXXnpJX375pUJCQjRmzBg9+uij12y7e/du9e7dW61bt9asWbMUHx+vGjVqlGpz9uxZ7dmzRyNGjFBgYKDrX/PmzRUWFqZNmzbp/vvvV+/evdWjRw+FhIS4loP/kpeXl3r27Kn09HT16dPHtf3hhx9WWFiYevXqpfDwcHl7e5dafv7SSy+pfv366t69u5599llFR0eXOueSJUuUlpamjh07atq0aXr77bd1//33S/rpjwzh4eFq06aNkpKSNG/evFu+rwCA/8/kvNYaKwAAAAAAUK6YCQcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAgHpVdAKqPixcvy+HgZfuoGgICzLpwwXrjhoABGI+oahiTqEoYj6hqbmVMurmZ5OdXq0xtCeEoNw6HkxCOKoXxiKqE8YiqhjGJqoTxiKqmIscky9EBAAAAADAIIRwAAAAAAIOYnE4naz8AAAAAAFVeYZFdebmFFdpHYKCvsrPzbuoYNzeTAgLMZWrLM+EoNzGzN+n8xcuVXQYAAACAaurDt59Snio2hFc0lqMDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQbLDo6WoWFhTdsFx4erm+++eaq+0aPHq0TJ05Ikp5++mnt2LHjqu1iY2OVmZkpSdq+fbsOHTp0i1UDAAAAAMqDR2UXcKdJTk6+7XMsW7asTO1mzZrl+rx9+3Y1b95cLVq0uKm+HA6HTCaTTCbTTR0HAAAAALgSM+EGa9KkiS5fvizpp9nuhQsX6oknnlB4eLhWrlxZqu3WrVuvuu+/Z8nT09M1aNAg9ezZUwsWLHBt/3mWfPfu3fr000+1dOlSRUdHa9OmTZKkpUuXqk+fPurTp48mT57sqmvRokWKiYnRs88+q8jISOXm5lbY/QAAAACAOwkz4ZWssLBQf//733Xy5En17dtX/fv3V61atW6475e+/fZbJSUlqaioSEOGDFHr1q31yCOPuPaHhYUpPDxczZs317BhwyRJu3btUkpKipKSklSrVi1NmjRJixcv1sSJEyVJhw4d0oYNG+Tv72/AXQAAAACAOwMz4ZUsMjJSkvTb3/5WtWvX1pkzZ8q075f69esnDw8P1apVS5GRkdq7d+8N+92zZ48iIyNlNptlMpk0ePBg7dmzx7W/S5cuBHAAAAAAKGeE8Erm7e3t+uzu7q6SkpIy7atoV5txBwAAAADcHkJ4NZCSkqLi4mLl5+dr69at6tix4xVtzGaz8vLyXN9DQ0O1detWWa1WOZ1OrVu3Tp06dTKybAAAAAC44/BMeDXQqFEjDRkyRDk5OYqIiCj1PPjPoqKiNHnyZG3btk0jR45Uv3799PXXX2vIkCGSpObNm2vs2LFGlw4AAAAAdxST0+l0VnYRqB5iZm/S+YuXK7sMAAAAANXUh28/pezsvBs3vA2Bgb433Yebm0kBAeaytb2VogAAAAAAwM0jhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQDAAAAAGAQk9PpdFZ2EQAAAAAA3EhhkV15uYUV2kdgoK+ys/Nu6hg3N5MCAsxlautxK0UBV3PhglUOB3/TQdVwK//zBCoK4xFVDWMSVQnjEXcalqMDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAG4SfKUG7K+rt4gFECA30ruwRUgGJbkS7m2Cq7DAAAgFtCCEe5Obxkkmy5Fyq7DADVXNvXEiURwgEAwK8Ty9EBAAAAADAIIRwAAAAAAIMQwgEAAAAAMAghHAAAAAAAgxDCAQAAAAAwCCEcAAAAAACDEMIBAAAAADAIIRwAAAAAAIMQwgEAAAAAMAghHAAAAAAAgxDCAQAAAAAwCCEcAAAAAACDEMINdvLkSf3973+vtP4/+eQTzZ0797ptMjIy9NlnnxlUEQAAAADcOQjhBjt16lSlhvDu3btr0qRJ122zb98+/fOf/zSoIgAAAAC4c3hUdgG/duPHj1dWVpbsdruCgoIUFxenI0eOKC4uTi1bttTBgwdlMpkUHx+v+++/X9OnT9fJkycVHR2t++67TwkJCZo7d6727dsnu90uPz8/xcXFqUGDBpKklStX6v3335evr6+6du2qVatWKSMjQ5K0adMmLV++XJIUFBSk6dOnKyAgQBs2bFBqaqpq166to0ePytfXV4sWLVJgYKA2bNignTt3KiEhQd99950mT56sgoICORwO9e/fXw8//LCSkpLkcDiUnp6u3r17a8yYMZV2fwEAAACgOmEm/DbFxsZqw4YNslgsaty4sZYtWyZJOnbsmIYMGSKLxaKIiAgtXrxYkvSnP/1J999/v5KTk5WQkCBJGj16tNavX6+UlBT16dNH8+fPlyQdOXJEf/3rX5WUlKT169crNzfX1e8333yj+fPna/ny5bJYLHrggQc0Y8YM1/7Dhw9r0qRJ2rx5sxo3bqyVK1deUfuHH36o8PBwpaSkKDU1VYMGDVKTJk00ZMgQ9evXT8nJyQRwAAAAAChHzITfpuTkZFksFtntduXn5ys4OFhhYWFq2LChmjVrJklq1aqVduzYcc1zpKWl6cMPP1R+fr6Ki4td2/ft26euXbvK399fkjRo0CBZLBZJPz233bVrV9WrV0+SNGTIEEVHR7uObdOmje655x5JUsuWLZWenn5Fv+3atdO8efNUUFCgDh06qGPHjrd5NwAAAAAA18NM+G3IzMzU6tWrlZiYKIvFoldeeUU2m02S5OXl5Wrn5uZWKlz/0qlTpzR79my98847Sk1NVVxcnOsct8Pb29v12d3dXSUlJVe06dWrl1atWqWgoCAtW7ZMEydOvO1+AQAAAADXRgi/Dbm5uTKbzapbt65sNpvWr19/w2PMZrOsVqvru9VqlaenpwIDA+VwOJSUlOTa1759e6WlpenHH3+UJG3cuNG1r0OHDtq1a5eys7MlSWvWrFGnTp1uqv7jx48rMDBQAwYM0IsvvqjDhw+7aszLy7upcwEAAAAAbozl6LchLCxMKSkp6tWrl/z8/BQSEuIKstfSpEkTNWzYUH369FGjRo2UkJCgxx57TJGRkfLz81PXrl2VmZkpSWratKmee+45DRkyRGazWR07dpSvr68k6Xe/+50mTJigZ599VpJ07733avr06TdV/9atW2WxWOTp6SmTyaQpU6ZIknr06KFNmzYpOjqaF7MBAAAAQDkyOZ1OZ2UXgWuzWq0ym82SpEWLFun48eOuF7dVNYeXTJIt90JllwGgmmv7WqKys39dq3UCA31/dTWjemNMoiphPKKquZUx6eZmUkCAuUxtmQmv4t555x0dOHBAdrv9lma7AQAAAABVByG8invzzTcruwQAAAAAQDnhxWwAAAAAABiEEA4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQQjhAAAAAAAYhBAOAAAAAIBBCOEAAAAAABiEEA4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQTwquwBUHw89P7eySwBwByi2FVV2CQAAALeMEI5yc+GCVQ6Hs7LLACRJgYG+ys7Oq+wyAAAAgFJYjg4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQQjhAAAAAAAYhBAOAAAAAIBBCOEAAAAAABiEEA4AAAAAgEH4nXCUm4AAc2WXAJQSGOhrSD9FNptyc4oM6QsAAAC/boRwlJsJa6fpvPXHyi4DMNyKkQslEcIBAABwYyxHBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIv8OsXr1aK1asuG6b7du369ChQ8YUBAAAAAB3EI/KLgDGGjp06A3bbN++Xc2bN1eLFi0MqAgAAAAA7hyE8Cpi/PjxysrKkt1uV1BQkOLi4lSnTh3Fx8dry5Ytqlu3rtq3b689e/Zow4YNkqSlS5cqJSVFkvTQQw9p6tSpqlWrlhYtWqSsrCzl5eXphx9+UFBQkBYuXKiaNWtq0aJFys/P16RJk3TgwAHNmDFDDodDxcXFGjt2rOrUqaNPP/1U6enpWrt2rUaOHKl+/fpV5q0BAAAAgGqDEF5FxMbGyt/fX5IUHx+vZcuWqU2bNtqxY4eSk5NVo0YNxcTEuNrv2rVLKSkpSkpKUq1atTRp0iQtXrxYEydOlCT961//0rp16+Tr66tRo0bJYrFo8ODBpfpctmyZRo0apT59+sjpdCovL0+1a9dWeHi4mjdvrmHDhhl3AwAAAADgDkAIryKSk5NlsVhkt9uVn5+v4OBg2e12RUREyMfHR5LUr18/LV68WJK0Z88eRUZGymw2S5IGDx6suLg41/kefvhh1a5dW5LUokULnThx4oo+O3TooPfee08nTpxQ586d1bJly4q+TAAAAAC4o/FitiogMzNTq1evVmJioiwWi1555RXZbLbbOqe3t7frs7u7u0pKSq5o88wzz+i9996Tv7+/ZsyYofj4+NvqEwAAAABwfYTwKiA3N1dms1l169aVzWbT+vXrJUnt27fXP/7xDxUUFMjhcLie/5ak0NBQbd26VVarVU6nU+vWrVOnTp1uqt+srCwFBQVpyJAhGj58uA4fPixJMpvNysvLK78LBAAAAABIYjl6lRAWFqaUlBT16tVLfn5+CgkJ0eHDh9W9e3cdPHhQUVFRqlOnjlq1aqWcnBxJUteuXfX1119ryJAhkqTmzZtr7NixN9XvBx98oIyMDHl6esrLy0tTp06VJEVFRWny5Mnatm0bL2YDAAAAgHJkcjqdzsouAtdmtVplNpvlcDgUGxurevXqady4cZVd1lVNWDtN560/VnYZgOFWjFyo7GxWj+DaAgN9GSOoUhiTqEoYj6hqbmVMurmZFBBgLlNbZsKruEmTJunUqVMqLCzUgw8+qNGjR1d2SQAAAACAW0QIr+Lefffdyi4BAAAAAFBOeDEbAAAAAAAGIYQDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBCPyi4A1cf8x9+s7BKASlFks1V2CQAAAPiVIISj3Fy4YJXD4azsMgBJUmCgr7Kz8yq7DAAAAKAUlqMDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABiGEAwAAAABgEEI4AAAAAAAG4SfKUG4CAsyG9GMvLNKlPH6XGQAAAMCvDyEc5WbHqxNUcP5ChfcT+f7/SIRwAAAAAL9CLEcHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQgivApo0aaLLly/f9L7bPTcAAAAAwFiEcFxXcXFxZZcAAAAAANUGIbyKWL58uaKjo9WrVy/94x//uGqbQ4cO6YknnlDfvn31xBNP6NChQ659O3bs0IABAxQVFaV+/frpyJEjpY51OByKi4vTq6++KpvNpi+++EJPP/20BgwYoAEDBmjnzp2SpJMnT6pDhw6aO3eu+vfvr7Vr11bYNQMAAADAncajsgvAT9zc3JScnKzvvvtOQ4cOVUhIiAICAlz7bTabYmJiNHv2bIWGhio9PV0xMTH66KOPdOrUKU2dOlWrVq1ScHCwbDabbDab69iioiJNnjxZDRo00DvvvKO8vDy9+eabWrp0qerVq6dz585p0KBBSk1NlSRdunRJDz30kCZNmmT4fQAAAACA6owQXkU8/vjjkqRGjRqpWbNm+r//+z91797dtT8rK0uenp4KDQ2VJHXq1Emenp7KyspSZmamunTpouDgYEmSl5eXvLy8XMc+99xz6t27t0aNGiVJOnjwoE6ePKnRo0e72phMJh0/flx+fn7y9vZWRERERV8yAAAAANxxCOF3gA4dOmj37t168sknVbNmTTmdTjVp0kSrVq26ou3JkydVs2ZNmUymSqgUAAAAAKo3ngmvItavXy9J+v777/Xll1+qVatWpfY3bNhQdrtde/fulSTt2bNHxcXFatiwoTp37qy0tDR9//33kn5aum61Wl3HvvTSS+rUqZNGjRolq9Wq1q1b6/jx465zST89b+50Oiv4KgEAAADgzsZMeBVRUlKifv36qaCgQNOnTy/1PLj00xLzhIQEzZo1S/n5+fLx8dHChQvl5eWl4OBgzZgxQ+PGjVNJSYnc3d01Z84cNWnSxHX8mDFjVKNGDT3zzDNKTEzU4sWLNW/ePMXFxclut+vee+/VkiVLjL5sAAAAALijmJxMf6Kc7Hh1ggrOX6jwfiLf/x9lZ+dVeD/4dQsM9GWcoMpgPKKqYUyiKmE8oqq5lTHp5mZSQIC5bG1vpSgAAAAAAHDzCOEAAAAAABiEEA4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQQjhAAAAAAAYhBAOAAAAAIBBCOEAAAAAABiEEA4AAAAAgEEI4QAAAAAAGIQQDgAAAACAQQjhAAAAAAAYxKOyC0D18ciC+Yb0Yy8sMqQfAAAAAChvhHCUmwsXrHI4nJVdBgAAAECfUakAACAASURBVABUWSxHBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIPxOOMpNQID5ptrbioqVk1tQQdUAAAAAQNVDCEe5eXfeFuVcyi9z+ymzBlVgNQAAAABQ9bAcHQAAAAAAgxDCAQAAAAAwCCEcAAAAAACDEMIBAAAAADAIIRwAAAAAAIMQwgEAAAAAMAghHAAAAAAAgxDCAQAAAAAwCCEcAAAAAACDEMIBAAAAADAIIRwAAAAAAIMQwgEAAAAAMAghHFf46quvtGXLlsouAwAAAACqHUI4rvDVV19p27ZtlV0GAAAAAFQ7HpVdAMpu/PjxysrKkt1uV1BQkOLi4lSnTh3Fx8dry5Ytqlu3rtq3b689e/Zow4YNkqSNGzfqww8/VElJicxms9566y01atRIGzZsUGpqqmrXrq2jR4/K19dXixYtkoeHhxISEmS1WhUdHa127dpp6tSplXzlAAAAAFA9EMJ/RWJjY+Xv7y9Jio+P17Jly9SmTRvt2LFDycnJqlGjhmJiYlztMzMztXXrVq1atUpeXl7atWuXpkyZoqSkJEnS4cOHlZKSonvuuUdTp07VypUrNW7cOMXExGjnzp1KSEiolOsEAAAAgOqKEP4rkpycLIvFIrvdrvz8fAUHB8tutysiIkI+Pj6SpH79+mnx4sWSpE8//VRHjhzR448/LklyOp3Kzc11na9Nmza65557JEktW7ZUenq6wVcEAAAAAHcWQvivRGZmplavXq2kpCT5+/vLYrFozZo11z3G6XRq4MCBevnll6+639vb2/XZ3d1dJSUl5VozAAAAAKA0Xsz2K5Gbmyuz2ay6devKZrNp/fr1kqT27dvrH//4hwoKCuRwOJSSkuI6Jjw8XMnJyTpz5owkqaSkRP/6179u2JfZbFZeXl7FXAgAAAAA3MFuOYTv3btX+/btK89acB1hYWEKCgpSr169NGzYMDVr1kyS1L17dz388MOKiorS4MGDVa9ePfn6+kqS2rVrp1deeUVjx45VVFSU+vTpo08++eSGfYWGhqqgoEBRUVGaOXNmhV4XAAAAANxJTE6n01mWhsOGDdO4cePUtm1bLV26VCtWrJC7u7ueeuopPf/88xVdJ67DarXKbDbL4XAoNjZW9erV07hx4wyv4915W5RzKb/M7afMGqTsbGbcUTECA30ZX6gyGI+oahiTqEoYj6hqbmVMurmZFBBgLlPbMj8TfvToUbVq1UqStHbtWr3//vuqVauWhg4dSgivZJMmTdKpU6dUWFioBx98UKNHj67skgAAAAAAV1HmEO5wOGQymXTixAk5nU41btxYkpSTk1NhxaFs3n333couAQAAAABQBmUO4W3bttX06dOVnZ2tnj17SpJOnDghPz+/CisOAAAAAIDqpMwvZps9e7Zq166tJk2a6KWXXpIkfffddxo+fHiFFQcAAAAAQHVS5plwPz8/vfrqq6W2devWrbzrAQAAAACg2irzTLjdbldCQoK6d++uhx56SN27d1dCQoJsNltF1gcAAAAAQLVR5pnwefPm6dChQ5o2bZrq16+v06dPa/HixbJarZoyZUpF1ggAAAAAQLVQ5hC+bds2JScnu17E1qhRIzVr1kzR0dGEcAAAAAAAyqDMy9GdTudNbQcAAAAAAKWVOYQ/9thjGjt2rHbv3q1vv/1WaWlpevHFFxUREVGR9QEAAAAAUG2UeTn6xIkT9d5772n69Ok6d+6c7rrrLkVGRuqFF16oyPoAAAAAAKg2yhzCJenll1/Wyy+/XGpbTk6OvLy8yrUoAAAAAACqozKH8IEDB2revHlq2rSpa1taWpqmTp2qtLS0CikOvy4vToy8qfa2ouIKqgQAAAAAqqYyh/ChQ4dq+PDhGj16tJ588knNnTtXO3fu1MyZMyuyPvyKXLhglcPBi/oAAAAA4FrK/GK2J598UmvXrtXGjRvVuXNnnTt3TikpKerSpUtF1gcAAAAAQLVR5hDucDhksVh04cIFdenSRf/+9791+PDhiqwNAAAAAIBqpczL0YcMGSJvb29t2LBBDRo00M6dOzV58mT17NlTb775ZkXWCAAAAABAtVDmmfCePXvq/fffV4MGDSRJ3bp1U0pKis6fP19hxQEAAAAAUJ2YnE4nb9JCueDFbKhKAgN9lZ2dV9llAJIYj6h6GJOoShiPqGpuZUy6uZkUEGAuU9vrLkd/7733NHbsWEnSwoULr9nuv387HAAAAAAAXOm6IfzMmTNX/QxcTVn+8mMrKlJOrs2AagAAAACg6rluCH/ggQdcn59//nndd999FV4Qfr0S505R7qUL123z6uy/SiKEAwAAALgzXffFbPHx8a7P/fv3r/BiAAAAAACozq47E37vvfdqzpw5aty4sYqLi7Vu3bqrths0aFCFFAcAAAAAQHVy3RAeHx+vxMREbd68WcXFxUpOTr6ijclkIoQDAAAAAFAG1w3hDRs21KxZsyRJI0aM0P/+7/8aUhQAAAAAANXRdZ8J/yUCOAAAAAAAt+e6M+G/1LVrV5lMpqvu27lzZ3nVAwAAAABAtVXmED5v3rxS37Ozs/X+++8rMjKy3IsCAAAAAKA6KnMIb9++/VW3PffccxoxYkS5FgUAAAAAQHVU5mfCr8bLy0snT54sr1oAAAAAAKjWyjwTvnDhwlLfCwsLtWvXLnXp0qXciwIAAAAAoDoqcwg/c+ZMqe8+Pj4aOXKkoqOjy70oAAAAAACqozKH8OjoaDVo0ED33nuvzp07p/nz5+vAgQPq1q2bAgMDK7JGAAAAAACqhTI/Ez5t2jS5u7tLkubOnauSkhKZTCa98cYbFVbcnSg3N1fLli0rtS02NlaZmZm3fM6vvvpKW7Zsud3SAAAAAAC3qcwz4WfPnlX9+vVVXFys3bt3a8eOHfL09FRYWFhF1nfHyc3NVWJiokaPHu3aNmvWrNs651dffaWdO3fe0s/JlZSUuP74AgAAAAC4PWWeCTebzTp//rz279+vxo0bq1atWpKk4uLiCiuuuhg/frwGDBigvn376sUXX1ROTo4kad26dYqKilJUVJQGDhyo8+fPa/r06crLy1N0dLSGDBkiSXr66ae1Y8cOnT59Wp07d5bdbnedOyYmRhs3blRxcbFGjRqlAQMGqHfv3po8ebJsNpsuXryohIQEpaenKzo6WjNnzpQkpaWlqV+/furbt69GjBih48ePS5IyMjLUt29fTZ48WdHR0UpLSzP4bgEAAABA9VXmmfBhw4Zp0KBBstvtmjJliiTpwIEDatSoUYUVV13ExsbK399fkhQfH69ly5YpLCxMf/3rX/Xhhx8qMDBQly9floeHh/70pz9p4MCBSk5OvuI89evX1wMPPKC0tDR1795dFy9eVEZGhubMmSN3d3fNnz9ffn5+cjqdmjRpktavX6+hQ4cqJiZGO3fuVEJCgiTpwoULeu2117Ry5Uo1btxYa9eu1YQJE7R27VpJ0rFjxzR9+nS1bt3auJsEAAAAAHeAMofwMWPGqGfPnnJ3d1dQUJAk6a677nLNrOLakpOTZbFYZLfblZ+fr+DgYJWUlCg6Otr1UrufVxbcSP/+/bVx40Z1795dqampCg8Pl4+Pj0pKSvS3v/1NaWlpcjgcysnJUY0aNa56ji+++EJNmzZV48aNJUkDBw7UtGnTZLVaJUn33XcfARwAAAAAKkCZQ7gkNWzY8LrfcaXMzEytXr1aSUlJ8vf3l8Vi0Zo1a275fI8++qhmz56tixcvauPGja5VCRaLRZ9//rlWrVols9msJUuW6Pvvv7+lPnx8fG65PgAAAADAtZX5mXDcmtzcXJnNZtWtW1c2m03r16+XJHXr1k3Jyck6f/68JOny5csqKiqS2WxWYWHhNZ+1r1mzprp3764FCxbIarUqJCREkpSXlyc/Pz+ZzWbl5eUpNTXVdczP237WqlUrHTlyRN9++60kaePGjWrWrJnMZnOF3AMAAAAAwE9uaiYcNy8sLEwpKSnq1auX/Pz8FBISosOHD6tDhw4aM2aMRo4cKZPJJC8vLy1ZskS/+c1v1LdvX/Xt21d16tRRUlLSFefs37+/nnrqKb388suubf369dMnn3yixx57TAEBAWrbtq2KiookSaGhofrb3/6mqKgotW/fXlOnTtXbb7+tCRMmqLi4WP7+/po3b55h9wQAAAAA7lQmp9PprOwiUD0kzp2i3EsXrtvm1dl/VXZ23nXbAOUhMNCXsYYqg/GIqoYxiaqE8Yiq5lbGpJubSQEBZVtZzHJ0AAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIB6VXQCqj+cmxd2wja2oyIBKAAAAAKBqIoSj3Fy4YJXD4azsMgAAAACgymI5OgAAAAAABiGEAwAAAABgEEI4AAAAAAAGIYQDAAAAAGAQQjgAAAAAAAYhhAMAAAAAYBBCOAAAAAAABuF3wlFuAgLMV91ebCvWxZwCg6sBAAAAgKqHEI5y8+UHe2XPK7xie8sXuhlfDAAAAABUQSxHBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEII/5Vr0qSJLl++XO7nzcjI0IABA8r9vAAAAABwJyOEAwAAAABgEI/KLgDl59ChQ5o1a5by8/Pl4+Oj2NhYtWjRQpK0Y8cOLVq0SMXFxXJzc9OcOXPUtGlTjR8/XllZWbLb7QoKClJcXJzq1KlTyVcCAAAAANUTIbyasNlsiomJ0ezZsxUaGqr09HTFxMToo48+0qlTpzR16lStWrVKwcHBstlsstlskqTY2Fj5+/tLkuLj47Vs2TJNmDChMi8FAAAAAKotQng1kZWVJU9PT4WGhkqSOnXqJE9PT2VlZSkzM1NdunRRcHCwJMnLy0teXl6SpOTkZFksFtntduXn57vaAAAAAADKHyH8DpaZmanVq1crKSlJ/v7+slgsWrNmTWWXBQAAAADVFi9mqyYaNmwou92uvXv3SpL27Nmj4uJiNWzYUJ07d1ZaWpq+//57ST8tXbdarcrNzZXZbFbdunVls9m0fv36SrwCAAAAAKj+mAmvJry8vJSQkFDqxWwLFy6Ul5eXgoODNWPGDI0bN04lJSVyd3fXnDlzFBYWppSUFPXq1Ut+fn4KCQnR4cOHK/tSAAAAAKDaMjmdTmdlF4Hq4csP9sqeV3jF9pYvdFN2dl4lVIQ7WWCgL+MOVQbjEVUNYxJVCeMRVc2tjEk3N5MCAsxla3srRQEAAAAAgJtHCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAM4lHZBaD6aPZ0x6tuL7YVG1wJAAAAAFRNhHCUmwsXrHI4nJVdBgAAAABUWSxHBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIPxOOMpNQID5im02m105OYWVUA0AAAAAVD2EcJSbZcuWKTc3t9S28ePHSyKEAwAAAIDEcnQAAAAAAAxDCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghHAAAAAAAAxCCAcAAAAAwCCEcAAAAAAADEIIBwAAAADAIIRwAAAAAAAMQggHAAAAAMAghoTw6OhoFRYWGtEVysH27dt16NChyi4DAAAAAKodQ0J4cnKyatSoYURXv3rFxcWVXQIhHAAAAAAqiIcRnTRp0kQHDhxQrVq1FB4err59+2rv3r06e/asxo8frwsXLig1NVU5OTmKi4tTu3btdPLkSQ0cOFCDBw/W7t27VVhYqPnz5yspKUlffPGFatSoocWLFyswMFCLFi1Sfn6+Jk2aJEmlvi9atEhZWVnKy8vTDz/8oKCgIC1cuFA1a9bU5cuXNXPmTB0+fFjSTzP2o0ePliT95S9/UWpqqry9vWUymfT+++8rNzdXAwcOVEZGhiS5aszIyHB97t+/v/75z39Kkt58802FhISUad+AAQO0d+9eDR48WN27d9fMmTN1+vRpFRUVqXfv3nr++eflcDg0ffp07d27V15eXvLx8VFSUpIuXLjguo+SFBoaqilTpujrr7/WtGnTVFBQoKKiIg0ePFjPPPOMJOn111+Xl5eXvv/+e505c0atWrXS3Llz9dlnn+nTTz9Venq61q5dq5EjR6pfv35GDBMAAAAAqPYMCeH/zWaz6e9//7sOHTqk4cOHa+LEiVq3bp22bNmiBQsWaPXq1ZKkS5cuqW3btho/frwSExP1zDPP6IMPPtDMmTP11ltvaeXKlRo3btwN+/vXv/6ldevWydfXV6NGjZLFYtHgwYO1ePFiORwOWSwWXb58WU888YR+97vfqWXLllqxYoU+++wz1ahRQ1arVTVq1FBubu51+7l06ZKaNm2q119/XRkZGXr11Ve1ffv2Mu176KGHXH9EGDlypF544QW1a9dONptNzzzzjB566CH5+fkpIyNDW7ZskZubm3JyciRJFotFQUFBWrFihSS5tjdo0EArVqyQl5eXLl++rMcff1xhYWG6//77JUlHjx7VihUrZDKZ1L9/f6WnpyssLEzh4eFq3ry5hg0bdpP/ZQEAAAAA11MpL2aLjIyUJD344IMqKChQRESEJKl58+Y6ceKEq52Pj4+6devmanv33Xfr97//vev7L9tez8MPP6zatWvLZDKpRYsWruP27Nmjxx9/XCaTSWazWb1799aePXvk6+uroKAgvfbaa1qzZo3y8/Pl4XHjv1d4enoqKipKktShQwfVqFFD33333Q33eXt7u+5Bfn6+9u3bp5kzZyo6OlqPP/64zp07p2+//Vb33nuviouLFRsbq02bNrn6bdmypdLS0jR37lzt2LFDPj4+kqTCwkJNmTJFffv21dChQ3Xu3DkdOXLEdVyPHj3k7e0tLy8vNWvWrMz3EwAAAABwayplJtzb21uS5O7uXuq7m5tbqWeivby8XJ/d3NxKfXd3d1dJSYnrs8PhcO0rKiq6an8/t/3v/f/N3d1da9as0YEDB7R3714NGDBAiYmJqlu3rpxO5zX7uVU1a9aUyWSSJDkcDplMJq1bt06enp5XtN28ebMyMjKUnp6u+fPna+PGjWrdurU2btyo9PR0JScna+nSpVq9erUWLFigwMBAzZkzRx4eHnr22WdL1fzf9+Xn+wkAAAAAqBjV4ifK7rvvPv373/+Ww+GQ1WrVzp07y3RcaGio1q9fL6fTKavVqi1btqhTp06yWq368ccf1b59e8XExOh3v/udjh49qt/85jey2+06fvy4JCk1NbXU+ex2uywWiyQpMzNThYWFatSo0Q33/ZLZbFbbtm21dOlS17b//Oc/ys7O1o8//qiCggKFhYVpwoQJ8vX11Q8//KAffvjBNZM/efJk173Iy8vT3XffLQ8PD33zzTfKzMws030xm83Ky8srU1sAAAAAQNlVykx4eevZs6e2bNmiiIgI1a9fXw8++GCZjnvhhRc0Y8YM9e3bV5IUFRWlLl266MyZM/rjH/+owsJCOZ1ONWvWTI8++qg8PDwUGxurkSNHyt/f37VU/md169bVkSNHlJiYKElasGCBa/b+evv+2/z58zV79mxXXbVq1dKsWbNUWFioN954Q8XFxSopKVGXLl3UqlUrbdy4UStWrJCbm5scDoemTZsmNzc3jR07Vq+99prWrVunhg0bql27dmW6L1FRUZo8ebK2bdvGi9kAAMD/a+/+Y6K+7ziOvzicWmWGwqzSGqrTQdRuJWK064JEJEUrx9myTtZJTbSaru2QTdo5jD+m1g1snHVqUerapEypC4zzMFu7tWZdtUVJrS2bv8oUf1QRUaCU9uDgsz+MlzIU5ITv3fD5+I/v5/v5fN93vpOvr3w/dwcA6EFB5uv7q+Gzr39TenfG+pL8/PwOX163ePFi1dTwVB3WGzr0m/QeAgb9iEBDTyKQ0I8INL70pM0WpPDwkJs715eiAAAAAABA9xHCe8iIESNu+KS7szEAAAAAwO2DEA4AAAAAgEUI4QAAAAAAWIQQDgAAAACARQjhAAAAAABYhBAOAAAAAIBFCOEAAAAAAFiEEA4AAAAAgEUI4QAAAAAAWIQQDgAAAACARQjhAAAAAABYpJ+/C0DfsWDBgg7Hmptb/FAJAAAAAAQmQjh6TG1to9rajL/LAAAAAICAxXZ0AAAAAAAsQggHAAAAAMAihHAAAAAAACxCCAcAAAAAwCKEcAAAAAAALEIIBwAAAADAIoRwAAAAAAAswu+Eo8eEh4d0OOZpadaVOrcfqgEAAACAwEMIR48pe3uD3F/WtTs2JXmlJEI4AAAAAEhsRwcAAAAAwDKEcAAAAAAALEIIBwAAAADAIoRwAAAAAAAsQggHAAAAAMAihHAAAAAAACxCCAcAAAAAwCKEcAAAAAAALEIIBwAAAADAIoRwAAAAAAAsQggHAAAAAMAihHAAAAAAACzSp0L42bNn9cYbb7Q7tmDBAp0+ffq65y9dulTl5eVdrnvlyhWlpaXJ4XDolVde0ZIlS1RQUNAjNfeksrIyvffee/4uAwAAAABwA30qhJ87d65DCM/Pz1dkZOR1z3/hhRc0ceLELtd9//33NWTIEDmdTj355JM9UmtvOHDggPbt2+fT3NbW1h6uBgAAAADwv/r5u4DOLF68WCdPnlRLS4siIyO1du1aHT16VGvXrtX999+vQ4cOKSgoSL/73e80evRorVq1SmfPnpXD4dC9996rjRs3KiEhQXl5eYqKiuqwfnp6uubNm6epU6dqyZIl6t+/v06dOqULFy4oJiZGOTk5KisrU25urhobG+VwOLRs2bJ2a7z//vvasGGD3G63Wltb9dRTT2nmzJne9cePH6+PP/5Y586d0xNPPKFhw4apoKBAFy9e1HPPPacZM2ZIkqKjo5WZmam///3vqqur05o1a7R//37985//lMfj0UsvvaTRo0erpqZGv/jFL/TFF1/I7XYrPj5ezz//vI4dO6bCwkK1tbVp//79mjlzphYuXKiSkhJt375dkhQZGalVq1YpPDxcxcXF2r17twYPHqyqqiqtXbtW2dnZKi0t9b62lJQUrVy5UhMmTOitf2IAAAAAuK0E9JPwpUuXqri4WC6XS2PGjFF+fr4k6dNPP1VaWppcLpdmzJihLVu2SJKWL1+u0aNHy+l0auPGjd2+3okTJ5Sfn6/S0lL961//0v79+/XAAw8oIyNDDz74oJxOZ4cn5+PGjdOOHTtUUlKiV199VTk5Oaqvr/eOX7hwQQUFBdq1a5c2btyoEydOqLCwUBs2bNBvfvObdmsNGTJERUVFysrK0tNPP60JEyaopKREDodDL7/8svecvLw8FRcXq6SkRBUVFXr33XcVHR2ttLQ0zZo1S06nUwsXLtTx48f14osvavv27XK5XPrOd76j1atXe693+PBh/fKXv1Rpaam+973vadCgQTpw4IAkqby8XDabjQAOAAAAAD0ooJ+EO51OuVwutbS0qKmpSSNHjlRcXJxGjRqlcePGSZJiYmK0d+/eHrleYmKiBgwYIOlquD59+rR+8IMfdDrn8uXLys7OVlVVlYKDg1VfX6+TJ08qJiZGkjR9+nTZbDYNGzZMoaGhSkxMlCSNHz9e1dXVcrvd3mteeyo+fvx4SdLUqVMlSffdd5/+9re/Sbq6bTw3N1eHDh2SMUaXLl3S0aNHNWXKlA61lZWVKT4+XnfddZckeT/Xfs2ECRPabdVPT0/Xjh07NGnSJP3xj3/UT37yk26+gwAAAACAzgTsk/Dy8nLt3LlTr7zyilwulzIzM9Xc3CxJ6t+/v/c8m80mj8fT5XrHjh2Tw+GQw+HQ2rVrr3vOtTAsScHBwTf1OemVK1dq0qRJcrlccjqdGj58uNxu9w3XvPZ3cHCwJLWr/dqYzWa74Wt89dVX1dDQoD/96U9yuVxKTExsd73uGDx4cLu/p0+frsOHD+vf//63ysrKlJyc7NO6AAAAAIDrC9gn4Q0NDQoJCVFoaKiam5tVVFTU5ZyQkBA1NjZedyw6OlpOp7Ony9Tnn3+ue+65R0FBQdq3b5+qqqp6/Br/e72hQ4dqwIABqq6u1ttvv60f//jHkq6+/urqau+5kydP1tatW1VTU6OhQ4dq165devDBB2+49je+8Q2lpqbqpz/9qex2u+64445efS0AAAAAcLsJ2CfhcXFxioyMVFJSkubMmePdft6Z6OhojRo1SsnJycrIyLCgyqtfHpebmyuHw6G//OUvio6O7tXrpaen68MPP1RycrKys7P1/e9/3zuWmJioTz75RA6HQ9u2bVNUVJSysrI0b9482e12HT16VEuXLu10/ccee0zV1dXeYA8AAAAA6DlBxhjj7yIQOJxOp/bs2aNt27Z1e27Z2xvk/rKu3bEpyStVU/N5T5UH3LShQ79J7yFg0I8INPQkAgn9iEDjS0/abEEKDw+5qXMDdjs6rDd//nydPn3a+03sAAAAAICeRQiH17XfEwcAAAAA9I6A/Uw4AAAAAAB9DSEcAAAAAACLEMIBAAAAALAIIRwAAAAAAIsQwgEAAAAAsAghHAAAAAAAixDCAQAAAACwCCEcAAAAAACLEMIBAAAAALBIP38XgL5j8rTMDsc8Lc1+qAQAAAAAAhMhHD2mtrZRbW3G32UAAAAAQMBiOzoAgESXPQAACvlJREFUAAAAABYhhAMAAAAAYBFCOAAAAAAAFiGEAwAAAABgEUI4AAAAAAAWIYQDAAAAAGARQjgAAAAAABbhd8LRY8LDQzocc7d41FD3pR+qAQAAAIDAQwhHj1n95ge60uRud2z9I/F+qgYAAAAAAg/b0QEAAAAAsAghHAAAAAAAixDCAQAAAACwCCEcAAAAAACLEMIBAAAAALAIIRwAAAAAAIsQwgEAAAAAsAghHAAAAAAAixDCAQAAAACwCCEcAAAAAACLEMIBAAAAALAIIRwAAAAAAIsQwnvZ2bNn9cYbb7Q7tmDBAp0+fdrnNTubn56err179/q8tiT9/ve/V3Nz8y2tAQAAAADoiBDey86dO9chhOfn5ysyMtLnNW91flc2bdqklpaWXlsfAAAAAG5XhPBuWrx4sR599FHZ7XY988wzqq+vV1lZmRwOh5YvXy673a6UlBRVVlZKklatWqXKyko5HA5lZGRIkhISEnT8+HFJUlVVlebOnSu73a5HHnlE7777riRpy5YtevbZZyVJX375pex2u/7xj390mP/pp5/qscce08yZM/Xzn/9cbrfbW+sf/vAHpaamatasWZo9e7aOHDniHYuOjlZeXp5SU1M1bdo0vfnmm5KkX//615KktLQ0ORwONTQ09Np7CQAAAAC3G0J4Ny1dulTFxcVyuVwaM2aM8vPzJV0Nw2lpaXK5XJoxY4a2bNkiSVq+fLlGjx4tp9OpjRs3dlgvKytLycnJcrlcWrdunZ577jldvnxZTz31lJqamvT6669r1apViouLU3x8fIf5zz//vB5//HHt2bNHc+fO1SeffOIdmzVrloqKilRSUqJFixZpxYoV7eaGhISoqKhIubm5WrNmjSR5zyksLJTT6dSQIUN65o0DAAAAAKifvwv4f+N0OuVyudTS0qKmpiaNHDlScXFxGjVqlMaNGydJiomJuanPZTc2NurIkSNKTU2VJI0ZM0Zjx47VRx99pISEBK1bt04Oh0N33323duzYcd35x48fl8Ph8F43KirKO15RUaGtW7eqvr5eQUFBOnXqVLv5Dz/8sHfexYsX5Xa7NWDAAJ/eFwAAAABA1wjh3VBeXq6dO3eqsLBQYWFhcrlc2rVrlySpf//+3vNsNps8Hs8tX+/s2bOy2WxqaGjQV199pZCQkJue29zcrEWLFqmgoEDjx49XdXW1pkyZ0u6ca4E7ODhYkuTxeAjhAAAAANCL2I7eDQ0NDQoJCVFoaKiam5tVVFTU5ZyQkBA1NjbecGzs2LH685//LEmqrKzU0aNHFRMTo/r6emVlZWn9+vV6+OGHtWzZsuvOj4qKksvlkiR9/PHH3s+KNzc3y+PxKCIiQpKu+yT9RgYPHnzDmgEAAAAAviOEd0NcXJwiIyOVlJSkOXPmeLefdyY6OlqjRo1ScnKy94vZvu7FF1/U7t27ZbfblZWVpdzcXIWFhSk7O1upqamaOHGinnnmGV26dEk7d+7sMD83N1cFBQVKTk7Wa6+9pu9+97uSrgb0jIwM/fCHP9Sjjz6qQYMG3fTrnDdvnp544gm+mA0AAAAAeliQMcb4uwj0Davf/EBXmtztjq1/JF41NZ/7qSLczoYO/Sa9h4BBPyLQ0JMIJPQjAo0vPWmzBSk8/OY+PsyTcAAAAAAALEIIBwAAAADAIoRwAAAAAAAsQggHAAAAAMAihHAAAAAAACxCCAcAAAAAwCKEcAAAAAAALEIIBwAAAADAIoRwAAAAAAAsQggHAAAAAMAihHAAAAAAACxCCAcAAAAAwCL9/F0A+o5lSQ90OOZu8fihEgAAAAAITIRw9Jja2ka1tRl/lwEAAAAAAYvt6AAAAAAAWIQn4egxNluQv0sA2qEnEUjoRwQaehKBhH5EoOluT3bn/CBjDPuHAQAAAACwANvRAQAAAACwCCEcAAAAAACLEMIBAAAAALAIIRwAAAAAAIsQwgEAAAAAsAghHAAAAAAAixDCAQAAAACwCCEcAAAAAACLEMIBAAAAALAIIRwAAAAAAIsQwnHLTp48qdmzZyspKUmzZ8/WqVOn/F0S+pgrV65owYIFSkpKkt1u17PPPqvLly9Lkj766COlpKQoKSlJ8+bNU21trXeer2PAzdq0aZOio6N1/PhxSfQj/MftdmvFihV66KGHZLfbtWzZMkmd36N9HQO6snfvXs2aNUsOh0MpKSl66623JNGPsE5OTo4SEhLa3aOl3ulBn/rTALcoPT3dlJSUGGOMKSkpMenp6X6uCH3NlStXzAcffOD9+7e//a351a9+ZVpbW01iYqI5ePCgMcaYzZs3myVLlhhjjM9jwM2qqKgw8+fPN1OnTjXHjh2jH+FXq1evNi+88IJpa2szxhhTU1NjjOn8Hu3rGNCZtrY2M3HiRHPs2DFjjDFHjhwxMTExprW1lX6EZQ4ePGg+++wz7z36mt7oQV/6kxCOW3Lp0iUTGxtrPB6PMcYYj8djYmNjTW1trZ8rQ1/217/+1cydO9ccPnzYzJw503u8trbWxMTEGGOMz2PAzXC73eZHP/qROXPmjPcGTz/CXxobG01sbKxpbGxsd7yze7SvY0BX2trazKRJk0x5ebkxxpgDBw6Yhx56iH6EX3w9hPdGD/ran/1u/WE/bmfnz5/XsGHDFBwcLEkKDg7WXXfdpfPnzyssLMzP1aEvamtr086dO5WQkKDz58/r7rvv9o6FhYWpra1NdXV1Po+FhoZa+nrw/+mll15SSkqKRowY4T1GP8Jfzpw5o9DQUG3atEllZWUaPHiwFi1apIEDB97wHm2M8WmMezu6EhQUpA0bNujpp5/WoEGD9MUXX2jbtm2d/p+RfoQVeqMHfe1PPhMO4P/K6tWrNWjQIM2ZM8ffpeA2dejQIVVUVOjxxx/3dymAJKm1tVVnzpzRuHHjVFxcrKysLP3sZz9TU1OTv0vDbcjj8Wjr1q3asmWL9u7dq5dfflmZmZn0I/A1PAnHLYmIiFB1dbVaW1sVHBys1tZWXbx4UREREf4uDX1QTk6OqqqqlJeXJ5vNpoiICH322Wfe8cuXL8tmsyk0NNTnMaArBw8eVGVlpaZNmyZJunDhgubPn6/09HT6EX4RERGhfv36KTk5WZJ0//33684779TAgQNveI82xvg0BnTlyJEjunjxomJjYyVJsbGxuuOOOzRgwAD6EX7VWW7xtQd97U+ehOOWhIeHa+zYsSotLZUklZaWauzYsWwPQo9bv369KioqtHnzZvXv31+SdN999+mrr75SeXm5JKmwsFDTp0+/pTGgKwsXLtR7772nd955R++8846GDx+u7du368knn6Qf4RdhYWGaPHmy9u3bJ+nqN/XW1tZq5MiRN7xHd3b/5t6OWzF8+HBduHBB//nPfyRJlZWVqq2t1b333ks/wq987bPe6M8gY4zpxdeK20BlZaWWLFmihoYGDRkyRDk5Ofr2t7/t77LQh5w4cULJyckaOXKkBg4cKEkaMWKENm/erA8//FArVqyQ2+3WPffco3Xr1ulb3/qWJPk8BnRHQkKC8vLyFBUVRT/Cb86cOaPs7GzV1dWpX79+yszMVHx8fKf3aF/HgK7s3r1b+fn5CgoKkiRlZGQoMTGRfoRl1qxZo7feekuXLl3SnXfeqdDQUO3Zs6dXetCX/iSEAwAAAABgEbajAwAAAABgEUI4AAAAAAAWIYQDAAAAAGARQjgAAAAAABYhhAMAAAAAYBFCOAAAAAAAFiGEAwAAAABgkf8CQi6w2WK53iwAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "CUJZgZMEG069"
      },
      "source": [
        "Verificando como estão distribuidos a quantidade de sufixos"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wjN5YMxyVC_f"
      },
      "source": [
        "contagem_total_por_sufixo = contagem_moa.groupby('sufixos').count()['Contagem'].sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "9hUQDeR5FdoT",
        "outputId": "c0d72904-d88f-46cb-c958-b71efe043dd3"
      },
      "source": [
        "fig, ax = plt.subplots(1,1,figsize=(15,8))\n",
        "sns.barplot(y=contagem_total_por_sufixo.index[:10],\n",
        "            x=contagem_total_por_sufixo.values[:10], ax=ax, orient='h')\n",
        "ax.set_title(\"Sufixos mais frenquentes nos MOAs\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "vH3bPRD9G-vm"
      },
      "source": [
        "Calculando a quantidade MOAs ativos pela quantidade total de MOAs por sufixo"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wv6e4Rh_WaML"
      },
      "source": [
        "contagem_sufixo_relativo = (contagem_MOAs_ativos_por_sufixos / contagem_total_por_sufixo).sort_values(ascending=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 501
        },
        "id": "CuHfLZk1Z3pR",
        "outputId": "06b5ff4d-aea7-44bf-b6d0-f32781e752c3"
      },
      "source": [
        "fig, ax = plt.subplots(1,1,figsize=(15,8))\n",
        "sns.barplot(y=contagem_sufixo_relativo.index[:10],\n",
        "            x=contagem_sufixo_relativo.values[:10], ax=ax, orient='h')\n",
        "ax.set_title(\"TOP 10 Sufixos mais Ativados relativamente\")\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x576 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3jkCodgOc-_q"
      },
      "source": [
        "## Desafio 02: Criar a coluna eh_controle para quando na linha tratamento == com_controle"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "id": "CA6IOJZQcz7P",
        "outputId": "92402a5f-f20f-47f0-c128-ba8e3a37fa5d"
      },
      "source": [
        "dados_resultados['eh_controle'] = (dados['tratamento'] == 'com_controle')\n",
        "dados_resultados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>5-alpha_reductase_inhibitor</th>\n",
              "      <th>11-beta-hsd1_inhibitor</th>\n",
              "      <th>acat_inhibitor</th>\n",
              "      <th>acetylcholine_receptor_agonist</th>\n",
              "      <th>acetylcholine_receptor_antagonist</th>\n",
              "      <th>acetylcholinesterase_inhibitor</th>\n",
              "      <th>adenosine_receptor_agonist</th>\n",
              "      <th>adenosine_receptor_antagonist</th>\n",
              "      <th>adenylyl_cyclase_activator</th>\n",
              "      <th>adrenergic_receptor_agonist</th>\n",
              "      <th>adrenergic_receptor_antagonist</th>\n",
              "      <th>akt_inhibitor</th>\n",
              "      <th>aldehyde_dehydrogenase_inhibitor</th>\n",
              "      <th>alk_inhibitor</th>\n",
              "      <th>ampk_activator</th>\n",
              "      <th>analgesic</th>\n",
              "      <th>androgen_receptor_agonist</th>\n",
              "      <th>androgen_receptor_antagonist</th>\n",
              "      <th>anesthetic_-_local</th>\n",
              "      <th>angiogenesis_inhibitor</th>\n",
              "      <th>angiotensin_receptor_antagonist</th>\n",
              "      <th>anti-inflammatory</th>\n",
              "      <th>antiarrhythmic</th>\n",
              "      <th>antibiotic</th>\n",
              "      <th>anticonvulsant</th>\n",
              "      <th>antifungal</th>\n",
              "      <th>antihistamine</th>\n",
              "      <th>antimalarial</th>\n",
              "      <th>antioxidant</th>\n",
              "      <th>antiprotozoal</th>\n",
              "      <th>antiviral</th>\n",
              "      <th>apoptosis_stimulant</th>\n",
              "      <th>aromatase_inhibitor</th>\n",
              "      <th>atm_kinase_inhibitor</th>\n",
              "      <th>atp-sensitive_potassium_channel_antagonist</th>\n",
              "      <th>atp_synthase_inhibitor</th>\n",
              "      <th>atpase_inhibitor</th>\n",
              "      <th>atr_kinase_inhibitor</th>\n",
              "      <th>aurora_kinase_inhibitor</th>\n",
              "      <th>...</th>\n",
              "      <th>raf_inhibitor</th>\n",
              "      <th>ras_gtpase_inhibitor</th>\n",
              "      <th>retinoid_receptor_agonist</th>\n",
              "      <th>retinoid_receptor_antagonist</th>\n",
              "      <th>rho_associated_kinase_inhibitor</th>\n",
              "      <th>ribonucleoside_reductase_inhibitor</th>\n",
              "      <th>rna_polymerase_inhibitor</th>\n",
              "      <th>serotonin_receptor_agonist</th>\n",
              "      <th>serotonin_receptor_antagonist</th>\n",
              "      <th>serotonin_reuptake_inhibitor</th>\n",
              "      <th>sigma_receptor_agonist</th>\n",
              "      <th>sigma_receptor_antagonist</th>\n",
              "      <th>smoothened_receptor_antagonist</th>\n",
              "      <th>sodium_channel_inhibitor</th>\n",
              "      <th>sphingosine_receptor_agonist</th>\n",
              "      <th>src_inhibitor</th>\n",
              "      <th>steroid</th>\n",
              "      <th>syk_inhibitor</th>\n",
              "      <th>tachykinin_antagonist</th>\n",
              "      <th>tgf-beta_receptor_inhibitor</th>\n",
              "      <th>thrombin_inhibitor</th>\n",
              "      <th>thymidylate_synthase_inhibitor</th>\n",
              "      <th>tlr_agonist</th>\n",
              "      <th>tlr_antagonist</th>\n",
              "      <th>tnf_inhibitor</th>\n",
              "      <th>topoisomerase_inhibitor</th>\n",
              "      <th>transient_receptor_potential_channel_antagonist</th>\n",
              "      <th>tropomyosin_receptor_kinase_inhibitor</th>\n",
              "      <th>trpv_agonist</th>\n",
              "      <th>trpv_antagonist</th>\n",
              "      <th>tubulin_inhibitor</th>\n",
              "      <th>tyrosine_kinase_inhibitor</th>\n",
              "      <th>ubiquitin_specific_protease_inhibitor</th>\n",
              "      <th>vegfr_inhibitor</th>\n",
              "      <th>vitamin_b</th>\n",
              "      <th>vitamin_d_receptor_agonist</th>\n",
              "      <th>wnt_inhibitor</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "      <th>eh_controle</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 210 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  5-alpha_reductase_inhibitor  ...  ativo_moa  eh_controle\n",
              "0  id_000644bb2                            0  ...       True        False\n",
              "1  id_000779bfc                            0  ...      False        False\n",
              "2  id_000a6266a                            0  ...       True        False\n",
              "3  id_0015fd391                            0  ...      False        False\n",
              "4  id_001626bd3                            0  ...       True        False\n",
              "\n",
              "[5 rows x 210 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "9-GbQRvgk7FH",
        "outputId": "6ae94d4f-d05c-45d0-a7c6-ea326585d829"
      },
      "source": [
        "dados_combinados = pd.merge(dados, dados_resultados[['id','n_moa', 'ativo_moa','eh_controle']], on='id')\n",
        "dados_combinados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "      <th>eh_controle</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 880 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ...    c-99  n_moa  ativo_moa  eh_controle\n",
              "0  id_000644bb2  com_droga     24   D1  ...  0.4176      1       True        False\n",
              "1  id_000779bfc  com_droga     72   D1  ...  0.7371      0      False        False\n",
              "2  id_000a6266a  com_droga     48   D1  ...  0.6931      3       True        False\n",
              "3  id_0015fd391  com_droga     48   D1  ... -0.8154      0      False        False\n",
              "4  id_001626bd3  com_droga     72   D2  ...  0.7125      1       True        False\n",
              "\n",
              "[5 rows x 880 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Wv0EJ77pkZV6"
      },
      "source": [
        "## Desafio 03: Criar três colunas para indicar o tempo 24, 48, 72"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "0kuMaVGykFtT",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 270
        },
        "outputId": "e89fbd5e-3cb8-43c9-8be9-a1974c59114f"
      },
      "source": [
        "dados_resultados['24'] = (dados['tempo'] == 24)\n",
        "dados_resultados['48'] = (dados['tempo'] == 48)\n",
        "dados_resultados['72'] = (dados['tempo'] == 72)\n",
        "dados_resultados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>5-alpha_reductase_inhibitor</th>\n",
              "      <th>11-beta-hsd1_inhibitor</th>\n",
              "      <th>acat_inhibitor</th>\n",
              "      <th>acetylcholine_receptor_agonist</th>\n",
              "      <th>acetylcholine_receptor_antagonist</th>\n",
              "      <th>acetylcholinesterase_inhibitor</th>\n",
              "      <th>adenosine_receptor_agonist</th>\n",
              "      <th>adenosine_receptor_antagonist</th>\n",
              "      <th>adenylyl_cyclase_activator</th>\n",
              "      <th>adrenergic_receptor_agonist</th>\n",
              "      <th>adrenergic_receptor_antagonist</th>\n",
              "      <th>akt_inhibitor</th>\n",
              "      <th>aldehyde_dehydrogenase_inhibitor</th>\n",
              "      <th>alk_inhibitor</th>\n",
              "      <th>ampk_activator</th>\n",
              "      <th>analgesic</th>\n",
              "      <th>androgen_receptor_agonist</th>\n",
              "      <th>androgen_receptor_antagonist</th>\n",
              "      <th>anesthetic_-_local</th>\n",
              "      <th>angiogenesis_inhibitor</th>\n",
              "      <th>angiotensin_receptor_antagonist</th>\n",
              "      <th>anti-inflammatory</th>\n",
              "      <th>antiarrhythmic</th>\n",
              "      <th>antibiotic</th>\n",
              "      <th>anticonvulsant</th>\n",
              "      <th>antifungal</th>\n",
              "      <th>antihistamine</th>\n",
              "      <th>antimalarial</th>\n",
              "      <th>antioxidant</th>\n",
              "      <th>antiprotozoal</th>\n",
              "      <th>antiviral</th>\n",
              "      <th>apoptosis_stimulant</th>\n",
              "      <th>aromatase_inhibitor</th>\n",
              "      <th>atm_kinase_inhibitor</th>\n",
              "      <th>atp-sensitive_potassium_channel_antagonist</th>\n",
              "      <th>atp_synthase_inhibitor</th>\n",
              "      <th>atpase_inhibitor</th>\n",
              "      <th>atr_kinase_inhibitor</th>\n",
              "      <th>aurora_kinase_inhibitor</th>\n",
              "      <th>...</th>\n",
              "      <th>retinoid_receptor_antagonist</th>\n",
              "      <th>rho_associated_kinase_inhibitor</th>\n",
              "      <th>ribonucleoside_reductase_inhibitor</th>\n",
              "      <th>rna_polymerase_inhibitor</th>\n",
              "      <th>serotonin_receptor_agonist</th>\n",
              "      <th>serotonin_receptor_antagonist</th>\n",
              "      <th>serotonin_reuptake_inhibitor</th>\n",
              "      <th>sigma_receptor_agonist</th>\n",
              "      <th>sigma_receptor_antagonist</th>\n",
              "      <th>smoothened_receptor_antagonist</th>\n",
              "      <th>sodium_channel_inhibitor</th>\n",
              "      <th>sphingosine_receptor_agonist</th>\n",
              "      <th>src_inhibitor</th>\n",
              "      <th>steroid</th>\n",
              "      <th>syk_inhibitor</th>\n",
              "      <th>tachykinin_antagonist</th>\n",
              "      <th>tgf-beta_receptor_inhibitor</th>\n",
              "      <th>thrombin_inhibitor</th>\n",
              "      <th>thymidylate_synthase_inhibitor</th>\n",
              "      <th>tlr_agonist</th>\n",
              "      <th>tlr_antagonist</th>\n",
              "      <th>tnf_inhibitor</th>\n",
              "      <th>topoisomerase_inhibitor</th>\n",
              "      <th>transient_receptor_potential_channel_antagonist</th>\n",
              "      <th>tropomyosin_receptor_kinase_inhibitor</th>\n",
              "      <th>trpv_agonist</th>\n",
              "      <th>trpv_antagonist</th>\n",
              "      <th>tubulin_inhibitor</th>\n",
              "      <th>tyrosine_kinase_inhibitor</th>\n",
              "      <th>ubiquitin_specific_protease_inhibitor</th>\n",
              "      <th>vegfr_inhibitor</th>\n",
              "      <th>vitamin_b</th>\n",
              "      <th>vitamin_d_receptor_agonist</th>\n",
              "      <th>wnt_inhibitor</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "      <th>eh_controle</th>\n",
              "      <th>24</th>\n",
              "      <th>48</th>\n",
              "      <th>72</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>...</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 213 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id  5-alpha_reductase_inhibitor  ...     48     72\n",
              "0  id_000644bb2                            0  ...  False  False\n",
              "1  id_000779bfc                            0  ...  False   True\n",
              "2  id_000a6266a                            0  ...   True  False\n",
              "3  id_0015fd391                            0  ...   True  False\n",
              "4  id_001626bd3                            0  ...  False   True\n",
              "\n",
              "[5 rows x 213 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "x-2-k7pXyt5o",
        "outputId": "46a4d4f6-fa46-4213-fa6a-e299d1329b66"
      },
      "source": [
        "dados_combinados = pd.merge(dados, dados_resultados[['id','n_moa', 'ativo_moa','eh_controle','24','48','72']], on='id')\n",
        "dados_combinados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "      <th>eh_controle</th>\n",
              "      <th>24</th>\n",
              "      <th>48</th>\n",
              "      <th>72</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>True</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 883 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ... eh_controle     24     48     72\n",
              "0  id_000644bb2  com_droga     24   D1  ...       False   True  False  False\n",
              "1  id_000779bfc  com_droga     72   D1  ...       False  False  False   True\n",
              "2  id_000a6266a  com_droga     48   D1  ...       False  False   True  False\n",
              "3  id_0015fd391  com_droga     48   D1  ...       False  False   True  False\n",
              "4  id_001626bd3  com_droga     72   D2  ...       False  False  False   True\n",
              "\n",
              "[5 rows x 883 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MYf4MD4H2M-R"
      },
      "source": [
        "Para transformar uma única coluna em outras três colunas nos baseando na classe podemos utilizar também o procedimento chamado de one hot encoding. OneHotEncoder pode ser encontrado na biblioteca sklearn. "
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SUJHmzer13hi"
      },
      "source": [
        "from sklearn.preprocessing import OneHotEncoder"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Gad_5wvS2WB4"
      },
      "source": [
        "enc = OneHotEncoder(sparse=False)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "o3dlku2K9k3r"
      },
      "source": [
        "Vamos usar a biblioteca numpy para deixar dados['tempo'] na forma que o sklearn espera."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8lKnripS8asK"
      },
      "source": [
        "import numpy as np"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KGfKqYR98VSk",
        "outputId": "69da96ce-17b5-4ee4-9f38-465eaaf02193"
      },
      "source": [
        "np.asarray(dados['tempo']).reshape(-1,1)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[24],\n",
              "       [72],\n",
              "       [48],\n",
              "       ...,\n",
              "       [48],\n",
              "       [24],\n",
              "       [72]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 87
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "YvzZzDw12241"
      },
      "source": [
        "encodado = enc.fit_transform(np.asarray(dados['tempo']).reshape(-1,1))"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ComeeJn22bh4",
        "outputId": "7e3dd2ab-180a-4320-97c9-2595dbeb95e9"
      },
      "source": [
        "encodado.shape"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(23814, 3)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 89
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "nPcZLJ9w2gsR",
        "outputId": "8ef0c2cd-d06b-4d11-980f-546dd7807855"
      },
      "source": [
        "encodado"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([[1., 0., 0.],\n",
              "       [0., 0., 1.],\n",
              "       [0., 1., 0.],\n",
              "       ...,\n",
              "       [0., 1., 0.],\n",
              "       [1., 0., 0.],\n",
              "       [0., 0., 1.]])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 90
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "xIIT6d-13Zr2"
      },
      "source": [
        "dados_resultados['24'] = encodado[:,0]\n",
        "dados_resultados['48'] = encodado[:,1]\n",
        "dados_resultados['72'] = encodado[:,2]"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "jV4e6ER_99CH",
        "outputId": "0e45d3d3-24bc-4b52-ee79-42aaf0733734"
      },
      "source": [
        "dados_combinados = pd.merge(dados, dados_resultados[['id','n_moa', 'ativo_moa','eh_controle','24','48','72']], on='id')\n",
        "dados_combinados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>tempo</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>...</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "      <th>n_moa</th>\n",
              "      <th>ativo_moa</th>\n",
              "      <th>eh_controle</th>\n",
              "      <th>24</th>\n",
              "      <th>48</th>\n",
              "      <th>72</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>24</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>3</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>48</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>...</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "      <td>0</td>\n",
              "      <td>False</td>\n",
              "      <td>False</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>72</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "      <td>1</td>\n",
              "      <td>True</td>\n",
              "      <td>False</td>\n",
              "      <td>0.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>5 rows × 883 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "             id tratamento  tempo dose  ... eh_controle   24   48   72\n",
              "0  id_000644bb2  com_droga     24   D1  ...       False  1.0  0.0  0.0\n",
              "1  id_000779bfc  com_droga     72   D1  ...       False  0.0  0.0  1.0\n",
              "2  id_000a6266a  com_droga     48   D1  ...       False  0.0  1.0  0.0\n",
              "3  id_0015fd391  com_droga     48   D1  ...       False  0.0  1.0  0.0\n",
              "4  id_001626bd3  com_droga     72   D2  ...       False  0.0  0.0  1.0\n",
              "\n",
              "[5 rows x 883 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 92
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3axd2BAI-Rc8"
      },
      "source": [
        "Nesta versão ficamos com o 1 ou 0 no lugar do True ou False."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mZ3jcNVKFVwR"
      },
      "source": [
        "###Podemos tambem utilizar o função [get_dummies](https://pandas.pydata.org/docs/reference/api/pandas.get_dummies.html) do Pandas. Esse é o processo mais direto de todos."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 439
        },
        "id": "KpWqO4YxEey8",
        "outputId": "e92635c8-a102-4c94-f7b2-0b9d7cc0dac8"
      },
      "source": [
        "pd.get_dummies(dados, columns=['tempo'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>id</th>\n",
              "      <th>tratamento</th>\n",
              "      <th>dose</th>\n",
              "      <th>composto</th>\n",
              "      <th>g-0</th>\n",
              "      <th>g-1</th>\n",
              "      <th>g-2</th>\n",
              "      <th>g-3</th>\n",
              "      <th>g-4</th>\n",
              "      <th>g-5</th>\n",
              "      <th>g-6</th>\n",
              "      <th>g-7</th>\n",
              "      <th>g-8</th>\n",
              "      <th>g-9</th>\n",
              "      <th>g-10</th>\n",
              "      <th>g-11</th>\n",
              "      <th>g-12</th>\n",
              "      <th>g-13</th>\n",
              "      <th>g-14</th>\n",
              "      <th>g-15</th>\n",
              "      <th>g-16</th>\n",
              "      <th>g-17</th>\n",
              "      <th>g-18</th>\n",
              "      <th>g-19</th>\n",
              "      <th>g-20</th>\n",
              "      <th>g-21</th>\n",
              "      <th>g-22</th>\n",
              "      <th>g-23</th>\n",
              "      <th>g-24</th>\n",
              "      <th>g-25</th>\n",
              "      <th>g-26</th>\n",
              "      <th>g-27</th>\n",
              "      <th>g-28</th>\n",
              "      <th>g-29</th>\n",
              "      <th>g-30</th>\n",
              "      <th>g-31</th>\n",
              "      <th>g-32</th>\n",
              "      <th>g-33</th>\n",
              "      <th>g-34</th>\n",
              "      <th>g-35</th>\n",
              "      <th>...</th>\n",
              "      <th>c-63</th>\n",
              "      <th>c-64</th>\n",
              "      <th>c-65</th>\n",
              "      <th>c-66</th>\n",
              "      <th>c-67</th>\n",
              "      <th>c-68</th>\n",
              "      <th>c-69</th>\n",
              "      <th>c-70</th>\n",
              "      <th>c-71</th>\n",
              "      <th>c-72</th>\n",
              "      <th>c-73</th>\n",
              "      <th>c-74</th>\n",
              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
              "      <th>c-78</th>\n",
              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
              "      <th>c-83</th>\n",
              "      <th>c-84</th>\n",
              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
              "      <th>c-88</th>\n",
              "      <th>c-89</th>\n",
              "      <th>c-90</th>\n",
              "      <th>c-91</th>\n",
              "      <th>c-92</th>\n",
              "      <th>c-93</th>\n",
              "      <th>c-94</th>\n",
              "      <th>c-95</th>\n",
              "      <th>c-96</th>\n",
              "      <th>c-97</th>\n",
              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
              "      <th>tempo_24</th>\n",
              "      <th>tempo_48</th>\n",
              "      <th>tempo_72</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>id_000644bb2</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>b68db1d53</td>\n",
              "      <td>1.0620</td>\n",
              "      <td>0.5577</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-0.6208</td>\n",
              "      <td>-0.1944</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>-1.0220</td>\n",
              "      <td>-0.0326</td>\n",
              "      <td>0.5548</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>1.1830</td>\n",
              "      <td>0.1530</td>\n",
              "      <td>0.5574</td>\n",
              "      <td>-0.4015</td>\n",
              "      <td>0.1789</td>\n",
              "      <td>-0.6528</td>\n",
              "      <td>-0.7969</td>\n",
              "      <td>0.6342</td>\n",
              "      <td>0.1778</td>\n",
              "      <td>-0.3694</td>\n",
              "      <td>-0.5688</td>\n",
              "      <td>-1.1360</td>\n",
              "      <td>-1.1880</td>\n",
              "      <td>0.6940</td>\n",
              "      <td>0.4393</td>\n",
              "      <td>0.2664</td>\n",
              "      <td>0.1907</td>\n",
              "      <td>0.1628</td>\n",
              "      <td>-0.2853</td>\n",
              "      <td>0.5819</td>\n",
              "      <td>0.2934</td>\n",
              "      <td>-0.5584</td>\n",
              "      <td>-0.0916</td>\n",
              "      <td>-0.3010</td>\n",
              "      <td>-0.1537</td>\n",
              "      <td>0.2198</td>\n",
              "      <td>...</td>\n",
              "      <td>0.8427</td>\n",
              "      <td>0.1042</td>\n",
              "      <td>0.1403</td>\n",
              "      <td>0.1758</td>\n",
              "      <td>1.2570</td>\n",
              "      <td>-0.5979</td>\n",
              "      <td>1.2250</td>\n",
              "      <td>-0.0553</td>\n",
              "      <td>0.7351</td>\n",
              "      <td>0.5810</td>\n",
              "      <td>0.9590</td>\n",
              "      <td>0.2427</td>\n",
              "      <td>0.0495</td>\n",
              "      <td>0.4141</td>\n",
              "      <td>0.8432</td>\n",
              "      <td>0.6162</td>\n",
              "      <td>-0.7318</td>\n",
              "      <td>1.2120</td>\n",
              "      <td>0.6362</td>\n",
              "      <td>-0.4427</td>\n",
              "      <td>0.1288</td>\n",
              "      <td>1.4840</td>\n",
              "      <td>0.1799</td>\n",
              "      <td>0.5367</td>\n",
              "      <td>-0.1111</td>\n",
              "      <td>-1.0120</td>\n",
              "      <td>0.6685</td>\n",
              "      <td>0.2862</td>\n",
              "      <td>0.2584</td>\n",
              "      <td>0.8076</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.1912</td>\n",
              "      <td>0.6584</td>\n",
              "      <td>-0.3981</td>\n",
              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>id_000779bfc</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>df89a8e5a</td>\n",
              "      <td>0.0743</td>\n",
              "      <td>0.4087</td>\n",
              "      <td>0.2991</td>\n",
              "      <td>0.0604</td>\n",
              "      <td>1.0190</td>\n",
              "      <td>0.5207</td>\n",
              "      <td>0.2341</td>\n",
              "      <td>0.3372</td>\n",
              "      <td>-0.4047</td>\n",
              "      <td>0.8507</td>\n",
              "      <td>-1.1520</td>\n",
              "      <td>-0.4201</td>\n",
              "      <td>-0.0958</td>\n",
              "      <td>0.4590</td>\n",
              "      <td>0.0803</td>\n",
              "      <td>0.2250</td>\n",
              "      <td>0.5293</td>\n",
              "      <td>0.2839</td>\n",
              "      <td>-0.3494</td>\n",
              "      <td>0.2883</td>\n",
              "      <td>0.9449</td>\n",
              "      <td>-0.1646</td>\n",
              "      <td>-0.2657</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.3135</td>\n",
              "      <td>-0.4316</td>\n",
              "      <td>0.4773</td>\n",
              "      <td>0.2075</td>\n",
              "      <td>-0.4216</td>\n",
              "      <td>-0.1161</td>\n",
              "      <td>-0.0499</td>\n",
              "      <td>-0.2627</td>\n",
              "      <td>0.9959</td>\n",
              "      <td>-0.2483</td>\n",
              "      <td>0.2655</td>\n",
              "      <td>-0.2102</td>\n",
              "      <td>...</td>\n",
              "      <td>0.7099</td>\n",
              "      <td>0.2912</td>\n",
              "      <td>0.4151</td>\n",
              "      <td>-0.2840</td>\n",
              "      <td>-0.3104</td>\n",
              "      <td>-0.6373</td>\n",
              "      <td>0.2887</td>\n",
              "      <td>-0.0765</td>\n",
              "      <td>0.2539</td>\n",
              "      <td>0.4443</td>\n",
              "      <td>0.5932</td>\n",
              "      <td>0.2031</td>\n",
              "      <td>0.7639</td>\n",
              "      <td>0.5499</td>\n",
              "      <td>-0.3322</td>\n",
              "      <td>-0.0977</td>\n",
              "      <td>0.4329</td>\n",
              "      <td>-0.2782</td>\n",
              "      <td>0.7827</td>\n",
              "      <td>0.5934</td>\n",
              "      <td>0.3402</td>\n",
              "      <td>0.1499</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9366</td>\n",
              "      <td>0.8193</td>\n",
              "      <td>-0.4236</td>\n",
              "      <td>0.3192</td>\n",
              "      <td>-0.4265</td>\n",
              "      <td>0.7543</td>\n",
              "      <td>0.4708</td>\n",
              "      <td>0.0230</td>\n",
              "      <td>0.2957</td>\n",
              "      <td>0.4899</td>\n",
              "      <td>0.1522</td>\n",
              "      <td>0.1241</td>\n",
              "      <td>0.6077</td>\n",
              "      <td>0.7371</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>id_000a6266a</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>18bb41b2c</td>\n",
              "      <td>0.6280</td>\n",
              "      <td>0.5817</td>\n",
              "      <td>1.5540</td>\n",
              "      <td>-0.0764</td>\n",
              "      <td>-0.0323</td>\n",
              "      <td>1.2390</td>\n",
              "      <td>0.1715</td>\n",
              "      <td>0.2155</td>\n",
              "      <td>0.0065</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.4797</td>\n",
              "      <td>-0.5631</td>\n",
              "      <td>-0.0366</td>\n",
              "      <td>-1.8300</td>\n",
              "      <td>0.6057</td>\n",
              "      <td>-0.3278</td>\n",
              "      <td>0.6042</td>\n",
              "      <td>-0.3075</td>\n",
              "      <td>-0.1147</td>\n",
              "      <td>-0.0570</td>\n",
              "      <td>-0.0799</td>\n",
              "      <td>-0.8181</td>\n",
              "      <td>-1.5320</td>\n",
              "      <td>0.2307</td>\n",
              "      <td>0.4901</td>\n",
              "      <td>0.4780</td>\n",
              "      <td>-1.3970</td>\n",
              "      <td>4.6240</td>\n",
              "      <td>-0.0437</td>\n",
              "      <td>1.2870</td>\n",
              "      <td>-1.8530</td>\n",
              "      <td>0.6069</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.1783</td>\n",
              "      <td>0.0018</td>\n",
              "      <td>-1.1800</td>\n",
              "      <td>...</td>\n",
              "      <td>0.1894</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>-2.3640</td>\n",
              "      <td>-0.4682</td>\n",
              "      <td>0.1210</td>\n",
              "      <td>-0.5177</td>\n",
              "      <td>-0.0604</td>\n",
              "      <td>0.1682</td>\n",
              "      <td>-0.4436</td>\n",
              "      <td>0.4963</td>\n",
              "      <td>0.1363</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.9760</td>\n",
              "      <td>-0.0427</td>\n",
              "      <td>-0.1235</td>\n",
              "      <td>0.0959</td>\n",
              "      <td>0.0690</td>\n",
              "      <td>-0.9416</td>\n",
              "      <td>-0.7548</td>\n",
              "      <td>-0.1109</td>\n",
              "      <td>-0.6272</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>0.1172</td>\n",
              "      <td>0.1093</td>\n",
              "      <td>-0.3113</td>\n",
              "      <td>0.3019</td>\n",
              "      <td>-0.0873</td>\n",
              "      <td>-0.7250</td>\n",
              "      <td>-0.6297</td>\n",
              "      <td>0.6103</td>\n",
              "      <td>0.0223</td>\n",
              "      <td>-1.3240</td>\n",
              "      <td>-0.3174</td>\n",
              "      <td>-0.6417</td>\n",
              "      <td>-0.2187</td>\n",
              "      <td>-1.4080</td>\n",
              "      <td>0.6931</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>id_0015fd391</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>8c7f86626</td>\n",
              "      <td>-0.5138</td>\n",
              "      <td>-0.2491</td>\n",
              "      <td>-0.2656</td>\n",
              "      <td>0.5288</td>\n",
              "      <td>4.0620</td>\n",
              "      <td>-0.8095</td>\n",
              "      <td>-1.9590</td>\n",
              "      <td>0.1792</td>\n",
              "      <td>-0.1321</td>\n",
              "      <td>-1.0600</td>\n",
              "      <td>-0.8269</td>\n",
              "      <td>-0.3584</td>\n",
              "      <td>-0.8511</td>\n",
              "      <td>-0.5844</td>\n",
              "      <td>-2.5690</td>\n",
              "      <td>0.8183</td>\n",
              "      <td>-0.0532</td>\n",
              "      <td>-0.8554</td>\n",
              "      <td>0.1160</td>\n",
              "      <td>-2.3520</td>\n",
              "      <td>2.1200</td>\n",
              "      <td>-1.1580</td>\n",
              "      <td>-0.7191</td>\n",
              "      <td>-0.8004</td>\n",
              "      <td>-1.4670</td>\n",
              "      <td>-0.0107</td>\n",
              "      <td>-0.8995</td>\n",
              "      <td>0.2406</td>\n",
              "      <td>-0.2479</td>\n",
              "      <td>-1.0890</td>\n",
              "      <td>-0.7575</td>\n",
              "      <td>0.0881</td>\n",
              "      <td>-2.7370</td>\n",
              "      <td>0.8745</td>\n",
              "      <td>0.5787</td>\n",
              "      <td>-1.6740</td>\n",
              "      <td>...</td>\n",
              "      <td>-3.7350</td>\n",
              "      <td>-2.9740</td>\n",
              "      <td>-1.4930</td>\n",
              "      <td>-1.6600</td>\n",
              "      <td>-3.1660</td>\n",
              "      <td>0.2816</td>\n",
              "      <td>-0.2990</td>\n",
              "      <td>-1.1870</td>\n",
              "      <td>-0.5044</td>\n",
              "      <td>-1.7750</td>\n",
              "      <td>-1.6120</td>\n",
              "      <td>-0.9215</td>\n",
              "      <td>-1.0810</td>\n",
              "      <td>-3.0520</td>\n",
              "      <td>-3.4470</td>\n",
              "      <td>-2.7740</td>\n",
              "      <td>-1.8460</td>\n",
              "      <td>-0.5568</td>\n",
              "      <td>-3.3960</td>\n",
              "      <td>-2.9510</td>\n",
              "      <td>-1.1550</td>\n",
              "      <td>-3.2620</td>\n",
              "      <td>-1.5390</td>\n",
              "      <td>-2.4600</td>\n",
              "      <td>-0.9417</td>\n",
              "      <td>-1.5550</td>\n",
              "      <td>0.2431</td>\n",
              "      <td>-2.0990</td>\n",
              "      <td>-0.6441</td>\n",
              "      <td>-5.6300</td>\n",
              "      <td>-1.3780</td>\n",
              "      <td>-0.8632</td>\n",
              "      <td>-1.2880</td>\n",
              "      <td>-1.6210</td>\n",
              "      <td>-0.8784</td>\n",
              "      <td>-0.3876</td>\n",
              "      <td>-0.8154</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>id_001626bd3</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D2</td>\n",
              "      <td>7cbed3131</td>\n",
              "      <td>-0.3254</td>\n",
              "      <td>-0.4009</td>\n",
              "      <td>0.9700</td>\n",
              "      <td>0.6919</td>\n",
              "      <td>1.4180</td>\n",
              "      <td>-0.8244</td>\n",
              "      <td>-0.2800</td>\n",
              "      <td>-0.1498</td>\n",
              "      <td>-0.8789</td>\n",
              "      <td>0.8630</td>\n",
              "      <td>-0.2219</td>\n",
              "      <td>-0.5121</td>\n",
              "      <td>-0.9577</td>\n",
              "      <td>1.1750</td>\n",
              "      <td>0.2042</td>\n",
              "      <td>0.1970</td>\n",
              "      <td>0.1244</td>\n",
              "      <td>-1.7090</td>\n",
              "      <td>-0.3543</td>\n",
              "      <td>-0.5160</td>\n",
              "      <td>-0.3330</td>\n",
              "      <td>-0.2685</td>\n",
              "      <td>0.7649</td>\n",
              "      <td>0.2057</td>\n",
              "      <td>1.3720</td>\n",
              "      <td>0.6835</td>\n",
              "      <td>0.8056</td>\n",
              "      <td>-0.3754</td>\n",
              "      <td>-1.2090</td>\n",
              "      <td>0.2965</td>\n",
              "      <td>-0.0712</td>\n",
              "      <td>0.6389</td>\n",
              "      <td>0.6674</td>\n",
              "      <td>-0.0783</td>\n",
              "      <td>1.1740</td>\n",
              "      <td>-0.7110</td>\n",
              "      <td>...</td>\n",
              "      <td>-0.4640</td>\n",
              "      <td>-0.5943</td>\n",
              "      <td>0.3973</td>\n",
              "      <td>0.1500</td>\n",
              "      <td>0.5178</td>\n",
              "      <td>0.5159</td>\n",
              "      <td>0.6091</td>\n",
              "      <td>0.1813</td>\n",
              "      <td>-0.4249</td>\n",
              "      <td>0.7832</td>\n",
              "      <td>0.6529</td>\n",
              "      <td>0.5648</td>\n",
              "      <td>0.4817</td>\n",
              "      <td>0.0587</td>\n",
              "      <td>0.5303</td>\n",
              "      <td>0.6376</td>\n",
              "      <td>-0.3966</td>\n",
              "      <td>-1.4950</td>\n",
              "      <td>-0.9625</td>\n",
              "      <td>-0.0541</td>\n",
              "      <td>0.6273</td>\n",
              "      <td>0.4563</td>\n",
              "      <td>0.0698</td>\n",
              "      <td>0.8134</td>\n",
              "      <td>0.1924</td>\n",
              "      <td>0.6054</td>\n",
              "      <td>-0.1824</td>\n",
              "      <td>0.0042</td>\n",
              "      <td>0.0048</td>\n",
              "      <td>0.6670</td>\n",
              "      <td>1.0690</td>\n",
              "      <td>0.5523</td>\n",
              "      <td>-0.3031</td>\n",
              "      <td>0.1094</td>\n",
              "      <td>0.2885</td>\n",
              "      <td>-0.3786</td>\n",
              "      <td>0.7125</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <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>23809</th>\n",
              "      <td>id_fffb1ceed</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D2</td>\n",
              "      <td>df1d0a5a1</td>\n",
              "      <td>0.1394</td>\n",
              "      <td>-0.0636</td>\n",
              "      <td>-0.1112</td>\n",
              "      <td>-0.5080</td>\n",
              "      <td>-0.4713</td>\n",
              "      <td>0.7201</td>\n",
              "      <td>0.5773</td>\n",
              "      <td>0.3055</td>\n",
              "      <td>-0.4726</td>\n",
              "      <td>0.1269</td>\n",
              "      <td>0.2531</td>\n",
              "      <td>0.1730</td>\n",
              "      <td>-0.4532</td>\n",
              "      <td>-1.0790</td>\n",
              "      <td>0.2474</td>\n",
              "      <td>-0.4550</td>\n",
              "      <td>0.3588</td>\n",
              "      <td>0.1600</td>\n",
              "      <td>-0.7362</td>\n",
              "      <td>-0.1103</td>\n",
              "      <td>0.8550</td>\n",
              "      <td>-0.4139</td>\n",
              "      <td>0.5541</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.5573</td>\n",
              "      <td>-0.4397</td>\n",
              "      <td>-0.9260</td>\n",
              "      <td>-0.2424</td>\n",
              "      <td>-0.6686</td>\n",
              "      <td>0.2326</td>\n",
              "      <td>0.6456</td>\n",
              "      <td>0.0136</td>\n",
              "      <td>-0.5141</td>\n",
              "      <td>-0.6320</td>\n",
              "      <td>0.7166</td>\n",
              "      <td>-0.1736</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4420</td>\n",
              "      <td>0.9641</td>\n",
              "      <td>-0.1846</td>\n",
              "      <td>-0.0014</td>\n",
              "      <td>0.3154</td>\n",
              "      <td>-0.2071</td>\n",
              "      <td>-0.6158</td>\n",
              "      <td>-0.2977</td>\n",
              "      <td>0.0992</td>\n",
              "      <td>0.6838</td>\n",
              "      <td>0.5259</td>\n",
              "      <td>0.7882</td>\n",
              "      <td>0.3119</td>\n",
              "      <td>-0.7697</td>\n",
              "      <td>0.2203</td>\n",
              "      <td>-1.0710</td>\n",
              "      <td>0.5979</td>\n",
              "      <td>0.0848</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.6293</td>\n",
              "      <td>1.1660</td>\n",
              "      <td>0.3329</td>\n",
              "      <td>0.2754</td>\n",
              "      <td>0.4108</td>\n",
              "      <td>-0.1252</td>\n",
              "      <td>-0.2340</td>\n",
              "      <td>0.2267</td>\n",
              "      <td>0.1969</td>\n",
              "      <td>0.0262</td>\n",
              "      <td>-0.8121</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.5372</td>\n",
              "      <td>-0.3246</td>\n",
              "      <td>0.0631</td>\n",
              "      <td>0.9171</td>\n",
              "      <td>0.5258</td>\n",
              "      <td>0.4680</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23810</th>\n",
              "      <td>id_fffb70c0c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D2</td>\n",
              "      <td>ecf3b6b74</td>\n",
              "      <td>-1.3260</td>\n",
              "      <td>0.3478</td>\n",
              "      <td>-0.3743</td>\n",
              "      <td>0.9905</td>\n",
              "      <td>-0.7178</td>\n",
              "      <td>0.6621</td>\n",
              "      <td>-0.2252</td>\n",
              "      <td>-0.5565</td>\n",
              "      <td>0.5112</td>\n",
              "      <td>0.6727</td>\n",
              "      <td>-0.1851</td>\n",
              "      <td>2.8650</td>\n",
              "      <td>-0.2140</td>\n",
              "      <td>-0.6153</td>\n",
              "      <td>0.8362</td>\n",
              "      <td>0.5584</td>\n",
              "      <td>-0.2589</td>\n",
              "      <td>0.1292</td>\n",
              "      <td>0.0148</td>\n",
              "      <td>0.0949</td>\n",
              "      <td>-0.2182</td>\n",
              "      <td>-0.9235</td>\n",
              "      <td>0.0749</td>\n",
              "      <td>-1.5910</td>\n",
              "      <td>-0.8359</td>\n",
              "      <td>-0.9217</td>\n",
              "      <td>0.3013</td>\n",
              "      <td>0.1716</td>\n",
              "      <td>0.0880</td>\n",
              "      <td>0.1842</td>\n",
              "      <td>0.1835</td>\n",
              "      <td>0.5436</td>\n",
              "      <td>-0.0533</td>\n",
              "      <td>-0.0491</td>\n",
              "      <td>0.9543</td>\n",
              "      <td>0.4626</td>\n",
              "      <td>...</td>\n",
              "      <td>0.8129</td>\n",
              "      <td>-0.1514</td>\n",
              "      <td>-0.4652</td>\n",
              "      <td>-0.7390</td>\n",
              "      <td>-1.3270</td>\n",
              "      <td>0.9925</td>\n",
              "      <td>1.0570</td>\n",
              "      <td>-0.3355</td>\n",
              "      <td>-0.2555</td>\n",
              "      <td>0.8219</td>\n",
              "      <td>0.6995</td>\n",
              "      <td>-0.2942</td>\n",
              "      <td>0.2408</td>\n",
              "      <td>-0.7781</td>\n",
              "      <td>-0.0929</td>\n",
              "      <td>-0.0329</td>\n",
              "      <td>0.0781</td>\n",
              "      <td>-1.4440</td>\n",
              "      <td>-0.0921</td>\n",
              "      <td>0.3188</td>\n",
              "      <td>-1.1080</td>\n",
              "      <td>0.4895</td>\n",
              "      <td>-0.2144</td>\n",
              "      <td>1.0960</td>\n",
              "      <td>0.3335</td>\n",
              "      <td>0.4444</td>\n",
              "      <td>-1.1130</td>\n",
              "      <td>0.4286</td>\n",
              "      <td>0.4426</td>\n",
              "      <td>0.0423</td>\n",
              "      <td>-0.3195</td>\n",
              "      <td>-0.8086</td>\n",
              "      <td>-0.9798</td>\n",
              "      <td>-0.2084</td>\n",
              "      <td>-0.1224</td>\n",
              "      <td>-0.2715</td>\n",
              "      <td>0.3689</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23811</th>\n",
              "      <td>id_fffc1c3f4</td>\n",
              "      <td>com_controle</td>\n",
              "      <td>D2</td>\n",
              "      <td>cacb2b860</td>\n",
              "      <td>0.3942</td>\n",
              "      <td>0.3756</td>\n",
              "      <td>0.3109</td>\n",
              "      <td>-0.7389</td>\n",
              "      <td>0.5505</td>\n",
              "      <td>-0.0159</td>\n",
              "      <td>-0.2541</td>\n",
              "      <td>0.1745</td>\n",
              "      <td>-0.0340</td>\n",
              "      <td>0.4865</td>\n",
              "      <td>-0.1854</td>\n",
              "      <td>0.0716</td>\n",
              "      <td>0.1729</td>\n",
              "      <td>-0.0434</td>\n",
              "      <td>0.1542</td>\n",
              "      <td>-0.2192</td>\n",
              "      <td>-0.0302</td>\n",
              "      <td>-0.4218</td>\n",
              "      <td>0.4057</td>\n",
              "      <td>-0.5372</td>\n",
              "      <td>0.1521</td>\n",
              "      <td>-0.2651</td>\n",
              "      <td>0.2310</td>\n",
              "      <td>-0.8101</td>\n",
              "      <td>0.4943</td>\n",
              "      <td>0.6905</td>\n",
              "      <td>-0.3720</td>\n",
              "      <td>-1.4110</td>\n",
              "      <td>0.4516</td>\n",
              "      <td>1.2300</td>\n",
              "      <td>-0.1949</td>\n",
              "      <td>-1.3280</td>\n",
              "      <td>-0.4276</td>\n",
              "      <td>-0.0040</td>\n",
              "      <td>-0.3086</td>\n",
              "      <td>-0.2355</td>\n",
              "      <td>...</td>\n",
              "      <td>0.4718</td>\n",
              "      <td>-0.2020</td>\n",
              "      <td>0.2783</td>\n",
              "      <td>0.4934</td>\n",
              "      <td>0.4144</td>\n",
              "      <td>0.5449</td>\n",
              "      <td>1.4690</td>\n",
              "      <td>-0.6142</td>\n",
              "      <td>0.6068</td>\n",
              "      <td>0.3434</td>\n",
              "      <td>0.9880</td>\n",
              "      <td>-0.0468</td>\n",
              "      <td>-0.1882</td>\n",
              "      <td>-0.0087</td>\n",
              "      <td>-0.0356</td>\n",
              "      <td>0.5718</td>\n",
              "      <td>0.4971</td>\n",
              "      <td>0.1057</td>\n",
              "      <td>0.2111</td>\n",
              "      <td>0.6992</td>\n",
              "      <td>0.0708</td>\n",
              "      <td>0.6169</td>\n",
              "      <td>0.2248</td>\n",
              "      <td>0.5994</td>\n",
              "      <td>0.2689</td>\n",
              "      <td>0.0305</td>\n",
              "      <td>1.2320</td>\n",
              "      <td>0.5409</td>\n",
              "      <td>0.3755</td>\n",
              "      <td>0.7343</td>\n",
              "      <td>0.2807</td>\n",
              "      <td>0.4116</td>\n",
              "      <td>0.6422</td>\n",
              "      <td>0.2256</td>\n",
              "      <td>0.7592</td>\n",
              "      <td>0.6656</td>\n",
              "      <td>0.3808</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23812</th>\n",
              "      <td>id_fffcb9e7c</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>8b87a7a83</td>\n",
              "      <td>0.6660</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.4392</td>\n",
              "      <td>0.2044</td>\n",
              "      <td>0.8531</td>\n",
              "      <td>-0.0343</td>\n",
              "      <td>0.0323</td>\n",
              "      <td>0.0463</td>\n",
              "      <td>0.4299</td>\n",
              "      <td>-0.7985</td>\n",
              "      <td>0.5742</td>\n",
              "      <td>0.1421</td>\n",
              "      <td>2.2700</td>\n",
              "      <td>0.2046</td>\n",
              "      <td>0.5363</td>\n",
              "      <td>-1.7330</td>\n",
              "      <td>0.1450</td>\n",
              "      <td>0.6097</td>\n",
              "      <td>0.2024</td>\n",
              "      <td>0.9865</td>\n",
              "      <td>-0.7805</td>\n",
              "      <td>0.9608</td>\n",
              "      <td>0.3440</td>\n",
              "      <td>2.7650</td>\n",
              "      <td>0.4925</td>\n",
              "      <td>0.6698</td>\n",
              "      <td>0.2374</td>\n",
              "      <td>-0.3372</td>\n",
              "      <td>0.8771</td>\n",
              "      <td>-2.6560</td>\n",
              "      <td>-0.2000</td>\n",
              "      <td>-0.2043</td>\n",
              "      <td>0.6797</td>\n",
              "      <td>-0.0248</td>\n",
              "      <td>-0.0927</td>\n",
              "      <td>1.8480</td>\n",
              "      <td>...</td>\n",
              "      <td>0.9261</td>\n",
              "      <td>0.4419</td>\n",
              "      <td>0.0295</td>\n",
              "      <td>0.4220</td>\n",
              "      <td>0.4677</td>\n",
              "      <td>-0.1184</td>\n",
              "      <td>0.4524</td>\n",
              "      <td>0.4135</td>\n",
              "      <td>0.1356</td>\n",
              "      <td>-0.5801</td>\n",
              "      <td>0.0411</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>1.0340</td>\n",
              "      <td>-0.0270</td>\n",
              "      <td>-0.4194</td>\n",
              "      <td>0.7403</td>\n",
              "      <td>-0.6793</td>\n",
              "      <td>-0.1423</td>\n",
              "      <td>0.7307</td>\n",
              "      <td>0.7946</td>\n",
              "      <td>-0.0650</td>\n",
              "      <td>0.9038</td>\n",
              "      <td>0.2324</td>\n",
              "      <td>0.9676</td>\n",
              "      <td>1.0940</td>\n",
              "      <td>0.4290</td>\n",
              "      <td>0.5187</td>\n",
              "      <td>-0.1105</td>\n",
              "      <td>0.4258</td>\n",
              "      <td>-0.2012</td>\n",
              "      <td>0.1506</td>\n",
              "      <td>1.5230</td>\n",
              "      <td>0.7101</td>\n",
              "      <td>0.1732</td>\n",
              "      <td>0.7015</td>\n",
              "      <td>-0.6290</td>\n",
              "      <td>0.0740</td>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23813</th>\n",
              "      <td>id_ffffdd77b</td>\n",
              "      <td>com_droga</td>\n",
              "      <td>D1</td>\n",
              "      <td>972f41291</td>\n",
              "      <td>-0.8598</td>\n",
              "      <td>1.0240</td>\n",
              "      <td>-0.1361</td>\n",
              "      <td>0.7952</td>\n",
              "      <td>-0.3611</td>\n",
              "      <td>-3.6750</td>\n",
              "      <td>-1.2420</td>\n",
              "      <td>0.9146</td>\n",
              "      <td>3.0790</td>\n",
              "      <td>1.2460</td>\n",
              "      <td>1.9460</td>\n",
              "      <td>1.4370</td>\n",
              "      <td>2.9780</td>\n",
              "      <td>2.2370</td>\n",
              "      <td>-0.6818</td>\n",
              "      <td>0.6870</td>\n",
              "      <td>-1.1060</td>\n",
              "      <td>0.0182</td>\n",
              "      <td>-0.9247</td>\n",
              "      <td>-0.0738</td>\n",
              "      <td>-0.1919</td>\n",
              "      <td>-0.7722</td>\n",
              "      <td>-1.4050</td>\n",
              "      <td>-1.0050</td>\n",
              "      <td>-1.1170</td>\n",
              "      <td>-0.5293</td>\n",
              "      <td>-1.1720</td>\n",
              "      <td>-0.2885</td>\n",
              "      <td>0.1599</td>\n",
              "      <td>-0.4250</td>\n",
              "      <td>0.3591</td>\n",
              "      <td>-0.1420</td>\n",
              "      <td>-0.9530</td>\n",
              "      <td>-0.2005</td>\n",
              "      <td>-1.8340</td>\n",
              "      <td>-0.5768</td>\n",
              "      <td>...</td>\n",
              "      <td>-4.7130</td>\n",
              "      <td>-1.7250</td>\n",
              "      <td>-3.8650</td>\n",
              "      <td>-3.0800</td>\n",
              "      <td>-4.1530</td>\n",
              "      <td>-1.2030</td>\n",
              "      <td>-1.1690</td>\n",
              "      <td>-4.1460</td>\n",
              "      <td>-1.2670</td>\n",
              "      <td>-1.1300</td>\n",
              "      <td>-2.4390</td>\n",
              "      <td>0.1591</td>\n",
              "      <td>-2.2490</td>\n",
              "      <td>-2.5860</td>\n",
              "      <td>-1.9520</td>\n",
              "      <td>-2.1810</td>\n",
              "      <td>-4.6690</td>\n",
              "      <td>-3.9450</td>\n",
              "      <td>-2.9560</td>\n",
              "      <td>-2.7930</td>\n",
              "      <td>-2.1560</td>\n",
              "      <td>-2.4100</td>\n",
              "      <td>-1.8190</td>\n",
              "      <td>-3.3480</td>\n",
              "      <td>-0.1414</td>\n",
              "      <td>-2.6430</td>\n",
              "      <td>-2.5810</td>\n",
              "      <td>-3.3890</td>\n",
              "      <td>-1.7450</td>\n",
              "      <td>-6.6300</td>\n",
              "      <td>-4.0950</td>\n",
              "      <td>-7.3860</td>\n",
              "      <td>-1.4160</td>\n",
              "      <td>-3.5770</td>\n",
              "      <td>-0.4775</td>\n",
              "      <td>-2.1500</td>\n",
              "      <td>-4.2520</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>23814 rows × 879 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "                 id    tratamento dose  ... tempo_24  tempo_48  tempo_72\n",
              "0      id_000644bb2     com_droga   D1  ...        1         0         0\n",
              "1      id_000779bfc     com_droga   D1  ...        0         0         1\n",
              "2      id_000a6266a     com_droga   D1  ...        0         1         0\n",
              "3      id_0015fd391     com_droga   D1  ...        0         1         0\n",
              "4      id_001626bd3     com_droga   D2  ...        0         0         1\n",
              "...             ...           ...  ...  ...      ...       ...       ...\n",
              "23809  id_fffb1ceed     com_droga   D2  ...        1         0         0\n",
              "23810  id_fffb70c0c     com_droga   D2  ...        1         0         0\n",
              "23811  id_fffc1c3f4  com_controle   D2  ...        0         1         0\n",
              "23812  id_fffcb9e7c     com_droga   D1  ...        1         0         0\n",
              "23813  id_ffffdd77b     com_droga   D1  ...        0         0         1\n",
              "\n",
              "[23814 rows x 879 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 93
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NQnaiCie_H5-"
      },
      "source": [
        "## Desafio 04: Estudar sobre combinações de DF https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "XeL8_Z_w_Oui"
      },
      "source": [
        "## Desafio 05: Fazer análise mais detalhada considerando tempo e dose, para comparar as distribuições (Escolher uma droga e comparar com controle)"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Waixm2gxGjgl",
        "outputId": "e5f26c90-1762-47e0-d687-0cc34eef0393"
      },
      "source": [
        "composto_principal = dados_combinados['composto'].value_counts().index[0:2]\n",
        "composto_principal"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['cacb2b860', '87d714366'], dtype='object')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 94
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "id": "snewuWZdH4rT",
        "outputId": "7f76ac41-bca0-4f7d-b111-ca05742fa818"
      },
      "source": [
        "fig, (ax1, ax2, ax3) = plt.subplots(1,3,figsize=(15,5))\n",
        "\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal & tempo == 24'), y= 'g-0', x='composto',\n",
        "            hue='ativo_moa', order=composto_principal, ax=ax1)\n",
        "\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal & tempo == 48'), y= 'g-0', x='composto',\n",
        "            hue='ativo_moa', order=composto_principal, ax=ax2)\n",
        "\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal & tempo == 48'), y= 'g-0', x='composto',\n",
        "            hue='ativo_moa', order=composto_principal, ax=ax3)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 3 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "id": "GIny1xs0JHBU",
        "outputId": "8fdfb188-7bce-49a5-9918-7aa51cd453a1"
      },
      "source": [
        "fig, (ax1, ax2) = plt.subplots(1,2,figsize=(15,5))\n",
        "\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal & dose == \"D1\"'), y= 'g-0', x='composto',\n",
        "            hue='ativo_moa', order=composto_principal, ax=ax1)\n",
        "\n",
        "sns.boxplot(data = dados_combinados.query('composto in @composto_principal & dose == \"D2\"'), y= 'g-0', x='composto',\n",
        "            hue='ativo_moa', order=composto_principal, ax=ax2)\n",
        "\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": "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\n",
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D-Ly2U6zC5vI"
      },
      "source": [
        "## Desafio 06: Descobrir se tem algum composto que dependendo da configuração do experimento, ativa ou não ativa algum MOA - (Precisamos melhorar isso)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SoCWLCXmN-D3"
      },
      "source": [
        "Na nossa tentativa parece que ou todos os compostos ativam ou nenhum ativa mesmo para números de horas e doses diferentes. Vamos utilizar o mean como uma forma de identificar se acontece alguma mudança dependendo da dose ou da hora. Caso não ocorra teremos True ou False como resultado."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7UbkoQt5L5fh",
        "outputId": "724bfd4c-633c-4f59-ef04-f45a9bf900e0"
      },
      "source": [
        "np.mean([True, True, True])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "1.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 97
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "i35OdUJrMmoH",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "1b433f46-bd97-411b-9c7b-09fd487b56c9"
      },
      "source": [
        "np.mean([False, False, False])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.0"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 98
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wTRe3aeJMnF2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "270de75c-7cad-4446-a085-ad56ca218845"
      },
      "source": [
        "np.mean([True, False, True])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0.6666666666666666"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 99
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1a8xcbqjKni5",
        "outputId": "64d8a5ae-6dce-4961-c25c-8d4ecce9095d"
      },
      "source": [
        "dados_combinados.groupby('composto').ativo_moa.mean().value_counts()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "True     2076\n",
              "False    1213\n",
              "Name: ativo_moa, dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 100
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "aruKeUeebFUI"
      },
      "source": [
        "Repare que temos apenas Trues e Falses como resultados. Isso significa que quando um composto realiza a ativação essa ativação já aparece em cada uma das fases. "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "pluaqS1bBmz9"
      },
      "source": [
        "## Desafio 07: Resumo do que você aprendeu com os dados"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hUa1ohAkbaBX"
      },
      "source": [
        "O estudo sobre a base de dados é livre. Tente extrair o máximo de informações da base de dados com o que aprendeu nesta aula e compartilhe no Discord e nas redes sociais como forma de construção do seu portfólio em Data Science."
      ]
    }
  ]
}