Plotando_Gráficos.ipynb

{
  "nbformat": 4,
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  "metadata": {
    "colab": {
      "name": "Plotando Gráficos.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyMDTN/LG3Dd6KjdsbKOiw+p",
      "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/thaislin0/Graficos-com-matplotlib/blob/main/Plotando_Gr%C3%A1ficos.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PndbnqBNykPj"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from matplotlib import colors as mcolors\n",
        "\n"
      ],
      "execution_count": 38,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 253
        },
        "id": "f0V9xU8Ey3qA",
        "outputId": "8d2ed6b7-6bde-4df2-fbff-c37c9418c388"
      },
      "source": [
        "url_dados = 'https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true'\n",
        "\n",
        "dados = pd.read_csv(url_dados, compression = 'zip')\n",
        "dados.head()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
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              "      <th>tratamento</th>\n",
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              "      <th>c-75</th>\n",
              "      <th>c-76</th>\n",
              "      <th>c-77</th>\n",
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              "      <th>c-79</th>\n",
              "      <th>c-80</th>\n",
              "      <th>c-81</th>\n",
              "      <th>c-82</th>\n",
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              "      <th>c-85</th>\n",
              "      <th>c-86</th>\n",
              "      <th>c-87</th>\n",
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              "      <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",
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              "      <th>c-98</th>\n",
              "      <th>c-99</th>\n",
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              "  </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",
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              "      <td>0.2139</td>\n",
              "      <td>0.3801</td>\n",
              "      <td>0.4176</td>\n",
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              "    <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",
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              "      <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": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "id": "QZt3z2QbzOe8",
        "outputId": "342310eb-5d34-4771-aa69-58a54e521a58"
      },
      "source": [
        "plt.bar('Com droga', dados['tratamento'].value_counts(normalize=True)[0], color = 'darkorange', align='center', data=None, width=0.7)\n",
        "plt.bar('Com tratamento', dados['tratamento'].value_counts(normalize=True)[1], color = 'gold', align='center', data=None, width=0.7)\n",
        "plt.xlabel(\"Tipo de tratamento\", color = 'peru')\n",
        "plt.ylabel(\"Porcentagem\", color='peru')\n",
        "plt.title(\"Análise de Tratamentos\", color='peru')"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Análise de Tratamentos')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 54
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "oU83_r1k1_ru"
      },
      "source": [
        "labels = '2 dias (48 horas)', '3 dias (72 horas)', '1 dia (24 Horas)'\n",
        "sizes = dados['tempo'].value_counts(normalize=True)\n",
        "explode = (0.1, 0, 0)\n"
      ],
      "execution_count": 78,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 298
        },
        "id": "3mtYeNcR9-fZ",
        "outputId": "dfae525a-ae0e-4629-8da0-960cb5b6b83a"
      },
      "source": [
        "fig1, ax1 = plt.subplots()\n",
        "ax1.pie(sizes, explode=explode, labels=labels, autopct='%1.1f%%',\n",
        "        shadow=True, startangle=90)\n",
        "ax1.axis('equal') \n",
        "plt.suptitle('Tempo da dosagem', color='peru')"
      ],
      "execution_count": 83,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 0.98, 'Tempo da dosagem')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 83
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 312
        },
        "id": "Y4PANORAESTq",
        "outputId": "12a264fd-b9b6-42a8-add0-a8d4ac6c9a8f"
      },
      "source": [
        "plt.bar('Dose D1', dados['dose'].value_counts(normalize=True)[0], color = 'darkcyan', align='center', data=None, width=0.5)\n",
        "plt.bar('Dose D2', dados['dose'].value_counts(normalize=True)[1], color = 'c', align='center', data=None, width=0.5)\n",
        "plt.xlabel(\"Tipo de tratamento\", color = 'peru')\n",
        "plt.ylabel(\"Quantidade\", color='peru')\n",
        "plt.title(\"Tipos de dose\", color='peru')"
      ],
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Tipos de dose')"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 107
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "BDvFkMdhDnBJ"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}