{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"Imercao03Aula02.ipynb","provenance":[],"authorship_tag":"ABX9TyMwE/+oJV8wPopkNnBWSWQa"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"markdown","metadata":{"id":"j6468Z2QYCNH"},"source":["### Aula 02"]},{"cell_type":"code","metadata":{"id":"EetMWwWrYFvU","executionInfo":{"status":"ok","timestamp":1620149020141,"user_tz":180,"elapsed":1009,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}}},"source":["import pandas as pd \n","import seaborn as sns\n","import matplotlib.pyplot as plt\n"],"execution_count":28,"outputs":[]},{"cell_type":"code","metadata":{"id":"4DIrxsk6YGi3","executionInfo":{"status":"ok","timestamp":1620148180423,"user_tz":180,"elapsed":5458,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}}},"source":["url_dados = 'https://github.com/alura-cursos/imersaodados3/blob/main/dados/dados_experimentos.zip?raw=true'\n","dados = pd.read_csv(url_dados, compression = 'zip')"],"execution_count":4,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":255},"id":"uZXr9Y0GYJoo","executionInfo":{"status":"ok","timestamp":1620148184150,"user_tz":180,"elapsed":624,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"91827b0e-075f-4c1d-bb7c-6ebd2b54f533"},"source":["dados.head()"],"execution_count":5,"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>droga</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":5}]},{"cell_type":"code","metadata":{"id":"cWzgSlXoYPS-","executionInfo":{"status":"ok","timestamp":1620148207034,"user_tz":180,"elapsed":1211,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}}},"source":["mapa = {'droga': 'composto'}\n","dados.rename(columns=mapa, inplace=True)"],"execution_count":7,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":255},"id":"iErjKDW9WnxK","executionInfo":{"status":"ok","timestamp":1620148485311,"user_tz":180,"elapsed":1045,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"17a3a16f-df44-485f-d274-9085cab4120d"},"source":["dados.head()"],"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n"," .dataframe tbody tr th:only-of-type {\n"," vertical-align: middle;\n"," }\n","\n"," .dataframe tbody tr th {\n"," vertical-align: top;\n"," }\n","\n"," .dataframe thead th {\n"," text-align: right;\n"," }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n"," <thead>\n"," <tr style=\"text-align: right;\">\n"," <th></th>\n"," <th>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":12}]},{"cell_type":"code","metadata":{"id":"1Iqrb2X4Xkp7","executionInfo":{"status":"ok","timestamp":1620148676205,"user_tz":180,"elapsed":676,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}}},"source":["cod_compostos = dados['composto'].value_counts().index[:5]"],"execution_count":21,"outputs":[]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"maAJKKVFYatN","executionInfo":{"status":"ok","timestamp":1620148679134,"user_tz":180,"elapsed":873,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"56bdec23-3628-45d2-b137-b7636fa950fa"},"source":["cod_compostos"],"execution_count":22,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Index(['cacb2b860', '87d714366', '9f80f3f77', '8b87a7a83', '5628cb3ee'], dtype='object')"]},"metadata":{"tags":[]},"execution_count":22}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":444},"id":"llMNX9vVYw8x","executionInfo":{"status":"ok","timestamp":1620148782598,"user_tz":180,"elapsed":629,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"cc5d2a77-32d6-47f1-8317-d4787f8d92a2"},"source":["dados.query('composto in @cod_compostos')"],"execution_count":25,"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"," 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<td>-0.2628</td>\n"," <td>-0.5276</td>\n"," <td>-2.4160</td>\n"," <td>-0.4638</td>\n"," <td>-3.8630</td>\n"," <td>-0.8880</td>\n"," <td>-1.9850</td>\n"," <td>2.0530</td>\n"," <td>-1.4700</td>\n"," <td>-3.3220</td>\n"," <td>1.8800</td>\n"," <td>...</td>\n"," <td>-9.9170</td>\n"," <td>-4.0200</td>\n"," <td>-6.7560</td>\n"," <td>-9.9170</td>\n"," <td>-4.1240</td>\n"," <td>-8.5110</td>\n"," <td>-5.7500</td>\n"," <td>-8.4760</td>\n"," <td>-6.9470</td>\n"," <td>-4.7650</td>\n"," <td>-9.7690</td>\n"," <td>-5.7900</td>\n"," <td>-9.9170</td>\n"," <td>-5.7450</td>\n"," <td>-2.3570</td>\n"," <td>-9.1190</td>\n"," <td>-4.5980</td>\n"," <td>-8.7760</td>\n"," <td>-7.7980</td>\n"," <td>-4.1620</td>\n"," <td>-6.1510</td>\n"," <td>-5.7400</td>\n"," <td>-6.8700</td>\n"," <td>-9.1000</td>\n"," <td>-3.3360</td>\n"," <td>-6.6420</td>\n"," <td>-2.2750</td>\n"," <td>-3.4720</td>\n"," <td>-6.2670</td>\n"," <td>-6.3980</td>\n"," <td>-8.6300</td>\n"," <td>-8.1490</td>\n"," <td>-6.2900</td>\n"," <td>-8.0970</td>\n"," <td>-8.7330</td>\n"," <td>-2.3780</td>\n"," <td>-8.4480</td>\n"," <td>-4.4550</td>\n"," <td>-5.7930</td>\n"," <td>-3.7000</td>\n"," </tr>\n"," <tr>\n"," <th>23805</th>\n"," <td>id_fff6df1c5</td>\n"," <td>com_droga</td>\n"," <td>48</td>\n"," <td>D2</td>\n"," <td>5628cb3ee</td>\n"," <td>1.7380</td>\n"," <td>-1.2900</td>\n"," <td>-0.4533</td>\n"," <td>-1.1640</td>\n"," <td>-0.4841</td>\n"," <td>-0.2392</td>\n"," <td>-0.1774</td>\n"," <td>-1.3980</td>\n"," <td>-0.4059</td>\n"," <td>0.1553</td>\n"," <td>0.1083</td>\n"," <td>-0.8020</td>\n"," <td>-0.5039</td>\n"," <td>-0.7167</td>\n"," <td>-0.5016</td>\n"," <td>-0.9369</td>\n"," <td>-0.5864</td>\n"," <td>-0.1009</td>\n"," <td>0.8987</td>\n"," <td>0.3389</td>\n"," <td>-1.3460</td>\n"," <td>-0.5087</td>\n"," <td>-0.0892</td>\n"," <td>-0.6559</td>\n"," <td>0.0864</td>\n"," <td>-0.6251</td>\n"," <td>0.2471</td>\n"," <td>-0.4523</td>\n"," <td>-0.0389</td>\n"," <td>1.0340</td>\n"," <td>0.0796</td>\n"," <td>-0.2560</td>\n"," <td>-0.7851</td>\n"," <td>-0.1687</td>\n"," <td>-1.2890</td>\n"," <td>...</td>\n"," <td>0.2866</td>\n"," <td>0.3854</td>\n"," <td>-0.4986</td>\n"," <td>0.2883</td>\n"," <td>0.5843</td>\n"," <td>0.0907</td>\n"," <td>-0.9303</td>\n"," <td>0.1981</td>\n"," <td>0.6515</td>\n"," <td>0.2877</td>\n"," <td>0.4389</td>\n"," <td>-0.3859</td>\n"," <td>0.5203</td>\n"," <td>-1.1070</td>\n"," <td>2.3870</td>\n"," <td>0.1820</td>\n"," <td>-0.6434</td>\n"," <td>-0.9722</td>\n"," <td>-0.4200</td>\n"," <td>-0.5693</td>\n"," <td>1.0700</td>\n"," <td>1.1110</td>\n"," <td>-0.5117</td>\n"," <td>-1.2130</td>\n"," <td>0.3769</td>\n"," <td>0.5296</td>\n"," <td>1.0400</td>\n"," <td>0.0587</td>\n"," <td>1.0150</td>\n"," <td>-0.7669</td>\n"," <td>0.2865</td>\n"," <td>0.5974</td>\n"," <td>-0.2727</td>\n"," <td>0.1188</td>\n"," <td>1.0770</td>\n"," <td>-1.0250</td>\n"," <td>0.1516</td>\n"," <td>0.4503</td>\n"," <td>-0.6312</td>\n"," <td>-0.8302</td>\n"," </tr>\n"," <tr>\n"," <th>23811</th>\n"," <td>id_fffc1c3f4</td>\n"," <td>com_controle</td>\n"," <td>48</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>...</td>\n"," <td>0.6845</td>\n"," <td>0.7127</td>\n"," <td>0.7294</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"," </tr>\n"," <tr>\n"," <th>23812</th>\n"," <td>id_fffcb9e7c</td>\n"," <td>com_droga</td>\n"," <td>24</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>...</td>\n"," <td>0.3360</td>\n"," <td>-0.6136</td>\n"," <td>0.5011</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"," </tr>\n"," </tbody>\n","</table>\n","<p>3235 rows × 877 columns</p>\n","</div>"],"text/plain":[" id tratamento tempo dose ... c-96 c-97 c-98 c-99\n","7 id_0020d0484 com_droga 48 D1 ... 0.6633 0.4562 -0.9622 0.0260\n","16 id_002fb9c19 com_droga 48 D1 ... -9.9840 -9.9840 -9.9840 -6.7840\n","25 id_0054388ec com_controle 48 D1 ... 0.8837 0.5534 0.8976 1.0050\n","38 id_0079af0fb com_controle 24 D1 ... 0.2187 0.0737 0.6498 -1.4820\n","40 id_007bfbb91 com_controle 24 D2 ... -0.5751 0.3362 0.8543 0.9180\n","... ... ... ... ... ... ... ... ... ...\n","23793 id_ffd26f361 com_controle 48 D2 ... 0.8813 0.7757 -0.5272 0.7082\n","23802 id_fff3976bd com_droga 24 D1 ... -8.4480 -4.4550 -5.7930 -3.7000\n","23805 id_fff6df1c5 com_droga 48 D2 ... 0.1516 0.4503 -0.6312 -0.8302\n","23811 id_fffc1c3f4 com_controle 48 D2 ... 0.2256 0.7592 0.6656 0.3808\n","23812 id_fffcb9e7c com_droga 24 D1 ... 0.1732 0.7015 -0.6290 0.0740\n","\n","[3235 rows x 877 columns]"]},"metadata":{"tags":[]},"execution_count":25}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":429},"id":"oeuw9oYyX4If","executionInfo":{"status":"ok","timestamp":1620149302757,"user_tz":180,"elapsed":933,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"e05a0cc6-8341-499b-d908-a1fb4ae27a3d"},"source":["sns.set()\n","plt.figure(figsize=(8,6))\n","#plt.title('')\n","ax = sns.countplot(x= 'composto', data=dados.query('composto in @cod_compostos'))\n","ax.set_title('Top 5 Compostos')\n"],"execution_count":32,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 1.0, 'Top 5 Compostos')"]},"metadata":{"tags":[]},"execution_count":32},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"rLL3NNITZOjL","executionInfo":{"status":"ok","timestamp":1620149694726,"user_tz":180,"elapsed":641,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"b5540fa7-f048-48fa-833c-e8fa86deb148"},"source":["len(dados['g-0'].unique())"],"execution_count":35,"outputs":[{"output_type":"execute_result","data":{"text/plain":["14367"]},"metadata":{"tags":[]},"execution_count":35}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KLkx-JkIc315","executionInfo":{"status":"ok","timestamp":1620149788366,"user_tz":180,"elapsed":1450,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"b52218a7-9a16-4f41-c684-f6b40e6940b1"},"source":["dados['g-0'].min()"],"execution_count":36,"outputs":[{"output_type":"execute_result","data":{"text/plain":["-5.513"]},"metadata":{"tags":[]},"execution_count":36}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BbUcP8xTc-24","executionInfo":{"status":"ok","timestamp":1620149798483,"user_tz":180,"elapsed":556,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"86da5196-3819-4142-e5f6-8a253342a864"},"source":["dados['g-0'].max()"],"execution_count":37,"outputs":[{"output_type":"execute_result","data":{"text/plain":["10.0"]},"metadata":{"tags":[]},"execution_count":37}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":287},"id":"dwEvtXRNdE6r","executionInfo":{"status":"ok","timestamp":1620149922315,"user_tz":180,"elapsed":990,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"330b0f9b-d150-4c4d-8f8d-0e45e5c03df2"},"source":["dados['g-0'].hist(bins=50)"],"execution_count":39,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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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":287},"id":"bU55wPBYhiBE","executionInfo":{"status":"ok","timestamp":1620151004253,"user_tz":180,"elapsed":876,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"c185f21e-4f2c-4339-d252-555dde3d1d8f"},"source":["dados['g-19'].hist(bins=50)"],"execution_count":41,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f9947026ad0>"]},"metadata":{"tags":[]},"execution_count":41},{"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":350},"id":"kbGfmcNKiiAf","executionInfo":{"status":"ok","timestamp":1620151300453,"user_tz":180,"elapsed":3389,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"edb4b116-b033-406d-a39d-539d792760c6"},"source":["dados.describe()"],"execution_count":44,"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>tempo</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>g-36</th>\n"," <th>g-37</th>\n"," <th>g-38</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>count</th>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>...</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," <td>23814.000000</td>\n"," </tr>\n"," <tr>\n"," <th>mean</th>\n"," <td>48.020156</td>\n"," <td>0.248366</td>\n"," <td>-0.095684</td>\n"," <td>0.152253</td>\n"," <td>0.081971</td>\n"," <td>0.057347</td>\n"," <td>-0.138836</td>\n"," <td>0.035961</td>\n"," <td>-0.202651</td>\n"," <td>-0.190083</td>\n"," <td>0.119905</td>\n"," <td>-0.123321</td>\n"," <td>0.182307</td>\n"," <td>0.143203</td>\n"," <td>0.209402</td>\n"," <td>-0.173884</td>\n"," <td>-0.024432</td>\n"," <td>0.126823</td>\n"," <td>-0.146663</td>\n"," <td>0.087687</td>\n"," <td>-0.082982</td>\n"," <td>-0.111908</td>\n"," <td>-0.087379</td>\n"," <td>0.047548</td>\n"," <td>-0.117474</td>\n"," <td>-0.113212</td>\n"," <td>-0.052746</td>\n"," <td>-0.091055</td>\n"," <td>0.112176</td>\n"," <td>-0.046458</td>\n"," <td>-0.076239</td>\n"," <td>-0.197699</td>\n"," <td>0.382177</td>\n"," <td>-0.189432</td>\n"," <td>0.078791</td>\n"," <td>-0.093312</td>\n"," <td>0.135729</td>\n"," <td>-0.188616</td>\n"," <td>-0.606710</td>\n"," <td>0.534425</td>\n"," <td>...</td>\n"," <td>-0.517397</td>\n"," <td>-0.360770</td>\n"," <td>-0.435752</td>\n"," <td>-0.613591</td>\n"," <td>-0.402083</td>\n"," <td>-0.619682</td>\n"," <td>-0.452265</td>\n"," <td>-0.497164</td>\n"," <td>-0.413836</td>\n"," <td>-0.277029</td>\n"," <td>-0.547845</td>\n"," <td>-0.358611</td>\n"," <td>-0.442906</td>\n"," <td>-0.475194</td>\n"," <td>-0.010404</td>\n"," <td>-0.467001</td>\n"," <td>-0.276963</td>\n"," <td>-0.455848</td>\n"," <td>-0.412918</td>\n"," <td>-0.456404</td>\n"," <td>-0.472514</td>\n"," <td>-0.505481</td>\n"," <td>-0.492735</td>\n"," <td>-0.446836</td>\n"," <td>-0.463029</td>\n"," <td>-0.409310</td>\n"," <td>-0.333124</td>\n"," <td>-0.295009</td>\n"," <td>-0.328342</td>\n"," <td>-0.401615</td>\n"," <td>-0.469244</td>\n"," <td>-0.461411</td>\n"," <td>-0.513256</td>\n"," <td>-0.500142</td>\n"," <td>-0.507093</td>\n"," <td>-0.353726</td>\n"," <td>-0.463485</td>\n"," <td>-0.378241</td>\n"," <td>-0.470252</td>\n"," <td>-0.301505</td>\n"," </tr>\n"," <tr>\n"," <th>std</th>\n"," <td>19.402807</td>\n"," <td>1.393399</td>\n"," <td>0.812363</td>\n"," <td>1.035731</td>\n"," <td>0.950012</td>\n"," <td>1.032091</td>\n"," <td>1.179388</td>\n"," <td>0.882395</td>\n"," <td>1.125494</td>\n"," <td>1.749885</td>\n"," <td>1.087180</td>\n"," <td>1.291501</td>\n"," <td>1.253604</td>\n"," <td>1.234590</td>\n"," <td>1.273068</td>\n"," <td>1.247178</td>\n"," <td>0.659839</td>\n"," <td>1.418997</td>\n"," <td>1.179688</td>\n"," <td>0.743301</td>\n"," <td>0.844796</td>\n"," <td>1.219529</td>\n"," <td>0.824401</td>\n"," <td>0.924838</td>\n"," <td>0.760159</td>\n"," <td>1.203186</td>\n"," <td>0.866977</td>\n"," <td>1.103765</td>\n"," <td>1.001687</td>\n"," <td>1.027758</td>\n"," <td>1.279399</td>\n"," <td>1.302567</td>\n"," <td>1.559174</td>\n"," <td>0.933514</td>\n"," <td>1.172270</td>\n"," <td>1.174325</td>\n"," <td>1.061719</td>\n"," <td>1.397677</td>\n"," <td>2.200277</td>\n"," <td>2.003317</td>\n"," <td>...</td>\n"," <td>2.122318</td>\n"," <td>1.710725</td>\n"," <td>1.898871</td>\n"," <td>2.307820</td>\n"," <td>1.785055</td>\n"," <td>2.225596</td>\n"," <td>1.991021</td>\n"," <td>2.063896</td>\n"," <td>1.887001</td>\n"," <td>1.459639</td>\n"," <td>2.187835</td>\n"," <td>1.730634</td>\n"," <td>1.924716</td>\n"," <td>2.021927</td>\n"," <td>1.029820</td>\n"," <td>2.004317</td>\n"," <td>1.429340</td>\n"," <td>1.924263</td>\n"," <td>1.888788</td>\n"," <td>1.832863</td>\n"," <td>2.011396</td>\n"," <td>2.091353</td>\n"," <td>2.055624</td>\n"," <td>1.987476</td>\n"," <td>2.014045</td>\n"," <td>1.883974</td>\n"," <td>1.647241</td>\n"," <td>1.634073</td>\n"," <td>1.663170</td>\n"," <td>1.832794</td>\n"," <td>2.000488</td>\n"," <td>2.042475</td>\n"," <td>2.001714</td>\n"," <td>2.107105</td>\n"," <td>2.159589</td>\n"," <td>1.629291</td>\n"," <td>2.059725</td>\n"," <td>1.703615</td>\n"," <td>1.834828</td>\n"," <td>1.407918</td>\n"," </tr>\n"," <tr>\n"," <th>min</th>\n"," <td>24.000000</td>\n"," <td>-5.513000</td>\n"," <td>-5.737000</td>\n"," <td>-9.104000</td>\n"," <td>-5.998000</td>\n"," <td>-6.369000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-8.337000</td>\n"," <td>-10.000000</td>\n"," <td>-5.870000</td>\n"," <td>-8.587000</td>\n"," <td>-5.018000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-4.226000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-5.700000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-8.272000</td>\n"," <td>-8.184000</td>\n"," <td>-4.835000</td>\n"," <td>-7.913000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-2.956000</td>\n"," <td>-8.356000</td>\n"," <td>-7.182000</td>\n"," <td>-10.000000</td>\n"," <td>-9.261000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>...</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-9.839000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-6.452000</td>\n"," <td>-10.000000</td>\n"," <td>-9.938000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," <td>-10.000000</td>\n"," </tr>\n"," <tr>\n"," <th>25%</th>\n"," <td>24.000000</td>\n"," <td>-0.473075</td>\n"," <td>-0.562200</td>\n"," <td>-0.437750</td>\n"," <td>-0.429575</td>\n"," <td>-0.470925</td>\n"," <td>-0.602225</td>\n"," <td>-0.493900</td>\n"," <td>-0.525175</td>\n"," <td>-0.511675</td>\n"," <td>-0.360200</td>\n"," <td>-0.511475</td>\n"," <td>-0.489675</td>\n"," <td>-0.447500</td>\n"," <td>-0.481200</td>\n"," <td>-0.607975</td>\n"," <td>-0.404150</td>\n"," <td>-0.391950</td>\n"," <td>-0.513775</td>\n"," <td>-0.272200</td>\n"," <td>-0.488675</td>\n"," <td>-0.524600</td>\n"," <td>-0.538900</td>\n"," <td>-0.440375</td>\n"," <td>-0.508900</td>\n"," <td>-0.533900</td>\n"," <td>-0.497700</td>\n"," <td>-0.512875</td>\n"," <td>-0.467800</td>\n"," <td>-0.378300</td>\n"," <td>-0.505750</td>\n"," <td>-0.457975</td>\n"," <td>-0.328200</td>\n"," <td>-0.600500</td>\n"," <td>-0.478700</td>\n"," <td>-0.570525</td>\n"," <td>-0.481800</td>\n"," <td>-0.541950</td>\n"," <td>-0.604100</td>\n"," <td>-0.470250</td>\n"," <td>...</td>\n"," <td>-0.588075</td>\n"," <td>-0.564025</td>\n"," <td>-0.561000</td>\n"," <td>-0.583250</td>\n"," <td>-0.566500</td>\n"," <td>-0.603200</td>\n"," <td>-0.541575</td>\n"," <td>-0.560825</td>\n"," <td>-0.555200</td>\n"," <td>-0.534500</td>\n"," <td>-0.569100</td>\n"," <td>-0.558300</td>\n"," <td>-0.573350</td>\n"," <td>-0.594275</td>\n"," <td>-0.389925</td>\n"," <td>-0.551200</td>\n"," <td>-0.544150</td>\n"," <td>-0.575075</td>\n"," <td>-0.568275</td>\n"," <td>-0.582650</td>\n"," <td>-0.558575</td>\n"," <td>-0.562375</td>\n"," <td>-0.572800</td>\n"," <td>-0.561225</td>\n"," <td>-0.560675</td>\n"," <td>-0.560100</td>\n"," <td>-0.533700</td>\n"," <td>-0.504575</td>\n"," <td>-0.544275</td>\n"," <td>-0.569150</td>\n"," <td>-0.566175</td>\n"," <td>-0.565975</td>\n"," <td>-0.589975</td>\n"," <td>-0.568700</td>\n"," <td>-0.563775</td>\n"," <td>-0.567975</td>\n"," <td>-0.552575</td>\n"," <td>-0.561000</td>\n"," <td>-0.592600</td>\n"," <td>-0.562900</td>\n"," </tr>\n"," <tr>\n"," <th>50%</th>\n"," <td>48.000000</td>\n"," <td>-0.008850</td>\n"," <td>-0.046600</td>\n"," <td>0.075200</td>\n"," <td>0.008050</td>\n"," <td>-0.026900</td>\n"," <td>-0.015650</td>\n"," <td>-0.000650</td>\n"," <td>-0.017900</td>\n"," <td>0.010000</td>\n"," <td>0.160450</td>\n"," <td>0.038550</td>\n"," <td>0.013800</td>\n"," <td>0.060250</td>\n"," <td>0.009800</td>\n"," <td>-0.030100</td>\n"," <td>0.000000</td>\n"," <td>0.149400</td>\n"," <td>-0.002200</td>\n"," <td>0.000000</td>\n"," <td>-0.027800</td>\n"," <td>-0.002800</td>\n"," <td>-0.069350</td>\n"," <td>-0.011800</td>\n"," <td>0.000000</td>\n"," <td>0.018300</td>\n"," <td>-0.011650</td>\n"," <td>0.016100</td>\n"," <td>0.037600</td>\n"," <td>0.003750</td>\n"," <td>0.021750</td>\n"," <td>0.027000</td>\n"," <td>0.019100</td>\n"," <td>-0.054000</td>\n"," <td>0.023350</td>\n"," <td>0.003350</td>\n"," <td>-0.000600</td>\n"," <td>0.015350</td>\n"," <td>-0.000700</td>\n"," <td>0.005800</td>\n"," <td>...</td>\n"," <td>-0.017650</td>\n"," <td>-0.041550</td>\n"," <td>-0.002950</td>\n"," <td>-0.012650</td>\n"," <td>-0.005600</td>\n"," <td>0.007650</td>\n"," <td>0.004950</td>\n"," <td>0.000000</td>\n"," <td>-0.023800</td>\n"," <td>-0.011450</td>\n"," <td>-0.007100</td>\n"," <td>-0.019500</td>\n"," <td>-0.019500</td>\n"," <td>-0.009300</td>\n"," <td>0.081550</td>\n"," <td>-0.006900</td>\n"," <td>0.018400</td>\n"," <td>-0.014650</td>\n"," <td>-0.014350</td>\n"," <td>0.005300</td>\n"," <td>-0.005300</td>\n"," <td>-0.004050</td>\n"," <td>0.003300</td>\n"," <td>-0.007900</td>\n"," <td>-0.004600</td>\n"," <td>-0.002400</td>\n"," <td>0.007850</td>\n"," <td>-0.005600</td>\n"," <td>-0.020600</td>\n"," <td>-0.030000</td>\n"," <td>-0.009900</td>\n"," <td>0.003250</td>\n"," <td>-0.009100</td>\n"," <td>-0.013750</td>\n"," <td>-0.003300</td>\n"," <td>-0.010250</td>\n"," <td>-0.001250</td>\n"," <td>-0.006800</td>\n"," <td>0.014000</td>\n"," <td>-0.019500</td>\n"," </tr>\n"," <tr>\n"," <th>75%</th>\n"," <td>72.000000</td>\n"," <td>0.525700</td>\n"," <td>0.403075</td>\n"," <td>0.663925</td>\n"," <td>0.463400</td>\n"," <td>0.465375</td>\n"," <td>0.510425</td>\n"," <td>0.528725</td>\n"," <td>0.411900</td>\n"," <td>0.549225</td>\n"," <td>0.697775</td>\n"," <td>0.525400</td>\n"," <td>0.575275</td>\n"," <td>0.604450</td>\n"," <td>0.575825</td>\n"," <td>0.457975</td>\n"," <td>0.382475</td>\n"," <td>0.829500</td>\n"," <td>0.494775</td>\n"," <td>0.327800</td>\n"," <td>0.400600</td>\n"," <td>0.492400</td>\n"," <td>0.414875</td>\n"," <td>0.433400</td>\n"," <td>0.329250</td>\n"," <td>0.527700</td>\n"," <td>0.461650</td>\n"," <td>0.508425</td>\n"," <td>0.586450</td>\n"," <td>0.431275</td>\n"," <td>0.507600</td>\n"," <td>0.458075</td>\n"," <td>0.471075</td>\n"," <td>0.391950</td>\n"," <td>0.551300</td>\n"," <td>0.503725</td>\n"," <td>0.564875</td>\n"," <td>0.517025</td>\n"," <td>0.460500</td>\n"," <td>0.642300</td>\n"," <td>...</td>\n"," <td>0.452675</td>\n"," <td>0.427675</td>\n"," <td>0.462175</td>\n"," <td>0.447975</td>\n"," <td>0.447150</td>\n"," <td>0.441250</td>\n"," <td>0.470600</td>\n"," <td>0.458550</td>\n"," <td>0.441000</td>\n"," <td>0.460075</td>\n"," <td>0.460950</td>\n"," <td>0.449975</td>\n"," <td>0.445200</td>\n"," <td>0.473200</td>\n"," <td>0.563575</td>\n"," <td>0.456350</td>\n"," <td>0.493400</td>\n"," <td>0.448375</td>\n"," <td>0.451975</td>\n"," <td>0.463075</td>\n"," <td>0.447675</td>\n"," <td>0.462000</td>\n"," <td>0.468900</td>\n"," <td>0.452375</td>\n"," <td>0.460475</td>\n"," <td>0.461675</td>\n"," <td>0.465950</td>\n"," <td>0.463400</td>\n"," <td>0.450075</td>\n"," <td>0.430875</td>\n"," <td>0.457750</td>\n"," <td>0.461500</td>\n"," <td>0.445675</td>\n"," <td>0.452900</td>\n"," <td>0.470900</td>\n"," <td>0.444750</td>\n"," <td>0.465225</td>\n"," <td>0.446400</td>\n"," <td>0.461275</td>\n"," <td>0.438650</td>\n"," </tr>\n"," <tr>\n"," <th>max</th>\n"," <td>72.000000</td>\n"," <td>10.000000</td>\n"," <td>5.039000</td>\n"," <td>8.257000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>7.282000</td>\n"," <td>7.333000</td>\n"," <td>5.473000</td>\n"," <td>8.887000</td>\n"," <td>6.433000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>4.134000</td>\n"," <td>6.418000</td>\n"," <td>4.750000</td>\n"," <td>8.872000</td>\n"," <td>4.081000</td>\n"," <td>9.842000</td>\n"," <td>5.248000</td>\n"," <td>5.942000</td>\n"," <td>5.201000</td>\n"," <td>10.000000</td>\n"," <td>8.494000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>9.416000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>6.796000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>10.000000</td>\n"," <td>5.834000</td>\n"," <td>5.602000</td>\n"," <td>10.000000</td>\n"," <td>...</td>\n"," <td>3.888000</td>\n"," <td>3.596000</td>\n"," <td>4.857000</td>\n"," <td>3.549000</td>\n"," <td>3.382000</td>\n"," <td>3.328000</td>\n"," <td>4.157000</td>\n"," <td>3.736000</td>\n"," <td>3.582000</td>\n"," <td>3.119000</td>\n"," <td>3.323000</td>\n"," <td>5.014000</td>\n"," <td>2.898000</td>\n"," <td>4.185000</td>\n"," <td>3.170000</td>\n"," <td>3.276000</td>\n"," <td>4.992000</td>\n"," <td>3.770000</td>\n"," <td>2.851000</td>\n"," <td>3.211000</td>\n"," <td>4.534000</td>\n"," <td>3.890000</td>\n"," <td>3.994000</td>\n"," <td>4.321000</td>\n"," <td>4.020000</td>\n"," <td>3.738000</td>\n"," <td>3.252000</td>\n"," <td>5.406000</td>\n"," <td>3.110000</td>\n"," <td>3.320000</td>\n"," <td>4.069000</td>\n"," <td>3.960000</td>\n"," <td>3.927000</td>\n"," <td>3.596000</td>\n"," <td>3.747000</td>\n"," <td>2.814000</td>\n"," <td>3.505000</td>\n"," <td>2.924000</td>\n"," <td>3.111000</td>\n"," <td>3.805000</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>8 rows × 873 columns</p>\n","</div>"],"text/plain":[" tempo g-0 ... c-98 c-99\n","count 23814.000000 23814.000000 ... 23814.000000 23814.000000\n","mean 48.020156 0.248366 ... -0.470252 -0.301505\n","std 19.402807 1.393399 ... 1.834828 1.407918\n","min 24.000000 -5.513000 ... -10.000000 -10.000000\n","25% 24.000000 -0.473075 ... -0.592600 -0.562900\n","50% 48.000000 -0.008850 ... 0.014000 -0.019500\n","75% 72.000000 0.525700 ... 0.461275 0.438650\n","max 72.000000 10.000000 ... 3.111000 3.805000\n","\n","[8 rows x 873 columns]"]},"metadata":{"tags":[]},"execution_count":44}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":424},"id":"0WFCpmn-jHCu","executionInfo":{"status":"ok","timestamp":1620151423459,"user_tz":180,"elapsed":550,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"7098ccc7-afd3-49fb-e53f-0c51f2a04f1e"},"source":["dados[['g-0','g-1']]"],"execution_count":45,"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>g-0</th>\n"," <th>g-1</th>\n"," </tr>\n"," </thead>\n"," <tbody>\n"," <tr>\n"," <th>0</th>\n"," <td>1.0620</td>\n"," <td>0.5577</td>\n"," </tr>\n"," <tr>\n"," <th>1</th>\n"," <td>0.0743</td>\n"," <td>0.4087</td>\n"," </tr>\n"," <tr>\n"," <th>2</th>\n"," <td>0.6280</td>\n"," <td>0.5817</td>\n"," </tr>\n"," <tr>\n"," <th>3</th>\n"," <td>-0.5138</td>\n"," <td>-0.2491</td>\n"," </tr>\n"," <tr>\n"," <th>4</th>\n"," <td>-0.3254</td>\n"," <td>-0.4009</td>\n"," </tr>\n"," <tr>\n"," <th>...</th>\n"," <td>...</td>\n"," <td>...</td>\n"," </tr>\n"," <tr>\n"," <th>23809</th>\n"," <td>0.1394</td>\n"," <td>-0.0636</td>\n"," </tr>\n"," <tr>\n"," <th>23810</th>\n"," <td>-1.3260</td>\n"," <td>0.3478</td>\n"," </tr>\n"," <tr>\n"," <th>23811</th>\n"," <td>0.3942</td>\n"," <td>0.3756</td>\n"," </tr>\n"," <tr>\n"," <th>23812</th>\n"," <td>0.6660</td>\n"," <td>0.2324</td>\n"," </tr>\n"," <tr>\n"," <th>23813</th>\n"," <td>-0.8598</td>\n"," <td>1.0240</td>\n"," </tr>\n"," </tbody>\n","</table>\n","<p>23814 rows × 2 columns</p>\n","</div>"],"text/plain":[" g-0 g-1\n","0 1.0620 0.5577\n","1 0.0743 0.4087\n","2 0.6280 0.5817\n","3 -0.5138 -0.2491\n","4 -0.3254 -0.4009\n","... ... ...\n","23809 0.1394 -0.0636\n","23810 -1.3260 0.3478\n","23811 0.3942 0.3756\n","23812 0.6660 0.2324\n","23813 -0.8598 1.0240\n","\n","[23814 rows x 2 columns]"]},"metadata":{"tags":[]},"execution_count":45}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":287},"id":"0V1BpkPIjP1s","executionInfo":{"status":"ok","timestamp":1620151673628,"user_tz":180,"elapsed":3371,"user":{"displayName":"Lucas 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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":287},"id":"-Q1ulW7xkVep","executionInfo":{"status":"ok","timestamp":1620151728690,"user_tz":180,"elapsed":3053,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"8e44b37e-2712-4f52-b3af-58a54478a08a"},"source":["dados.loc[:,'g-0':'g-771'].describe().T['min'].hist(bins=30)"],"execution_count":53,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f9946ac0250>"]},"metadata":{"tags":[]},"execution_count":53},{"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":287},"id":"0GXpQzHUkqHE","executionInfo":{"status":"ok","timestamp":1620151815103,"user_tz":180,"elapsed":3338,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"a02a0efb-2790-4d4b-b3c7-badf6c834328"},"source":["dados.loc[:,'g-0':'g-771'].describe().T['max'].hist(bins=30)"],"execution_count":54,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f9947037a90>"]},"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":[]}}]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":287},"id":"VE-Y5MbumObl","executionInfo":{"status":"ok","timestamp":1620153767086,"user_tz":180,"elapsed":1175,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"878bfec3-e7b9-4edd-fead-2dac8c372ae3"},"source":["dados.loc[:,'c-0':'c-99'].describe().T['mean'].hist(bins=50)"],"execution_count":56,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f9946390190>"]},"metadata":{"tags":[]},"execution_count":56},{"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":304},"id":"6dhu-aHxtpXq","executionInfo":{"status":"ok","timestamp":1620154238111,"user_tz":180,"elapsed":657,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"82e1dbe8-c84f-46e2-cf23-588091efe3ef"},"source":["sns.boxplot(x='g-0', data=dados)"],"execution_count":57,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f9946423d50>"]},"metadata":{"tags":[]},"execution_count":57},{"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":522},"id":"aP5PuCKQwQuP","executionInfo":{"status":"ok","timestamp":1620156863119,"user_tz":180,"elapsed":700,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"814986f4-b500-4555-b084-9d8240acce90"},"source":["plt.figure(figsize=(10,8))\n","\n","sns.boxplot(x='tratamento', y='g-0' , data=dados)"],"execution_count":95,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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\n","text/plain":["<Figure size 720x576 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"mfb_yR4wanse"},"source":["### Desafio 01: Ordernar o gráfico countplot"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":429},"id":"LLPeh4kGyaei","executionInfo":{"status":"ok","timestamp":1620155920700,"user_tz":180,"elapsed":904,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"79f0e157-2052-49b7-e870-ae8c3ba17cf1"},"source":["sns.set()\n","plt.figure(figsize=(8,6))\n","#plt.title('')\n","ax = sns.countplot(x= 'composto', data=dados.query('composto in @cod_compostos'),order=cod_compostos)\n","ax.set_title('Top 5 Compostos')"],"execution_count":71,"outputs":[{"output_type":"execute_result","data":{"text/plain":["Text(0.5, 1.0, 'Top 5 Compostos')"]},"metadata":{"tags":[]},"execution_count":71},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"gVb8e6jXb6mp"},"source":["### Desafio 02: Melhorar a visualização alterando tamanho da fonte."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":412},"id":"D4wG-KkL1CZz","executionInfo":{"status":"ok","timestamp":1620156705535,"user_tz":180,"elapsed":829,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"b4520730-a171-4974-df6b-53b9000764e9"},"source":["\n","plt.figure(figsize=(8,6))\n","plt.title('Top 5 Compostos',fontsize=16, fontweight = \"bold\")\n","ax = sns.countplot(x= 'composto', \n"," data=dados.query('composto in @cod_compostos'),\n"," order=cod_compostos,\n"," edgecolor=sns.color_palette(\"dark\", 5))\n","\n","plt.ylabel('Valor', fontsize=12, fontweight = \"bold\")\n","plt.xlabel('Composto', fontsize=12, fontweight = \"bold\")\n","\n","plt.show()"],"execution_count":89,"outputs":[{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"TlcHefR2cDY2"},"source":["### Desafio 03: Plotar os histogramas com o Seaborn"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":431},"id":"_k3H-RXD2UeA","executionInfo":{"status":"ok","timestamp":1620156780930,"user_tz":180,"elapsed":1210,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"64cc1506-2517-40fe-994a-7e646d9bb308"},"source":["#dados['g-0'].hist(bins=50)\n","plt.figure(figsize=(8,6))\n","plt.title('Histograma Composto g-0',fontsize=16, fontweight = \"bold\")\n","plt.ylabel('Quantidade', fontsize=12, fontweight = \"bold\")\n","plt.xlabel('Composto', fontsize=12, fontweight = \"bold\")\n","\n","sns.histplot(data=dados['g-0'],bins=50)"],"execution_count":93,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 0x7f993fcd7e50>"]},"metadata":{"tags":[]},"execution_count":93},{"output_type":"display_data","data":{"image/png":"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\n","text/plain":["<Figure size 576x432 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"G-cDwfm7mGNs"},"source":["### Desafio 04: Estudar sobre as estatisticas retornadas no .describe"]},{"cell_type":"markdown","metadata":{"id":"inMssZLFxeWs"},"source":["###Desafio 05: Refletir sobre a manipulação do tamanho das visualizações"]},{"cell_type":"markdown","metadata":{"id":"EORbN6SL4NeJ"},"source":["Uma solução para o achatamento do gráfico seria aumentar o tamanho para que se possa analisar melhor a descrepancia entre os dados."]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":631},"id":"U4gwvuT33yZN","executionInfo":{"status":"ok","timestamp":1620156995170,"user_tz":180,"elapsed":827,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"e9561794-8322-4406-bb06-761bd9bd0c9c"},"source":["plt.figure(figsize=(18,10))\n","\n","sns.boxplot(x='tratamento', y='g-0' , data=dados)"],"execution_count":97,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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\n","text/plain":["<Figure size 1296x720 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"F3oFhrOfxr-L"},"source":["###Desafio 06: Fazer outras análses com o boxplot e até com o histograma"]},{"cell_type":"code","metadata":{"colab":{"base_uri":"https://localhost:8080/","height":630},"id":"IeRvtDc74hUe","executionInfo":{"status":"ok","timestamp":1620157781138,"user_tz":180,"elapsed":1144,"user":{"displayName":"Lucas Alves","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14GggnLgsIu7-n6jYQ_ljAdv3Gc4bgSyInJ-NQwATIFU=s64","userId":"05442089660626989204"}},"outputId":"560126a6-649a-46e6-a9a7-fd3fcbc383b6"},"source":["plt.figure(figsize=(18,10))\n","\n","sns.boxplot(x='tempo', y='g-0' , data=dados)"],"execution_count":105,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.axes._subplots.AxesSubplot at 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\n","text/plain":["<Figure size 1296x720 with 1 Axes>"]},"metadata":{"tags":[]}}]},{"cell_type":"markdown","metadata":{"id":"DZr_0yeTx_g7"},"source":["###Desafio 07: Resumo do que você descobriu com os dados"]},{"cell_type":"markdown","metadata":{"id":"DWQcvX6l5A_W"},"source":["Na aula de hoje podemos aprender um pouco mais sobre distibuição dos dados através das visualizações de Boxplot e Histograma."]},{"cell_type":"code","metadata":{"id":"QIFl3CfTatEV"},"source":[""],"execution_count":null,"outputs":[]}]}