tetrvis-stats.ipynb

{
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       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col7 {\n",
       "            width:  10em;\n",
       "             height:  80%;\n",
       "            background:  linear-gradient(90deg,#fec44f 20.7%, transparent 20.7%);\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col8 {\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col9 {\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col10 {\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col11 {\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col12 {\n",
       "            border-left:  1px solid gray;\n",
       "        }    #T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col13 {\n",
       "            border-left:  1px solid gray;\n",
       "        }</style><table id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001\" ><thead>    <tr>        <th class=\"blank level0\" ></th>        <th class=\"col_heading level0 col0\" >time</th>        <th class=\"col_heading level0 col1\" >user</th>        <th class=\"col_heading level0 col2\" >game_type</th>        <th class=\"col_heading level0 col3\" >replay</th>        <th class=\"col_heading level0 col4\" >lines</th>        <th class=\"col_heading level0 col5\" >finesse</th>        <th class=\"col_heading level0 col6\" >kps</th>        <th class=\"col_heading level0 col7\" >kpp</th>        <th class=\"col_heading level0 col8\" >score</th>        <th class=\"col_heading level0 col9\" >level</th>        <th class=\"col_heading level0 col10\" >finesse_faults</th>        <th class=\"col_heading level0 col11\" >finesse_perfect_pieces</th>        <th class=\"col_heading level0 col12\" >keys</th>        <th class=\"col_heading level0 col13\" >pieces</th>    </tr></thead><tbody>\n",
       "                <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row0\" class=\"row_heading level0 row0\" >10</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col0\" class=\"data row0 col0\" >2021-07-17T22:15:45.382Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col1\" class=\"data row0 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col2\" class=\"data row0 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col3\" class=\"data row0 col3\" ><a href=\"https://tetr.io/#R:P_XbhdJmh\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col4\" class=\"data row0 col4\" >28</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col5\" class=\"data row0 col5\" >0.560000</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col6\" class=\"data row0 col6\" >0.002292</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col7\" class=\"data row0 col7\" >3.666667</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col8\" class=\"data row0 col8\" >14942</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col9\" class=\"data row0 col9\" >5</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col10\" class=\"data row0 col10\" >68</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col11\" class=\"data row0 col11\" >42</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col12\" class=\"data row0 col12\" >275</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row0_col13\" class=\"data row0 col13\" >75</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row1\" class=\"row_heading level0 row1\" >9</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col0\" class=\"data row1 col0\" >2021-07-17T22:25:58.523Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col1\" class=\"data row1 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col2\" class=\"data row1 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col3\" class=\"data row1 col3\" ><a href=\"https://tetr.io/#R:EhylNyjJH\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col4\" class=\"data row1 col4\" >30</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col5\" class=\"data row1 col5\" >0.584416</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col6\" class=\"data row1 col6\" >0.002458</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col7\" class=\"data row1 col7\" >3.831169</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col8\" class=\"data row1 col8\" >18426</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col9\" class=\"data row1 col9\" >5</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col10\" class=\"data row1 col10\" >76</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col11\" class=\"data row1 col11\" >45</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col12\" class=\"data row1 col12\" >295</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row1_col13\" class=\"data row1 col13\" >77</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row2\" class=\"row_heading level0 row2\" >7</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col0\" class=\"data row2 col0\" >2021-07-17T22:29:11.414Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col1\" class=\"data row2 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col2\" class=\"data row2 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col3\" class=\"data row2 col3\" ><a href=\"https://tetr.io/#R:DaEAzxtnV\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col4\" class=\"data row2 col4\" >35</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col5\" class=\"data row2 col5\" >0.744444</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col6\" class=\"data row2 col6\" >0.002475</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col7\" class=\"data row2 col7\" >3.300000</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col8\" class=\"data row2 col8\" >22588</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col9\" class=\"data row2 col9\" >6</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col10\" class=\"data row2 col10\" >43</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col11\" class=\"data row2 col11\" >67</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col12\" class=\"data row2 col12\" >297</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row2_col13\" class=\"data row2 col13\" >90</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row3\" class=\"row_heading level0 row3\" >5</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col0\" class=\"data row3 col0\" >2021-07-18T00:34:48.331Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col1\" class=\"data row3 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col2\" class=\"data row3 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col3\" class=\"data row3 col3\" ><a href=\"https://tetr.io/#R:EdLPFoQ9K\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col4\" class=\"data row3 col4\" >35</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col5\" class=\"data row3 col5\" >0.806452</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col6\" class=\"data row3 col6\" >0.002383</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col7\" class=\"data row3 col7\" >3.075269</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col8\" class=\"data row3 col8\" >21070</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col9\" class=\"data row3 col9\" >6</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col10\" class=\"data row3 col10\" >31</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col11\" class=\"data row3 col11\" >75</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col12\" class=\"data row3 col12\" >286</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row3_col13\" class=\"data row3 col13\" >93</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row4\" class=\"row_heading level0 row4\" >0</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col0\" class=\"data row4 col0\" >2021-07-18T04:00:04.888Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col1\" class=\"data row4 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col2\" class=\"data row4 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col3\" class=\"data row4 col3\" ><a href=\"https://tetr.io/#R:4NoKNJXGV\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col4\" class=\"data row4 col4\" >18</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col5\" class=\"data row4 col5\" >0.785714</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col6\" class=\"data row4 col6\" >0.001458</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col7\" class=\"data row4 col7\" >3.125000</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col8\" class=\"data row4 col8\" >9384</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col9\" class=\"data row4 col9\" >4</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col10\" class=\"data row4 col10\" >19</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col11\" class=\"data row4 col11\" >44</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col12\" class=\"data row4 col12\" >175</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row4_col13\" class=\"data row4 col13\" >56</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row5\" class=\"row_heading level0 row5\" >4</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col0\" class=\"data row5 col0\" >2021-07-18T04:03:27.790Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col1\" class=\"data row5 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col2\" class=\"data row5 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col3\" class=\"data row5 col3\" ><a href=\"https://tetr.io/#R:2RwoPMGJ2\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col4\" class=\"data row5 col4\" >24</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col5\" class=\"data row5 col5\" >0.822581</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col6\" class=\"data row5 col6\" >0.001517</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col7\" class=\"data row5 col7\" >2.935484</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col8\" class=\"data row5 col8\" >11180</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col9\" class=\"data row5 col9\" >5</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col10\" class=\"data row5 col10\" >23</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col11\" class=\"data row5 col11\" >51</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col12\" class=\"data row5 col12\" >182</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row5_col13\" class=\"data row5 col13\" >62</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row6\" class=\"row_heading level0 row6\" >3</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col0\" class=\"data row6 col0\" >2021-07-18T04:16:10.470Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col1\" class=\"data row6 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col2\" class=\"data row6 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col3\" class=\"data row6 col3\" ><a href=\"https://tetr.io/#R:Ri_zdu0RG\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col4\" class=\"data row6 col4\" >26</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col5\" class=\"data row6 col5\" >0.671642</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col6\" class=\"data row6 col6\" >0.001775</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col7\" class=\"data row6 col7\" >3.179104</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col8\" class=\"data row6 col8\" >13390</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col9\" class=\"data row6 col9\" >5</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col10\" class=\"data row6 col10\" >44</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col11\" class=\"data row6 col11\" >45</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col12\" class=\"data row6 col12\" >213</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row6_col13\" class=\"data row6 col13\" >67</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001level0_row7\" class=\"row_heading level0 row7\" >6</th>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col0\" class=\"data row7 col0\" >2021-07-18T06:07:38.975Z</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col1\" class=\"data row7 col1\" >miaowl</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col2\" class=\"data row7 col2\" >blitz</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col3\" class=\"data row7 col3\" ><a href=\"https://tetr.io/#R:G-Nxtj5mJ\">replay</a></td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col4\" class=\"data row7 col4\" >20</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col5\" class=\"data row7 col5\" >0.844828</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col6\" class=\"data row7 col6\" >0.001508</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col7\" class=\"data row7 col7\" >3.120690</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col8\" class=\"data row7 col8\" >9872</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col9\" class=\"data row7 col9\" >4</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col10\" class=\"data row7 col10\" >16</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col11\" class=\"data row7 col11\" >49</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col12\" class=\"data row7 col12\" >181</td>\n",
       "                        <td id=\"T_2621a3f6_e78f_11eb_93f4_3af9d3a53001row7_col13\" class=\"data row7 col13\" >58</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x7f7fda018590>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob\n",
    "import json\n",
    "import pandas as pd\n",
    "\n",
    "input_files = glob.glob('data/*')\n",
    "data_list = []\n",
    "for file_path in input_files:\n",
    "    with open(file_path, 'r') as file:\n",
    "        log = json.load(file)\n",
    "        stats = log['endcontext']\n",
    "        data_list.append({\n",
    "            'time': log['ts'],\n",
    "            'user': log['user']['username'],\n",
    "            'game_type': log['gametype'],\n",
    "            'replay': '<a href=\"https://tetr.io/#R:{0}\">replay</a>'.format(log['shortid']),\n",
    "            'lines': stats['lines'],\n",
    "            'finesse': stats['finesse']['perfectpieces'] / stats['piecesplaced'],\n",
    "            'kps': stats['inputs'] / stats['finalTime'],\n",
    "            'kpp': stats['inputs'] / stats['piecesplaced'],\n",
    "            'score': stats['score'],\n",
    "            'level': stats['level'],\n",
    "            'finesse_faults': stats['finesse']['faults'],\n",
    "            'finesse_perfect_pieces': stats['finesse']['perfectpieces'],\n",
    "            'keys': stats['inputs'],\n",
    "            'pieces': stats['piecesplaced'],\n",
    "            \n",
    "        })\n",
    "data_original = pd.DataFrame.from_records(data_list)\\\n",
    "    .sort_values(by=['time'])\\\n",
    "    .query('user == \"miaowl\"')\n",
    "#     .sort_values(by=['lines'], ascending=False)\n",
    "    \n",
    "data_original.style\\\n",
    "    .bar(subset=['lines'], color='#99d8c9')\\\n",
    "    .bar(subset=['finesse', 'kps'], color='#a6bddb')\\\n",
    "    .bar(subset=['kpp'], color='#fec44f')\\\n",
    "    .set_properties(**{'border-left': '1px solid gray'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data = data_original.query('user == \"miaowl\"')\n",
    "g = sns.lineplot(\n",
    "    data=data,\n",
    "    x=\"time\", y=\"finesse\"\n",
    ")\n",
    "plt.title('Finesss (Target = 90%)')\n",
    "plt.axhline(y=.9, color='g', linestyle='--')\n",
    "plt.show()\n",
    "\n",
    "data = data_original.query('user == \"miaowl\"')\n",
    "g = sns.lineplot(\n",
    "    data=data,\n",
    "    x=\"time\", y=\"lines\"\n",
    ")\n",
    "plt.title('Lines (Target = 45)')\n",
    "plt.axhline(y=156*.3, color='g', linestyle='--')\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}