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Analysis on patient mortality data using lab diagnosis, medicine administration and ailment diagnosis.
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first_assignment.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" patient_id event_id \\\n",
"0 12 DIAG440649 \n",
"1 12 DIAG201070 \n",
"2 12 DIAG321462 \n",
"3 12 DIAG321042 \n",
"4 12 DIAG435141 \n",
"5 12 DIAG320128 \n",
"6 12 DIAG195581 \n",
"7 12 DIAG198464 \n",
"8 12 DIAG443862 \n",
"9 19 DIAG433329 \n",
"10 19 DIAG81902 \n",
"11 19 DIAG74082 \n",
"12 19 DIAG436539 \n",
"13 19 DIAG80502 \n",
"14 19 DIAG373995 \n",
"15 19 DIAG374009 \n",
"16 19 DIAG320128 \n",
"17 19 DIAG321873 \n",
"18 41 DIAG441806 \n",
"19 41 DIAG261881 \n",
"20 41 DIAG257010 \n",
"21 41 DIAG259852 \n",
"22 41 DIAG40480033 \n",
"23 41 DIAG252663 \n",
"24 41 DIAG200485 \n",
"25 41 DIAG260041 \n",
"26 41 DIAG255573 \n",
"27 41 DIAG260430 \n",
"28 41 DIAG192450 \n",
"29 41 DIAG40479583 \n",
"... ... ... \n",
"740036 24860 DRUG791967 \n",
"740037 23961 DRUG961047 \n",
"740038 23983 DRUG19093848 \n",
"740039 24226 DRUG19125200 \n",
"740040 24226 DRUG19095164 \n",
"740041 24459 DRUG19027362 \n",
"740042 24459 DRUG19095164 \n",
"740043 24498 DRUG19095164 \n",
"740044 24498 DRUG997881 \n",
"740045 25073 DRUG19122121 \n",
"740046 25073 DRUG19122121 \n",
"740047 23952 DRUG19095164 \n",
"740048 23952 DRUG708298 \n",
"740049 23952 DRUG19049105 \n",
"740050 23952 DRUG1346823 \n",
"740051 24226 DRUG1518254 \n",
"740052 24268 DRUG19126899 \n",
"740053 24268 DRUG1307046 \n",
"740054 24459 DRUG997881 \n",
"740055 24459 DRUG939871 \n",
"740056 24459 DRUG19095164 \n",
"740057 24459 DRUG43012825 \n",
"740058 25073 DRUG1307046 \n",
"740059 25073 DRUG1310149 \n",
"740060 23952 DRUG1310149 \n",
"740061 23983 DRUG19132976 \n",
"740062 24268 DRUG1559684 \n",
"740063 24459 DRUG19049105 \n",
"740064 24579 DRUG19049105 \n",
"740065 25073 DRUG766529 \n",
"\n",
" event_description timestamp value \n",
"0 Primary malignant neoplasm of head of pancreas 2011-12-06 1.0 \n",
"1 Cholelithiasis AND cholecystitis without obstr... 2011-12-06 1.0 \n",
"2 Cardiac complication 2011-12-06 1.0 \n",
"3 Cardiac arrest 2011-12-06 1.0 \n",
"4 Hemorrhage AND/OR hematoma complicating procedure 2011-12-06 1.0 \n",
"5 Essential hypertension 2011-12-06 1.0 \n",
"6 Peritoneal adhesion 2011-12-06 1.0 \n",
"7 Incisional hernia 2011-12-06 1.0 \n",
"8 Complication of internal anastomosis 2011-12-06 1.0 \n",
"9 Closed fracture of second cervical vertebra 2013-02-19 1.0 \n",
"10 Urinary tract infectious disease 2013-02-19 1.0 \n",
"11 Acontractile detrusor 2013-02-19 1.0 \n",
"12 Closed fracture of patella 2013-02-19 1.0 \n",
"13 Osteoporosis 2013-02-19 1.0 \n",
"14 Delirium 2013-02-19 1.0 \n",
"15 Organic mental disorder 2013-02-19 1.0 \n",
"16 Essential hypertension 2013-02-19 1.0 \n",
"17 Carotid artery dissection 2013-02-19 1.0 \n",
"18 Primary malignant neoplasm of brain stem 2013-05-18 1.0 \n",
"19 Trauma and postoperative pulmonary insufficiency 2013-05-18 1.0 \n",
"20 Abscess of lung 2013-05-18 1.0 \n",
"21 Staphylococcal pneumonia 2013-05-18 1.0 \n",
"22 Pneumonia due to Staphylococcus aureus 2013-05-18 1.0 \n",
"23 Pneumonitis due to inhalation of food or vomitus 2013-05-18 1.0 \n",
"24 Pressure ulcer of buttock 2013-05-18 1.0 \n",
"25 Candidiasis of lung 2013-05-18 1.0 \n",
"26 Chronic obstructive lung disease 2013-05-18 1.0 \n",
"27 Pneumonia due to Escherichia coli 2013-05-18 1.0 \n",
"28 Retention of urine 2013-05-18 1.0 \n",
"29 Iatrogenic pneumothorax 2013-05-18 1.0 \n",
"... ... ... ... \n",
"740036 Lorazepam 2010-11-27 1.0 \n",
"740037 Ranitidine 2007-10-13 1.0 \n",
"740038 Magnesium Sulfate 2010-09-02 1.0 \n",
"740039 Vancomycin Hydrochloride 2012-08-04 1.0 \n",
"740040 Cholecalciferol 2012-08-04 1.0 \n",
"740041 potassium phosphate 2015-01-26 1.0 \n",
"740042 Cholecalciferol 2015-01-26 1.0 \n",
"740043 Cholecalciferol 2009-09-10 1.0 \n",
"740044 Clindamycin 2009-09-10 1.0 \n",
"740045 Insulin 2015-05-16 1.0 \n",
"740046 Insulin 2015-04-28 1.0 \n",
"740047 Cholecalciferol 2009-11-20 1.0 \n",
"740048 Midazolam 2009-11-20 1.0 \n",
"740049 Potassium Chloride 2009-11-17 1.0 \n",
"740050 carvedilol 2009-12-05 1.0 \n",
"740051 Dexamethasone 2012-07-21 1.0 \n",
"740052 Phenytoin sodium 2010-04-21 1.0 \n",
"740053 Metoprolol 2010-04-21 1.0 \n",
"740054 Clindamycin 2015-01-05 1.0 \n",
"740055 sodium phosphate 2015-01-27 1.0 \n",
"740056 Cholecalciferol 2015-01-05 1.0 \n",
"740057 Nerve Growth Factor 2015-01-27 1.0 \n",
"740058 Metoprolol 2015-05-19 1.0 \n",
"740059 Warfarin 2015-04-21 1.0 \n",
"740060 Warfarin 2009-12-05 1.0 \n",
"740061 Trazodone Hydrochloride 2010-08-31 1.0 \n",
"740062 Glyburide 2010-04-17 1.0 \n",
"740063 Potassium Chloride 2015-01-27 1.0 \n",
"740064 Potassium Chloride 2015-07-30 1.0 \n",
"740065 Haloperidol 2015-05-04 1.0 \n",
"\n",
"[740066 rows x 5 columns]\n",
" patient_id timestamp label\n",
"0 19 2014-03-04 1\n",
"1 12 2011-12-19 1\n",
"2 41 2014-02-15 1\n",
"3 106 2015-08-11 1\n",
"4 112 2011-04-23 1\n",
"5 149 2012-02-18 1\n",
"6 157 2013-03-28 1\n",
"7 177 2010-04-29 1\n",
"8 181 2015-06-03 1\n",
"9 224 2014-10-04 1\n",
"10 279 2012-12-15 1\n",
"11 281 2012-09-08 1\n",
"12 284 2012-11-01 1\n",
"13 294 2014-03-03 1\n",
"14 308 2015-02-03 1\n",
"15 329 2011-09-11 1\n",
"16 407 2013-05-14 1\n",
"17 453 2013-12-25 1\n",
"18 471 2014-06-05 1\n",
"19 472 2015-01-18 1\n",
"20 499 2014-05-16 1\n",
"21 559 2014-10-07 1\n",
"22 618 2014-05-10 1\n",
"23 634 2014-03-25 1\n",
"24 679 2012-02-07 1\n",
"25 704 2015-10-05 1\n",
"26 726 2011-07-03 1\n",
"27 801 2012-04-01 1\n",
"28 871 2014-03-02 1\n",
"29 894 2012-06-16 1\n",
".. ... ... ...\n",
"470 18289 2015-07-07 1\n",
"471 18288 2010-12-05 1\n",
"472 18485 2010-12-21 1\n",
"473 18516 2015-06-12 1\n",
"474 18539 2013-09-23 1\n",
"475 18568 2013-10-11 1\n",
"476 18588 2011-04-22 1\n",
"477 18600 2013-04-03 1\n",
"478 18615 2010-03-12 1\n",
"479 18717 2012-12-23 1\n",
"480 18747 2015-10-04 1\n",
"481 18779 2013-09-13 1\n",
"482 18839 2010-11-06 1\n",
"483 18877 2011-04-18 1\n",
"484 18895 2010-07-31 1\n",
"485 18952 2015-11-27 1\n",
"486 19082 2014-09-11 1\n",
"487 19088 2012-03-18 1\n",
"488 19157 2015-05-26 1\n",
"489 19184 2011-06-10 1\n",
"490 19233 2013-03-27 1\n",
"491 19270 2010-07-30 1\n",
"492 19328 2015-10-09 1\n",
"493 19336 2012-09-01 1\n",
"494 19358 2014-12-11 1\n",
"495 19380 2013-05-28 1\n",
"496 19416 2012-04-27 1\n",
"497 19424 2014-08-27 1\n",
"498 19466 2011-03-19 1\n",
"499 19536 2013-01-09 1\n",
"\n",
"[500 rows x 3 columns]\n"
]
}
],
"source": [
"import time\n",
"import pandas as pd\n",
"import numpy as np\n",
"\n",
"def read_csv(filepath):\n",
" '''\n",
" TODO : This function needs to be completed.\n",
" Read the events.csv and mortality_events.csv files. \n",
" Variables returned from this function are passed as input to the metric functions.\n",
" '''\n",
" events = pd.read_csv(filepath + 'events.csv')\n",
" mortality = pd.read_csv(filepath + 'mortality_events.csv')\n",
" return events, mortality\n",
"\n",
"train_path = '../data/train/'\n",
"events, mortality = read_csv(train_path)\n",
"print(events)\n",
"print(mortality)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"982.014\n",
"8635\n",
"1\n",
"498.118\n",
"12627\n",
"1\n"
]
}
],
"source": [
"patient_events = events.groupby('patient_id').size().reset_index(name='event_count')\n",
"dead_patient_events = patient_events.loc[\n",
" patient_events.patient_id.isin(mortality.patient_id)\n",
"]\n",
"alive_patient_events = patient_events.loc[\n",
" ~patient_events.patient_id.isin(mortality.patient_id)\n",
"]\n",
"\n",
"print(dead_patient_events.event_count.mean())\n",
"print(dead_patient_events.event_count.max())\n",
"print(dead_patient_events.event_count.min())\n",
"print(alive_patient_events.event_count.mean())\n",
"print(alive_patient_events.event_count.max())\n",
"print(alive_patient_events.event_count.min())"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"23.038\n",
"203\n",
"1\n",
"15.452\n",
"391\n",
"1\n"
]
}
],
"source": [
"patient_encounter_events = events.groupby(\n",
" ['patient_id', 'timestamp']\n",
").size().groupby('patient_id').size().reset_index(name='encounter_event_count')\n",
"dead_patient_encounter_events = patient_encounter_events.loc[\n",
" patient_events.patient_id.isin(mortality.patient_id)\n",
"]\n",
"alive_patient_encounter_events = patient_encounter_events.loc[\n",
" ~patient_events.patient_id.isin(mortality.patient_id)\n",
"]\n",
"\n",
"print(dead_patient_encounter_events.encounter_event_count.mean())\n",
"print(dead_patient_encounter_events.encounter_event_count.max())\n",
"print(dead_patient_encounter_events.encounter_event_count.min())\n",
"print(alive_patient_encounter_events.encounter_event_count.mean())\n",
"print(alive_patient_encounter_events.encounter_event_count.max())\n",
"print(alive_patient_encounter_events.encounter_event_count.min())"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
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"\n",
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" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>patient_id</th>\n",
" <th>record_length</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>12</td>\n",
" <td>15</td>\n",
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" <tr>\n",
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" <td>19</td>\n",
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" <td>41</td>\n",
" <td>43</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>106</td>\n",
" <td>6</td>\n",
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" <tr>\n",
" <th>6</th>\n",
" <td>112</td>\n",
" <td>839</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>149</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>157</td>\n",
" <td>38</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>177</td>\n",
" <td>389</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>181</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>224</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>279</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>281</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>284</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>294</td>\n",
" <td>346</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>308</td>\n",
" <td>75</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>329</td>\n",
" <td>389</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>407</td>\n",
" <td>6</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>453</td>\n",
" <td>19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>471</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>472</td>\n",
" <td>8</td>\n",
" </tr>\n",
" <tr>\n",
" <th>32</th>\n",
" <td>499</td>\n",
" <td>26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>35</th>\n",
" <td>559</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>618</td>\n",
" <td>411</td>\n",
" </tr>\n",
" <tr>\n",
" <th>37</th>\n",
" <td>634</td>\n",
" <td>699</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>679</td>\n",
" <td>1246</td>\n",
" </tr>\n",
" <tr>\n",
" <th>42</th>\n",
" <td>704</td>\n",
" <td>65</td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>726</td>\n",
" <td>14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>46</th>\n",
" <td>801</td>\n",
" <td>392</td>\n",
" </tr>\n",
" <tr>\n",
" <th>50</th>\n",
" <td>871</td>\n",
" <td>34</td>\n",
" </tr>\n",
" <tr>\n",
" <th>51</th>\n",
" <td>894</td>\n",
" <td>35</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>970</th>\n",
" <td>19184</td>\n",
" <td>1972</td>\n",
" </tr>\n",
" <tr>\n",
" <th>971</th>\n",
" <td>19233</td>\n",
" <td>23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>972</th>\n",
" <td>19270</td>\n",
" <td>720</td>\n",
" </tr>\n",
" <tr>\n",
" <th>973</th>\n",
" <td>19328</td>\n",
" <td>298</td>\n",
" </tr>\n",
" <tr>\n",
" <th>974</th>\n",
" <td>19336</td>\n",
" <td>902</td>\n",
" </tr>\n",
" <tr>\n",
" <th>975</th>\n",
" <td>19358</td>\n",
" <td>333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>976</th>\n",
" <td>19380</td>\n",
" <td>18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>977</th>\n",
" <td>19416</td>\n",
" <td>26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>978</th>\n",
" <td>19424</td>\n",
" <td>82</td>\n",
" </tr>\n",
" <tr>\n",
" <th>979</th>\n",
" <td>19466</td>\n",
" <td>3</td>\n",
" </tr>\n",
" <tr>\n",
" <th>980</th>\n",
" <td>19536</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>981</th>\n",
" <td>23952</td>\n",
" <td>22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>982</th>\n",
" <td>23961</td>\n",
" <td>25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>983</th>\n",
" <td>23983</td>\n",
" <td>10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>984</th>\n",
" <td>23987</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>985</th>\n",
" <td>24003</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>986</th>\n",
" <td>24045</td>\n",
" <td>4</td>\n",
" </tr>\n",
" <tr>\n",
" <th>987</th>\n",
" <td>24137</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>988</th>\n",
" <td>24226</td>\n",
" <td>435</td>\n",
" </tr>\n",
" <tr>\n",
" <th>989</th>\n",
" <td>24268</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>990</th>\n",
" <td>24272</td>\n",
" <td>2</td>\n",
" </tr>\n",
" <tr>\n",
" <th>991</th>\n",
" <td>24432</td>\n",
" <td>41</td>\n",
" </tr>\n",
" <tr>\n",
" <th>992</th>\n",
" <td>24459</td>\n",
" <td>165</td>\n",
" </tr>\n",
" <tr>\n",
" <th>993</th>\n",
" <td>24498</td>\n",
" <td>806</td>\n",
" </tr>\n",
" <tr>\n",
" <th>994</th>\n",
" <td>24579</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>995</th>\n",
" <td>24581</td>\n",
" <td>633</td>\n",
" </tr>\n",
" <tr>\n",
" <th>996</th>\n",
" <td>24653</td>\n",
" <td>46</td>\n",
" </tr>\n",
" <tr>\n",
" <th>997</th>\n",
" <td>24860</td>\n",
" <td>29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>998</th>\n",
" <td>25073</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>999</th>\n",
" <td>25075</td>\n",
" <td>113</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>500 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id record_length\n",
"0 12 15\n",
"1 19 4\n",
"2 41 43\n",
"5 106 6\n",
"6 112 839\n",
"7 149 8\n",
"8 157 38\n",
"9 177 389\n",
"10 181 0\n",
"13 224 1\n",
"14 279 8\n",
"15 281 8\n",
"16 284 4\n",
"17 294 346\n",
"19 308 75\n",
"20 329 389\n",
"24 407 6\n",
"27 453 19\n",
"30 471 8\n",
"31 472 8\n",
"32 499 26\n",
"35 559 3\n",
"36 618 411\n",
"37 634 699\n",
"40 679 1246\n",
"42 704 65\n",
"43 726 14\n",
"46 801 392\n",
"50 871 34\n",
"51 894 35\n",
".. ... ...\n",
"970 19184 1972\n",
"971 19233 23\n",
"972 19270 720\n",
"973 19328 298\n",
"974 19336 902\n",
"975 19358 333\n",
"976 19380 18\n",
"977 19416 26\n",
"978 19424 82\n",
"979 19466 3\n",
"980 19536 4\n",
"981 23952 22\n",
"982 23961 25\n",
"983 23983 10\n",
"984 23987 0\n",
"985 24003 1\n",
"986 24045 4\n",
"987 24137 0\n",
"988 24226 435\n",
"989 24268 21\n",
"990 24272 2\n",
"991 24432 41\n",
"992 24459 165\n",
"993 24498 806\n",
"994 24579 9\n",
"995 24581 633\n",
"996 24653 46\n",
"997 24860 29\n",
"998 25073 40\n",
"999 25075 113\n",
"\n",
"[500 rows x 2 columns]"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"events['timestamp'] = pd.to_datetime(events['timestamp'])\n",
"events = events.sort_values(\n",
" ['patient_id', 'timestamp'], ascending=[True, True]\n",
")\n",
"\n",
"def record_length(patient_series):\n",
" return (patient_series.max() - patient_series.min()).days\n",
"patient_record_lengths = events.groupby('patient_id')['timestamp'].agg([record_length]).reset_index(level=0)\n",
"dead_patient_record_lengths = patient_record_lengths.loc[\n",
" patient_record_lengths.patient_id.isin(mortality.patient_id)\n",
"]\n",
"alive_patient_record_lengths = patient_record_lengths.loc[\n",
" ~patient_record_lengths.patient_id.isin(mortality.patient_id)\n",
"]\n",
"dead_patient_record_lengths"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" <td>2011-11-19</td>\n",
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" <td>112</td>\n",
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" <td>224</td>\n",
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" <td>308</td>\n",
" <td>2015-01-04</td>\n",
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" <td>329</td>\n",
" <td>2011-08-12</td>\n",
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" <th>22</th>\n",
" <td>618</td>\n",
" <td>2014-04-10</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>634</td>\n",
" <td>2014-02-23</td>\n",
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" <tr>\n",
" <th>24</th>\n",
" <td>679</td>\n",
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" <td>18839</td>\n",
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" <td>19184</td>\n",
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" <th>490</th>\n",
" <td>19233</td>\n",
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" <td>19336</td>\n",
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" <th>494</th>\n",
" <td>19358</td>\n",
" <td>2014-11-11</td>\n",
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" <th>495</th>\n",
" <td>19380</td>\n",
" <td>2013-04-28</td>\n",
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"</table>\n",
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"</div>"
],
"text/plain": [
" patient_id indx_date\n",
"0 19 2014-02-02\n",
"1 12 2011-11-19\n",
"2 41 2014-01-16\n",
"3 106 2015-07-12\n",
"4 112 2011-03-24\n",
"5 149 2012-01-19\n",
"6 157 2013-02-26\n",
"7 177 2010-03-30\n",
"8 181 2015-05-04\n",
"9 224 2014-09-04\n",
"10 279 2012-11-15\n",
"11 281 2012-08-09\n",
"12 284 2012-10-02\n",
"13 294 2014-02-01\n",
"14 308 2015-01-04\n",
"15 329 2011-08-12\n",
"16 407 2013-04-14\n",
"17 453 2013-11-25\n",
"18 471 2014-05-06\n",
"19 472 2014-12-19\n",
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"21 559 2014-09-07\n",
"22 618 2014-04-10\n",
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"26 726 2011-06-03\n",
"27 801 2012-03-02\n",
"28 871 2014-01-31\n",
"29 894 2012-05-17\n",
".. ... ...\n",
"470 18289 2015-06-07\n",
"471 18288 2010-11-05\n",
"472 18485 2010-11-21\n",
"473 18516 2015-05-13\n",
"474 18539 2013-08-24\n",
"475 18568 2013-09-11\n",
"476 18588 2011-03-23\n",
"477 18600 2013-03-04\n",
"478 18615 2010-02-10\n",
"479 18717 2012-11-23\n",
"480 18747 2015-09-04\n",
"481 18779 2013-08-14\n",
"482 18839 2010-10-07\n",
"483 18877 2011-03-19\n",
"484 18895 2010-07-01\n",
"485 18952 2015-10-28\n",
"486 19082 2014-08-12\n",
"487 19088 2012-02-17\n",
"488 19157 2015-04-26\n",
"489 19184 2011-05-11\n",
"490 19233 2013-02-25\n",
"491 19270 2010-06-30\n",
"492 19328 2015-09-09\n",
"493 19336 2012-08-02\n",
"494 19358 2014-11-11\n",
"495 19380 2013-04-28\n",
"496 19416 2012-03-28\n",
"497 19424 2014-07-28\n",
"498 19466 2011-02-17\n",
"499 19536 2012-12-10\n",
"\n",
"[500 rows x 2 columns]"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from datetime import datetime, timedelta\n",
"\n",
"is_dead_boolean_series = events.patient_id.isin(mortality.patient_id)\n",
"\n",
"dead_patients_df = mortality.copy()\n",
"dead_patients_index_date_series = dead_patients_df.timestamp.map(\n",
" lambda mortality_date: datetime.strftime(\n",
" datetime.strptime(mortality_date, \"%Y-%m-%d\") - timedelta(days=30),\n",
" \"%Y-%m-%d\"\n",
" )\n",
")\n",
"\n",
"dead_patients_df = dead_patients_df.drop(['timestamp', 'label'], axis=1)\n",
"dead_patients_df['indx_date'] = dead_patients_index_date_series\n",
"\n",
"dead_patients_df"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"patient_id int64\n",
"indx_date object\n",
"dtype: object\n"
]
},
{
"data": {
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" <td>635</td>\n",
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" <td>869</td>\n",
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" <tr>\n",
" <th>22</th>\n",
" <td>928</td>\n",
" <td>2012-08-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>1017</td>\n",
" <td>2013-04-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>1065</td>\n",
" <td>2014-12-21</td>\n",
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" <th>25</th>\n",
" <td>1069</td>\n",
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" <td>1132</td>\n",
" <td>2014-12-02</td>\n",
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" <th>28</th>\n",
" <td>1219</td>\n",
" <td>2011-11-05</td>\n",
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" <td>17378</td>\n",
" <td>2012-08-18</td>\n",
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" <tr>\n",
" <th>473</th>\n",
" <td>17403</td>\n",
" <td>2012-01-26</td>\n",
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" <tr>\n",
" <th>474</th>\n",
" <td>17412</td>\n",
" <td>2012-03-30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>475</th>\n",
" <td>17429</td>\n",
" <td>2014-10-27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>476</th>\n",
" <td>17445</td>\n",
" <td>2013-04-24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>477</th>\n",
" <td>17541</td>\n",
" <td>2010-12-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>478</th>\n",
" <td>17569</td>\n",
" <td>2015-06-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>479</th>\n",
" <td>17572</td>\n",
" <td>2011-12-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>480</th>\n",
" <td>17631</td>\n",
" <td>2010-06-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>481</th>\n",
" <td>17632</td>\n",
" <td>2013-01-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>482</th>\n",
" <td>17638</td>\n",
" <td>2010-05-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>483</th>\n",
" <td>17663</td>\n",
" <td>2012-02-15</td>\n",
" </tr>\n",
" <tr>\n",
" <th>484</th>\n",
" <td>17934</td>\n",
" <td>2014-10-01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>485</th>\n",
" <td>17978</td>\n",
" <td>2013-08-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>486</th>\n",
" <td>17986</td>\n",
" <td>2011-10-30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>487</th>\n",
" <td>17994</td>\n",
" <td>2010-09-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>488</th>\n",
" <td>18016</td>\n",
" <td>2015-03-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>489</th>\n",
" <td>18051</td>\n",
" <td>2010-11-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>490</th>\n",
" <td>18096</td>\n",
" <td>2011-01-17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>18099</td>\n",
" <td>2011-09-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>492</th>\n",
" <td>18118</td>\n",
" <td>2010-05-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>493</th>\n",
" <td>18147</td>\n",
" <td>2013-08-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>494</th>\n",
" <td>18201</td>\n",
" <td>2012-11-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>495</th>\n",
" <td>18326</td>\n",
" <td>2010-11-22</td>\n",
" </tr>\n",
" <tr>\n",
" <th>496</th>\n",
" <td>18367</td>\n",
" <td>2013-08-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>497</th>\n",
" <td>18452</td>\n",
" <td>2014-06-20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>498</th>\n",
" <td>18455</td>\n",
" <td>2012-10-24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <td>18480</td>\n",
" <td>2012-12-22</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>500 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id indx_date\n",
"0 80 2015-01-27\n",
"1 99 2013-10-13\n",
"2 197 2013-11-16\n",
"3 198 2010-04-18\n",
"4 306 2010-09-12\n",
"5 388 2012-06-25\n",
"6 397 2013-11-25\n",
"7 402 2012-10-23\n",
"8 421 2012-08-04\n",
"9 424 2013-07-04\n",
"10 462 2013-08-28\n",
"11 465 2012-05-17\n",
"12 512 2015-01-08\n",
"13 528 2015-02-23\n",
"14 635 2010-09-14\n",
"15 657 2015-02-09\n",
"16 701 2012-11-19\n",
"17 734 2013-02-25\n",
"18 751 2015-12-24\n",
"19 818 2015-08-07\n",
"20 862 2010-03-27\n",
"21 869 2012-10-09\n",
"22 928 2012-08-07\n",
"23 1017 2013-04-18\n",
"24 1065 2014-12-21\n",
"25 1069 2015-07-25\n",
"26 1070 2013-03-26\n",
"27 1132 2014-12-02\n",
"28 1219 2011-11-05\n",
"29 1249 2010-05-29\n",
".. ... ...\n",
"470 17320 2012-12-30\n",
"471 17348 2012-06-23\n",
"472 17378 2012-08-18\n",
"473 17403 2012-01-26\n",
"474 17412 2012-03-30\n",
"475 17429 2014-10-27\n",
"476 17445 2013-04-24\n",
"477 17541 2010-12-23\n",
"478 17569 2015-06-26\n",
"479 17572 2011-12-13\n",
"480 17631 2010-06-20\n",
"481 17632 2013-01-05\n",
"482 17638 2010-05-13\n",
"483 17663 2012-02-15\n",
"484 17934 2014-10-01\n",
"485 17978 2013-08-12\n",
"486 17986 2011-10-30\n",
"487 17994 2010-09-28\n",
"488 18016 2015-03-02\n",
"489 18051 2010-11-20\n",
"490 18096 2011-01-17\n",
"491 18099 2011-09-10\n",
"492 18118 2010-05-26\n",
"493 18147 2013-08-09\n",
"494 18201 2012-11-20\n",
"495 18326 2010-11-22\n",
"496 18367 2013-08-04\n",
"497 18452 2014-06-20\n",
"498 18455 2012-10-24\n",
"499 18480 2012-12-22\n",
"\n",
"[500 rows x 2 columns]"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"is_dead_boolean_series = events.patient_id.isin(mortality.patient_id)\n",
"events['timestamp'] = pd.to_datetime(events['timestamp'], format='%Y-%m-%d')\n",
"alive_patient_events_df = events.loc[\n",
" ~is_dead_boolean_series\n",
"]\n",
"\n",
"alive_patients_df = alive_patient_events_df.groupby('patient_id')['timestamp'].max().reset_index(\n",
" name='indx_date'\n",
")\n",
"alive_patients_df.indx_date = alive_patients_df.indx_date.dt.strftime('%Y-%m-%d')\n",
"\n",
"print(alive_patients_df.dtypes)\n",
"alive_patients_df"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"text/html": [
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" 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>patient_id</th>\n",
" <th>indx_date</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>80</td>\n",
" <td>2015-01-27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>99</td>\n",
" <td>2013-10-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>197</td>\n",
" <td>2013-11-16</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>198</td>\n",
" <td>2010-04-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>306</td>\n",
" <td>2010-09-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>388</td>\n",
" <td>2012-06-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>397</td>\n",
" <td>2013-11-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>402</td>\n",
" <td>2012-10-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>421</td>\n",
" <td>2012-08-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>424</td>\n",
" <td>2013-07-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>462</td>\n",
" <td>2013-08-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>11</th>\n",
" <td>465</td>\n",
" <td>2012-05-17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>12</th>\n",
" <td>512</td>\n",
" <td>2015-01-08</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>528</td>\n",
" <td>2015-02-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>635</td>\n",
" <td>2010-09-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>657</td>\n",
" <td>2015-02-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>701</td>\n",
" <td>2012-11-19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>734</td>\n",
" <td>2013-02-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>751</td>\n",
" <td>2015-12-24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>818</td>\n",
" <td>2015-08-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>862</td>\n",
" <td>2010-03-27</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>869</td>\n",
" <td>2012-10-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>928</td>\n",
" <td>2012-08-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>1017</td>\n",
" <td>2013-04-18</td>\n",
" </tr>\n",
" <tr>\n",
" <th>24</th>\n",
" <td>1065</td>\n",
" <td>2014-12-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>1069</td>\n",
" <td>2015-07-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>1070</td>\n",
" <td>2013-03-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>1132</td>\n",
" <td>2014-12-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>1219</td>\n",
" <td>2011-11-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>1249</td>\n",
" <td>2010-05-29</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>470</th>\n",
" <td>18289</td>\n",
" <td>2015-06-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>471</th>\n",
" <td>18288</td>\n",
" <td>2010-11-05</td>\n",
" </tr>\n",
" <tr>\n",
" <th>472</th>\n",
" <td>18485</td>\n",
" <td>2010-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>473</th>\n",
" <td>18516</td>\n",
" <td>2015-05-13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>474</th>\n",
" <td>18539</td>\n",
" <td>2013-08-24</td>\n",
" </tr>\n",
" <tr>\n",
" <th>475</th>\n",
" <td>18568</td>\n",
" <td>2013-09-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>476</th>\n",
" <td>18588</td>\n",
" <td>2011-03-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>477</th>\n",
" <td>18600</td>\n",
" <td>2013-03-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>478</th>\n",
" <td>18615</td>\n",
" <td>2010-02-10</td>\n",
" </tr>\n",
" <tr>\n",
" <th>479</th>\n",
" <td>18717</td>\n",
" <td>2012-11-23</td>\n",
" </tr>\n",
" <tr>\n",
" <th>480</th>\n",
" <td>18747</td>\n",
" <td>2015-09-04</td>\n",
" </tr>\n",
" <tr>\n",
" <th>481</th>\n",
" <td>18779</td>\n",
" <td>2013-08-14</td>\n",
" </tr>\n",
" <tr>\n",
" <th>482</th>\n",
" <td>18839</td>\n",
" <td>2010-10-07</td>\n",
" </tr>\n",
" <tr>\n",
" <th>483</th>\n",
" <td>18877</td>\n",
" <td>2011-03-19</td>\n",
" </tr>\n",
" <tr>\n",
" <th>484</th>\n",
" <td>18895</td>\n",
" <td>2010-07-01</td>\n",
" </tr>\n",
" <tr>\n",
" <th>485</th>\n",
" <td>18952</td>\n",
" <td>2015-10-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>486</th>\n",
" <td>19082</td>\n",
" <td>2014-08-12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>487</th>\n",
" <td>19088</td>\n",
" <td>2012-02-17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>488</th>\n",
" <td>19157</td>\n",
" <td>2015-04-26</td>\n",
" </tr>\n",
" <tr>\n",
" <th>489</th>\n",
" <td>19184</td>\n",
" <td>2011-05-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>490</th>\n",
" <td>19233</td>\n",
" <td>2013-02-25</td>\n",
" </tr>\n",
" <tr>\n",
" <th>491</th>\n",
" <td>19270</td>\n",
" <td>2010-06-30</td>\n",
" </tr>\n",
" <tr>\n",
" <th>492</th>\n",
" <td>19328</td>\n",
" <td>2015-09-09</td>\n",
" </tr>\n",
" <tr>\n",
" <th>493</th>\n",
" <td>19336</td>\n",
" <td>2012-08-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>494</th>\n",
" <td>19358</td>\n",
" <td>2014-11-11</td>\n",
" </tr>\n",
" <tr>\n",
" <th>495</th>\n",
" <td>19380</td>\n",
" <td>2013-04-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>496</th>\n",
" <td>19416</td>\n",
" <td>2012-03-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>497</th>\n",
" <td>19424</td>\n",
" <td>2014-07-28</td>\n",
" </tr>\n",
" <tr>\n",
" <th>498</th>\n",
" <td>19466</td>\n",
" <td>2011-02-17</td>\n",
" </tr>\n",
" <tr>\n",
" <th>499</th>\n",
" <td>19536</td>\n",
" <td>2012-12-10</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>1000 rows × 2 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id indx_date\n",
"0 80 2015-01-27\n",
"1 99 2013-10-13\n",
"2 197 2013-11-16\n",
"3 198 2010-04-18\n",
"4 306 2010-09-12\n",
"5 388 2012-06-25\n",
"6 397 2013-11-25\n",
"7 402 2012-10-23\n",
"8 421 2012-08-04\n",
"9 424 2013-07-04\n",
"10 462 2013-08-28\n",
"11 465 2012-05-17\n",
"12 512 2015-01-08\n",
"13 528 2015-02-23\n",
"14 635 2010-09-14\n",
"15 657 2015-02-09\n",
"16 701 2012-11-19\n",
"17 734 2013-02-25\n",
"18 751 2015-12-24\n",
"19 818 2015-08-07\n",
"20 862 2010-03-27\n",
"21 869 2012-10-09\n",
"22 928 2012-08-07\n",
"23 1017 2013-04-18\n",
"24 1065 2014-12-21\n",
"25 1069 2015-07-25\n",
"26 1070 2013-03-26\n",
"27 1132 2014-12-02\n",
"28 1219 2011-11-05\n",
"29 1249 2010-05-29\n",
".. ... ...\n",
"470 18289 2015-06-07\n",
"471 18288 2010-11-05\n",
"472 18485 2010-11-21\n",
"473 18516 2015-05-13\n",
"474 18539 2013-08-24\n",
"475 18568 2013-09-11\n",
"476 18588 2011-03-23\n",
"477 18600 2013-03-04\n",
"478 18615 2010-02-10\n",
"479 18717 2012-11-23\n",
"480 18747 2015-09-04\n",
"481 18779 2013-08-14\n",
"482 18839 2010-10-07\n",
"483 18877 2011-03-19\n",
"484 18895 2010-07-01\n",
"485 18952 2015-10-28\n",
"486 19082 2014-08-12\n",
"487 19088 2012-02-17\n",
"488 19157 2015-04-26\n",
"489 19184 2011-05-11\n",
"490 19233 2013-02-25\n",
"491 19270 2010-06-30\n",
"492 19328 2015-09-09\n",
"493 19336 2012-08-02\n",
"494 19358 2014-11-11\n",
"495 19380 2013-04-28\n",
"496 19416 2012-03-28\n",
"497 19424 2014-07-28\n",
"498 19466 2011-02-17\n",
"499 19536 2012-12-10\n",
"\n",
"[1000 rows x 2 columns]"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"indx_date_df = pd.concat([alive_patients_df, dead_patients_df])\n",
"indx_date_df"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"indx_date_df.to_csv(\n",
" '../data/train/etl_index_dates.csv', \n",
" columns=['patient_id', 'indx_date'], \n",
" index=False\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" <th></th>\n",
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" <th>event_id</th>\n",
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" <tbody>\n",
" <tr>\n",
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" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>19</td>\n",
" <td>DIAG373995</td>\n",
" <td>1.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>15</th>\n",
" <td>19</td>\n",
" <td>DIAG374009</td>\n",
" <td>1.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>16</th>\n",
" <td>19</td>\n",
" <td>DIAG320128</td>\n",
" <td>1.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>17</th>\n",
" <td>19</td>\n",
" <td>DIAG321873</td>\n",
" <td>1.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218905</th>\n",
" <td>19</td>\n",
" <td>LAB3048529</td>\n",
" <td>0.04</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218906</th>\n",
" <td>19</td>\n",
" <td>LAB3033236</td>\n",
" <td>5.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218907</th>\n",
" <td>19</td>\n",
" <td>LAB3004905</td>\n",
" <td>22.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218908</th>\n",
" <td>19</td>\n",
" <td>LAB3024128</td>\n",
" <td>0.80</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218909</th>\n",
" <td>19</td>\n",
" <td>LAB3016771</td>\n",
" <td>71.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218910</th>\n",
" <td>19</td>\n",
" <td>LAB3001110</td>\n",
" <td>85.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218911</th>\n",
" <td>19</td>\n",
" <td>LAB3007220</td>\n",
" <td>371.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218912</th>\n",
" <td>19</td>\n",
" <td>LAB3013721</td>\n",
" <td>54.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218913</th>\n",
" <td>19</td>\n",
" <td>LAB3006923</td>\n",
" <td>33.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218914</th>\n",
" <td>19</td>\n",
" <td>LAB3039000</td>\n",
" <td>20.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218915</th>\n",
" <td>19</td>\n",
" <td>LAB3016293</td>\n",
" <td>22.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218916</th>\n",
" <td>19</td>\n",
" <td>LAB3018572</td>\n",
" <td>101.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218917</th>\n",
" <td>19</td>\n",
" <td>LAB3023103</td>\n",
" <td>5.40</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218918</th>\n",
" <td>19</td>\n",
" <td>LAB3019550</td>\n",
" <td>138.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218919</th>\n",
" <td>19</td>\n",
" <td>LAB3016723</td>\n",
" <td>1.50</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218920</th>\n",
" <td>19</td>\n",
" <td>LAB3013682</td>\n",
" <td>33.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218921</th>\n",
" <td>19</td>\n",
" <td>LAB3004501</td>\n",
" <td>161.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218922</th>\n",
" <td>19</td>\n",
" <td>LAB3007461</td>\n",
" <td>230.00</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218923</th>\n",
" <td>19</td>\n",
" <td>LAB3011987</td>\n",
" <td>NaN</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218924</th>\n",
" <td>19</td>\n",
" <td>LAB3025639</td>\n",
" <td>NaN</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>218925</th>\n",
" <td>19</td>\n",
" <td>LAB3005707</td>\n",
" <td>NaN</td>\n",
" <td>2014-02-02</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148429</th>\n",
" <td>25075</td>\n",
" <td>LAB3051714</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148430</th>\n",
" <td>25075</td>\n",
" <td>LAB3000401</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148431</th>\n",
" <td>25075</td>\n",
" <td>LAB3016407</td>\n",
" <td>992.00</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148432</th>\n",
" <td>25075</td>\n",
" <td>LAB3032080</td>\n",
" <td>1.10</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148433</th>\n",
" <td>25075</td>\n",
" <td>LAB3013466</td>\n",
" <td>26.10</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148434</th>\n",
" <td>25075</td>\n",
" <td>LAB3002417</td>\n",
" <td>12.80</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148435</th>\n",
" <td>25075</td>\n",
" <td>LAB3007461</td>\n",
" <td>106.00</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148436</th>\n",
" <td>25075</td>\n",
" <td>LAB3025639</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148437</th>\n",
" <td>25075</td>\n",
" <td>LAB3005707</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148438</th>\n",
" <td>25075</td>\n",
" <td>LAB3011368</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148439</th>\n",
" <td>25075</td>\n",
" <td>LAB3038691</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148440</th>\n",
" <td>25075</td>\n",
" <td>LAB3021303</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148441</th>\n",
" <td>25075</td>\n",
" <td>LAB3022096</td>\n",
" <td>0.20</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148442</th>\n",
" <td>25075</td>\n",
" <td>LAB3006504</td>\n",
" <td>0.50</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148443</th>\n",
" <td>25075</td>\n",
" <td>LAB3019069</td>\n",
" <td>2.60</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148444</th>\n",
" <td>25075</td>\n",
" <td>LAB3002030</td>\n",
" <td>23.50</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148445</th>\n",
" <td>25075</td>\n",
" <td>LAB3017354</td>\n",
" <td>73.30</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148446</th>\n",
" <td>25075</td>\n",
" <td>LAB3002385</td>\n",
" <td>16.70</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148447</th>\n",
" <td>25075</td>\n",
" <td>LAB3003338</td>\n",
" <td>32.90</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148448</th>\n",
" <td>25075</td>\n",
" <td>LAB3035941</td>\n",
" <td>27.60</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148449</th>\n",
" <td>25075</td>\n",
" <td>LAB3024731</td>\n",
" <td>84.00</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148450</th>\n",
" <td>25075</td>\n",
" <td>LAB3009542</td>\n",
" <td>31.90</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148451</th>\n",
" <td>25075</td>\n",
" <td>LAB3000963</td>\n",
" <td>10.50</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148452</th>\n",
" <td>25075</td>\n",
" <td>LAB3026361</td>\n",
" <td>3.80</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148453</th>\n",
" <td>25075</td>\n",
" <td>LAB3010813</td>\n",
" <td>6.30</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148454</th>\n",
" <td>25075</td>\n",
" <td>LAB3051714</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148455</th>\n",
" <td>25075</td>\n",
" <td>LAB3000401</td>\n",
" <td>NaN</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148456</th>\n",
" <td>25075</td>\n",
" <td>LAB3012336</td>\n",
" <td>715.00</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148457</th>\n",
" <td>25075</td>\n",
" <td>LAB3016436</td>\n",
" <td>270.00</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>148458</th>\n",
" <td>25075</td>\n",
" <td>LAB3016723</td>\n",
" <td>0.90</td>\n",
" <td>2015-11-21</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>556347 rows × 4 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id event_id value indx_date\n",
"9 19 DIAG433329 1.00 2014-02-02\n",
"10 19 DIAG81902 1.00 2014-02-02\n",
"11 19 DIAG74082 1.00 2014-02-02\n",
"12 19 DIAG436539 1.00 2014-02-02\n",
"13 19 DIAG80502 1.00 2014-02-02\n",
"14 19 DIAG373995 1.00 2014-02-02\n",
"15 19 DIAG374009 1.00 2014-02-02\n",
"16 19 DIAG320128 1.00 2014-02-02\n",
"17 19 DIAG321873 1.00 2014-02-02\n",
"218905 19 LAB3048529 0.04 2014-02-02\n",
"218906 19 LAB3033236 5.00 2014-02-02\n",
"218907 19 LAB3004905 22.00 2014-02-02\n",
"218908 19 LAB3024128 0.80 2014-02-02\n",
"218909 19 LAB3016771 71.00 2014-02-02\n",
"218910 19 LAB3001110 85.00 2014-02-02\n",
"218911 19 LAB3007220 371.00 2014-02-02\n",
"218912 19 LAB3013721 54.00 2014-02-02\n",
"218913 19 LAB3006923 33.00 2014-02-02\n",
"218914 19 LAB3039000 20.00 2014-02-02\n",
"218915 19 LAB3016293 22.00 2014-02-02\n",
"218916 19 LAB3018572 101.00 2014-02-02\n",
"218917 19 LAB3023103 5.40 2014-02-02\n",
"218918 19 LAB3019550 138.00 2014-02-02\n",
"218919 19 LAB3016723 1.50 2014-02-02\n",
"218920 19 LAB3013682 33.00 2014-02-02\n",
"218921 19 LAB3004501 161.00 2014-02-02\n",
"218922 19 LAB3007461 230.00 2014-02-02\n",
"218923 19 LAB3011987 NaN 2014-02-02\n",
"218924 19 LAB3025639 NaN 2014-02-02\n",
"218925 19 LAB3005707 NaN 2014-02-02\n",
"... ... ... ... ...\n",
"148429 25075 LAB3051714 NaN 2015-11-21\n",
"148430 25075 LAB3000401 NaN 2015-11-21\n",
"148431 25075 LAB3016407 992.00 2015-11-21\n",
"148432 25075 LAB3032080 1.10 2015-11-21\n",
"148433 25075 LAB3013466 26.10 2015-11-21\n",
"148434 25075 LAB3002417 12.80 2015-11-21\n",
"148435 25075 LAB3007461 106.00 2015-11-21\n",
"148436 25075 LAB3025639 NaN 2015-11-21\n",
"148437 25075 LAB3005707 NaN 2015-11-21\n",
"148438 25075 LAB3011368 NaN 2015-11-21\n",
"148439 25075 LAB3038691 NaN 2015-11-21\n",
"148440 25075 LAB3021303 NaN 2015-11-21\n",
"148441 25075 LAB3022096 0.20 2015-11-21\n",
"148442 25075 LAB3006504 0.50 2015-11-21\n",
"148443 25075 LAB3019069 2.60 2015-11-21\n",
"148444 25075 LAB3002030 23.50 2015-11-21\n",
"148445 25075 LAB3017354 73.30 2015-11-21\n",
"148446 25075 LAB3002385 16.70 2015-11-21\n",
"148447 25075 LAB3003338 32.90 2015-11-21\n",
"148448 25075 LAB3035941 27.60 2015-11-21\n",
"148449 25075 LAB3024731 84.00 2015-11-21\n",
"148450 25075 LAB3009542 31.90 2015-11-21\n",
"148451 25075 LAB3000963 10.50 2015-11-21\n",
"148452 25075 LAB3026361 3.80 2015-11-21\n",
"148453 25075 LAB3010813 6.30 2015-11-21\n",
"148454 25075 LAB3051714 NaN 2015-11-21\n",
"148455 25075 LAB3000401 NaN 2015-11-21\n",
"148456 25075 LAB3012336 715.00 2015-11-21\n",
"148457 25075 LAB3016436 270.00 2015-11-21\n",
"148458 25075 LAB3016723 0.90 2015-11-21\n",
"\n",
"[556347 rows x 4 columns]"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"joined_df = events.join(indx_date_df.set_index('patient_id'), on='patient_id')\n",
"joined_df.indx_date = pd.to_datetime(joined_df.indx_date, format='%Y-%m-%d')\n",
"\n",
"joined_df = joined_df[\n",
" (joined_df.indx_date >= joined_df.timestamp) & \n",
" (joined_df.indx_date - joined_df.timestamp <= timedelta(days=2000))\n",
"]\n",
"joined_df = joined_df.drop(['event_description', 'timestamp'], axis=1)\n",
"joined_df"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"joined_df.to_csv(\n",
" '../data/train/etl_filtered_events.csv', \n",
" columns=['patient_id', 'event_id', 'value'], \n",
" index=False\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" <td>19</td>\n",
" <td>2045</td>\n",
" <td>0.166667</td>\n",
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" <tr>\n",
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" <td>19</td>\n",
" <td>2075</td>\n",
" <td>0.034483</td>\n",
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" <th>12</th>\n",
" <td>19</td>\n",
" <td>2221</td>\n",
" <td>0.200000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>19</td>\n",
" <td>2260</td>\n",
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" <td>2435</td>\n",
" <td>0.033333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>18</th>\n",
" <td>19</td>\n",
" <td>2447</td>\n",
" <td>0.012658</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>19</td>\n",
" <td>2448</td>\n",
" <td>0.016667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>19</td>\n",
" <td>2503</td>\n",
" <td>0.142857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>19</td>\n",
" <td>2593</td>\n",
" <td>0.037037</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>19</td>\n",
" <td>2598</td>\n",
" <td>0.153846</td>\n",
" </tr>\n",
" <tr>\n",
" <th>23</th>\n",
" <td>19</td>\n",
" <td>2599</td>\n",
" <td>0.090909</td>\n",
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" <tr>\n",
" <th>24</th>\n",
" <td>19</td>\n",
" <td>2640</td>\n",
" <td>0.222222</td>\n",
" </tr>\n",
" <tr>\n",
" <th>25</th>\n",
" <td>19</td>\n",
" <td>2646</td>\n",
" <td>0.200000</td>\n",
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" <tr>\n",
" <th>26</th>\n",
" <td>19</td>\n",
" <td>2682</td>\n",
" <td>0.041667</td>\n",
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" <tr>\n",
" <th>27</th>\n",
" <td>19</td>\n",
" <td>2684</td>\n",
" <td>0.031250</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>19</td>\n",
" <td>2688</td>\n",
" <td>0.007937</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>19</td>\n",
" <td>2696</td>\n",
" <td>0.009434</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64179</th>\n",
" <td>25075</td>\n",
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" <td>0.006993</td>\n",
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" <tr>\n",
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" <td>25075</td>\n",
" <td>2871</td>\n",
" <td>0.005376</td>\n",
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" <tr>\n",
" <th>64181</th>\n",
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" <td>2874</td>\n",
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" <td>25075</td>\n",
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" <td>25075</td>\n",
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" <th>64184</th>\n",
" <td>25075</td>\n",
" <td>2902</td>\n",
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" <th>64185</th>\n",
" <td>25075</td>\n",
" <td>2904</td>\n",
" <td>0.055556</td>\n",
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" <th>64186</th>\n",
" <td>25075</td>\n",
" <td>2905</td>\n",
" <td>0.017857</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64187</th>\n",
" <td>25075</td>\n",
" <td>2911</td>\n",
" <td>0.016509</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64188</th>\n",
" <td>25075</td>\n",
" <td>2923</td>\n",
" <td>0.053763</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64189</th>\n",
" <td>25075</td>\n",
" <td>2931</td>\n",
" <td>0.016471</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64190</th>\n",
" <td>25075</td>\n",
" <td>2938</td>\n",
" <td>0.053763</td>\n",
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" <tr>\n",
" <th>64191</th>\n",
" <td>25075</td>\n",
" <td>2948</td>\n",
" <td>0.014388</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64192</th>\n",
" <td>25075</td>\n",
" <td>2966</td>\n",
" <td>0.038462</td>\n",
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" <tr>\n",
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" <td>25075</td>\n",
" <td>2967</td>\n",
" <td>0.009009</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64194</th>\n",
" <td>25075</td>\n",
" <td>2981</td>\n",
" <td>0.040541</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64195</th>\n",
" <td>25075</td>\n",
" <td>2995</td>\n",
" <td>0.013667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64196</th>\n",
" <td>25075</td>\n",
" <td>3005</td>\n",
" <td>0.014925</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64197</th>\n",
" <td>25075</td>\n",
" <td>3008</td>\n",
" <td>0.009524</td>\n",
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" <tr>\n",
" <th>64198</th>\n",
" <td>25075</td>\n",
" <td>3010</td>\n",
" <td>0.029056</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64199</th>\n",
" <td>25075</td>\n",
" <td>3011</td>\n",
" <td>0.011364</td>\n",
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" <tr>\n",
" <th>64200</th>\n",
" <td>25075</td>\n",
" <td>3030</td>\n",
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" <th>64201</th>\n",
" <td>25075</td>\n",
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" <tr>\n",
" <th>64202</th>\n",
" <td>25075</td>\n",
" <td>3049</td>\n",
" <td>0.036364</td>\n",
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" <tr>\n",
" <th>64203</th>\n",
" <td>25075</td>\n",
" <td>3063</td>\n",
" <td>0.066667</td>\n",
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" <tr>\n",
" <th>64204</th>\n",
" <td>25075</td>\n",
" <td>3094</td>\n",
" <td>0.011976</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64205</th>\n",
" <td>25075</td>\n",
" <td>3120</td>\n",
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" <tr>\n",
" <th>64206</th>\n",
" <td>25075</td>\n",
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" <tr>\n",
" <th>64207</th>\n",
" <td>25075</td>\n",
" <td>3147</td>\n",
" <td>0.014458</td>\n",
" </tr>\n",
" <tr>\n",
" <th>64208</th>\n",
" <td>25075</td>\n",
" <td>3171</td>\n",
" <td>0.019608</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>64209 rows × 3 columns</p>\n",
"</div>"
],
"text/plain": [
" patient_id feature_id feature_value\n",
"0 19 719 0.250000\n",
"1 19 744 1.000000\n",
"2 19 784 0.333333\n",
"3 19 786 0.333333\n",
"4 19 1202 1.000000\n",
"5 19 1411 1.000000\n",
"6 19 1895 1.000000\n",
"7 19 2001 0.500000\n",
"8 19 2028 0.500000\n",
"9 19 2040 0.090909\n",
"10 19 2045 0.166667\n",
"11 19 2075 0.034483\n",
"12 19 2221 0.200000\n",
"13 19 2260 0.333333\n",
"14 19 2340 0.142857\n",
"15 19 2378 0.181818\n",
"16 19 2432 0.142857\n",
"17 19 2435 0.033333\n",
"18 19 2447 0.012658\n",
"19 19 2448 0.016667\n",
"20 19 2503 0.142857\n",
"21 19 2593 0.037037\n",
"22 19 2598 0.153846\n",
"23 19 2599 0.090909\n",
"24 19 2640 0.222222\n",
"25 19 2646 0.200000\n",
"26 19 2682 0.041667\n",
"27 19 2684 0.031250\n",
"28 19 2688 0.007937\n",
"29 19 2696 0.009434\n",
"... ... ... ...\n",
"64179 25075 2866 0.006993\n",
"64180 25075 2871 0.005376\n",
"64181 25075 2874 0.012346\n",
"64182 25075 2880 0.014320\n",
"64183 25075 2881 0.007463\n",
"64184 25075 2902 0.014388\n",
"64185 25075 2904 0.055556\n",
"64186 25075 2905 0.017857\n",
"64187 25075 2911 0.016509\n",
"64188 25075 2923 0.053763\n",
"64189 25075 2931 0.016471\n",
"64190 25075 2938 0.053763\n",
"64191 25075 2948 0.014388\n",
"64192 25075 2966 0.038462\n",
"64193 25075 2967 0.009009\n",
"64194 25075 2981 0.040541\n",
"64195 25075 2995 0.013667\n",
"64196 25075 3005 0.014925\n",
"64197 25075 3008 0.009524\n",
"64198 25075 3010 0.029056\n",
"64199 25075 3011 0.011364\n",
"64200 25075 3030 0.029056\n",
"64201 25075 3045 0.005376\n",
"64202 25075 3049 0.036364\n",
"64203 25075 3063 0.066667\n",
"64204 25075 3094 0.011976\n",
"64205 25075 3120 0.035294\n",
"64206 25075 3122 0.029056\n",
"64207 25075 3147 0.014458\n",
"64208 25075 3171 0.019608\n",
"\n",
"[64209 rows x 3 columns]"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"filtered_events_df = joined_df.copy()\n",
"feature_map_df = pd.read_csv('../data/train/event_feature_map.csv')\n",
"\n",
"# Join feature_map_df and filtered_events_df using event_id, using \n",
"# corresponding idx of feature_map_df as the new feature_id\n",
"aggregated_events = filtered_events_df.join(\n",
" feature_map_df.set_index('event_id'), \n",
" on='event_id'\n",
")\n",
"aggregated_events = aggregated_events.rename({'idx': 'feature_id'}, axis='columns')\n",
"\n",
"# Remove events with NaN values\n",
"aggregated_events = aggregated_events[pd.notnull(aggregated_events.value)]\n",
"\n",
"# Aggregate events with sum and count\n",
"aggregated_events = aggregated_events.groupby(\n",
" ['patient_id', 'event_id', 'feature_id']\n",
")['value'].agg(['sum', 'count']).reset_index()\n",
"aggregated_events['feature_value'] = aggregated_events.apply(\n",
" lambda x: \n",
" x['sum'] \n",
" if x.event_id.startswith('DIAG') or x.event_id.startswith('DRUG') \n",
" else x['count'],\n",
" axis=1\n",
")\n",
"\n",
"# Normalize feature_value\n",
"max_feature_value_df = aggregated_events.groupby(\n",
" ['feature_id']\n",
")['feature_value'].max().reset_index(\n",
" name='max_feature_value'\n",
")\n",
"aggregated_events = aggregated_events.join(\n",
" max_feature_value_df.set_index('feature_id'), \n",
" on='feature_id'\n",
")\n",
"aggregated_events['feature_value'] = (\n",
" aggregated_events.feature_value / aggregated_events.max_feature_value\n",
")\n",
"\n",
"# Remove unneeded columns\n",
"aggregated_events = aggregated_events.drop(\n",
" ['event_id', 'sum', 'count', 'max_feature_value'],\n",
" axis=1\n",
")\n",
"aggregated_events"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"aggregated_events.to_csv(\n",
" '../deliverables/etl_aggregated_events.csv', \n",
" columns=['patient_id', 'feature_id', 'feature_value'], \n",
" index=False\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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" 818: [(51, 1.0),\n",
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" 862: [(25, 1.0),\n",
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" 869: [(551, 1.0),\n",
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" 871: [(10, 0.25),\n",
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" 928: [(153, 0.5),\n",
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" 1017: [(485, 0.5),\n",
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" 1065: [(469, 1.0),\n",
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" (1129, 1.0),\n",
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" (1562, 1.0),\n",
" (1623, 1.0),\n",
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" (3147, 0.004819277108433735)],\n",
" 1069: [(203, 1.0),\n",
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" (1344, 1.0),\n",
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" (2924, 1.0),\n",
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" (3173, 0.016483516483516484)],\n",
" 1070: [(900, 1.0),\n",
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" (3122, 0.002421307506053269)],\n",
" 1132: [(900, 1.0),\n",
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" 1139: [(337, 0.3333333333333333),\n",
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" 1219: [(3, 1.0),\n",
" (822, 1.0),\n",
" (823, 1.0),\n",
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" (1129, 1.0),\n",
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" 1227: [(2684, 0.03125),\n",
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" 1249: [(207, 1.0),\n",
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" (2839, 0.005128205128205128),\n",
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" (2863, 0.3333333333333333),\n",
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" (2911, 0.009433962264150943),\n",
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" (2931, 0.009411764705882352),\n",
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" (2995, 0.00683371298405467),\n",
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" (3008, 0.009523809523809525),\n",
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" (3030, 0.007263922518159807),\n",
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" (3094, 0.011976047904191617),\n",
" (3122, 0.007263922518159807),\n",
" (3147, 0.007228915662650603)],\n",
" 1372: [(202, 1.0),\n",
" (542, 1.0),\n",
" (814, 1.0),\n",
" (1216, 1.0),\n",
" (1323, 1.0),\n",
" (1458, 1.0),\n",
" (1499, 1.0),\n",
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" (2376, 0.125),\n",
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" (2981, 0.013513513513513514),\n",
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" (3030, 0.002421307506053269),\n",
" (3094, 0.005988023952095809),\n",
" (3122, 0.002421307506053269),\n",
" (3147, 0.004819277108433735)],\n",
" 1422: [(719, 0.25),\n",
" (827, 1.0),\n",
" (849, 0.5),\n",
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" (2434, 0.5),\n",
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" (2545, 0.25),\n",
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" (2684, 0.09375),\n",
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" (2841, 0.01694915254237288),\n",
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" (2956, 0.05),\n",
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" (3030, 0.012106537530266344),\n",
" (3045, 0.016129032258064516),\n",
" (3094, 0.011976047904191617),\n",
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" (3099, 0.0380952380952381),\n",
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" (3147, 0.021686746987951807),\n",
" (3171, 0.0196078431372549),\n",
" (3173, 0.027472527472527472)],\n",
" 1438: [(1177, 1.0),\n",
" (1259, 1.0),\n",
" (1469, 1.0),\n",
" (1858, 1.0),\n",
" (2684, 0.0625),\n",
" (2696, 0.009433962264150943),\n",
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" (2736, 0.009685230024213076),\n",
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" (2938, 0.010752688172043012),\n",
" (2939, 0.5),\n",
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" (2995, 0.01366742596810934),\n",
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" (3008, 0.0380952380952381),\n",
" (3009, 1.0),\n",
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" (3030, 0.009685230024213076),\n",
" (3045, 0.010752688172043012),\n",
" (3062, 0.4),\n",
" (3094, 0.011976047904191617),\n",
" (3122, 0.009685230024213076),\n",
" (3147, 0.012048192771084338)],\n",
" 1451: [(900, 1.0),\n",
" (1129, 1.0),\n",
" (1292, 1.0),\n",
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" (3122, 0.002421307506053269)],\n",
" 1518: [(630, 1.0),\n",
" (637, 1.0),\n",
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" (695, 1.0),\n",
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" (1106, 1.0),\n",
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" (2050, 0.75),\n",
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" (2461, 0.75),\n",
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" (2563, 0.5),\n",
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" (3147, 0.00963855421686747)],\n",
" 1619: [(170, 0.25),\n",
" (235, 1.0),\n",
" (278, 0.5),\n",
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" (541, 1.0),\n",
" (719, 0.25),\n",
" (854, 1.0),\n",
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" 1656: [(485, 0.5),\n",
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" (565, 1.0),\n",
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" (2861, 0.1111111111111111),\n",
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" (2894, 0.25),\n",
" (2902, 0.11270983213429256),\n",
" (2905, 0.026785714285714284),\n",
" (2907, 0.375),\n",
" (2911, 0.11084905660377359),\n",
" (2914, 0.03278688524590164),\n",
" (2916, 0.2),\n",
" (2921, 0.037037037037037035),\n",
" (2923, 0.07526881720430108),\n",
" (2931, 0.11529411764705882),\n",
" (2938, 0.07526881720430108),\n",
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" (2948, 0.12709832134292565),\n",
" (2965, 0.375),\n",
" (2967, 0.16216216216216217),\n",
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" (2987, 0.42857142857142855),\n",
" (2988, 0.2972972972972973),\n",
" (2995, 0.11389521640091116),\n",
" (3000, 0.041666666666666664),\n",
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" (3008, 0.047619047619047616),\n",
" (3010, 0.0774818401937046),\n",
" (3011, 0.011363636363636364),\n",
" (3030, 0.0774818401937046),\n",
" (3034, 0.3),\n",
" (3045, 0.15591397849462366),\n",
" (3047, 0.2727272727272727),\n",
" (3049, 0.01818181818181818),\n",
" (3094, 0.041916167664670656),\n",
" (3099, 0.0380952380952381),\n",
" (3103, 1.0),\n",
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" (3171, 0.09803921568627451),\n",
" (3173, 0.01098901098901099)],\n",
" 1665: [(243, 1.0),\n",
" (1088, 1.0),\n",
" (1111, 1.0),\n",
" (1678, 1.0),\n",
" (2183, 0.04),\n",
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" (2231, 1.0),\n",
" (2237, 1.0),\n",
" (2412, 0.1111111111111111),\n",
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" (2995, 0.00683371298405467),\n",
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" (3049, 0.03636363636363636),\n",
" (3094, 0.023952095808383235),\n",
" (3122, 0.009685230024213076),\n",
" (3147, 0.007228915662650603),\n",
" (3171, 0.0196078431372549)],\n",
" 1675: [(100, 1.0),\n",
" (572, 0.5),\n",
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" (1060, 0.5),\n",
" (1222, 1.0),\n",
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" (2064, 1.0),\n",
" (2078, 0.1),\n",
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" (2193, 0.1111111111111111),\n",
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" (2640, 0.1111111111111111),\n",
" (2646, 0.6),\n",
" (2684, 0.09375),\n",
" (2696, 0.02122641509433962),\n",
" (2697, 0.03007518796992481),\n",
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" (2736, 0.021791767554479417),\n",
" (2748, 0.09090909090909091),\n",
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" (2770, 0.1111111111111111),\n",
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" (2779, 0.03125),\n",
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" (2787, 0.005319148936170213),\n",
" (2789, 0.012012012012012012),\n",
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" (2804, 1.0),\n",
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" (2902, 0.019184652278177457),\n",
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" (2948, 0.019184652278177457),\n",
" (2965, 0.125),\n",
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" (2995, 0.022779043280182234),\n",
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" (3008, 0.02857142857142857),\n",
" (3010, 0.021791767554479417),\n",
" (3030, 0.021791767554479417),\n",
" (3041, 0.15384615384615385),\n",
" (3045, 0.005376344086021506),\n",
" (3047, 0.18181818181818182),\n",
" (3057, 0.07692307692307693),\n",
" (3094, 0.017964071856287425),\n",
" (3099, 0.02857142857142857),\n",
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" (3147, 0.01927710843373494),\n",
" (3171, 0.0196078431372549)],\n",
" 1688: [(551, 1.0),\n",
" (689, 1.0),\n",
" (900, 1.0),\n",
" (1129, 1.0),\n",
" (1648, 1.0),\n",
" (1673, 1.0),\n",
" (1698, 1.0),\n",
" (1717, 1.0),\n",
" (2350, 0.04285714285714286),\n",
" (2448, 0.05),\n",
" (2656, 0.15789473684210525),\n",
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" (2866, 0.013986013986013986),\n",
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" (2902, 0.004796163069544364),\n",
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" (2931, 0.004705882352941176),\n",
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" (2992, 0.012195121951219513),\n",
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" (3045, 0.026881720430107527),\n",
" (3049, 0.10909090909090909),\n",
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" (3122, 0.002421307506053269),\n",
" (3147, 0.004819277108433735)],\n",
" 1718: [(144, 0.25),\n",
" (507, 0.3333333333333333),\n",
" (573, 1.0),\n",
" (615, 0.25),\n",
" (650, 0.3333333333333333),\n",
" (653, 0.5),\n",
" (670, 0.3333333333333333),\n",
" (736, 1.0),\n",
" (1010, 0.5),\n",
" (1036, 1.0),\n",
" (1058, 0.3333333333333333),\n",
" (1317, 1.0),\n",
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" (2036, 0.25),\n",
" (2040, 0.13636363636363635),\n",
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" (2050, 0.75),\n",
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" (2140, 0.42857142857142855),\n",
" (2169, 0.5),\n",
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" (2193, 0.1111111111111111),\n",
" (2308, 0.5),\n",
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" (2357, 0.4),\n",
" (2362, 0.5),\n",
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" (2448, 0.4),\n",
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" (2453, 0.22580645161290322),\n",
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" (2478, 0.125),\n",
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" (2510, 0.75),\n",
" (2517, 0.4),\n",
" (2532, 0.25),\n",
" (2543, 0.0873015873015873),\n",
" (2563, 0.5),\n",
" (2589, 0.3),\n",
" (2599, 0.22727272727272727),\n",
" (2602, 0.6666666666666666),\n",
" (2612, 0.25),\n",
" (2626, 0.2),\n",
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" (2646, 0.4),\n",
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" (3171, 0.39215686274509803)],\n",
" 1727: [(352, 0.3333333333333333),\n",
" (499, 1.0),\n",
" (729, 1.0),\n",
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" (1476, 1.0),\n",
" (1656, 1.0),\n",
" (1663, 1.0),\n",
" (1964, 1.0),\n",
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" (2839, 0.035897435897435895),\n",
" (2841, 0.14285714285714285),\n",
" (2859, 0.10179640718562874),\n",
" (2861, 0.1111111111111111),\n",
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" (2871, 0.03763440860215054),\n",
" (2874, 0.037037037037037035),\n",
" (2875, 0.06451612903225806),\n",
" (2880, 0.11217183770883055),\n",
" (2881, 0.09701492537313433),\n",
" (2891, 0.34375),\n",
" (2897, 0.07692307692307693),\n",
" (2902, 0.09592326139088729),\n",
" (2905, 0.08928571428571429),\n",
" (2906, 0.16666666666666666),\n",
" (2911, 0.11084905660377359),\n",
" (2914, 0.03278688524590164),\n",
" (2920, 0.11764705882352941),\n",
" (2921, 0.037037037037037035),\n",
" (2923, 0.11827956989247312),\n",
" (2924, 1.0),\n",
" (2931, 0.09411764705882353),\n",
" (2938, 0.11827956989247312),\n",
" (2948, 0.1079136690647482),\n",
" (2966, 0.038461538461538464),\n",
" (2967, 0.036036036036036036),\n",
" (2981, 0.10810810810810811),\n",
" (2983, 0.09523809523809523),\n",
" (2985, 0.2),\n",
" (2995, 0.09567198177676538),\n",
" (3000, 0.375),\n",
" (3005, 0.09701492537313433),\n",
" (3008, 0.05714285714285714),\n",
" (3010, 0.14285714285714285),\n",
" (3011, 0.011363636363636364),\n",
" (3030, 0.14285714285714285),\n",
" (3034, 0.5),\n",
" (3041, 0.07692307692307693),\n",
" (3045, 0.03763440860215054),\n",
" (3057, 0.07692307692307693),\n",
" (3063, 0.06666666666666667),\n",
" (3094, 0.0718562874251497),\n",
" (3096, 0.16666666666666666),\n",
" (3099, 0.05714285714285714),\n",
" (3119, 0.07142857142857142),\n",
" (3120, 0.38823529411764707),\n",
" (3122, 0.14285714285714285),\n",
" (3147, 0.09397590361445783),\n",
" (3171, 0.13725490196078433),\n",
" (3175, 0.10526315789473684)],\n",
" 1761: [(134, 1.0),\n",
" (144, 0.25),\n",
" (209, 1.0),\n",
" (525, 1.0),\n",
" (571, 1.0),\n",
" (673, 0.3333333333333333),\n",
" (1044, 0.3333333333333333),\n",
" (1046, 0.3333333333333333),\n",
" (1711, 1.0),\n",
" (1739, 1.0),\n",
" (2682, 0.041666666666666664),\n",
" (2684, 0.0625),\n",
" (2696, 0.02830188679245283),\n",
" (2697, 0.03007518796992481),\n",
" (2702, 0.01912568306010929),\n",
" (2713, 0.021505376344086023),\n",
" (2721, 0.024213075060532687),\n",
" (2723, 0.017964071856287425),\n",
" (2736, 0.024213075060532687),\n",
" (2751, 0.02650602409638554),\n",
" (2759, 0.034482758620689655),\n",
" (2770, 0.1111111111111111),\n",
" (2785, 0.011904761904761904),\n",
" (2787, 0.031914893617021274),\n",
" (2789, 0.021021021021021023),\n",
" (2790, 0.03731343283582089),\n",
" (2795, 0.06806282722513089),\n",
" (2799, 0.031476997578692496),\n",
" (2807, 0.16666666666666666),\n",
" (2824, 0.024667931688804556),\n",
" (2839, 0.03076923076923077),\n",
" (2841, 0.024213075060532687),\n",
" (2859, 0.020958083832335328),\n",
" (2866, 0.03496503496503497),\n",
" (2871, 0.026881720430107527),\n",
" (2874, 0.018518518518518517),\n",
" (2875, 0.03225806451612903),\n",
" (2876, 0.007633587786259542),\n",
" (2880, 0.031026252983293555),\n",
" (2881, 0.03731343283582089),\n",
" (2891, 0.09375),\n",
" (2902, 0.023980815347721823),\n",
" (2905, 0.017857142857142856),\n",
" (2911, 0.030660377358490566),\n",
" (2914, 0.04918032786885246),\n",
" (2923, 0.021505376344086023),\n",
" (2931, 0.02588235294117647),\n",
" (2938, 0.010752688172043012),\n",
" (2948, 0.023980815347721823),\n",
" (2956, 0.05),\n",
" (2967, 0.009009009009009009),\n",
" (2981, 0.013513513513513514),\n",
" (2995, 0.03189066059225513),\n",
" (3000, 0.041666666666666664),\n",
" (3005, 0.029850746268656716),\n",
" (3008, 0.009523809523809525),\n",
" (3010, 0.024213075060532687),\n",
" (3030, 0.024213075060532687),\n",
" (3045, 0.026881720430107527),\n",
" (3094, 0.017964071856287425),\n",
" (3099, 0.02857142857142857),\n",
" (3113, 0.08333333333333333),\n",
" (3119, 0.07142857142857142),\n",
" (3122, 0.024213075060532687),\n",
" (3147, 0.024096385542168676),\n",
" (3171, 0.0392156862745098)],\n",
" 1816: [(10, 0.5),\n",
" (12, 1.0),\n",
" (57, 1.0),\n",
" (79, 1.0),\n",
" (146, 1.0),\n",
" (150, 0.5),\n",
" (198, 1.0),\n",
" (269, 1.0),\n",
" (294, 0.3333333333333333),\n",
" (306, 0.3333333333333333),\n",
" (336, 0.5),\n",
" (337, 0.3333333333333333),\n",
" (453, 0.3333333333333333),\n",
" (485, 0.5),\n",
" (507, 0.6666666666666666),\n",
" (511, 0.5),\n",
" (525, 1.0),\n",
" (605, 0.6666666666666666),\n",
" (651, 1.0),\n",
" (681, 0.5),\n",
" (704, 0.5),\n",
" (707, 0.5),\n",
" (713, 0.5),\n",
" (714, 0.5),\n",
" (735, 0.5),\n",
" (946, 0.5),\n",
" (994, 0.5),\n",
" (1036, 1.0),\n",
" (1072, 1.0),\n",
" (1100, 0.6666666666666666),\n",
" (1241, 1.0),\n",
" (1298, 0.5),\n",
" (1366, 0.5),\n",
" (1380, 1.0),\n",
" (1472, 0.5),\n",
" (1483, 1.0),\n",
" (1486, 0.5),\n",
" (1596, 0.3333333333333333),\n",
" (1672, 1.0),\n",
" (2025, 1.0),\n",
" (2030, 0.2),\n",
" (2037, 0.1111111111111111),\n",
" (2040, 0.22727272727272727),\n",
" (2045, 0.3333333333333333),\n",
" (2046, 0.2127659574468085),\n",
" (2050, 0.25),\n",
" (2056, 0.1111111111111111),\n",
" (2075, 0.05172413793103448),\n",
" (2078, 0.2),\n",
" (2086, 0.08108108108108109),\n",
" (2092, 0.8),\n",
" (2135, 0.14285714285714285),\n",
" (2138, 1.0),\n",
" (2173, 0.3333333333333333),\n",
" (2193, 0.4444444444444444),\n",
" (2221, 0.7),\n",
" (2232, 0.2),\n",
" (2327, 0.4),\n",
" (2332, 0.09090909090909091),\n",
" (2347, 0.06666666666666667),\n",
" (2350, 0.02857142857142857),\n",
" (2357, 1.0),\n",
" (2378, 0.2727272727272727),\n",
" (2414, 0.6666666666666666),\n",
" (2432, 0.21428571428571427),\n",
" (2447, 0.02531645569620253),\n",
" (2448, 0.03333333333333333),\n",
" (2453, 0.03225806451612903),\n",
" (2460, 0.8571428571428571),\n",
" (2475, 0.3673469387755102),\n",
" (2476, 0.1111111111111111),\n",
" (2478, 0.2916666666666667),\n",
" (2482, 0.5714285714285714),\n",
" (2543, 0.03968253968253968),\n",
" (2565, 1.0),\n",
" (2572, 1.0),\n",
" (2601, 0.4166666666666667),\n",
" (2626, 0.1),\n",
" (2634, 0.16666666666666666),\n",
" (2640, 0.2222222222222222),\n",
" (2649, 0.08),\n",
" (2651, 0.3333333333333333),\n",
" (2674, 0.1111111111111111),\n",
" (2682, 0.16666666666666666),\n",
" (2684, 0.21875),\n",
" (2688, 0.09523809523809523),\n",
" (2696, 0.11320754716981132),\n",
" (2697, 0.06015037593984962),\n",
" (2702, 0.08196721311475409),\n",
" (2713, 0.0967741935483871),\n",
" (2716, 0.058823529411764705),\n",
" (2721, 0.08716707021791767),\n",
" (2723, 0.12574850299401197),\n",
" (2736, 0.08716707021791767),\n",
" (2751, 0.08674698795180723),\n",
" (2759, 0.13793103448275862),\n",
" (2760, 0.09090909090909091),\n",
" (2766, 0.09649122807017543),\n",
" (2770, 0.1111111111111111),\n",
" (2773, 0.2222222222222222),\n",
" (2779, 0.03125),\n",
" (2785, 0.05952380952380952),\n",
" (2787, 0.14361702127659576),\n",
" (2789, 0.08108108108108109),\n",
" (2790, 0.05970149253731343),\n",
" (2791, 0.07692307692307693),\n",
" (2795, 0.04712041884816754),\n",
" (2799, 0.08958837772397095),\n",
" (2805, 0.1111111111111111),\n",
" (2807, 0.16666666666666666),\n",
" (2824, 0.09487666034155598),\n",
" (2826, 0.06666666666666667),\n",
" (2839, 0.14358974358974358),\n",
" (2841, 0.09200968523002422),\n",
" (2859, 0.0718562874251497),\n",
" (2865, 0.0379746835443038),\n",
" (2866, 0.11888111888111888),\n",
" (2871, 0.13978494623655913),\n",
" (2874, 0.12962962962962962),\n",
" (2875, 0.06451612903225806),\n",
" (2876, 0.06870229007633588),\n",
" (2880, 0.0883054892601432),\n",
" (2881, 0.05970149253731343),\n",
" (2888, 0.1111111111111111),\n",
" (2891, 0.21875),\n",
" (2897, 0.07692307692307693),\n",
" (2902, 0.08633093525179857),\n",
" (2903, 0.06896551724137931),\n",
" (2905, 0.03571428571428571),\n",
" (2911, 0.08726415094339622),\n",
" (2914, 0.08196721311475409),\n",
" (2920, 0.11764705882352941),\n",
" (2923, 0.0967741935483871),\n",
" (2931, 0.08705882352941176),\n",
" (2938, 0.0967741935483871),\n",
" (2948, 0.08633093525179857),\n",
" (2956, 0.15),\n",
" (2967, 0.10810810810810811),\n",
" (2981, 0.05405405405405406),\n",
" (2983, 0.047619047619047616),\n",
" (2995, 0.08428246013667426),\n",
" (3005, 0.05223880597014925),\n",
" (3008, 0.047619047619047616),\n",
" (3010, 0.08716707021791767),\n",
" (3011, 0.022727272727272728),\n",
" (3030, 0.08716707021791767),\n",
" (3041, 0.07692307692307693),\n",
" (3045, 0.13978494623655913),\n",
" (3057, 0.07692307692307693),\n",
" (3094, 0.12574850299401197),\n",
" (3099, 0.05714285714285714),\n",
" (3113, 0.08333333333333333),\n",
" (3119, 0.07142857142857142),\n",
" (3122, 0.08716707021791767),\n",
" (3147, 0.08674698795180723),\n",
" (3171, 0.21568627450980393),\n",
" (3173, 0.04395604395604396)],\n",
" 1820: [(765, 1.0),\n",
" (1221, 1.0),\n",
" (1690, 1.0),\n",
" (1720, 1.0),\n",
" (1796, 1.0),\n",
" (2046, 0.2553191489361702),\n",
" (2050, 0.25),\n",
" (2183, 0.08),\n",
" (2193, 0.1111111111111111),\n",
" (2215, 0.08333333333333333),\n",
" (2236, 0.16666666666666666),\n",
" (2293, 0.3333333333333333),\n",
" (2358, 0.14285714285714285),\n",
" (2378, 0.2727272727272727),\n",
" (2412, 0.1111111111111111),\n",
" (2414, 0.05555555555555555),\n",
" (2432, 0.14285714285714285),\n",
" (2447, 0.012658227848101266),\n",
" (2448, 0.016666666666666666),\n",
" (2475, 0.02040816326530612),\n",
" (2482, 0.14285714285714285),\n",
" (2549, 1.0),\n",
" (2626, 0.2),\n",
" (2646, 0.2),\n",
" (2679, 0.6666666666666666),\n",
" (2682, 0.041666666666666664),\n",
" (2684, 0.0625),\n",
" (2688, 0.007936507936507936),\n",
" (2696, 0.01650943396226415),\n",
" (2697, 0.007518796992481203),\n",
" (2702, 0.01366120218579235),\n",
" (2713, 0.010752688172043012),\n",
" (2721, 0.01694915254237288),\n",
" (2723, 0.017964071856287425),\n",
" (2736, 0.01694915254237288),\n",
" (2751, 0.014457831325301205),\n",
" (2760, 0.01818181818181818),\n",
" (2766, 0.008771929824561403),\n",
" (2785, 0.011904761904761904),\n",
" (2787, 0.005319148936170213),\n",
" (2789, 0.015015015015015015),\n",
" (2790, 0.007462686567164179),\n",
" (2799, 0.01694915254237288),\n",
" (2824, 0.013282732447817837),\n",
" (2839, 0.005128205128205128),\n",
" (2841, 0.01694915254237288),\n",
" (2859, 0.014970059880239521),\n",
" (2866, 0.006993006993006993),\n",
" (2871, 0.005376344086021506),\n",
" (2874, 0.018518518518518517),\n",
" (2880, 0.016706443914081145),\n",
" (2881, 0.007462686567164179),\n",
" (2891, 0.0625),\n",
" (2902, 0.014388489208633094),\n",
" (2904, 0.027777777777777776),\n",
" (2905, 0.008928571428571428),\n",
" (2911, 0.01650943396226415),\n",
" (2914, 0.03278688524590164),\n",
" (2923, 0.010752688172043012),\n",
" (2928, 0.5),\n",
" (2931, 0.01647058823529412),\n",
" (2938, 0.010752688172043012),\n",
" (2948, 0.014388489208633094),\n",
" (2981, 0.013513513513513514),\n",
" (2995, 0.01366742596810934),\n",
" (3005, 0.007462686567164179),\n",
" (3008, 0.009523809523809525),\n",
" (3010, 0.01694915254237288),\n",
" (3024, 0.045454545454545456),\n",
" (3030, 0.01694915254237288),\n",
" (3045, 0.005376344086021506),\n",
" (3094, 0.017964071856287425),\n",
" (3122, 0.01694915254237288),\n",
" (3147, 0.014457831325301205),\n",
" (3171, 0.0196078431372549)],\n",
" 1925: [(900, 1.0),\n",
" (1129, 1.0),\n",
" (2696, 0.0023584905660377358),\n",
" (2713, 0.010752688172043012),\n",
" (2721, 0.002421307506053269),\n",
" (2736, 0.002421307506053269),\n",
" (2798, 0.015873015873015872),\n",
" (2799, 0.002421307506053269),\n",
" (2824, 0.0018975332068311196),\n",
" (2841, 0.002421307506053269),\n",
" (2923, 0.010752688172043012),\n",
" (2938, 0.010752688172043012),\n",
" (3005, 0.007462686567164179),\n",
" (3010, 0.002421307506053269),\n",
" (3030, 0.002421307506053269),\n",
" (3049, 0.01818181818181818),\n",
" (3063, 0.03333333333333333),\n",
" (3122, 0.002421307506053269)],\n",
" 1934: [(900, 1.0),\n",
" (1129, 1.0),\n",
" (1649, 1.0),\n",
" (1792, 1.0),\n",
" (1855, 1.0),\n",
" (2696, 0.0023584905660377358),\n",
" (2713, 0.010752688172043012),\n",
" (2721, 0.002421307506053269),\n",
" (2736, 0.002421307506053269),\n",
" (2785, 0.011904761904761904),\n",
" (2798, 0.015873015873015872),\n",
" (2799, 0.002421307506053269),\n",
" (2824, 0.0018975332068311196),\n",
" (2841, 0.002421307506053269),\n",
" (2923, 0.010752688172043012),\n",
" (2938, 0.010752688172043012),\n",
" (3005, 0.007462686567164179),\n",
" (3010, 0.002421307506053269),\n",
" (3030, 0.002421307506053269),\n",
" (3049, 0.01818181818181818),\n",
" (3063, 0.03333333333333333),\n",
" (3122, 0.002421307506053269)],\n",
" 1944: [(8, 1.0),\n",
" (10, 0.5),\n",
" (150, 0.5),\n",
" (200, 0.3333333333333333),\n",
" (306, 0.3333333333333333),\n",
" (367, 0.5),\n",
" (381, 0.4),\n",
" (429, 0.3333333333333333),\n",
" (485, 0.5),\n",
" (524, 1.0),\n",
" (572, 0.5),\n",
" (626, 1.0),\n",
" (642, 1.0),\n",
" (664, 1.0),\n",
" (681, 0.5),\n",
" (691, 1.0),\n",
" (708, 0.3333333333333333),\n",
" (713, 0.3333333333333333),\n",
" (729, 1.0),\n",
" (735, 0.5),\n",
" (736, 1.0),\n",
" (849, 0.5),\n",
" (915, 1.0),\n",
" (1087, 1.0),\n",
" (1100, 0.6666666666666666),\n",
" (1222, 1.0),\n",
" (1279, 0.5),\n",
" (1298, 0.5),\n",
" (1340, 0.6666666666666666),\n",
" (1406, 0.3333333333333333),\n",
" (1476, 1.0),\n",
" (1490, 1.0),\n",
" (1589, 0.5),\n",
" (1630, 0.5),\n",
" (1895, 1.0),\n",
" (2028, 0.5),\n",
" (2030, 0.2),\n",
" (2040, 0.045454545454545456),\n",
" (2045, 0.16666666666666666),\n",
" (2075, 0.017241379310344827),\n",
" (2173, 0.16666666666666666),\n",
" (2177, 0.06060606060606061),\n",
" (2178, 0.3333333333333333),\n",
" (2193, 0.3333333333333333),\n",
" (2205, 1.0),\n",
" (2215, 0.08333333333333333),\n",
" (2236, 0.16666666666666666),\n",
" (2260, 0.3333333333333333),\n",
" (2282, 0.041666666666666664),\n",
" (2308, 0.05),\n",
" (2311, 0.09090909090909091),\n",
" (2332, 0.09090909090909091),\n",
" (2335, 0.125),\n",
" (2338, 1.0),\n",
" (2339, 1.0),\n",
" (2340, 0.2857142857142857),\n",
" (2343, 0.043478260869565216),\n",
" (2350, 0.18571428571428572),\n",
" (2378, 0.2727272727272727),\n",
" (2432, 0.21428571428571427),\n",
" (2447, 0.0379746835443038),\n",
" (2448, 0.06666666666666667),\n",
" (2475, 0.01020408163265306),\n",
" (2476, 0.3333333333333333),\n",
" (2478, 0.125),\n",
" (2498, 0.041666666666666664),\n",
" (2499, 0.3333333333333333),\n",
" (2543, 0.023809523809523808),\n",
" (2570, 0.058823529411764705),\n",
" (2612, 0.25),\n",
" (2635, 0.8),\n",
" (2640, 0.1111111111111111),\n",
" (2642, 0.25),\n",
" (2649, 0.05333333333333334),\n",
" (2656, 0.05263157894736842),\n",
" (2674, 0.1111111111111111),\n",
" (2680, 0.058823529411764705),\n",
" (2682, 0.2916666666666667),\n",
" (2684, 0.28125),\n",
" (2688, 0.12698412698412698),\n",
" (2696, 0.14150943396226415),\n",
" (2697, 0.06766917293233082),\n",
" (2698, 0.09523809523809523),\n",
" (2702, 0.1448087431693989),\n",
" (2713, 0.10752688172043011),\n",
" (2721, 0.11138014527845036),\n",
" (2722, 0.07692307692307693),\n",
" (2723, 0.08982035928143713),\n",
" (2728, 0.14285714285714285),\n",
" (2733, 0.3333333333333333),\n",
" (2736, 0.11138014527845036),\n",
" (2751, 0.14457831325301204),\n",
" (2758, 0.07692307692307693),\n",
" (2759, 0.13793103448275862),\n",
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" 1999: [(10, 0.5),\n",
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" (3173, 0.07692307692307693)],\n",
" 2077: [(900, 1.0),\n",
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" 2144: [(10, 0.25),\n",
" (107, 1.0),\n",
" (198, 0.5),\n",
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" (498, 1.0),\n",
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" (956, 1.0),\n",
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" (3011, 0.22727272727272727),\n",
" (3030, 0.07263922518159806),\n",
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" 2145: [(900, 1.0),\n",
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" (3049, 0.01818181818181818)],\n",
" 2160: [(187, 1.0),\n",
" (551, 1.0),\n",
" (656, 0.5),\n",
" (901, 1.0),\n",
" (1129, 1.0),\n",
" (1144, 1.0),\n",
" (1345, 1.0),\n",
" (1373, 1.0),\n",
" (1559, 1.0),\n",
" (1673, 1.0),\n",
" (1798, 1.0),\n",
" (1997, 1.0),\n",
" (2166, 1.0),\n",
" (2255, 0.5),\n",
" (2262, 0.23076923076923078),\n",
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" (2938, 0.06451612903225806),\n",
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" (3063, 0.2),\n",
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" (3122, 0.014527845036319613),\n",
" (3140, 0.009615384615384616),\n",
" (3147, 0.07710843373493977)],\n",
" 2206: [(638, 0.5),\n",
" (672, 0.5),\n",
" (681, 0.25),\n",
" (719, 0.25),\n",
" (736, 1.0),\n",
" (994, 0.25),\n",
" (1100, 0.3333333333333333),\n",
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" 2258: [(79, 1.0),\n",
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" 2274: [(841, 0.3333333333333333),\n",
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" (3171, 0.0392156862745098)],\n",
" 2289: [(276, 1.0),\n",
" (352, 0.3333333333333333),\n",
" (511, 0.5),\n",
" (719, 0.25),\n",
" (854, 1.0),\n",
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" 2293: [(673, 0.3333333333333333),\n",
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" 2604: [(446, 0.5),\n",
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" 2631: [(651, 1.0),\n",
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" 2639: [(10, 0.25),\n",
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" 2663: [(469, 1.0),\n",
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" 2670: [(10, 0.5),\n",
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" 2676: [(900, 1.0),\n",
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" 2704: [(10, 0.5),\n",
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" 2722: [(681, 0.25),\n",
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" 2732: [(2696, 0.009433962264150943),\n",
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" 2766: [(55, 1.0),\n",
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" 2814: [(67, 1.0),\n",
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" 2820: [(900, 1.0),\n",
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" 2827: [(10, 0.25),\n",
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" 2828: [(144, 0.25),\n",
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" 2842: [(141, 1.0),\n",
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" 2857: [(621, 1.0),\n",
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" 2934: [(198, 0.5),\n",
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" 2940: [(144, 0.25),\n",
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" (3147, 0.00963855421686747)],\n",
" 2998: [(431, 1.0),\n",
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" (3173, 0.03296703296703297)],\n",
" 3009: [(10, 0.25),\n",
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" (3147, 0.004819277108433735)],\n",
" 3014: [(89, 1.0),\n",
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" 3026: [(174, 0.5),\n",
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" 3034: [(669, 1.0),\n",
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" 3055: [(2696, 0.0023584905660377358),\n",
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" 3097: [(2696, 0.0023584905660377358),\n",
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" (3173, 0.027472527472527472)],\n",
" 3122: [(10, 0.5),\n",
" (150, 0.5),\n",
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" 3127: [(162, 1.0),\n",
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" (3171, 0.0784313725490196)],\n",
" 3144: [(551, 1.0),\n",
" (901, 1.0),\n",
" (1129, 1.0),\n",
" (1649, 1.0),\n",
" (1792, 1.0),\n",
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" (3147, 0.004819277108433735)],\n",
" 3147: [(415, 1.0),\n",
" (651, 1.0),\n",
" (681, 0.25),\n",
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" (3147, 0.021686746987951807)],\n",
" 3173: [(37, 1.0),\n",
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" 3191: [(453, 0.16666666666666666),\n",
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" 3199: [(681, 0.25),\n",
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" 3259: [(621, 1.0),\n",
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" 3267: [(10, 0.25),\n",
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" 3294: [(10, 0.5),\n",
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" 3317: [(900, 1.0),\n",
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" 3323: [(681, 0.25),\n",
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" 3367: [(669, 1.0), (900, 1.0)],\n",
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" 3403: [(144, 0.25),\n",
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" 3451: [(719, 0.25),\n",
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" 3453: [(469, 1.0),\n",
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" 3797: [(741, 1.0), (900, 1.0)],\n",
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" 3837: [(27, 1.0),\n",
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" 3887: [(484, 1.0),\n",
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" 3891: [(10, 0.25),\n",
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" 4073: [(525, 1.0),\n",
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" 4119: [(551, 1.0),\n",
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" 4122: [(2696, 0.0023584905660377358),\n",
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" 4150: [(710, 1.0),\n",
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" 4157: [(900, 1.0),\n",
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" 4178: [(162, 1.0),\n",
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" 4211: [(354, 1.0),\n",
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" 4227: [(900, 1.0),\n",
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" 4238: [(900, 1.0),\n",
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" 4268: [(153, 0.5),\n",
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" 4712: [(348, 1.0),\n",
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" 4724: [(469, 1.0),\n",
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" 4742: [(277, 1.0),\n",
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" 4766: [(8, 1.0),\n",
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" 4887: [(37, 1.0),\n",
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" 4974: [(72, 1.0),\n",
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" 4996: [(2696, 0.0023584905660377358),\n",
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" 5016: [(144, 0.25),\n",
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" 5017: [(741, 1.0),\n",
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" 5409: [(741, 1.0),\n",
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" 5810: [(158, 1.0),\n",
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" 5817: [(453, 0.16666666666666666),\n",
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" 5833: [(418, 1.0),\n",
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" 6006: [(91, 1.0),\n",
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" 6024: [(144, 0.5),\n",
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" (2558, 0.2857142857142857),\n",
" (2
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