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Jensen-holm
/
Nigl

Tabular Classification
PyTorch
Model card Files Community
Jensen-holm commited on
Commit
709eec8
•
1 Parent(s): dd0de3f

adding the points allowed column to the aggregated metrics

Browse files
Files changed (1) hide show
  1. src/mens_pre_processing.ipynb +125 -124
src/mens_pre_processing.ipynb CHANGED
@@ -201,6 +201,7 @@
201
  " \"Stl\", # steals\n",
202
  " \"Blk\", # blocks\n",
203
  " \"PF\", # personal fouls\n",
 
204
  "]\n",
205
  "\n",
206
  "agg_funcs = [\n",
@@ -286,9 +287,9 @@
286
  "text": [
287
  "<class 'pandas.core.frame.DataFrame'>\n",
288
  "Int64Index: 7605 entries, 0 to 7604\n",
289
- "Columns: 200 entries, TeamID to reg_PF_std\n",
290
- "dtypes: float64(81), int64(119)\n",
291
- "memory usage: 11.7 MB\n"
292
  ]
293
  }
294
  ],
@@ -309,9 +310,9 @@
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  "text": [
310
  "<class 'pandas.core.frame.DataFrame'>\n",
311
  "Int64Index: 664 entries, 0 to 663\n",
312
- "Columns: 200 entries, TeamID to tourney_PF_std\n",
313
- "dtypes: float64(81), int64(119)\n",
314
- "memory usage: 1.0 MB\n"
315
  ]
316
  }
317
  ],
@@ -323,7 +324,7 @@
323
  },
324
  {
325
  "cell_type": "code",
326
- "execution_count": 13,
327
  "metadata": {},
328
  "outputs": [
329
  {
@@ -358,16 +359,16 @@
358
  " <th>reg_WFGA_min</th>\n",
359
  " <th>reg_WFGA_max</th>\n",
360
  " <th>...</th>\n",
361
- " <th>tourney_Blk_sum</th>\n",
362
- " <th>tourney_Blk_min</th>\n",
363
- " <th>tourney_Blk_max</th>\n",
364
- " <th>tourney_Blk_median</th>\n",
365
- " <th>tourney_Blk_std</th>\n",
366
  " <th>tourney_PF_sum</th>\n",
367
  " <th>tourney_PF_min</th>\n",
368
  " <th>tourney_PF_max</th>\n",
369
  " <th>tourney_PF_median</th>\n",
370
  " <th>tourney_PF_std</th>\n",
 
 
 
 
 
371
  " </tr>\n",
372
  " </thead>\n",
373
  " <tbody>\n",
@@ -384,16 +385,16 @@
384
  " <td>45</td>\n",
385
  " <td>71</td>\n",
386
  " <td>...</td>\n",
387
- " <td>3</td>\n",
388
- " <td>3</td>\n",
389
- " <td>3</td>\n",
390
- " <td>3.0</td>\n",
391
- " <td>0.0</td>\n",
392
  " <td>16</td>\n",
393
  " <td>16</td>\n",
394
  " <td>16</td>\n",
395
  " <td>16.0</td>\n",
396
  " <td>0.0</td>\n",
 
 
 
 
 
397
  " </tr>\n",
398
  " <tr>\n",
399
  " <th>1</th>\n",
@@ -408,16 +409,16 @@
408
  " <td>44</td>\n",
409
  " <td>75</td>\n",
410
  " <td>...</td>\n",
411
- " <td>2</td>\n",
412
- " <td>2</td>\n",
413
- " <td>2</td>\n",
414
- " <td>2.0</td>\n",
415
- " <td>0.0</td>\n",
416
  " <td>15</td>\n",
417
  " <td>15</td>\n",
418
  " <td>15</td>\n",
419
  " <td>15.0</td>\n",
420
  " <td>0.0</td>\n",
 
 
 
 
 
421
  " </tr>\n",
422
  " <tr>\n",
423
  " <th>2</th>\n",
@@ -432,16 +433,16 @@
432
  " <td>42</td>\n",
433
  " <td>65</td>\n",
434
  " <td>...</td>\n",
435
- " <td>2</td>\n",
436
- " <td>2</td>\n",
437
- " <td>2</td>\n",
438
- " <td>2.0</td>\n",
439
- " <td>0.0</td>\n",
440
  " <td>15</td>\n",
441
  " <td>15</td>\n",
442
  " <td>15</td>\n",
443
  " <td>15.0</td>\n",
444
  " <td>0.0</td>\n",
 
 
 
 
 
445
  " </tr>\n",
446
  " <tr>\n",
447
  " <th>3</th>\n",
@@ -456,16 +457,16 @@
456
  " <td>47</td>\n",
457
  " <td>63</td>\n",
458
  " <td>...</td>\n",
459
- " <td>1</td>\n",
460
- " <td>1</td>\n",
461
- " <td>1</td>\n",
462
- " <td>1.0</td>\n",
463
- " <td>0.0</td>\n",
464
  " <td>13</td>\n",
465
  " <td>13</td>\n",
466
  " <td>13</td>\n",
467
  " <td>13.0</td>\n",
468
  " <td>0.0</td>\n",
 
 
 
 
 
469
  " </tr>\n",
470
  " <tr>\n",
471
  " <th>4</th>\n",
@@ -480,20 +481,20 @@
480
  " <td>51</td>\n",
481
  " <td>77</td>\n",
482
  " <td>...</td>\n",
483
- " <td>1</td>\n",
484
- " <td>1</td>\n",
485
- " <td>1</td>\n",
486
- " <td>1.0</td>\n",
487
- " <td>0.0</td>\n",
488
  " <td>23</td>\n",
489
  " <td>23</td>\n",
490
  " <td>23</td>\n",
491
  " <td>23.0</td>\n",
492
  " <td>0.0</td>\n",
 
 
 
 
 
493
  " </tr>\n",
494
  " </tbody>\n",
495
  "</table>\n",
496
- "<p>5 rows × 398 columns</p>\n",
497
  "</div>"
498
  ],
499
  "text/plain": [
@@ -511,31 +512,31 @@
511
  "3 4.161927 1047 47 63 ... \n",
512
  "4 4.141518 1569 51 77 ... \n",
513
  "\n",
514
- " tourney_Blk_sum tourney_Blk_min tourney_Blk_max tourney_Blk_median \\\n",
515
- "0 3 3 3 3.0 \n",
516
- "1 2 2 2 2.0 \n",
517
- "2 2 2 2 2.0 \n",
518
- "3 1 1 1 1.0 \n",
519
- "4 1 1 1 1.0 \n",
520
  "\n",
521
- " tourney_Blk_std tourney_PF_sum tourney_PF_min tourney_PF_max \\\n",
522
- "0 0.0 16 16 16 \n",
523
- "1 0.0 15 15 15 \n",
524
- "2 0.0 15 15 15 \n",
525
- "3 0.0 13 13 13 \n",
526
- "4 0.0 23 23 23 \n",
527
  "\n",
528
- " tourney_PF_median tourney_PF_std \n",
529
- "0 16.0 0.0 \n",
530
- "1 15.0 0.0 \n",
531
- "2 15.0 0.0 \n",
532
- "3 13.0 0.0 \n",
533
- "4 23.0 0.0 \n",
534
  "\n",
535
- "[5 rows x 398 columns]"
536
  ]
537
  },
538
- "execution_count": 13,
539
  "metadata": {},
540
  "output_type": "execute_result"
541
  }
@@ -573,7 +574,7 @@
573
  },
574
  {
575
  "cell_type": "code",
576
- "execution_count": 16,
577
  "metadata": {},
578
  "outputs": [],
579
  "source": [
@@ -598,7 +599,7 @@
598
  },
599
  {
600
  "cell_type": "code",
601
- "execution_count": 18,
602
  "metadata": {},
603
  "outputs": [
604
  {
@@ -607,9 +608,9 @@
607
  "text": [
608
  "<class 'pandas.core.frame.DataFrame'>\n",
609
  "Int64Index: 661 entries, 0 to 660\n",
610
- "Columns: 403 entries, TeamID to Seed\n",
611
- "dtypes: float64(162), int64(238), object(3)\n",
612
- "memory usage: 2.0+ MB\n"
613
  ]
614
  }
615
  ],
@@ -619,7 +620,7 @@
619
  },
620
  {
621
  "cell_type": "code",
622
- "execution_count": 19,
623
  "metadata": {},
624
  "outputs": [
625
  {
@@ -654,11 +655,11 @@
654
  " <th>reg_WFGA_min</th>\n",
655
  " <th>reg_WFGA_max</th>\n",
656
  " <th>...</th>\n",
657
- " <th>tourney_PF_sum</th>\n",
658
- " <th>tourney_PF_min</th>\n",
659
- " <th>tourney_PF_max</th>\n",
660
- " <th>tourney_PF_median</th>\n",
661
- " <th>tourney_PF_std</th>\n",
662
  " <th>TeamName</th>\n",
663
  " <th>FirstD1Season</th>\n",
664
  " <th>LastD1Season</th>\n",
@@ -680,10 +681,10 @@
680
  " <td>45</td>\n",
681
  " <td>71</td>\n",
682
  " <td>...</td>\n",
683
- " <td>16</td>\n",
684
- " <td>16</td>\n",
685
- " <td>16</td>\n",
686
- " <td>16.0</td>\n",
687
  " <td>0.0</td>\n",
688
  " <td>Abilene Chr</td>\n",
689
  " <td>2014</td>\n",
@@ -704,10 +705,10 @@
704
  " <td>44</td>\n",
705
  " <td>75</td>\n",
706
  " <td>...</td>\n",
707
- " <td>15</td>\n",
708
- " <td>15</td>\n",
709
- " <td>15</td>\n",
710
- " <td>15.0</td>\n",
711
  " <td>0.0</td>\n",
712
  " <td>Alabama</td>\n",
713
  " <td>1985</td>\n",
@@ -728,10 +729,10 @@
728
  " <td>42</td>\n",
729
  " <td>65</td>\n",
730
  " <td>...</td>\n",
731
- " <td>15</td>\n",
732
- " <td>15</td>\n",
733
- " <td>15</td>\n",
734
- " <td>15.0</td>\n",
735
  " <td>0.0</td>\n",
736
  " <td>Alabama</td>\n",
737
  " <td>1985</td>\n",
@@ -752,10 +753,10 @@
752
  " <td>47</td>\n",
753
  " <td>63</td>\n",
754
  " <td>...</td>\n",
755
- " <td>13</td>\n",
756
- " <td>13</td>\n",
757
- " <td>13</td>\n",
758
- " <td>13.0</td>\n",
759
  " <td>0.0</td>\n",
760
  " <td>Alabama</td>\n",
761
  " <td>1985</td>\n",
@@ -776,10 +777,10 @@
776
  " <td>51</td>\n",
777
  " <td>77</td>\n",
778
  " <td>...</td>\n",
779
- " <td>23</td>\n",
780
- " <td>23</td>\n",
781
- " <td>23</td>\n",
782
- " <td>23.0</td>\n",
783
  " <td>0.0</td>\n",
784
  " <td>Alabama</td>\n",
785
  " <td>1985</td>\n",
@@ -824,10 +825,10 @@
824
  " <td>50</td>\n",
825
  " <td>66</td>\n",
826
  " <td>...</td>\n",
827
- " <td>23</td>\n",
828
- " <td>23</td>\n",
829
- " <td>23</td>\n",
830
- " <td>23.0</td>\n",
831
  " <td>0.0</td>\n",
832
  " <td>Xavier</td>\n",
833
  " <td>1985</td>\n",
@@ -848,10 +849,10 @@
848
  " <td>43</td>\n",
849
  " <td>70</td>\n",
850
  " <td>...</td>\n",
851
- " <td>8</td>\n",
852
- " <td>8</td>\n",
853
- " <td>8</td>\n",
854
- " <td>8.0</td>\n",
855
  " <td>0.0</td>\n",
856
  " <td>Xavier</td>\n",
857
  " <td>1985</td>\n",
@@ -872,10 +873,10 @@
872
  " <td>48</td>\n",
873
  " <td>71</td>\n",
874
  " <td>...</td>\n",
875
- " <td>24</td>\n",
876
- " <td>24</td>\n",
877
- " <td>24</td>\n",
878
- " <td>24.0</td>\n",
879
  " <td>0.0</td>\n",
880
  " <td>Xavier</td>\n",
881
  " <td>1985</td>\n",
@@ -896,10 +897,10 @@
896
  " <td>50</td>\n",
897
  " <td>71</td>\n",
898
  " <td>...</td>\n",
899
- " <td>7</td>\n",
900
- " <td>7</td>\n",
901
- " <td>7</td>\n",
902
- " <td>7.0</td>\n",
903
  " <td>0.0</td>\n",
904
  " <td>Xavier</td>\n",
905
  " <td>1985</td>\n",
@@ -920,10 +921,10 @@
920
  " <td>39</td>\n",
921
  " <td>66</td>\n",
922
  " <td>...</td>\n",
923
- " <td>21</td>\n",
924
- " <td>21</td>\n",
925
- " <td>21</td>\n",
926
- " <td>21.0</td>\n",
927
  " <td>0.0</td>\n",
928
  " <td>Yale</td>\n",
929
  " <td>1985</td>\n",
@@ -933,7 +934,7 @@
933
  " </tr>\n",
934
  " </tbody>\n",
935
  "</table>\n",
936
- "<p>661 rows × 403 columns</p>\n",
937
  "</div>"
938
  ],
939
  "text/plain": [
@@ -963,20 +964,20 @@
963
  "659 31.0 3.427827 1541 50 71 \n",
964
  "660 27.0 3.609511 1170 39 66 \n",
965
  "\n",
966
- " ... tourney_PF_sum tourney_PF_min tourney_PF_max tourney_PF_median \\\n",
967
- "0 ... 16 16 16 16.0 \n",
968
- "1 ... 15 15 15 15.0 \n",
969
- "2 ... 15 15 15 15.0 \n",
970
- "3 ... 13 13 13 13.0 \n",
971
- "4 ... 23 23 23 23.0 \n",
972
  ".. ... ... ... ... ... \n",
973
- "656 ... 23 23 23 23.0 \n",
974
- "657 ... 8 8 8 8.0 \n",
975
- "658 ... 24 24 24 24.0 \n",
976
- "659 ... 7 7 7 7.0 \n",
977
- "660 ... 21 21 21 21.0 \n",
978
  "\n",
979
- " tourney_PF_std TeamName FirstD1Season LastD1Season ConfAbbrev \\\n",
980
  "0 0.0 Abilene Chr 2014 2024 southland \n",
981
  "1 0.0 Alabama 1985 2024 sec \n",
982
  "2 0.0 Alabama 1985 2024 sec \n",
@@ -1002,10 +1003,10 @@
1002
  "659 Y03 \n",
1003
  "660 Z12 \n",
1004
  "\n",
1005
- "[661 rows x 403 columns]"
1006
  ]
1007
  },
1008
- "execution_count": 19,
1009
  "metadata": {},
1010
  "output_type": "execute_result"
1011
  }
 
201
  " \"Stl\", # steals\n",
202
  " \"Blk\", # blocks\n",
203
  " \"PF\", # personal fouls\n",
204
+ " \"PA\", # points allowed\n",
205
  "]\n",
206
  "\n",
207
  "agg_funcs = [\n",
 
287
  "text": [
288
  "<class 'pandas.core.frame.DataFrame'>\n",
289
  "Int64Index: 7605 entries, 0 to 7604\n",
290
+ "Columns: 215 entries, TeamID to reg_PA_std\n",
291
+ "dtypes: float64(87), int64(128)\n",
292
+ "memory usage: 12.5 MB\n"
293
  ]
294
  }
295
  ],
 
310
  "text": [
311
  "<class 'pandas.core.frame.DataFrame'>\n",
312
  "Int64Index: 664 entries, 0 to 663\n",
313
+ "Columns: 215 entries, TeamID to tourney_PA_std\n",
314
+ "dtypes: float64(87), int64(128)\n",
315
+ "memory usage: 1.1 MB\n"
316
  ]
317
  }
318
  ],
 
324
  },
325
  {
326
  "cell_type": "code",
327
+ "execution_count": 9,
328
  "metadata": {},
329
  "outputs": [
330
  {
 
359
  " <th>reg_WFGA_min</th>\n",
360
  " <th>reg_WFGA_max</th>\n",
361
  " <th>...</th>\n",
 
 
 
 
 
362
  " <th>tourney_PF_sum</th>\n",
363
  " <th>tourney_PF_min</th>\n",
364
  " <th>tourney_PF_max</th>\n",
365
  " <th>tourney_PF_median</th>\n",
366
  " <th>tourney_PF_std</th>\n",
367
+ " <th>tourney_PA_sum</th>\n",
368
+ " <th>tourney_PA_min</th>\n",
369
+ " <th>tourney_PA_max</th>\n",
370
+ " <th>tourney_PA_median</th>\n",
371
+ " <th>tourney_PA_std</th>\n",
372
  " </tr>\n",
373
  " </thead>\n",
374
  " <tbody>\n",
 
385
  " <td>45</td>\n",
386
  " <td>71</td>\n",
387
  " <td>...</td>\n",
 
 
 
 
 
388
  " <td>16</td>\n",
389
  " <td>16</td>\n",
390
  " <td>16</td>\n",
391
  " <td>16.0</td>\n",
392
  " <td>0.0</td>\n",
393
+ " <td>79</td>\n",
394
+ " <td>79</td>\n",
395
+ " <td>79</td>\n",
396
+ " <td>79.0</td>\n",
397
+ " <td>0.0</td>\n",
398
  " </tr>\n",
399
  " <tr>\n",
400
  " <th>1</th>\n",
 
409
  " <td>44</td>\n",
410
  " <td>75</td>\n",
411
  " <td>...</td>\n",
 
 
 
 
 
412
  " <td>15</td>\n",
413
  " <td>15</td>\n",
414
  " <td>15</td>\n",
415
  " <td>15.0</td>\n",
416
  " <td>0.0</td>\n",
417
+ " <td>67</td>\n",
418
+ " <td>67</td>\n",
419
+ " <td>67</td>\n",
420
+ " <td>67.0</td>\n",
421
+ " <td>0.0</td>\n",
422
  " </tr>\n",
423
  " <tr>\n",
424
  " <th>2</th>\n",
 
433
  " <td>42</td>\n",
434
  " <td>65</td>\n",
435
  " <td>...</td>\n",
 
 
 
 
 
436
  " <td>15</td>\n",
437
  " <td>15</td>\n",
438
  " <td>15</td>\n",
439
  " <td>15.0</td>\n",
440
  " <td>0.0</td>\n",
441
+ " <td>63</td>\n",
442
+ " <td>63</td>\n",
443
+ " <td>63</td>\n",
444
+ " <td>63.0</td>\n",
445
+ " <td>0.0</td>\n",
446
  " </tr>\n",
447
  " <tr>\n",
448
  " <th>3</th>\n",
 
457
  " <td>47</td>\n",
458
  " <td>63</td>\n",
459
  " <td>...</td>\n",
 
 
 
 
 
460
  " <td>13</td>\n",
461
  " <td>13</td>\n",
462
  " <td>13</td>\n",
463
  " <td>13.0</td>\n",
464
  " <td>0.0</td>\n",
465
+ " <td>78</td>\n",
466
+ " <td>78</td>\n",
467
+ " <td>78</td>\n",
468
+ " <td>78.0</td>\n",
469
+ " <td>0.0</td>\n",
470
  " </tr>\n",
471
  " <tr>\n",
472
  " <th>4</th>\n",
 
481
  " <td>51</td>\n",
482
  " <td>77</td>\n",
483
  " <td>...</td>\n",
 
 
 
 
 
484
  " <td>23</td>\n",
485
  " <td>23</td>\n",
486
  " <td>23</td>\n",
487
  " <td>23.0</td>\n",
488
  " <td>0.0</td>\n",
489
+ " <td>77</td>\n",
490
+ " <td>77</td>\n",
491
+ " <td>77</td>\n",
492
+ " <td>77.0</td>\n",
493
+ " <td>0.0</td>\n",
494
  " </tr>\n",
495
  " </tbody>\n",
496
  "</table>\n",
497
+ "<p>5 rows × 428 columns</p>\n",
498
  "</div>"
499
  ],
500
  "text/plain": [
 
512
  "3 4.161927 1047 47 63 ... \n",
513
  "4 4.141518 1569 51 77 ... \n",
514
  "\n",
515
+ " tourney_PF_sum tourney_PF_min tourney_PF_max tourney_PF_median \\\n",
516
+ "0 16 16 16 16.0 \n",
517
+ "1 15 15 15 15.0 \n",
518
+ "2 15 15 15 15.0 \n",
519
+ "3 13 13 13 13.0 \n",
520
+ "4 23 23 23 23.0 \n",
521
  "\n",
522
+ " tourney_PF_std tourney_PA_sum tourney_PA_min tourney_PA_max \\\n",
523
+ "0 0.0 79 79 79 \n",
524
+ "1 0.0 67 67 67 \n",
525
+ "2 0.0 63 63 63 \n",
526
+ "3 0.0 78 78 78 \n",
527
+ "4 0.0 77 77 77 \n",
528
  "\n",
529
+ " tourney_PA_median tourney_PA_std \n",
530
+ "0 79.0 0.0 \n",
531
+ "1 67.0 0.0 \n",
532
+ "2 63.0 0.0 \n",
533
+ "3 78.0 0.0 \n",
534
+ "4 77.0 0.0 \n",
535
  "\n",
536
+ "[5 rows x 428 columns]"
537
  ]
538
  },
539
+ "execution_count": 9,
540
  "metadata": {},
541
  "output_type": "execute_result"
542
  }
 
574
  },
575
  {
576
  "cell_type": "code",
577
+ "execution_count": 11,
578
  "metadata": {},
579
  "outputs": [],
580
  "source": [
 
599
  },
600
  {
601
  "cell_type": "code",
602
+ "execution_count": 12,
603
  "metadata": {},
604
  "outputs": [
605
  {
 
608
  "text": [
609
  "<class 'pandas.core.frame.DataFrame'>\n",
610
  "Int64Index: 661 entries, 0 to 660\n",
611
+ "Columns: 433 entries, TeamID to Seed\n",
612
+ "dtypes: float64(174), int64(256), object(3)\n",
613
+ "memory usage: 2.2+ MB\n"
614
  ]
615
  }
616
  ],
 
620
  },
621
  {
622
  "cell_type": "code",
623
+ "execution_count": 13,
624
  "metadata": {},
625
  "outputs": [
626
  {
 
655
  " <th>reg_WFGA_min</th>\n",
656
  " <th>reg_WFGA_max</th>\n",
657
  " <th>...</th>\n",
658
+ " <th>tourney_PA_sum</th>\n",
659
+ " <th>tourney_PA_min</th>\n",
660
+ " <th>tourney_PA_max</th>\n",
661
+ " <th>tourney_PA_median</th>\n",
662
+ " <th>tourney_PA_std</th>\n",
663
  " <th>TeamName</th>\n",
664
  " <th>FirstD1Season</th>\n",
665
  " <th>LastD1Season</th>\n",
 
681
  " <td>45</td>\n",
682
  " <td>71</td>\n",
683
  " <td>...</td>\n",
684
+ " <td>79</td>\n",
685
+ " <td>79</td>\n",
686
+ " <td>79</td>\n",
687
+ " <td>79.0</td>\n",
688
  " <td>0.0</td>\n",
689
  " <td>Abilene Chr</td>\n",
690
  " <td>2014</td>\n",
 
705
  " <td>44</td>\n",
706
  " <td>75</td>\n",
707
  " <td>...</td>\n",
708
+ " <td>67</td>\n",
709
+ " <td>67</td>\n",
710
+ " <td>67</td>\n",
711
+ " <td>67.0</td>\n",
712
  " <td>0.0</td>\n",
713
  " <td>Alabama</td>\n",
714
  " <td>1985</td>\n",
 
729
  " <td>42</td>\n",
730
  " <td>65</td>\n",
731
  " <td>...</td>\n",
732
+ " <td>63</td>\n",
733
+ " <td>63</td>\n",
734
+ " <td>63</td>\n",
735
+ " <td>63.0</td>\n",
736
  " <td>0.0</td>\n",
737
  " <td>Alabama</td>\n",
738
  " <td>1985</td>\n",
 
753
  " <td>47</td>\n",
754
  " <td>63</td>\n",
755
  " <td>...</td>\n",
756
+ " <td>78</td>\n",
757
+ " <td>78</td>\n",
758
+ " <td>78</td>\n",
759
+ " <td>78.0</td>\n",
760
  " <td>0.0</td>\n",
761
  " <td>Alabama</td>\n",
762
  " <td>1985</td>\n",
 
777
  " <td>51</td>\n",
778
  " <td>77</td>\n",
779
  " <td>...</td>\n",
780
+ " <td>77</td>\n",
781
+ " <td>77</td>\n",
782
+ " <td>77</td>\n",
783
+ " <td>77.0</td>\n",
784
  " <td>0.0</td>\n",
785
  " <td>Alabama</td>\n",
786
  " <td>1985</td>\n",
 
825
  " <td>50</td>\n",
826
  " <td>66</td>\n",
827
  " <td>...</td>\n",
828
+ " <td>85</td>\n",
829
+ " <td>85</td>\n",
830
+ " <td>85</td>\n",
831
+ " <td>85.0</td>\n",
832
  " <td>0.0</td>\n",
833
  " <td>Xavier</td>\n",
834
  " <td>1985</td>\n",
 
849
  " <td>43</td>\n",
850
  " <td>70</td>\n",
851
  " <td>...</td>\n",
852
+ " <td>90</td>\n",
853
+ " <td>90</td>\n",
854
+ " <td>90</td>\n",
855
+ " <td>90.0</td>\n",
856
  " <td>0.0</td>\n",
857
  " <td>Xavier</td>\n",
858
  " <td>1985</td>\n",
 
873
  " <td>48</td>\n",
874
  " <td>71</td>\n",
875
  " <td>...</td>\n",
876
+ " <td>70</td>\n",
877
+ " <td>70</td>\n",
878
+ " <td>70</td>\n",
879
+ " <td>70.0</td>\n",
880
  " <td>0.0</td>\n",
881
  " <td>Xavier</td>\n",
882
  " <td>1985</td>\n",
 
897
  " <td>50</td>\n",
898
  " <td>71</td>\n",
899
  " <td>...</td>\n",
900
+ " <td>68</td>\n",
901
+ " <td>68</td>\n",
902
+ " <td>68</td>\n",
903
+ " <td>68.0</td>\n",
904
  " <td>0.0</td>\n",
905
  " <td>Xavier</td>\n",
906
  " <td>1985</td>\n",
 
921
  " <td>39</td>\n",
922
  " <td>66</td>\n",
923
  " <td>...</td>\n",
924
+ " <td>84</td>\n",
925
+ " <td>84</td>\n",
926
+ " <td>84</td>\n",
927
+ " <td>84.0</td>\n",
928
  " <td>0.0</td>\n",
929
  " <td>Yale</td>\n",
930
  " <td>1985</td>\n",
 
934
  " </tr>\n",
935
  " </tbody>\n",
936
  "</table>\n",
937
+ "<p>661 rows × 433 columns</p>\n",
938
  "</div>"
939
  ],
940
  "text/plain": [
 
964
  "659 31.0 3.427827 1541 50 71 \n",
965
  "660 27.0 3.609511 1170 39 66 \n",
966
  "\n",
967
+ " ... tourney_PA_sum tourney_PA_min tourney_PA_max tourney_PA_median \\\n",
968
+ "0 ... 79 79 79 79.0 \n",
969
+ "1 ... 67 67 67 67.0 \n",
970
+ "2 ... 63 63 63 63.0 \n",
971
+ "3 ... 78 78 78 78.0 \n",
972
+ "4 ... 77 77 77 77.0 \n",
973
  ".. ... ... ... ... ... \n",
974
+ "656 ... 85 85 85 85.0 \n",
975
+ "657 ... 90 90 90 90.0 \n",
976
+ "658 ... 70 70 70 70.0 \n",
977
+ "659 ... 68 68 68 68.0 \n",
978
+ "660 ... 84 84 84 84.0 \n",
979
  "\n",
980
+ " tourney_PA_std TeamName FirstD1Season LastD1Season ConfAbbrev \\\n",
981
  "0 0.0 Abilene Chr 2014 2024 southland \n",
982
  "1 0.0 Alabama 1985 2024 sec \n",
983
  "2 0.0 Alabama 1985 2024 sec \n",
 
1003
  "659 Y03 \n",
1004
  "660 Z12 \n",
1005
  "\n",
1006
+ "[661 rows x 433 columns]"
1007
  ]
1008
  },
1009
+ "execution_count": 13,
1010
  "metadata": {},
1011
  "output_type": "execute_result"
1012
  }