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NHL_DFS_Optimizer
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Multichem commited on
Commit
d51f586
·
1 Parent(s): ff49440

Update app.py

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Files changed (1) hide show
  1. app.py +62 -114
app.py CHANGED
@@ -291,83 +291,35 @@ with tab2:
291
 
292
  for flex in flex_file['Position'].unique():
293
  sub_idx = flex_file[flex_file['Position'] != "Var"].index
294
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == 10
295
 
296
  for flex in flex_file['Position'].unique():
297
- sub_idx = flex_file[flex_file['Position'].str.contains("SP")].index
298
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == 2
299
 
300
  for flex in flex_file['Position'].unique():
301
  sub_idx = flex_file[flex_file['Position'] == "C"].index
302
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 1
303
-
304
- for flex in flex_file['Position'].unique():
305
- sub_idx = flex_file[flex_file['Position'] == "1B"].index
306
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 1
307
-
308
- for flex in flex_file['Position'].unique():
309
- sub_idx = flex_file[flex_file['Position'] == "2B"].index
310
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 1
311
-
312
- for flex in flex_file['Position'].unique():
313
- sub_idx = flex_file[flex_file['Position'] == "3B"].index
314
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 1
315
-
316
- for flex in flex_file['Position'].unique():
317
- sub_idx = flex_file[flex_file['Position'] == "SS"].index
318
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 1
319
-
320
- for flex in flex_file['Position'].unique():
321
- sub_idx = flex_file[flex_file['Position'] == "OF"].index
322
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 3
323
-
324
- for flex in flex_file['Position'].unique():
325
- sub_idx = flex_file[flex_file['Position'].str.contains("C")].index
326
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 1
327
-
328
- for flex in flex_file['Position'].unique():
329
- sub_idx = flex_file[flex_file['Position'].str.contains("1B")].index
330
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 1
331
-
332
- for flex in flex_file['Position'].unique():
333
- sub_idx = flex_file[flex_file['Position'].str.contains("2B")].index
334
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 1
335
 
336
  for flex in flex_file['Position'].unique():
337
- sub_idx = flex_file[flex_file['Position'].str.contains("3B")].index
338
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 1
339
 
340
  for flex in flex_file['Position'].unique():
341
- sub_idx = flex_file[flex_file['Position'].str.contains("SS")].index
342
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 1
343
 
344
  for flex in flex_file['Position'].unique():
345
- sub_idx = flex_file[flex_file['Position'].str.contains("OF")].index
346
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 3
347
 
348
  for flex in flex_file['Position'].unique():
349
- sub_idx = flex_file[(flex_file['Position'] == "SS") | (flex_file['Position'] == "3B")| (flex_file['Position'] == "3B/SS")].index
350
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 2
351
-
352
- for flex in flex_file['Position'].unique():
353
- sub_idx = flex_file[(flex_file['Position'] == "SS") | (flex_file['Position'] == "2B")| (flex_file['Position'] == "2B/SS")].index
354
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 2
355
-
356
- for flex in flex_file['Position'].unique():
357
- sub_idx = flex_file[(flex_file['Position'] == "2B") | (flex_file['Position'] == "3B")| (flex_file['Position'] == "2B/3B")].index
358
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 2
359
-
360
- for flex in flex_file['Position'].unique():
361
- sub_idx = flex_file[(flex_file['Position'] == "1B") | (flex_file['Position'] == "3B")| (flex_file['Position'] == "1B/3B")].index
362
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 2
363
-
364
- for flex in flex_file['Position'].unique():
365
- sub_idx = flex_file[(flex_file['Position'] == "1B") | (flex_file['Position'] == "C")| (flex_file['Position'] == "1B/C")].index
366
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 2
367
 
368
  for flex in flex_file['Position'].unique():
369
- sub_idx = flex_file[(flex_file['Position'] == "SS") | (flex_file['Position'] == "OF")| (flex_file['Position'] == "SS/OF")].index
370
- total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 4
371
 
372
  player_count = []
373
  player_trim = []
@@ -392,6 +344,7 @@ with tab2:
392
  df['Cost'] = df['Names'].map(player_sal)
393
  df['Proj'] = df['Names'].map(player_proj)
394
  df['Own'] = df['Names'].map(player_own)
 
395
  total_cost = sum(df['Cost'])
396
  total_own = sum(df['Own'])
397
  total_proj = sum(df['Proj'])
@@ -403,61 +356,56 @@ with tab2:
403
  del lineup_final[lineup_final.columns[1]]
404
  lineup_final = lineup_final.reset_index(drop=True)
405
 
406
- # if site_var1 == 'Draftkings':
407
- # line_hold = lineup_final[['Names']]
408
- # line_hold['pos'] = line_hold['Names'].map(player_pos)
409
-
410
- # for pname in range(0,len(line_hold)):
411
- # if line_hold.iat[pname,1] == 'QB':
412
- # if line_hold.iat[pname,0] not in p_used:
413
- # sorted_lineup.append(line_hold.iat[pname,0])
414
- # p_used.extend(sorted_lineup)
415
- # rbvar = 0
416
- # for pname in range(0,len(line_hold)):
417
- # if rbvar == 2:
418
- # pname = len(line_hold)
419
- # elif rbvar < 2:
420
- # if line_hold.iat[pname,1] == 'RB':
421
- # if line_hold.iat[pname,0] not in p_used:
422
- # sorted_lineup.append(line_hold.iat[pname,0])
423
- # rbvar = rbvar + 1
424
- # p_used.extend(sorted_lineup)
425
- # wrvar = 0
426
- # for pname in range(0,len(line_hold)):
427
- # if wrvar == 3:
428
- # pname = len(line_hold)
429
- # elif wrvar < 3:
430
- # if line_hold.iat[pname,1] == 'WR':
431
- # if line_hold.iat[pname,0] not in p_used:
432
- # sorted_lineup.append(line_hold.iat[pname,0])
433
- # wrvar = wrvar + 1
434
- # p_used.extend(sorted_lineup)
435
- # tevar = 0
436
- # for pname in range(0,len(line_hold)):
437
- # if tevar == 1:
438
- # pname = len(line_hold)
439
- # elif tevar < 1:
440
- # if line_hold.iat[pname,1] == 'TE':
441
- # if line_hold.iat[pname,0] not in p_used:
442
- # sorted_lineup.append(line_hold.iat[pname,0])
443
- # tevar = tevar + 1
444
- # p_used.extend(sorted_lineup)
445
 
446
- # for pname in range(0,len(line_hold)):
447
- # if line_hold.iat[pname,1] != 'DST':
448
- # if line_hold.iat[pname,0] not in p_used:
449
- # sorted_lineup.append(line_hold.iat[pname,0])
450
- # p_used.extend(sorted_lineup)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
451
 
452
- # for pname in range(0,len(line_hold)):
453
- # if line_hold.iat[pname,1] == 'DST':
454
- # if line_hold.iat[pname,0] not in p_used:
455
- # sorted_lineup.append(line_hold.iat[pname,0])
456
- # p_used.extend(sorted_lineup)
457
 
458
- # lineup_final['sorted'] = sorted_lineup
459
- # lineup_final = lineup_final.drop(columns=['Names'])
460
- # lineup_final.rename(columns={"sorted": "Names"}, inplace = True)
 
 
 
 
 
 
461
 
462
  # elif site_var1 == 'Fanduel':
463
  # line_hold = lineup_final[['Names']]
 
291
 
292
  for flex in flex_file['Position'].unique():
293
  sub_idx = flex_file[flex_file['Position'] != "Var"].index
294
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == 9
295
 
296
  for flex in flex_file['Position'].unique():
297
+ sub_idx = flex_file[flex_file['Position'].str.contains("G")].index
298
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) == 1
299
 
300
  for flex in flex_file['Position'].unique():
301
  sub_idx = flex_file[flex_file['Position'] == "C"].index
302
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
303
 
304
  for flex in flex_file['Position'].unique():
305
+ sub_idx = flex_file[flex_file['Position'].str.contains("W")].index
306
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 4
307
 
308
  for flex in flex_file['Position'].unique():
309
+ sub_idx = flex_file[flex_file['Position'] == "D"].index
310
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) <= 4
311
 
312
  for flex in flex_file['Position'].unique():
313
+ sub_idx = flex_file[flex_file['Position'] == "C"].index
314
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 2
315
 
316
  for flex in flex_file['Position'].unique():
317
+ sub_idx = flex_file[flex_file['Position'].str.contains("W")].index
318
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 2
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
319
 
320
  for flex in flex_file['Position'].unique():
321
+ sub_idx = flex_file[flex_file['Position'] == "D"].index
322
+ total_score += pulp.lpSum([player_vars[idx] for idx in sub_idx]) >= 2
323
 
324
  player_count = []
325
  player_trim = []
 
344
  df['Cost'] = df['Names'].map(player_sal)
345
  df['Proj'] = df['Names'].map(player_proj)
346
  df['Own'] = df['Names'].map(player_own)
347
+ df['Line'] = df['Names'].map(player_line)
348
  total_cost = sum(df['Cost'])
349
  total_own = sum(df['Own'])
350
  total_proj = sum(df['Proj'])
 
356
  del lineup_final[lineup_final.columns[1]]
357
  lineup_final = lineup_final.reset_index(drop=True)
358
 
359
+ if site_var1 == 'Draftkings':
360
+ line_hold = lineup_final[['Names']]
361
+ line_hold['pos'] = line_hold['Names'].map(player_pos)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
362
 
363
+ cvar = 0
364
+ for pname in range(0,len(line_hold)):
365
+ if cvar == 2:
366
+ pname = len(line_hold)
367
+ elif cvar < 2:
368
+ if line_hold.iat[pname,1].str.contains("C"):
369
+ if line_hold.iat[pname,0] not in p_used:
370
+ sorted_lineup.append(line_hold.iat[pname,0])
371
+ cvar = cvar + 1
372
+ p_used.extend(sorted_lineup)
373
+ wvar = 0
374
+ for pname in range(0,len(line_hold)):
375
+ if wvar == 3:
376
+ pname = len(line_hold)
377
+ elif wvar < 3:
378
+ if line_hold.iat[pname,1].str.contains("W"):
379
+ if line_hold.iat[pname,0] not in p_used:
380
+ sorted_lineup.append(line_hold.iat[pname,0])
381
+ wvar = wvar + 1
382
+ p_used.extend(sorted_lineup)
383
+ dvar = 0
384
+ for pname in range(0,len(line_hold)):
385
+ if dvar == 2:
386
+ pname = len(line_hold)
387
+ elif dvar < 2:
388
+ if line_hold.iat[pname,1].str.contains("D"):
389
+ if line_hold.iat[pname,0] not in p_used:
390
+ sorted_lineup.append(line_hold.iat[pname,0])
391
+ dvar = dvar + 1
392
+ p_used.extend(sorted_lineup)
393
 
394
+ for pname in range(0,len(line_hold)):
395
+ if line_hold.iat[pname,1] != 'G':
396
+ if line_hold.iat[pname,0] not in p_used:
397
+ sorted_lineup.append(line_hold.iat[pname,0])
398
+ p_used.extend(sorted_lineup)
399
 
400
+ for pname in range(0,len(line_hold)):
401
+ if line_hold.iat[pname,1] == 'G':
402
+ if line_hold.iat[pname,0] not in p_used:
403
+ sorted_lineup.append(line_hold.iat[pname,0])
404
+ p_used.extend(sorted_lineup)
405
+
406
+ lineup_final['sorted'] = sorted_lineup
407
+ lineup_final = lineup_final.drop(columns=['Names'])
408
+ lineup_final.rename(columns={"sorted": "Names"}, inplace = True)
409
 
410
  # elif site_var1 == 'Fanduel':
411
  # line_hold = lineup_final[['Names']]