Multichem commited on
Commit
532d846
·
1 Parent(s): 64890b0

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +8 -8
app.py CHANGED
@@ -138,8 +138,8 @@ with tab2:
138
  min_sal1 = st.number_input('Min Salary', min_value = 35000, max_value = 49900, value = 49000, step = 100, key='min_sal1')
139
  max_sal1 = st.number_input('Max Salary', min_value = 35000, max_value = 50000, value = 50000, step = 100, key='max_sal1')
140
  elif site_var1 == 'Fanduel':
141
- min_sal1 = st.number_input('Min Salary', min_value = 45000, max_value = 59900, value = 59000, step = 100, key='min_sal1')
142
- max_sal1 = st.number_input('Max Salary', min_value = 45000, max_value = 60000, value = 60000, step = 100, key='max_sal1')
143
  with col2:
144
  raw_baselines = raw_baselines[raw_baselines['Team'].isin(team_var1)]
145
  raw_baselines = raw_baselines[~raw_baselines['Player'].isin(avoid_var1)]
@@ -394,13 +394,13 @@ with tab2:
394
  p_used.extend(sorted_lineup)
395
 
396
  for pname in range(0,len(line_hold)):
397
- if line_hold.iat[pname,1] != 'G':
398
  if line_hold.iat[pname,0] not in p_used:
399
  sorted_lineup.append(line_hold.iat[pname,0])
400
  p_used.extend(sorted_lineup)
401
 
402
  for pname in range(0,len(line_hold)):
403
- if line_hold.iat[pname,1] == 'G':
404
  if line_hold.iat[pname,0] not in p_used:
405
  sorted_lineup.append(line_hold.iat[pname,0])
406
  p_used.extend(sorted_lineup)
@@ -491,7 +491,7 @@ with tab2:
491
  x += 1
492
 
493
  if site_var1 == 'Draftkings':
494
- portfolio.rename(columns={0: "C1", 1: "C2", 2: "W1", 3: "W2", 4: "W3", 5: "D1", 6: "D2", 7: "UTIL", 8: "G"}, inplace = True)
495
  elif site_var1 == 'Fanduel':
496
  portfolio.rename(columns={0: "C1", 1: "C2", 2: "W1", 3: "W2", 4: "D1", 5: "D2", 6: "UTIL1", 7: "UTIL2", 8: "G"}, inplace = True)
497
  portfolio = portfolio.dropna()
@@ -502,7 +502,7 @@ with tab2:
502
  portfolio = portfolio.drop(columns=['index'])
503
 
504
  if site_var1 == 'Draftkings':
505
- final_outcomes = portfolio[['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'UTIL', 'G', 'Cost', 'Proj', 'Own']]
506
 
507
  final_outcomes_export = pd.DataFrame()
508
  final_outcomes_export['C1'] = final_outcomes['C1']
@@ -512,8 +512,8 @@ with tab2:
512
  final_outcomes_export['W3'] = final_outcomes['W3']
513
  final_outcomes_export['D1'] = final_outcomes['D1']
514
  final_outcomes_export['D2'] = final_outcomes['D2']
515
- final_outcomes_export['UTIL'] = final_outcomes['UTIL']
516
  final_outcomes_export['G'] = final_outcomes['G']
 
517
  final_outcomes_export['Salary'] = final_outcomes['Cost']
518
  final_outcomes_export['Own'] = final_outcomes['Own']
519
  final_outcomes_export['Proj'] = final_outcomes['Proj']
@@ -525,8 +525,8 @@ with tab2:
525
  final_outcomes_export['W3'].replace(dkid_dict, inplace=True)
526
  final_outcomes_export['D1'].replace(dkid_dict, inplace=True)
527
  final_outcomes_export['D2'].replace(dkid_dict, inplace=True)
528
- final_outcomes_export['UTIL'].replace(dkid_dict, inplace=True)
529
  final_outcomes_export['G'].replace(dkid_dict, inplace=True)
 
530
  elif site_var1 == 'Fanduel':
531
  final_outcomes = portfolio[['C1', 'C2', 'W1', 'W2', 'D1', 'D2', 'UTIL1', 'UTIL2', 'G', 'Cost', 'Proj', 'Own']]
532
 
 
138
  min_sal1 = st.number_input('Min Salary', min_value = 35000, max_value = 49900, value = 49000, step = 100, key='min_sal1')
139
  max_sal1 = st.number_input('Max Salary', min_value = 35000, max_value = 50000, value = 50000, step = 100, key='max_sal1')
140
  elif site_var1 == 'Fanduel':
141
+ min_sal1 = st.number_input('Min Salary', min_value = 45000, max_value = 54900, value = 54000, step = 100, key='min_sal1')
142
+ max_sal1 = st.number_input('Max Salary', min_value = 45000, max_value = 55000, value = 55000, step = 100, key='max_sal1')
143
  with col2:
144
  raw_baselines = raw_baselines[raw_baselines['Team'].isin(team_var1)]
145
  raw_baselines = raw_baselines[~raw_baselines['Player'].isin(avoid_var1)]
 
394
  p_used.extend(sorted_lineup)
395
 
396
  for pname in range(0,len(line_hold)):
397
+ if line_hold.iat[pname,1] == 'G':
398
  if line_hold.iat[pname,0] not in p_used:
399
  sorted_lineup.append(line_hold.iat[pname,0])
400
  p_used.extend(sorted_lineup)
401
 
402
  for pname in range(0,len(line_hold)):
403
+ if line_hold.iat[pname,1] != 'G':
404
  if line_hold.iat[pname,0] not in p_used:
405
  sorted_lineup.append(line_hold.iat[pname,0])
406
  p_used.extend(sorted_lineup)
 
491
  x += 1
492
 
493
  if site_var1 == 'Draftkings':
494
+ portfolio.rename(columns={0: "C1", 1: "C2", 2: "W1", 3: "W2", 4: "W3", 5: "D1", 6: "D2", 7: "G", 8: "UTIL"}, inplace = True)
495
  elif site_var1 == 'Fanduel':
496
  portfolio.rename(columns={0: "C1", 1: "C2", 2: "W1", 3: "W2", 4: "D1", 5: "D2", 6: "UTIL1", 7: "UTIL2", 8: "G"}, inplace = True)
497
  portfolio = portfolio.dropna()
 
502
  portfolio = portfolio.drop(columns=['index'])
503
 
504
  if site_var1 == 'Draftkings':
505
+ final_outcomes = portfolio[['C1', 'C2', 'W1', 'W2', 'W3', 'D1', 'D2', 'G', 'UTIL', 'Cost', 'Proj', 'Own']]
506
 
507
  final_outcomes_export = pd.DataFrame()
508
  final_outcomes_export['C1'] = final_outcomes['C1']
 
512
  final_outcomes_export['W3'] = final_outcomes['W3']
513
  final_outcomes_export['D1'] = final_outcomes['D1']
514
  final_outcomes_export['D2'] = final_outcomes['D2']
 
515
  final_outcomes_export['G'] = final_outcomes['G']
516
+ final_outcomes_export['UTIL'] = final_outcomes['UTIL']
517
  final_outcomes_export['Salary'] = final_outcomes['Cost']
518
  final_outcomes_export['Own'] = final_outcomes['Own']
519
  final_outcomes_export['Proj'] = final_outcomes['Proj']
 
525
  final_outcomes_export['W3'].replace(dkid_dict, inplace=True)
526
  final_outcomes_export['D1'].replace(dkid_dict, inplace=True)
527
  final_outcomes_export['D2'].replace(dkid_dict, inplace=True)
 
528
  final_outcomes_export['G'].replace(dkid_dict, inplace=True)
529
+ final_outcomes_export['UTIL'].replace(dkid_dict, inplace=True)
530
  elif site_var1 == 'Fanduel':
531
  final_outcomes = portfolio[['C1', 'C2', 'W1', 'W2', 'D1', 'D2', 'UTIL1', 'UTIL2', 'G', 'Cost', 'Proj', 'Own']]
532