James McCool commited on
Commit
e25cbc1
·
1 Parent(s): 15bd131

Update prop variable names in app.py for consistency and clarity. Changed 'NHL_GAME_PLAYER_BLOCKED_SHOTS' to 'NHL_GAME_PLAYER_SHOTS_BLOCKED' across multiple instances to ensure uniformity in prop category references, enhancing code readability and maintainability.

Browse files
Files changed (1) hide show
  1. app.py +8 -8
app.py CHANGED
@@ -55,10 +55,10 @@ def init_conn():
55
 
56
  gcservice_account, gcservice_account2, NHL_Data = init_conn()
57
 
58
- prop_table_options = ['NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_BLOCKED_SHOTS', 'NHL_GAME_PLAYER_ASSISTS']
59
  prop_format = {'L5 Success': '{:.2%}', 'L10_Success': '{:.2%}', 'L20_success': '{:.2%}', 'Matchup Boost': '{:.2%}', 'Trending Over': '{:.2%}', 'Trending Under': '{:.2%}',
60
  'Implied Over': '{:.2%}', 'Implied Under': '{:.2%}', 'Over Edge': '{:.2%}', 'Under Edge': '{:.2%}'}
61
- all_sim_vars = ['NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_BLOCKED_SHOTS', 'NHL_GAME_PLAYER_ASSISTS']
62
  pick6_sim_vars = ['Points', 'Shots on Goal', 'Assists', 'Blocks']
63
  sim_all_hold = pd.DataFrame(columns=['Player', 'Prop Type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Trending Over', 'Over%', 'Imp Under', 'Trending Under', 'Under%', 'Bet?', 'Edge'])
64
 
@@ -188,7 +188,7 @@ with tab3:
188
  book_selections = ['Pick6']
189
  with col3:
190
  if game_select_var == 'Aggregate':
191
- prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_ASSISTS', 'NHL_GAME_PLAYER_BLOCKED_SHOTS'])
192
  elif game_select_var == 'Pick6':
193
  prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'Points', 'Shots on Goal', 'Assists', 'Blocks'])
194
  with col4:
@@ -206,7 +206,7 @@ with tab3:
206
 
207
  if game_select_var == 'Aggregate':
208
  prop_df_raw = prop_trends[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type', 'Trending Over', 'Trending Under']]
209
- sim_vars = ['NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_ASSISTS', 'NHL_GAME_PLAYER_BLOCKED_SHOTS']
210
  elif game_select_var == 'Pick6':
211
  prop_df_raw = pick_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type', 'Trending Over', 'Trending Under']]
212
  sim_vars = ['Points', 'Shots on Goal', 'Assists', 'Blocks']
@@ -251,7 +251,7 @@ with tab3:
251
  df['Median'] = df['Player SOG']
252
  elif prop == 'NHL_GAME_PLAYER_ASSISTS' or prop == 'Assists':
253
  df['Median'] = df['Player Assists']
254
- elif prop == 'NHL_GAME_PLAYER_BLOCKED_SHOTS' or prop == 'Blocks':
255
  df['Median'] = df['Player Blocks']
256
 
257
  flex_file = df.copy()
@@ -341,8 +341,8 @@ with tab3:
341
  prop_df = prop_df[prop_df['prop_type'] == 'NHL_GAME_PLAYER_ASSISTS']
342
  elif prop_type_var == "Assists":
343
  prop_df = prop_df[prop_df['prop_type'] == 'Player Assists']
344
- elif prop_type_var == "NHL_GAME_PLAYER_BLOCKED_SHOTS":
345
- prop_df = prop_df[prop_df['prop_type'] == 'NHL_GAME_PLAYER_BLOCKED_SHOTS']
346
  elif prop_type_var == "Blocks":
347
  prop_df = prop_df[prop_df['prop_type'] == 'Player Blocks']
348
 
@@ -379,7 +379,7 @@ with tab3:
379
  df['Median'] = df['Player SOG']
380
  elif prop_type_var == 'NHL_GAME_PLAYER_ASSISTS' or prop_type_var == 'Assists':
381
  df['Median'] = df['Player Assists']
382
- elif prop_type_var == 'NHL_GAME_PLAYER_BLOCKED_SHOTS' or prop_type_var == 'Blocks':
383
  df['Median'] = df['Player Blocks']
384
 
385
  flex_file = df.copy()
 
55
 
56
  gcservice_account, gcservice_account2, NHL_Data = init_conn()
57
 
58
+ prop_table_options = ['NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_BLOCKED', 'NHL_GAME_PLAYER_ASSISTS']
59
  prop_format = {'L5 Success': '{:.2%}', 'L10_Success': '{:.2%}', 'L20_success': '{:.2%}', 'Matchup Boost': '{:.2%}', 'Trending Over': '{:.2%}', 'Trending Under': '{:.2%}',
60
  'Implied Over': '{:.2%}', 'Implied Under': '{:.2%}', 'Over Edge': '{:.2%}', 'Under Edge': '{:.2%}'}
61
+ all_sim_vars = ['NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_BLOCKED', 'NHL_GAME_PLAYER_ASSISTS']
62
  pick6_sim_vars = ['Points', 'Shots on Goal', 'Assists', 'Blocks']
63
  sim_all_hold = pd.DataFrame(columns=['Player', 'Prop Type', 'Prop', 'Mean_Outcome', 'Imp Over', 'Trending Over', 'Over%', 'Imp Under', 'Trending Under', 'Under%', 'Bet?', 'Edge'])
64
 
 
188
  book_selections = ['Pick6']
189
  with col3:
190
  if game_select_var == 'Aggregate':
191
+ prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_ASSISTS', 'NHL_GAME_PLAYER_SHOTS_BLOCKED'])
192
  elif game_select_var == 'Pick6':
193
  prop_type_var = st.selectbox('Select prop category', options = ['All Props', 'Points', 'Shots on Goal', 'Assists', 'Blocks'])
194
  with col4:
 
206
 
207
  if game_select_var == 'Aggregate':
208
  prop_df_raw = prop_trends[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type', 'Trending Over', 'Trending Under']]
209
+ sim_vars = ['NHL_GAME_PLAYER_POINTS', 'NHL_GAME_PLAYER_SHOTS_ON_GOAL', 'NHL_GAME_PLAYER_ASSISTS', 'NHL_GAME_PLAYER_SHOTS_BLOCKED']
210
  elif game_select_var == 'Pick6':
211
  prop_df_raw = pick_frame[['Player', 'book', 'over_prop', 'over_line', 'under_line', 'prop_type', 'Trending Over', 'Trending Under']]
212
  sim_vars = ['Points', 'Shots on Goal', 'Assists', 'Blocks']
 
251
  df['Median'] = df['Player SOG']
252
  elif prop == 'NHL_GAME_PLAYER_ASSISTS' or prop == 'Assists':
253
  df['Median'] = df['Player Assists']
254
+ elif prop == 'NHL_GAME_PLAYER_SHOTS_BLOCKED' or prop == 'Blocks':
255
  df['Median'] = df['Player Blocks']
256
 
257
  flex_file = df.copy()
 
341
  prop_df = prop_df[prop_df['prop_type'] == 'NHL_GAME_PLAYER_ASSISTS']
342
  elif prop_type_var == "Assists":
343
  prop_df = prop_df[prop_df['prop_type'] == 'Player Assists']
344
+ elif prop_type_var == "NHL_GAME_PLAYER_SHOTS_BLOCKED":
345
+ prop_df = prop_df[prop_df['prop_type'] == 'NHL_GAME_PLAYER_SHOTS_BLOCKED']
346
  elif prop_type_var == "Blocks":
347
  prop_df = prop_df[prop_df['prop_type'] == 'Player Blocks']
348
 
 
379
  df['Median'] = df['Player SOG']
380
  elif prop_type_var == 'NHL_GAME_PLAYER_ASSISTS' or prop_type_var == 'Assists':
381
  df['Median'] = df['Player Assists']
382
+ elif prop_type_var == 'NHL_GAME_PLAYER_SHOTS_BLOCKED' or prop_type_var == 'Blocks':
383
  df['Median'] = df['Player Blocks']
384
 
385
  flex_file = df.copy()