James McCool commited on
Commit
bc69eff
·
1 Parent(s): 0dedc97

Update contest data display and refine player ID mapping

Browse files

- Increased the number of displayed contest entries from 10 to 100 in the app, enhancing user visibility of data.
- Commented out the player ID mapping logic in the grab_contest_data function to prevent potential issues while maintaining the original code for reference.
- These changes contribute to ongoing efforts to improve user experience and data handling within the application.

Files changed (2) hide show
  1. app.py +1 -1
  2. global_func/grab_contest_data.py +1 -1
app.py CHANGED
@@ -91,7 +91,7 @@ with tab1:
91
  st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
92
  if st.session_state['Contest'] is not None:
93
  st.success('Contest file loaded successfully!')
94
- st.dataframe(st.session_state['Contest'].head(10))
95
 
96
  if 'Contest_file' in st.session_state:
97
  st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_df']['Player'], st.session_state['ownership_df']['Own']))
 
91
  st.session_state['Contest'] = st.session_state['Contest'].reset_index(drop=True)
92
  if st.session_state['Contest'] is not None:
93
  st.success('Contest file loaded successfully!')
94
+ st.dataframe(st.session_state['Contest'].head(100))
95
 
96
  if 'Contest_file' in st.session_state:
97
  st.session_state['ownership_dict'] = dict(zip(st.session_state['ownership_df']['Player'], st.session_state['ownership_df']['Own']))
global_func/grab_contest_data.py CHANGED
@@ -55,7 +55,7 @@ def grab_contest_data(sport, contest_name, contest_id_map, contest_date):
55
  players_df = pd.DataFrame(player_data)
56
  players_df = players_df.sort_values(by='ownership', ascending=False).reset_index(drop=True)
57
  players_df = players_df.rename(columns={'fullName': 'Player', 'rosterPosition': 'Roster Position', 'ownership': '%Drafted', 'actualPoints': 'FPTS', 'salary': 'Salary', 'currentTeam': 'Team'})
58
- pid_map = dict(zip(players_df['playerId'].astype(str), players_df['Player']))
59
 
60
  for lineup_hash, lineup_info in lineups_json['lineups'].items():
61
  lineup_data.append({
 
55
  players_df = pd.DataFrame(player_data)
56
  players_df = players_df.sort_values(by='ownership', ascending=False).reset_index(drop=True)
57
  players_df = players_df.rename(columns={'fullName': 'Player', 'rosterPosition': 'Roster Position', 'ownership': '%Drafted', 'actualPoints': 'FPTS', 'salary': 'Salary', 'currentTeam': 'Team'})
58
+ # pid_map = dict(zip(players_df['playerId'].astype(str), players_df['Player']))
59
 
60
  for lineup_hash, lineup_info in lineups_json['lineups'].items():
61
  lineup_data.append({