James McCool commited on
Commit
7fb8561
·
1 Parent(s): 45b0128

Fix sorting logic in streamlit_app.py to ensure dataframes are sorted correctly based on filtered data for improved accuracy in displayed metrics.

Browse files
Files changed (1) hide show
  1. src/streamlit_app.py +2 -2
src/streamlit_app.py CHANGED
@@ -57,7 +57,7 @@ with tab1:
57
  elif split_var1 == 'All':
58
  team_var1 = public_minutes.TC.values.tolist()
59
  public_minutes = public_minutes[public_minutes['TC'].isin(team_var1)]
60
- player_min_disp = player_min_disp.sort_values(by=['TC', 'MP (Today)'], ascending=[True, False])
61
  st.dataframe(player_min_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
62
  st.download_button(
63
  label="Export Minutes Baselines",
@@ -76,7 +76,7 @@ with tab2:
76
  elif split_var2 == 'All':
77
  team_var2 = player_impact.Team.values.tolist()
78
  player_impact = player_impact[player_impact['Team'].isin(team_var2)]
79
- player_impact_disp = player_impact_disp.sort_values(by=['Team', 'Rotation Impact (versus last 30 days)'], ascending=[True, False])
80
  st.dataframe(player_impact_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
81
  st.download_button(
82
  label="Export Player Impacts",
 
57
  elif split_var1 == 'All':
58
  team_var1 = public_minutes.TC.values.tolist()
59
  public_minutes = public_minutes[public_minutes['TC'].isin(team_var1)]
60
+ player_min_disp = public_minutes.sort_values(by=['TC', 'MP (Today)'], ascending=[True, False])
61
  st.dataframe(player_min_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
62
  st.download_button(
63
  label="Export Minutes Baselines",
 
76
  elif split_var2 == 'All':
77
  team_var2 = player_impact.Team.values.tolist()
78
  player_impact = player_impact[player_impact['Team'].isin(team_var2)]
79
+ player_impact_disp = player_impact.sort_values(by=['Team', 'Rotation Impact (versus last 30 days)'], ascending=[True, False])
80
  st.dataframe(player_impact_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
81
  st.download_button(
82
  label="Export Player Impacts",