James McCool commited on
Commit
45b0128
·
1 Parent(s): df32cc4

Enhance dataframe display in streamlit_app.py by hiding index in dataframes for improved readability.

Browse files
Files changed (1) hide show
  1. src/streamlit_app.py +2 -4
src/streamlit_app.py CHANGED
@@ -57,9 +57,8 @@ with tab1:
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  elif split_var1 == 'All':
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  team_var1 = public_minutes.TC.values.tolist()
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  public_minutes = public_minutes[public_minutes['TC'].isin(team_var1)]
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- player_min_disp = public_minutes.set_index('Player')
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  player_min_disp = player_min_disp.sort_values(by=['TC', 'MP (Today)'], ascending=[True, False])
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- st.dataframe(player_min_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
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  st.download_button(
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  label="Export Minutes Baselines",
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  data=convert_df_to_csv(public_minutes),
@@ -77,9 +76,8 @@ with tab2:
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  elif split_var2 == 'All':
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  team_var2 = player_impact.Team.values.tolist()
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  player_impact = player_impact[player_impact['Team'].isin(team_var2)]
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- player_impact_disp = player_impact.set_index('Player')
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  player_impact_disp = player_impact_disp.sort_values(by=['Team', 'Rotation Impact (versus last 30 days)'], ascending=[True, False])
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- st.dataframe(player_impact_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
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  st.download_button(
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  label="Export Player Impacts",
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  data=convert_df_to_csv(player_impact),
 
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  elif split_var1 == 'All':
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  team_var1 = public_minutes.TC.values.tolist()
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  public_minutes = public_minutes[public_minutes['TC'].isin(team_var1)]
 
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  player_min_disp = player_min_disp.sort_values(by=['TC', 'MP (Today)'], ascending=[True, False])
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+ st.dataframe(player_min_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
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  st.download_button(
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  label="Export Minutes Baselines",
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  data=convert_df_to_csv(public_minutes),
 
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  elif split_var2 == 'All':
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  team_var2 = player_impact.Team.values.tolist()
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  player_impact = player_impact[player_impact['Team'].isin(team_var2)]
 
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  player_impact_disp = player_impact_disp.sort_values(by=['Team', 'Rotation Impact (versus last 30 days)'], ascending=[True, False])
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+ st.dataframe(player_impact_disp.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True, hide_index=True)
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  st.download_button(
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  label="Export Player Impacts",
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  data=convert_df_to_csv(player_impact),