James McCool
commited on
Commit
·
84a7686
1
Parent(s):
f054296
Update preset label in app.py for clarity and consistency
Browse files- Changed the option label from 'Distributed (Spread Risk)' to 'Distributed (Spread Out Risk)' in the preset selection dropdown.
- This update enhances user interface clarity for preset choices.
- app.py +1 -1
- global_func/distribute_preset.py +0 -1
app.py
CHANGED
@@ -1116,7 +1116,7 @@ with tab2:
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parsed_frame = small_field_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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elif preset_choice == 'Large Field (Finish Percentile / Edge)':
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parsed_frame = large_field_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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-
elif preset_choice == 'Distributed (Spread Risk)':
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parsed_frame = distribute_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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st.session_state['working_frame'] = parsed_frame.reset_index(drop=True)
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st.session_state['export_merge'] = st.session_state['working_frame'].copy()
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parsed_frame = small_field_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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elif preset_choice == 'Large Field (Finish Percentile / Edge)':
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parsed_frame = large_field_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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+
elif preset_choice == 'Distributed (Spread Out Risk)':
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parsed_frame = distribute_preset(st.session_state['working_frame'], lineup_target, excluded_cols)
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st.session_state['working_frame'] = parsed_frame.reset_index(drop=True)
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st.session_state['export_merge'] = st.session_state['working_frame'].copy()
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global_func/distribute_preset.py
CHANGED
@@ -18,7 +18,6 @@ def distribute_preset(portfolio: pd.DataFrame, lineup_target: int, exclude_cols:
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working_portfolio = working_portfolio[working_portfolio['Finish_percentile'] >= (finish_threshold - 1)]
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working_portfolio = working_portfolio.sort_values(by='median', ascending = False)
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working_portfolio = working_portfolio.reset_index(drop=True)
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-
print(working_portfolio.head(10))
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curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var / 20 * working_portfolio.loc[0, 'Weighted Own'])
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for i in range(1, len(working_portfolio)):
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working_portfolio = working_portfolio[working_portfolio['Finish_percentile'] >= (finish_threshold - 1)]
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working_portfolio = working_portfolio.sort_values(by='median', ascending = False)
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working_portfolio = working_portfolio.reset_index(drop=True)
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curr_own_type_max = working_portfolio.loc[0, 'Weighted Own'] + (slack_var / 20 * working_portfolio.loc[0, 'Weighted Own'])
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for i in range(1, len(working_portfolio)):
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