Spaces:
Running
Running
James McCool
commited on
Commit
·
36430a1
1
Parent(s):
9a0fceb
Update 'Stack Finder' tab to 'Info and Filters', add 'Run Stack Analysis' button, and streamline combination generation logic for player selection in Streamlit app
Browse files- src/streamlit_app.py +221 -220
src/streamlit_app.py
CHANGED
@@ -145,7 +145,7 @@ selected_tab = st.segmented_control(
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)
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if selected_tab == 'Stack Finder':
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with st.expander("
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app_info_column, slate_choice_column, filtering_column, stack_info_column = st.columns(4)
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with app_info_column:
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if st.button("Load/Reset Data", key='reset1'):
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@@ -208,232 +208,233 @@ if selected_tab == 'Stack Finder':
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own_dict = dict(zip(raw_baselines.Player, raw_baselines.Own))
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cost_dict = dict(zip(raw_baselines.Player, raw_baselines.Salary))
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qb_dict = dict(zip(qb_lookup.Team, qb_lookup.Player))
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#
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max_salary = max_sal2
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max_players = 9
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else:
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position_limits = {
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'QB': 1,
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'RB': 2,
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'WR': 3,
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'TE': 1,
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'UTIL': 1,
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'DST': 1,
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# Add more as needed
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}
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max_salary = max_sal2
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max_players = 9
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stack_hold_container = st.empty()
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comb_list = []
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raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
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# Create a position dictionary mapping players to their eligible positions
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pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))
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def is_valid_combination(combo):
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# Count positions in this combination
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position_counts = {pos: 0 for pos in position_limits.keys()}
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# For each player in the combination
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for player in combo:
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# Get their eligible positions
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player_positions = pos_dict[player].split('/')
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# For each
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for
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comb_DF
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if
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cur_own = cur_own
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cut_var = cut_var - 1
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comb_DF = comb_DF.reset_index()
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comb_DF = comb_DF.drop(['index'], axis=1)
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elif check_own <= cur_own:
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cur_own = float(comb_DF.iat[cut_var, 5])
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cur_own = float(comb_DF.iat[cut_var,6])
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cur_own = float(comb_DF.iat[cut_var,7])
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cur_own = float(comb_DF.iat[cut_var,8])
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st.dataframe(st.session_state['display_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), hide_index=True, use_container_width = True)
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if selected_tab == 'User Upload':
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st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', and 'Own'.")
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)
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if selected_tab == 'Stack Finder':
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with st.expander("Info and Filters"):
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app_info_column, slate_choice_column, filtering_column, stack_info_column = st.columns(4)
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with app_info_column:
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if st.button("Load/Reset Data", key='reset1'):
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own_dict = dict(zip(raw_baselines.Player, raw_baselines.Own))
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cost_dict = dict(zip(raw_baselines.Player, raw_baselines.Salary))
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qb_dict = dict(zip(qb_lookup.Team, qb_lookup.Player))
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if st.button("Run Stack Analysis", key='run_stack_analysis'):
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if site_var == 'Draftkings':
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position_limits = {
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'QB': 1,
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'RB': 2,
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'WR': 3,
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'TE': 1,
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'UTIL': 1,
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'DST': 1,
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# Add more as needed
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}
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max_salary = max_sal2
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max_players = 9
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else:
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position_limits = {
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'QB': 1,
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'RB': 2,
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'WR': 3,
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'TE': 1,
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'UTIL': 1,
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'DST': 1,
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# Add more as needed
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}
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max_salary = max_sal2
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max_players = 9
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stack_hold_container = st.empty()
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comb_list = []
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raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
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# Create a position dictionary mapping players to their eligible positions
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pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))
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def is_valid_combination(combo):
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# Count positions in this combination
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position_counts = {pos: 0 for pos in position_limits.keys()}
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# For each player in the combination
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for player in combo:
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# Get their eligible positions
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player_positions = pos_dict[player].split('/')
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# For each position they can play
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for pos in player_positions:
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if pos == 'UTIL':
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# UTIL can be filled by any position
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for p in position_counts:
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position_counts[p] += 1
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# Check if any position exceeds its limit
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for pos, limit in position_limits.items():
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if position_counts[pos] > limit:
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return False
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return True
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# Modify the combination generation code
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comb_list = []
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for cur_team in team_var2:
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working_baselines = raw_baselines
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working_baselines = working_baselines[working_baselines['Team'] == cur_team]
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working_baselines = working_baselines[working_baselines['Position'] != 'DST']
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working_baselines = working_baselines[working_baselines['Position'] != 'K']
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qb_var = qb_dict[cur_team]
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order_list = working_baselines['Player']
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comb = combinations(order_list, stack_size)
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for i in list(comb):
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if qb_var in i:
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comb_list.append(i)
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# Only add combinations that satisfy position limits
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for i in list(comb):
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if is_valid_combination(i):
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comb_list.append(i)
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comb_DF = pd.DataFrame(comb_list)
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if stack_size == 3:
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comb_DF['Team'] = comb_DF[0].map(team_dict)
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comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
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comb_DF[1].map(proj_dict),
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comb_DF[2].map(proj_dict)])
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comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
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comb_DF[1].map(cost_dict),
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comb_DF[2].map(cost_dict)])
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comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
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comb_DF[1].map(own_dict),
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comb_DF[2].map(own_dict)])
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elif stack_size == 4:
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comb_DF['Team'] = comb_DF[0].map(team_dict)
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comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
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comb_DF[1].map(proj_dict),
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comb_DF[2].map(proj_dict),
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comb_DF[3].map(proj_dict)])
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comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
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comb_DF[1].map(cost_dict),
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comb_DF[2].map(cost_dict),
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comb_DF[3].map(cost_dict)])
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comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
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comb_DF[1].map(own_dict),
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comb_DF[2].map(own_dict),
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comb_DF[3].map(own_dict)])
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elif stack_size == 5:
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comb_DF['Team'] = comb_DF[0].map(team_dict)
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comb_DF['Proj'] = sum([comb_DF[0].map(proj_dict),
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comb_DF[1].map(proj_dict),
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comb_DF[2].map(proj_dict),
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comb_DF[3].map(proj_dict),
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comb_DF[4].map(proj_dict)])
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comb_DF['Salary'] = sum([comb_DF[0].map(cost_dict),
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comb_DF[1].map(cost_dict),
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comb_DF[2].map(cost_dict),
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comb_DF[3].map(cost_dict),
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comb_DF[4].map(cost_dict)])
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comb_DF['Own%'] = sum([comb_DF[0].map(own_dict),
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comb_DF[1].map(own_dict),
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comb_DF[2].map(own_dict),
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comb_DF[3].map(own_dict),
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comb_DF[4].map(own_dict)])
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comb_DF = comb_DF.sort_values(by='Proj', ascending=False)
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comb_DF = comb_DF.loc[comb_DF['Salary'] <= max_sal2]
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cut_var = 0
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if stack_size == 2:
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while cut_var <= int(len(comb_DF)):
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try:
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if int(cut_var) == 0:
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cur_proj = float(comb_DF.iat[cut_var, 3])
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cur_own = float(comb_DF.iat[cut_var, 5])
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elif int(cut_var) >= 1:
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check_own = float(comb_DF.iat[cut_var, 5])
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if check_own > cur_own:
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comb_DF = comb_DF.drop([cut_var])
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cur_own = cur_own
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cut_var = cut_var - 1
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comb_DF = comb_DF.reset_index()
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comb_DF = comb_DF.drop(['index'], axis=1)
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elif check_own <= cur_own:
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cur_own = float(comb_DF.iat[cut_var, 5])
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cut_var = cut_var
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cut_var += 1
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except:
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cut_var += 1
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elif stack_size == 3:
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while cut_var <= int(len(comb_DF)):
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try:
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if int(cut_var) == 0:
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cur_proj = float(comb_DF.iat[cut_var,4])
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cur_own = float(comb_DF.iat[cut_var,6])
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elif int(cut_var) >= 1:
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check_own = float(comb_DF.iat[cut_var,6])
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if check_own > cur_own:
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comb_DF = comb_DF.drop([cut_var])
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cur_own = cur_own
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cut_var = cut_var - 1
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comb_DF = comb_DF.reset_index()
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comb_DF = comb_DF.drop(['index'], axis=1)
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elif check_own <= cur_own:
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cur_own = float(comb_DF.iat[cut_var,6])
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cut_var = cut_var
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cut_var += 1
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except:
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cut_var += 1
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elif stack_size == 4:
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while cut_var <= int(len(comb_DF)):
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try:
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if int(cut_var) == 0:
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cur_proj = float(comb_DF.iat[cut_var,5])
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cur_own = float(comb_DF.iat[cut_var,7])
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elif int(cut_var) >= 1:
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check_own = float(comb_DF.iat[cut_var,7])
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if check_own > cur_own:
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comb_DF = comb_DF.drop([cut_var])
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cur_own = cur_own
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cut_var = cut_var - 1
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comb_DF = comb_DF.reset_index()
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comb_DF = comb_DF.drop(['index'], axis=1)
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elif check_own <= cur_own:
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cur_own = float(comb_DF.iat[cut_var,7])
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cut_var = cut_var
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cut_var += 1
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except:
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cut_var += 1
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elif stack_size == 5:
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while cut_var <= int(len(comb_DF)):
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try:
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if int(cut_var) == 0:
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cur_proj = float(comb_DF.iat[cut_var,6])
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cur_own = float(comb_DF.iat[cut_var,8])
|
413 |
+
elif int(cut_var) >= 1:
|
414 |
+
check_own = float(comb_DF.iat[cut_var,8])
|
415 |
+
if check_own > cur_own:
|
416 |
+
comb_DF = comb_DF.drop([cut_var])
|
417 |
+
cur_own = cur_own
|
418 |
+
cut_var = cut_var - 1
|
419 |
+
comb_DF = comb_DF.reset_index()
|
420 |
+
comb_DF = comb_DF.drop(['index'], axis=1)
|
421 |
+
elif check_own <= cur_own:
|
422 |
+
cur_own = float(comb_DF.iat[cut_var,8])
|
423 |
+
cut_var = cut_var
|
424 |
+
cut_var += 1
|
425 |
+
except:
|
426 |
+
cut_var += 1
|
427 |
+
st.session_state['display_frame'] = comb_DF
|
428 |
+
if 'display_frame' in st.session_state:
|
429 |
st.dataframe(st.session_state['display_frame'].style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), hide_index=True, use_container_width = True)
|
430 |
+
st.download_button(
|
431 |
+
label="Export Tables",
|
432 |
+
data=convert_df_to_csv(st.session_state['display_frame']),
|
433 |
+
file_name='NFL_Stack_Options_export.csv',
|
434 |
+
mime='text/csv',
|
435 |
+
)
|
436 |
+
else:
|
437 |
+
st.info("When you run the stack analysis, the results will be displayed here. Open up the 'Info and Filters' tab to check the settings.")
|
438 |
|
439 |
if selected_tab == 'User Upload':
|
440 |
st.info("The Projections file can have any columns in any order, but must contain columns explicitly named: 'Player', 'Salary', 'Position', 'Team', 'Opp', 'Median', and 'Own'.")
|