Refactor position selection in Streamlit app to set default values for multiselect and simplify position filtering logic

src/streamlit_app.py

@@ -189,11 +189,7 @@ if selected_tab == 'Stack Finder':
                 team_var2 = st.multiselect('Which teams would you like to include in the analysis?', options = raw_baselines['Team'].unique(), key='team_var2')
             elif split_var2 == 'Full Slate Run':
                 team_var2 = raw_baselines.Team.unique().tolist()
-            pos_split2 = st.radio("Are you viewing all positions, specific groups, or specific positions?", ('All Positions', 'Specific Positions'), key='pos_split2')
-            if pos_split2 == 'Specific Positions':
-                pos_var2 = st.multiselect('What Positions would you like to view?', options = ['WR', 'TE', 'RB'])
-            elif pos_split2 == 'All Positions':
-                pos_var2 = 'All'
+            pos_var2 = st.multiselect('What Positions would you like to view?', options = ['WR', 'TE', 'RB'], default = ['WR', 'TE', 'RB'], key='pos_var2')
         with stack_info_column:
             if site_var == 'Draftkings':
                 max_sal2 = st.number_input('Max Salary', min_value = 5000, max_value = 50000, value = 35000, step = 100, key='max_sal2')
@@ -240,10 +236,7 @@ if selected_tab == 'Stack Finder':
 
     stack_hold_container = st.empty()
     comb_list = []
-    if pos_split2 == 'All Positions':
-        raw_baselines = raw_baselines
-    elif pos_split2 != 'All Positions':
-        raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
+    raw_baselines = raw_baselines[raw_baselines['Position'].str.contains('|'.join(pos_var2 + ['QB']))]
 
     # Create a position dictionary mapping players to their eligible positions
     pos_dict = dict(zip(raw_baselines.Player, raw_baselines.Position))