Refactor stack size selection in app.py for improved user experience

- Replaced number input fields for stack size with selectbox and multiselect options, allowing users to filter by specific stack sizes more intuitively.
- Updated filtering logic to accommodate the new selection method, enhancing data handling and user interaction.

app.py

@@ -244,8 +244,8 @@ with tab2:
                     stack_parse_var = st.selectbox("Do you want to view lineups with specific team(s)?", ['All', 'Specific'], key = 'stack_parse_var')
                     stack_names = st.multiselect("Select teams", options=working_df['stack'].unique(), default=[], key = 'stack_names')
                 with stack_size_var:
-                    low_stack_size_var = st.number_input("Low end of stack size range", min_value=0, max_value=5, value=1, key = 'low_stack_size_var')
-                    high_stack_size_var = st.number_input("High end of stack size range", min_value=0, max_value=5, value=5, key = 'high_stack_size_var')
+                    stack_size_parse_var = st.selectbox("Do you want to view a specific stack size(s)?", ['All', 'Specific'], key = 'stack_size_parse_var')
+                    stack_size_names = st.multiselect("Select stack sizes", options=working_df['stack_size'].unique(), default=[], key = 'stack_size_names')
                 with player_var:
                     player_parse_var = st.selectbox("Do you want to view lineups with specific player(s)?", ['All', 'Specific'], key = 'player_parse_var')
                     player_names = st.multiselect("Select players", options=st.session_state['entry_list'], default=[], key = 'player_names')
@@ -260,9 +260,8 @@ with tab2:
                         working_df = working_df[working_df['BaseName'].isin(entry_names)]
                     if stack_parse_var == 'Specific' and stack_names:
                         working_df = working_df[working_df['stack'].isin(stack_names)]
-                    if low_stack_size_var and high_stack_size_var:
-                        working_df = working_df.dropna(subset=['stack_size'])
-                        working_df = working_df[working_df['stack_size'].between(low_stack_size_var, high_stack_size_var)]
+                    if stack_size_parse_var == 'Specific' and stack_size_names:
+                        working_df = working_df[working_df['stack_size'].isin(stack_size_names)]
                         
                     # if player_parse_var == 'Specific' and player_names:
                     #     working_df = working_df[working_df['BaseName'].isin(player_names)]