Enhance player and stack data presentation in app.py

- Introduced new logic to display player usage and stack information in separate tabs, improving data visibility and user interaction.
- Updated pagination controls to maintain functionality while displaying a paginated dataframe with enhanced styling for better clarity.
- Ensured accurate calculation of player counts and stack percentages, streamlining data analysis capabilities.

app.py

@@ -175,32 +175,58 @@ with tab2:
             )
             working_df['dupes'] = working_df.groupby('sorted').transform('size')
             working_df = working_df.drop('sorted', axis=1)
+        
+
+        contest_players = set()
+        for col in player_columns:
+            contest_players.update(working_df[col].unique())
+        with st.container():
+            tab1, tab2 = st.tabs(['Player Used Info', 'Stack Used Info', 'Projection Info'])
+            with tab1:
+                player_counts = contest_players.value_counts()
+                player_frame = player_counts.to_frame().reset_index().rename(columns={'index': 'Player', 0: 'Count'})
+                player_frame['Percent'] = player_frame['Count'] / len(working_df)
+                player_frame = player_frame[['Player', 'Count', 'Percent']]
+                st.dataframe(player_frame)
+            with tab2:
+                stack_counts = working_df['stack'].value_counts()
+                stack_frame = stack_counts.to_frame().reset_index().rename(columns={'index': 'Stack', 0: 'Count'})
+                stack_frame['Percent'] = stack_frame['Count'] / len(working_df)
+                stack_frame = stack_frame[['Stack', 'Count', 'Percent']]
+                st.dataframe(stack_frame)
+
 
-        # # Initialize pagination in session state if not exists
-        # if 'current_page' not in st.session_state:
-        #     st.session_state.current_page = 0
+        # Initialize pagination in session state if not exists
+        if 'current_page' not in st.session_state:
+            st.session_state.current_page = 0
 
-        # # Calculate total pages
-        # rows_per_page = 500
-        # total_rows = len(working_df)
-        # total_pages = (total_rows + rows_per_page - 1) // rows_per_page
+        # Calculate total pages
+        rows_per_page = 500
+        total_rows = len(working_df)
+        total_pages = (total_rows + rows_per_page - 1) // rows_per_page
 
-        # # Create pagination controls in a single row
-        # pagination_cols = st.columns([4, 1, 1, 1, 4])
-        # with pagination_cols[1]:
-        #     if st.button("← Previous", disabled=st.session_state.current_page == 0):
-        #         st.session_state.current_page -= 1
-        # with pagination_cols[2]:
-        #     st.markdown(f"**Page {st.session_state.current_page + 1} of {total_pages}**", unsafe_allow_html=True)
-        # with pagination_cols[3]:
-        #     if st.button("Next →", disabled=st.session_state.current_page == total_pages - 1):
-        #         st.session_state.current_page += 1
+        # Create pagination controls in a single row
+        pagination_cols = st.columns([4, 1, 1, 1, 4])
+        with pagination_cols[1]:
+            if st.button("← Previous", disabled=st.session_state.current_page == 0):
+                st.session_state.current_page -= 1
+        with pagination_cols[2]:
+            st.markdown(f"**Page {st.session_state.current_page + 1} of {total_pages}**", unsafe_allow_html=True)
+        with pagination_cols[3]:
+            if st.button("Next →", disabled=st.session_state.current_page == total_pages - 1):
+                st.session_state.current_page += 1
 
-        # # Calculate start and end indices for current page
-        # start_idx = st.session_state.current_page * rows_per_page
-        # end_idx = min((st.session_state.current_page + 1) * rows_per_page, total_rows)
+        # Calculate start and end indices for current page
+        start_idx = st.session_state.current_page * rows_per_page
+        end_idx = min((st.session_state.current_page + 1) * rows_per_page, total_rows)
 
         # Display the paginated dataframe
-        st.table(
-            working_df
+        st.dataframe(
+            working_df.iloc[start_idx:end_idx].style
+            .background_gradient(axis=0)
+            .background_gradient(cmap='RdYlGn')
+            .format(precision=2), 
+            height=1000,
+            use_container_width=True,
+            hide_index=True
         )