Add player position count displays in Streamlit app to enhance player ranking insights

src/streamlit_app.py

@@ -458,10 +458,25 @@ def main():
     final_df.insert(1, 'new_name', final_df['pos_des'].map(pos_des_dict))
 
     final_df = final_df.drop(columns=['pos_rank', 'pos_des', 'pos_rank_init'], axis=1)
+    final_df = final_df.reset_index(drop=True)
     
     # Display results
     st.header("Player Rankings")
     st.dataframe(final_df, use_container_width=True)
+    qb_count_col, rb_count_col, wr_count_col, te_count_col = st.columns(4)
+    with qb_count_col:
+        st.subheader("QB Counts")
+        st.write(f"Total QB top 12: {final_df.loc[0:11, 'Pos'] == 'QB'.sum()}")
+    with rb_count_col:
+        st.subheader("RB Counts")
+        st.write(f"Total RB top 12: {final_df.loc[0:11, 'Pos'] == 'RB'.sum()}")
+    with wr_count_col:
+        st.subheader("WR Counts")
+        st.write(f"Total WR top 12: {final_df.loc[0:11, 'Pos'] == 'WR'.sum()}")
+    with te_count_col:
+        st.subheader("TE Counts")
+        st.write(f"Total TE top 12: {final_df.loc[0:11, 'Pos'] == 'TE'.sum()}")
+
     
     # Position breakdown
     st.header("Position Breakdown")