Refactor working dataframe handling in app.py for improved data organization

- Added a reset of the index for the working dataframe after sorting by 'actual_fpts', ensuring a clean and organized structure for subsequent operations.
- This change enhances data clarity and prepares the dataframe for better visualization and analysis.

app.py

@@ -313,8 +313,9 @@ with tab2:
             working_df['under_10'] = working_df.groupby('BaseName')['dupes'].transform(
                 lambda x: (x <= 10).sum()
             )
-            
+
             working_df = working_df.sort_values(by='actual_fpts', ascending=False)
+            working_df = working_df.reset_index(drop=True)
             working_df = working_df.reset_index()
             working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df['finish'] = working_df['index']
@@ -389,6 +390,7 @@ with tab2:
             )
 
             working_df = working_df.sort_values(by='actual_fpts', ascending=False)
+            working_df = working_df.reset_index(drop=True)
             working_df = working_df.reset_index()
             working_df['percentile_finish'] = working_df['index'].rank(pct=True)
             working_df['finish'] = working_df['index']