Add download buttons for ROO exports in app.py with type-specific data formatting

Implemented functionality to export Regular and Showdown ROO data as CSV files. Added download buttons for both formats, ensuring appropriate column renaming and salary adjustments for Showdown type.

app.py

@@ -272,6 +272,31 @@ with tab1:
     if pos_var1 == 'All':
             final_Proj = final_Proj.sort_values(by='Median', ascending=False)
     
+    if type_var == 'Regular':
+        pm_export = final_Proj[['Player', 'Position', 'Team', 'Salary', 'Median', 'Own']]
+        pm_export['captain ownership'] = pm_export['Own'] / 6
+        pm_export = pm_export.rename(columns={'Own': 'ownership', 'Median': 'median', 'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary'})
+    elif type_var == 'Showdown':
+        pm_export = final_Proj[['Player', 'Position', 'Team', 'Salary', 'Median', 'Own', 'CPT_Own']]
+        pm_export['Salary'] = pm_export['Salary'] / 1.5
+        pm_export = pm_export.rename(columns={'Own': 'ownership', 'Median': 'median', 'Player': 'player_names', 'Position': 'position', 'Team': 'team', 'Salary': 'salary', 'CPT_Own': 'captain ownership'})
+    
+    player_reg_dl_col, player_pm_dl_col, player_dl_blank_col = st.columns([2, 2, 10])
+    with player_reg_dl_col:
+        st.download_button(
+            label="Export ROO (Regular)",
+            data=convert_df_to_csv(final_Proj),
+            file_name='NHL_ROO_export.csv',
+            mime='text/csv',
+        )
+    with player_pm_dl_col:
+        st.download_button(
+            label="Export ROO (Portfolio Manager)",
+            data=convert_df_to_csv(pm_export),
+            file_name='NHL_ROO_export.csv',
+            mime='text/csv',
+        )
+    
     if view_var == 'Advanced':
         display_proj = final_Proj[['Player', 'Position', 'Team', 'Opp', 'Salary', 'Floor', 'Median', 'Ceiling', 'Top_finish', 'Top_5_finish', 'Top_10_finish', '20+%', '2x%', '3x%', '4x%',
                                     'Own', 'Small Field Own%', 'Large Field Own%', 'Cash Own%', 'CPT_Own']]