Update app.py

app.py

@@ -243,6 +243,12 @@ with tab1:
             season_long_table = seasonlong_build(working_data)
             season_long_table = season_long_table.set_index('Player')
             display.dataframe(season_long_table.style.format(precision=2), height=750, use_container_width = True)  
+            st.download_button(
+                    label="Export seasonlogs Model",
+                    data=convert_df_to_csv(season_long_table),
+                    file_name='Seasonlogs_NBA_View.csv',
+                    mime='text/csv',
+            )
             
         elif split_var1 == 'Gamelogs':
             working_data = working_data[working_data['Date'] >= low_date]
@@ -271,6 +277,12 @@ with tab1:
             pages = split_frame(working_data, batch_size)
             # pages = pages.set_index('Player')
             display.dataframe(data=pages[current_page - 1].style.format(precision=2), height=500, use_container_width=True)
+            st.download_button(
+                    label="Export gamelogs Model",
+                    data=convert_df_to_csv(working_data),
+                    file_name='Gamelogs_NBA_View.csv',
+                    mime='text/csv',
+            )
             
 with tab2:
     col1, col2 = st.columns([1, 9])
@@ -337,6 +349,12 @@ with tab2:
             elif corr_var == 'Minutes':
                 corr_display = run_min_corr(working_data)
             display.dataframe(corr_display.style.background_gradient(axis=0).background_gradient(cmap='RdYlGn').format(precision=2), use_container_width = True)
+        st.download_button(
+                label="Export Correlations Model",
+                data=convert_df_to_csv(corr_display),
+                file_name='Correlations_NBA_View.csv',
+                mime='text/csv',
+        )
 
 with tab3:
     col1, col2 = st.columns([1, 9])
@@ -390,4 +408,10 @@ with tab3:
         display = st.container()
 
         # pages = pages.set_index('Player')
-        display.dataframe(gamelog_display.style.format(precision=2), height=500, use_container_width=True)
+        display.dataframe(gamelog_display.style.format(precision=2), height=500, use_container_width=True)
+        st.download_button(
+                label="Export Matchups Model",
+                data=convert_df_to_csv(gamelog_display),
+                file_name='Matchups_NBA_View.csv',
+                mime='text/csv',
+        )