Update app.py

app.py

@@ -94,7 +94,9 @@ def init_baselines():
     rot_table[data_cols] = rot_table[data_cols].apply(pd.to_numeric, errors='coerce')
     rot_table = rot_table[rot_table['Player'] != 0]
     
-    return gamelog_table, rot_table
+    timestamp = gamelog_table['Date'].max()
+    
+    return gamelog_table, rot_table, timestamp
 
 @st.cache_data(show_spinner=False)
 def seasonlong_build(data_sample):
@@ -195,7 +197,8 @@ def split_frame(input_df, rows):
 def convert_df_to_csv(df):
     return df.to_csv().encode('utf-8')
 
-gamelog_table, rot_table = init_baselines()
+gamelog_table, rot_table, timestamp = init_baselines()
+t_stamp = f"Updated through: " + str(timestamp) + f" CST"
 basic_cols = ['Player', 'Pos', 'Team', 'Opp', 'Season', 'Date', 'Matchup', 'Min']
 basic_season_cols = ['Pos', 'Team', 'Min']
 data_cols = ['team_score', 'opp_score', 'spread', 'Touches', 'Pts', 'FGM', 'FGA', 'FG%', 'FG3M',
@@ -217,6 +220,7 @@ total_dates = gamelog_table.Date.values.tolist()
 tab1, tab2, tab3, tab4 = st.tabs(['Gamelogs', 'Correlation Matrix', 'Position vs. Opp', 'Rotations'])
 
 with tab1:
+    st.info(t_stamp)
     col1, col2 = st.columns([1, 9])
     with col1:
         if st.button("Reset Data", key='reset1'):
@@ -341,6 +345,7 @@ with tab1:
             )
             
 with tab2:
+    st.info(t_stamp)
     col1, col2 = st.columns([1, 9])
     with col1:
         if st.button("Reset Data", key='reset2'):
@@ -431,6 +436,7 @@ with tab2:
         )
 
 with tab3:
+    st.info(t_stamp)
     col1, col2 = st.columns([1, 9])
     with col1:
         if st.button("Reset Data", key='reset3'):
@@ -513,6 +519,7 @@ with tab3:
         )
 
 with tab4:
+    st.info(t_stamp)
     col1, col2 = st.columns([1, 9])
     with col1:
         if st.button("Reset Data", key='reset4'):