Update app.py

app.py

@@ -149,18 +149,18 @@ def update_table(df: pd.DataFrame, query: str, param_ranges: list, is_foundation
     if 'W/10 👍' in df.columns:
         mask &= (df['W/10 👍'] >= w10_range[0]) & (df['W/10 👍'] <= w10_range[1])
     
-    filtered_df = df[mask]
+    filtered_df = df[mask].copy()  # Create an explicit copy
     
     # Add selected additional columns
     columns = columns + [col for col in additional_cols if col in ADDITIONAL_COLS]
     
     # Ensure date columns are sorted as dates and then formatted as strings
     if 'Release Date' in columns:
-        filtered_df['Release Date'] = pd.to_datetime(filtered_df['Release Date'], errors='coerce')
-        filtered_df['Release Date'] = filtered_df['Release Date'].dt.strftime('%Y-%m-%d')
+        filtered_df.loc[:, 'Release Date'] = pd.to_datetime(filtered_df['Release Date'], errors='coerce')
+        filtered_df.loc[:, 'Release Date'] = filtered_df['Release Date'].dt.strftime('%Y-%m-%d')
     if 'Date Added' in columns:
-        filtered_df['Date Added'] = pd.to_datetime(filtered_df['Date Added'], errors='coerce')
-        filtered_df['Date Added'] = filtered_df['Date Added'].dt.strftime('%Y-%m-%d')
+        filtered_df.loc[:, 'Date Added'] = pd.to_datetime(filtered_df['Date Added'], errors='coerce')
+        filtered_df.loc[:, 'Date Added'] = filtered_df['Date Added'].dt.strftime('%Y-%m-%d')
     
     return filtered_df[columns]