Update app.py

app.py

@@ -158,7 +158,7 @@ def run_update_dataset():
 def get_data(rl_env, task_id, path) -> pd.DataFrame:
     """
     Get data from rl_env, filter by the given task_id, and drop the Task-ID column.
-    Also drops any columns that have no data (all values are NaN).
+    Also drops any columns that have no data (all values are NaN) or all values are 0.0.
     :return: filtered data as a pandas DataFrame without the Task-ID column
     """
     csv_path = path + "/" + rl_env + ".csv"
@@ -176,6 +176,9 @@ def get_data(rl_env, task_id, path) -> pd.DataFrame:
     # Drop columns that have no data (all values are NaN)
     filtered_data = filtered_data.dropna(axis=1, how='all')
 
+    # Drop columns where all values are 0.0
+    filtered_data = filtered_data.loc[:, (filtered_data != 0.0).any(axis=0)]
+
     # Convert User and Model columns to clickable links
     for index, row in filtered_data.iterrows():
         user_id = row["User"]