add log

src/tools/plots.py

@@ -39,6 +39,7 @@ def create_scores_df(raw_data: list[EvalResult]) -> pd.DataFrame:
             current_date = row["date"]
             if task.benchmark == "Average":
                 current_score = np.mean(list(row["results"].values()))
+                print("average", current_score)
             else:
                 if row["results"]:
                     current_score = row["results"][task.benchmark]
@@ -70,10 +71,10 @@ def create_plot_df(scores_df: dict[str: pd.DataFrame]) -> pd.DataFrame:
     # Iterate over the cols and create a new DataFrame for each column
     for col in BENCHMARK_COLS + [AutoEvalColumn.average.name]:
         print("col",col)
-        print("dfs", dfs)
         d = scores_df[col].reset_index(drop=True)
         d["task"] = col
         dfs.append(d)
+        print("dfs", dfs)
 
     # Concatenate all the created DataFrames
     concat_df = pd.concat(dfs, ignore_index=True)