Move average to end

app.py

@@ -194,7 +194,7 @@ def agg_df(df, agg: str = "max"):
     # Drop date and aggregate results by model name
     df = df.drop("Date", axis=1).groupby("Model").agg(agg).reset_index()
 
-    df.insert(loc=1, column="Average", value=df.mean(axis=1, numeric_only=True))
+    df.insert(loc=len(df.columns), column="Average", value=df.mean(axis=1, numeric_only=True))
 
     # Convert all values to percentage
     df[df.select_dtypes(include=["number"]).columns] *= 100.0
@@ -223,7 +223,7 @@ def filter_and_search(cols: list[str], search_query: str, agg: str):
         # Drop rows with NaN values
         df = df.copy().dropna(how="all", axis=0, subset=[c for c in df.columns if c in cols])
         # Recompute average
-        df.insert(loc=1, column="Average", value=df.mean(axis=1, numeric_only=True))
+        df.insert(loc=len(df.columns), column="Average", value=df.mean(axis=1, numeric_only=True))
         # Apply rounding only to numeric columns
         numeric_cols = df.select_dtypes(include=["float64", "float32", "int64", "int32"]).columns
         df[numeric_cols] = df[numeric_cols].round(4)