Update app.py

app.py

@@ -180,18 +180,32 @@ def commit(lang) -> None:
 # Visualization helper functions
 # -----------------------------------------------------------------------------
 def create_table_results(df_mean: pd.DataFrame):
+    df_mean = df_mean.copy()
+
+    # Replace inf with NaN
+    df_mean["Mean"] = df_mean["Mean"].replace([float("inf"), float("-inf")], pd.NA)
+
+    # Rank while ignoring NaN
+    ranks = df_mean["Mean"].rank(method="dense", ascending=False)
+
     rank_value = []
-    for i in df_mean["Mean"].rank(method="dense", ascending=False).astype(int):
-        if i == 1:
-            rank_value.append(f"{i} 🥇")
-        elif i == 2:
-            rank_value.append(f"{i} 🥈")
-        elif i == 3:
-            rank_value.append(f"{i} 🥉")
+    for i in ranks:
+        if pd.isna(i):
+            rank_value.append("—")  # or "N/A"
         else:
-            rank_value.append(str(i))
+            i = int(i)
+            if i == 1:
+                rank_value.append(f"{i} 🥇")
+            elif i == 2:
+                rank_value.append(f"{i} 🥈")
+            elif i == 3:
+                rank_value.append(f"{i} 🥉")
+            else:
+                rank_value.append(str(i))
+
     df_mean.insert(0, "Rank", rank_value)
     df_final = df_mean.sort_values("Mean", ascending=False)
+
     st.dataframe(
         df_final,
         hide_index=True,
@@ -203,7 +217,6 @@ def create_table_results(df_mean: pd.DataFrame):
         },
     )
 
-
 def create_table_all_results(aggregated_df: pd.DataFrame):
     combined_df = create_data_results_per_language()
     df_lang = combined_df.pivot(