Udate

app.py

@@ -68,20 +68,14 @@ with main:
                 value=ORDER_LIST,
             )
             # Dataframe component to display the leaderboard data
-            # data_component = gr.components.Dataframe(
-            #     value=PES_ACCS,
-            #     headers=COLUMN_HEADERS,
-            #     type="pandas",
-            #     datatype=DATA_TYPES,
-            #     interactive=False,
-            #     visible=True,
-            #     # column_widths=[400] + [250] * (len(COLUMN_HEADERS) - 1)
-            # )
-            data_component = gr.HTML(value=PES_ACCS.to_html())
-            columns_selector.change(
-                filter_columns,
-                inputs=columns_selector,
-                outputs=data_component
+            data_component = gr.components.Dataframe(
+                value=PES_ACCS,
+                headers=COLUMN_HEADERS,
+                type="pandas",
+                datatype=DATA_TYPES,
+                interactive=False,
+                visible=True,
+                # column_widths=[400] + [250] * (len(COLUMN_HEADERS) - 1)
             )
             def update_dataframe(selected_columns):
                 return filter_columns(selected_columns)

src/structures/pes_structure.py

@@ -38,11 +38,8 @@ def filter_data(selected_columns, search_query):
 
 def filter_columns(column_choices):
     selected_columns = [col for col in ORDER_LIST if col in column_choices]
-    styled_df = PES_ACCS[selected_columns].style.highlight_max(
-        color=highlight_color, subset=selected_columns[1:]
-    )
-    # Convert to HTML
-    return styled_df.to_html()
+    filtered_df = PES_ACCS[selected_columns]
+    return filtered_df.style.highlight_max(color=highlight_color, subset=filtered_df.columns[1:]).format(precision=2)
 
 
 def load_json_data(file_path, order_list):