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app.py

@@ -42,4 +42,7 @@ if __name__ == "__main__":
     result_sheet = resutls[result_id][dataset]
 
     # Visualize the data stored as a pandas dataframe
-    st.dataframe(result_sheet)
+    st.dataframe(
+        result_sheet,
+        hide_index=True,
+    )

data_loader.py

@@ -156,15 +156,17 @@ def load_data(file_name):
                 dataset_name = datasets[task_id][dataset_id]
 
                 dataset_data = sheet_data.iloc[row_ids[i] + 1: row_ids[i + 1]]
-                dataset_data = dataset_data.fillna('')
-                # dataset_data = dataset_data.dropna(axis=1, how='all')
-                # dataset_data = dataset_data.dropna(axis=0, how='all')
+                dataset_data = dataset_data.fillna('-')
                 header = sheet_data.iloc[0]
                 header[0] = "Models"
 
                 # Create new pandas dataframe
                 dataset_data = pd.DataFrame(
                     dataset_data.values, columns=header)
+                # column_dtypes = {'Models': 'string'}
+                # for column in header[1:]:
+                #     column_dtypes[column] = 'float'
+                # dataset_data = dataset_data.astype(column_dtypes)
                 results_by_dataset[dataset_name] = dataset_data
 
             results[f"{task_id}-{setting_id}"] = results_by_dataset