修复了小数位保留的bug

app.py

@@ -206,7 +206,8 @@ def get_page(dataset: str, config: str, split: str, page: str) -> Tuple[str, int
 # Gradio app
 #####################################################
 
-
+# 存取状态
+# 保留小数位
 with gr.Blocks() as demo:
     # 初始化组件
     gr.Markdown("A tool for interactive observation of lotsa dataset, extended from lhoestq/datasets-explorer")

utils.py

@@ -91,10 +91,10 @@ def create_statistic(dfs: list[pd.DataFrame], ids: list[str]):
     for df, id in zip(dfs, ids):
         df_values = df.iloc[:, 1:]
         # 计算统计值
-        mean_values = df_values.mean().round(2)
-        std_values = df_values.std().round(2)
-        max_values = df_values.max().round(2)
-        min_values = df_values.min().round(2)
+        mean_values = df_values.mean()
+        std_values = df_values.std()
+        max_values = df_values.max()
+        min_values = df_values.min()
 
         # 将这些统计信息合并成一个新的DataFrame
         stats_df = pd.DataFrame({
@@ -108,6 +108,7 @@ def create_statistic(dfs: list[pd.DataFrame], ids: list[str]):
 
     # 合并所有统计信息DataFrame
     combined_stats_df = pd.concat(stats_list, ignore_index=True)
+    combined_stats_df = combined_stats_df.applymap(lambda x: round(x, 2) if isinstance(x, (int, float)) else x)
     return combined_stats_df
 
 def clean_up_df(df: pd.DataFrame, rows_to_include: list[int]) -> pd.DataFrame: