update

app.py

@@ -359,18 +359,18 @@ def create_category_scaling_plot(data_manager: DataManager, period: str, selecte
         fig.update_layout(title={"text": "Scaling Law by Dataset", "x": 0.5}, width=1000, height=700)
         return fig
 
-    # 颜色配色方案 - 使用区分度高的颜色
+    # 颜色配色方案 - 使用高对比度、饱和度高的颜色
     color_palette = [
-        "#39C5BB",  # 青色
-        "#FF6B6B",  # 珊瑚红
-        "#4ECDC4",  # 青绿
-        "#FFE66D",  # 金黄
-        "#95E1D3",  # 薄荷绿
-        "#F38181",  # 粉红
-        "#AA96DA",  # 淡紫
-        "#FCBAD3",  # 浅粉
-        "#A8D8EA",  # 天蓝
-        "#FF9F43",  # 橙色
+        "#1f77b4",  # 蓝色
+        "#ff7f0e",  # 橙色
+        "#2ca02c",  # 绿色
+        "#d62728",  # 红色
+        "#9467bd",  # 紫色
+        "#8c564b",  # 棕色
+        "#e377c2",  # 粉色
+        "#17becf",  # 青色
+        "#bcbd22",  # 黄绿色
+        "#7f7f7f",  # 灰色
     ]
 
     fig = go.Figure()

data_manager.py

@@ -252,12 +252,12 @@ class DataManager:
             "arxiv physics",
             "arxiv cs",
             "arxiv math",
-            # 写作 (Writing)
-            "ao3 english",
-            "github markdown",
             # 世界知识 (World Knowledge)
             "bbc news",
             "wikipedia english",
+            # 写作 (Writing)
+            "ao3 english",
+            "github markdown",
         ]
         existing_cols = filtered_df.columns.tolist()
         ordered_cols = []