feat: generate better looking curves

utils/flat_user_detail.py

@@ -53,7 +53,10 @@ y_data = df["dxRating"].to_list()
 
 
 def init_chart(
-    x_type: Literal["value", "log"], x_min: int = 1, x_max: int = 5000
+    x_type: Literal["value", "log"],
+    x_min: int = 1,
+    x_max: int = 5000,
+    y_max: int = 330,
 ) -> Scatter:
     return (
         Scatter(
@@ -73,7 +76,8 @@ def init_chart(
                 type_="value",
                 axistick_opts=opts.AxisTickOpts(is_show=True),
                 splitline_opts=opts.SplitLineOpts(is_show=True),
-                max_=330,
+                min_=50,
+                max_=y_max,
             ),
             tooltip_opts=opts.TooltipOpts(is_show=False),
             visualmap_opts=opts.VisualMapOpts(max_=330),
@@ -89,5 +93,16 @@ def init_chart(
 
 
 x_max = (x_data[-1] // 50 * 50) + 50
-init_chart("value", 1, x_max).render(f"{user_id}-pc-rating-linear.html")
-init_chart("log", 1, x_max).render(f"{user_id}-pc-rating-log.html")
+y_max = min(330, (y_data[-1] // 50 * 50) + 50)
+init_chart(
+    "value",
+    1,
+    x_max,
+    y_max=y_max,
+).render(f"{user_id}-pc-rating-linear.html")
+init_chart(
+    "log",
+    (x_max // 100) or 10,
+    x_max,
+    y_max=y_max,
+).render(f"{user_id}-pc-rating-log.html")