feat: render-column (GT top + algos stacked), fix hour60 parsing, vivid anomaly markers

ts_anomaly_td/io_csv.py

@@ -26,7 +26,21 @@ def read_csv(path: str | Path, value_col: str = "value") -> tuple[list[int], lis
     if "timestamp" not in df.columns or value_col not in df.columns:
         raise ValueError(f"CSV 缺少 timestamp 或 {value_col} 列: {path}")
 
-    timestamps = pd.to_datetime(df["timestamp"])
+    timestamps = pd.to_datetime(df["timestamp"], format="mixed", errors="coerce")
+    if timestamps.isna().any():
+        # 对无法解析的行尝试修正（如 00:60:00 → 01:00:00）
+        import re
+        na_mask = timestamps.isna()
+        raw_strs = df.loc[na_mask, "timestamp"].astype(str)
+
+        def _fix_hour60(s: str) -> str:
+            def _repl(m):
+                h = (int(m.group(1)) + 1) % 24
+                return f"{h:02d}:00:00"
+            return re.sub(r"(\d{2}):60:00", _repl, s)
+
+        fixed = raw_strs.apply(_fix_hour60)
+        timestamps.loc[na_mask] = pd.to_datetime(fixed, errors="coerce")
     timestamps_ms = (timestamps.astype("int64") // 10**6).tolist()
 
     values = df[value_col].astype(float).tolist()