Update app.py

app.py

@@ -441,29 +441,28 @@ def cross_plot_static(actual, pred):
     return fig
 
 # =========================
-# Track plot (Plotly)
+# Track plot (Plotly) — y-axis reversed
 # =========================
 def track_plot(df, include_actual=True, pred_col="GR_Pred", actual_col="GR"):
-    # --- helper to guarantee a 1D series even if there are duplicate column names
+    # ensure 1D series even if duplicate col names exist
     def _col_1d(frame: pd.DataFrame, col: str) -> pd.Series:
         if col not in frame.columns:
             return pd.Series(dtype=float)
         v = frame[col]
-        if isinstance(v, pd.DataFrame):  # happens when there are duplicate column names
+        if isinstance(v, pd.DataFrame):
             v = v.iloc[:, 0]
         return pd.Series(v, dtype=float)
 
+    # Depth (or index) for y
     depth_col = next((c for c in df.columns if 'depth' in str(c).lower()), None)
     if depth_col is not None:
         y = pd.Series(df[depth_col]).astype(float)
         ylab = depth_col
-        y_range = [float(y.max()), float(y.min())]  # reverse for logs
     else:
-        y = pd.Series(np.arange(1, len(df) + 1))
+        y = pd.Series(np.arange(1, len(df) + 1), dtype=float)
         ylab = "Point Index"
-        y_range = [float(y.max()), float(y.min())]
 
-    # X (GR) range & ticks
+    # X (GR) domain and ticks
     x_pred = _col_1d(df, pred_col)
     if include_actual and actual_col in df.columns:
         x_act = _col_1d(df, actual_col)
@@ -512,16 +511,19 @@ def track_plot(df, include_actual=True, pred_col="GR_Pred", actual_col="GR"):
         showline=True, linewidth=1.2, linecolor="#444", mirror=True,
         showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
     )
+    # The key change: reverse y-axis universally
     fig.update_yaxes(
-        title_text=f"{ylab}",
+        title_text=ylab,
         title_font=dict(size=20, family=BOLD_FONT, color="#000"),
         tickfont=dict(size=15, family=BOLD_FONT, color="#000"),
-        range=y_range, ticks="outside",
+        autorange="reversed",           # <-- ensures top=shallow, bottom=deep
+        ticks="outside",
         showline=True, linewidth=1.2, linecolor="#444", mirror=True,
         showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
     )
     return fig
 
+
 # ---------- Preview modal (matplotlib) ----------
 def preview_tracks(df: pd.DataFrame, cols: list[str]):
     cols = [c for c in cols if c in df.columns]