Update app.py

app.py

@@ -167,25 +167,12 @@ def _nice_tick0(xmin: float, step: int = 100) -> float:
     return step * math.floor(xmin / step)
 
 # ---------- Plot builders ----------
-def _nice_step(lo: float, hi: float, target_ticks: int = 6) -> float:
-    """Choose a pleasant dtick so labels look nice and consistent."""
-    rng = max(hi - lo, 1.0)
-    raw = rng / max(target_ticks, 1)
-    mag = 10 ** math.floor(math.log10(raw))
-    for m in [1, 2, 2.5, 5, 10]:
-        step = m * mag
-        if raw <= step:
-            return step
-    return mag * 10
-
 def cross_plot(actual, pred):
     a = pd.Series(actual).astype(float)
     p = pd.Series(pred).astype(float)
 
-    # Get global min/max across both actual and predicted
-    all_vals = pd.concat([a, p])
-    lo = float(np.floor(all_vals.min() / 100) * 100)
-    hi = float(np.ceil(all_vals.max() / 100) * 100)
+    fixed_min = 6000
+    fixed_max = 10000
 
     fig = go.Figure()
 
@@ -196,8 +183,9 @@ def cross_plot(actual, pred):
         showlegend=False
     ))
 
+    # Diagonal reference line (45°)
     fig.add_trace(go.Scatter(
-        x=[lo, hi], y=[lo, hi], mode="lines",
+        x=[fixed_min, fixed_max], y=[fixed_min, fixed_max], mode="lines",
         line=dict(color=COLORS["ref"], width=1.2, dash="dash"),
         hoverinfo="skip", showlegend=False
     ))
@@ -207,21 +195,22 @@ def cross_plot(actual, pred):
         paper_bgcolor="#fff", plot_bgcolor="#fff",
         margin=dict(l=64, r=18, t=10, b=48),
         hovermode="closest",
-        font=dict(size=FONT_SZ)
+        font=dict(size=FONT_SZ),
+        dragmode="zoom",  # enables box zoom
     )
 
-    # Set same range and ticks for both axes
+    # Apply fixed range and identical ticks
     fig.update_xaxes(
         title_text="<b>Actual UCS (psi)</b>",
-        range=[lo, hi], tickformat=",.0f",
-        ticks="outside",
+        range=[fixed_min, fixed_max],
+        tickformat=",.0f", ticks="outside",
         showline=True, linewidth=1.2, linecolor="#444", mirror=True,
         showgrid=True, gridcolor="rgba(0,0,0,0.12)", automargin=True
     )
     fig.update_yaxes(
         title_text="<b>Predicted UCS (psi)</b>",
-        range=[lo, hi], tickformat=",.0f",
-        ticks="outside",
+        range=[fixed_min, fixed_max],
+        tickformat=",.0f", ticks="outside",
         showline=True, linewidth=1.2, linecolor="#444", mirror=True,
         showgrid=True, gridcolor="rgba(0,0,0,0.12)",
         scaleanchor="x", scaleratio=1, automargin=True
@@ -231,6 +220,8 @@ def cross_plot(actual, pred):
 
 
 
+
+
 def track_plot(df, include_actual=True):
     depth_col = next((c for c in df.columns if 'depth' in str(c).lower()), None)
     if depth_col is not None: