MarkusNeusinger
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+""" anyplot.ai
+area-mountain-panorama: Mountain Panorama Profile with Labeled Peaks
+Library: bokeh 3.9.0 | Python 3.14.4
+Quality: 86/100 | Created: 2026-04-25
+"""
+
+import os
+
+import numpy as np
+from bokeh.io import export_png, output_file, save
+from bokeh.models import FixedTicker, Label
+from bokeh.plotting import figure
+
+
+# Theme tokens
+THEME = os.getenv("ANYPLOT_THEME", "light")
+PAGE_BG = "#FAF8F1" if THEME == "light" else "#1A1A17"
+ELEVATED_BG = "#FFFDF6" if THEME == "light" else "#242420"
+INK = "#1A1A17" if THEME == "light" else "#F0EFE8"
+INK_SOFT = "#4A4A44" if THEME == "light" else "#B8B7B0"
+INK_MUTED = "#6B6A63" if THEME == "light" else "#A8A79F"
+BRAND = "#009E73"  # Okabe-Ito position 1 — always first series
+
+# Data — Wallis (Valais, Switzerland) summit panorama, ordered W → E
+peaks = [
+    ("Weisshorn", 8, 4506),
+    ("Zinalrothorn", 20, 4221),
+    ("Ober Gabelhorn", 31, 4063),
+    ("Dent Blanche", 42, 4358),
+    ("Matterhorn", 58, 4478),
+    ("Breithorn", 72, 4164),
+    ("Pollux", 81, 4092),
+    ("Castor", 89, 4223),
+    ("Liskamm", 97, 4527),
+    ("Dufourspitze", 109, 4634),
+    ("Strahlhorn", 121, 4190),
+    ("Rimpfischhorn", 132, 4199),
+    ("Allalinhorn", 142, 4027),
+    ("Alphubel", 152, 4206),
+    ("Täschhorn", 162, 4491),
+    ("Dom", 174, 4545),
+]
+
+# Build ridgeline control points: peaks alternating with saddles (cols)
+np.random.seed(42)
+ctrl_x = [-3.0]
+ctrl_y = [3250.0]
+for i, (_, ang, el) in enumerate(peaks):
+    ctrl_x.append(float(ang))
+    ctrl_y.append(float(el))
+    if i < len(peaks) - 1:
+        next_ang = peaks[i + 1][1]
+        next_el = peaks[i + 1][2]
+        col_ang = (ang + next_ang) / 2 + np.random.uniform(-1.2, 1.2)
+        col_drop = np.random.uniform(420, 820)
+        col_el = min(el, next_el) - col_drop
+        ctrl_x.append(float(col_ang))
+        ctrl_y.append(float(col_el))
+ctrl_x.append(184.0)
+ctrl_y.append(3350.0)
+ctrl_x = np.array(ctrl_x)
+ctrl_y = np.array(ctrl_y)
+
+# Smooth ridgeline via cosine smoothstep between adjacent control points
+ridge_x = []
+ridge_y = []
+for i in range(len(ctrl_x) - 1):
+    n = 80
+    last = i == len(ctrl_x) - 2
+    t = np.linspace(0.0, 1.0, n, endpoint=last)
+    s = 0.5 - 0.5 * np.cos(np.pi * t)
+    ridge_x.append(ctrl_x[i] + (ctrl_x[i + 1] - ctrl_x[i]) * t)
+    ridge_y.append(ctrl_y[i] + (ctrl_y[i + 1] - ctrl_y[i]) * s)
+ridge_x = np.concatenate(ridge_x)
+ridge_y = np.concatenate(ridge_y)
+
+# Anchor the silhouette polygon at the lower edge of the visible y-range
+Y_FLOOR = 2500
+poly_x = np.concatenate([[ridge_x[0]], ridge_x, [ridge_x[-1]]])
+poly_y = np.concatenate([[Y_FLOOR], ridge_y, [Y_FLOOR]])
+
+# Plot
+p = figure(
+    width=4800,
+    height=2700,
+    title="Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai",
+    y_axis_label="Elevation (m)",
+    x_range=(-3, 184),
+    y_range=(Y_FLOOR, 5400),
+    background_fill_color=PAGE_BG,
+    border_fill_color=PAGE_BG,
+    toolbar_location=None,
+)
+
+# Mountain silhouette (first categorical series — brand green)
+p.patch(poly_x, poly_y, fill_color=BRAND, line_color=BRAND, line_width=2)
+
+# Peak labels staggered across three vertical tiers, with thin leader lines + summit dots
+LEVEL_TIERS = [4880, 5040, 5200]
+labels = []
+for i, (name, ang, el) in enumerate(peaks):
+    label_y = LEVEL_TIERS[i % 3]
+    is_focal = name == "Matterhorn"
+    leader_color = INK if is_focal else INK_SOFT
+    leader_alpha = 0.9 if is_focal else 0.55
+    leader_width = 3.0 if is_focal else 1.8
+
+    # Leader line from just above summit to just below the label block
+    p.line(
+        [ang, ang], [el + 25, label_y - 90], line_color=leader_color, line_alpha=leader_alpha, line_width=leader_width
+    )
+
+    # Summit dot — slightly larger and inked for the focal peak
+    p.scatter(
+        [ang],
+        [el],
+        size=26 if is_focal else 16,
+        fill_color=INK if is_focal else INK_SOFT,
+        line_color=PAGE_BG,
+        line_width=2,
+    )
+
+    # Name (top of stacked label block)
+    labels.append(
+        Label(
+            x=ang,
+            y=label_y + 55,
+            text=name,
+            text_color=INK,
+            text_font_size="24pt" if is_focal else "20pt",
+            text_font_style="bold" if is_focal else "normal",
+            text_align="center",
+            text_baseline="bottom",
+        )
+    )
+
+    # Elevation (bottom of stacked label block)
+    labels.append(
+        Label(
+            x=ang,
+            y=label_y + 30,
+            text=f"{el:,} m",
+            text_color=INK_SOFT,
+            text_font_size="18pt",
+            text_align="center",
+            text_baseline="top",
+        )
+    )
+
+for lbl in labels:
+    p.add_layout(lbl)
+
+# Typography
+p.title.text_font_size = "36pt"
+p.title.text_color = INK
+p.title.text_font_style = "normal"
+p.title.align = "center"
+
+p.yaxis.axis_label_text_font_size = "24pt"
+p.yaxis.axis_label_text_color = INK
+p.yaxis.major_label_text_font_size = "20pt"
+p.yaxis.major_label_text_color = INK_SOFT
+p.yaxis.axis_line_color = INK_SOFT
+p.yaxis.major_tick_line_color = INK_SOFT
+p.yaxis.minor_tick_line_color = None
+p.yaxis.ticker = FixedTicker(ticks=[2500, 3000, 3500, 4000, 4500, 5000])
+p.yaxis.axis_label_standoff = 18
+
+# Hide x-axis entirely — the panorama silhouette is the visual; bearings would clutter it
+p.xaxis.visible = False
+
+# Grid: y-only, very subtle
+p.outline_line_color = None
+p.xgrid.grid_line_color = None
+p.ygrid.grid_line_color = INK
+p.ygrid.grid_line_alpha = 0.10
+
+# Save
+export_png(p, filename=f"plot-{THEME}.png")
+output_file(f"plot-{THEME}.html", title="Wallis 4000ers · area-mountain-panorama · bokeh · anyplot.ai")
+save(p)