feat(bokeh): implement bubble-packed (#1076)

## Implementation: `bubble-packed` - bokeh

Implements the **bokeh** version of `bubble-packed`.

**File:** `plots/bubble-packed/implementations/bokeh.py`

**Parent Issue:** #992

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20279594515)*

---------

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/bubble-packed/implementations/bokeh.py

@@ -0,0 +1,182 @@
+"""
+bubble-packed: Basic Packed Bubble Chart
+Library: bokeh
+"""
+
+import numpy as np
+from bokeh.io import export_png, output_file, save
+from bokeh.models import ColumnDataSource, LabelSet
+from bokeh.plotting import figure
+
+
+# Data - department budgets (in millions)
+np.random.seed(42)
+categories = [
+    "Engineering",
+    "Marketing",
+    "Sales",
+    "Operations",
+    "HR",
+    "Finance",
+    "R&D",
+    "Legal",
+    "IT",
+    "Customer Support",
+    "Product",
+    "Design",
+    "QA",
+    "Data Science",
+    "Security",
+]
+values = [45, 32, 38, 25, 12, 18, 42, 8, 22, 15, 28, 14, 10, 20, 6]
+
+# Calculate radii from values (scale by area for accurate perception)
+# r = sqrt(value) * scaling factor
+max_radius = 400  # max radius in pixels for display
+radii = np.sqrt(values) / np.sqrt(max(values)) * max_radius
+
+
+# Circle packing simulation - position circles without overlap
+def pack_circles(radii, center=(2400, 1350), iterations=500):
+    """Simple force-directed packing algorithm."""
+    n = len(radii)
+    # Start with random positions near center
+    np.random.seed(42)
+    x = center[0] + (np.random.rand(n) - 0.5) * 1000
+    y = center[1] + (np.random.rand(n) - 0.5) * 600
+
+    for _ in range(iterations):
+        # Pull toward center
+        for i in range(n):
+            dx = center[0] - x[i]
+            dy = center[1] - y[i]
+            dist = np.sqrt(dx**2 + dy**2) + 0.01
+            x[i] += dx * 0.01
+            y[i] += dy * 0.01
+
+        # Push apart overlapping circles
+        for i in range(n):
+            for j in range(i + 1, n):
+                dx = x[j] - x[i]
+                dy = y[j] - y[i]
+                dist = np.sqrt(dx**2 + dy**2) + 0.01
+                min_dist = radii[i] + radii[j] + 10  # 10px padding
+
+                if dist < min_dist:
+                    overlap = (min_dist - dist) / 2
+                    x[i] -= dx / dist * overlap
+                    y[i] -= dy / dist * overlap
+                    x[j] += dx / dist * overlap
+                    y[j] += dy / dist * overlap
+
+    return x, y
+
+
+# Pack circles
+x_pos, y_pos = pack_circles(radii)
+
+# Create color palette - using Python Blue as base with variations
+colors = [
+    "#306998",
+    "#FFD43B",
+    "#4B8BBE",
+    "#FFE873",
+    "#3776AB",
+    "#FFD43B",
+    "#306998",
+    "#4B8BBE",
+    "#FFE873",
+    "#3776AB",
+    "#306998",
+    "#FFD43B",
+    "#4B8BBE",
+    "#FFE873",
+    "#3776AB",
+]
+
+# Prepare data source
+source = ColumnDataSource(
+    data={
+        "x": x_pos,
+        "y": y_pos,
+        "radius": radii,
+        "category": categories,
+        "value": values,
+        "color": colors,
+        "label": [f"{c}\n${v}M" for c, v in zip(categories, values, strict=True)],
+    }
+)
+
+# Create figure
+p = figure(
+    width=4800,
+    height=2700,
+    title="Department Budgets · bubble-packed · bokeh · pyplots.ai",
+    x_range=(0, 4800),
+    y_range=(0, 2700),
+    tools="hover",
+    tooltips=[("Department", "@category"), ("Budget", "$@value M")],
+)
+
+# Draw circles
+p.circle(
+    x="x", y="y", radius="radius", source=source, fill_color="color", fill_alpha=0.85, line_color="white", line_width=3
+)
+
+# Add labels to circles (only for larger circles)
+# Filter labels for bubbles large enough to show text
+label_source = ColumnDataSource(
+    data={
+        "x": [x_pos[i] for i in range(len(values)) if radii[i] > 120],
+        "y": [y_pos[i] for i in range(len(values)) if radii[i] > 120],
+        "text": [categories[i] for i in range(len(values)) if radii[i] > 120],
+        "value_text": [f"${values[i]}M" for i in range(len(values)) if radii[i] > 120],
+    }
+)
+
+labels = LabelSet(
+    x="x",
+    y="y",
+    text="text",
+    source=label_source,
+    text_align="center",
+    text_baseline="middle",
+    text_font_size="24pt",
+    text_color="white",
+    text_font_style="bold",
+    y_offset=15,
+)
+p.add_layout(labels)
+
+value_labels = LabelSet(
+    x="x",
+    y="y",
+    text="value_text",
+    source=label_source,
+    text_align="center",
+    text_baseline="middle",
+    text_font_size="20pt",
+    text_color="white",
+    y_offset=-20,
+)
+p.add_layout(value_labels)
+
+# Style the plot
+p.title.text_font_size = "36pt"
+p.title.align = "center"
+
+# Hide axes - packed bubble charts don't use positional axes
+p.xaxis.visible = False
+p.yaxis.visible = False
+p.xgrid.visible = False
+p.ygrid.visible = False
+
+# Clean background
+p.background_fill_color = "#f8f9fa"
+p.border_fill_color = "#f8f9fa"
+p.outline_line_color = None
+
+# Save as PNG and HTML
+export_png(p, filename="plot.png")
+output_file("plot.html", title="Packed Bubble Chart")
+save(p)

plots/bubble-packed/metadata/bokeh.yaml

@@ -0,0 +1,23 @@
+# Per-library metadata for bokeh implementation of bubble-packed
+# Auto-generated by impl-generate.yml
+
+library: bokeh
+specification_id: bubble-packed
+
+# Preview URLs (filled by workflow)
+preview_url: https://storage.googleapis.com/pyplots-images/plots/bubble-packed/bokeh/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/bubble-packed/bokeh/plot_thumb.png
+preview_html: https://storage.googleapis.com/pyplots-images/plots/bubble-packed/bokeh/plot.html
+
+current:
+  version: 0
+  generated_at: 2025-12-16T19:12:52Z
+  generated_by: claude-opus-4-5-20251101
+  workflow_run: 20279594515
+  issue: 992
+  quality_score: 94
+  # Version info (filled by workflow)
+  python_version: "3.13.11"
+  library_version: "unknown"
+
+history: []