feat(plotly): implement polar-bar (#2743)

## Implementation: `polar-bar` - plotly

Implements the **plotly** version of `polar-bar`.

**File:** `plots/polar-bar/implementations/plotly.py`

---
:robot: *[impl-generate
workflow](https://github.com/MarkusNeusinger/pyplots/actions/runs/20601055131)*

---------

Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>

Author: github-actions[bot]

plots/polar-bar/implementations/plotly.py

@@ -0,0 +1,98 @@
+""" pyplots.ai
+polar-bar: Polar Bar Chart (Wind Rose)
+Library: plotly 6.5.0 | Python 3.13.11
+Quality: 91/100 | Created: 2025-12-30
+"""
+
+import numpy as np
+import plotly.graph_objects as go
+
+
+# Data: Wind speed distribution by direction (8 compass points)
+# Each direction has 3 speed ranges (stacked bars)
+np.random.seed(42)
+
+directions = ["N", "NE", "E", "SE", "S", "SW", "W", "NW"]
+
+# Wind speed frequencies by direction (simulating typical coastal wind patterns)
+# Light breeze (0-10 km/h)
+light = np.array([8, 5, 4, 3, 6, 12, 15, 10])
+# Moderate breeze (10-20 km/h)
+moderate = np.array([6, 4, 3, 2, 4, 10, 12, 8])
+# Strong breeze (20+ km/h)
+strong = np.array([3, 2, 1, 1, 2, 5, 6, 4])
+
+# Create figure with polar subplot
+fig = go.Figure()
+
+# Add stacked bars for each wind speed category (base is cumulative)
+fig.add_trace(
+    go.Barpolar(
+        r=light,
+        theta=directions,
+        name="Light (0-10 km/h)",
+        marker=dict(color="#306998", line=dict(color="white", width=2)),
+        opacity=0.9,
+    )
+)
+
+fig.add_trace(
+    go.Barpolar(
+        r=moderate,
+        theta=directions,
+        name="Moderate (10-20 km/h)",
+        marker=dict(color="#FFD43B", line=dict(color="white", width=2)),
+        opacity=0.9,
+    )
+)
+
+fig.add_trace(
+    go.Barpolar(
+        r=strong,
+        theta=directions,
+        name="Strong (20+ km/h)",
+        marker=dict(color="#4ECDC4", line=dict(color="white", width=2)),
+        opacity=0.9,
+    )
+)
+
+# Update layout for polar chart
+fig.update_layout(
+    title=dict(text="polar-bar · plotly · pyplots.ai", font=dict(size=32, color="#333"), x=0.5, y=0.95),
+    polar=dict(
+        barmode="stack",
+        radialaxis=dict(
+            visible=True,
+            range=[0, max(light + moderate + strong) + 3],
+            tickfont=dict(size=18),
+            tickangle=45,
+            gridcolor="rgba(0,0,0,0.2)",
+            linecolor="rgba(0,0,0,0.3)",
+            title=dict(text="Frequency (%)", font=dict(size=18)),
+        ),
+        angularaxis=dict(
+            tickfont=dict(size=22, color="#333"),
+            direction="clockwise",
+            rotation=90,  # N at top
+            gridcolor="rgba(0,0,0,0.15)",
+            linecolor="rgba(0,0,0,0.3)",
+        ),
+        bgcolor="rgba(255,255,255,0.95)",
+    ),
+    legend=dict(
+        font=dict(size=20),
+        x=0.85,
+        y=0.95,
+        bgcolor="rgba(255,255,255,0.9)",
+        bordercolor="rgba(0,0,0,0.2)",
+        borderwidth=1,
+    ),
+    template="plotly_white",
+    margin=dict(l=80, r=180, t=120, b=80),
+)
+
+# Save as PNG (4800 x 2700 px)
+fig.write_image("plot.png", width=1600, height=900, scale=3)
+
+# Save interactive HTML
+fig.write_html("plot.html", include_plotlyjs=True, full_html=True)

plots/polar-bar/metadata/plotly.yaml

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+library: plotly
+specification_id: polar-bar
+created: '2025-12-30T16:29:47Z'
+updated: '2025-12-30T16:35:48Z'
+generated_by: claude-opus-4-5-20251101
+workflow_run: 20601055131
+issue: 0
+python_version: 3.13.11
+library_version: 6.5.0
+preview_url: https://storage.googleapis.com/pyplots-images/plots/polar-bar/plotly/plot.png
+preview_thumb: https://storage.googleapis.com/pyplots-images/plots/polar-bar/plotly/plot_thumb.png
+preview_html: https://storage.googleapis.com/pyplots-images/plots/polar-bar/plotly/plot.html
+quality_score: 91
+review:
+  strengths:
+  - Excellent wind rose visualization with properly stacked bars for three wind speed
+    categories
+  - Clean polar layout with N correctly positioned at top using rotation=90 and clockwise
+    direction
+  - Good color scheme with white bar separators enhancing readability
+  - Proper use of Plotly Barpolar trace for polar bar charts
+  - Realistic coastal wind pattern data with believable directional distribution
+  weaknesses:
+  - Radial axis tick labels are slightly small and angled, could be larger for better
+    legibility
+  - Does not leverage Plotly interactive features like custom hover templates
+  - Legend text could benefit from slightly better styling to match overall polish