feat(bokeh): implement polar-line

[github-actions]

Implementation: polar-line - bokeh

Implements the bokeh version of polar-line.

File: plots/polar-line/implementations/bokeh.py

---

🤖 impl-generate workflow

[claude]

AI Review - Attempt 1/3

Image Description

The plot shows a polar line chart visualizing wind speed patterns over 24 hours for two days. The chart uses a circular layout with hour labels (0h-22h) positioned around the perimeter at 2-hour intervals. Concentric circles represent wind speed values (2, 4, 6, 8, 10 m/s). Two line series are displayed: Day 1 in blue (#306998) and Day 2 in yellow (#FFD43B), both with data markers. The lines form closed loops connecting back to the starting point. The plot has a light gray background (#fafafa) with subtle gray grid lines. A legend in the top-right corner identifies the two series. The title "polar-line · bokeh · pyplots.ai" is centered at the top.

Quality Score: 91/100

Criteria Checklist

Visual Quality (36/40 pts)

• VQ-01: Text Legibility (9/10) - Title at 32pt, hour labels at 18pt, all clearly readable. Radius labels slightly small at 14pt.
• VQ-02: No Overlap (8/8) - No overlapping text elements
• VQ-03: Element Visibility (8/8) - Lines at width=4 and markers at size=12 are well-suited for the data density (~26 points per series)
• VQ-04: Color Accessibility (5/5) - Blue and yellow are colorblind-safe, good contrast against background
• VQ-05: Layout Balance (4/5) - Good canvas utilization, though plot is slightly positioned toward upper half
• VQ-06: Axis Labels (0/2) - No axis labels visible (axes hidden for polar plot, but no "Wind Speed (m/s)" label on radial axis)
• VQ-07: Grid & Legend (2/2) - Grid is subtle with alpha=0.5, legend well-placed in top-right

Spec Compliance (25/25 pts)

• SC-01: Plot Type (8/8) - Correct polar line plot with angular and radial dimensions
• SC-02: Data Mapping (5/5) - Theta (hours) correctly mapped to angle, radius (wind speed) correctly mapped to distance from center
• SC-03: Required Features (5/5) - Multiple series shown, lines connect points in theta order, grid lines are concentric circles and radial lines
• SC-04: Data Range (3/3) - Full 24-hour cycle shown, wind speed range appropriate
• SC-05: Legend Accuracy (2/2) - Legend correctly identifies Day 1 and Day 2
• SC-06: Title Format (2/2) - Uses correct format: "polar-line · bokeh · pyplots.ai"

Data Quality (18/20 pts)

• DQ-01: Feature Coverage (7/8) - Shows cyclical pattern, multiple series with variation, closed loop. Could show more extreme variation between days.
• DQ-02: Realistic Context (7/7) - Wind speed over 24 hours is an excellent, neutral, real-world scenario
• DQ-03: Appropriate Scale (4/5) - Wind speeds 0.5-10 m/s are realistic, though slightly high for some hours

Code Quality (9/10 pts)

• CQ-01: KISS Structure (3/3) - Linear script, no functions/classes
• CQ-02: Reproducibility (3/3) - np.random.seed(42) is set
• CQ-03: Clean Imports (1/2) - ColumnDataSource imported but could be avoided (direct arrays work too)
• CQ-04: No Deprecated API (1/1) - Uses current Bokeh API
• CQ-05: Output Correct (1/1) - Saves as plot.png and plot.html

Library Features (3/5 pts)

• LF-01: Uses distinctive library features (3/5) - Uses ColumnDataSource and export_png, but doesn't leverage Bokeh-specific interactive features like HoverTool. However, for a PNG export this is acceptable.

Strengths

• Excellent simulation of polar coordinates in Bokeh (which lacks native polar support) using manual Cartesian conversion
• Clean, readable hour labels around the perimeter with good spacing
• Appropriate data scenario (wind speed pattern) that naturally fits polar/cyclical visualization
• Good color contrast between the two series (blue/yellow)
• Properly closed loops connecting back to starting point

Weaknesses

• Missing axis label for radial dimension (could add "Wind Speed (m/s)" text annotation)
• Radius labels (2, 4, 6, 8, 10) positioned only on positive X-axis could be more prominent

Verdict: APPROVED