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feat(altair): implement line-timeseries-rolling#2819

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github-actions[bot] merged 4 commits intomainfrom
implementation/line-timeseries-rolling/altair
Dec 30, 2025
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feat(altair): implement line-timeseries-rolling#2819
github-actions[bot] merged 4 commits intomainfrom
implementation/line-timeseries-rolling/altair

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Implementation: line-timeseries-rolling - altair

Implements the altair version of line-timeseries-rolling.

File: plots/line-timeseries-rolling/implementations/altair.py


🤖 impl-generate workflow

github-actions Bot and others added 2 commits December 30, 2025 17:49
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claude Bot commented Dec 30, 2025

AI Review - Attempt 1/3

Image Description

The plot displays a time series of daily temperature data over approximately 6 months (January to late June 2024). It features two overlaid lines: a thin, semi-transparent blue line representing "Raw Data" showing daily fluctuations with considerable noise, and a prominent thicker yellow/gold line representing the "7-Day Rolling Average" that smoothly reveals the underlying seasonal warming trend. The temperature rises from around -2°C in winter to approximately 22°C in early summer. The chart has a white background with subtle dashed grid lines, clear axis labels with units ("Date" and "Temperature (°C)"), and a well-positioned legend in the top-right corner. The title follows the required format.

Quality Score: 93/100

Criteria Checklist

Visual Quality (37/40 pts)

  • VQ-01: Text Legibility (10/10) - Title at 28pt, axis labels at 22pt, tick labels at 18pt, all clearly readable
  • VQ-02: No Overlap (8/8) - No overlapping text, x-axis date labels are well-spaced
  • VQ-03: Element Visibility (7/8) - Lines are well-differentiated with appropriate stroke widths (1.5 vs 4) and opacity (0.5 vs 1.0); raw data could be slightly more visible
  • VQ-04: Color Accessibility (5/5) - Blue (#306998) and yellow (#FFD43B) are colorblind-safe, high contrast
  • VQ-05: Layout Balance (5/5) - Good use of canvas, balanced margins, plot fills appropriate space
  • VQ-06: Axis Labels (2/2) - "Date" and "Temperature (°C)" with units
  • VQ-07: Grid & Legend (0/2) - Grid is subtle with dashed style and 0.3 opacity; however legend overlaps with data points in the upper-right area

Spec Compliance (25/25 pts)

  • SC-01: Plot Type (8/8) - Correct line chart with two series
  • SC-02: Data Mapping (5/5) - Date on X, temperature values on Y
  • SC-03: Required Features (5/5) - Raw data with lighter style, rolling average prominent, legend distinguishes series, window size in legend
  • SC-04: Data Range (3/3) - Axes show all data properly with zero=False for better visualization
  • SC-05: Legend Accuracy (2/2) - Legend correctly shows "Raw Data" and "7-Day Rolling Average"
  • SC-06: Title Format (2/2) - Uses correct format: "line-timeseries-rolling · altair · pyplots.ai"

Data Quality (19/20 pts)

  • DQ-01: Feature Coverage (7/8) - Shows seasonal trend well, noise vs smoothed pattern clear; could show more dramatic short-term spikes
  • DQ-02: Realistic Context (7/7) - Temperature data with seasonal variation is a perfect realistic scenario
  • DQ-03: Appropriate Scale (5/5) - Temperature values from -8°C to 30°C are realistic for a temperate climate winter-to-summer transition

Code Quality (10/10 pts)

  • CQ-01: KISS Structure (3/3) - Simple imports → data → plot → save structure, no functions/classes
  • CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
  • CQ-03: Clean Imports (2/2) - Only necessary imports (altair, numpy, pandas)
  • CQ-04: No Deprecated API (1/1) - Uses current Altair API
  • CQ-05: Output Correct (1/1) - Saves as plot.png with scale_factor=3.0

Library Features (5/5 pts)

  • LF-01: Uses distinctive library features (5/5) - Excellent use of Altair's declarative grammar: alt.condition for conditional styling, pd.melt for tidy data format, proper encoding types (:T, :Q, :N), configure_axis for styling

Strengths

  • Excellent use of Altair's declarative grammar with conditional encoding for strokeWidth and opacity
  • Clean data transformation using pd.melt for tidy/long format suitable for Altair
  • Well-chosen color scheme (#306998 blue, #FFD43B yellow) that is colorblind-safe
  • Realistic temperature data scenario with clear seasonal trend
  • Proper use of centered rolling window (center=True) for accurate moving average alignment

Weaknesses

  • Legend placement overlaps slightly with data points in the upper-right corner; could use orient="bottom" or place outside the plot area

Verdict: APPROVED

@github-actions github-actions Bot added the quality:93 Quality score 93/100 label Dec 30, 2025
@github-actions github-actions Bot added the ai-approved Quality OK, ready for merge label Dec 30, 2025
@github-actions github-actions Bot merged commit c69922a into main Dec 30, 2025
3 checks passed
@github-actions github-actions Bot deleted the implementation/line-timeseries-rolling/altair branch December 30, 2025 18:02
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