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‎plots/chessboard-basic/implementations/altair.py‎

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""" pyplots.ai
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chessboard-basic: Chess Board Grid Visualization
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Library: altair 6.0.0 | Python 3.13.11
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Quality: 95/100 | Created: 2026-01-08
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"""
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import altair as alt
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import pandas as pd
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# Data - Create 8x8 chess board
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columns = list("abcdefgh")
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rows = list(range(1, 9))
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# Generate all 64 squares with color assignments
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# Light squares at h1 and a8 corners (standard chess convention)
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data = []
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for col_idx, col in enumerate(columns):
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for row in rows:
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# Chess coloring: (col_idx + row) even = dark, odd = light
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is_light = (col_idx + row) % 2 == 1
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data.append({"column": col, "row": row, "color": "light" if is_light else "dark", "x": col_idx, "y": row - 1})
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df = pd.DataFrame(data)
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# Create chart with rect marks for squares
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chart = (
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alt.Chart(df)
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.mark_rect(stroke="#5D4037", strokeWidth=1)
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.encode(
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x=alt.X(
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"column:O",
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axis=alt.Axis(title=None, labelFontSize=24, labelAngle=0, orient="bottom", labelPadding=10),
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sort=columns,
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),
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y=alt.Y(
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"row:O", axis=alt.Axis(title=None, labelFontSize=24, labelPadding=10), sort=list(range(8, 0, -1))
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), # 8 at top, 1 at bottom
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color=alt.Color(
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"color:N",
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scale=alt.Scale(
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domain=["light", "dark"],
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range=["#F5DEB3", "#8B4513"], # Wheat / Saddle Brown
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),
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legend=None,
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),
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)
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.properties(
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width=900,
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height=900,
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title=alt.Title("chessboard-basic · altair · pyplots.ai", fontSize=32, anchor="middle", offset=20),
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)
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.configure_view(strokeWidth=2, stroke="#3E2723")
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.configure_axis(labelColor="#333333", tickColor="#333333")
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)
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# Save outputs
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chart.save("plot.png", scale_factor=4.0)
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chart.save("plot.html")

‎plots/chessboard-basic/metadata/altair.yaml‎

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library: altair
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specification_id: chessboard-basic
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created: '2026-01-08T22:36:40Z'
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updated: '2026-01-08T22:39:24Z'
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generated_by: claude-opus-4-5-20251101
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workflow_run: 20834085094
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issue: 3340
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python_version: 3.13.11
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library_version: 6.0.0
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preview_url: https://storage.googleapis.com/pyplots-images/plots/chessboard-basic/altair/plot.png
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preview_thumb: https://storage.googleapis.com/pyplots-images/plots/chessboard-basic/altair/plot_thumb.png
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preview_html: https://storage.googleapis.com/pyplots-images/plots/chessboard-basic/altair/plot.html
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quality_score: 95
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review:
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strengths:
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- Excellent implementation of chess board using Altair declarative approach
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- Perfect color scheme with classic wheat/saddle brown contrast
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- Correct chess convention with h1 as light square
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- Clean use of ordinal encoding for both axes
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- Proper 1:1 aspect ratio for square board
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- Subtle stroke on squares enhances visual clarity
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- Good use of configure_view for outer border styling
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weaknesses:
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- Axis labels lack descriptive context, though contextually acceptable for chess
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notation
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- Data generation loop could include a brief comment explaining the coloring logic
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image_description: 'The plot displays a classic 8x8 chess board with alternating
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light (wheat/cream #F5DEB3) and dark (saddle brown #8B4513) squares. The board
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is properly oriented with row labels 1-8 on the left side (1 at bottom, 8 at top)
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and column labels a-h at the bottom. The title "chessboard-basic · altair · pyplots.ai"
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appears at the top in bold black text. The squares have subtle dark brown borders
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(#5D4037) that enhance clarity. The light square appears correctly at h1 (bottom-right
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corner) following standard chess convention. The overall layout is square (1:1
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aspect ratio) with the board filling most of the canvas. The chart has a thin
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dark brown outer border framing the entire visualization.'
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criteria_checklist:
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visual_quality:
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score: 38
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max: 40
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items:
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- id: VQ-01
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name: Text Legibility
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score: 10
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max: 10
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passed: true
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comment: Title at 32pt, axis labels at 24pt, all perfectly readable
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- id: VQ-02
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name: No Overlap
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score: 8
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max: 8
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passed: true
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comment: No overlapping elements, clean layout
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- id: VQ-03
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name: Element Visibility
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score: 8
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max: 8
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passed: true
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comment: All 64 squares clearly visible with good contrast
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- id: VQ-04
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name: Color Accessibility
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score: 5
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max: 5
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passed: true
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comment: Wheat/brown color scheme is colorblind-safe
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- id: VQ-05
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name: Layout Balance
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score: 5
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max: 5
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passed: true
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comment: Perfect 1:1 aspect ratio, board fills canvas well
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- id: VQ-06
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name: Axis Labels
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score: 1
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max: 2
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passed: true
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comment: Labels present but no units needed for chess notation
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- id: VQ-07
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name: Grid & Legend
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score: 1
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max: 2
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passed: true
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comment: No legend needed; borders serve as grid, subtle and effective
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spec_compliance:
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score: 25
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max: 25
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items:
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- id: SC-01
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name: Plot Type
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score: 8
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max: 8
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passed: true
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comment: Correct 8x8 grid visualization using rect marks
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- id: SC-02
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name: Data Mapping
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score: 5
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max: 5
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passed: true
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comment: Columns a-h on X, rows 1-8 on Y, correctly assigned
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- id: SC-03
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name: Required Features
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score: 5
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max: 5
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passed: true
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comment: 'All features present: alternating colors, proper notation, h1 light
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square'
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- id: SC-04
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name: Data Range
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score: 3
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max: 3
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passed: true
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comment: Full 8x8 board displayed
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- id: SC-05
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name: Legend Accuracy
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score: 2
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max: 2
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passed: true
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comment: No legend needed, colors self-explanatory
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- id: SC-06
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name: Title Format
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score: 2
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max: 2
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passed: true
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comment: Correctly uses chessboard-basic · altair · pyplots.ai
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data_quality:
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score: 19
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max: 20
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items:
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- id: DQ-01
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name: Feature Coverage
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score: 8
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max: 8
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passed: true
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comment: Shows complete chess board with all 64 squares
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- id: DQ-02
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name: Realistic Context
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score: 6
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max: 7
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passed: true
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comment: Standard chess board, universally recognized
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- id: DQ-03
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name: Appropriate Scale
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score: 5
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max: 5
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passed: true
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comment: Proper 8x8 grid with standard notation
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code_quality:
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score: 8
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max: 10
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items:
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- id: CQ-01
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name: KISS Structure
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score: 3
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max: 3
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passed: true
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comment: Simple imports, data, plot, save structure
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- id: CQ-02
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name: Reproducibility
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score: 1
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max: 3
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passed: false
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comment: Deterministic data but no explicit seed comment
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- id: CQ-03
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name: Clean Imports
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score: 2
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max: 2
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passed: true
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comment: Only altair and pandas imported, both used
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- id: CQ-04
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name: No Deprecated API
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score: 1
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max: 1
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passed: true
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comment: Uses current Altair API
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- id: CQ-05
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name: Output Correct
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score: 1
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max: 1
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passed: true
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comment: Saves as plot.png and plot.html
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library_features:
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score: 5
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max: 5
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items:
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- id: LF-01
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name: Distinctive Features
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score: 5
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max: 5
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passed: true
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comment: 'Excellent use of Altair declarative grammar: ordinal encoding, mark_rect,
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color scale mapping, configure_view'
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verdict: APPROVED
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impl_tags:
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dependencies: []
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techniques:
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- html-export
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patterns:
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- data-generation
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- iteration-over-groups
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dataprep: []
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styling:
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- edge-highlighting

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