From 286c531dd7e30ac55c8a535c6e7666e2391af931 Mon Sep 17 00:00:00 2001 From: Markus Neusinger <2921697+MarkusNeusinger@users.noreply.github.com> Date: Mon, 23 Feb 2026 14:50:31 +0100 Subject: [PATCH 1/6] =?UTF-8?q?update(band-basic):=20letsplot=20=E2=80=94?= =?UTF-8?q?=20comprehensive=20quality=20review?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Comprehensive quality review of letsplot band-basic implementation. --- plots/band-basic/implementations/letsplot.py | 58 +++++++++++++------- plots/band-basic/metadata/letsplot.yaml | 8 +-- plots/band-basic/specification.md | 2 +- plots/band-basic/specification.yaml | 6 +- 4 files changed, 49 insertions(+), 25 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index 2f49d9c2be..f73de4afbd 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,7 +1,7 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot -Library: letsplot 4.8.2 | Python 3.13.11 -Quality: 93/100 | Created: 2025-12-23 +Library: letsplot 4.8.2 | Python 3.14 +Quality: /100 | Updated: 2026-02-23 """ import numpy as np @@ -9,6 +9,7 @@ from lets_plot import ( LetsPlot, aes, + element_blank, element_line, element_text, geom_line, @@ -17,6 +18,7 @@ ggsave, ggsize, labs, + layer_tooltips, theme, theme_minimal, ) @@ -24,34 +26,52 @@ LetsPlot.setup_html() -# Data - time series with 95% confidence interval +# Data - sensor temperature readings with 95% confidence interval np.random.seed(42) -x = np.linspace(0, 10, 100) -y_center = 2 * np.sin(x) + 0.5 * x # Central trend (sinusoidal + linear growth) -noise_scale = 0.3 + 0.15 * x # Increasing uncertainty over time -y_lower = y_center - 1.96 * noise_scale # 95% CI lower bound -y_upper = y_center + 1.96 * noise_scale # 95% CI upper bound +time_seconds = np.linspace(0, 10, 100) +temp_mean = 2 * np.sin(time_seconds) + 0.5 * time_seconds # Central trend +uncertainty = 0.3 + 0.15 * time_seconds # Growing uncertainty over time +temp_lower = temp_mean - 1.96 * uncertainty # 95% CI lower bound +temp_upper = temp_mean + 1.96 * uncertainty # 95% CI upper bound -df = pd.DataFrame({"x": x, "y_center": y_center, "y_lower": y_lower, "y_upper": y_upper}) +df = pd.DataFrame({"time": time_seconds, "mean": temp_mean, "lower": temp_lower, "upper": temp_upper}) # Plot plot = ( - ggplot(df, aes(x="x")) - + geom_ribbon(aes(ymin="y_lower", ymax="y_upper"), fill="#306998", alpha=0.3) - + geom_line(aes(y="y_center"), color="#306998", size=1.5) - + labs(x="Time (s)", y="Value (units)", title="band-basic · letsplot · pyplots.ai") + ggplot(df, aes(x="time")) + + geom_ribbon( + aes(ymin="lower", ymax="upper"), + fill="#306998", + alpha=0.25, + tooltips=layer_tooltips() + .format("lower", "{.2f}") + .format("upper", "{.2f}") + .line("95% CI") + .line("Upper|@upper") + .line("Lower|@lower"), + ) + + geom_line( + aes(y="mean"), + color="#306998", + size=1.5, + tooltips=layer_tooltips() + .format("mean", "{.2f}") + .format("time", "{.1f}") + .line("Time|@time s") + .line("Mean|@mean"), + ) + + labs(x="Time (s)", y="Value (units)", title="band-basic \u00b7 letsplot \u00b7 pyplots.ai") + theme_minimal() + theme( axis_title=element_text(size=20), axis_text=element_text(size=16), plot_title=element_text(size=24), - panel_grid=element_line(color="#cccccc", size=0.5), + panel_grid_major=element_line(size=0.3, color="#E0E0E0"), + panel_grid_minor=element_blank(), ) + ggsize(1600, 900) ) -# Save PNG (scale=3 gives 4800x2700) +# Save ggsave(plot, "plot.png", path=".", scale=3) - -# Save HTML for interactive version -ggsave(plot, "plot.html", path=".") +plot.to_html("plot.html") diff --git a/plots/band-basic/metadata/letsplot.yaml b/plots/band-basic/metadata/letsplot.yaml index 24d466f384..fc0e9118a3 100644 --- a/plots/band-basic/metadata/letsplot.yaml +++ b/plots/band-basic/metadata/letsplot.yaml @@ -1,16 +1,16 @@ library: letsplot specification_id: band-basic created: '2025-12-23T09:08:23Z' -updated: '2025-12-23T09:10:30Z' -generated_by: claude-opus-4-5-20251101 +updated: '2026-02-23T13:41:00Z' +generated_by: claude-opus-4-6 workflow_run: 20456388290 issue: 0 -python_version: 3.13.11 +python_version: '3.14' library_version: 4.8.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.html -quality_score: 93 +quality_score: null impl_tags: dependencies: [] techniques: diff --git a/plots/band-basic/specification.md b/plots/band-basic/specification.md index 4614c2a26c..a18f9caee9 100644 --- a/plots/band-basic/specification.md +++ b/plots/band-basic/specification.md @@ -16,7 +16,7 @@ A band plot displays a filled region between two boundary lines, commonly used t - `x` (numeric) - Independent variable, often representing time or sequence - `y_lower` (numeric) - Lower boundary values defining the bottom of the band - `y_upper` (numeric) - Upper boundary values defining the top of the band -- `y_center` (numeric, optional) - Central trend line values (mean/median) +- `y_center` (numeric) - Central trend line values (mean/median), shown as a contrasting line - Size: 20-200 data points - Example: Time series with 95% confidence interval bounds diff --git a/plots/band-basic/specification.yaml b/plots/band-basic/specification.yaml index c239433ec4..76a86a91e9 100644 --- a/plots/band-basic/specification.yaml +++ b/plots/band-basic/specification.yaml @@ -6,7 +6,7 @@ title: Basic Band Plot # Specification tracking created: 2025-12-15T20:42:54Z -updated: 2025-12-15T20:42:54Z +updated: 2026-02-23T12:00:00Z issue: 979 suggested: MarkusNeusinger @@ -18,10 +18,14 @@ tags: data_type: - numeric - continuous + - timeseries domain: - statistics - science + - general + - engineering features: - basic - confidence-interval - uncertainty + - 2d From 15893a0434ed2999dfb3f82c15f2710196bcc216 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 13:54:41 +0000 Subject: [PATCH 2/6] chore(letsplot): update quality score 82 and review feedback for band-basic --- plots/band-basic/implementations/letsplot.py | 4 +- plots/band-basic/metadata/letsplot.yaml | 248 ++++++++++--------- 2 files changed, 134 insertions(+), 118 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index f73de4afbd..8005f0d26f 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: letsplot 4.8.2 | Python 3.14 -Quality: /100 | Updated: 2026-02-23 +Quality: 82/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/letsplot.yaml b/plots/band-basic/metadata/letsplot.yaml index fc0e9118a3..7adf8f87de 100644 --- a/plots/band-basic/metadata/letsplot.yaml +++ b/plots/band-basic/metadata/letsplot.yaml @@ -1,7 +1,7 @@ library: letsplot specification_id: band-basic created: '2025-12-23T09:08:23Z' -updated: '2026-02-23T13:41:00Z' +updated: '2026-02-23T13:54:41Z' generated_by: claude-opus-4-6 workflow_run: 20456388290 issue: 0 @@ -10,155 +10,165 @@ library_version: 4.8.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.html -quality_score: null +quality_score: 82 impl_tags: dependencies: [] techniques: + - layer-composition + - hover-tooltips - html-export patterns: - data-generation dataprep: [] styling: - alpha-blending + - grid-styling review: strengths: - - Excellent implementation of band plot with proper geom_ribbon for confidence interval - - Data shows increasing uncertainty over time (heteroscedasticity) which is realistic - and educational - - Perfect title format and axis labels with units - - Clean KISS code structure following library guidelines - - Appropriate alpha (0.3) for band transparency as per spec recommendation - - Correct use of 1600x900 base size with scale=3 for 4800x2700 output + - Perfect spec compliance with all required features and correct title format + - Clean well-structured code following KISS principles with all imports used + - Good use of letsplot-specific layer_tooltips() for interactive hover information + - Growing uncertainty band effectively demonstrates the band plot concept + - Explicit font sizing ensures readability at target resolution weaknesses: - - Grid lines are solid gray rather than using subtle alpha for better visual subtlety - - Does not leverage lets-plot distinctive interactive features or tooltips - image_description: The plot displays a band plot with a light blue semi-transparent - filled region (confidence band) spanning from approximately -2 to 9 on the y-axis, - covering the full x-axis range of 0 to 10 seconds. A darker blue central trend - line follows a sinusoidal pattern with upward linear trend (sin wave superimposed - on positive slope). The band width increases from left to right, illustrating - growing uncertainty over time. The title "band-basic · letsplot · pyplots.ai" - appears at the top left. Axis labels show "Time (s)" on x-axis and "Value (units)" - on y-axis. The background uses a minimal theme with subtle gray grid lines. All - text is clearly readable. + - Generic Value (units) y-axis label instead of meaningful units matching temperature + sensor context + - Single monochromatic color scheme lacks visual distinction between line and band + - Band boundary dark outlines add visual heaviness to the design + - No visual emphasis or annotation to highlight growing uncertainty insight + - Right edge of x-axis slightly clips the tick label + image_description: The plot displays a band plot with a sinusoidal central trend + line in solid dark blue (#306998) overlaid on a semi-transparent light blue confidence + interval band. The band widens progressively from left to right, representing + growing uncertainty over time. The x-axis is labeled "Time (s)" ranging from approximately + -0.5 to 10.5, and the y-axis is labeled "Value (units)" ranging from -2 to 9. + The title "band-basic · letsplot · pyplots.ai" appears in the top-left. The band + boundaries are rendered as thin dark lines outlining the ribbon. The background + uses a minimal theme with subtle light gray major gridlines and no minor gridlines. + The overall layout is clean with good canvas utilization, though the rightmost + x-axis tick label appears slightly clipped. criteria_checklist: visual_quality: - score: 38 - max: 40 + score: 27 + max: 30 items: - id: VQ-01 name: Text Legibility - score: 10 - max: 10 + score: 8 + max: 8 passed: true - comment: Title, axis labels, and tick marks are all clearly readable at full - resolution with appropriate font sizes (24pt title, 20pt labels, 16pt ticks) + comment: 'All font sizes explicitly set: title=24, axis_title=20, axis_text=16. + All text clearly readable.' - id: VQ-02 name: No Overlap - score: 8 - max: 8 + score: 6 + max: 6 passed: true - comment: No overlapping text elements anywhere in the plot + comment: No overlapping text elements anywhere. - id: VQ-03 name: Element Visibility - score: 8 - max: 8 + score: 5 + max: 6 passed: true - comment: Central line has good thickness (size=1.5), band is appropriately - filled with alpha=0.3 + comment: Band and line visible but central line could be more contrasting + against band fill. - id: VQ-04 name: Color Accessibility - score: 5 - max: 5 + score: 4 + max: 4 passed: true - comment: Single color scheme (#306998 blue) with good contrast, colorblind-safe + comment: Single blue color scheme, no colorblind issues. Good contrast. - id: VQ-05 - name: Layout Balance - score: 5 - max: 5 + name: Layout & Canvas + score: 3 + max: 4 passed: true - comment: Good proportions, data fills the plot area well with appropriate - margins + comment: Good canvas utilization but rightmost x-axis tick label slightly + clipped. - id: VQ-06 - name: Axis Labels - score: 2 - max: 2 - passed: true - comment: 'Both axes have descriptive labels with units: "Time (s)" and "Value - (units)"' - - id: VQ-07 - name: Grid & Legend - score: 0 + name: Axis Labels & Title + score: 1 max: 2 passed: false - comment: Grid uses solid gray lines rather than subtle alpha; no legend needed - but grid could be more subtle + comment: Time (s) is good but Value (units) is generic placeholder, not real + units. + design_excellence: + score: 10 + max: 20 + items: + - id: DE-01 + name: Aesthetic Sophistication + score: 4 + max: 8 + passed: false + comment: Well-configured library default. Single blue for both line and band. + - id: DE-02 + name: Visual Refinement + score: 3 + max: 6 + passed: false + comment: Uses theme_minimal(), removes minor grid, customizes major grid. + Band boundary outlines add heaviness. + - id: DE-03 + name: Data Storytelling + score: 3 + max: 6 + passed: false + comment: Growing uncertainty is subtle storytelling but no visual emphasis + to guide viewer. spec_compliance: - score: 25 - max: 25 + score: 15 + max: 15 items: - id: SC-01 name: Plot Type - score: 8 - max: 8 - passed: true - comment: Correct band plot using geom_ribbon for the filled region - - id: SC-02 - name: Data Mapping score: 5 max: 5 passed: true - comment: X mapped correctly, y_lower/y_upper define band, y_center shown as - line - - id: SC-03 + comment: Correct band/ribbon plot with filled region and central trend line. + - id: SC-02 name: Required Features - score: 5 - max: 5 + score: 4 + max: 4 passed: true - comment: 'All spec features present: semi-transparent fill, central line in - contrasting style, smooth interpolation' - - id: SC-04 - name: Data Range + comment: Semi-transparent fill, central line, smooth interpolation, 95% CI. + - id: SC-03 + name: Data Mapping score: 3 max: 3 passed: true - comment: Axes show all data without clipping - - id: SC-05 - name: Legend Accuracy - score: 2 - max: 2 - passed: true - comment: No legend needed for single-series band plot - - id: SC-06 - name: Title Format - score: 2 - max: 2 + comment: X=time, Y boundaries define band, Y center is trend line. + - id: SC-04 + name: Title & Legend + score: 3 + max: 3 passed: true - comment: Uses exact format "band-basic · letsplot · pyplots.ai" + comment: Correct title format. No legend needed for single series. data_quality: - score: 20 - max: 20 + score: 13 + max: 15 items: - id: DQ-01 name: Feature Coverage - score: 8 - max: 8 + score: 5 + max: 6 passed: true - comment: Shows widening confidence interval (heteroscedasticity), sinusoidal - pattern with trend, 100 data points + comment: Shows filled band, central trend, growing uncertainty, sinusoidal + pattern with upward drift. - id: DQ-02 name: Realistic Context - score: 7 - max: 7 + score: 4 + max: 5 passed: true - comment: Time series with 95% CI is a realistic scenario (sensor data, forecasts, - etc.) + comment: Sensor temperature readings with 95% CI. Generic y-axis label undermines + realism. - id: DQ-03 name: Appropriate Scale - score: 5 - max: 5 + score: 4 + max: 4 passed: true - comment: Values in sensible range (-2 to 9), time in seconds (0-10s) + comment: Time 0-10s reasonable. Value range plausible. Growing uncertainty + physically realistic. code_quality: score: 10 max: 10 @@ -168,41 +178,47 @@ review: score: 3 max: 3 passed: true - comment: Clean imports → data → plot → save structure, no functions/classes + comment: Clean Imports-Data-Plot-Save structure. No functions or classes. - id: CQ-02 name: Reproducibility - score: 3 - max: 3 + score: 2 + max: 2 passed: true - comment: np.random.seed(42) set + comment: np.random.seed(42) set. Data generation is deterministic. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: All imports are used + comment: All imports used. No unused imports. - id: CQ-04 - name: No Deprecated API - score: 1 - max: 1 + name: Code Elegance + score: 2 + max: 2 passed: true - comment: Uses current lets_plot API + comment: Clean, well-structured, Pythonic code. - id: CQ-05 - name: Output Correct + name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png and plot.html - library_features: - score: 0 - max: 5 + comment: Saves as plot.png via ggsave() with scale=3. Current API. + library_mastery: + score: 7 + max: 10 items: - - id: LF-01 - name: Uses distinctive library features - score: 0 + - id: LM-01 + name: Idiomatic Usage + score: 4 max: 5 - passed: false - comment: Uses basic geom_ribbon and geom_line, which are standard ggplot features. - Could leverage lets_plot's tooltips, interactivity, or geom_smooth for more - distinctive usage - verdict: APPROVED + passed: true + comment: Good ggplot grammar with geom_ribbon + geom_line. Proper aes mappings + and theme usage. + - id: LM-02 + name: Distinctive Features + score: 3 + max: 5 + passed: true + comment: Uses layer_tooltips() with custom format/line methods. Also exports + HTML. + verdict: REJECTED From edb88206d63a498f39e8df6c5b01bbb6963f81ae Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:00:22 +0000 Subject: [PATCH 3/6] fix(letsplot): address review feedback for band-basic Attempt 1/3 - fixes based on AI review --- plots/band-basic/implementations/letsplot.py | 27 +++++++++++++------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index 8005f0d26f..45b18222d8 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,4 +1,4 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot Library: letsplot 4.8.2 | Python 3.14 Quality: 82/100 | Updated: 2026-02-23 @@ -14,11 +14,13 @@ element_text, geom_line, geom_ribbon, + geom_text, ggplot, ggsave, ggsize, labs, layer_tooltips, + scale_x_continuous, theme, theme_minimal, ) @@ -36,13 +38,18 @@ df = pd.DataFrame({"time": time_seconds, "mean": temp_mean, "lower": temp_lower, "upper": temp_upper}) +# Annotation highlighting the growing uncertainty insight +annot_idx = np.argmin(np.abs(time_seconds - 8.0)) +annot_df = pd.DataFrame({"x": [8.0], "y": [temp_upper[annot_idx] + 0.6], "label": ["Growing uncertainty \u2192"]}) + # Plot plot = ( ggplot(df, aes(x="time")) + geom_ribbon( aes(ymin="lower", ymax="upper"), fill="#306998", - alpha=0.25, + size=0, + alpha=0.2, tooltips=layer_tooltips() .format("lower", "{.2f}") .format("upper", "{.2f}") @@ -52,21 +59,23 @@ ) + geom_line( aes(y="mean"), - color="#306998", - size=1.5, + color="#C75B2E", + size=2.0, tooltips=layer_tooltips() .format("mean", "{.2f}") .format("time", "{.1f}") .line("Time|@time s") .line("Mean|@mean"), ) - + labs(x="Time (s)", y="Value (units)", title="band-basic \u00b7 letsplot \u00b7 pyplots.ai") + + geom_text(aes(x="x", y="y", label="label"), data=annot_df, size=12, color="#555555") + + labs(x="Time (s)", y="Temperature (\u00b0C)", title="band-basic \u00b7 letsplot \u00b7 pyplots.ai") + + scale_x_continuous(limits=[-0.3, 10.8]) + theme_minimal() + theme( - axis_title=element_text(size=20), - axis_text=element_text(size=16), - plot_title=element_text(size=24), - panel_grid_major=element_line(size=0.3, color="#E0E0E0"), + axis_title=element_text(size=20, color="#333333"), + axis_text=element_text(size=16, color="#555555"), + plot_title=element_text(size=24, color="#222222"), + panel_grid_major=element_line(size=0.3, color="#E8E8E8"), panel_grid_minor=element_blank(), ) + ggsize(1600, 900) From 22af9d4d2a68dd59da6a9124d4a5b05ffaaf9198 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:06:34 +0000 Subject: [PATCH 4/6] chore(letsplot): update quality score 88 and review feedback for band-basic --- plots/band-basic/implementations/letsplot.py | 4 +- plots/band-basic/metadata/letsplot.yaml | 141 ++++++++++--------- 2 files changed, 75 insertions(+), 70 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index 45b18222d8..4648e62784 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,7 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: letsplot 4.8.2 | Python 3.14 -Quality: 82/100 | Updated: 2026-02-23 +Quality: 88/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/letsplot.yaml b/plots/band-basic/metadata/letsplot.yaml index 7adf8f87de..982c423eab 100644 --- a/plots/band-basic/metadata/letsplot.yaml +++ b/plots/band-basic/metadata/letsplot.yaml @@ -1,7 +1,7 @@ library: letsplot specification_id: band-basic created: '2025-12-23T09:08:23Z' -updated: '2026-02-23T13:54:41Z' +updated: '2026-02-23T14:06:34Z' generated_by: claude-opus-4-6 workflow_run: 20456388290 issue: 0 @@ -10,11 +10,12 @@ library_version: 4.8.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.html -quality_score: 82 +quality_score: 88 impl_tags: dependencies: [] techniques: - layer-composition + - annotations - hover-tooltips - html-export patterns: @@ -25,31 +26,31 @@ impl_tags: - grid-styling review: strengths: - - Perfect spec compliance with all required features and correct title format - - Clean well-structured code following KISS principles with all imports used - - Good use of letsplot-specific layer_tooltips() for interactive hover information - - Growing uncertainty band effectively demonstrates the band plot concept - - Explicit font sizing ensures readability at target resolution + - Excellent spec compliance with all required features implemented correctly + - Strong data storytelling with growing uncertainty concept and annotation + - Good color accessibility with blue-orange complementary palette + - Clean idiomatic letsplot code with proper ggplot grammar + - Interactive tooltips with formatted values demonstrate letsplot-specific strengths + - Perfect code quality with KISS structure and reproducibility weaknesses: - - Generic Value (units) y-axis label instead of meaningful units matching temperature - sensor context - - Single monochromatic color scheme lacks visual distinction between line and band - - Band boundary dark outlines add visual heaviness to the design - - No visual emphasis or annotation to highlight growing uncertainty insight - - Right edge of x-axis slightly clips the tick label - image_description: The plot displays a band plot with a sinusoidal central trend - line in solid dark blue (#306998) overlaid on a semi-transparent light blue confidence - interval band. The band widens progressively from left to right, representing - growing uncertainty over time. The x-axis is labeled "Time (s)" ranging from approximately - -0.5 to 10.5, and the y-axis is labeled "Value (units)" ranging from -2 to 9. - The title "band-basic · letsplot · pyplots.ai" appears in the top-left. The band - boundaries are rendered as thin dark lines outlining the ribbon. The background - uses a minimal theme with subtle light gray major gridlines and no minor gridlines. - The overall layout is clean with good canvas utilization, though the rightmost - x-axis tick label appears slightly clipped. + - Design Excellence needs final push to reach publication quality + - Y-axis range slightly generous creating unused space at top + - Annotation floats without a visual connector to the relevant data region + - Could leverage additional letsplot-distinctive features for higher Library Mastery + image_description: The plot displays a band chart showing sensor temperature readings + over 10 seconds with a 95% confidence interval. A light steel-blue semi-transparent + band (alpha ~0.2) represents the confidence interval boundaries, widening progressively + from left to right to illustrate growing uncertainty. A bold rust-orange center + line (#C75B2E) traces a sinusoidal-plus-linear trend through the band, ranging + from ~0°C to ~6°C. The x-axis is labeled "Time (s)" ranging from -0.5 to 11, and + the y-axis is labeled "Temperature (°C)" ranging from -2 to 10. The title "band-basic + · letsplot · pyplots.ai" appears at the top left. A gray text annotation "Growing + uncertainty →" appears in the upper-right area. The background uses a minimal + theme with subtle light-gray major gridlines and no minor gridlines. Overall the + layout is clean and well-proportioned on a 16:9 canvas. criteria_checklist: visual_quality: - score: 27 + score: 29 max: 30 items: - id: VQ-01 @@ -64,58 +65,60 @@ review: score: 6 max: 6 passed: true - comment: No overlapping text elements anywhere. + comment: No overlapping text elements. Annotation, axis labels, and tick labels + well-separated. - id: VQ-03 name: Element Visibility - score: 5 + score: 6 max: 6 passed: true - comment: Band and line visible but central line could be more contrasting - against band fill. + comment: Band clearly visible with alpha=0.2; center line prominent at size=2.0 + with contrasting color. - id: VQ-04 name: Color Accessibility score: 4 max: 4 passed: true - comment: Single blue color scheme, no colorblind issues. Good contrast. + comment: Blue and orange distinguishable across all common color blindness + types. - id: VQ-05 name: Layout & Canvas score: 3 max: 4 passed: true - comment: Good canvas utilization but rightmost x-axis tick label slightly - clipped. + comment: 'Good proportions overall. Minor: y-axis extends to 10 while max + data ~9, slight unused space at top.' - id: VQ-06 name: Axis Labels & Title - score: 1 + score: 2 max: 2 - passed: false - comment: Time (s) is good but Value (units) is generic placeholder, not real - units. + passed: true + comment: Time (s) and Temperature (°C) — descriptive with units. design_excellence: - score: 10 + score: 13 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 4 + score: 5 max: 8 - passed: false - comment: Well-configured library default. Single blue for both line and band. + passed: true + comment: Thoughtful complementary blue-orange palette, custom gray tones for + text hierarchy. Above defaults but not publication-level. - id: DE-02 name: Visual Refinement - score: 3 + score: 4 max: 6 - passed: false - comment: Uses theme_minimal(), removes minor grid, customizes major grid. - Band boundary outlines add heaviness. + passed: true + comment: theme_minimal removes spines, minor grid removed, major grid subtle, + custom text colors. Good refinement. - id: DE-03 name: Data Storytelling - score: 3 + score: 4 max: 6 - passed: false - comment: Growing uncertainty is subtle storytelling but no visual emphasis - to guide viewer. + passed: true + comment: Growing uncertainty annotation highlights key insight. Color contrast + creates clear visual hierarchy. spec_compliance: score: 15 max: 15 @@ -125,27 +128,29 @@ review: score: 5 max: 5 passed: true - comment: Correct band/ribbon plot with filled region and central trend line. + comment: Correct band plot with filled region and central trend line. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Semi-transparent fill, central line, smooth interpolation, 95% CI. + comment: Semi-transparent fill, central line in contrasting color, smooth + interpolation, 95% CI all present. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=time, Y boundaries define band, Y center is trend line. + comment: X=time, ymin/ymax define band, center line shows mean. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Correct title format. No legend needed for single series. + comment: Title format matches required pattern. No legend needed for simple + two-element band plot. data_quality: - score: 13 + score: 14 max: 15 items: - id: DQ-01 @@ -153,22 +158,21 @@ review: score: 5 max: 6 passed: true - comment: Shows filled band, central trend, growing uncertainty, sinusoidal - pattern with upward drift. + comment: Shows growing band width, sinusoidal+linear trend. Could show narrowing + section for fuller coverage. - id: DQ-02 name: Realistic Context - score: 4 + score: 5 max: 5 passed: true - comment: Sensor temperature readings with 95% CI. Generic y-axis label undermines - realism. + comment: Sensor temperature readings with 95% CI is realistic and neutral. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Time 0-10s reasonable. Value range plausible. Growing uncertainty - physically realistic. + comment: Temperature 0-6°C with CI extending to -2 to 9°C plausible for sensor + data. code_quality: score: 10 max: 10 @@ -178,31 +182,32 @@ review: score: 3 max: 3 passed: true - comment: Clean Imports-Data-Plot-Save structure. No functions or classes. + comment: Clean Imports → Data → Plot → Save structure with no functions or + classes. - id: CQ-02 name: Reproducibility score: 2 max: 2 passed: true - comment: np.random.seed(42) set. Data generation is deterministic. + comment: np.random.seed(42) set. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: All imports used. No unused imports. + comment: All imports are used. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean, well-structured, Pythonic code. + comment: Clean, well-organized, appropriate complexity. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png via ggsave() with scale=3. Current API. + comment: Saves as plot.png via ggsave with scale=3. library_mastery: score: 7 max: 10 @@ -212,13 +217,13 @@ review: score: 4 max: 5 passed: true - comment: Good ggplot grammar with geom_ribbon + geom_line. Proper aes mappings - and theme usage. + comment: Proper ggplot grammar with geom_ribbon + geom_line layering, aes() + mappings, theme overrides. - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: Uses layer_tooltips() with custom format/line methods. Also exports - HTML. + comment: layer_tooltips() with custom formatting is distinctive to letsplot. + HTML export also library-specific. verdict: REJECTED From 1cba8a75872427134b3b9ce343ed6ed68632e4e9 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:14:07 +0000 Subject: [PATCH 5/6] fix(letsplot): address review feedback for band-basic Attempt 2/3 - fixes based on AI review --- plots/band-basic/implementations/letsplot.py | 30 ++++++++++++++++---- 1 file changed, 24 insertions(+), 6 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index 4648e62784..d4b58c2855 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,7 +1,6 @@ -""" pyplots.ai +"""pyplots.ai band-basic: Basic Band Plot Library: letsplot 4.8.2 | Python 3.14 -Quality: 88/100 | Updated: 2026-02-23 """ import numpy as np @@ -9,11 +8,15 @@ from lets_plot import ( LetsPlot, aes, + arrow, element_blank, element_line, + element_rect, element_text, + geom_hline, geom_line, geom_ribbon, + geom_segment, geom_text, ggplot, ggsave, @@ -21,6 +24,7 @@ labs, layer_tooltips, scale_x_continuous, + scale_y_continuous, theme, theme_minimal, ) @@ -38,13 +42,16 @@ df = pd.DataFrame({"time": time_seconds, "mean": temp_mean, "lower": temp_lower, "upper": temp_upper}) -# Annotation highlighting the growing uncertainty insight -annot_idx = np.argmin(np.abs(time_seconds - 8.0)) -annot_df = pd.DataFrame({"x": [8.0], "y": [temp_upper[annot_idx] + 0.6], "label": ["Growing uncertainty \u2192"]}) +# Annotation with arrow connector pointing to the widening band region +annot_df = pd.DataFrame({"x": [7.0], "y": [9.2], "label": ["Growing uncertainty"]}) +target_idx = np.argmin(np.abs(time_seconds - 9.5)) +arrow_df = pd.DataFrame({"x": [8.7], "y": [9.0], "xend": [9.5], "yend": [temp_upper[target_idx] + 0.15]}) # Plot plot = ( ggplot(df, aes(x="time")) + # Baseline reference at 0°C + + geom_hline(yintercept=0, color="#BBBBBB", size=0.7, linetype="dashed", tooltips="none") + geom_ribbon( aes(ymin="lower", ymax="upper"), fill="#306998", @@ -67,9 +74,19 @@ .line("Time|@time s") .line("Mean|@mean"), ) - + geom_text(aes(x="x", y="y", label="label"), data=annot_df, size=12, color="#555555") + # Arrow connector from annotation to widening band + + geom_segment( + aes(x="x", y="y", xend="xend", yend="yend"), + data=arrow_df, + color="#555555", + size=0.7, + arrow=arrow(length=8, type="open"), + tooltips="none", + ) + + geom_text(aes(x="x", y="y", label="label"), data=annot_df, size=12, color="#444444") + labs(x="Time (s)", y="Temperature (\u00b0C)", title="band-basic \u00b7 letsplot \u00b7 pyplots.ai") + scale_x_continuous(limits=[-0.3, 10.8]) + + scale_y_continuous(limits=[-2.2, 9.5], expand=[0, 0.02]) + theme_minimal() + theme( axis_title=element_text(size=20, color="#333333"), @@ -77,6 +94,7 @@ plot_title=element_text(size=24, color="#222222"), panel_grid_major=element_line(size=0.3, color="#E8E8E8"), panel_grid_minor=element_blank(), + plot_background=element_rect(color="white", fill="white", size=0), ) + ggsize(1600, 900) ) From ce62e889320a21408a586a6488c23e1ddbaa24d3 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Mon, 23 Feb 2026 14:20:45 +0000 Subject: [PATCH 6/6] chore(letsplot): update quality score 91 and review feedback for band-basic --- plots/band-basic/implementations/letsplot.py | 3 +- plots/band-basic/metadata/letsplot.yaml | 142 ++++++++++--------- 2 files changed, 76 insertions(+), 69 deletions(-) diff --git a/plots/band-basic/implementations/letsplot.py b/plots/band-basic/implementations/letsplot.py index d4b58c2855..a84536adc6 100644 --- a/plots/band-basic/implementations/letsplot.py +++ b/plots/band-basic/implementations/letsplot.py @@ -1,6 +1,7 @@ -"""pyplots.ai +""" pyplots.ai band-basic: Basic Band Plot Library: letsplot 4.8.2 | Python 3.14 +Quality: 91/100 | Updated: 2026-02-23 """ import numpy as np diff --git a/plots/band-basic/metadata/letsplot.yaml b/plots/band-basic/metadata/letsplot.yaml index 982c423eab..78a52f0d37 100644 --- a/plots/band-basic/metadata/letsplot.yaml +++ b/plots/band-basic/metadata/letsplot.yaml @@ -1,7 +1,7 @@ library: letsplot specification_id: band-basic created: '2025-12-23T09:08:23Z' -updated: '2026-02-23T14:06:34Z' +updated: '2026-02-23T14:20:45Z' generated_by: claude-opus-4-6 workflow_run: 20456388290 issue: 0 @@ -10,12 +10,12 @@ library_version: 4.8.2 preview_url: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.png preview_thumb: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot_thumb.png preview_html: https://storage.googleapis.com/pyplots-images/plots/band-basic/letsplot/plot.html -quality_score: 88 +quality_score: 91 impl_tags: dependencies: [] techniques: - - layer-composition - annotations + - layer-composition - hover-tooltips - html-export patterns: @@ -26,28 +26,31 @@ impl_tags: - grid-styling review: strengths: - - Excellent spec compliance with all required features implemented correctly - - Strong data storytelling with growing uncertainty concept and annotation - - Good color accessibility with blue-orange complementary palette - - Clean idiomatic letsplot code with proper ggplot grammar - - Interactive tooltips with formatted values demonstrate letsplot-specific strengths - - Perfect code quality with KISS structure and reproducibility + - Excellent data storytelling with Growing uncertainty annotation and arrow highlighting + the key insight + - Strong color contrast between blue band and orange line with colorblind-safe palette + - Clean professional visual design with refined text hierarchy and subtle grid + - Perfect spec compliance with all required features present + - Idiomatic letsplot usage with proper ggplot grammar patterns + - Realistic sensor temperature data with physically plausible growing uncertainty weaknesses: - - Design Excellence needs final push to reach publication quality - - Y-axis range slightly generous creating unused space at top - - Annotation floats without a visual connector to the relevant data region - - Could leverage additional letsplot-distinctive features for higher Library Mastery - image_description: The plot displays a band chart showing sensor temperature readings - over 10 seconds with a 95% confidence interval. A light steel-blue semi-transparent - band (alpha ~0.2) represents the confidence interval boundaries, widening progressively - from left to right to illustrate growing uncertainty. A bold rust-orange center - line (#C75B2E) traces a sinusoidal-plus-linear trend through the band, ranging - from ~0°C to ~6°C. The x-axis is labeled "Time (s)" ranging from -0.5 to 11, and - the y-axis is labeled "Temperature (°C)" ranging from -2 to 10. The title "band-basic - · letsplot · pyplots.ai" appears at the top left. A gray text annotation "Growing - uncertainty →" appears in the upper-right area. The background uses a minimal - theme with subtle light-gray major gridlines and no minor gridlines. Overall the - layout is clean and well-proportioned on a 16:9 canvas. + - Annotation text size (12) is slightly small relative to other text elements (axis + text=16) + - Grid lines visible in both directions; y-only grid would further refine the design + - np.random.seed(42) is unnecessary as no random functions are actually called + - Tooltips via layer_tooltips() are only visible in HTML export, not in the static + PNG being evaluated + image_description: The plot displays a band plot showing sensor temperature readings + with a 95% confidence interval over 10 seconds. A light blue semi-transparent + ribbon (alpha=0.2) represents the confidence band, with a dark orange/rust-colored + central trend line (#C75B2E) showing the mean temperature. The band clearly widens + over time, illustrating growing uncertainty. A dashed gray horizontal baseline + at 0°C provides reference. An annotation "Growing uncertainty" with an arrow connector + points to the widening band region near t=9.5s. The title "band-basic · letsplot + · pyplots.ai" appears top-left. X-axis is "Time (s)" ranging from -0.5 to ~11, + Y-axis is "Temperature (°C)" ranging from -2 to 9. The theme is minimal with subtle + gray grid lines on a white background. The sinusoidal trend oscillates between + roughly 0 and 6°C with a positive drift. criteria_checklist: visual_quality: score: 29 @@ -55,70 +58,69 @@ review: items: - id: VQ-01 name: Text Legibility - score: 8 + score: 7 max: 8 passed: true - comment: 'All font sizes explicitly set: title=24, axis_title=20, axis_text=16. - All text clearly readable.' + comment: Title=24, axis titles=20, axis text=16 all explicitly set. Annotation + text at size=12 slightly small relative to other elements. - id: VQ-02 name: No Overlap score: 6 max: 6 passed: true - comment: No overlapping text elements. Annotation, axis labels, and tick labels - well-separated. + comment: No overlapping text. Annotation positioned clear of data and labels. - id: VQ-03 name: Element Visibility score: 6 max: 6 passed: true - comment: Band clearly visible with alpha=0.2; center line prominent at size=2.0 - with contrasting color. + comment: Line size=2.0 well-visible, ribbon alpha=0.2 clearly shows band, + dashed baseline appropriately subtle. - id: VQ-04 name: Color Accessibility score: 4 max: 4 passed: true - comment: Blue and orange distinguishable across all common color blindness - types. + comment: Blue (#306998) and orange (#C75B2E) provide excellent colorblind-safe + contrast. - id: VQ-05 name: Layout & Canvas - score: 3 + score: 4 max: 4 passed: true - comment: 'Good proportions overall. Minor: y-axis extends to 10 while max - data ~9, slight unused space at top.' + comment: Good canvas utilization with balanced margins. Data fills plot area + well. - id: VQ-06 name: Axis Labels & Title score: 2 max: 2 passed: true - comment: Time (s) and Temperature (°C) — descriptive with units. + comment: Time (s) and Temperature (°C) both descriptive with units. design_excellence: - score: 13 + score: 15 max: 20 items: - id: DE-01 name: Aesthetic Sophistication - score: 5 + score: 6 max: 8 passed: true - comment: Thoughtful complementary blue-orange palette, custom gray tones for - text hierarchy. Above defaults but not publication-level. + comment: Custom palette with intentional text color hierarchy. Annotation + with arrow adds professional touch. Clearly above configured defaults. - id: DE-02 name: Visual Refinement score: 4 max: 6 passed: true - comment: theme_minimal removes spines, minor grid removed, major grid subtle, - custom text colors. Good refinement. + comment: theme_minimal() removes spines, minor grid removed, major grid subtle. + Grid lines still visible in both directions. - id: DE-03 name: Data Storytelling - score: 4 + score: 5 max: 6 passed: true - comment: Growing uncertainty annotation highlights key insight. Color contrast - creates clear visual hierarchy. + comment: Growing uncertainty annotation with arrow highlights key insight. + Color contrast creates visual hierarchy. Baseline adds context. spec_compliance: score: 15 max: 15 @@ -128,27 +130,29 @@ review: score: 5 max: 5 passed: true - comment: Correct band plot with filled region and central trend line. + comment: Correct band plot with filled region between boundaries and central + trend line. - id: SC-02 name: Required Features score: 4 max: 4 passed: true - comment: Semi-transparent fill, central line in contrasting color, smooth - interpolation, 95% CI all present. + comment: Semi-transparent fill, central line in contrasting color, 100 data + points, smooth rendering. - id: SC-03 name: Data Mapping score: 3 max: 3 passed: true - comment: X=time, ymin/ymax define band, center line shows mean. + comment: X=time, Y=temperature with lower/upper bounds and center correctly + mapped. - id: SC-04 name: Title & Legend score: 3 max: 3 passed: true - comment: Title format matches required pattern. No legend needed for simple - two-element band plot. + comment: Title band-basic · letsplot · pyplots.ai in correct format. No legend + needed for single-series. data_quality: score: 14 max: 15 @@ -158,21 +162,21 @@ review: score: 5 max: 6 passed: true - comment: Shows growing band width, sinusoidal+linear trend. Could show narrowing - section for fuller coverage. + comment: Shows band with varying width, sinusoidal trend, values crossing + zero. Could show slightly more complexity. - id: DQ-02 name: Realistic Context score: 5 max: 5 passed: true - comment: Sensor temperature readings with 95% CI is realistic and neutral. + comment: Sensor temperature readings with 95% CI is a real-world plausible, + neutral scientific scenario. - id: DQ-03 name: Appropriate Scale score: 4 max: 4 passed: true - comment: Temperature 0-6°C with CI extending to -2 to 9°C plausible for sensor - data. + comment: Temperature -2 to 9°C and time 0-10s are sensible for sensor readings. code_quality: score: 10 max: 10 @@ -189,41 +193,43 @@ review: score: 2 max: 2 passed: true - comment: np.random.seed(42) set. + comment: np.random.seed(42) set. Data generation is deterministic. - id: CQ-03 name: Clean Imports score: 2 max: 2 passed: true - comment: All imports are used. + comment: All imports are used in the code. - id: CQ-04 name: Code Elegance score: 2 max: 2 passed: true - comment: Clean, well-organized, appropriate complexity. + comment: Clean, Pythonic. Appropriate complexity for the visualization. - id: CQ-05 name: Output & API score: 1 max: 1 passed: true - comment: Saves as plot.png via ggsave with scale=3. + comment: Saves as plot.png via ggsave(scale=3). Also exports HTML. Current + API. library_mastery: - score: 7 + score: 8 max: 10 items: - id: LM-01 name: Idiomatic Usage - score: 4 + score: 5 max: 5 passed: true - comment: Proper ggplot grammar with geom_ribbon + geom_line layering, aes() - mappings, theme overrides. + comment: Expert ggplot grammar with proper aes() mappings, layer composition, + geom_ribbon/geom_line, theme customization, ggsave(scale=3), ggsize(1600, + 900). - id: LM-02 name: Distinctive Features score: 3 max: 5 passed: true - comment: layer_tooltips() with custom formatting is distinctive to letsplot. - HTML export also library-specific. - verdict: REJECTED + comment: Uses layer_tooltips() with format/line chaining (letsplot-distinctive), + arrow(), and to_html() export. Tooltips invisible in PNG. + verdict: APPROVED