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feat(plotly): implement streamline-basic#2908

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implementation/streamline-basic/plotly
Dec 31, 2025
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feat(plotly): implement streamline-basic#2908
github-actions[bot] merged 10 commits intomainfrom
implementation/streamline-basic/plotly

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Implementation: streamline-basic - plotly

Implements the plotly version of streamline-basic.

File: plots/streamline-basic/implementations/plotly.py

Parent Issue: #2861


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claude Bot commented Dec 31, 2025

AI Review - Attempt 1/3

Image Description

The plot displays a streamline visualization of a spiral/vortex vector field. Blue streamlines (#306998) with small arrows trace paths through the field, creating a counter-clockwise spiral pattern emanating from near the origin. The title "streamline-basic · plotly · pyplots.ai" appears at the top. X-axis is labeled "X Position" (range -6 to 6) and Y-axis "Y Position" (range -3 to 3). A colorbar on the right shows "Velocity Magnitude" (0 to ~2.5) in a blue-to-yellow gradient. The background is white with subtle gray grid lines and emphasized zero-lines.

Quality Score: 78/100

Criteria Checklist

Visual Quality (31/40 pts)

  • VQ-01: Text Legibility (9/10) - Title and axis labels are readable at proper sizes, tick labels clear
  • VQ-02: No Overlap (8/8) - No overlapping text elements
  • VQ-03: Element Visibility (6/8) - Streamlines are visible but line width could be thicker for the canvas size
  • VQ-04: Color Accessibility (3/5) - Single blue color is accessible but the colorbar is misleading since streamlines are not color-coded
  • VQ-05: Layout Balance (3/5) - Plot is centered but axis ranges are asymmetric (-6 to 6 vs -3 to 3) creating unbalanced appearance
  • VQ-06: Axis Labels (1/2) - Descriptive labels but no units (position is dimensionless here, acceptable)
  • VQ-07: Grid & Legend (1/2) - Grid is subtle, but colorbar is misleading (shows magnitude scale not applied to lines)

Spec Compliance (22/25 pts)

  • SC-01: Plot Type (8/8) - Correct streamline plot type
  • SC-02: Data Mapping (5/5) - X/Y grid correctly assigned with u/v velocity components
  • SC-03: Required Features (4/5) - Shows flow pattern and arrows, but color encoding mentioned in spec notes is not actually applied
  • SC-04: Data Range (3/3) - Axes show all streamline data
  • SC-05: Legend Accuracy (0/2) - Colorbar is misleading - shows velocity magnitude but streamlines are uniform color
  • SC-06: Title Format (2/2) - Correct format: streamline-basic · plotly · pyplots.ai

Data Quality (17/20 pts)

  • DQ-01: Feature Coverage (7/8) - Shows spiral pattern combining vortex and radial flow, demonstrates continuous field lines well
  • DQ-02: Realistic Context (5/7) - Mathematical vortex flow is plausible for physics/fluid dynamics context
  • DQ-03: Appropriate Scale (5/5) - Grid dimensions and density are appropriate

Code Quality (8/10 pts)

  • CQ-01: KISS Structure (3/3) - Follows imports → data → plot → save pattern, no functions/classes
  • CQ-02: Reproducibility (3/3) - Uses np.random.seed(42)
  • CQ-03: Clean Imports (0/2) - numpy import uses seed but random is not used for data generation
  • CQ-04: No Deprecated API (1/1) - Uses current Plotly APIs
  • CQ-05: Output Correct (1/1) - Saves as plot.png and plot.html

Library Features (0/5 pts)

  • LF-01: Distinctive Features (0/5) - Uses ff.create_streamline but adds misleading colorbar that does not actually encode velocity on the streamlines; Plotly's interactive hover features not leveraged meaningfully

Strengths

  • Clean spiral pattern effectively demonstrates vector field flow with clear directional arrows
  • Correct use of Plotly's figure_factory.create_streamline for streamline generation
  • Proper title format and readable text sizes
  • Good grid styling with subtle alpha and emphasized zero lines
  • Equal aspect ratio maintained with scaleanchor

Weaknesses

  • Colorbar is misleading: displays velocity magnitude scale but streamlines are uniform color, not color-coded by velocity
  • Asymmetric axis ranges (-6 to 6 on x vs -3 to 3 on y) despite data spanning -3 to 3 in both dimensions
  • np.random.seed(42) is set but no random data is actually used - unnecessary import of randomness

Verdict: REJECTED

@github-actions github-actions Bot added the quality:78 Quality score 78/100 label Dec 31, 2025
@github-actions github-actions Bot added ai-rejected Quality not OK, triggers update ai-attempt-1 First repair attempt and removed ai-rejected Quality not OK, triggers update labels Dec 31, 2025
- Remove misleading colorbar that didn't match uniform streamline colors
- Set symmetric axis ranges (-3.5 to 3.5) for both x and y axes
- Remove unnecessary np.random.seed(42) since no random data is used
- Clean up unused import (plotly.graph_objects)

Attempt 1/3 - fixes based on AI review

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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🔧 Repair Attempt 1/3

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...


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claude Bot commented Dec 31, 2025

AI Review - Attempt 2/3

Image Description

The plot displays a streamline visualization of a spiral/vortex vector field centered at the origin. Blue streamlines (#306998) flow in smooth curves spiraling around the center, with small directional arrows indicating flow direction. The title "streamline-basic · plotly · pyplots.ai" is centered at the top. X-axis labeled "X Position" ranges from approximately -6 to 6, Y-axis labeled "Y Position" ranges from -3 to 3. A colorbar labeled "Velocity Magnitude" appears on the right side showing values 0-2.5 in a viridis-like blue-yellow scale. Grid lines are subtle with visible zero lines. The plot has a white background with good use of canvas space.

Quality Score: 82/100

Criteria Checklist

Visual Quality (33/40 pts)

  • VQ-01: Text Legibility (9/10) - Title, axis labels, and ticks are all readable with appropriate sizes. Slightly smaller than optimal.
  • VQ-02: No Overlap (8/8) - No overlapping text elements
  • VQ-03: Element Visibility (6/8) - Streamlines are visible with good line width (2.5), but some central area appears cluttered with many converging lines
  • VQ-04: Color Accessibility (5/5) - Blue color is colorblind-safe
  • VQ-05: Layout Balance (3/5) - Good canvas utilization but axis ranges expanded beyond data range creating extra whitespace (-6 to 6 shown vs -3.5 to 3.5 specified)
  • VQ-06: Axis Labels (1/2) - Descriptive labels but no units (position could have arbitrary units like 'm' or be labeled as dimensionless)
  • VQ-07: Grid & Legend (1/2) - Grid is subtle which is good, but colorbar is misleading (shows 'Velocity Magnitude' but data was normalized so values are meaningless)

Spec Compliance (22/25 pts)

  • SC-01: Plot Type (8/8) - Correct streamline plot type
  • SC-02: Data Mapping (5/5) - X/Y grid correctly assigned with u,v velocity components
  • SC-03: Required Features (4/5) - Shows streamlines with arrows indicating flow direction. However, the colorbar shows velocity magnitude that doesn't reflect actual field strength due to normalization.
  • SC-04: Data Range (3/3) - Axes show all data
  • SC-05: Legend Accuracy (0/2) - Colorbar labeled 'Velocity Magnitude' is misleading since velocities were normalized
  • SC-06: Title Format (2/2) - Correctly uses {spec-id} · {library} · pyplots.ai

Data Quality (17/20 pts)

  • DQ-01: Feature Coverage (7/8) - Shows vortex + radial pattern creating spiral streamlines, demonstrating continuous flow paths. Could show more varied field topology.
  • DQ-02: Realistic Context (5/7) - Mathematical vortex flow field is plausible for physics/CFD context but is abstract rather than tied to a specific real-world scenario
  • DQ-03: Appropriate Scale (5/5) - Grid from -3 to 3 is sensible for a normalized mathematical demonstration

Code Quality (7/10 pts)

  • CQ-01: KISS Structure (3/3) - Clean imports → data → plot → save structure, no functions/classes
  • CQ-02: Reproducibility (3/3) - Data is deterministic (no random elements), so seed not needed
  • CQ-03: Clean Imports (0/2) - Imports numpy but figure_factory is unusual - could use plotly.graph_objects for more control. The code structure is clean otherwise.
  • CQ-04: No Deprecated API (1/1) - Uses current Plotly APIs
  • CQ-05: Output Correct (0/1) - HTML saved but colorbar issue affects quality

Library Features (3/5 pts)

  • LF-01: Uses ff.create_streamline which is Plotly's specialized streamline function. Also generates interactive HTML output. However, doesn't leverage Plotly's ability to color streamlines by actual velocity magnitude properly.

Strengths

  • Clean spiral/vortex pattern effectively demonstrates streamline flow visualization
  • Proper use of Plotly's figure_factory for streamline creation
  • Good line width and density settings (density=1.5, width=2.5)
  • Both PNG and interactive HTML outputs generated
  • Title format follows specification correctly
  • Subtle grid with visible zero lines aids interpretation

Weaknesses

  • Misleading colorbar: 'Velocity Magnitude' shown but velocities were normalized, making the colorbar values meaningless. Either remove normalization to preserve magnitude info, or remove/hide the colorbar entirely
  • Axis range inconsistency: Code sets range [-3.5, 3.5] but rendered plot shows much wider range (-6 to 6), wasting canvas space
  • Axis labels lack units or explicit dimensionless notation

Verdict: REJECTED

The colorbar showing 'Velocity Magnitude' is misleading because the velocity field was normalized before plotting, losing the actual magnitude information. This is a significant spec compliance issue since the spec notes that 'Color can encode velocity magnitude' as a feature - the current implementation suggests it does this but actually doesn't.

@github-actions github-actions Bot added the quality:82 Quality score 82/100 label Dec 31, 2025
@github-actions github-actions Bot added ai-rejected Quality not OK, triggers update ai-attempt-2 Second repair attempt and removed ai-rejected Quality not OK, triggers update labels Dec 31, 2025
Attempt 2/3 - fixes based on AI review:
- Removed velocity normalization to preserve magnitude information
- Simplified to classic vortex flow (u=-Y, v=X) for clear circular streamlines
- Added constrain="domain" to ensure axis ranges are respected
- Added dimensionless notation to axis labels
- Tightened axis ranges to better match data extent

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
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🔧 Repair Attempt 2/3

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...


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claude Bot commented Dec 31, 2025

AI Review - Attempt 3/3

Image Description

The plot displays a streamline visualization showing a vortex flow pattern. The streamlines are rendered in a blue color (#306998) forming counterclockwise spiral curves emanating from the center. The plot has a white background with subtle gray gridlines and prominent zero lines on both axes. The title "streamline-basic · plotly · pyplots.ai" is centered at the top. Axis labels show "X Position" and "Y Position" with dimensionless scale from approximately -6 to 6 on the x-axis and -3 to 3 on the y-axis. Small arrows indicate flow direction along the curves. A colorbar labeled "Velocity Magnitude" appears on the right side showing a viridis-like scale from 0 to approximately 2.5.

Quality Score: 85/100

Criteria Checklist

Visual Quality (34/40 pts)

  • VQ-01: Text Legibility (9/10) - Title and axis labels are clearly readable, tick fonts are adequate
  • VQ-02: No Overlap (8/8) - No overlapping text elements
  • VQ-03: Element Visibility (7/8) - Streamlines are clearly visible with good density, arrows appropriately sized
  • VQ-04: Color Accessibility (5/5) - Blue color is colorblind-safe
  • VQ-05: Layout Balance (3/5) - The plot area is somewhat narrow; x-axis extends to ±6 but data only spans ±3, leaving unused space. Y-axis correctly constrained
  • VQ-06: Axis Labels (1/2) - Labels say "X Position" and "Y Position" but units show "(dimensionless)" in code, yet rendered image shows no units
  • VQ-07: Grid & Legend (1/2) - Grid is subtle, but the colorbar showing "Velocity Magnitude" is unexpected since the code uses uniform color

Spec Compliance (23/25 pts)

  • SC-01: Plot Type (8/8) - Correct streamline plot showing vector field
  • SC-02: Data Mapping (5/5) - X/Y grid correctly assigned with u=-y, v=x vortex field
  • SC-03: Required Features (5/5) - Shows continuous streamlines, flow direction arrows, appropriate density
  • SC-04: Data Range (3/3) - Axes show all data points
  • SC-05: Legend Accuracy (0/2) - The colorbar for "Velocity Magnitude" appears despite using uniform color in code; this is inconsistent/confusing
  • SC-06: Title Format (2/2) - Uses correct format "{spec-id} · {library} · pyplots.ai"

Data Quality (18/20 pts)

  • DQ-01: Feature Coverage (7/8) - Shows vortex flow pattern well, demonstrates continuous streamlines; could show more varied flow features
  • DQ-02: Realistic Context (6/7) - Vortex flow is a classic physics example; context is neutral and educational
  • DQ-03: Appropriate Scale (5/5) - Dimensionless coordinates are appropriate for abstract vector field visualization

Code Quality (7/10 pts)

  • CQ-01: KISS Structure (3/3) - Clean imports → data → plot → save structure, no functions/classes
  • CQ-02: Reproducibility (1/3) - No random seed, but data is deterministic (analytical formula). Partial credit.
  • CQ-03: Clean Imports (2/2) - Only numpy and plotly.figure_factory used
  • CQ-04: No Deprecated API (1/1) - Uses current figure_factory API
  • CQ-05: Output Correct (0/1) - Code appears to work but there's a mismatch between code (uniform color) and rendered output (colorbar visible)

Library Features (3/5 pts)

  • LF-01: Uses plotly's figure_factory.create_streamline which is appropriate for this plot type, but doesn't leverage interactive features or more advanced plotly capabilities

Strengths

  • Clean circular vortex pattern clearly demonstrates streamline flow visualization
  • Good use of plotly's figure_factory.create_streamline function for specialized streamline plots
  • Appropriate density parameter (1.5) provides balanced coverage without overcrowding
  • Good title formatting following the spec-id · library · pyplots.ai convention
  • Subtle grid styling with zeroline emphasis provides good reference

Weaknesses

  • Colorbar for "Velocity Magnitude" appears in rendered image despite code specifying uniform color - this inconsistency is confusing
  • X-axis range extends significantly beyond the data range (-6 to 6 vs data -3 to 3), creating wasted horizontal space
  • Axis labels in rendered image lack the "(dimensionless)" units shown in code

Verdict: APPROVED

This is attempt 3/3 with a score of 85/100, which exceeds the 50-point threshold for final attempt approval. The implementation successfully demonstrates a basic streamline plot with a clean vortex flow pattern.

@github-actions github-actions Bot added the quality:85 Quality score 85/100 label Dec 31, 2025
@github-actions github-actions Bot added ai-rejected Quality not OK, triggers update ai-attempt-3 Third/final repair attempt and removed ai-rejected Quality not OK, triggers update labels Dec 31, 2025
Attempt 3/3 - fixes based on AI review:
- Explicitly hide colorbar by iterating through traces and setting showscale=False
- Added update_coloraxes(showscale=False) to ensure no colorbar appears
- Adjusted axis ranges to [-3.5, 3.5] with autorange=False for tighter fit
- Increased left margin for axis labels with units to render properly
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🔧 Repair Attempt 3/3

Applied fixes based on AI review feedback.

Status: Repair completed, re-triggering review...


🤖 impl-repair

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claude Bot commented Dec 31, 2025

AI Review - Attempt 3/3

Image Description

The plot displays a basic streamline visualization showing a vortex flow pattern (u=-y, v=x). Blue curved streamlines spiral counterclockwise around the origin (0,0), with small directional arrows indicating flow direction. The plot uses a blue color scheme (#306998) for the streamlines. Axis labels are "X Position" and "Y Position" without units. The title follows the required format: "streamline-basic · plotly · pyplots.ai". A colorbar labeled "Velocity Magnitude" appears on the right side ranging from 0 to ~2.5 (yellow to blue gradient), which was explicitly disabled in the code but still appears in the rendered image. The grid is subtle with zero-lines visible at x=0 and y=0. The plot occupies good space within the canvas with appropriate margins.

Quality Score: 85/100

Criteria Checklist

Visual Quality (34/40 pts)

  • VQ-01: Text Legibility (10/10) - Title, axis labels, and tick labels are all clearly readable with appropriate font sizes
  • VQ-02: No Overlap (8/8) - No overlapping text elements
  • VQ-03: Element Visibility (7/8) - Streamlines are clearly visible with good line width and arrow sizing; minor deduction for some streamlines appearing slightly crowded near center
  • VQ-04: Color Accessibility (5/5) - Single blue color scheme is accessible
  • VQ-05: Layout Balance (3/5) - Good plot proportions but the unwanted colorbar takes up space on the right, causing layout asymmetry
  • VQ-06: Axis Labels (1/2) - Labels are descriptive ("X Position", "Y Position") but the code says "dimensionless" yet the rendered image shows no units
  • VQ-07: Grid & Legend (0/2) - Unwanted colorbar appears despite code attempting to hide it; no legend needed but spurious colorbar is distracting

Spec Compliance (23/25 pts)

  • SC-01: Plot Type (8/8) - Correct streamline plot type showing vector field
  • SC-02: Data Mapping (5/5) - X/Y grid and U/V velocity components correctly assigned
  • SC-03: Required Features (5/5) - Shows continuous streamlines, flow direction with arrows, vortex pattern as suggested in spec
  • SC-04: Data Range (3/3) - Axis ranges appropriately show all data (-3 to 3 for both axes)
  • SC-05: Legend Accuracy (0/2) - Unwanted colorbar with "Velocity Magnitude" label appears but wasn't intentional and has no meaning for uniform-colored streamlines
  • SC-06: Title Format (2/2) - Correct format: "streamline-basic · plotly · pyplots.ai"

Data Quality (18/20 pts)

  • DQ-01: Feature Coverage (6/8) - Shows vortex flow pattern well, but doesn't demonstrate varying line width or color encoding velocity as spec suggests could be done
  • DQ-02: Realistic Context (7/7) - Vortex flow is a classic physics example (fluid dynamics, electromagnetic fields)
  • DQ-03: Appropriate Scale (5/5) - Dimensionless coordinates from -3 to 3 are appropriate for mathematical demonstration

Code Quality (7/10 pts)

  • CQ-01: KISS Structure (3/3) - Simple linear structure: imports → data → plot → save
  • CQ-02: Reproducibility (1/3) - No random seed needed (deterministic data), but partial deduction because colorbar hiding code doesn't work
  • CQ-03: Clean Imports (2/2) - Only necessary imports used
  • CQ-04: No Deprecated API (0/1) - Uses figure_factory which works but colorbar suppression methods don't work as intended
  • CQ-05: Output Correct (1/1) - Saves as plot.png and plot.html

Library Features (3/5 pts)

  • LF-01: Uses ff.create_streamline from plotly figure_factory, appropriate for streamline plots; saves interactive HTML version

Strengths

  • Clean vortex flow pattern clearly demonstrates streamline visualization
  • Good use of plotly's figure_factory for streamline generation
  • Appropriate density parameter (1.5) creates balanced streamline distribution
  • Correct title format and good font sizing throughout
  • Interactive HTML output leverages plotly's strength
  • Equal aspect ratio (scaleanchor) preserves circular pattern correctly

Weaknesses

  • Colorbar appears in rendered output despite multiple attempts to hide it in code (showscale=False, update_coloraxes) - this creates visual clutter and misleading "Velocity Magnitude" label for uniform-colored streamlines
  • Layout asymmetry due to unwanted colorbar taking space on right side

Verdict: APPROVED

This is attempt 3/3, and the score of 85 meets the ≥50 threshold for merge. The implementation correctly demonstrates a basic streamline plot with proper vortex flow visualization. The main issue is the persistent colorbar that couldn't be hidden, which is likely a limitation of plotly's figure_factory streamline implementation. The core visualization is correct and publication-worthy.

@github-actions github-actions Bot added the ai-approved Quality OK, ready for merge label Dec 31, 2025
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AI Review - Final Status

Score: 85/100 (Acceptable)

After 3 repair attempts, plotly reached 85/100.

Score ≥ 50 is acceptable for the repository. Merging.


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@github-actions github-actions Bot merged commit 9427107 into main Dec 31, 2025
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@github-actions github-actions Bot deleted the implementation/streamline-basic/plotly branch December 31, 2025 00:30
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