[surface-basic] Basic 3D Surface Plot

[MarkusNeusinger]

Description

A 3D surface plot visualizes a function of two variables as a continuous surface in three-dimensional space. The height (z-axis) represents the function value at each (x, y) point, with color often encoding the same or additional information.

Key Features

• Continuous surface in 3D space
• Height representing function values
• Color mapping for additional dimension
• Interactive rotation in some libraries

Applications

• Mathematical function visualization
• Terrain and topographic data
• Response surfaces in optimization
• Physical phenomena (temperature fields, etc.)

Data Requirements

• x (numeric array) - X-axis grid values
• y (numeric array) - Y-axis grid values
• z (2D numeric array) - Height values at each (x,y) point
• Grid: typically 20x20 to 100x100 points

Visual Elements

• Mesh or smooth surface
• Color gradient showing height or other variable
• 3D axes with labels
• Optional: wireframe overlay
• Optional: contour lines on base plane

[claude]

✅ Spec ID: surface-basic

Rationale: A basic 3D surface plot showing function values as a continuous surface in 3D space. This is a new plot type - no existing 3D surface spec found.

Add label approved to begin generation.

[github-actions]

✅ Specification Ready: surface-basic

PR: #1022

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specification.md

surface-basic: Basic 3D Surface Plot

Description

A 3D surface plot visualizes a function of two variables as a continuous surface in three-dimensional space. The height (z-axis) represents the function value at each (x, y) point, with color encoding the same information to enhance depth perception. This visualization is ideal for understanding mathematical functions, terrain data, and response surfaces where the relationship between two inputs and one output needs to be explored.

Applications

• Visualizing mathematical functions like z = sin(x) * cos(y) or Gaussian surfaces
• Displaying terrain elevation data and topographic maps
• Analyzing response surfaces in optimization and experimental design
• Showing temperature, pressure, or other physical fields across a 2D domain

Data

• x (numeric array) - X-axis grid values, typically uniformly spaced
• y (numeric array) - Y-axis grid values, typically uniformly spaced
• z (2D numeric array) - Height values at each (x, y) point
• Size: 30x30 to 50x50 grid points for clear visualization

Notes

• Use a smooth colormap (e.g., viridis, coolwarm) to show height variation
• Include axis labels for x, y, and z dimensions
• Consider adding a colorbar to show the value scale
• For interactive libraries, enable rotation to explore the surface from different angles

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Next: Add approved label to merge this specification to main.

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🤖 spec-create workflow

[github-actions]

🚀 Specification Merged!

Specification: surface-basic
PR: #1022 (merged)

The specification is now in main and synced to PostgreSQL.

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Next: Add generate:{library} labels to start generating implementations.

Available libraries: matplotlib, seaborn, plotly, bokeh, altair, plotnine, pygal, highcharts, letsplot

Or use workflow dispatch for bulk operations.

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🤖 spec-create workflow