Our review
Scaffolds publication-ready matplotlib code for topological data analysis (TDA) figures following trajectory_tda project conventions.
Strengths
- Enforces consistent styling with built-in publication constants.
- Provides templates for persistence diagrams, barcodes, null histograms, and landscape comparisons.
- Automatically handles output paths and file formats (PDF, PNG).
Limitations
- Requires the trajectory_tda repository to be present and set up.
- Only supports figure types listed in the templates.
- Colors and styles are predefined and cannot be customized.
Use this skill to quickly generate high-quality, compliant figures for papers or presentations within the project.
Do not use it for exploratory visualizations outside the TDA context or when free-form aesthetic choices are needed.
Security analysis
SafeThe skill is a specification for generating matplotlib figure code following project conventions. It does not instruct or perform any execution of shell commands, network operations, or file modifications. It only describes coding patterns and style guidelines, posing no direct execution risk.
No concerns found
Examples
/tda-figure-spec persistence-diagram P01-B/tda-figure-spec null-histogram P01-A/tda-figure-spec/tda-figure-spec — Generate Publication-Ready TDA Figures
Scaffold matplotlib figure code following the established trajectory_tda/viz/ conventions.
Uses PUBLICATION_RC, DPI, FIGSIZE_*, STATE_COLORS, and _save_figure from the
codebase — never ad-hoc sizes or colours.
Usage
/tda-figure-spec [figure-type] [paper-number]
Example: /tda-figure-spec persistence-diagram P01-B
Example: /tda-figure-spec null-histogram P01-A
Example: /tda-figure-spec (interactive)
Style constants (always import from trajectory_tda/viz/constants.py)
from trajectory_tda.viz.constants import (
DPI, FIGSIZE_FULL, FIGSIZE_WIDE, FIGSIZE_HALF, FIGSIZE_SQUARE,
PUBLICATION_RC, STATE_COLORS, STATES, STATE_LABELS, REGIME_LABELS,
)
import matplotlib.pyplot as plt
plt.rcParams.update(PUBLICATION_RC)
Figure size guide
| Use case | Constant | Size |
|---|---|---|
| Single full-width plot | FIGSIZE_FULL | 190mm × 120mm |
| Wide two-panel | FIGSIZE_WIDE | 190mm × 104mm |
| Half-width single panel | FIGSIZE_HALF | 90mm × 120mm |
| Square heatmap | FIGSIZE_SQUARE | 90mm × 90mm |
Save function (always use this pattern)
def _save_figure(fig, output_dir: Path, name: str) -> None:
output_dir.mkdir(parents=True, exist_ok=True)
fig.savefig(output_dir / f"{name}.pdf", format="pdf")
fig.savefig(output_dir / f"{name}.png", format="png", dpi=DPI)
Colour rules
- State space: always
STATE_COLORSdict — nevertab10or default cycle - Observations:
#2d6a2e(green); Null:steelblue; Dim 0: green; Dim 1:#1a237e - Regimes:
plt.cm.tab10withREGIME_LABELSorder - Sequential/diverging:
viridis,plasma,RdBu_r— neverjet
Annotation standards
- p-values: write
p=0.003, notp<0.01 - Axes: remove top and right spines; keep bottom and left
- Legends:
frameon=False - Subplot labels:
ax.text(0.02, 0.97, "(a)", transform=ax.transAxes, ...)
Figure templates available
| Template | When to use |
|---|---|
| plot_persistence_diagram(diagram, dim, ax) | Scatter birth-death pairs |
| plot_barcode(diagram, dim, ax) | Feature lifetimes sorted by persistence |
| plot_null_histogram(observed, null_dist, p_value, dim, ax) | Permutation test result |
| plot_landscape_comparison(obs, null, grid, ax) | L² landscape distance (mandatory) |
Output paths
| Context | Path | Naming |
|---|---|---|
| Production paper figure | papers/PXX/figures/ | fig{N}_{desc}.{pdf\|png} |
| Supplement | papers/PXX/figures/ | figS{N}_{desc}.{pdf\|png} |
| Working / exploratory | figures/{domain}/ | YYYYMMDD_{desc}.png |
Working figures must not be saved to papers/PXX/figures/ — that is for production only.
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