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tcfuse-visualize

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Aktualisiert9. Juni 2026 um 12:02

Publication-quality TC-Fuse visualizations for journal articles and preprints — matplotlib + cartopy + cmocean, SVG output via `save_fig`, shared style constants (`COL1`, `COL2`, `AR_GOLDEN`, `INTENSITY_COLORS`, `SOURCE_COLORS`), thematic modules under `src/tcfuse/data/visualization/` (fields, tracks, profiles, timeline, storm_data_visu, training). Use when writing or modifying any plotting function, adding a new figure type, or touching `style.py`.

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dauvillc

dauvillc/tcfuse

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Verwandte BerufeSOC

Basierend auf der SOC-Berufsklassifikation

SoftwareentwicklerInformatik- und Mathematikberufe·SOC 15-1252

SKILL.md

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name

tcfuse-visualize

description

Content has moved. The full skill documentation is in .agents/visualize.md. Read that file for agent behavior rules, style conventions, module layout, function signature patterns, and priority plot types.

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name

tcfuse-visualize

description

Content has moved. The full skill documentation is in .agents/visualize.md. Read that file for agent behavior rules, style conventions, module layout, function signature patterns, and priority plot types.