Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this reposito
复制下面这句话,粘贴给 Claude Code、Codex、Cursor 等 AI 编程工具,它会读取安装说明并在你确认后完成安装。
请阅读 https://ai.atlankj.com/install/asset/gh-scientific-figure-making-fe186c6569c6 ,按照其中的说明把「scientific-figure-making」安装到你(当前 AI 工具)中。执行前先告诉我将运行的命令和写入的位置,等我确认。
查看 AI 将读取的安装说明正在读取 GitHub 原文…
内容来自 GitHub 原始文件,由原作者维护。在 GitHub 查看
Open references/ only as needed; do not preload every file. Start from the table below, then follow links inside the document you opened (and into figure_* code via references/demos.md) instead of loading the full reference set up front.
figure_* projects or “same style as the repo figures.”| File | Open when |
|---|---|
| references/tutorials.md | End-to-end walkthroughs (bar, trends, heatmap) |
| references/api.md | Function signatures, PALETTE, validation rules |
| references/common-patterns.md | Layout patterns, legend panel, print-safe bars |
| references/design-theory.md | Typography, export policy, palette rationale |
| references/demos.md | Canonical figure_* demo links in figures4papers |