DA
数据与复现
Dask
Dask是一个Python 库 ，用于 parallel 、 distributed computing that enables three critical capabilities：- **Larger-than-memory exe…
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数据与复现
SC
Scientific Visualization
维护者 K-Dense Inc. · 最近更新 2026年3月31日
Scientific Visualization：Scientific visuali。
原始来源
K-Dense-AI/claude-scientific-skills
https://github.com/K-Dense-AI/claude-scientific-skills/tree/main/scientific-skills/scientific-visualization
- 维护者
- K-Dense Inc.
- 许可
- MIT license
- 最近更新
- 2026年3月31日
技能摘要
来自 SKILL.md 的关键信息
核心说明
- 科研可视化 transforms data into clear，accurate figures ，用于 publication. Create journal-ready plots ，支持 multi-panel layouts，error bars，significance markers，、 colorblind-safe palettes. Export as PDF/EPS/TIFF ，使用 matplotlib，seaborn，、 plotly ，用于 manuscripts。
- 面向 style_presets import apply_publication_style apply_publication_style('default')。
原始文档
SKILL.md 摘录
When to Use This Skill
This skill should be used when:
- Creating plots or visualizations for scientific manuscripts
- Preparing figures for journal submission (Nature, Science, Cell, PLOS, etc.)
- Ensuring figures are colorblind-friendly and accessible
- Making multi-panel figures with consistent styling
- Exporting figures at correct resolution and format
- Following specific publication guidelines
- Improving existing figures to meet publication standards
- Creating figures that need to work in both color and grayscale
Basic Publication-Quality Figure
import matplotlib.pyplot as plt
import numpy as np
## Create figure with appropriate size (single column = 3.5 inches)
fig, ax = plt.subplots(figsize=(3.5, 2.5))
适用场景
- Creating plots 或 visuali。
不适用场景
- Do not rely on this catalog entry alone ，用于 installation 或 maintenance details。
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