| name | plot-from-data |
| description | Generate publication-quality matplotlib figures by selecting a pre-built paper style and substituting user data.
Use when: user provides data (numbers, arrays, or CSV) and wants a chart in a specific academic style;
user asks to "plot this data", "make a bar chart", "draw a radar chart", "用这个风格画图", "把我的数据画出来";
or user selects a style name from the style catalog (bar_paired_delta, bar_grouped_hatch,
line_confidence_band, line_training_curve, line_loss_with_inset, scatter_tsne_cluster,
scatter_broken_axis, radar_dual_series).
|
Plot From Data
Generate a paper-quality figure by picking a style template and filling it with user data. All outputs are dpi=300 PNG.
Available Styles
| Style | Type | Script | 适用场景 |
|---|
bar_paired_delta | 柱状图 | scripts/bar_memevolve.py | Baseline vs method 配对对比 + 增益箭头 |
bar_grouped_hatch | 柱状图 | scripts/bar_spice.py | 多方法消融，主方法斜线填充，柱顶数值 |
line_confidence_band | 折线图 | scripts/line_selfdistill.py | 带置信区间的训练曲线 |
line_training_curve | 折线图 | scripts/line_aime.py | 垂直断点线 + 水平参考线 |
line_loss_with_inset | 折线图 | scripts/line_loss_inset.py | L 形 spine + 局部放大 inset |
scatter_tsne_cluster | 散点图 | scripts/scatter_tsne.py | t-SNE 聚类 + 注释框 |
scatter_broken_axis | 散点图 | scripts/scatter_break.py | 折断 X 轴，多 marker 系列 |
radar_dual_series | 雷达图 | scripts/radar_dora.py | 双方法多维对比，正八边形网格 |
Workflow
1. 确认用户的图类型和数据
2. 选择对应 style（如不确定，询问用户或根据数据形状推断）
3. 读取对应 references/<style_name>.md 获取精确参数
4. 复制对应 scripts/<script>.py，替换数据区（脚本顶部有清晰注释标注数据区）
5. 运行：python3 scripts/<script>.py
6. 检查输出，必要时微调颜色/标签/字号
Data Substitution Tips
每个 repro 脚本的数据区在文件顶部，通常是 np.array(...) 或字典。替换规则：
- 保持数组维度和类型不变
- 若类别数变化（如从 4 组改为 6 组），同步调整颜色列表和宽度计算
- x 轴标签、图例标签直接修改对应字符串列表
Detailed Style Parameters
Read the corresponding file in references/ for exact rcParams, colors, font sizes, spine settings, and tick directions before generating:
- Bar:
references/bar_paired_delta.md, references/bar_grouped_hatch.md
- Line:
references/line_confidence_band.md, references/line_training_curve.md, references/line_loss_with_inset.md
- Scatter:
references/scatter_tsne_cluster.md, references/scatter_broken_axis.md
- Radar:
references/radar_dual_series.md
