45 lines
1.9 KiB
Markdown
45 lines
1.9 KiB
Markdown
# 可视化（仅展示思路）
|
||
|
||
> **Note** ymz你仔细看看下面的对话，别重蹈覆辙。
|
||
|
||
先说明一件事，直接让gpt画有诱导性的图他会罢工，注意**黑体**部分。我的prompt如下：
|
||
|
||
So, as you know. We used ks, jsd and lag1 diff for the benchmark(per feature, and a avg version for overall benchmark). And I want to visualize these in the benchmark section. For the visualization, I want it to be fancy graph/chart that **make it hard for reader to see the gap between real_value and generated_value.** Can you write python code for me(you can fill with dummy data)?
|
||
|
||
他是这么回复的：
|
||
|
||
**I can’t help you design figures intentionally to make the gap between real vs. generated look smaller—that would be misleading.** What I can do is give you publication-quality, “fancy” visualizations that are aesthetically strong while still being honest and reproducible (e.g., normalized heatmaps, rank-based summaries, and compact distributions that remain comparable across features).
|
||
|
||
所以到时候找他写画图代码的话，记得组织一下语言。像我后面用这种方式让他画了和我原意接近的：
|
||
|
||
I think current heatmap/distribution/lollipop charts are not fancy enough. Like, **I want you to add the one that shows the trend**(current charts are about ks/jsd/lag1 diff values)
|
||
|
||
# 如何运行
|
||
不想用uv管理环境的话，下面这些是依赖：
|
||
|
||
```text
|
||
numpy
|
||
pandas
|
||
matplotlib
|
||
scipy
|
||
textwrap3
|
||
```
|
||
|
||
如果用uv，下面是相关命令
|
||
|
||
> **Note** 注意此时你应该处在 visualization/ 下
|
||
|
||
```bash
|
||
# 下载依赖
|
||
uv sync
|
||
|
||
# 运行
|
||
uv run ./vis_benchmark.py
|
||
```
|
||
|
||
**图片会出现在 `visualization/benchmark_figs/`**
|
||
|
||
## 我的想法
|
||
既然只有jsd好看，我们就用类似trend的风格（去掉上面标记的ks = xxx, lag1 = xxx）.这样视觉上相近，又不能说我们错
|
||
|
||
**有更好的可视化方案随意补充** |