Trick: 根据索引自适应二维矩阵数据显示

## 结果
![](http://research.lifs.top/usr/uploads/2025/01/2223123615.png)

## 思路
- 简单而言就是先列举行和列，去重。
- 根据行和列的列表取出索引来填充列表。
- `from IPython.display import Markdown` 直接在Jupyter中显示内容。

## 代码
```python
import glob

def readTxt(path):
    human_plus=open(path,'r').read().split("\t")[-1].split("\n")[0]
    human=open(path,'r').read().split("\t")[-2].split("\n")[0]
    return (human_plus,human)

def getInfo(path):
    _list=path.split("/")
    return _list[-3],_list[-2]

models=set()
datasets=set()

for path in glob.glob("qwencoder-eval/instruct/eval_plus/results/Qwen/*/*/humaneval_results.txt"):
    model,dataset=getInfo(path)
    models.add(model)
    datasets.add(dataset)

models=list(models)
datasets=list(datasets)

output_array_human=[[0]*len(datasets) for _ in range(len(models))]
output_array_humanplus=[[0]*len(datasets) for _ in range(len(models))]

for path in glob.glob("qwencoder-eval/instruct/eval_plus/results/Qwen/*/*/humaneval_results.txt"):
    model,dataset=getInfo(path)
    model_index,dataset_index=models.index(model),datasets.index(dataset)
    human,human_plus=readTxt(path)
    output_array_human[model_index][dataset_index]=human
    output_array_humanplus[model_index][dataset_index]=human_plus

for model_index in range(len(models)):
    output_array_human[model_index].insert(0,models[model_index])
    output_array_humanplus[model_index].insert(0,models[model_index])
datasets=[i.replace("human_eval_docs.","").replace(".jsonl","") for i in datasets]
datasets.insert(0,"")

output_array_human.insert(0,datasets)  
output_array_humanplus.insert(0,datasets)

from IPython.display import Markdown

markdown_table=list_to_markdown_table(output_array_human)
display(Markdown(markdown_table))
```