输入csv文件内容:
Loop Count,1000,,,,,
Data1,Artefact,,,,,
,TWHashTable,,,,,
, ,Insert,TBB:892,TW:6242,,
, ,Find,TBB:203,TW:721,,
, ,DeleteAll,TBB:33,TW:1372369,,
Data2,Artefact,,,,,
,TWUtils,,,,
, ,Insert,TBB:892,TW:6242,,
, ,Find,TBB:203,TW:721,,
, ,DeleteAll,TBB:33,TW:1372369,,
预期输出:
循环计数 | 1000 | >FIELD3 | FIEDD5FIELD | |||
---|---|---|---|---|---|---|
数据1 | 艺术 | |||||
TWHashTable | ||||||
插入 | TBB:892 | TW:6242 | ||||
查找 | TBB:203 | TW:721 | ||||
全部删除 | TBB:33 | TW:1372369 | ||||
数据2 | ||||||
TWUtils | ||||||
插入 | TBB:892 | TW:6242 | ||||
查找 | TBB:203 | TW:721 | ||||
全部删除 | TBB:33 | TW:1372369 |
import pandas as pd
df = pd.read_csv("your_csv_file.csv")
with open("my_markdown.md", 'w') as md:
df.to_markdown(buf=md, tablefmt="grid")
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解决方案:
df = pd.read_csv(csvFile, engine='python')
with open("my_markdown.md", 'w') as md:
df.fillna('', inplace=True)
df.to_markdown(buf=md, index=False)