问题描述
我运行 iPython Notebook 服务器，并希望用户能够将 Pandas 数据帧下载为 csv 文件，以便他们可以在自己的环境中使用它.没有个人数据，所以如果解决方案涉及在服务器上写入文件(我可以这样做)然后下载该文件，我会很高兴.
I run an iPython Notebook server, and would like users to be able to download a pandas dataframe as a csv file so that they can use it in their own environment. There's no personal data, so if the solution involves writing the file at the server (which I can do) and then downloading that file, I'd be happy with that.
推荐答案
如何使用 IPython 的 FileLinks 类?我使用它来提供直接从 Jupyter 笔记本访问数据的权限.假设您的数据在 Pandas 数据帧 p_df 中:
How about using the FileLinks class from IPython? I use this to provide access to data directly from Jupyter notebooks. Assuming your data is in pandas dataframe p_df:
from IPython.display import FileLink, FileLinks
p_df.to_csv('/path/to/data.csv', index=False)
p_df.to_excel('/path/to/data.xlsx', index=False)
FileLinks('/path/to/')
将此作为笔记本单元运行，结果将是可直接从笔记本下载的文件链接列表.'/path/to' 当然需要笔记本用户可以访问.
Run this as a notebook cell and the result will be a list of links to files downloadable directly from the notebook. '/path/to' needs to be accessible for the notebook user of course.
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