Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Python deprecation/ future missing dependency warning in documentation #8805

Closed
paradx opened this issue Mar 4, 2024 · 2 comments · Fixed by #9394
Closed

Python deprecation/ future missing dependency warning in documentation #8805

paradx opened this issue Mar 4, 2024 · 2 comments · Fixed by #9394

Comments

@paradx
Copy link

paradx commented Mar 4, 2024

What is your issue?

The documentation article here is showing the following warning:

/tmp/ipykernel_3629/1780901418.py:3: DeprecationWarning:
Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),
(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)
but was not found to be installed on your system.
If this would cause problems for you,
please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466

I guess the jupyter notebook under the hood of the EBP is missing this dependency.
Just something to keep in mind when xarray is bumping the pandas version.

@paradx paradx added the needs triage Issue that has not been reviewed by xarray team member label Mar 4, 2024
@max-sixty
Copy link
Collaborator

Thanks. We could add pyarrow to the docs' conda environment to silence this, would be a welcome small PR...

@kmuehlbauer kmuehlbauer added contrib-good-first-issue and removed needs triage Issue that has not been reviewed by xarray team member labels Mar 22, 2024
@BadakalaYashwanth
Copy link

In the next main version (pandas 3.0), the future release of pandas will include yarrow as a must-install library. It aims to have the Arrow string type quicker data types among others and improved interoperability with various libraries. The availability of Pyarrow on systems where Pandas is used may be essential for their normal functioning as it might raise problems with data conversion or compatibility.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

4 participants