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https://issues.apache.org/jira/browse/BEAM-13605?focusedWorklogId=715847&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-715847
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ASF GitHub Bot logged work on BEAM-13605:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 26/Jan/22 17:27
Start Date: 26/Jan/22 17:27
Worklog Time Spent: 10m
Work Description: TheNeuralBit edited a comment on pull request #16590:
URL: https://github.com/apache/beam/pull/16590#issuecomment-1022422437
> I see a bunch of `grpc` errors in some of the unit tests. I think we can
ignore?
Yeah I think these are safe to ignore. Sometimes the GHA checks flake with
lots of `grpc.FutureTimeoutError` (BEAM-12163), in which case we can just try
re-running.
> I also see doctest errors for the `replace` method, specifically for the
`s.replace([1, 2], method='bfill')` and `s.replace('a', None)` tests. However,
when I run doctests locally, I don't see these errors. I believe these two
tests are properly accounted for under `wont_implement_ok`, but maybe I
overlooked something?
>
> Edit: I think I know why. It's because we haven't updated the version of
pandas to 1.4.0 in the precommit tasks / `setup.py`
I think your edit is correct, but that is by design. We will still verify
with pandas <1.4.0 in the Python PreCommit, because we want the API to work
with multiple minor versions of pandas.
Ideally we will find a way to modify the implementation that is still
compatible with pandas <1.4.0
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Issue Time Tracking
-------------------
Worklog Id: (was: 715847)
Time Spent: 3h 20m (was: 3h 10m)
> Support pandas 1.4.0 in the DataFrame API
> -----------------------------------------
>
> Key: BEAM-13605
> URL: https://issues.apache.org/jira/browse/BEAM-13605
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Assignee: Andy Ye
> Priority: P2
> Time Spent: 3h 20m
> Remaining Estimate: 0h
>
> 1.4.0rc1 is out now, we should verify it works with the DataFrame API, then
> increase the version range to allow it.
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