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Open question - what Pandas compat do we need? 3.6 build is the only one that tests Pandas 0.x compat. It would help the projects velocity to stop supporting Pandas 0.
This query in BigQuery shows that version 0 is extremely unpopular:
SELECT substring(file.version, 1, 1), COUNT(*) AS num_downloads
FROM `bigquery-public-data.pypi.file_downloads`
WHERE file.project = 'pandas'
-- Only query the last 30 days of history
AND DATE(timestamp)
BETWEEN DATE_SUB(CURRENT_DATE(), INTERVAL 30 DAY)
AND CURRENT_DATE()
group by substring(file.version, 1, 1)
order by 1
;
It hasn't been updated for 5 years.
I think it's rational to remove support for it. Alternatively, we could test against it in the Python 3.8 build.
The text was updated successfully, but these errors were encountered:
We need to be careful to continue to test backwards compat with Python 3.6 and Pandas 0. We should still have part of the CI that writes data in Python 3.6 with Pandas 0 and verify that later versions can work with it correctly. This is to make sure we don't break compat with already serialized data.
No longer required.
Open question - what Pandas compat do we need? 3.6 build is the only one that tests Pandas 0.x compat. It would help the projects velocity to stop supporting Pandas 0.
This query in BigQuery shows that version 0 is extremely unpopular:
It hasn't been updated for 5 years.
I think it's rational to remove support for it. Alternatively, we could test against it in the Python 3.8 build.
The text was updated successfully, but these errors were encountered: