simonaubertbd commented on issue #47460: URL: https://github.com/apache/arrow/issues/47460#issuecomment-3259216806
Hello @jorisvandenbossche Thanks for the very detailed answer. > In summary, I don't really understand what you mean with "it's read as an object because all values are null" (I don't see any difference between the all-null vs partially-null column) You're totally right, I have did my tests again and yes, it's always an object. I don't know why I didn't see it but there was as convert_dtypes() in my code that converts the non-null object to string. My apologies. Well, if I understand properly, it will be solved with pandas 3.0 :) Best regards, Simon -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: github-unsubscr...@arrow.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org
