I think it goes something like this like this (from the top of my head):
For historical reasons pandas did not handle NULL in integer columns. Which happens regularly in SQL or when you import csv:s. And that was always a pain, but a known pain. If you have NULL you will have to treat it as a float.
Up until recently when they introduced a new type called Int64 (distinguishable from the original int64 by the capital "I"). Unfortunately that uncovered new bugs, in particular for plotnine (ggplot for python) which is my favorite plotting library. Seems like they didn't want to handle Int64 types. Or at least not yet.
And your sibling post also gives a hint about the confusion. She also mentions seaborn which is another alternative plotting library which apparently also doesnt work.
For historical reasons pandas did not handle NULL in integer columns. Which happens regularly in SQL or when you import csv:s. And that was always a pain, but a known pain. If you have NULL you will have to treat it as a float.
Up until recently when they introduced a new type called Int64 (distinguishable from the original int64 by the capital "I"). Unfortunately that uncovered new bugs, in particular for plotnine (ggplot for python) which is my favorite plotting library. Seems like they didn't want to handle Int64 types. Or at least not yet.
And your sibling post also gives a hint about the confusion. She also mentions seaborn which is another alternative plotting library which apparently also doesnt work.