Comments (1)
I didn't use pandas.read_csv()
in the beginning because
- pandas was no dependency
- the function was not smart about figuring out whether column and row labels are present and couldn't deal with the standard format that the header has one column less than the body (one really shouldn't have to provide a parameter for this)
- it was slower than what we finally wrote
- it took a lot more memory
I still can't believe that the last two points are actually true... and maybe they aren't (anymore)...
So, switching fully to pandas.read_csv
would require a few hacks... I guess it's easier to prepend gzip.open()
instead, but I'm open also the other solution.
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Related Issues (20)
- GPU CI tests failing HOT 2
- Add working `GroupStorageType` type annotation
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from anndata.