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I'd prefer to put most of the heavy lifting in the feather Python library itself, unless you are worried about versioning synchronization issues? Of course we can have convenience APIs in pandas to import and invoke the appropriate feather functions. |
@wesm no for sure. Just have an overlay of testing in pandas main I think. |
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conda packages are now available here
so this should be straightforward. a couple of things to note.
LocalPath/PathLib
objects (easy as we do this in otherread_*
)feather-format
will just raise anImportError
for now.lib.infer_dtype
) to prevent in the first placeSeries
and aDataFrame
with a non-default index. As we need a facility to write/read meta-data within feather see here. Both these can simply.reset_index()
, but the problem is they can be stored but we don't know on read-back what to.set_index()
. Can just raise for now.The text was updated successfully, but these errors were encountered: