Comments (2)
I will look into this when I get a chance-- the most robust way to handle it would be to use the NumPy datetime64 dtype, but that is still undergoing change. There might be another workaround
from pandas.
This has been fixed in the HDFStore class (completely overhauled over the last day or two) ...legacy files will still have the problem but new files will be able to store pre-epoch dates (and there is a unit test to prove it!)
from pandas.
Related Issues (20)
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from pandas.