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  • akleeman · 2 ✖

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  • Ensure decoding as datetime64[ns] · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
37503963 https://github.com/pydata/xarray/pull/59#issuecomment-37503963 https://api.github.com/repos/pydata/xarray/issues/59 MDEyOklzc3VlQ29tbWVudDM3NTAzOTYz akleeman 514053 2014-03-13T06:32:59Z 2014-03-13T06:32:59Z CONTRIBUTOR

Yeah, does seem that way. Unfortunately that makes comparison with datetime objects a bit awkward. Perhaps we should include a to_datetime() the way pandas does? Certainly, it would be convenient to be able to do comparisons such as:

ds['time'].data > datetime.datetime(2014, 01, 01)

This is definitely not high priority though. 

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   Ensure decoding as datetime64[ns] 29067976
37433623 https://github.com/pydata/xarray/pull/59#issuecomment-37433623 https://api.github.com/repos/pydata/xarray/issues/59 MDEyOklzc3VlQ29tbWVudDM3NDMzNjIz akleeman 514053 2014-03-12T16:55:52Z 2014-03-12T16:55:52Z CONTRIBUTOR

I'll go ahead and merge this in to fix the bug ... but I wonder if there is any way we can avoid using np.datetime64 objects. They seem under-developed / broken.

 
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   Ensure decoding as datetime64[ns] 29067976

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