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html_url issue_url id node_id user created_at updated_at author_association body reactions performed_via_github_app issue
https://github.com/pydata/xarray/issues/1086#issuecomment-258753366 https://api.github.com/repos/pydata/xarray/issues/1086 258753366 MDEyOklzc3VlQ29tbWVudDI1ODc1MzM2Ng== 167164 2016-11-07T05:56:26Z 2016-11-07T05:56:26Z NONE

Squeeze is pretty much identical in efficiency. Seems very slightly better (2-5%) on smaller datasets. (I still need to add the final [data_vars] to get rid of the extraneous index_var columns, but that doesn't affect performance much).

I'm not calling pandas.tslib.array_to_timedelta64, to_dataframe is - the caller list is (sorry, I'm not sure of a better way to show this):

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