issue_comments: 37505097

This data as json

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/pull/59#issuecomment-37505097 https://api.github.com/repos/pydata/xarray/issues/59 37505097 MDEyOklzc3VlQ29tbWVudDM3NTA1MDk3 1217238 2014-03-13T06:58:15Z 2014-03-13T06:58:15Z MEMBER

If you're sure that 'time' is stored as pandas.DatetimeIndex (e.g., you use a standard calendar and all dates within roughly 1700-2300), you can do those comparisons with ds['time'].index, which even lets you compare to strings: ds['time'].index > '2014-01-01'. But I agree it would be nice to have a general to_datetime method like pandas. If we already wrote this functionality (and it was somewhat tricky), we might as well expose it to users.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   29067976