issue_comments: 129069915

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/issues/521#issuecomment-129069915 https://api.github.com/repos/pydata/xarray/issues/521 129069915 MDEyOklzc3VlQ29tbWVudDEyOTA2OTkxNQ== 1197350 2015-08-08T23:30:38Z 2015-08-08T23:30:38Z MEMBER

The PR above fixes this issue. However, since my model years are in the range 100-200, I am still getting the warning

RuntimeWarning: Unable to decode time axis into full numpy.datetime64 objects, continuing using dummy netCDF4.datetime objects instead, reason: dates out of range

and eventually when I try to access the time data, an error with a very long stack trace ending with

pandas/tslib.pyx in pandas.tslib.Timestamp.__new__ (pandas/tslib.c:7638)() pandas/tslib.pyx in pandas.tslib.convert_to_tsobject (pandas/tslib.c:21232)() pandas/tslib.pyx in pandas.tslib._check_dts_bounds (pandas/tslib.c:23332)() OutOfBoundsDatetime: Out of bounds nanosecond timestamp: 100-02-01 00:00:00

I see there is a check in conventions.py that the year has to lie between 1678 and 2226. What is the reason for this?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   99836561