issue_comments: 42598104

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https://github.com/pydata/xarray/issues/118#issuecomment-42598104 https://api.github.com/repos/pydata/xarray/issues/118 42598104 MDEyOklzc3VlQ29tbWVudDQyNTk4MTA0 2443309 2014-05-08T19:54:54Z 2014-05-08T19:54:54Z MEMBER

Thanks, the decode_cf keyword should get me around the problem for now.

I've made a habit of always directly converting my netCDF4.datetime to true datetime.datetime objects immediately, since netCDF4 only returns real datetime objects for the Gregorian calendars.

python f = netCDF4.Dataset('sample_for_xray.nc') decoded_times = netCDF4.num2date(f.variables['time'][:], f.variables['time'].units, f.variables['time'].calendar) for i, t in enumerate(decoded_times): decoded_times[i] = datetime.datetime(*t.timetuple()[:6])

The important piece to remember if this is done is that you have to be very picky about how you calculate timedeltas between these dates since they think they are on the Gregorian calendar. I usually just keep an ordinal based time array around for that reason. 

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