issue_comments: 392682701

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https://github.com/pydata/xarray/issues/1270#issuecomment-392682701 https://api.github.com/repos/pydata/xarray/issues/1270 392682701 MDEyOklzc3VlQ29tbWVudDM5MjY4MjcwMQ== 7933853 2018-05-29T07:41:53Z 2018-05-29T07:41:53Z NONE

thanks for your elaborate response @spencerkclark

Do you happen to be using a PeriodIndex because of pandas Timestamp-limitations?

Yes, the main limitation being the limited range of years (~584) whereas my dataset spans 1800 years. Note that in glaciology, which deals with ice sheet responses over multiple millennia, this is considered a short period.

I elaborated a bit more on my problem in this issue which is in a unofficial repo, I realized too late.

Anyway, your code using cftime solves my problem 😄 indeed resampling to 'AS-JUN' is what I was looking for. Still, it would be nice to have better support for PeriodIndex in the future. It has costed me a lot of time figuring out what's going on and learning the details of all the different date & time implementations. Which is a waste in the end. 

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