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/1524#issuecomment-324607199,https://api.github.com/repos/pydata/xarray/issues/1524,324607199,MDEyOklzc3VlQ29tbWVudDMyNDYwNzE5OQ==,1197350,2017-08-24T11:18:34Z,2017-08-24T11:18:34Z,MEMBER,"Dask implements percentile now
http://dask.pydata.org/en/latest/array-api.html#dask.array.percentile

So perhaps our version of quantile can be refactored to accommodate actual lazy computation on dask arrays, rather than simply erroring. 

In any case, I agree that automatic silent eager evaluation of dask arrays is bad. 

Sent from my iPhone

> On Aug 24, 2017, at 11:54 AM, crusaderky <notifications@github.com> wrote:
> 
> In variable.py, line 1116, you're missing a raise statement:
> 
>         if isinstance(self.data, dask_array_type):
>             TypeError(""quantile does not work for arrays stored as dask ""
>                       ""arrays. Load the data via .compute() or .load() prior ""
>                       ""to calling this method."")
> Currently looking into extending dask.percentile() to support more than 1D arrays, and then use it in xarray too.
> 
> —
> You are receiving this because you are subscribed to this thread.
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