issue_comments: 324705244

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/1517#issuecomment-324705244 https://api.github.com/repos/pydata/xarray/issues/1517 324705244 MDEyOklzc3VlQ29tbWVudDMyNDcwNTI0NA== 1217238 2017-08-24T17:38:29Z 2017-08-24T17:38:29Z MEMBER

What's rs.randn()?

Oops, fixed.

When this makes it into the public facing API it would be nice to include some guidance on how the chunking scheme affects the run time.

We already have some tips here: http://xarray.pydata.org/en/stable/dask.html#chunking-and-performance

More ambitiously I could imagine an API such as array1.chunk('place') or array1.chunk('auto') meaning to figure out a reasonable chunking scheme only once .compute() is called so that all the compute steps are known.

Yes, this would be great.

Maybe this is more specific to dask than xarray. I believe it would also be difficult.

I agree with both!

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   252358450