issue_comments: 550966385

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/3213#issuecomment-550966385 https://api.github.com/repos/pydata/xarray/issues/3213 550966385 MDEyOklzc3VlQ29tbWVudDU1MDk2NjM4NQ== 5311739 2019-11-07T07:57:17Z 2019-11-07T07:57:17Z NONE

Thanks for rolling out support for sparse arrays!

I think it would be great to have a sparse argument in the concat function. This will be useful with join='outer', as the resultant DataArray/Dataset can become quite sparse.

As an example, I have a use case where I want to concatenate (across a new dimension) a number of DataArrays with date indexes covering different date ranges. When I use concat the memory used by the resultant array is much greater than that used by the original list of DataArrays due to the large number of NA values that appear in it.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   479942077