issues: 29921033

This data as json

id node_id number title user state locked assignee milestone comments created_at updated_at closed_at author_association active_lock_reason draft pull_request body reactions performed_via_github_app state_reason repo type
29921033 MDU6SXNzdWUyOTkyMTAzMw== 79 Better support for batched/out-of-core computation 1217238 closed 0     3 2014-03-21T17:55:46Z 2015-09-20T23:28:22Z 2015-09-20T23:28:22Z MEMBER      

One option: add a batch_apply method:

This would be a shortcut for split-apply-combine with groupby/apply if the grouping over a dimension is only being done for efficiency reasons.

This function should take several parameters: - The dimension to group over. - The batchsize to group over on this dimension (defaulting to 1). - The func to apply to each group.

At first, this function would be useful just to avoid memory issues. Eventually, it would be nice to add a n_jobs parameter which would automatically dispatch to multiprocessing/joblib. We would need to get pickling (issue #24) working first to be able to do this.

 
{
    "url": "https://api.github.com/repos/pydata/xarray/issues/79/reactions",
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   completed 13221727 issue

Links from other tables