issues: 187889935
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 187889935 | MDExOlB1bGxSZXF1ZXN0OTI3MDcyODI= | 1095 | Alternate approach to serializing netcdfs for dask.distributed | 1217238 | closed | 0 | 4 | 2016-11-08T03:03:07Z | 2018-07-31T22:54:45Z | 2016-11-21T04:10:23Z | MEMBER | 0 | pydata/xarray/pulls/1095 | Alternative to https://github.com/pydata/xarray/pull/1083 Based on @mrocklin's suggestion of (ab)using pickle. The good news is that this version can handle many more types out of the box (no datetime64 or timedelta64, though), and I don't need to do anything special for all of my other special array types further away from netCDF files. cc @pwolfram -- maybe you'll have more luck with this version? |
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13221727 | pull |