issues: 161068483
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 161068483 | MDU6SXNzdWUxNjEwNjg0ODM= | 887 | Perf: use Scipy engine by default for netcdf3? | 743508 | closed | 0 | 2 | 2016-06-19T11:27:56Z | 2019-02-26T12:51:17Z | 2019-02-26T12:51:17Z | CONTRIBUTOR | Not really a bug, but I'm finding that the scipy backend is considerably faster than the netCDF backend for netCDF 3 files (using dataset: http://rda.ucar.edu/datasets/ds093.1/). Using Anaconda python with MKL. Not sure if this is always faster, but if it is perhaps xarray should default to scipy backend for netCDF 3 files? |
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completed | 13221727 | issue |