pull_requests: 29863225
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| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
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| 29863225 | MDExOlB1bGxSZXF1ZXN0Mjk4NjMyMjU= | 333 | closed | 0 | Unify netCDF4 and scipy backends in the public API | 1217238 | Fixes #273 and half of #272 To serialize a dataset to a string/bytes, simply use `ds.to_netcdf()`. This behavior copies `DataFrame.to_csv()` from pandas. The legacy `dump` and `dumps` methods are deprecated. My main concern is that the default "format" option is depends on what dependencies the user has installed or if they are saving a file. That seems non-ideal, but may perhaps be the most pragmatic choice given the limitations of the netCDF4 format. This change also adds: - Support for writing datasets to a particular NETCDF4 group - Support for opening netCDF3 files from disk even without netCDF4-python if scipy is installed. CC @akleeman | 2015-02-24T01:20:01Z | 2015-02-25T06:21:03Z | 2015-02-25T06:21:01Z | 2015-02-25T06:21:01Z | a26cbb42e41a0470394ff986093d1beffe18baf5 | 799013 | 0 | b624603c93a77cf024f7dfae893b55154f9741d7 | 400317e9afbbfafacb3aea4ffd70e8790c936ee6 | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/333 |
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