issues: 1503046820
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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 |
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1503046820 | I_kwDOAMm_X85Zlqyk | 7388 | Xarray does not support full range of netcdf-python compression options | 1197350 | closed | 0 | 22 | 2022-12-19T14:21:17Z | 2023-12-21T15:43:06Z | 2023-12-21T15:24:17Z | MEMBER | What is your issue?SummaryThe netcdf4-python API docs say the following
Although ...it appears that we silently ignores the Code example```python shape = (10, 20) chunksizes = (1, 10) encoding = { 'compression': 'zlib', 'shuffle': True, 'complevel': 8, 'fletcher32': False, 'contiguous': False, 'chunksizes': chunksizes } da = xr.DataArray( data=np.random.rand(*shape), dims=['y', 'x'], name="foo", attrs={"bar": "baz"} ) da.encoding = encoding ds = da.to_dataset() fname = "test.nc" ds.to_netcdf(fname, engine="netcdf4", mode="w") with xr.open_dataset(fname, engine="netcdf4") as ds1: display(ds1.foo.encoding) ```
In addition to showing that ProposalWe should align with the recommendation from the netcdf4 docs and support |
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completed | 13221727 | issue |