issue_comments: 656403217
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html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
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https://github.com/pydata/xarray/issues/4209#issuecomment-656403217 | https://api.github.com/repos/pydata/xarray/issues/4209 | 656403217 | MDEyOklzc3VlQ29tbWVudDY1NjQwMzIxNw== | 2448579 | 2020-07-09T23:43:17Z | 2020-07-09T23:43:17Z | MEMBER | Here's an alternative ``` python def write_block(ds, t0): if len(ds.time) > 0: fname = (ds.time[0] - t0).values.astype("timedelta64[h]").astype(int) ds.to_netcdf(f"temp/file-{fname:06d}.nc")
ds = xr.tutorial.open_dataset("air_temperature", chunks={"time": 100}) ds.map_blocks(write_block, kwargs=dict(t0=ds.time[0])).compute(scheduler="processes") ``` There are two workarounds here though.
1. The user function always has to return something.
2. We can't provide I think a cleaner API may be to have |
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