Comments (1)
Thanks for the references! I've been picking this up as well in my review of #31. This is indeed a happy coincidence.
From an information perspective, it seems like Index
keeps track of a little more information? We don't have an equivalent of sequence_len
in xarray_beam.Key
. I can see how that would be useful -- in Xarray-Beam, you have to supply dimension sizes explicitly in Rechunk
. On the other hand, maybe you don't need that information for many operations, so it could be annoying to need to update that.
Did you consider using a frozenset
instead of a tuple
for Index
?
from xarray-beam.
Related Issues (20)
- Figure out how to combine efforts with xpartition HOT 7
- Support for striding / rolling windows HOT 1
- Consider adding ZarrToChunks() and/or an open_zarr() helper function
- Support pangeo_forge_recipes.patterns.MergeDim in `FilePatternToChunks`
- Better documentation of behaviour with irregular source chunks HOT 5
- Support opening datasets with file-like objects in a Beam pipeline
- Add `split_vars` to FilePatternToChunks transform.
- Document how to add `weather-dl` clients & manifests in the Contributing guide. HOT 1
- Running pipelines on AWS? HOT 1
- Consider omitting unchunked dimensions from Key objects created with DatasetToChunks HOT 1
- Adding source distribution for xarray-beam on PyPI HOT 2
- Help with opening netcdf4 files via HTTP HOT 19
- Support missing chunks in ConsolidateChunks
- Require using make_template() if providing a template to ChunksToZarr? HOT 2
- Simultaneously read multiple Datasets into an Xarray-Beam pipeline HOT 2
- Add CI to check that code has been formatted with pyink formatter.
- Error in ChunksToZarr appears on docs page
- Register Beam coder(s) to avoid "Using fallback deterministic coder" warnings
- Race condition in ChunksToZarr when template is not supplied explicitly as an xarray.Dataset
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from xarray-beam.