Comments (1)
dcherian
commented on May 20, 2024
Forgive me if I'm too eager to use this package -- I'm excited about the concepts behind it!
Thanks @spencerkclark this is great. I am excited too. See #34 for more exciting stuff!
That said there are clearly bugs. I've only run xarray's groupby tests so resample and groupby_bins operations are quite buggy.
This bug is quite bad. If I remove the compute call for result; then result.foo.compute() and result.bar.compute() work but dask.compute(result.foo.data, result.bar.data) fails as you show. I think I've messed up some dask tokens somewhere.
from flox.
Related Issues (20)
- Reporting a vulnerability HOT 1
- always factorize early
- optimize groupby for resample
- Add engine="numbagg"
- AttributeError: 'DataArrayResample' object has no attribute '_unique_coord'
- Test failure on i386: ValueError: bins must be monotonically increasing or decreasing HOT 4
- More Groupers / user stories / strategies HOT 2
- Support xarray grouper objects in xarray interface
- How to create two groups from two lists of dimension labels, and apply "sum" to each group HOT 2
- Using Xarray and Flox for custom non-aggregation functions HOT 3
- use engine flox if array is ordered? HOT 2
- "most common" Aggregator with Dask HOT 6
- Address repo-review comments
- more cohorts optimization when chunksize == 1
- add cftime benchmarks
- Optimize `split_every` HOT 4
- Error when data variables have different dimensions HOT 2
- Flox seems much slower in some cases? HOT 2
- possible support for sparse arrays HOT 2
- Examples in docs can be hard to read in dark mode HOT 1
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from flox.