Comments (4)
Sorry for that, this is nasty. We had a problem in the drop _duplicates meta calculation. I put up a pr and will Release when its in.
this is only a meta thing though, it wont affect your actual computation, so you can ignore this warning until the Release is out
from dask.
Fix is on pypi now in dask-expr 1.0.7 and will be on conda forge in a little bit
from dask.
Wow. That was blazing fast! 🚀 Thanks
Confirming that the fix worked for me
from dask.
Perfect, thanks for confirming
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Related Issues (20)
- dask.dataframe.DataFrame.reduction fails on`split_every=False` if query planning is in effect HOT 1
- as of v2024.3.1, comparing a 1D dask.array.Array to a dask.dataframe.Series fails HOT 1
- value_counts with NaN sometimes raises ValueError: No objects to concatenate HOT 2
- .loc fails to select columns from boolean array (after dask-exp update)
- Minimal dd.to_datetime to convert a string column no longer works
- ``new_dd_object``'s array logic always assumes the metadata is ``numpy``
- `vindex` as outer indexer: memory and time performance
- Hash join transfer with error cannot pickle '_contextvars.ContextVar' object HOT 6
- `set_index` returns the divisions instead of the dataframe with query planning enabled
- Preserving divisions when reading/loading dataframes with structs containing multiple fields HOT 1
- Incorrect shape computation with getitem and structured numpy array
- Poor scheduling with `flox`, leading to high memory usage and eventual failure HOT 7
- Does not work with AWS - aiobotocore related error HOT 2
- Print functions are wrong inside of map_blocks HOT 2
- Client() generate the error concurrent.futures._base.CancelledError: ('head-1-5-read-csv-19ebc21b0abac0313dd0e5004ea2fce7', 0) HOT 1
- Column aggregation with "list" produces incorrect output HOT 2
- Azure Functions using dask raise unexpected "AttributeError: 'function' object has no attribute 'fs'" for io operations HOT 6
- Incompatibility with python 3.11.9 HOT 2
- Weird behavior of `rename` HOT 3
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