Related Issues (20)
- `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
- dask-expr with drop_duplicates messes with dtypes HOT 4
- 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
- FileExpired exception when reading parquet from a Minio bucket using Dask HOT 6
- ValueError: memoryview is too large (dask.array.histogram) HOT 4
- Add static type annotations HOT 4
- KeyError on existing column after executing `reset_index` and `set_index` HOT 2
- db.to_dataframe, throws: TypeError: 'coroutine' object is not iterable HOT 2
- Substantial memory usage in dask.order
- Some DataFrame API methods don't have docstrings HOT 1
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from dask.