Dask Expressions
Dask DataFrames with query optimization.
This is a rewrite of Dask DataFrame that includes query optimization and generally improved organization.
More in our blog posts:
Example
import dask_expr as dx
df = dx.datasets.timeseries()
df.head()
df.groupby("name").x.mean().compute()
Query Representation
Dask-expr encodes user code in an expression tree:
>>> df.x.mean().pprint()
Mean:
Projection: columns='x'
Timeseries: seed=1896674884
This expression tree will be optimized and modified before execution:
>>> df.x.mean().optimize().pprint()
Div:
Sum:
Fused(375f9):
| Projection: columns='x'
| Timeseries: dtypes={'x': <class 'float'>} seed=1896674884
Count:
Fused(375f9):
| Projection: columns='x'
| Timeseries: dtypes={'x': <class 'float'>} seed=1896674884
Stability
This is the default backend for dask.DataFrame since version 2024.3.0.
API Coverage
Dask-Expr covers almost everything of the Dask DataFrame API. The only missing features are:
- named GroupBy Aggregations
4 maintainers
Metadata
4 maintainers
Release files for dask-expr 2.0.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| dask_expr-2.0.0-py3-none-any.whl | Python 3 | none | any | Details for dask_expr-2.0.0-py3-none-any.whl |
Total release size: 7.0 kB
Release files / dask_expr-2.0.0.tar.gz
| Download URL | dask_expr-2.0.0.tar.gz |
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| Size | 3.8 kB |
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| Tags | Python 3 |
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