High Level Expressions for Dask

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  • License: BSD License (BSD)
  • Maintainer: Matthew Rocklin
  • Tags dask, pandas
  • Requires: Python >=3.10
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Project description

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

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for fjetter from gravatar.com fjetter Avatar for jrbourbeau from gravatar.com jrbourbeau Avatar for phofl from gravatar.com phofl Avatar for rjzamora from gravatar.com rjzamora

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD)
  • Maintainer: Matthew Rocklin
  • Tags dask, pandas
  • Requires: Python >=3.10
Classifiers

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1.1.17

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Reason this release was yanked:

Wrong Dask Version Pin

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