GitLocker: The Coding Marketplace

Description:

daskexpr 1.1.11

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:

Dask Expressions overview
TPC-H benchmark results vs. Dask DataFrame

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