| Name | dask-expr JSON |
| Version |
1.0.13
JSON |
| download |
| home_page | None |
| Summary | High Level Expressions for Dask |
| upload_time | 2024-04-25 17:48:43 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | BSD |
| keywords |
dask
pandas
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
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](https://blog.dask.org/2023/08/25/dask-expr-introduction)
- [TPC-H benchmark results vs. Dask DataFrame](https://blog.coiled.io/blog/dask-expr-tpch-dask.html)
Example
-------
```python
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:
```python
>>> df.x.mean().pprint()
Mean:
Projection: columns='x'
Timeseries: seed=1896674884
```
This expression tree will be optimized and modified before execution:
```python
>>> 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:
- ``melt``
- named GroupBy Aggregations
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