High Level Expressions for Dask
Project description
Dask Expressions
Dask DataFrames with query optimization.
This is a proof-of-concept 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 project is a work in progress and will be changed without notice or deprecation warning. Please provide feedback, but it's best to avoid use in production settings.
API Coverage
dask_expr.DataFrame
absadd_prefixadd_sufixalignallanyapplyassignastypeclipcombine_firstcopycountdaskdropdrop_duplicatesdropnadtypesevalexplodefillnagroupbyheadidxmaxidxminìlocindexisinisnajoinmapmap_overlapmap_partitionsmaxmeanmemory_usagemergeminminmodenlargestnsmallestnunique_approxpartitionspivot_tableprodqueryrenamerename_axisrepartitionreplacereset_indexroundsamplesort_valuesselect_dtypesset_indexshufflestdsumtailto_parquetto_timestampvarvisualize
dask_expr.Series
absalignallanyapplyastypebetweenclipcombine_firstcopycountdaskdrop_duplicatesdropnadtypeexplodefillnagroupbyheadidxmaxidxminindexisinisnamapmap_partitionsmaxmeanmemory_usageminminmodenlargestnsmallestnunique_approxpartitionsprodrename_axisrepartitionreplacereset_indexroundshufflestdsumtailto_frameto_timestampuniquevalue_countsvarvisualize
dask_expr.Index
absalignallanyapplyastypeclipcombine_firstcopycountdaskdtypefillnagroupbyheadidxmaxidxminindexisinisnamap_partitionsmaxmemory_usageminminmodenunique_approxpartitionsprodrename_axisrepartitionreplacereset_indexroundshufflestdsumtailto_frameto_timestampvarvisualize
dask_expr._groupby.GroupBy
aggaggregateapplycountfirstlastmaxmeanminprodshiftsizestdsumtransformvalue_countsvar
dask_expr._resample.Resampler
aggcountfirstlastmaxmeanmedianminnuniqueohlcprodquantilesemsizestdsumvar
dask_expr._rolling.Rolling
aggapplycountmaxmeanmedianminquantilestdsumvarskewkurt
Binary operators (DataFrame, Series, and Index):
__add____radd____sub____rsub____mul____rmul____truediv____rtruediv____lt____rlt____gt____rgt____le____rle____ge____rge____eq____ne____and____rand____or____ror____xor____rxor__
Unary operators (DataFrame, Series, and Index):
__invert____neg____pos__
Accessors:
CategoricalAccessorDatetimeAccessorStringAccessor
Function
concatfrom_pandasmergepivot_tableread_csvread_parquetrepartitionto_parquet
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for dask_expr-0.2.6-py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 416a3ee990d7f5c9b0a8a50f89a1270c45bfaab34f54f3102ac01b704d30c837 |
|
| MD5 | 2cfb0d35d2cad392024c98fb01050b12 |
|
| BLAKE2b-256 | b31dc71c358d8ce75232c093abaf025b5855bc75d22abb5c92c2331672c82328 |
