Awkward Array Extension for Dataframes
Project description
akimbo
For when your data won't fit in your dataframe
Akimbo provides fast vectorized processing of nested, ragged data
in dataframes, using the .ak accessor.
Features
- numpy-like API for slicing and accessing data deep in nested structures
- apply any function, ufunc or aggregation at any level
- use with different backends: pandas, polars, dask-dataframe and cuDF exactly the same way (more backends may come in the future)
- CPU and GPU processing and support for
numba-jit - attach object-like behaviours to your record (sub)structures
See the quick start in the documentation for an introduction to akimbo.
Acknowledgements
Support for this work was provided by NSF grant OAC-2103945.
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