Xpandas
Universal 1d/2d data containers with Transformers functionality for data analysis.
Install / Use
/learn @sktime/XpandasREADME
XPandas (extended Pandas) implements 1D and 2D data containers for storing type-heterogeneous tabular data of any type,
and encapsulates feature extraction and transformation modelling in an sklearn-compatible transformer interface.
Quickstart
Install the latest version
$ pip install xpandas
and run the example jupyter notebook
$ jupyter examples/ExampleUsage.ipynb
Documentation
The full documentation is available at https://alan-turing-institute.github.io/xpandas/.
Acknowledgements
- Bernd Bischl (@berndbischl), who mentioned the idea of a general data container with transformers attached to columns in personal discussion with Franz Kiraly during a London visit in 2016.
- Franz Kiraly (@fkiraly), who initiated and funded the project up to release, and who substantially contributed to the API design.
- Haoran Xue (@HaoranXue), who, under the supervision of Franz Kiraly, earlier completed a thesis for a degree at UCL on the topic, and who wrote a similar package as part of it. No code was re-used in the creation of the XPandas package.
List of developers and contributors
