FDApy: a Python package for functional data
This package addresses the need for accessible tools in functional data analysis, primarily for researchers and practitioners in statistics and data science, but it is incremental as it builds on existing methods.
The authors introduced FDApy, an open-source Python package for analyzing functional data, including tools for representation, dimension reduction, and dataset generation, with documentation and examples provided.
We introduce FDApy, an open-source Python package for the analysis of functional data. The package provides tools for the representation of (multivariate) functional data defined on different dimensional domains and for functional data that is irregularly sampled. Additionally, dimension reduction techniques are implemented for multivariate and/or multidimensional functional data that are regularly or irregularly sampled. A toolbox for generating functional datasets is also provided. The documentation includes installation and usage instructions, examples on simulated and real datasets and a complete description of the API. FDApy is released under the MIT license. The code and documentation are available at https://github.com/StevenGolovkine/FDApy.