mlsanityData to 7 Oct 2026

FDApy: a Python package for functional data

arXiv 2101.11003 ↗First posted 26 Jan 2021cs.MS cs.LG stat.COcited by 2

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Abstract (arXiv)

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.

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 3 of its 37 references that are in the map. First posted on arXiv 26 Jan 2021.

Builds on

3 of 37 references.

References · 3

  1. 2019sktime: A Unified Interface for Machine Learning with Time Seriescited by 98
  2. 2015Multivariate Functional Principal Component Analysis for Data Observed on Different (Dimensional) Domainscited by 32
  3. 2020Clustering multivariate functional data using unsupervised binary treescited by 3

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 1.

2 papers.