FDApy: a Python package for functional data

01/26/2021
by   Steven Golovkine, et al.
0

We introduce the Python package, FDApy, as an implementation of functional data. This package provide modules for the analysis of such data. It includes classes for different dimensional data as well as irregularly sampled functional data. A simulation toolbox is also provided. It might be used to simulate different clusters of functional data. Some methodologies to handle these data are implemented, such as dimension reduction and clustering. New methods can be easily added. The package is publicly available on the Python Package Index and Github.

READ FULL TEXT
research
11/04/2022

scikit-fda: A Python Package for Functional Data Analysis

The library scikit-fda is a Python package for Functional Data Analysis ...
research
07/07/2017

Object-Oriented Software for Functional Data

This paper introduces the funData R package as an object-oriented implem...
research
07/03/2018

FluidFFT: common API (C++ and Python) for Fast Fourier Transform HPC libraries

The Python package fluidfft provides a common Python API for performing ...
research
07/25/2018

Turbulucid: A Python Package for Post-Processing of Fluid Flow Simulations

A Python package for post-processing of plane two-dimensional data from ...
research
01/05/2023

TextDescriptives: A Python package for calculating a large variety of statistics from text

TextDescriptives is a Python package for calculating a large variety of ...
research
05/04/2022

pyRDF2Vec: A Python Implementation and Extension of RDF2Vec

This paper introduces pyRDF2Vec, a Python software package that reimplem...
research
10/11/2021

Birth-and-death Processes in Python: The BirDePy Package

Birth-and-death processes (BDPs) form a class of continuous-time Markov ...

Please sign up or login with your details

Forgot password? Click here to reset