Skip to main content

Functional Data Analysis Python package.

Project description

Functional Data Analysis, or FDA, is the field of Statistics that analyses data that depend on a continuous parameter.

This package offers classes, methods and functions to give support to FDA in Python. Includes a wide range of utils to work with functional data, and its representation, exploratory analysis, or preprocessing, among other tasks such as inference, classification, regression or clustering of functional data. See documentation or visit the github page of the project for further information on the features included in the package.

The documentation is available at, which includes detailed information of the different modules, classes and methods of the package, along with several examples showing different funcionalities.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for scikit-fda, version 0.6
Filename, size File type Python version Upload date Hashes
Filename, size scikit_fda-0.6-py2.py3-none-any.whl (339.5 kB) File type Wheel Python version py2.py3 Upload date Hashes View
Filename, size scikit-fda-0.6.tar.gz (266.3 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring DigiCert DigiCert EV certificate Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page