Skip to main content

Rssa for Python

Project description

pyrssa: Python package for Singular Spectrum Analysis

This package contains methods and tools for Singular Spectrum Analysis including decomposition, forecasting and gap-filling for univariate and multivariate time series. General description of the methods with many examples can be found in the book Golyandina (2018, <doi:10.1007/978-3-662-57380-8>).

pyrssa is a wrapper over Rssa package made for R language, having its own visualization methods and data structures.

Install

  1. To install the package, make sure you have any R compiler installed.
  2. Package installer for the latest released version is available at the Python Package Index (PyPI). To install the package, just run the following command:
pip install pyrssa

Install requires rpy2, numpy, pandas and matplotlib packages of any version (preferable newest ones). These packages will be installed automatically during the default installation.

Documentation

Documentation for pyrssa package is available here.

Examples

Package usage examples are available in examples folder.

Original examples with identical numbering are available here.

Source code

Source code of pyrssa package is available in pyrssa folder.

Project details


Download files

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

Source Distribution

pyrssa-1.0.10.tar.gz (3.5 MB view details)

Uploaded Source

File details

Details for the file pyrssa-1.0.10.tar.gz.

File metadata

  • Download URL: pyrssa-1.0.10.tar.gz
  • Upload date:
  • Size: 3.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.3

File hashes

Hashes for pyrssa-1.0.10.tar.gz
Algorithm Hash digest
SHA256 022ce7e2de2cc0c8ad46402388ee0d9fdb55919dcca439993a7c864a2d3df78c
MD5 85c8c881cfaf78c46d3674d905636536
BLAKE2b-256 8ea1dfd0c87441beb083381034c54566425ce403d0c874255e7c367bd4d1dc81

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page