Skip to main content

A package for handling computing frustration in dynamical systems

Project description

This package aims to analyze time series of dynamical models by looking at their underlying matrix of interaction (i.e. the matrix of Jacobian coefficients). The package has methods to preprocess and plot time series, infer their time-evolving matrices of Jacobian coefficients, treat those matrices as the adjacency matrix of a signed directed graph, compute the triadic and global balance of the time series, and plot the evolution of balance/frustration in the network. A detailed user manual has been uploaded to the github repository https://github.com/abadreddine/FrustrationDynamiX/tree/main

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

FrustrationDynamiX-0.2.8.tar.gz (8.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

FrustrationDynamiX-0.2.8-py3-none-any.whl (8.5 kB view details)

Uploaded Python 3

File details

Details for the file FrustrationDynamiX-0.2.8.tar.gz.

File metadata

  • Download URL: FrustrationDynamiX-0.2.8.tar.gz
  • Upload date:
  • Size: 8.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.11.5

File hashes

Hashes for FrustrationDynamiX-0.2.8.tar.gz
Algorithm Hash digest
SHA256 647bfd64ebb74f3715fb929316e86380b7340b6e9f1c2a0f74ffe6ca5ab255b2
MD5 73a3c4c70739fd7743ab8307a9521754
BLAKE2b-256 55b6499651b47c11d7de8dc5616890857d463e4f4eb32e008a76c51ea09b50b5

See more details on using hashes here.

File details

Details for the file FrustrationDynamiX-0.2.8-py3-none-any.whl.

File metadata

File hashes

Hashes for FrustrationDynamiX-0.2.8-py3-none-any.whl
Algorithm Hash digest
SHA256 aaeeeb8e8272675cd30affb102a4391835df5237bf59b0f158fac0e0733d55b2
MD5 9fa05e05808186d6bd1fbe1e0d861a5e
BLAKE2b-256 f3ac5da56f6c7e67650a2d6e74a26e34172c509e4157bdc308fea246441bbf5b

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