Metadata-Version: 2.1
Name: graphical-ts
Version: 0.2.1
Summary: Time series data simulation with underlying a graphical model
Author-email: Haixin Li <peterlai_0618@outlook.com>
Description-Content-Type: text/markdown
Requires-Dist: numpy>=1.21
Requires-Dist: scipy>=1.7
Requires-Dist: networkx>=2.6
Requires-Dist: matplotlib>=3.4
Requires-Dist: pandas>=1.3



# Graphical-TS

## Description

Graphical-TS is a Python package developed by the SCAI Lab. It offers functionalities for simulating time series data with underlying graphical structure.

## Installation

To install Graphical-TS, you can use the following pip command:

```bash
pip install graphical-ts
```

## Usage

please check the jupyter notebooks in the example folders

This package is built upon the `MultiDiGraph` from the `networkx` package. User can build dynamic graph and specify functional mapping from one variable to the other. Synthesized time series data can be generated using the structural information and the functional information.


## License

This project is licensed under the MIT License.

## Contact

For any inquiries, please contact Haixin Li at peterlai_0618(MS outlook).
