time_series_generator

Create synthetic time series data

https://github.com/epodium/time_series_generator

Science Score: 67.0%

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Repository

Create synthetic time series data

Basic Info

Host: GitHub
Owner: epodium
License: apache-2.0
Language: Jupyter Notebook
Default Branch: master
Size: 3.87 MB

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Stars: 0
Watchers: 5
Forks: 0
Open Issues: 6
Releases: 1

Created almost 6 years ago · Last pushed almost 5 years ago

Metadata Files

Readme License Citation Zenodo

Time Series Generator

Create synthetic time series data of defined type (or class).

Time series classes

A times series class can be provided as a Python dictionary or loaded from yaml files. The class description needs to contain all necessary characteristics of both signal (signal_defs) and noise (noise_defs).

Install

```shell

make a virtual environment

python3 -m venv venv3

activate the virtual environment

source venv3/bin/activate

upgrade pip

pip install --upgrade pip

install the package

pip install .

install the package's development dependencies

pip install .[dev]

test if the unit tests work

pytest ```

Example of a time series class definition

python TSC_01 = {'class_name': 'Simple example', 'n_timepoints': 400, 'n_channels': 6, 'signal_defs': [{'peaks_per_ch' : 1, 'channels' : [3,4,5], 'n_ch' : [2, 3], 'length' : [50,80], 'position' : [50,160], 'extra_shift' : [-10,10], 'amp' : [0.7,1], 'sign' : 1, 'signal_type' : 'peak_exponential' }], 'noise_defs': [{'channels' : 'all', 'noise_amp' : [0.05,0.06], 'noise_type' : 'gaussian' }, {'channels' : 'all', 'noise_amp' : [0.018,0.022], 'noise_type' : 'random_walk' }] } The defined class can then be used to generate according time series. ```python import TSgenerator as TSgen import TSplotting as TSplot

X = TSgen.generateTS(TSC01, randomseed = None, ignorenoise = False)

TSplot.plotTS(X, TSC01) ```

Citation (CITATION.cff)

# YAML 1.2
---
abstract: "Python library to define and generate synthetic time series data"
authors: 
  -
    affiliation: "Netherlands eScience Center"
    family-names: Huber
    given-names: Florian
    orcid: "https://orcid.org/0000-0002-3535-9406"
cff-version: "1.1.0"
date-released: 2021-03-11
doi: "10.5281/zenodo.4596774"
keywords: 
  - Python
  - "synthetic data"
  - "time series analysis"
  - "machine learning"
  - classification
license: "Apache-2.0"
message: "If you use this software, please cite it using these metadata."
repository-code: "https://github.com/epodium/time_series_generator"
title: "time_series_generator"
version: "0.1.0"
...

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