TSDB (Time Series DataBase)
Project description
Welcome to Time-Series Database (TSDB)
A Python Toolbox for Easily Loading Open-Source Time-Series Datasets
❖ Usage Example
Install from PyPI:
pip install tsdb
or install from source code:
pip install
https://github.com/WenjieDu/Time_Series_Database/archive/master.zip
import tsdb
tsdb.list_available_datasets() # list all available datasets in TSDB
data = tsdb.load_specific_dataset('physionet_2012') # select the dataset you need and load it, TSDB will download, extract, and process it automatically
tsdb.download_and_extract('physionet_2012', 'save it here') # if you only need the raw data, use download_and_extract()
tsdb.list_cached_data() # datasets you loaded are cached. You can check them with list_cached_data().
tsdb.delete_cached_data() # and you can delete all cache with delete_cached_data()
That's all. Simple and efficient. Enjoy it! 😃
❖ List of Available Datasets
Name | Main Tasks |
---|---|
PhysioNet Challenge 2012 | Classification, Forecasting, Imputation |
Beijing Multi-Site Air-Quality | Forecasting, Imputation |
Electricity Load Diagrams | Forecasting, Imputation |
All UCR & UEA Datasets | Classification |
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