pytimetk 0.1.0
About the Initial release.
This release includes the following features:
- A workhorse plotting function called
plot_timeseries()
πͺ - Three (3) data wrangling functions that will simplify 90% of time series tasks π
- Five (5) "augmentor" functions: These add hundreds of features to time series to help in predictive tasks π§
- Two (2) time series feature summarizes: identify key aspects of your time series π
- Nine (9) pandas series and DatetimeIndex helpers (work more easily with these timestamp data structures) β²
- Four (4) date utility functions that fill in missing function gaps in pandas πΌ
- Two (2) Visualization utilities to help you customize your visualizations and make them look MORE professional π
- Two (2) Pandas helpers that help clean up and understand pandas data frames with time series π
- Twelve (12) time series datasets that you can practice PyTimeTK time series analysis on π’
The PyTimeTK website comes with:
- Two (2) Getting started tutorials
- Five (5) Guides covering common tasks
- Coming Soon: Applied Tutorials in Sales, Finance, Demand Forecasting, Anomaly Detection, and more.