Filling Time Series (v.1.0.0)

Filling missing values in geophysical time series

Contact

• Rolando Jesus Duarte Mejias (rolando.duartemejias@ucr.ac.cr)
• Erick Rivera Fernandez (erick.rivera@ucr.ac.cr)

About Filling Time Series

Filling Time Series is a Python package to help the users to work with geophysical time series by filling missing values in their data. Filling Time Series was developed at the Centro de Investigaciones Geofísicas (CIGEFI), Universidad de Costa Rica (UCR).

Last updates

• Stable version.

Documentation

The documentation is available on https://github.com/cigefi-ucr/FillingTimeSeriesGUI

Features

• Autoregression-based method
• Principal-components-based method
• Full method (Autoregression - Principal components)

Dependencies

• Scikit-learn For principal-components-based method
• Statsmodels For autoregression-based method
• Matplotlib Plotting data
• Pandas Data handler
• Numpy Mathematical operations in arrays

Installation

• Using pip:

pip install FillingTimeSeries

• Graphical interface: Visit https://github.com/cigefi-ucr/FillingTimeSeriesGUI

Bug report

Bug reports can be submitted to the issue tracker at:

https://github.com/cigefi-ucr/FillingTimeSeries/issues

References

• Alfaro, E., & Soley, J. (2009). Descripcion de dos metodos de rellenado de datos ausentes en series de tiempo metereologicos. Revista de matematica: Teoria y Aplicaciones, 16, 60 - 75.
• Urena, P., Alfaro, E., & Soley, J. (2016). Propuestas metodologicas para el rellenado de datos ausentes en series de tiempo geofisicas. Guia Practica de uso. Universidad de Costa Rica.

License

MIT License

Free Software