Filling Time Series (v.0.9.2)

Filling missing values in geophysical time series

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

• Fixing the error bar calculation.

Documentation

Documentation will be available soon.

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

Bug report

Bug reports can be submitted to the issue tracker at:

https://github.com/rolandojduartem/FillingTimeSeries/issues

References

• Alfaro, E., & Soley, J. (2009). Descripción de dos métodos de rellenado de datos ausentes en series de tiempo metereológicos. Revista de matemática: Teoría y Aplicaciones, 16, 60 - 75.
• Ureña, P., Alfaro, E., & Soley, J. (2016). Propuestas metodológicas para el rellenado de datos ausentes en series de tiempo geofísicas. Guía Práctica de uso. Universidad de Costa Rica.

License

MIT License

Free Software