Filling Time series: Package to fill missing values in geophysical time series in Python
Project description
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 GeofÃsicas (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: TeorÃa y Aplicaciones, 16, 60 - 75.
- Ureña, P., Alfaro, E., & Soley, J. (2016). Propuestas metodológicas para el rellenado de datos ausentes en series de tiempo geofÃsicas. GuÃa Práctica de uso. Universidad de Costa Rica.
License
MIT License
Free Software
Project details
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