Filling Time series: Package to fill missing values in geophysical time series in Python
Project description
Filling Time Series
Filling missing values in geophysical time series
About Filling Time Series
Filling Time Series is a Python package to help professionals work with geophysical time series by filling missing values in their data developed at the Centro de Investigaciones GeofÃsicas (CIGEFI), Universidad de Costa Rica (UCR).
Last updates
- Fixing Ulrych and Clayton Method (Alfaro & Soley, 2009)(Ureña, Alfaro & Soley, 2016)
Documentation
Documentation will be available soon.
Features
- Autoregression-based method
- Principal-components-based method
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
License
MIT License
Free Software
Project details
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