Filling Time series: Package to fill missing values in geophysical time series in Python
Project description
Filling Time Series (v.0.9.1)
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
- Added new method: ComponentsAutoregression applies autoregression method, then, the principal components method to fill the time series.
- Small fixes in the Scree graph.
- Renaming some classes, please, check documentation.
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
License
MIT License
Free Software
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for FillingTimeSeries-0.9.1-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4d1e1f935b3e9e484ca8c568b6e44f6974918e50a5732af12a1019da88255db |
|
MD5 | 3708a4f6ba4a85a1771cc81a9397d6a3 |
|
BLAKE2b-256 | 3e2e3ab871b79202a4495d53d95dceb9e3ae68dc23df7a167c494f7f47c1fcc1 |