Metadata-Version: 2.1
Name: FillingTimeSeries
Version: 0.7.3
Summary: Filling Time series: Package to fill missing values in geophysical time series in Python
Home-page: https://github.com/rolandojduartem/FillingTimeSeries
Author: Rolando Jesus Duarte Mejias, Erick Rivera Fernandez
Author-email: rolando.duartemejias@gmail.com
License: MIT
Download-URL: https://github.com/rolandojduartem/FillingTimeSeries/archive/refs/tags/v_0_7_3.tar.gz
Description: # Filling Time Series
        
        ## Filling missing values in geophysical time series
        
        ![FTS|FillingTimeSeries](https://repository-images.githubusercontent.com/404879203/f4deb7ec-6b24-4ca9-89eb-f1efc8d2fd55)
        
        ![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge&logo=python&logoColor=ffdd54) [![PyPI pyversions](https://img.shields.io/pypi/pyversions/FillingTimeSeries.svg)](https://pypi.python.org/pypi/FillingTimeSeries/) [![PyPI status](https://img.shields.io/pypi/status/FillingTimeSeries.svg)](https://pypi.python.org/pypi/FillingTimeSeries/) [![PyPI license](https://img.shields.io/pypi/l/FillingTimeSeries.svg)](https://pypi.python.org/pypi/FillingTimeSeries/)
        
        ## 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
        - Documentation is completed in the code
        
        ## Documentation
        Documentation will be available soon.
        
        ## Features
        
        - Autoregression-based method
        - Principal-components-based method
        
        ## Dependencies
        
        - [Scikit-learn](https://scikit-learn.org) For principal-components-based method
        - [Statsmodels](https://www.statsmodels.org/) For autoregression-based method
        - [Matplotlib](https://matplotlib.org/) Plotting data
        
        ## Installation
        
        - Using pip:
        
        ```
        pip install FillingTimeSeries
        ```
        
        ## Bug report
        Bug reports can be submitted to the issue tracker at:
        
        [https://github.com/rolandojduartem/FillingTimeSeries/issues](https://github.com/rolandojduartem/FillingTimeSeries/issues)
        
        ## License
        
        MIT License
        
        **Free Software**
Keywords: Time Series,Missing values,Metereology,Geophysics,Metereological
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
