Metadata-Version: 1.1
Name: ticts
Version: 0.2.3
Summary: A Python library for unevenly-spaced time series analysis
Home-page: https://github.com/gjeusel/ticts
Author: See AUTHORS
Author-email: "TODO@gmail.com"
License: UNKNOWN
Description: .. |travis| image:: https://travis-ci.com/gjeusel/ticts.svg?branch=master
          :target: https://travis-ci.com/gjeusel/ticts
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          :target: https://codecov.io/gh/gjeusel/ticts
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          :alt: Pypi package
        .. |python| image:: https://img.shields.io/badge/python-3.6%2B-blue.svg
          :target: https://www.python.org/downloads/release/python-360/
          :alt: Python version 3.5+
        
        .. |logo| image:: docs/_static/img/logo.svg
           :target: https://github.com/gjeusel/ticts
           :width: 50px
           :height: 20px
        
        .. |example| image:: docs/_static/img/example.png
        
        ============
        ticts |logo|
        ============
        |codecov| |travis| |python| |pypi| |readthedocs|
        
        
        A Python library for unevenly-spaced time series analysis.
        Greatly inspired by `traces <https://github.com/datascopeanalytics/traces>`_.
        
        |example|
        
        Get Started `Notebook <https://mybinder.org/v2/gh/gjeusel/ticts/master?filepath=docs%2FTutorial.ipynb>`_.
        
        Usage
        -----
        
        .. code:: python
        
           from ticts import TimeSeries
           ts = TimeSeries({
              '2019-01-01': 1,
              '2019-01-01 00:10:00': 2,
              '2019-01-01 00:11:00': 3,
           })
           assert ts['2019-01-01 00:05:00'] == 1
        
           ts['2019-01-01 00:04:00'] = 10
           assert ts['2019-01-01 00:05:00'] == 10
        
           assert ts + ts == 2 * ts
        
           from datetime import timedelta
           onemin = timedelta(minutes=1)
           ts_evenly_spaced = ts.sample(freq=onemin)
        
           # if pandas installed:
           df = ts.to_dataframe()
        
        
        Installation
        ------------
        
        .. code:: bash
        
            pip install ticts
        
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
