Metadata-Version: 2.0
Name: tssim
Version: 0.1.1
Summary: .
Home-page: https://github.com/mansenfranzen/tssim
Author: Franz Woellert
Author-email: franz.woellert@gmail.com
License: MIT license
Keywords: tssim
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Natural Language :: English
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.6
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Requires-Dist: bokeh
Requires-Dist: numpy
Requires-Dist: pandas

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tssim
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.. image:: https://img.shields.io/pypi/v/tssim.svg
        :target: https://pypi.python.org/pypi/tssim

.. image:: https://img.shields.io/travis/mansenfranzen/tssim.svg
        :target: https://travis-ci.org/mansenfranzen/tssim

.. image:: https://readthedocs.org/projects/tssim/badge/?version=latest
        :target: https://tssim.readthedocs.io/en/latest/?badge=latest
        :alt: Documentation Status

.. image:: https://pyup.io/repos/github/mansenfranzen/tssim/shield.svg
     :target: https://pyup.io/repos/github/mansenfranzen/tssim/
     :alt: Updates

.. image:: https://coveralls.io/repos/github/mansenfranzen/tssim/badge.svg?branch=master
     :target: https://coveralls.io/github/mansenfranzen/tssim?branch=master
     :alt: Updates


Convenient time series simulation/generation package.

* Free software: MIT license
* Documentation: https://tssim.readthedocs.io.


Features
--------

* TODO

Credits
---------

This package was created with Cookiecutter_ and the `audreyr/cookiecutter-pypackage`_ project template.

.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _`audreyr/cookiecutter-pypackage`: https://github.com/audreyr/cookiecutter-pypackage



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History
=======

0.1.1 (2017-04-23)
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* Add wrapped numpy random functions for easier time function creation.
* Restructure package structure into 'core' and 'functions'.


0.1.0 (2017-04-16)
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* Add TimeSeries and TimeSeriesResult.
* Add TimeTrack and TimeTrackResult.
* Add TimeFunction.
* Add function examples.


