cgdat 2.4.2
A simple csv data analyse tool.

Conditional Game Data Analyse Tool (CGAT)
===================================================
This package contains a simple csv data analyse GUI which I created for a friend of mine to help him with his data analysis.

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   :target: https://www.python.org/downloads/release/python-370/
   :alt: Python version badge

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   :target: https://github.com/rickstaa/CGDAT
   :alt: Maintained badge

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   :target: https://github.com/rickstaa/CGDAT/blob/master/LICENSE
   :alt: License badge

|

.. image:: https://raw.githubusercontent.com/rickstaa/CGDAT/master/cgdat/static/media/CGDAT_small.png
   :target: https://github.com/rickstaa/CGDAT
   :alt: CGDAT LOGO

Installation
----------------------

Installation
=====================

Install using the python package index (PyPi)
---------------------------------------------------

OS X & Linux
^^^^^^^^^^^^^^^^^^^^^^^^^

::

    pip install cgdat

.. Warning::
    This package was only tested on the windows operation system.

Windows
^^^^^^^^^^^^^^^^^^^

::

    pip install cgdat

Development setup
------------------------------

If you want to manually install the python package please fork from `github <https://github.com/rickstaa/CGDAT>`__ and run the following commands::

    python setup.py build
    python setup.py develop
    python setup.py install

A overview of the CGDAT GUI.

Usage
=====================================
This package can both be imported as a python package or run as a stand alone gui (see fig 1). To import the python package use ``import cgdat``. To use as a stand alone package run the ``cgdat-gui`` cmd.

Tool interface
-------------------------

.. figure:: https://raw.githubusercontent.com/rickstaa/CGDAT/master/cgdat/static/media/gui_overview.png
   :scale: 100 %
   :alt: A overview of the CGDAT GUI window.

   Fig 1: A overview of the CGDAT GUI.

Functions
-----------------------

This repository can be used to perform a simple csv game data filtering. The tool can filter a input data file based on:

* Conditions:
    * Example: ``Speed > 10 & Acceleration < 5``
* A time section file:
    * A file containing a ``Start Time`` and ``End Time`` column specifying the sections where you want to apply the condition filter.
* Player name:
    * In the gui you can specify for which players you want to conduct the analysis. For this option to work the ``input_data.csv`` file needs to contain a ``Name`` column.

Further you can add also add a safety padding to the data filtering. Meaning that the program will also include a number of samples before and after the specified conditions are met.

Console commands
--------------------------

This package also installs some additional console commands:

* ``cgdat-gui`` - This will launch the CGDAT gui.
* ``cgdat-shortcut`` - This will create a shortcut to launch the GUI on your desktop folder.

Further documentation
==============================

Additional documentation can be loaded in the GUI by clicking the `documentation` option in the help menu or pressing the `F2` shortcut.

Additional information
===============================

Licence
-------------------------------
This tool is licensed under a `MIT license <https://github.com/rickstaa/CGDAT/blob/master/LICENSE>`__.

Meta
-----------------------------------------------

Rick Staa \- `github page <https://github.com/rickstaa>`__

Contributing
----------------------------------

1. Fork it (<https://github.com/rickstaa/CGDAT>)
2. Create your feature branch (`git checkout -b feature/fooBar`)
3. Commit your changes (`git commit -am 'Add some fooBar'`)
4. Push to the branch (`git push origin feature/fooBar`)
5. Create a new Pull Request

Contributors
-----------------------------
* Created by Rick Staa
* Maintained by Wesley Bosman `(wesleybosmann@gmail.com <mailto:wesleybosmann@gmail.com>`__)

Credits
-----------------------------
* CDAT icon created by FreePis from `www.flaticon.com <https://www.flaticon.com>`__.