Metadata-Version: 1.1
Name: PyMICE
Version: 1.2.0
Summary: PyMICE - a Python® library for mice behavioural data analysis
Home-page: https://neuroinflab.wordpress.com/research/pymice/
Author: Jakub M. Dzik a.k.a. Kowalski, S. Leski (Laboratory of Neuroinformatics; Nencki Institute of Experimental Biology)
Author-email: jakub.m.dzik+pymice@gmail.com, sz.leski+pymice@gmail.com
License: GPL3
Description: PyMICE Python library
        =====================
        
        .. image:: https://badge.fury.io/py/PyMICE.svg
            :target: https://badge.fury.io/py/PyMICE
            :alt: PyPI badge
        
        .. image:: https://travis-ci.org/Neuroinflab/PyMICE.svg?branch=master
            :target: https://travis-ci.org/Neuroinflab/PyMICE
            :alt: Travis badge
        
        .. image:: https://img.shields.io/badge/License-GPL%20v3-blue.svg
            :target: https://www.gnu.org/licenses/gpl-3.0
            :alt: License: GPL v3 badge
        
        .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.832982.svg
           :target: https://doi.org/10.5281/zenodo.832982
           :alt: DOI badge
        
        PyMICE is a Python® library for mice behavioural data analysis.
        
        The library can be used for loading and analysing of data obtained
        from IntelliCage™ system in an intuitive way in Python programming language.
        
        The library provides user with an object oriented application programming
        interface (API) and a data abstraction layer. It also comes with auxiliary
        tools supporting development of analysis workflows, like data validators and
        a tool for workflow configuration.
        
        
        Terms of use
        ------------
        
        The library is available under `GPL3 license
        <http://www.gnu.org/licenses/gpl-3.0>`_.
        
        We ask that  that reference to our paper as well as to the library itself is
        provided in any published research making use of PyMICE.
        
        The recommended in-text citation format is:
        ``PyMICE (Dzik, Puścian, et al. 2017) v. 1.2.0 (Dzik, Łęski, & Puścian 2017)``
        
        and the recommended bibliography entry format:
        
          Dzik J. M., Łęski S., Puścian A. (July 21, 2017) "PyMICE" computer software
          (v. 1.2.0; RRID:nlx_158570) doi: 10.5281/zenodo.832982
        
          Dzik J. M., Puścian A., Mijakowska Z., Radwanska K., Łęski S. (June 22, 2017)
          "PyMICE: A Python library for analysis of IntelliCage data" Behavior Research
          Methods doi: 10.3758/s13428-017-0907-5
        
        If the journal does not allow for inclusion of the `resource identifier
        <http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0146300>`_
        (RRID:nlx_158570) in the bibliography, we ask to provide it in-text:
        ``PyMICE (RRID:nlx_158570) [1] v. 1.2.0 [2]``
        
          1. Dzik JM, Puścian A, Mijakowska Z, Radwanska K, Łęski S. PyMICE: A Python
             library for analysis of IntelliCage data. Behav Res Methods. 2017.
             DOI: 10.3758/s13428-017-0907-5
          2. Dzik JM, Łęski S, Puścian A. PyMICE [computer software]. Version 1.2.0.
             Warsaw: Nencki Institute - PAS; 2017. DOI: 10.5281/zenodo.832982
        
        We have provided a solution to facilitate referencing to the library. Please
        run::
        
          >>> help(pm.Citation)
        
        for more information (given that the library is imported as ``pm``).
        
        
        More details
        ------------
        
        For more details please see `The project website
        <https://neuroinflab.wordpress.com/research/pymice/>`_.
        
        
        Authors
        -------
        
        * The library
        
          * Jakub M. Dzik a.k.a. Kowalski
          * Szymon Łęski
        
        
        * Tutorial data
        
          * Alicja Puścian
        
        
        Acknowledgement
        ---------------
        
        JD and SŁ supported by Symfonia NCN grant: UMO-2013/08/W/NZ4/00691.
        
        AP supported by a grant from Switzerland through the Swiss Contribution to the
        enlarged European Union (PSPB-210/2010 to Ewelina Knapska and Hans-Peter Lipp).
        
        
Keywords: IntelliCage mice behavioural data loading analysis
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Natural Language :: English
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
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
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Software Development
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires: dateutil
Requires: matplotlib
Requires: numpy
Requires: pytz
