{ "info": { "author": "Marek Strelec", "author_email": "marek.strelec@gmail.com", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Intended Audience :: Science/Research", "License :: OSI Approved :: MIT License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Programming Language :: Python :: 2", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.5", "Topic :: Scientific/Engineering :: Bio-Informatics" ], "description": "|Logo|\n\nDEnM-Visualizer\n===============\n\n|PyPi Status|\n\nReal-time visualization software for the TriKinetics Environmental Monitor (DEnM).\n\n------------------------------------------\n\n.. contents:: Table of contents\n :backlinks: top\n :local:\n\nDependencies\n------------\n\n- `python 2.7 or 3.x `_\n- `matplotlib `_\n\nInstallation on Mac OS X\n------------------------\n\nmatplotlib\n~~~~~~~~~~\n\nIf you are using recent Python 2.7 or Python 3.x from ``_, Macports or Homebrew, then you can use the standard pip installer to install *matplotlib* binaries in the form of wheels.\n\n.. code:: sh\n\n pip install matplotlib\n\n\nDEnM-Visualizer\n~~~~~~~~~~~~~~~\n\nSimilarly, *DEnM-Visualizer* can be easily installed using pip.\n\n.. code:: sh\n\n pip install DEnM-Visualizer\n\n\nInstallation on Windows\n-----------------------\n\npython\n~~~~~~~~~~\n\nIf you don't already have Python installed, we recommend using one of the `scipy-stack\ncompatible Python distributions `_ such as *Continuum Anaconda*,\n*Python(x,y)*, or *WinPython*, which have matplotlib and other useful packages preinstalled.\n\nIn case Python 2.7 is not installed for all users (not the default), the Microsoft Visual C++ 2008 redistributable package needs to be installed.\n\nWe recommend to select \"Add Python to PATH\" in the installation process. This enables to invoke the Python interpreter from any particular directory.\n\n\nmatplotlib\n~~~~~~~~~~\n\nFor standard Python installations, you have to install matplotlib manually using pip.\n\n.. code:: sh\n\n pip install matplotlib\n\n\nDEnM-Visualizer\n~~~~~~~~~~~~~~~\n\nFinally, *DEnM-Visualizer* can be easily installed using pip.\n\n.. code:: sh\n\n pip install DEnM-Visualizer\n\nUsage\n-----\n\n*DEnM-Visualizer* can be executed directly, or in terminal\n\n.. code:: sh\n\n denmonitor.pyw\n\nText files generated by *DEnM* can be loaded using the Settings window.\n\nLicense\n-------\n\nSee the `LICENSE `_ file for license rights and limitations (MIT).\n\nAuthors\n-------\n\n- Marek Strelec\n- Samuel Rund\n\n\n.. |Logo| image:: https://raw.githubusercontent.com/samrund/DEnM_Visualizer/master/logo.png\n.. |PyPi Status| image:: https://img.shields.io/pypi/v/tqdm.svg\n :target: https://pypi.python.org/pypi/DEnM-Visualizer", "description_content_type": null, "docs_url": null, 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