DEnM-Visualizer
Real-time visualization software for the TriKinetics Environmental Monitor (DEnM).
Table of contents
Dependencies
Installation on Mac OS X
matplotlib
One convenient way to install matplotlib with other useful Python software is to use one of the Python scientific software collections:
If you are using recent Python 2.7 or Python 3.x from http://www.python.org, Macports or Homebrew, then you can use the standard pip installer to install matplotlib binaries in the form of wheels.
pip install matplotlib
DEnM-Visualizer
Similarly, DEnM-Visualizer can be easily installed using pip.
pip install DEnM-Visualizer
Installation on Windows
matplotlib
If you don't already have Python installed, we recommend using one of the scipy-stack compatible Python distributions such as Python(x,y), WinPython, Enthought Canopy, or Continuum Anaconda, which have matplotlib and many of its dependencies, plus other useful packages, preinstalled. We recommend to use Python(x,y) as it contains both matplotlib and wxpython.
Otherwise, for standard Python installations, you have to install matplotlib manually using pip.
pip install matplotlib
In this case, you will also need to install compatible versions of setuptools, numpy, python-dateutil, pytz, pyparsing, and cycler in addition to matplotlib. In case Python 2.7 is not installed for all users (not the default), the Microsoft Visual C++ 2008 redistributable package needs to be installed.
DEnM-Visualizer
Finally, DEnM-Visualizer can be easily installed using pip.
pip install DEnM-Visualizer
Usage
DEnM-Visualizer can be executed directly, or in terminal
denmonitor.pyw
Text files generated by DEnM can be loaded using the Settings window.
License
See the LICENSE file for license rights and limitations (MIT).
Authors
- Marek Strelec
- Samuel Rund