## Install
The easiest method for installing ARTview is to use the conda packages from the latest release. To do this you must download and install Anaconda or Miniconda. Then use the following command in a terminal or command prompt to install the latest version of ARTview:
conda install -c jjhelmus artview
To update an older version of ARTview to the latest release use:
conda update -c jjhelmus artview
If you do not wish to use Anaconda or Miniconda as a Python environment or want to use the latest, unreleased version of ARTview see the section below on Installing from source.
## Installing from source
Installing ARTview from source is the only way to get the latest updates and enhancement to the software that have not yet made it into a release. The latest source code for ARTview can be obtained from the GitHub repository, https://github.com/nguy/ARTview. Either download and unpack the zip file of the source code or use git to checkout the repository:
git clone https://github.com/nguy/ARTview.git
To install in your home directory, use:
python setup.py install --user
To install for all users on Unix/Linux:
python setup.py build sudo python setup.py install
If you prefer to use ARTview without installing, simply add the this path to your PYTHONPATH (directory or with a .pth file) and compile the extension in-place.
python setup.py build_ext -i
## Dependencies [Py-ART](https://github.com/ARM-DOE/pyart) >= 1.6
[matplotlib](http://matplotlib.org) >= 1.1.0
[Basemap](http://matplotlib.org/basemap) >= 0.99
[PyQt4](http://www.riverbankcomputing.co.uk/software/pyqt/intro) >= 4.6
Make sure that matplotlib is loading PyQt4 as backend, for testing that execute python test/qt.py.
It is recommended to keep your Py-ART package updated, as new features may rely upon new code in Py-ART.
Also for a more smooth user experience we recomend to [configure pyart](http://arm-doe.github.io/pyart-docs-travis/user_reference/generated/pyart.load_config.html#pyart.load_config) to match the kind of files used as well as persornal preferences.
Developed on Python 2.7.7 and 2.7.9 :: Anaconda 2.0.1 and 2.1.0
ARTview has been tested on: MacOSX 10.9.4, 10.10.2, 10.10.4 Linux Debian (Jessie) Linux Red Hat (RHEL6)