Using PVGeo in a Python Environment
If you’d like to use PVGeo in Python (>=3.6) without ParaView then simply install PVGeo to your active Python environment (please note that we do not support the use of PVGeo in a Python 2 environment unless it is directly in ParaView’s build).
Install PVGeo via pip:
pip install PVGeo
PVGeo has a few non-required dependencies that enable more algorithms and features when available. All requirements can be found in the requirements.txt file in the repo but the needed requirements for PVGeo to work will be installed with PVGeo. Some useful dependencies:
Using PVGeo in ParaView
If you’d like to use PVGeo directly in ParaView’s graphical user interface, you must follow the remaining steps in this section very carefully which set up an isolated Python 2.7 environment that will be shared with your installation of ParaView. Note that after you create this environment, you should leave it alone and install PVGeo using the steps in the section above for the Python environments you use everyday.
A Brief Introduction to ParaView
ParaView is an open-source platform that can visualize 2D, 3D, and 4D (time-varying) datasets. ParaView can process multiple very large data sets in parallel then later collect the results to yield a responsive graphics environment with which a user can interact. The better the processor and graphics hardware the machine or machines hosting the software, the faster and better ParaView will run. However, it can run quite well on a laptop with a standard graphics card such as a MacBook Pro.
Since ParaView is an open source application, anyone can download the program and its source code for modifications. The easiest way to get started with ParaView is to download the compiled binary installers for your operating system.
For further help, check out the documentation provided by Kitware. In particular, the two worth looking through for a quick tour of ParaView are the The ParaView Guide and The ParaView Tutorial. One is a tutorial of the ParaView software and shows the user how to create sources, apply filters, and more. The other is a guide on how to do scripting, macros, and more intense use of the application.
Open the downloaded installer from ParaView’s website for ParaView 5.6.x (or greater) and follow the prompts with the installer.
Tour around software: Take a look at Section 2.1 of The ParaView Tutorial for details of the application’s GUI environment. Chapter 2 of the tutorial as a whole does an excellent job touring the software and its workflow for those unfamiliar with the software and its general capabilities.
One convenient feature is to save the state of the ParaView environment. This saves all the options you selected for all the filters you applied to visualize some data. Select File->Save State… (Note: this saves the absolute path of the files loaded into ParaView, so be sure to select Search for Files Under Directory… when opening these state files).
We highly recommend using Anaconda to manage your Python virtual environments, and we know installation via Anaconda Python distributions will work on Mac, Windows, and Linux operating systems. To begin using the PVGeo Python package, create a new virtual environment and install PVGeo through pip.
$ conda create -n pvgeoenv python=2.7
If you’d like to link PVGeo to ParaView, you must use a Python 2.7 virtual environment. Once you create this 2.7 environment, you can opt to never use it again as it is only necessary for holding PVGeo and its dependencies for ParaView to use. If you’d like to use PVGeo outside of ParaView, any version of Python will work (except Python 2.x on Windows).
$ source activate pvgeoenv (pvgeoenv) $ pip install PVGeo
Now you must install VTK to your virtual environment. For Linux and Mac users, simply install VTK through pip:
# Now install VTK (pvgeoenv) $ pip install vtk
Why not on Windows?
If you are installing PVGeo for use in ParaView, the VTK Python package is
available under the ParaView installation and PVGeo will use that library.
Otherwise, if you’d like to use PVGeo on Windows outside of ParaView, you
must use a Python >=3.6 version and install VTK through
Install PVGeo to ParaView
Use the latest release of ParaView: PVGeo is compatible only with version 5.6.x (and higher) of ParaView. You can find the ParaView downloads page
To use the PVGeo library as plugins in ParaView, we must link the virtual environment that you installed PVGeo to ParaView’s Python environment and load a series of plugin files that wrap the PVGeo code base with ParaView’s Graphical User Interface.
Loading the Plugins
Now you must load the plugin files through ParaView’s Plugin Manager. Select
Tools -> Manage Plugins then select Load New on the bottom right of the
popup dialog. Navigate to the directory declared in
PV_PLUGIN_PATH and load
the plugins files. Note that we have included a file called
this will load all of PVGeo’s Plugins for convenience. If you wish only to load
specific suites, then load the desired suites by their individual plugin
files. Once the plugins are loaded, expand them in the plugin
manager and be sure to select Auto Load.
Not sure where your
PV_PLUGIN_PATH is located?
Re-run the install command with an additional argument
(pvgeoenv) $ python -m PVGeo install echo
Now test that the install worked by ensuring the various categories for the PVGeo filters are in the Filters menu such as PVGeo General Filters. Errors should not arise but if they do, post to the issues page and the errors will be immediately addressed.
Using Outside Modules in ParaView
If you installed PVGeo according to the instructions above, then any Python
package installed through
conda in that virtual environment will be accessible in ParaView. For some further reading on using virtual environments
with ParaView, see
this blog post
Use pip to update PVGeo in your python environment(s):
(pvgeoenv) $ pip install --upgrade PVGeo