Python wrapper for the JHU Turbulence Database Cluster library. More information can be found at http://turbulence.pha.jhu.edu/.
If you have pip
, you can simply do this:
pip install pyJHTDB
If you're running unix (i.e. some MacOS or GNU/Linux variant), you will
probably need to have a sudo
in front of the pip
command.
If you don't have pip
on your system, it is quite easy to get it
following the instructions at
http://pip.readthedocs.org/en/latest/installing.html.
Cutout/local data functionality
If you want to use the cutout functionality, you will need to install
h5py
before you install pyJHTDB
, with:
pip install h5py
If you would like to use the local data functionality, you will need a full installation of the HDF5 libraries, see http://www.hdfgroup.org/HDF5/ for instructions.
ubuntu 14.04
Bare-bone installation:
sudo apt-get install build-essential gfortran
sudo apt-get install python-setuptools
sudo apt-get install python-dev
sudo easy_install numpy
python update_turblib.py
sudo python setup.py install
Note that doing this should, in principle, also install sympy
on
your system, since it's used by pyJHTDB
.
Happy fun installation:
sudo apt-get install build-essential gfortran
sudo apt-get install python-setuptools
sudo apt-get install python-dev
sudo apt-get install libpng-dev libfreetype6-dev
sudo apt-get install libhdf5-dev
sudo easy_install numpy
sudo easy_install h5py
sudo easy_install matplotlib
python update_turblib.py
sudo python setup.py install
I haven't tested the installation on any other system, but I think reasonable variations on the above should work for the minimal installation on all unix systems (i.e. for MacOS as well). If you manage to get it working (i.e. you import test_plain like the README says and you can run it), please let me know what steps you needed to take for your system, so I can append the instructions to this file.
On first contact with this library, we recommend that you first run
test_plain
. To be more specific:
from pyJHTDB import test_plain
test_plain()
The code that is executed can be found in "pyJHTDB/test.py", and it's the simplest example of how to access the turbulence database.
While our service is open to anyone, we would like to keep track of who is using the service, and how. To this end, we would like each user or site to obtain an authorization token from us: http://turbulence.pha.jhu.edu/help/authtoken.aspx For simple experimentation, the default token included in the package should be valid.
If you do obtain an authorization token, please write it in the file
auth_token.txt
, in the folder .config/JHTDB
from your home
folder. This folder should be generated automatically upon first
importing the package.
The .config/JHTDB
folder is also used to store data used by the
pyJHTDB.interpolator.spline_interpolator
class, including shared
libraries. If you do not plan on using the local interpolation
functionality, no data files will be generated.