Python wrapper for the Johns Hopkins turbulence database library
Project description
Python wrapper for the JHU Turbulence Database Cluster library. More information can be found at http://turbulence.pha.jhu.edu/.
Installing pypi version
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.
Installing from source
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 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 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.
Basic usage
Although this particular Python wrapper is still a work in progress, it is mature enough to be used in production work.
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.
Configuration
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.html 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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file pyJHTDB-20141116.tar.gz
.
File metadata
- Download URL: pyJHTDB-20141116.tar.gz
- Upload date:
- Size: 278.6 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | d4ed5cc1dffcbb1a80c7362b114978ac5d0c62576f29ece5c87ba957be5f6e22 |
|
MD5 | b2c595943d02aa3fea6472a5d1d9fa14 |
|
BLAKE2b-256 | c3c3c43b27da950f13487d365005a74115c1e8a4f59a6ac662fe4e991e4ba9a1 |