Python class for efficient handling of supply and use tables (SUTs)
Created on Mon Jun 30 17:21:28 2014
@author: stefan pauliuk and Guillaume Majeau-Bettez, NTNU Trondheim, Norway
with contributions from
Konstantin Stadler, NTNU, Trondheim, Norway
Chris Mutel, PSI, Villingen, CH
Dependencies:
numpy >= 1.9
scipy >= 0.14
Tutorial:
http://nbviewer.ipython.org/github/stefanpauliuk/pySUT/blob/master/Doc/pySUT_Documentation.ipynb
Documenation of all methods and functions:
http://htmlpreview.github.com/?https://github.com/stefanpauliuk/pySUT/blob/master/Doc/pysut.html
Below, a quick installation guide and a link to the tutorial are provided:
a) Installation from the web repository:
This is the easiest way of installing pySUT. Github hosts an installation package for pySUT, which can be downloaded directly from the command line using pip:
pip install pySUT
b) Installation as package:
Pull package via git pull or download as .zip file and unpack. Choose a convenient location (Here: 'C:\MyPythonPackages'). Then open a console, change to the directory ../pySUT-master/, and install the package from the command line:
python setup.py install
This makes the package available to Python. At any other place in a system with the same python installation, pydsm is now ready to be imported simply by
import pysut
This setup also allows us to run the unit test:
import unittest
import pysut
import pysut.tests
unittest.main(pysut.tests, verbosity=2)
Or, to run a specific test
unittest.main(pydsm.tests.test_allocations_constructs, verbosity=2)
c) Manual installation, by modifying the python path
Pull package via git pull or download as .zip file and unpack. Choose a convenient location (Here: 'C:\MyPythonPackages\'). Then include in your code the following lines
> import sys
sys.path.append('C:\MyPythonPackages\pySUT-master\pydsm\')
from pysut import SupplyUseTable