The TQ library is written in Python 3. In the current, experimental phase is implemented as a module. The visualization of temporal quantities is currently supported by a procedure in R.
The names of routines, their parameters and organization can change in future versions of the TQ library !!!
Warning: The current version of TQ library is based on the matrix representation of networks. Because of this it can be (very) slow for larger networks (number of nodes larger than some thousands). We are planning to develop a graph based version of the TQ library in the near future.
For using TQ you will need to have Python 3 and R installed on your computer.
Assume that you have the TQ.py and your data in the directory wdir. For example
wdir = 'D:/work/Python/temporal/testTQ'
Entering the Python interactive mode (Idle) you get the access to TQ simply by
import os, sys, datetime os.chdir(wdir) from TQ import *