Suppose that you have a transient domain, where you have some information at a high temporal frequency, but your time domain is relatively large. If you make a default plotter, the temporal range is too large to see the high frequency information. But, if you zoom in the time range, you are “fixed” to a particular time. Suppose you’d like to see both the higher frequency information, but also the whole time domain?
Python to the rescue. Using Python, we can dynamically adjust the time range of the graph at each timestep… and thus create a plotter with a relatively small time “window”, but that window moves with the current timestep, so that you can see the whole time domain.
You can find the Python Script here : http://pythonexchange.com/2013/05/20/dynamic-range-plotter/ . Also at this link, you can find a short video tutorial on how to use the tool in conjunction with your analysis and visualization.