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 again. 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.
Here is a short example of what such a “dyanmic range plotter” would look like:
Here is a short tutorial on using this python tool:
And here is the tool itself: