Search the Community

Hello there: I have a big project, pretty much already coded in Labview, designed to perform monte-carlo analysis on a set of applications that use data from time synchronized measurements across the electrical power system. The project is designed to be open source and distributable using both built .exe and vipm. Therefore I include ONLY libraries that either come with LV or are OpenG (no third party tools that need to be purchased, and no TestStand). A part I have yet to code is the monte-carlo engine which needs to be end-user programmable. I have an idea for creating my own set of commands and a labview interpreter, but before I do that, I'm thinking that many of my end users will already have some python ability. So I'm trying to decide to use labPython. The problem is that I have not found any documentation or examples for it yet. What I need to do, is have the python script, written by the user, access controls (mainly clusters or 2-D tables), overwrite the LV control values, then start a test run. This is essentially test automation. Python would be nice because then the user can use local variables to calculate the values to be written into the controls. So I'm looking for your advice: Should I give LabPython a try? If so can someone: 1) point me to some documentation 2) point me to some example code (especially how to access controls). 3) tell me where to go when I need to ask for help (this forum or another) Thank you so much.