Paarangat IO streamline request
Aim: To reduce redundancy in Tony code by streamlining IO from CMM to offline processing.
This was achieved by attaching labels to measured points in the CMM output text files. The CMM code does this automatically, given certain configs about the part measured. The labels were then used in Pandas dataframes to do groupby operations (mean, max etc.), and make output consistent with ITK using pd.DataFrame.to_string and pd.DataFrame.to_json. This reduced lines of code significantly at each IO step.
To Do still:
Put in calculational nitty-gritties like subtracting powerboard and hybrid thicknesses from the glue heights.