The client may start storing data in csv files instead of tdms files, an overloaded import method could very easily be made to convert a csv to a dataframe provided the formatting of column and row headers is the roughly the same. Part of this process needs to be making sure the DAQ will be formatting things in a similar manner to how pandas converts tdms files into dataframes so the rest of the downstream code does not break.
The client may start storing data in csv files instead of tdms files, an overloaded import method could very easily be made to convert a csv to a dataframe provided the formatting of column and row headers is the roughly the same. Part of this process needs to be making sure the DAQ will be formatting things in a similar manner to how pandas converts tdms files into dataframes so the rest of the downstream code does not break.