No, I do not have visuals yet, but while still struggling to figure out how to get tuples loaded as vectors in a pandas data frame, I see how it will work when complete...

1. Start with updated draw files

2. Run the python program and save the output

3. Load the visualization graph with the last 2 numbers (n-1 and n), which will give the lead in vector. This will also fan out the 10 possible vectors (of 19) that exist for the next draw 

4. Find the lead in vector for that game position in the script output and look at the distribution frequency list. Find the first vector in this list that appears on the 10 projections from the visualization app.

5. Project that vector from the last drawn number... that js the pick.

No longer as simple as autofilling a spreadsheet or getting a pick directly from a script... but the old ways were also not producing reliable results, so trying anything at this point.