Is there a functionallity for splitting a pivoted m * n dataframe into chunks of k * l sized subsets that can be handled separately?
You can select columns by index and rows by slice. Witch two nested loops that can efficiently give the chunks you want.
Thanks! I might have a stab at it. Sound almost like what I did by more python:ish: for i in range(...): for j in range(...): row_start = max(start - padding, 0) row_end = min((end + padding, last) same for columns...