If new row values rely upon former row values as within the OP, then depending upon the number of columns, it'd be improved to loop over a pre-initialized dataframe of zeros or grow a Python dictionary in a loop and assemble a dataframe just after (if there are actually in excess of 500 columns, it's almost certainly far better to loop over the dat
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If new row values depend upon past row values as within the OP, then depending on the amount of columns, it'd be greater to loop above a pre-initialized dataframe of zeros or develop a Python dictionary inside a loop and assemble a dataframe immediately after (if you can find greater than five hundred columns, It can be most likely improved to loop
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