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Creating an empty Pandas DataFrame, and then filling it If new row values depend on previous row values as in the OP, then depending on the number of columns, it might be better to loop over a pre-initialized dataframe of zeros or grow a Python dictionary in a loop and construct a dataframe after (if there are more than 500 columns, it's probably better to loop over the dataframe)