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Pandas. How to sort a DataFrame without changing index?

Output: df2.sort_values([‘B’, ‘A’], ascending=[False, True]) gives: The column with indexes is now shuffled in new order, but I want it to be the same even after sorting. Parameter ignore_index just sets indexes from 0 to n-1. And the sort_index function isn’t helpful too, becaus…

Compute cummulative sum until a zero appears

I have a (long) list in which zeros and ones appear at random: list1 = [1, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1] 1.I want to get another list the sum of the list up to where 0 appears where 0 appears, retain 0 in the list list2 = [3, 0, 2, 0, 1, 0, 3]

Getting same result for different CSV files

DESCRIPTION: I have a piece of Python code, and this code takes a CSV file as input and produces a .player file as output. I’ve four different CSV files, hence, after running the code four times (taking each CSV file one by one), I’ve four .player files. REPOSITORY: https://github.com/divkrsh/grid…