rank_change = f500["previous_rank"] - f500["rank"] rank_change_max = rank_change.max() rank_change_min = rank_change.min() print(rank_change.describe())
count 500.000000 mean -28.366000 std 108.602823 min -500.000000 25% -28.250000 50% -4.000000 75% 8.250000 max 226.000000 dtype: float64
I am trying to do a little extra for this mission out of curiosity.
Basically, I want to pull the max value of
rank_change and use it to pull back the company that had that rank change. I feel like I’m overthinking the syntax but still can’t figure it out.
I was trying to do this syntax originally:
But that did not work for me.
Any help would be appreciated!!