Rolling difference in Pandas

Question

Does anyone know an efficient function/method such as pandas.rolling_mean, that would calculate the rolling difference of an array

This is my closest so

Answer 1

If you got KeyError: 0, try with iloc:

import pandas

x = pandas.DataFrame({
    'x_1': [0, 1, 2, 3, 0, 1, 2, 500, ],},
    index=[0, 1, 2, 3, 4, 5, 6, 7])

x['x_1'].rolling(window=2).apply(lambda x: x.iloc[1] - x.iloc[0])