What you have is a vector, not an array. You can use rollapply function from zoo package to get what you need. > x <- c(1, 2, 3, 10, 20, 30) > #library(zoo) > rollapply(x, 3, sum) [1] 6 15 33 60 Take a look at ?rollapply for further details on what rollapply does and … Read more
For the Googlers who come upon this old question: Regarding @kekert’s comment on @Garrett’s answer to use the new df.groupby(‘id’)[‘x’].rolling(2).mean() rather than the now-deprecated df.groupby(‘id’)[‘x’].apply(pd.rolling_mean, 2, min_periods=1) curiously, it seems that the new .rolling().mean() approach returns a multi-indexed series, indexed by the group_by column first and then the index. Whereas, the old approach would simply … Read more
What you have is a vector, not an array. You can use rollapply function from zoo package to get what you need. > x <- c(1, 2, 3, 10, 20, 30) > #library(zoo) > rollapply(x, 3, sum) [1] 6 15 33 60 Take a look at ?rollapply for further details on what rollapply does and … Read more