I have a numpy array of shape (1200, 500, 1) and I want to resample it to the shape (1200, 50, 1) using a mean function.

What is a good and fast way to do this? Thanks

CodePudding user response：

If you need to apply the mean to every consecutive 10 items, you can do:

np.mean(arr.reshape(1200, 50, 10, 1), axis=2)

to split the items into buckets of 10 by reshape and then apply mean to the third axis.