Defaults on q_transform method result in large-memory objects

Created by: tjma12

If I use the TimeSeries.q_transform() method with the default settings, the resulting arrays are sometimes taking up several GB of memory. I was able to push this down by tuning the arguments, would it be possible to tweak the defaults so that the average user doesn't run into memory issues if they're making several Q-transforms?