I still do not get why this leads to some 0.5 values when in my plot there should only be 0 and 1.
Smart sub-sampling (lowpass filter before, aka averaging on a window)
I see. But I just realized: Subsampling means you just show every nth datapoint, right? I still do not get why this leads to some 0.5 values when in my plot there should only be 0 and 1.
Hmm, it might be sub-sampling on large scalar plots (so that we do not "kill" the ui), but I remember that it only happens above 50k samples. (when you zoom in, do you still get the 0.5 values?)
So currently there is a limit (from the elasticsearch) of about 10k (anything above the is subsampled)
In the new version we are adding a "maximize" button, then in the full screen you will have the raw data including all ???k samples. sounds good?
Let me check what's the subsampling threshold