Hello,
is it possible to introduce some kind of sampling to visualize large data sets? We have to show a time series with data points (3 to 5) in a 15 minute interval for about a year which can be zoomed in to a single day. So basically about 35000 data points with 3 to 5 values each.
I've seen some interpolation methods in the TimeSeries class and wanted to implement some kind of sampling myself without success. My idea was to keep the initial TimeSeries and to provide a specific one for the view with sampled data dependent on the current TimeRange. Using quantile helps to sample the data, but I'm losing the timestamp to create a new TimeSeries as it returns only the values.
In short: is there a way to implement some kind of sampling to allow visualizing large data sets?
Hello,
is it possible to introduce some kind of sampling to visualize large data sets? We have to show a time series with data points (3 to 5) in a 15 minute interval for about a year which can be zoomed in to a single day. So basically about 35000 data points with 3 to 5 values each.
I've seen some interpolation methods in the
TimeSeriesclass and wanted to implement some kind of sampling myself without success. My idea was to keep the initialTimeSeriesand to provide a specific one for the view with sampled data dependent on the currentTimeRange. Usingquantilehelps to sample the data, but I'm losing the timestamp to create a newTimeSeriesas it returns only the values.In short: is there a way to implement some kind of sampling to allow visualizing large data sets?