Currently, the computation of average of two time series (i.e. two runs) leads to reduction of run length to shorter one (due to technical implementation using pandas.DataFrame). This should be improved such for that EACH time point from union of time points of both time series a average value is computed, preferably from actual value (for originating time series containing the time point) and interpolated value (from the other time series NOT containing the time point).
Currently, the computation of average of two time series (i.e. two runs) leads to reduction of run length to shorter one (due to technical implementation using
pandas.DataFrame
). This should be improved such for that EACH time point from union of time points of both time series a average value is computed, preferably from actual value (for originating time series containing the time point) and interpolated value (from the other time series NOT containing the time point).