Closed xasetl closed 6 years ago
I'd argue that the global mean of the time series is prone to outliers and there are cases where imputing with it can create an additional extreme outlier. How about a simple interpolation using the two neighboring points or using pd.rolling_mean?
pd.rolling_mean
I would also prefer rolling mean or linear interpolation
I'd argue that the global mean of the time series is prone to outliers and there are cases where imputing with it can create an additional extreme outlier. How about a simple interpolation using the two neighboring points or using
pd.rolling_mean
?