Pandas Time Series Resampling and Interpolation
Jump to navigation
Jump to search
Internal
Overview
This applies to time series.
To interpolate, resample at the desired frequency with resample()
, and then call interpolate()
. Instead of interpolation, the new elements can be forward filled with pad()
or back filled with bfill()
, or filled with mean() values, but in that case we get NaNs.
The object must have a datetime-like index (DatetimeIndex
, PeriodIndex
, TimedeltaIndex
) or the caller must pass the label of a date time-like series/index.
s2 = s.resample("1D").interpolate()
s2 = s.resample("2H").interpolate()