How can I do an interpolating reindex in pandas using datetime indices?

Question

I have a series with a datetime index, and what I\'d like is to interpolate this data using some other, arbitrary datetime index. Essentially what I want is how to make the

Answer 1

Try this:

from pandas import Series
import datetime

datetime_index = [datetime.datetime(2010, 1, 5), datetime.datetime(2010, 1, 10)]
s1 = Series([5, 15], [datetime.datetime(2010, 1, 5), datetime.datetime(2010, 1, 15)])
s2 = Series(None, datetime_index)
s3 = s1.combine_first(s2)
s3.interpolate()

Based on the comments, the result interpolated to the target index would be:

goal_series  = s3.interpolate().reindex(datetime_index)

assert((goal_series == Series([5, 10], datetime_index)).all())