ENH: resample().interpolate() (original) (raw)

From #12449 (comment)

When downsampling on a Resampler object, you now have different fillna methods to fill the NaNs (or asfreq for a plain reindex like operation without NaN filling). I can possibly make sense to also have interpolate available to fill the missing values directly (instead of first calling mean/asfreq)

In [20]: df = pd.DataFrame(data=[1,3], index=[dt.timedelta(), dt.timedelta(minut
es=3)])

In [21]: df
Out[21]:
          0
00:00:00  1
00:03:00  3

In [22]: df.resample('1T').mean().interpolate('linear')
Out[22]:
                 0
00:00:00  1.000000
00:01:00  1.666667
00:02:00  2.333333
00:03:00  3.000000

Should df.resample('1T').interpolate('linear') give the same result?