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?
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4