PR #10691 had a bug in computing the NaN mask in certain cases.
Specifically, when a NaN occurs within limit of the beginning of the series and limit_direction is set to 'both', the interpolation code will erroneously interpolate these NaNs rather than masking them off.
From the PR:
In [43]: ser = pd.Series([np.nan, np.nan, 5, np.nan, np.nan, np.nan, 13])
In [44]: ser.interpolate(limit=1, limit_direction='both')
Out[44]:
0 5
1 5
2 5
3 7
4 NaN
5 11
6 13
dtype: float64
This should actually give:
Out[44]:
0 NaN
1 5
2 5
3 7
4 NaN
5 11
6 13
dtype: float64
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