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BugMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate
Description
The axis along which interpolation is performed is different for different methods in interpolate.
For example
df = pd.DataFrame(np.array([ [1, 2, 3], [5, np.nan, np.nan], [3, np.nan, 4], ])) print(df.interpolate(method='pad', axis='index')) print(df.interpolate(method='pad', axis='index', limit_area='inside')) returns
0 1 2 0 1.0 2.0 3.0 1 5.0 2.0 6.0 2 3.0 2.0 4.0 0 1 2 0 1.0 2.0 3.0 1 5.0 5.0 6.0 2 3.0 3.0 4.0 Clearly with limit_area set the interpolation happens on the wrong axis.
Not contributed before but happy to have a go at this one?
GiorgioBalestrieri
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BugMissing-datanp.nan, pd.NaT, pd.NA, dropna, isnull, interpolatenp.nan, pd.NaT, pd.NA, dropna, isnull, interpolate