import pandas as pd ii = pd.IntervalIndex.from_breaks(range(4, 15)) ser = pd.Series(range(10), index=ii) ser.loc[1:3] # <- returns empty Series ser.loc[1:3] = 19 # <- raises TypeError ser2 = pd.Series(range(5), index=ii[::2]) ser2.loc[5:7] = 21 # <- sets locations matching ser2.loc[5:7] ser2.loc[6:8] = 22 # <- raises TypeError ser2.loc[7:9] = 23 # <- sets locations matching ser2.loc[7:9]
We have special-casing for IntervalDtype in Index._convert_slice_indexer that causes the loc.__setitem__ to diverge from the loc.__getitem__ behavior in ways that I find surprising (and that are not tested or documented)
I think the simplest thing to do would be to change the raising cases to operate on the same locations that loc.__getitem__ identifies.
I would also be OK with deprecating some of IntervalIndex's partial-indexing behavior; supporting it complicates the indexing code a decent amount.
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