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BUG: ser.loc[-1] and ser.loc[[-1]] with UInt64Index #41775

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jbrockmendel opened this issue Jun 2, 2021 · 1 comment · Fixed by #41777
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BUG: ser.loc[-1] and ser.loc[[-1]] with UInt64Index #41775

jbrockmendel opened this issue Jun 2, 2021 · 1 comment · Fixed by #41777
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Bug Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves
Milestone
1.3

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@jbrockmendel
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umax = np.iinfo(np.uint64).max
ser = pd.Series([0, 1], index=[umax-1, umax])

>>> ser.loc[-1]  # <- should raise KeyError
OverflowError: can't convert negative value to npy_uint64

>>> ser.loc[[-1]]  # <- should raise KeyError
18446744073709551615    1
dtype: int64
@jbrockmendel jbrockmendel added Bug Needs Triage Issue that has not been reviewed by a pandas team member labels Jun 2, 2021
This was referenced Jun 2, 2021
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@jreback jreback added this to the 1.3 milestone Jun 2, 2021
@jreback jreback added Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves and removed Needs Triage Issue that has not been reviewed by a pandas team member labels Jun 2, 2021
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jreback commented Jun 2, 2021

can you add a whatsnew, lgtm

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Bug Dtype Conversions Unexpected or buggy dtype conversions Indexing Related to indexing on series/frames, not to indexes themselves
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BUG: Series.loc[-1] with UInt64Index jbrockmendel/pandas
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