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BUG: DataFrame.loc[*, label] fails with IntervalIndex #19977

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jschendel opened this issue Mar 2, 2018 · 2 comments

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commented Mar 2, 2018

Code Sample, a copy-pastable example if possible

Setup:

In [2]: ii = pd.interval_range(0, 4)

In [3]: df = pd.DataFrame(np.arange(12).reshape(4, 3), index=ii, columns=list('ABC'))

In [4]: df
Out[4]:
        A   B   C
(0, 1]  0   1   2
(1, 2]  3   4   5
(2, 3]  6   7   8
(3, 4]  9  10  11

Scalar and Interval objects raise an AttributeError:

In [5]: df.loc[0.5, 'A']
---------------------------------------------------------------------------
AttributeError: 'pandas._libs.interval.IntervalTree' object has no attribute 'get_value'

In [6]: df.loc[pd.Interval(0, 1), 'A']
---------------------------------------------------------------------------
AttributeError: 'pandas._libs.interval.IntervalTree' object has no attribute 'get_value'

It works fine if column labels aren't passed, or if a list-like is passed:

In [7]: df.loc[0.5]
Out[7]:
A    0
B    1
C    2
Name: (0, 1], dtype: int32

In [8]: df.loc[pd.Interval(0, 1)]
Out[8]:
A    0
B    1
C    2
Name: (0, 1], dtype: int32

In [9]: df.loc[0.5, ['A']]
Out[9]:
A    0
Name: (0, 1], dtype: int32

In [10]: df.loc[pd.Interval(0, 1), ['B', 'C']]
Out[10]:
B    1
C    2
Name: (0, 1], dtype: int32

Problem description

Indexing with loc fails.

Expected Output

I'd expect loc to return the appropriate value.

Output of pd.show_versions()

INSTALLED VERSIONS

commit: 0bfb61b
python: 3.6.1.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 78 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None

pandas: 0.23.0.dev0+422.g0bfb61b
pytest: 3.1.2
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.25.2
numpy: 1.13.3
scipy: 1.0.0
pyarrow: 0.6.0
xarray: 0.9.6
IPython: 6.1.0
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.0
pytz: 2017.2
blosc: None
bottleneck: None
tables: 3.4.2
numexpr: 2.6.4
feather: 0.4.0
matplotlib: 2.0.2
openpyxl: 2.4.8
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 0.9.8
lxml: 3.8.0
bs4: None
html5lib: 0.999
sqlalchemy: 1.1.13
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: 0.1.0
pandas_gbq: None
pandas_datareader: None

@gfyoung

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commented Mar 8, 2018

Indexing with IntervalIndex is unusual, but this indeed should not crash. Patch and PR are welcome!

@jacksonjos

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commented Apr 14, 2018

Hi, I'm going to work on this issue this weekend.

@jreback jreback added this to the 0.24.0 milestone Sep 4, 2018

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