[BUG] IntervalIndex.get_loc error for decreasing index #25860
Description
Code Sample, a copy-pastable example if possible
In [1]: import pandas as pd
In [2]: intv1 = pd.IntervalIndex.from_arrays([1, 3, 5], [2, 4, 6])
In [3]: intv1
Out[3]:
IntervalIndex([(1, 2], (3, 4], (5, 6]],
closed='right',
dtype='interval[int64]')
In [4]: intv1.get_loc(intv1[0])
Out[4]: 0
In [5]: intv2 = pd.IntervalIndex.from_arrays([4, 2, 1], [5, 3, 2])
In [6]: intv2
Out[6]:
IntervalIndex([(4, 5], (2, 3], (1, 2]],
closed='right',
dtype='interval[int64]')
In [7]: intv2.get_loc(intv2[0])
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
<ipython-input-7-00c58bb4fb1e> in <module>
----> 1 intv2.get_loc(intv2[0])
~/Code/pandas/pandas/core/indexes/interval.py in get_loc(self, key, method)
777 return slice(start, stop)
778 else:
--> 779 raise KeyError(original_key)
780
781 else:
KeyError: Interval(4, 5, closed='right')
Problem description
This IntervalIndex is non-overlapping_monotonic. IntervalIndex.get_loc runs in KeyError, even the key is its first element.
After start, stop = self._find_non_overlapping_monotonic_bounds(key), start and stop get the same value. Thereafter, no conditional handles this case.
Expected Outcome
In [5]: intv2 = pd.IntervalIndex.from_arrays([4, 2, 1], [5, 3, 2])
In [6]: intv2
Out[6]:
IntervalIndex([(4, 5], (2, 3], (1, 2]],
closed='right',
dtype='interval[int64]')
In [7]: intv2.get_loc(intv2[0])
Out[7]: 0
Output of pd.show_versions()
Details
INSTALLED VERSIONS
commit: 0198873
python: 3.7.1.final.0
python-bits: 64
OS: Linux
OS-release: 4.18.0-16-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_HK.UTF-8
LOCALE: en_HK.UTF-8
pandas: 0.25.0.dev0+308.g01988735f
pytest: 4.0.2
pip: 18.1
setuptools: 40.6.3
Cython: 0.29.2
numpy: 1.15.4
scipy: 1.1.0
pyarrow: None
xarray: None
IPython: 7.2.0
sphinx: 1.8.2
patsy: 0.5.1
dateutil: 2.7.5
pytz: 2018.7
blosc: None
bottleneck: 1.2.1
tables: 3.4.4
numexpr: 2.6.8
feather: None
matplotlib: 3.0.2
openpyxl: 2.5.12
xlrd: 1.2.0
xlwt: 1.3.0
xlsxwriter: 1.1.2
lxml.etree: 4.2.5
bs4: 4.6.3
html5lib: 1.0.1
sqlalchemy: 1.2.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
gcsfs: None