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We are analyzing https://github.com/pandas-dev/pandas/issues/49581.

Title:
BUG: Incorrect IntervalIndex.is_overlapping Β· Issue #49581 Β· pandas-dev/pandas
Description:
Pandas version checks I have checked that this issue has not already been reported. I have confirmed this bug exists on the latest version of pandas. I have confirmed this bug exists on the main branch of pandas. Reproducible Example imp...
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17 years and 8 months (reg. 2007-10-09).

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Keywords {πŸ”}

bug, issue, pandas, hikipeko, incorrect, overlapping, false, idx, pdintervalindexfromarraysa, printidxisoverlapping, prints, intervals, commented, main, true, slowmo, sign, intervalindexisoverlapping, version, return, current, open, pull, requests, projects, closed, member, doesnt, empty, intervalindex, jbrockmendel, dataframe, longer, navigation, actions, security, description, opened, confirmed, exists, branch, import, region, returns, behavior, correct, triage, reviewed, team, contributor,

Topics {βœ’οΈ}

hikipeko edits contributor small issue worthy personal information bug hikipeko mentioned returning incorrect values single empty interval is_overlapping returned false type projects slowmo24 mentioned overlapping index import pandas projects milestone return false correct behavior github triage issue similar issue issue persists latest version empty set bug exists bug report return true open overlapping intervals pandas idx_3 = pd idx_2 = pd similar pd element removed longer worked length intervals timedelta + timedelta longer working dropping element looked deeper milestone relationships main branch overlapping region closed idx_1 = pd returns incorrectly bins=idx_1 fact fixed current main incorrect intervalindex issue version 1 bug left

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  • When you say "no longer working" do you mean the bug is fixed on main?

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      headline:BUG: Incorrect IntervalIndex.is_overlapping
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd a = [ 10, 15, 20, 25, 30, 35, 40, 45, 45, 50, 55, 60, 65, 70, 75, 80, 85 ] b = [ 15, 20, 25, 30, 35, 40, 45, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90 ] # ^^^^^^^^^^ (overlapping region) idx_1 = pd.IntervalIndex.from_arrays(a, b) print(idx_1.is_overlapping) # prints True idx_2 = pd.IntervalIndex.from_arrays(a[1:], b[1:]) print(idx_2.is_overlapping) # prints False (INCORRECT) idx_3 = pd.IntervalIndex.from_arrays(a[:-1], b[:-1]) print(idx_3.is_overlapping) # prints False (INCORRECT) ``` ### Issue Description `IntervalIndex.is_overlapping` is returning incorrect values. Notice how for the full `a`/`b` arrays it returns that there are overlapping intervals (they are in the middle), but if you remove the first/last pair (`[1:], [-1:]`), it returns incorrectly that there are no overlapping intervals. ### Expected Behavior Correct value ### Installed Versions <details> commit : 91111fd99898d9dcaa6bf6bedb662db4108da6e6 python : 3.10.8.final.0 python-bits : 64 OS : Windows OS-release : 10 pandas : 1.5.1 numpy : 1.23.4 pytz : 2022.5 dateutil : 2.8.2 setuptools : 65.5.0 pip : 22.3 Cython : 0.29.32 pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.9.1 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.5.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : 1.0.9 fastparquet : 0.8.3 fsspec : 2022.10.0 gcsfs : None matplotlib : 3.6.1 numba : 0.56.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.9.3 snappy : sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : 0.19.0 tzdata : 2022.5 </details>
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      headline:BUG: Incorrect IntervalIndex.is_overlapping
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [ ] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd a = [ 10, 15, 20, 25, 30, 35, 40, 45, 45, 50, 55, 60, 65, 70, 75, 80, 85 ] b = [ 15, 20, 25, 30, 35, 40, 45, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90 ] # ^^^^^^^^^^ (overlapping region) idx_1 = pd.IntervalIndex.from_arrays(a, b) print(idx_1.is_overlapping) # prints True idx_2 = pd.IntervalIndex.from_arrays(a[1:], b[1:]) print(idx_2.is_overlapping) # prints False (INCORRECT) idx_3 = pd.IntervalIndex.from_arrays(a[:-1], b[:-1]) print(idx_3.is_overlapping) # prints False (INCORRECT) ``` ### Issue Description `IntervalIndex.is_overlapping` is returning incorrect values. Notice how for the full `a`/`b` arrays it returns that there are overlapping intervals (they are in the middle), but if you remove the first/last pair (`[1:], [-1:]`), it returns incorrectly that there are no overlapping intervals. ### Expected Behavior Correct value ### Installed Versions <details> commit : 91111fd99898d9dcaa6bf6bedb662db4108da6e6 python : 3.10.8.final.0 python-bits : 64 OS : Windows OS-release : 10 pandas : 1.5.1 numpy : 1.23.4 pytz : 2022.5 dateutil : 2.8.2 setuptools : 65.5.0 pip : 22.3 Cython : 0.29.32 pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : None lxml.etree : 4.9.1 html5lib : None pymysql : None psycopg2 : None jinja2 : 3.1.2 IPython : 8.5.0 pandas_datareader: None bs4 : 4.11.1 bottleneck : None brotli : 1.0.9 fastparquet : 0.8.3 fsspec : 2022.10.0 gcsfs : None matplotlib : 3.6.1 numba : 0.56.3 numexpr : None odfpy : None openpyxl : None pandas_gbq : None pyarrow : 10.0.0 pyreadstat : None pyxlsb : None s3fs : None scipy : 1.9.3 snappy : sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None zstandard : 0.19.0 tzdata : 2022.5 </details>
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