New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

BUG: IntervalIndex.copy always returns right closed Intervals #18339

Closed
jschendel opened this Issue Nov 17, 2017 · 0 comments

Comments

Projects
None yet
2 participants
@jschendel
Member

jschendel commented Nov 17, 2017

Code Sample, a copy-pastable example if possible

In [2]: idx = pd.IntervalIndex.from_tuples([(3, 14), (15, 92)], closed='both')
   ...: idx
   ...:
Out[2]:
IntervalIndex([[3, 14], [15, 92]]
              closed='both',
              dtype='interval[int64]')

In [3]: idx.copy()
Out[3]:
IntervalIndex([(3, 14], (15, 92]]
              closed='right',
              dtype='interval[int64]'

In [4]: idx.copy(deep=True)
Out[4]:
IntervalIndex([(3, 14], (15, 92]]
              closed='right',
              dtype='interval[int64]')

Problem description

Copying an IntervalIndex changes how the intervals it contains are closed.

Expected Output

I'd expect the resulting IntervalIndex to have closed='both':

IntervalIndex([[3, 14], [15, 92]]
              closed='both',
              dtype='interval[int64]')

Output of pd.show_versions()

INSTALLED VERSIONS

commit: None
python: 3.6.3.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: 0.21.0
pytest: 3.1.2
pip: 9.0.1
setuptools: 27.2.0
Cython: 0.26
numpy: 1.13.3
scipy: 0.19.1
pyarrow: None
xarray: None
IPython: 6.1.0
sphinx: 1.5.6
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.2
blosc: None
bottleneck: 1.2.1
tables: 3.2.2
numexpr: 2.6.4
feather: None
matplotlib: 2.0.2
openpyxl: 2.4.7
xlrd: 1.0.0
xlwt: 1.2.0
xlsxwriter: 0.9.6
lxml: 3.7.3
bs4: 4.6.0
html5lib: 0.999
sqlalchemy: 1.1.9
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment