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In [2]: pd.Interval(0, 2, closed='left') * 2 Out[2]: Interval(0, 4, closed='right')
I see no reason why multiplying an Interval by a scalar should change its "direction".
Interval
Out[2]: Interval(0, 4, closed='left')
pd.show_versions()
commit: 9123f7d python: 3.5.3.final.0 python-bits: 64 OS: Linux OS-release: 4.9.0-6-amd64 machine: x86_64 processor: byteorder: little LC_ALL: None LANG: it_IT.UTF-8 LOCALE: it_IT.UTF-8
pandas: 0.24.0.dev0+457.g9123f7d0b.dirty pytest: 3.5.0 pip: 9.0.1 setuptools: 39.2.0 Cython: 0.28.4 numpy: 1.14.3 scipy: 0.19.0 pyarrow: None xarray: None IPython: 6.2.1 sphinx: 1.5.6 patsy: 0.5.0 dateutil: 2.7.3 pytz: 2018.4 blosc: None bottleneck: 1.2.0dev tables: 3.3.0 numexpr: 2.6.1 feather: 0.3.1 matplotlib: 2.2.2.post1634.dev0+ge8120cf6d openpyxl: 2.3.0 xlrd: 1.0.0 xlwt: 1.3.0 xlsxwriter: 0.9.6 lxml: 4.1.1 bs4: 4.5.3 html5lib: 0.999999999 sqlalchemy: 1.0.15 pymysql: None psycopg2: None jinja2: 2.10 s3fs: None fastparquet: None pandas_gbq: None pandas_datareader: 0.2.1 gcsfs: None
The text was updated successfully, but these errors were encountered:
Thanks, it looks like this happens for all arithmetic operations:
In [2]: iv = pd.Interval(-1, 2, closed='both') In [3]: iv + 2 Out[3]: Interval(1, 4, closed='right') In [4]: iv - 2 Out[4]: Interval(-3, 0, closed='right') In [5]: iv * 2 Out[5]: Interval(-2, 4, closed='right') In [6]: iv / 2 Out[6]: Interval(-0.5, 1.0, closed='right') In [7]: iv // 2 Out[7]: Interval(-1, 1, closed='right')
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Code Sample, a copy-pastable example if possible
Problem description
I see no reason why multiplying an
Interval
by a scalar should change its "direction".Expected Output
Output of
pd.show_versions()
INSTALLED VERSIONS
commit: 9123f7d
python: 3.5.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.9.0-6-amd64
machine: x86_64
processor:
byteorder: little
LC_ALL: None
LANG: it_IT.UTF-8
LOCALE: it_IT.UTF-8
pandas: 0.24.0.dev0+457.g9123f7d0b.dirty
pytest: 3.5.0
pip: 9.0.1
setuptools: 39.2.0
Cython: 0.28.4
numpy: 1.14.3
scipy: 0.19.0
pyarrow: None
xarray: None
IPython: 6.2.1
sphinx: 1.5.6
patsy: 0.5.0
dateutil: 2.7.3
pytz: 2018.4
blosc: None
bottleneck: 1.2.0dev
tables: 3.3.0
numexpr: 2.6.1
feather: 0.3.1
matplotlib: 2.2.2.post1634.dev0+ge8120cf6d
openpyxl: 2.3.0
xlrd: 1.0.0
xlwt: 1.3.0
xlsxwriter: 0.9.6
lxml: 4.1.1
bs4: 4.5.3
html5lib: 0.999999999
sqlalchemy: 1.0.15
pymysql: None
psycopg2: None
jinja2: 2.10
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: 0.2.1
gcsfs: None
The text was updated successfully, but these errors were encountered: