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Description
Pandas version checks
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I have confirmed this bug exists on the latest version of pandas.
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I have confirmed this bug exists on the main branch of pandas.
Reproducible Example
import pandas as pd
pd.Series([pd.Interval(1, 2, closed='left'), pd.Interval(2, 3, closed='left')]).shift(1)
Issue Description
This line in shift
creates an empty IntervalArray
without specifying which side the intervals are closed on. When that array and the one being shifted get concatenated, the following exception is raised:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/generic.py", line 11228, in shift
new_data = self._mgr.shift(periods=periods, fill_value=fill_value)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/base.py", line 312, in shift
return self.apply_with_block("shift", periods=periods, fill_value=fill_value)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/managers.py", line 363, in apply
applied = getattr(b, f)(**kwargs)
^^^^^^^^^^^^^^^^^^^^^^^
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/internals/blocks.py", line 2020, in shift
new_values = self.values.T.shift(periods=periods, fill_value=fill_value).T
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/arrays/interval.py", line 1097, in shift
return self._concat_same_type([a, b])
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/wmorrison/.local/share/pyenv/versions/3.11.5/envs/3.11.5-enspired@aws_lambda/lib/python3.11/site-packages/pandas/core/arrays/interval.py", line 1045, in _concat_same_type
raise ValueError("Intervals must all be closed on the same side.")
ValueError: Intervals must all be closed on the same side.
Expected Behavior
The following pd.Series[Interval]
should be returned, closed on the same side as the original Series
0 NaN
1 [1.0, 2.0)
dtype: interval
Installed Versions
INSTALLED VERSIONS
commit : 0691c5c
python : 3.11.5
python-bits : 64
OS : Linux
OS-release : 6.8.0-48-generic
Version : #48~22.04.1-Ubuntu SMP PREEMPT_DYNAMIC Mon Oct 7 11:24:13 UTC 2
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.3
numpy : 2.1.3
pytz : 2024.2
dateutil : 2.9.0.post0
pip : 24.3.1
Cython : None
sphinx : None
IPython : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.12.3
blosc : None
bottleneck : None
dataframe-api-compat : None
fastparquet : None
fsspec : None
html5lib : None
hypothesis : None
gcsfs : None
jinja2 : 3.1.4
lxml.etree : None
matplotlib : 3.9.2
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.5
pandas_gbq : None
psycopg2 : None
pymysql : None
pyarrow : None
pyreadstat : None
pytest : 8.3.3
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.14.1
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlsxwriter : None
zstandard : None
tzdata : 2024.2
qtpy : None
pyqt5 : None