Description
-
I have checked that this issue has not already been reported.
-
I have confirmed this bug exists on the latest version of pandas.
-
(optional) I have confirmed this bug exists on the master branch of pandas.
Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
import pandas as pd
print("Test 1")
a = pd.Series([1,2,3,4], index=[1,1,2,2], name=("a", "a"))
a.index.name = ("b", "b")
print(a)
print(a.index)
print(a.groupby(level=0).last())
print("Test 2")
a = pd.Series([1,2,3,4], index=[2,3,4,5], name=("a", "a"))
b = pd.Series([1,1,2,2], index=[2,3,4,5], name=("b", "b"))
a.index = b.reindex(a.index)
print(a)
print(a.index)
print(a.groupby(level=0).last())Problem description
In pandas 1.1.2 this works fine. While it crashes in pandas 1.1.4. The problem seems related to the tuple index names. The output is:
Test 1
(b, b)
1 1
1 2
2 3
2 4
Name: (a, a), dtype: int64
Int64Index([1, 1, 2, 2], dtype='int64', name=('b', 'b'))
Traceback (most recent call last):
File "testcase.py", line 8, in <module>
print(a.groupby(level=0).last())
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/series.py", line 1735, in groupby
return SeriesGroupBy(
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/groupby/groupby.py", line 525, in __init__
grouper, exclusions, obj = get_grouper(
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/groupby/grouper.py", line 773, in get_grouper
if is_in_obj(gpr): # df.groupby(df['name'])
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/groupby/grouper.py", line 765, in is_in_obj
return gpr is obj[gpr.name]
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/series.py", line 888, in __getitem__
result = self._get_value(key)
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/series.py", line 989, in _get_value
loc = self.index.get_loc(label)
File "/home/burk/.local/share/virtualenvs/timeseries-Gj3kjmJv/lib/python3.8/site-packages/pandas/core/indexes/base.py", line 2895, in get_loc
return self._engine.get_loc(casted_key)
File "pandas/_libs/index.pyx", line 70, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 96, in pandas._libs.index.IndexEngine.get_loc
File "pandas/_libs/index.pyx", line 118, in pandas._libs.index.IndexEngine._get_loc_duplicates
TypeError: only integer scalar arrays can be converted to a scalar index
Expected Output
This is the output in 1.1.2:
Test 1
(b, b)
1 1
1 2
2 3
2 4
Name: (a, a), dtype: int64
Int64Index([1, 1, 2, 2], dtype='int64', name=('b', 'b'))
(b, b)
1 2
2 4
Name: (a, a), dtype: int64
Test 2
(b, b)
1 1
1 2
2 3
2 4
Name: (a, a), dtype: int64
Int64Index([1, 1, 2, 2], dtype='int64', name=('b', 'b'))
(b, b)
1 2
2 4
Name: (a, a), dtype: int64
Output of pd.show_versions()
INSTALLED VERSIONS
commit : 67a3d42
python : 3.8.6.final.0
python-bits : 64
OS : Linux
OS-release : 5.8.0-26-generic
Version : #27-Ubuntu SMP Wed Oct 21 22:29:16 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.1.4
numpy : 1.19.4
pytz : 2020.4
dateutil : 2.8.1
pip : 20.1.1
setuptools : 44.0.0
Cython : 0.29.17
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : 0.4.1
xlsxwriter : None
lxml.etree : 4.6.1
html5lib : 1.0.1
pymysql : None
psycopg2 : 2.8.6 (dt dec pq3 ext lo64)
jinja2 : None
IPython : 7.19.0
pandas_datareader: 0.9.0
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.3.2
numexpr : None
odfpy : None
openpyxl : 3.0.5
pandas_gbq : None
pyarrow : 2.0.0
pytables : None
pyxlsb : None
s3fs : None
scipy : 1.4.1
sqlalchemy : 1.3.20
tables : None
tabulate : 0.8.7
xarray : None
xlrd : None
xlwt : None
numba : 0.51.2