Pandas version checks
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[X] I have checked that this issue has not already been reported.
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[X] 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
str(pd.MultiIndex.from_tuples([('c' * 62,)]))
Issue Description
This code will return the following error when the length is 62 or more:
File "pandas/core/indexes/base.py", line 1233, in __repr__
data = self._format_data()
File "pandas/core/indexes/base.py", line 1275, in _format_data
return format_object_summary(
File "pandas/io/formats/printing.py", line 448, in format_object_summary
summary, line = _extend_line(summary, line, tail[-1], display_width - 2, space2)
File "pandas/io/formats/printing.py", line 360, in _extend_line
if adj.len(line.rstrip()) + adj.len(value.rstrip()) >= display_width:
AttributeError: 'tuple' object has no attribute 'rstrip'
Expected Behavior
The code shouldn't fail
Installed Versions
INSTALLED VERSIONS
------------------
commit : 37ea63d540fd27274cad6585082c91b1283f963d
python : 3.10.7.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-147-generic
Version : #164~18.04.1-Ubuntu SMP Tue Apr 4 00:20:20 UTC 2023
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.0.1
numpy : 1.24.3
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 63.2.0
pip : 23.0.1
Cython : None
pytest : 7.3.1
hypothesis : 6.72.1
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : 2.9.6
jinja2 : 3.1.2
IPython : None
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : 2.8.4
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : 2.0.10
tables : None
tabulate : 0.9.0
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None
Comment From: asishm-wk
likely caused by https://github.com/pandas-dev/pandas/pull/49740
where the
head = [_pprint_seq(x, max_seq_items=max_items) for x in head]
tail = [_pprint_seq(x, max_seq_items=max_items) for x in tail]
block was moved from outside the for loop to the inside
Comment From: Charlie-XIAO
take