pd.NA not printed properly in REPL when DataFrame gets collapsed #55630Description
Pandas version checks
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I have checked that this issue has not already been reported.
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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
>>> df = pd.DataFrame({'foo': [pd.NA for _ in range(100)]})
>>> df # prints NaN instead of <NA>
foo
0 NaN
1 NaN
2 NaN
3 NaN
4 NaN
.. ...
95 NaN
96 NaN
97 NaN
98 NaN
99 NaN
[100 rows x 1 columns]
>>> df.iloc[:5] # prints <NA> as expected
foo
0 <NA>
1 <NA>
2 <NA>
3 <NA>
4 <NA>Issue Description
it seems that pd.NA does not get printed properly whenever the DataFrame is too large to display all rows (NaN is printed instead of <NA>). The whole thing works if you slice the DataFrame to reduce the number of printed rows.
PS: I have previously seen the "top part" being printed properly and only the "bottom part" being printed incorrectly (top and bottom refers to above and below the "...". I could not reproduce this behaviour however.
Expected Behavior
(I think?) It should print <NA> instead of NaN
Installed Versions
/.../.venv/lib/python3.10/site-packages/_distutils_hack/init.py:33: UserWarning: Setuptools is replacing distutils.
warnings.warn("Setuptools is replacing distutils.")
INSTALLED VERSIONS
commit : e86ed37
python : 3.10.11.final.0
python-bits : 64
OS : Darwin
OS-release : 23.0.0
Version : Darwin Kernel Version 23.0.0: Fri Sep 15 14:41:43 PDT 2023; root:xnu-10002.1.13~1/RELEASE_ARM64_T6000
machine : arm64
processor : arm
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.1.1
numpy : 1.24.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.2.2
pip : 23.2.1
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : None
pandas_datareader : None
bs4 : None
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.7.1
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : 2023.3
qtpy : None
pyqt5 : None