BUG: pd.NA values sometimes printed as NaN

[RomeshA]

Pandas version checks

• I have checked that this issue has not already been reported.

• I have confirmed this bug exists on the latest version of pandas.

• I have confirmed this bug exists on the main branch of pandas.

Reproducible Example

import pandas as pd
df = pd.DataFrame([pd.NA]*60)
df2 = pd.DataFrame([pd.NA]*61)
print(df)
print(df2)

Issue Description

When the dataframe has fewer rows than the setting display.max_rows, it is printed with the values showing as <NA>. However, if the dataframe has more rows, those same values are printed as NaN.

Expected Behavior

print(df2) should show

      0
0   <NA>
1   <NA>
2   <NA>
3   <NA>
4   <NA>
..  ...
56  <NA>
57  <NA>
58  <NA>
59  <NA>
60  <NA>

instead of

      0
0   NaN
1   NaN
2   NaN
3   NaN
4   NaN
..  ...
56  NaN
57  NaN
58  NaN
59  NaN
60  NaN

Installed Versions

INSTALLED VERSIONS ------------------ commit : 2a953cf python : 3.11.5.final.0 python-bits : 64 OS : Windows OS-release : 10 Version : 10.0.22621 machine : AMD64 processor : AMD64 Family 23 Model 113 Stepping 0, AuthenticAMD byteorder : little LC_ALL : None LANG : None LOCALE : English_Australia.1252

pandas : 2.1.3
numpy : 1.25.2
pytz : 2023.3.post1
dateutil : 2.8.2
setuptools : 68.0.0
pip : 23.2.1
Cython : None
pytest : 7.4.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : 3.1.8
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader : None
bs4 : None
bottleneck : None
dataframe-api-compat: None
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : 3.8.0
numba : 0.58.0
numexpr : None
odfpy : None
openpyxl : 3.1.2
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.11.3
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : 0.21.0
tzdata : 2023.3
qtpy : None
pyqt5 : None

[mroeschke]

Thanks for the report. Closing as a duplicate of #55630