BUG: pandas df.to_markdown() with period at end of field - is not displayed.

[dwgillies]

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

>>> df = pd.DataFrame({'a': ['1234.']})
>>> df
       a
0  1234.
>>> df.to_markdown()
'|    |    a |\n|---:|-----:|\n|  0 | 1234 |'

^^ notice the 1234 above is lacking the '.' at the end of the string.  When I print the dataframe 
cell, the period appears:

>>> print(df['a'][0])
1234.

Issue Description

When printing a string field that ends in a period, to_markdown() fails to print the period at the end of the string.

Expected Behavior

>>> df.to_markdown()
'|    |    a |\n|---:|-----:|\n|  0 | 1234. |'

Installed Versions

>>> pd.show_versions()
/usr/lib/python3.9/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.
  warnings.warn("Setuptools is replacing distutils.")

INSTALLED VERSIONS
------------------
commit                : fd3f57170aa1af588ba877e8e28c158a20a4886d
python                : 3.9.16.final.0
python-bits           : 64
OS                    : CYGWIN_NT-10.0-19045
OS-release            : 3.5.0-1.x86_64
Version               : 2024-02-01 11:02 UTC
machine               : x86_64
processor             :
byteorder             : little
LC_ALL                : None
LANG                  : None
LOCALE                : en_US.UTF-8

pandas                : 2.2.0
numpy                 : 1.26.4
pytz                  : 2023.3
dateutil              : 2.8.2
setuptools            : 69.0.2
pip                   : 24.0
Cython                : 0.29.33
pytest                : None
hypothesis            : None
sphinx                : 4.4.0
blosc                 : None
feather               : None
xlsxwriter            : None
lxml.etree            : None
html5lib              : None
pymysql               : None
psycopg2              : None
jinja2                : 3.1.2
IPython               : None
pandas_datareader     : None
adbc-driver-postgresql: None
adbc-driver-sqlite    : None
bs4                   : None
bottleneck            : None
dataframe-api-compat  : None
fastparquet           : None
fsspec                : None
gcsfs                 : None
matplotlib            : None
numba                 : None
numexpr               : None
odfpy                 : None
openpyxl              : None
pandas_gbq            : None
pyarrow               : None
pyreadstat            : None
python-calamine       : None
pyxlsb                : None
s3fs                  : None
scipy                 : None
sqlalchemy            : None
tables                : None
tabulate              : 0.9.0
xarray                : None
xlrd                  : None
zstandard             : None
tzdata                : 2024.1
qtpy                  : None
pyqt5                 : None

DEVELOPMENT VERSIONS

ALSO the bug appears on the latest development versions:

>>> pd.show_versions()
/usr/lib/python3.9/site-packages/_distutils_hack/__init__.py:33: UserWarning: Setuptools is replacing distutils.
  warnings.warn("Setuptools is replacing distutils.")

commit                : d17723c6d447d37c0cb753a517df74705806f4a2
python                : 3.9.16.final.0
python-bits           : 64
OS                    : CYGWIN_NT-10.0-19045
OS-release            : 3.5.0-1.x86_64
Version               : 2024-02-01 11:02 UTC
machine               : x86_64
processor             :
byteorder             : little
LC_ALL                : None
LANG                  : None
LOCALE                : en_US.UTF-8

pandas                : 3.0.0.dev0+578.gd17723c6d4
numpy                 : 1.26.4
pytz                  : 2023.3
dateutil              : 2.8.2
setuptools            : 69.0.2
pip                   : 24.0
Cython                : 0.29.33
pytest                : None
hypothesis            : None
sphinx                : 4.4.0
blosc                 : None
feather               : None
xlsxwriter            : None
lxml.etree            : None
html5lib              : None
pymysql               : None
psycopg2              : None
jinja2                : 3.1.2
IPython               : None
pandas_datareader     : None
adbc-driver-postgresql: None
adbc-driver-sqlite    : None
bs4                   : None
bottleneck            : None
fastparquet           : None
fsspec                : None
gcsfs                 : None
matplotlib            : None
numba                 : None
numexpr               : None
odfpy                 : None
openpyxl              : None
pyarrow               : None
pyreadstat            : None
python-calamine       : None
pyxlsb                : None
s3fs                  : None
scipy                 : None
sqlalchemy            : None
tables                : None
tabulate              : 0.9.0
xarray                : None
xlrd                  : None
zstandard             : None
tzdata                : 2024.1
qtpy                  : None
pyqt5                 : None

[Aloqeely]

Explanation from python-tabulate/README.md:

For tabulate, anything which can be parsed as a number is a number. Even numbers represented as strings are aligned properly. This feature comes in handy when reading a mixed table of text and numbers from a file
To disable this feature use disable_numparse=True.

So to achieve your desired output:

>>> df.to_markdown(disable_numparse=True)
'|    | a     |\n|:---|:------|\n| 0  | 1234. |'

[phofl]

thanks @Aloqeely, closing here