pandas (original) (raw)

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

print(pd.version)

Expected Output

col1 = 'TEST' col2 = 'PANDAS' col3 = 'to_string' print(f'{col1:<6s} {col2:<7s} {col3:<10s}')

to_string output

df = pd.DataFrame([{'col1': 'TEST', 'col2': 'PANDAS', 'col3': 'to_string'}]) d = {'col1': '{:<6s}'.format, 'col2': '{:<7s}'.format, 'col3': '{:<10s}'.format} print(df.to_string(index=False, header=False, formatters=d))

Issue Description

Extra spaces get added when using to_string() in pandas 2.0 and the main branch.

Possibly related:
#4158
#4668

Was advised in Slack to create a new issue, as those bug reports are quite old.

Expected Behavior

Issue not present in pandas 1.5.3.

Installed Versions

INSTALLED VERSIONS (non-working)

commit : b661313
python : 3.8.16.final.0
python-bits : 64
OS : Linux
OS-release : 6.1.23-1-MANJARO
Version : #1 SMP PREEMPT_DYNAMIC Thu Apr 6 19:47:04 UTC 2023
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.utf8
LOCALE : en_US.UTF-8

pandas : 2.1.0.dev0+527.gb661313cf5.dirty
numpy : 1.23.5
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.6.1
pip : 23.1
Cython : 0.29.33
pytest : 7.3.1
hypothesis : 6.71.0
sphinx : 4.5.0
blosc : None
feather : None
xlsxwriter : 3.0.9
lxml.etree : 4.9.2
html5lib : 1.1
pymysql : 1.0.3
psycopg2 : 2.9.3
jinja2 : 3.1.2
IPython : 8.12.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : 1.3.7
brotli :
fastparquet : 2023.2.0
fsspec : 2023.4.0
gcsfs : 2023.4.0
matplotlib : 3.6.3
numba : 0.56.4
numexpr : 2.8.4
odfpy : None
openpyxl : 3.1.0
pandas_gbq : None
pyarrow : 11.0.0
pyreadstat : 1.2.1
pyxlsb : 1.0.10
s3fs : 2023.4.0
scipy : 1.10.1
snappy :
sqlalchemy : 2.0.9
tables : 3.8.0
tabulate : 0.9.0
xarray : 2023.1.0
xlrd : 2.0.1
zstandard : 0.19.0
tzdata : 2023.3
qtpy : None
pyqt5 : None