Open
Description
First reported in #51459
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
>>> data = pd.DataFrame(pd.period_range(start="2000-01-01", periods=1, freq="H"))
>>> print(data.to_csv())
,0
0,2000-01-01 00:00
1,2000-01-01 01:00
>>> print(data.to_csv(date_format="%Y-%m-%d___%H:%M:%S"))
,0
0,2000-01-01 00:00
1,2000-01-01 01:00
>>> print(data.set_index(0).to_csv(date_format="%Y-%m-%d___%H:%M:%S"))
0
2000-01-01___00:00:00
2000-01-01___01:00:00Issue Description
to_csv does not take into account date_format for PeriodArrays that are normal columns the dataframe. Only PeriodIndex are correctly formatted.
Expected Behavior
The formatting should be right even if the period array is not the index
Installed Versions
INSTALLED VERSIONS
------------------
commit : 705ff81
python : 3.8.13.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.19044
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 10, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : fr_FR.cp1252
pandas : 1.5.0.dev0+3039.g705ff813d9.dirty
numpy : 1.23.4
pytz : 2022.5
dateutil : 2.8.2
setuptools : 65.5.0
pip : 22.3
Cython : 0.29.32
pytest : 7.2.0
hypothesis : 6.56.4
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : None
IPython : None
pandas_datareader: None
bs4 : None
bottleneck : None
brotli :
fastparquet : None
fsspec : None
gcsfs : None
matplotlib : None
numba : None
numexpr : 2.8.3
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : None
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
zstandard : None
tzdata : None
qtpy : None
pyqt5 : None