Description
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
pd.DataFrame({'foo': [2,4,6], 'bar': [1,2,3]}).transform(
{
'foo': lambda x: x+2,
'bar': lambda x: x*2
},
axis="columns"
)Issue Description
The code raises KeyError: "Column(s) ['bar', 'foo'] do not exist" even though the columns are present, evidently.
Expected Behavior
Transform the columns according to the dict-like argument of the tranform() function and return a new data frame, without raising an error.
Installed Versions
INSTALLED VERSIONS
commit : d9cdd2e
python : 3.11.9.final.0
python-bits : 64
OS : Linux
OS-release : 6.8.7-200.fc39.x86_64
Version : #1 SMP PREEMPT_DYNAMIC Wed Apr 17 19:35:11 UTC 2024
machine : x86_64
processor :
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 2.2.2
numpy : 1.24.2
pytz : 2022.7.1
dateutil : 2.8.2
setuptools : 67.1.0
pip : 24.0
Cython : None
pytest : None
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : 4.9.2
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.10.0
pandas_datareader : None
adbc-driver-postgresql: None
adbc-driver-sqlite : None
bs4 : 4.11.2
bottleneck : None
dataframe-api-compat : None
fastparquet : 2023.2.0
fsspec : 2023.1.0
gcsfs : None
matplotlib : 3.6.3
numba : None
numexpr : None
odfpy : None
openpyxl : 3.1.1
pandas_gbq : None
pyarrow : 16.0.0
pyreadstat : None
python-calamine : None
pyxlsb : None
s3fs : None
scipy : 1.10.0
sqlalchemy : 2.0.24
tables : None
tabulate : None
xarray : 2023.2.0
xlrd : 2.0.1
zstandard : None
tzdata : 2024.1
qtpy : 2.3.0
pyqt5 : None