-
-
Notifications
You must be signed in to change notification settings - Fork 18.4k
BUG: Unsupported operations #55091
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Comments
You can find a list of the supported functions here in the API reference. I'm not sure this is a bug since it's simply noting a function that doesn't exist. Maybe you should change this to a feature request if you can't find what you're looking for in the API reference? |
How API reference page related to list of commands that supported in pd.eval() expressions? But this links dont provide me the list of mathematical functions like "atan", "cos" that supported in pd.eval().
I have setup this discussion as issue because I think that if "atan" are supported, "tan" can`t be not supported function |
The Docs do give you a list of the basic operations, which you omitted above:
However I do think it would be helpful to list out those other functions you found in the source code in the Docs. I also again, think you should change the label to an So there are 2 Action items Here:
|
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
Issue Description
While running the example, I have getting the following exception:
ValueError: "tan" is not a supported function
Why "tan" is not supported if "arctan" is supported?
Where I can check the list of all supported mathematical functions?
Expected Behavior
"tan" function will be supported
Installed Versions
INSTALLED VERSIONS
commit : ca60aab
python : 3.9.16.final.0
python-bits : 64
OS : Windows
OS-release : 10
Version : 10.0.22621
machine : AMD64
processor : Intel64 Family 6 Model 183 Stepping 1, GenuineIntel
byteorder : little
LC_ALL : None
LANG : None
LOCALE : Russian_Ukraine.1251
pandas : 1.4.4
numpy : 1.23.5
pytz : 2023.3
dateutil : 2.8.2
setuptools : 67.8.0
pip : 23.1.2
Cython : None
pytest : 7.1.2
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : 1.0.3
psycopg2 : None
jinja2 : 3.1.2
IPython : 8.5.0
pandas_datareader: None
bs4 : 4.12.2
bottleneck : None
brotli : None
fastparquet : None
fsspec : None
gcsfs : None
markupsafe : 2.1.3
matplotlib : 3.5.3
numba : None
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : None
pyreadstat : None
pyxlsb : None
s3fs : None
scipy : 1.9.3
snappy : None
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
zstandard : None
The text was updated successfully, but these errors were encountered: