I just finished installing my MySQLdb
package for Python 2.6, and now when I import it using import MySQLdb
, a user warning appear will appear
/usr/lib/python2.6/site-packages/setuptools-0.8-py2.6.egg/pkg_resources.py:1054: UserWarning: /home/sgpromot/.python-eggs is writable by group/others and vulnerable to attack when used with get_resource_filename. Consider a more secure location (set with .set_extraction_path or the PYTHON_EGG_CACHE environment variable). warnings.warn(msg, UserWarning)
Is there a way how to get rid of this?
When nothing else works: $ pip install shutup . Then at the top of the code import shutup;shutup. please() . This will disable all warnings.
One approach that can be used to suppress SettingWithCopyWarning is to perform the chained operations into just a single loc operation. This will ensure that the assignment happens on the original DataFrame instead of a copy. Therefore, if we attempt doing so the warning should no longer be raised.
You can change ~/.python-eggs
to not be writeable by group/everyone. I think this works:
chmod g-wx,o-wx ~/.python-eggs
You can suppress warnings using the -W ignore
:
python -W ignore yourscript.py
If you want to supress warnings in your script (quote from docs):
If you are using code that you know will raise a warning, such as a deprecated function, but do not want to see the warning, then it is possible to suppress the warning using the catch_warnings context manager:
import warnings def fxn(): warnings.warn("deprecated", DeprecationWarning) with warnings.catch_warnings(): warnings.simplefilter("ignore") fxn()
While within the context manager all warnings will simply be ignored. This allows you to use known-deprecated code without having to see the warning while not suppressing the warning for other code that might not be aware of its use of deprecated code. Note: this can only be guaranteed in a single-threaded application. If two or more threads use the catch_warnings context manager at the same time, the behavior is undefined.
If you just want to flat out ignore warnings, you can use filterwarnings
:
import warnings warnings.filterwarnings("ignore")
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