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I’m still kinda new with Python, using Pandas, and I’ve got some issues debugging my Python script.
I’ve got the following warning message :
[...]\pandas\core\index.py:756: UnicodeWarning: Unicode equal comparison failed to convert both arguments to Unicode - interpreting them as being unequal return self._engine.get_loc(key)
And can’t find where it’s from.
After some research, I tried to do that in the Pandas lib file (index.py):
try: return self._engine.get_loc(key) except UnicodeWarning: warnings.warn('Oh Non', stacklevel=2)
But that didn’t change anything about the warning message.
You can filter the warnings to raise which will enable you to debug (e.g. using pdb):
import warnings warnings.filterwarnings('error')
*The warnings filter can be managed more finely (which is probably more appropriate) e.g.:
warnings.filterwarnings('error', category=UnicodeWarning) warnings.filterwarnings('error', message="*equal comparison failed*")
Multiple filters will be looked up sequentially. (“Entries closer to the front of the list override entries later in the list, if both match a particular warning.”)
You can also use the commandline to control the warnings:
python -W error::UnicodeWarning your_code.py
From the man page:
[…] error to raise an exception instead of printing a warning message.
This will have the same effect as putting the following in your code:
import warnings warnings.filterwarnings('error', category=UnicodeWarning)
As was already said in Andy’s answer.
If you enable logging in python, then when an exception is received you can use the method
logging.exception to log when an exception has been caught – this method will print out a nicely formatted stack trace that shows you exactly in the code where the exception originated. See the python document on logging for more information.
import logging log = logging.getLogger('my.module.logger') try: return self._engine.get_loc(key) except UnicodeWarning: log.exception('A log message of your choosing')
Alternatively, you can get a tuple that contains details of the exception in your code by calling
sys.exc_info() (this requires you to import the
The most informative way to investigate a warning is to convert it into an error (
Exception) so you can see its full stacktrace:
import warnings warnings.simplefilter("error")