I keep getting this :
DeprecationWarning: integer argument expected, got float
How do I make this message go away? Is there a way to avoid warnings in Python?
This question is related to
python
warnings
deprecated
ignore
Pass the correct arguments? :P
On the more serious note, you can pass the argument -Wi::DeprecationWarning on the command line to the interpreter to ignore the deprecation warnings.
Convert the argument to int. It's as simple as
int(argument)
When you want to ignore warnings only in functions you can do the following.
import warnings
from functools import wraps
def ignore_warnings(f):
@wraps(f)
def inner(*args, **kwargs):
with warnings.catch_warnings(record=True) as w:
warnings.simplefilter("ignore")
response = f(*args, **kwargs)
return response
return inner
@ignore_warnings
def foo(arg1, arg2):
...
write your code here without warnings
...
@ignore_warnings
def foo2(arg1, arg2, arg3):
...
write your code here without warnings
...
Just add the @ignore_warnings decorator on the function you want to ignore all warnings
Not to beat you up about it but you are being warned that what you are doing will likely stop working when you next upgrade python. Convert to int and be done with it.
BTW. You can also write your own warnings handler. Just assign a function that does nothing. How to redirect python warnings to a custom stream?
Python 3
Just write below lines that are easy to remember before writing your code:
import warnings
warnings.filterwarnings("ignore")
None of these answers worked for me so I will post my way to solve this. I use the following at the beginning of my main.py
script and it works fine.
Use the following as it is (copy-paste it):
def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
Example:
import "blabla"
import "blabla"
def warn(*args, **kwargs):
pass
import warnings
warnings.warn = warn
# more code here...
# more code here...
For python 3, just write below codes to ignore all warnings.
from warnings import filterwarnings
filterwarnings("ignore")
I found the cleanest way to do this (especially on windows) is by adding the following to C:\Python26\Lib\site-packages\sitecustomize.py:
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
Note that I had to create this file. Of course, change the path to python if yours is different.
If you know what you are doing, another way is simply find the file that warns you(the path of the file is shown in warning info), comment the lines that generate the warnings.
Comment out the warning lines in the below file:
lib64/python2.7/site-packages/cryptography/__init__.py
Try the below code if you're Using Python3:
import sys
if not sys.warnoptions:
import warnings
warnings.simplefilter("ignore")
or try this...
import warnings
def fxn():
warnings.warn("deprecated", DeprecationWarning)
with warnings.catch_warnings():
warnings.simplefilter("ignore")
fxn()
or try this...
import warnings
warnings.filterwarnings("ignore")
I had these:
/home/eddyp/virtualenv/lib/python2.6/site-packages/Twisted-8.2.0-py2.6-linux-x86_64.egg/twisted/persisted/sob.py:12:
DeprecationWarning: the md5 module is deprecated; use hashlib instead import os, md5, sys
/home/eddyp/virtualenv/lib/python2.6/site-packages/Twisted-8.2.0-py2.6-linux-x86_64.egg/twisted/python/filepath.py:12:
DeprecationWarning: the sha module is deprecated; use the hashlib module instead import sha
Fixed it with:
import warnings
with warnings.catch_warnings():
warnings.filterwarnings("ignore",category=DeprecationWarning)
import md5, sha
yourcode()
Now you still get all the other DeprecationWarning
s, but not the ones caused by:
import md5, sha
ENV PYTHONWARNINGS="ignore::DeprecationWarning"
You should just fix your code but just in case,
import warnings
warnings.filterwarnings("ignore", category=DeprecationWarning)
If you are using logging (https://docs.python.org/3/library/logging.html) to format or redirect your ERROR, NOTICE, and DEBUG messages, you can redirect the WARNINGS from the warning system to the logging system:
logging.captureWarnings(True)
See https://docs.python.org/3/library/warnings.html and https://docs.python.org/3/library/logging.html#logging.captureWarnings
In my case, I was formatting all the exceptions with the logging system, but warnings (e.g. scikit-learn) were not affected.
Source: Stackoverflow.com