Suppose I want to check that a certain entry is in a Series. I would like to try to access that entry, and if that fails, raise a simple, short ValueError.
For example, I have a series that doesn't have entry C
- I want a check to halt the script. Example:
s = {'A': 1, 'B': 2}
s = pd.Series(s)
try:
s['C']
except:
raise ValueError('C is missing.')
But this code throws a long KeyError before spitting out the ValueError. It works, but is verbose.
(I know that I can use an assert statement instaead.)
Why doesn't the try block suppress the KeyError - isn't that part of its purpose? Is there a way to get my intended behavior?
CodePudding user response:
You are seeing exception chaining. This extra information can be suppressed with a from None
clause in your raise
statement. Consider this (totally contrived) case where I am suppressing a ZeroDivisionError
and raising a KeyError
:
>>> try:
... 1/0
... except ZeroDivisionError:
... raise KeyError
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
ZeroDivisionError: division by zero
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<stdin>", line 4, in <module>
KeyError
But if I use from none
:
>>> try:
... 1/0
... except ZeroDivisionError:
... raise KeyError from None
...
Traceback (most recent call last):
File "<stdin>", line 4, in <module>
KeyError
>>>
Also note, you really should not use a bare except
clause. Catch as specific an error as possible.