Python "raise from" usage
The difference is that when you use from
, the __cause__
attribute is set and the message states that the exception was directly caused by. If you omit the from
then no __cause__
is set, but the __context__
attribute may be set as well, and the traceback then shows the context as during handling something else happened.
Setting the __context__
happens if you used raise
in an exception handler; if you used raise
anywhere else no __context__
is set either.
If a __cause__
is set, a __suppress_context__ = True
flag is also set on the exception; when __suppress_context__
is set to True
, the __context__
is ignored when printing a traceback.
When raising from a exception handler where you don't want to show the context (don't want a during handling another exception happened message), then use raise ... from None
to set __suppress_context__
to True
.
In other words, Python sets a context on exceptions so you can introspect where an exception was raised, letting you see if another exception was replaced by it. You can also add a cause to an exception, making the traceback explicit about the other exception (use different wording), and the context is ignored (but can still be introspected when debugging). Using raise ... from None
lets you suppress the context being printed.
See the raise
statement documenation:
The
from
clause is used for exception chaining: if given, the second expression must be another exception class or instance, which will then be attached to the raised exception as the__cause__
attribute (which is writable). If the raised exception is not handled, both exceptions will be printed:>>> try: ... print(1 / 0) ... except Exception as exc: ... raise RuntimeError("Something bad happened") from exc ... Traceback (most recent call last): File "<stdin>", line 2, in <module> ZeroDivisionError: int division or modulo by zero The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<stdin>", line 4, in <module> RuntimeError: Something bad happened
A similar mechanism works implicitly if an exception is raised inside an exception handler or a
finally
clause: the previous exception is then attached as the new exception’s__context__
attribute:>>> try: ... print(1 / 0) ... except: ... raise RuntimeError("Something bad happened") ... Traceback (most recent call last): File "<stdin>", line 2, in <module> ZeroDivisionError: int division or modulo by zero During handling of the above exception, another exception occurred: Traceback (most recent call last): File "<stdin>", line 4, in <module> RuntimeError: Something bad happened
Also see the Built-in Exceptions documentation for details on the context and cause information attached to exceptions.