warnings — Warning control
New in version 2.1.
Source code: Lib/warnings.py
Warning messages are typically issued in situations where it is useful to alert the user of some condition in a program, where that condition (normally) doesn’t warrant raising an exception and terminating the program. For example, one might want to issue a warning when a program uses an obsolete module.
Warning messages are normally written to
sys.stderr, but their disposition
can be changed flexibly, from ignoring all warnings to turning them into
exceptions. The disposition of warnings can vary based on the warning category
(see below), the text of the warning message, and the source location where it
is issued. Repetitions of a particular warning for the same source location are
There are two stages in warning control: first, each time a warning is issued, a determination is made whether a message should be issued or not; next, if a message is to be issued, it is formatted and printed using a user-settable hook.
The determination whether to issue a warning message is controlled by the
warning filter, which is a sequence of matching rules and actions. Rules can be
added to the filter by calling
filterwarnings() and reset to its default
state by calling
The printing of warning messages is done by calling
may be overridden; the default implementation of this function formats the
message by calling
formatwarning(), which is also available for use by
logging.captureWarnings() allows you to handle all warnings with
the standard logging infrastructure.
28.6.1. Warning Categories
There are a number of built-in exceptions that represent warning categories. This categorization is useful to be able to filter out groups of warnings. The following warnings category classes are currently defined:
||This is the base class of all warning
category classes. It is a subclass of
||The default category for
||Base category for warnings about deprecated features (ignored by default).|
||Base category for warnings about dubious syntactic features.|
||Base category for warnings about dubious runtime features.|
||Base category for warnings about constructs that will change semantically in the future.|
||Base category for warnings about features that will be deprecated in the future (ignored by default).|
||Base category for warnings triggered during the process of importing a module (ignored by default).|
||Base category for warnings related to Unicode.|
While these are technically built-in exceptions, they are documented here, because conceptually they belong to the warnings mechanism.
User code can define additional warning categories by subclassing one of the
standard warning categories. A warning category must always be a subclass of
Changed in version 2.7:
DeprecationWarning is ignored by default.
28.6.2. The Warnings Filter
The warnings filter controls whether warnings are ignored, displayed, or turned into errors (raising an exception).
Conceptually, the warnings filter maintains an ordered list of filter specifications; any specific warning is matched against each filter specification in the list in turn until a match is found; the match determines the disposition of the match. Each entry is a tuple of the form (action, message, category, module, lineno), where:
action is one of the following strings:
turn matching warnings into exceptions
never print matching warnings
always print matching warnings
print the first occurrence of matching warnings for each location where the warning is issued
print the first occurrence of matching warnings for each module where the warning is issued
print only the first occurrence of matching warnings, regardless of location
message is a string containing a regular expression that the start of the warning message must match. The expression is compiled to always be case-insensitive.
category is a class (a subclass of
Warning) of which the warning category must be a subclass in order to match.
module is a string containing a regular expression that the module name must match. The expression is compiled to be case-sensitive.
lineno is an integer that the line number where the warning occurred must match, or
0to match all line numbers.
The warnings filter is initialized by
-W options passed to the Python
interpreter command line. The interpreter saves the arguments for all
-W options without interpretation in
warnings module parses these when it is first imported (invalid options
are ignored, after printing a message to
184.108.40.206. Default Warning Filters
28.6.3. Temporarily Suppressing Warnings
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
manager at the same time, the behavior is undefined.
28.6.4. Testing Warnings
To test warnings raised by code, use the
manager. With it you can temporarily mutate the warnings filter to facilitate
your testing. For instance, do the following to capture all raised warnings to
import warnings def fxn(): warnings.warn("deprecated", DeprecationWarning) with warnings.catch_warnings(record=True) as w: # Cause all warnings to always be triggered. warnings.simplefilter("always") # Trigger a warning. fxn() # Verify some things assert len(w) == 1 assert issubclass(w[-1].category, DeprecationWarning) assert "deprecated" in str(w[-1].message)
One can also cause all warnings to be exceptions by using
error instead of
always. One thing to be aware of is that if a warning has already been
raised because of a
default rule, then no matter what filters are
set the warning will not be seen again unless the warnings registry related to
the warning has been cleared.
Once the context manager exits, the warnings filter is restored to its state
when the context was entered. This prevents tests from changing the warnings
filter in unexpected ways between tests and leading to indeterminate test
showwarning() function in the module is also restored to
its original value. Note: this can only be guaranteed in a single-threaded
application. If two or more threads use the
manager at the same time, the behavior is undefined.
When testing multiple operations that raise the same kind of warning, it is important to test them in a manner that confirms each operation is raising a new warning (e.g. set warnings to be raised as exceptions and check the operations raise exceptions, check that the length of the warning list continues to increase after each operation, or else delete the previous entries from the warnings list before each new operation).
28.6.5. Updating Code For New Versions of Python
Warnings that are only of interest to the developer are ignored by default. As
such you should make sure to test your code with typically ignored warnings
made visible. You can do this from the command-line by passing
to the interpreter (this is shorthand for
-W default). This enables
default handling for all warnings, including those that are ignored by default.
To change what action is taken for encountered warnings you simply change what
argument is passed to
-W error. See the
-W flag for more details on what is possible.
To programmatically do the same as
Make sure to execute this code as soon as possible. This prevents the registering of what warnings have been raised from unexpectedly influencing how future warnings are treated.
Having certain warnings ignored by default is done to prevent a user from
seeing warnings that are only of interest to the developer. As you do not
necessarily have control over what interpreter a user uses to run their code,
it is possible that a new version of Python will be released between your
release cycles. The new interpreter release could trigger new warnings in your
code that were not there in an older interpreter, e.g.
DeprecationWarning for a module that you are using. While you as a
developer want to be notified that your code is using a deprecated module, to a
user this information is essentially noise and provides no benefit to them.
28.6.6. Available Functions
warn(message[, category[, stacklevel]])
Issue a warning, or maybe ignore it or raise an exception. The category argument, if given, must be a warning category class (see above); it defaults to
UserWarning. Alternatively message can be a
Warninginstance, in which case category will be ignored and
message.__class__will be used. In this case the message text will be
str(message). This function raises an exception if the particular warning issued is changed into an error by the warnings filter see above. The stacklevel argument can be used by wrapper functions written in Python, like this:
def deprecation(message): warnings.warn(message, DeprecationWarning, stacklevel=2)
This makes the warning refer to
deprecation()‘s caller, rather than to the source of
deprecation()itself (since the latter would defeat the purpose of the warning message).
warn_explicit(message, category, filename, lineno[, module[, registry[, module_globals]]])
This is a low-level interface to the functionality of
warn(), passing in explicitly the message, category, filename and line number, and optionally the module name and the registry (which should be the
__warningregistry__dictionary of the module). The module name defaults to the filename with
.pystripped; if no registry is passed, the warning is never suppressed. message must be a string and category a subclass of
Warningor message may be a
Warninginstance, in which case category will be ignored.
module_globals, if supplied, should be the global namespace in use by the code for which the warning is issued. (This argument is used to support displaying source for modules found in zipfiles or other non-filesystem import sources).
Changed in version 2.5: Added the module_globals parameter.
warnpy3k(message[, category[, stacklevel]])
Issue a warning related to Python 3.x deprecation. Warnings are only shown when Python is started with the -3 option. Like
warn()message must be a string and category a subclass of
DeprecationWarningas default warning class.
New in version 2.6.
showwarning(message, category, filename, lineno[, file[, line]])
Write a warning to a file. The default implementation calls
formatwarning(message, category, filename, lineno, line)and writes the resulting string to file, which defaults to
sys.stderr. You may replace this function with an alternative implementation by assigning to
warnings.showwarning. line is a line of source code to be included in the warning message; if line is not supplied,
showwarning()will try to read the line specified by filename and lineno.
Changed in version 2.7: The line argument is required to be supported.
formatwarning(message, category, filename, lineno[, line])
Format a warning the standard way. This returns a string which may contain embedded newlines and ends in a newline. line is a line of source code to be included in the warning message; if line is not supplied,
formatwarning()will try to read the line specified by filename and lineno.
Changed in version 2.6: Added the line argument.
filterwarnings(action[, message[, category[, module[, lineno[, append]]]]])
Insert an entry into the list of warnings filter specifications. The entry is inserted at the front by default; if append is true, it is inserted at the end. This checks the types of the arguments, compiles the message and module regular expressions, and inserts them as a tuple in the list of warnings filters. Entries closer to the front of the list override entries later in the list, if both match a particular warning. Omitted arguments default to a value that matches everything.
simplefilter(action[, category[, lineno[, append]]])
Insert a simple entry into the list of warnings filter specifications. The meaning of the function parameters is as for
filterwarnings(), but regular expressions are not needed as the filter inserted always matches any message in any module as long as the category and line number match.
28.6.7. Available Context Managers
catch_warnings([*, record=False, module=None])
A context manager that copies and, upon exit, restores the warnings filter and the
showwarning()function. If the record argument is
False(the default) the context manager returns
Noneon entry. If record is
True, a list is returned that is progressively populated with objects as seen by a custom
showwarning()function (which also suppresses output to
sys.stdout). Each object in the list has attributes with the same names as the arguments to
The module argument takes a module that will be used instead of the module returned when you import
warningswhose filter will be protected. This argument exists primarily for testing the
catch_warningsmanager works by replacing and then later restoring the module’s
showwarning()function and internal list of filter specifications. This means the context manager is modifying global state and therefore is not thread-safe.
In Python 3, the arguments to the constructor for
catch_warningsare keyword-only arguments.
New in version 2.6.