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# 模块 [`logging`](#module-logging "logging: Flexible event logging system for applications.") --- Python 的日志记录工具
**源代码:** [Lib/logging/\_\_init\_\_.py](https://github.com/python/cpython/tree/3.7/Lib/logging/__init__.py) \[https://github.com/python/cpython/tree/3.7/Lib/logging/\_\_init\_\_.py\]
Important
此页面仅包含API参考信息。有关更多高级主题的教程信息和讨论,请参阅
- [基础教程](../howto/logging.xhtml#logging-basic-tutorial)
- [进阶教程](../howto/logging.xhtml#logging-advanced-tutorial)
- [Logging Cookbook](../howto/logging-cookbook.xhtml#logging-cookbook)
- - - - - -
This module defines functions and classes which implement a flexible event logging system for applications and libraries.
The key benefit of having the logging API provided by a standard library module is that all Python modules can participate in logging, so your application log can include your own messages integrated with messages from third-party modules.
The module provides a lot of functionality and flexibility. If you are unfamiliar with logging, the best way to get to grips with it is to see the tutorials (see the links on the right).
The basic classes defined by the module, together with their functions, are listed below.
- 记录器暴露了应用程序代码直接使用的接口。
- 处理程序将日志记录(由记录器创建)发送到适当的目标。
- 过滤器提供了更精细的设施,用于确定要输出的日志记录。
- 格式化程序指定最终输出中日志记录的样式。
## Logger Objects
Loggers have the following attributes and methods. Note that Loggers are never instantiated directly, but always through the module-level function `logging.getLogger(name)`. Multiple calls to [`getLogger()`](#logging.getLogger "logging.getLogger") with the same name will always return a reference to the same Logger object.
The `name` is potentially a period-separated hierarchical value, like `foo.bar.baz` (though it could also be just plain `foo`, for example). Loggers that are further down in the hierarchical list are children of loggers higher up in the list. For example, given a logger with a name of `foo`, loggers with names of `foo.bar`, `foo.bar.baz`, and `foo.bam` are all descendants of `foo`. The logger name hierarchy is analogous to the Python package hierarchy, and identical to it if you organise your loggers on a per-module basis using the recommended construction `logging.getLogger(__name__)`. That's because in a module, `__name__`is the module's name in the Python package namespace.
*class* `logging.``Logger``propagate`If this attribute evaluates to true, events logged to this logger will be passed to the handlers of higher level (ancestor) loggers, in addition to any handlers attached to this logger. Messages are passed directly to the ancestor loggers' handlers - neither the level nor filters of the ancestor loggers in question are considered.
If this evaluates to false, logging messages are not passed to the handlers of ancestor loggers.
The constructor sets this attribute to `True`.
注解
If you attach a handler to a logger *and* one or more of its ancestors, it may emit the same record multiple times. In general, you should not need to attach a handler to more than one logger - if you just attach it to the appropriate logger which is highest in the logger hierarchy, then it will see all events logged by all descendant loggers, provided that their propagate setting is left set to `True`. A common scenario is to attach handlers only to the root logger, and to let propagation take care of the rest.
`setLevel`(*level*)Sets the threshold for this logger to *level*. Logging messages which are less severe than *level* will be ignored; logging messages which have severity *level*or higher will be emitted by whichever handler or handlers service this logger, unless a handler's level has been set to a higher severity level than *level*.
When a logger is created, the level is set to `NOTSET` (which causes all messages to be processed when the logger is the root logger, or delegation to the parent when the logger is a non-root logger). Note that the root logger is created with level `WARNING`.
The term 'delegation to the parent' means that if a logger has a level of NOTSET, its chain of ancestor loggers is traversed until either an ancestor with a level other than NOTSET is found, or the root is reached.
If an ancestor is found with a level other than NOTSET, then that ancestor's level is treated as the effective level of the logger where the ancestor search began, and is used to determine how a logging event is handled.
If the root is reached, and it has a level of NOTSET, then all messages will be processed. Otherwise, the root's level will be used as the effective level.
See [日志级别](#levels) for a list of levels.
在 3.2 版更改: The *level* parameter now accepts a string representation of the level such as 'INFO' as an alternative to the integer constants such as `INFO`. Note, however, that levels are internally stored as integers, and methods such as e.g. [`getEffectiveLevel()`](#logging.Logger.getEffectiveLevel "logging.Logger.getEffectiveLevel") and [`isEnabledFor()`](#logging.Logger.isEnabledFor "logging.Logger.isEnabledFor") will return/expect to be passed integers.
`isEnabledFor`(*lvl*)Indicates if a message of severity *lvl* would be processed by this logger. This method checks first the module-level level set by `logging.disable(lvl)` and then the logger's effective level as determined by [`getEffectiveLevel()`](#logging.Logger.getEffectiveLevel "logging.Logger.getEffectiveLevel").
`getEffectiveLevel`()Indicates the effective level for this logger. If a value other than `NOTSET` has been set using [`setLevel()`](#logging.Logger.setLevel "logging.Logger.setLevel"), it is returned. Otherwise, the hierarchy is traversed towards the root until a value other than `NOTSET` is found, and that value is returned. The value returned is an integer, typically one of `logging.DEBUG`, `logging.INFO`etc.
`getChild`(*suffix*)Returns a logger which is a descendant to this logger, as determined by the suffix. Thus, `logging.getLogger('abc').getChild('def.ghi')` would return the same logger as would be returned by `logging.getLogger('abc.def.ghi')`. This is a convenience method, useful when the parent logger is named using e.g. `__name__`rather than a literal string.
3\.2 新版功能.
`debug`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `DEBUG` on this logger. The *msg* is the message format string, and the *args* are the arguments which are merged into *msg* using the string formatting operator. (Note that this means that you can use keywords in the format string, together with a single dictionary argument.)
There are three keyword arguments in *kwargs* which are inspected: *exc\_info*, *stack\_info*, and *extra*.
If *exc\_info* does not evaluate as false, it causes exception information to be added to the logging message. If an exception tuple (in the format returned by [`sys.exc_info()`](sys.xhtml#sys.exc_info "sys.exc_info")) or an exception instance is provided, it is used; otherwise, [`sys.exc_info()`](sys.xhtml#sys.exc_info "sys.exc_info") is called to get the exception information.
The second optional keyword argument is *stack\_info*, which defaults to `False`. If true, stack information is added to the logging message, including the actual logging call. Note that this is not the same stack information as that displayed through specifying *exc\_info*: The former is stack frames from the bottom of the stack up to the logging call in the current thread, whereas the latter is information about stack frames which have been unwound, following an exception, while searching for exception handlers.
You can specify *stack\_info* independently of *exc\_info*, e.g. to just show how you got to a certain point in your code, even when no exceptions were raised. The stack frames are printed following a header line which says:
```
Stack (most recent call last):
```
This mimics the `Traceback (most recent call last):` which is used when displaying exception frames.
The third keyword argument is *extra* which can be used to pass a dictionary which is used to populate the \_\_dict\_\_ of the LogRecord created for the logging event with user-defined attributes. These custom attributes can then be used as you like. For example, they could be incorporated into logged messages. For example:
```
FORMAT = '%(asctime)-15s %(clientip)s %(user)-8s %(message)s'
logging.basicConfig(format=FORMAT)
d = {'clientip': '192.168.0.1', 'user': 'fbloggs'}
logger = logging.getLogger('tcpserver')
logger.warning('Protocol problem: %s', 'connection reset', extra=d)
```
would print something like
```
2006-02-08 22:20:02,165 192.168.0.1 fbloggs Protocol problem: connection reset
```
The keys in the dictionary passed in *extra* should not clash with the keys used by the logging system. (See the [`Formatter`](#logging.Formatter "logging.Formatter") documentation for more information on which keys are used by the logging system.)
If you choose to use these attributes in logged messages, you need to exercise some care. In the above example, for instance, the [`Formatter`](#logging.Formatter "logging.Formatter") has been set up with a format string which expects 'clientip' and 'user' in the attribute dictionary of the LogRecord. If these are missing, the message will not be logged because a string formatting exception will occur. So in this case, you always need to pass the *extra* dictionary with these keys.
While this might be annoying, this feature is intended for use in specialized circumstances, such as multi-threaded servers where the same code executes in many contexts, and interesting conditions which arise are dependent on this context (such as remote client IP address and authenticated user name, in the above example). In such circumstances, it is likely that specialized [`Formatter`](#logging.Formatter "logging.Formatter")s would be used with particular [`Handler`](#logging.Handler "logging.Handler")s.
3\.2 新版功能: The *stack\_info* parameter was added.
在 3.5 版更改: The *exc\_info* parameter can now accept exception instances.
`info`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `INFO` on this logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`warning`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `WARNING` on this logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
注解
There is an obsolete method `warn` which is functionally identical to `warning`. As `warn` is deprecated, please do not use it - use `warning` instead.
`error`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `ERROR` on this logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`critical`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `CRITICAL` on this logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`log`(*lvl*, *msg*, *\*args*, *\*\*kwargs*)Logs a message with integer level *lvl* on this logger. The other arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`exception`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `ERROR` on this logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug"). Exception info is added to the logging message. This method should only be called from an exception handler.
`addFilter`(*filter*)Adds the specified filter *filter* to this logger.
`removeFilter`(*filter*)Removes the specified filter *filter* from this logger.
`filter`(*record*)Applies this logger's filters to the record and returns a true value if the record is to be processed. The filters are consulted in turn, until one of them returns a false value. If none of them return a false value, the record will be processed (passed to handlers). If one returns a false value, no further processing of the record occurs.
`addHandler`(*hdlr*)Adds the specified handler *hdlr* to this logger.
`removeHandler`(*hdlr*)Removes the specified handler *hdlr* from this logger.
`findCaller`(*stack\_info=False*)Finds the caller's source filename and line number. Returns the filename, line number, function name and stack information as a 4-element tuple. The stack information is returned as `None` unless *stack\_info* is `True`.
`handle`(*record*)Handles a record by passing it to all handlers associated with this logger and its ancestors (until a false value of *propagate* is found). This method is used for unpickled records received from a socket, as well as those created locally. Logger-level filtering is applied using [`filter()`](#logging.Logger.filter "logging.Logger.filter").
`makeRecord`(*name*, *lvl*, *fn*, *lno*, *msg*, *args*, *exc\_info*, *func=None*, *extra=None*, *sinfo=None*)This is a factory method which can be overridden in subclasses to create specialized [`LogRecord`](#logging.LogRecord "logging.LogRecord") instances.
`hasHandlers`()Checks to see if this logger has any handlers configured. This is done by looking for handlers in this logger and its parents in the logger hierarchy. Returns `True` if a handler was found, else `False`. The method stops searching up the hierarchy whenever a logger with the 'propagate' attribute set to false is found - that will be the last logger which is checked for the existence of handlers.
3\.2 新版功能.
在 3.7 版更改: Loggers can now be pickled and unpickled.
## 日志级别
日志记录级别的数值在下表中给出。如果你想要定义自己的级别,并且需要它们具有相对于预定义级别的特定值,那么这些内容可能是你感兴趣的。如果你定义具有相同数值的级别,它将覆盖预定义的值; 预定义的名称丢失。
级别
数值
`CRITICAL`
50
`ERROR`
40
`WARNING`
30
`INFO`
20
`DEBUG`
10
`NOTSET`
0
## Handler Objects
Handlers have the following attributes and methods. Note that [`Handler`](#logging.Handler "logging.Handler")is never instantiated directly; this class acts as a base for more useful subclasses. However, the [`__init__()`](../reference/datamodel.xhtml#object.__init__ "object.__init__") method in subclasses needs to call [`Handler.__init__()`](#logging.Handler.__init__ "logging.Handler.__init__").
*class* `logging.``Handler``__init__`(*level=NOTSET*)Initializes the [`Handler`](#logging.Handler "logging.Handler") instance by setting its level, setting the list of filters to the empty list and creating a lock (using [`createLock()`](#logging.Handler.createLock "logging.Handler.createLock")) for serializing access to an I/O mechanism.
`createLock`()Initializes a thread lock which can be used to serialize access to underlying I/O functionality which may not be threadsafe.
`acquire`()Acquires the thread lock created with [`createLock()`](#logging.Handler.createLock "logging.Handler.createLock").
`release`()Releases the thread lock acquired with [`acquire()`](#logging.Handler.acquire "logging.Handler.acquire").
`setLevel`(*level*)Sets the threshold for this handler to *level*. Logging messages which are less severe than *level* will be ignored. When a handler is created, the level is set to `NOTSET` (which causes all messages to be processed).
See [日志级别](#levels) for a list of levels.
在 3.2 版更改: The *level* parameter now accepts a string representation of the level such as 'INFO' as an alternative to the integer constants such as `INFO`.
`setFormatter`(*fmt*)Sets the [`Formatter`](#logging.Formatter "logging.Formatter") for this handler to *fmt*.
`addFilter`(*filter*)Adds the specified filter *filter* to this handler.
`removeFilter`(*filter*)Removes the specified filter *filter* from this handler.
`filter`(*record*)Applies this handler's filters to the record and returns a true value if the record is to be processed. The filters are consulted in turn, until one of them returns a false value. If none of them return a false value, the record will be emitted. If one returns a false value, the handler will not emit the record.
`flush`()Ensure all logging output has been flushed. This version does nothing and is intended to be implemented by subclasses.
`close`()Tidy up any resources used by the handler. This version does no output but removes the handler from an internal list of handlers which is closed when [`shutdown()`](#logging.shutdown "logging.shutdown") is called. Subclasses should ensure that this gets called from overridden [`close()`](#logging.Handler.close "logging.Handler.close") methods.
`handle`(*record*)Conditionally emits the specified logging record, depending on filters which may have been added to the handler. Wraps the actual emission of the record with acquisition/release of the I/O thread lock.
`handleError`(*record*)This method should be called from handlers when an exception is encountered during an [`emit()`](#logging.Handler.emit "logging.Handler.emit") call. If the module-level attribute `raiseExceptions` is `False`, exceptions get silently ignored. This is what is mostly wanted for a logging system - most users will not care about errors in the logging system, they are more interested in application errors. You could, however, replace this with a custom handler if you wish. The specified record is the one which was being processed when the exception occurred. (The default value of `raiseExceptions` is `True`, as that is more useful during development).
`format`(*record*)Do formatting for a record - if a formatter is set, use it. Otherwise, use the default formatter for the module.
`emit`(*record*)Do whatever it takes to actually log the specified logging record. This version is intended to be implemented by subclasses and so raises a [`NotImplementedError`](exceptions.xhtml#NotImplementedError "NotImplementedError").
For a list of handlers included as standard, see [`logging.handlers`](logging.handlers.xhtml#module-logging.handlers "logging.handlers: Handlers for the logging module.").
## Formatter Objects
[`Formatter`](#logging.Formatter "logging.Formatter") objects have the following attributes and methods. They are responsible for converting a [`LogRecord`](#logging.LogRecord "logging.LogRecord") to (usually) a string which can be interpreted by either a human or an external system. The base [`Formatter`](#logging.Formatter "logging.Formatter") allows a formatting string to be specified. If none is supplied, the default value of `'%(message)s'` is used, which just includes the message in the logging call. To have additional items of information in the formatted output (such as a timestamp), keep reading.
A Formatter can be initialized with a format string which makes use of knowledge of the [`LogRecord`](#logging.LogRecord "logging.LogRecord") attributes - such as the default value mentioned above making use of the fact that the user's message and arguments are pre-formatted into a [`LogRecord`](#logging.LogRecord "logging.LogRecord")'s *message* attribute. This format string contains standard Python %-style mapping keys. See section [printf 风格的字符串格式化](stdtypes.xhtml#old-string-formatting)for more information on string formatting.
The useful mapping keys in a [`LogRecord`](#logging.LogRecord "logging.LogRecord") are given in the section on [LogRecord attributes](#logrecord-attributes).
*class* `logging.``Formatter`(*fmt=None*, *datefmt=None*, *style='%'*)Returns a new instance of the [`Formatter`](#logging.Formatter "logging.Formatter") class. The instance is initialized with a format string for the message as a whole, as well as a format string for the date/time portion of a message. If no *fmt* is specified, `'%(message)s'` is used. If no *datefmt* is specified, a format is used which is described in the [`formatTime()`](#logging.Formatter.formatTime "logging.Formatter.formatTime") documentation.
The *style* parameter can be one of '%', '{' or '$' and determines how the format string will be merged with its data: using one of %-formatting, [`str.format()`](stdtypes.xhtml#str.format "str.format") or [`string.Template`](string.xhtml#string.Template "string.Template"). See [Using particular formatting styles throughout your application](../howto/logging-cookbook.xhtml#formatting-styles)for more information on using {- and $-formatting for log messages.
在 3.2 版更改: The *style* parameter was added.
`format`(*record*)The record's attribute dictionary is used as the operand to a string formatting operation. Returns the resulting string. Before formatting the dictionary, a couple of preparatory steps are carried out. The *message*attribute of the record is computed using *msg* % *args*. If the formatting string contains `'(asctime)'`, [`formatTime()`](#logging.Formatter.formatTime "logging.Formatter.formatTime") is called to format the event time. If there is exception information, it is formatted using [`formatException()`](#logging.Formatter.formatException "logging.Formatter.formatException") and appended to the message. Note that the formatted exception information is cached in attribute *exc\_text*. This is useful because the exception information can be pickled and sent across the wire, but you should be careful if you have more than one [`Formatter`](#logging.Formatter "logging.Formatter") subclass which customizes the formatting of exception information. In this case, you will have to clear the cached value after a formatter has done its formatting, so that the next formatter to handle the event doesn't use the cached value but recalculates it afresh.
If stack information is available, it's appended after the exception information, using [`formatStack()`](#logging.Formatter.formatStack "logging.Formatter.formatStack") to transform it if necessary.
`formatTime`(*record*, *datefmt=None*)This method should be called from [`format()`](functions.xhtml#format "format") by a formatter which wants to make use of a formatted time. This method can be overridden in formatters to provide for any specific requirement, but the basic behavior is as follows: if *datefmt* (a string) is specified, it is used with [`time.strftime()`](time.xhtml#time.strftime "time.strftime") to format the creation time of the record. Otherwise, the format '%Y-%m-%d %H:%M:%S,uuu' is used, where the uuu part is a millisecond value and the other letters are as per the [`time.strftime()`](time.xhtml#time.strftime "time.strftime") documentation. An example time in this format is `2003-01-23 00:29:50,411`. The resulting string is returned.
This function uses a user-configurable function to convert the creation time to a tuple. By default, [`time.localtime()`](time.xhtml#time.localtime "time.localtime") is used; to change this for a particular formatter instance, set the `converter` attribute to a function with the same signature as [`time.localtime()`](time.xhtml#time.localtime "time.localtime") or [`time.gmtime()`](time.xhtml#time.gmtime "time.gmtime"). To change it for all formatters, for example if you want all logging times to be shown in GMT, set the `converter`attribute in the `Formatter` class.
在 3.3 版更改: Previously, the default format was hard-coded as in this example: `2010-09-06 22:38:15,292` where the part before the comma is handled by a strptime format string (`'%Y-%m-%d %H:%M:%S'`), and the part after the comma is a millisecond value. Because strptime does not have a format placeholder for milliseconds, the millisecond value is appended using another format string, `'%s,%03d'` --- and both of these format strings have been hardcoded into this method. With the change, these strings are defined as class-level attributes which can be overridden at the instance level when desired. The names of the attributes are `default_time_format` (for the strptime format string) and `default_msec_format` (for appending the millisecond value).
`formatException`(*exc\_info*)Formats the specified exception information (a standard exception tuple as returned by [`sys.exc_info()`](sys.xhtml#sys.exc_info "sys.exc_info")) as a string. This default implementation just uses [`traceback.print_exception()`](traceback.xhtml#traceback.print_exception "traceback.print_exception"). The resulting string is returned.
`formatStack`(*stack\_info*)Formats the specified stack information (a string as returned by [`traceback.print_stack()`](traceback.xhtml#traceback.print_stack "traceback.print_stack"), but with the last newline removed) as a string. This default implementation just returns the input value.
## Filter Objects
`Filters` can be used by `Handlers` and `Loggers` for more sophisticated filtering than is provided by levels. The base filter class only allows events which are below a certain point in the logger hierarchy. For example, a filter initialized with 'A.B' will allow events logged by loggers 'A.B', 'A.B.C', 'A.B.C.D', 'A.B.D' etc. but not 'A.BB', 'B.A.B' etc. If initialized with the empty string, all events are passed.
*class* `logging.``Filter`(*name=''*)Returns an instance of the [`Filter`](#logging.Filter "logging.Filter") class. If *name* is specified, it names a logger which, together with its children, will have its events allowed through the filter. If *name* is the empty string, allows every event.
`filter`(*record*)Is the specified record to be logged? Returns zero for no, nonzero for yes. If deemed appropriate, the record may be modified in-place by this method.
Note that filters attached to handlers are consulted before an event is emitted by the handler, whereas filters attached to loggers are consulted whenever an event is logged (using [`debug()`](#logging.debug "logging.debug"), [`info()`](#logging.info "logging.info"), etc.), before sending an event to handlers. This means that events which have been generated by descendant loggers will not be filtered by a logger's filter setting, unless the filter has also been applied to those descendant loggers.
You don't actually need to subclass `Filter`: you can pass any instance which has a `filter` method with the same semantics.
在 3.2 版更改: You don't need to create specialized `Filter` classes, or use other classes with a `filter` method: you can use a function (or other callable) as a filter. The filtering logic will check to see if the filter object has a `filter` attribute: if it does, it's assumed to be a `Filter` and its [`filter()`](#logging.Filter.filter "logging.Filter.filter") method is called. Otherwise, it's assumed to be a callable and called with the record as the single parameter. The returned value should conform to that returned by [`filter()`](#logging.Filter.filter "logging.Filter.filter").
Although filters are used primarily to filter records based on more sophisticated criteria than levels, they get to see every record which is processed by the handler or logger they're attached to: this can be useful if you want to do things like counting how many records were processed by a particular logger or handler, or adding, changing or removing attributes in the LogRecord being processed. Obviously changing the LogRecord needs to be done with some care, but it does allow the injection of contextual information into logs (see [Using Filters to impart contextual information](../howto/logging-cookbook.xhtml#filters-contextual)).
## LogRecord Objects
[`LogRecord`](#logging.LogRecord "logging.LogRecord") instances are created automatically by the [`Logger`](#logging.Logger "logging.Logger")every time something is logged, and can be created manually via [`makeLogRecord()`](#logging.makeLogRecord "logging.makeLogRecord") (for example, from a pickled event received over the wire).
*class* `logging.``LogRecord`(*name*, *level*, *pathname*, *lineno*, *msg*, *args*, *exc\_info*, *func=None*, *sinfo=None*)Contains all the information pertinent to the event being logged.
The primary information is passed in `msg` and `args`, which are combined using `msg % args` to create the `message` field of the record.
参数- **name** -- The name of the logger used to log the event represented by this LogRecord. Note that this name will always have this value, even though it may be emitted by a handler attached to a different (ancestor) logger.
- **level** -- The numeric level of the logging event (one of DEBUG, INFO etc.) Note that this is converted to *two* attributes of the LogRecord: `levelno` for the numeric value and `levelname` for the corresponding level name.
- **pathname** -- The full pathname of the source file where the logging call was made.
- **lineno** -- The line number in the source file where the logging call was made.
- **msg** -- The event description message, possibly a format string with placeholders for variable data.
- **args** -- Variable data to merge into the *msg* argument to obtain the event description.
- **exc\_info** -- An exception tuple with the current exception information, or `None` if no exception information is available.
- **func** -- The name of the function or method from which the logging call was invoked.
- **sinfo** -- A text string representing stack information from the base of the stack in the current thread, up to the logging call.
`getMessage`()Returns the message for this [`LogRecord`](#logging.LogRecord "logging.LogRecord") instance after merging any user-supplied arguments with the message. If the user-supplied message argument to the logging call is not a string, [`str()`](stdtypes.xhtml#str "str") is called on it to convert it to a string. This allows use of user-defined classes as messages, whose `__str__` method can return the actual format string to be used.
在 3.2 版更改: The creation of a `LogRecord` has been made more configurable by providing a factory which is used to create the record. The factory can be set using [`getLogRecordFactory()`](#logging.getLogRecordFactory "logging.getLogRecordFactory") and [`setLogRecordFactory()`](#logging.setLogRecordFactory "logging.setLogRecordFactory")(see this for the factory's signature).
This functionality can be used to inject your own values into a LogRecord at creation time. You can use the following pattern:
```
old_factory = logging.getLogRecordFactory()
def record_factory(*args, **kwargs):
record = old_factory(*args, **kwargs)
record.custom_attribute = 0xdecafbad
return record
logging.setLogRecordFactory(record_factory)
```
With this pattern, multiple factories could be chained, and as long as they don't overwrite each other's attributes or unintentionally overwrite the standard attributes listed above, there should be no surprises.
## LogRecord attributes
The LogRecord has a number of attributes, most of which are derived from the parameters to the constructor. (Note that the names do not always correspond exactly between the LogRecord constructor parameters and the LogRecord attributes.) These attributes can be used to merge data from the record into the format string. The following table lists (in alphabetical order) the attribute names, their meanings and the corresponding placeholder in a %-style format string.
If you are using {}-formatting ([`str.format()`](stdtypes.xhtml#str.format "str.format")), you can use `{attrname}` as the placeholder in the format string. If you are using $-formatting ([`string.Template`](string.xhtml#string.Template "string.Template")), use the form `${attrname}`. In both cases, of course, replace `attrname` with the actual attribute name you want to use.
In the case of {}-formatting, you can specify formatting flags by placing them after the attribute name, separated from it with a colon. For example: a placeholder of `{msecs:03d}` would format a millisecond value of `4` as `004`. Refer to the [`str.format()`](stdtypes.xhtml#str.format "str.format") documentation for full details on the options available to you.
属性名称
格式
描述
args
You shouldn't need to format this yourself.
The tuple of arguments merged into `msg` to produce `message`, or a dict whose values are used for the merge (when there is only one argument, and it is a dictionary).
asctime
`%(asctime)s`
Human-readable time when the [`LogRecord`](#logging.LogRecord "logging.LogRecord") was created. By default this is of the form '2003-07-08 16:49:45,896' (the numbers after the comma are millisecond portion of the time).
created
`%(created)f`
Time when the [`LogRecord`](#logging.LogRecord "logging.LogRecord") was created (as returned by [`time.time()`](time.xhtml#time.time "time.time")).
exc\_info
You shouldn't need to format this yourself.
Exception tuple (à la `sys.exc_info`) or, if no exception has occurred, `None`.
filename
`%(filename)s`
Filename portion of `pathname`.
funcName
`%(funcName)s`
Name of function containing the logging call.
levelname
`%(levelname)s`
Text logging level for the message (`'DEBUG'`, `'INFO'`, `'WARNING'`, `'ERROR'`, `'CRITICAL'`).
levelno
`%(levelno)s`
Numeric logging level for the message (`DEBUG`, `INFO`, `WARNING`, `ERROR`, `CRITICAL`).
lineno
`%(lineno)d`
Source line number where the logging call was issued (if available).
message
`%(message)s`
The logged message, computed as
```
msg %
args
```
. This is set when [`Formatter.format()`](#logging.Formatter.format "logging.Formatter.format") is invoked.
module
`%(module)s`
Module (name portion of `filename`).
msecs
`%(msecs)d`
Millisecond portion of the time when the [`LogRecord`](#logging.LogRecord "logging.LogRecord") was created.
msg
You shouldn't need to format this yourself.
The format string passed in the original logging call. Merged with `args` to produce `message`, or an arbitrary object (see [使用任意对象作为消息](../howto/logging.xhtml#arbitrary-object-messages)).
name
`%(name)s`
Name of the logger used to log the call.
pathname
`%(pathname)s`
Full pathname of the source file where the logging call was issued (if available).
process
`%(process)d`
Process ID (if available).
processName
`%(processName)s`
Process name (if available).
relativeCreated
`%(relativeCreated)d`
Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded.
stack\_info
You shouldn't need to format this yourself.
Stack frame information (where available) from the bottom of the stack in the current thread, up to and including the stack frame of the logging call which resulted in the creation of this record.
thread
`%(thread)d`
Thread ID (if available).
threadName
`%(threadName)s`
Thread name (if available).
在 3.1 版更改: *processName* was added.
## LoggerAdapter Objects
[`LoggerAdapter`](#logging.LoggerAdapter "logging.LoggerAdapter") instances are used to conveniently pass contextual information into logging calls. For a usage example, see the section on [adding contextual information to your logging output](../howto/logging-cookbook.xhtml#context-info).
*class* `logging.``LoggerAdapter`(*logger*, *extra*)Returns an instance of [`LoggerAdapter`](#logging.LoggerAdapter "logging.LoggerAdapter") initialized with an underlying [`Logger`](#logging.Logger "logging.Logger") instance and a dict-like object.
`process`(*msg*, *kwargs*)Modifies the message and/or keyword arguments passed to a logging call in order to insert contextual information. This implementation takes the object passed as *extra* to the constructor and adds it to *kwargs* using key 'extra'. The return value is a (*msg*, *kwargs*) tuple which has the (possibly modified) versions of the arguments passed in.
In addition to the above, [`LoggerAdapter`](#logging.LoggerAdapter "logging.LoggerAdapter") supports the following methods of [`Logger`](#logging.Logger "logging.Logger"): [`debug()`](#logging.Logger.debug "logging.Logger.debug"), [`info()`](#logging.Logger.info "logging.Logger.info"), [`warning()`](#logging.Logger.warning "logging.Logger.warning"), [`error()`](#logging.Logger.error "logging.Logger.error"), [`exception()`](#logging.Logger.exception "logging.Logger.exception"), [`critical()`](#logging.Logger.critical "logging.Logger.critical"), [`log()`](#logging.Logger.log "logging.Logger.log"), [`isEnabledFor()`](#logging.Logger.isEnabledFor "logging.Logger.isEnabledFor"), [`getEffectiveLevel()`](#logging.Logger.getEffectiveLevel "logging.Logger.getEffectiveLevel"), [`setLevel()`](#logging.Logger.setLevel "logging.Logger.setLevel") and [`hasHandlers()`](#logging.Logger.hasHandlers "logging.Logger.hasHandlers"). These methods have the same signatures as their counterparts in [`Logger`](#logging.Logger "logging.Logger"), so you can use the two types of instances interchangeably.
在 3.2 版更改: The [`isEnabledFor()`](#logging.Logger.isEnabledFor "logging.Logger.isEnabledFor"), [`getEffectiveLevel()`](#logging.Logger.getEffectiveLevel "logging.Logger.getEffectiveLevel"), [`setLevel()`](#logging.Logger.setLevel "logging.Logger.setLevel") and [`hasHandlers()`](#logging.Logger.hasHandlers "logging.Logger.hasHandlers") methods were added to [`LoggerAdapter`](#logging.LoggerAdapter "logging.LoggerAdapter"). These methods delegate to the underlying logger.
## 线程安全
The logging module is intended to be thread-safe without any special work needing to be done by its clients. It achieves this though using threading locks; there is one lock to serialize access to the module's shared data, and each handler also creates a lock to serialize access to its underlying I/O.
If you are implementing asynchronous signal handlers using the [`signal`](signal.xhtml#module-signal "signal: Set handlers for asynchronous events.")module, you may not be able to use logging from within such handlers. This is because lock implementations in the [`threading`](threading.xhtml#module-threading "threading: Thread-based parallelism.") module are not always re-entrant, and so cannot be invoked from such signal handlers.
## 模块级别函数
In addition to the classes described above, there are a number of module-level functions.
`logging.``getLogger`(*name=None*)Return a logger with the specified name or, if name is `None`, return a logger which is the root logger of the hierarchy. If specified, the name is typically a dot-separated hierarchical name like *'a'*, *'a.b'* or *'a.b.c.d'*. Choice of these names is entirely up to the developer who is using logging.
All calls to this function with a given name return the same logger instance. This means that logger instances never need to be passed between different parts of an application.
`logging.``getLoggerClass`()Return either the standard [`Logger`](#logging.Logger "logging.Logger") class, or the last class passed to [`setLoggerClass()`](#logging.setLoggerClass "logging.setLoggerClass"). This function may be called from within a new class definition, to ensure that installing a customized [`Logger`](#logging.Logger "logging.Logger") class will not undo customizations already applied by other code. For example:
```
class MyLogger(logging.getLoggerClass()):
# ... override behaviour here
```
`logging.``getLogRecordFactory`()Return a callable which is used to create a [`LogRecord`](#logging.LogRecord "logging.LogRecord").
3\.2 新版功能: This function has been provided, along with [`setLogRecordFactory()`](#logging.setLogRecordFactory "logging.setLogRecordFactory"), to allow developers more control over how the [`LogRecord`](#logging.LogRecord "logging.LogRecord")representing a logging event is constructed.
See [`setLogRecordFactory()`](#logging.setLogRecordFactory "logging.setLogRecordFactory") for more information about the how the factory is called.
`logging.``debug`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `DEBUG` on the root logger. The *msg* is the message format string, and the *args* are the arguments which are merged into *msg* using the string formatting operator. (Note that this means that you can use keywords in the format string, together with a single dictionary argument.)
There are three keyword arguments in *kwargs* which are inspected: *exc\_info*which, if it does not evaluate as false, causes exception information to be added to the logging message. If an exception tuple (in the format returned by [`sys.exc_info()`](sys.xhtml#sys.exc_info "sys.exc_info")) or an exception instance is provided, it is used; otherwise, [`sys.exc_info()`](sys.xhtml#sys.exc_info "sys.exc_info") is called to get the exception information.
The second optional keyword argument is *stack\_info*, which defaults to `False`. If true, stack information is added to the logging message, including the actual logging call. Note that this is not the same stack information as that displayed through specifying *exc\_info*: The former is stack frames from the bottom of the stack up to the logging call in the current thread, whereas the latter is information about stack frames which have been unwound, following an exception, while searching for exception handlers.
You can specify *stack\_info* independently of *exc\_info*, e.g. to just show how you got to a certain point in your code, even when no exceptions were raised. The stack frames are printed following a header line which says:
```
Stack (most recent call last):
```
This mimics the `Traceback (most recent call last):` which is used when displaying exception frames.
The third optional keyword argument is *extra* which can be used to pass a dictionary which is used to populate the \_\_dict\_\_ of the LogRecord created for the logging event with user-defined attributes. These custom attributes can then be used as you like. For example, they could be incorporated into logged messages. For example:
```
FORMAT = '%(asctime)-15s %(clientip)s %(user)-8s %(message)s'
logging.basicConfig(format=FORMAT)
d = {'clientip': '192.168.0.1', 'user': 'fbloggs'}
logging.warning('Protocol problem: %s', 'connection reset', extra=d)
```
would print something like:
```
2006-02-08 22:20:02,165 192.168.0.1 fbloggs Protocol problem: connection reset
```
The keys in the dictionary passed in *extra* should not clash with the keys used by the logging system. (See the [`Formatter`](#logging.Formatter "logging.Formatter") documentation for more information on which keys are used by the logging system.)
If you choose to use these attributes in logged messages, you need to exercise some care. In the above example, for instance, the [`Formatter`](#logging.Formatter "logging.Formatter") has been set up with a format string which expects 'clientip' and 'user' in the attribute dictionary of the LogRecord. If these are missing, the message will not be logged because a string formatting exception will occur. So in this case, you always need to pass the *extra* dictionary with these keys.
While this might be annoying, this feature is intended for use in specialized circumstances, such as multi-threaded servers where the same code executes in many contexts, and interesting conditions which arise are dependent on this context (such as remote client IP address and authenticated user name, in the above example). In such circumstances, it is likely that specialized [`Formatter`](#logging.Formatter "logging.Formatter")s would be used with particular [`Handler`](#logging.Handler "logging.Handler")s.
3\.2 新版功能: The *stack\_info* parameter was added.
`logging.``info`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `INFO` on the root logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`logging.``warning`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `WARNING` on the root logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
注解
There is an obsolete function `warn` which is functionally identical to `warning`. As `warn` is deprecated, please do not use it - use `warning` instead.
`logging.``error`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `ERROR` on the root logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`logging.``critical`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `CRITICAL` on the root logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
`logging.``exception`(*msg*, *\*args*, *\*\*kwargs*)Logs a message with level `ERROR` on the root logger. The arguments are interpreted as for [`debug()`](#logging.debug "logging.debug"). Exception info is added to the logging message. This function should only be called from an exception handler.
`logging.``log`(*level*, *msg*, *\*args*, *\*\*kwargs*)Logs a message with level *level* on the root logger. The other arguments are interpreted as for [`debug()`](#logging.debug "logging.debug").
注解
The above module-level convenience functions, which delegate to the root logger, call [`basicConfig()`](#logging.basicConfig "logging.basicConfig") to ensure that at least one handler is available. Because of this, they should *not* be used in threads, in versions of Python earlier than 2.7.1 and 3.2, unless at least one handler has been added to the root logger *before* the threads are started. In earlier versions of Python, due to a thread safety shortcoming in [`basicConfig()`](#logging.basicConfig "logging.basicConfig"), this can (under rare circumstances) lead to handlers being added multiple times to the root logger, which can in turn lead to multiple messages for the same event.
`logging.``disable`(*lvl=CRITICAL*)Provides an overriding level *lvl* for all loggers which takes precedence over the logger's own level. When the need arises to temporarily throttle logging output down across the whole application, this function can be useful. Its effect is to disable all logging calls of severity *lvl* and below, so that if you call it with a value of INFO, then all INFO and DEBUG events would be discarded, whereas those of severity WARNING and above would be processed according to the logger's effective level. If `logging.disable(logging.NOTSET)` is called, it effectively removes this overriding level, so that logging output again depends on the effective levels of individual loggers.
Note that if you have defined any custom logging level higher than `CRITICAL` (this is not recommended), you won't be able to rely on the default value for the *lvl* parameter, but will have to explicitly supply a suitable value.
在 3.7 版更改: The *lvl* parameter was defaulted to level `CRITICAL`. See Issue #28524 for more information about this change.
`logging.``addLevelName`(*lvl*, *levelName*)Associates level *lvl* with text *levelName* in an internal dictionary, which is used to map numeric levels to a textual representation, for example when a [`Formatter`](#logging.Formatter "logging.Formatter") formats a message. This function can also be used to define your own levels. The only constraints are that all levels used must be registered using this function, levels should be positive integers and they should increase in increasing order of severity.
注解
If you are thinking of defining your own levels, please see the section on [自定义级别](../howto/logging.xhtml#custom-levels).
`logging.``getLevelName`(*lvl*)Returns the textual representation of logging level *lvl*. If the level is one of the predefined levels `CRITICAL`, `ERROR`, `WARNING`, `INFO` or `DEBUG` then you get the corresponding string. If you have associated levels with names using [`addLevelName()`](#logging.addLevelName "logging.addLevelName") then the name you have associated with *lvl* is returned. If a numeric value corresponding to one of the defined levels is passed in, the corresponding string representation is returned. Otherwise, the string 'Level %s' % lvl is returned.
注解
Levels are internally integers (as they need to be compared in the logging logic). This function is used to convert between an integer level and the level name displayed in the formatted log output by means of the `%(levelname)s` format specifier (see [LogRecord attributes](#logrecord-attributes)).
在 3.4 版更改: In Python versions earlier than 3.4, this function could also be passed a text level, and would return the corresponding numeric value of the level. This undocumented behaviour was considered a mistake, and was removed in Python 3.4, but reinstated in 3.4.2 due to retain backward compatibility.
`logging.``makeLogRecord`(*attrdict*)Creates and returns a new [`LogRecord`](#logging.LogRecord "logging.LogRecord") instance whose attributes are defined by *attrdict*. This function is useful for taking a pickled [`LogRecord`](#logging.LogRecord "logging.LogRecord") attribute dictionary, sent over a socket, and reconstituting it as a [`LogRecord`](#logging.LogRecord "logging.LogRecord") instance at the receiving end.
`logging.``basicConfig`(*\*\*kwargs*)Does basic configuration for the logging system by creating a [`StreamHandler`](logging.handlers.xhtml#logging.StreamHandler "logging.StreamHandler") with a default [`Formatter`](#logging.Formatter "logging.Formatter") and adding it to the root logger. The functions [`debug()`](#logging.debug "logging.debug"), [`info()`](#logging.info "logging.info"), [`warning()`](#logging.warning "logging.warning"), [`error()`](#logging.error "logging.error") and [`critical()`](#logging.critical "logging.critical") will call [`basicConfig()`](#logging.basicConfig "logging.basicConfig") automatically if no handlers are defined for the root logger.
This function does nothing if the root logger already has handlers configured for it.
注解
This function should be called from the main thread before other threads are started. In versions of Python prior to 2.7.1 and 3.2, if this function is called from multiple threads, it is possible (in rare circumstances) that a handler will be added to the root logger more than once, leading to unexpected results such as messages being duplicated in the log.
The following keyword arguments are supported.
格式
描述
*filename*
Specifies that a FileHandler be created, using the specified filename, rather than a StreamHandler.
*filemode*
If *filename* is specified, open the file in this [mode](functions.xhtml#filemodes). Defaults to `'a'`.
*format*
Use the specified format string for the handler.
*datefmt*
Use the specified date/time format, as accepted by [`time.strftime()`](time.xhtml#time.strftime "time.strftime").
*style*
If *format* is specified, use this style for the format string. One of `'%'`, `'{'` or `'$'` for [printf-style](stdtypes.xhtml#old-string-formatting), [`str.format()`](stdtypes.xhtml#str.format "str.format") or [`string.Template`](string.xhtml#string.Template "string.Template") respectively. Defaults to `'%'`.
*level*
Set the root logger level to the specified [level](#levels).
*stream*
Use the specified stream to initialize the StreamHandler. Note that this argument is incompatible with *filename* - if both are present, a `ValueError` is raised.
*handlers*
If specified, this should be an iterable of already created handlers to add to the root logger. Any handlers which don't already have a formatter set will be assigned the default formatter created in this function. Note that this argument is incompatible with *filename* or *stream* - if both are present, a `ValueError` is raised.
在 3.2 版更改: The *style* argument was added.
在 3.3 版更改: The *handlers* argument was added. Additional checks were added to catch situations where incompatible arguments are specified (e.g. *handlers* together with *stream* or *filename*, or *stream*together with *filename*).
`logging.``shutdown`()Informs the logging system to perform an orderly shutdown by flushing and closing all handlers. This should be called at application exit and no further use of the logging system should be made after this call.
`logging.``setLoggerClass`(*klass*)Tells the logging system to use the class *klass* when instantiating a logger. The class should define [`__init__()`](../reference/datamodel.xhtml#object.__init__ "object.__init__") such that only a name argument is required, and the [`__init__()`](../reference/datamodel.xhtml#object.__init__ "object.__init__") should call `Logger.__init__()`. This function is typically called before any loggers are instantiated by applications which need to use custom logger behavior.
`logging.``setLogRecordFactory`(*factory*)Set a callable which is used to create a [`LogRecord`](#logging.LogRecord "logging.LogRecord").
参数**factory** -- The factory callable to be used to instantiate a log record.
3\.2 新版功能: This function has been provided, along with [`getLogRecordFactory()`](#logging.getLogRecordFactory "logging.getLogRecordFactory"), to allow developers more control over how the [`LogRecord`](#logging.LogRecord "logging.LogRecord") representing a logging event is constructed.
The factory has the following signature:
`factory(name, level, fn, lno, msg, args, exc_info, func=None, sinfo=None, **kwargs)`
> nameThe logger name.
>
> levelThe logging level (numeric).
>
> fnThe full pathname of the file where the logging call was made.
>
> lnoThe line number in the file where the logging call was made.
>
> msgThe logging message.
>
> argsThe arguments for the logging message.
>
> exc\_infoAn exception tuple, or `None`.
>
> funcThe name of the function or method which invoked the logging call.
>
> sinfoA stack traceback such as is provided by [`traceback.print_stack()`](traceback.xhtml#traceback.print_stack "traceback.print_stack"), showing the call hierarchy.
>
> kwargsAdditional keyword arguments.
## Module-Level Attributes
`logging.``lastResort`A "handler of last resort" is available through this attribute. This is a [`StreamHandler`](logging.handlers.xhtml#logging.StreamHandler "logging.StreamHandler") writing to `sys.stderr` with a level of `WARNING`, and is used to handle logging events in the absence of any logging configuration. The end result is to just print the message to `sys.stderr`. This replaces the earlier error message saying that "no handlers could be found for logger XYZ". If you need the earlier behaviour for some reason, `lastResort` can be set to `None`.
3\.2 新版功能.
## Integration with the warnings module
The [`captureWarnings()`](#logging.captureWarnings "logging.captureWarnings") function can be used to integrate [`logging`](#module-logging "logging: Flexible event logging system for applications.")with the [`warnings`](warnings.xhtml#module-warnings "warnings: Issue warning messages and control their disposition.") module.
`logging.``captureWarnings`(*capture*)This function is used to turn the capture of warnings by logging on and off.
If *capture* is `True`, warnings issued by the [`warnings`](warnings.xhtml#module-warnings "warnings: Issue warning messages and control their disposition.") module will be redirected to the logging system. Specifically, a warning will be formatted using [`warnings.formatwarning()`](warnings.xhtml#warnings.formatwarning "warnings.formatwarning") and the resulting string logged to a logger named `'py.warnings'` with a severity of `WARNING`.
If *capture* is `False`, the redirection of warnings to the logging system will stop, and warnings will be redirected to their original destinations (i.e. those in effect before `captureWarnings(True)` was called).
参见
模块 [`logging.config`](logging.config.xhtml#module-logging.config "logging.config: Configuration of the logging module.")日志记录模块的配置 API 。
模块 [`logging.handlers`](logging.handlers.xhtml#module-logging.handlers "logging.handlers: Handlers for the logging module.")日志记录模块附带的有用处理程序。
[**PEP 282**](https://www.python.org/dev/peps/pep-0282) \[https://www.python.org/dev/peps/pep-0282\] - A Logging System该提案描述了Python标准库中包含的这个特性。
[Original Python logging package](https://www.red-dove.com/python_logging.html) \[https://www.red-dove.com/python\_logging.html\]This is the original source for the [`logging`](#module-logging "logging: Flexible event logging system for applications.") package. The version of the package available from this site is suitable for use with Python 1.5.2, 2.1.x and 2.2.x, which do not include the [`logging`](#module-logging "logging: Flexible event logging system for applications.") package in the standard library.
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- PEP 372: Ordered Dictionaries
- PEP 378: Format Specifier for Thousands Separator
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- 性能优化
- IDLE
- Build and C API Changes
- Porting to Python 3.1
- What's New In Python 3.0
- Common Stumbling Blocks
- Overview Of Syntax Changes
- Changes Already Present In Python 2.6
- Library Changes
- PEP 3101: A New Approach To String Formatting
- Changes To Exceptions
- Miscellaneous Other Changes
- Build and C API Changes
- 性能
- Porting To Python 3.0
- What's New in Python 2.7
- The Future for Python 2.x
- Changes to the Handling of Deprecation Warnings
- Python 3.1 Features
- PEP 372: Adding an Ordered Dictionary to collections
- PEP 378: Format Specifier for Thousands Separator
- PEP 389: The argparse Module for Parsing Command Lines
- PEP 391: Dictionary-Based Configuration For Logging
- PEP 3106: Dictionary Views
- PEP 3137: The memoryview Object
- 其他语言特性修改
- New and Improved Modules
- Build and C API Changes
- Other Changes and Fixes
- Porting to Python 2.7
- New Features Added to Python 2.7 Maintenance Releases
- Acknowledgements
- Python 2.6 有什么新变化
- Python 3.0
- Changes to the Development Process
- PEP 343: The 'with' statement
- PEP 366: Explicit Relative Imports From a Main Module
- PEP 370: Per-user site-packages Directory
- PEP 371: The multiprocessing Package
- PEP 3101: Advanced String Formatting
- PEP 3105: print As a Function
- PEP 3110: Exception-Handling Changes
- PEP 3112: Byte Literals
- PEP 3116: New I/O Library
- PEP 3118: Revised Buffer Protocol
- PEP 3119: Abstract Base Classes
- PEP 3127: Integer Literal Support and Syntax
- PEP 3129: Class Decorators
- PEP 3141: A Type Hierarchy for Numbers
- 其他语言特性修改
- New and Improved Modules
- Deprecations and Removals
- Build and C API Changes
- Porting to Python 2.6
- Acknowledgements
- What's New in Python 2.5
- PEP 308: Conditional Expressions
- PEP 309: Partial Function Application
- PEP 314: Metadata for Python Software Packages v1.1
- PEP 328: Absolute and Relative Imports
- PEP 338: Executing Modules as Scripts
- PEP 341: Unified try/except/finally
- PEP 342: New Generator Features
- PEP 343: The 'with' statement
- PEP 352: Exceptions as New-Style Classes
- PEP 353: Using ssize_t as the index type
- PEP 357: The 'index' method
- 其他语言特性修改
- New, Improved, and Removed Modules
- Build and C API Changes
- Porting to Python 2.5
- Acknowledgements
- What's New in Python 2.4
- PEP 218: Built-In Set Objects
- PEP 237: Unifying Long Integers and Integers
- PEP 289: Generator Expressions
- PEP 292: Simpler String Substitutions
- PEP 318: Decorators for Functions and Methods
- PEP 322: Reverse Iteration
- PEP 324: New subprocess Module
- PEP 327: Decimal Data Type
- PEP 328: Multi-line Imports
- PEP 331: Locale-Independent Float/String Conversions
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- Build and C API Changes
- Porting to Python 2.4
- Acknowledgements
- What's New in Python 2.3
- PEP 218: A Standard Set Datatype
- PEP 255: Simple Generators
- PEP 263: Source Code Encodings
- PEP 273: Importing Modules from ZIP Archives
- PEP 277: Unicode file name support for Windows NT
- PEP 278: Universal Newline Support
- PEP 279: enumerate()
- PEP 282: The logging Package
- PEP 285: A Boolean Type
- PEP 293: Codec Error Handling Callbacks
- PEP 301: Package Index and Metadata for Distutils
- PEP 302: New Import Hooks
- PEP 305: Comma-separated Files
- PEP 307: Pickle Enhancements
- Extended Slices
- 其他语言特性修改
- New, Improved, and Deprecated Modules
- Pymalloc: A Specialized Object Allocator
- Build and C API Changes
- Other Changes and Fixes
- Porting to Python 2.3
- Acknowledgements
- What's New in Python 2.2
- 概述
- PEPs 252 and 253: Type and Class Changes
- PEP 234: Iterators
- PEP 255: Simple Generators
- PEP 237: Unifying Long Integers and Integers
- PEP 238: Changing the Division Operator
- Unicode Changes
- PEP 227: Nested Scopes
- New and Improved Modules
- Interpreter Changes and Fixes
- Other Changes and Fixes
- Acknowledgements
- What's New in Python 2.1
- 概述
- PEP 227: Nested Scopes
- PEP 236: future Directives
- PEP 207: Rich Comparisons
- PEP 230: Warning Framework
- PEP 229: New Build System
- PEP 205: Weak References
- PEP 232: Function Attributes
- PEP 235: Importing Modules on Case-Insensitive Platforms
- PEP 217: Interactive Display Hook
- PEP 208: New Coercion Model
- PEP 241: Metadata in Python Packages
- New and Improved Modules
- Other Changes and Fixes
- Acknowledgements
- What's New in Python 2.0
- 概述
- What About Python 1.6?
- New Development Process
- Unicode
- 列表推导式
- Augmented Assignment
- 字符串的方法
- Garbage Collection of Cycles
- Other Core Changes
- Porting to 2.0
- Extending/Embedding Changes
- Distutils: Making Modules Easy to Install
- XML Modules
- Module changes
- New modules
- IDLE Improvements
- Deleted and Deprecated Modules
- Acknowledgements
- 更新日志
- Python 下一版
- Python 3.7.3 最终版
- Python 3.7.3 发布候选版 1
- Python 3.7.2 最终版
- Python 3.7.2 发布候选版 1
- Python 3.7.1 最终版
- Python 3.7.1 RC 2版本
- Python 3.7.1 发布候选版 1
- Python 3.7.0 正式版
- Python 3.7.0 release candidate 1
- Python 3.7.0 beta 5
- Python 3.7.0 beta 4
- Python 3.7.0 beta 3
- Python 3.7.0 beta 2
- Python 3.7.0 beta 1
- Python 3.7.0 alpha 4
- Python 3.7.0 alpha 3
- Python 3.7.0 alpha 2
- Python 3.7.0 alpha 1
- Python 3.6.6 final
- Python 3.6.6 RC 1
- Python 3.6.5 final
- Python 3.6.5 release candidate 1
- Python 3.6.4 final
- Python 3.6.4 release candidate 1
- Python 3.6.3 final
- Python 3.6.3 release candidate 1
- Python 3.6.2 final
- Python 3.6.2 release candidate 2
- Python 3.6.2 release candidate 1
- Python 3.6.1 final
- Python 3.6.1 release candidate 1
- Python 3.6.0 final
- Python 3.6.0 release candidate 2
- Python 3.6.0 release candidate 1
- Python 3.6.0 beta 4
- Python 3.6.0 beta 3
- Python 3.6.0 beta 2
- Python 3.6.0 beta 1
- Python 3.6.0 alpha 4
- Python 3.6.0 alpha 3
- Python 3.6.0 alpha 2
- Python 3.6.0 alpha 1
- Python 3.5.5 final
- Python 3.5.5 release candidate 1
- Python 3.5.4 final
- Python 3.5.4 release candidate 1
- Python 3.5.3 final
- Python 3.5.3 release candidate 1
- Python 3.5.2 final
- Python 3.5.2 release candidate 1
- Python 3.5.1 final
- Python 3.5.1 release candidate 1
- Python 3.5.0 final
- Python 3.5.0 release candidate 4
- Python 3.5.0 release candidate 3
- Python 3.5.0 release candidate 2
- Python 3.5.0 release candidate 1
- Python 3.5.0 beta 4
- Python 3.5.0 beta 3
- Python 3.5.0 beta 2
- Python 3.5.0 beta 1
- Python 3.5.0 alpha 4
- Python 3.5.0 alpha 3
- Python 3.5.0 alpha 2
- Python 3.5.0 alpha 1
- Python 教程
- 课前甜点
- 使用 Python 解释器
- 调用解释器
- 解释器的运行环境
- Python 的非正式介绍
- Python 作为计算器使用
- 走向编程的第一步
- 其他流程控制工具
- if 语句
- for 语句
- range() 函数
- break 和 continue 语句,以及循环中的 else 子句
- pass 语句
- 定义函数
- 函数定义的更多形式
- 小插曲:编码风格
- 数据结构
- 列表的更多特性
- del 语句
- 元组和序列
- 集合
- 字典
- 循环的技巧
- 深入条件控制
- 序列和其它类型的比较
- 模块
- 有关模块的更多信息
- 标准模块
- dir() 函数
- 包
- 输入输出
- 更漂亮的输出格式
- 读写文件
- 错误和异常
- 语法错误
- 异常
- 处理异常
- 抛出异常
- 用户自定义异常
- 定义清理操作
- 预定义的清理操作
- 类
- 名称和对象
- Python 作用域和命名空间
- 初探类
- 补充说明
- 继承
- 私有变量
- 杂项说明
- 迭代器
- 生成器
- 生成器表达式
- 标准库简介
- 操作系统接口
- 文件通配符
- 命令行参数
- 错误输出重定向和程序终止
- 字符串模式匹配
- 数学
- 互联网访问
- 日期和时间
- 数据压缩
- 性能测量
- 质量控制
- 自带电池
- 标准库简介 —— 第二部分
- 格式化输出
- 模板
- 使用二进制数据记录格式
- 多线程
- 日志
- 弱引用
- 用于操作列表的工具
- 十进制浮点运算
- 虚拟环境和包
- 概述
- 创建虚拟环境
- 使用pip管理包
- 接下来?
- 交互式编辑和编辑历史
- Tab 补全和编辑历史
- 默认交互式解释器的替代品
- 浮点算术:争议和限制
- 表示性错误
- 附录
- 交互模式
- 安装和使用 Python
- 命令行与环境
- 命令行
- 环境变量
- 在Unix平台中使用Python
- 获取最新版本的Python
- 构建Python
- 与Python相关的路径和文件
- 杂项
- 编辑器和集成开发环境
- 在Windows上使用 Python
- 完整安装程序
- Microsoft Store包
- nuget.org 安装包
- 可嵌入的包
- 替代捆绑包
- 配置Python
- 适用于Windows的Python启动器
- 查找模块
- 附加模块
- 在Windows上编译Python
- 其他平台
- 在苹果系统上使用 Python
- 获取和安装 MacPython
- IDE
- 安装额外的 Python 包
- Mac 上的图形界面编程
- 在 Mac 上分发 Python 应用程序
- 其他资源
- Python 语言参考
- 概述
- 其他实现
- 标注
- 词法分析
- 行结构
- 其他形符
- 标识符和关键字
- 字面值
- 运算符
- 分隔符
- 数据模型
- 对象、值与类型
- 标准类型层级结构
- 特殊方法名称
- 协程
- 执行模型
- 程序的结构
- 命名与绑定
- 异常
- 导入系统
- importlib
- 包
- 搜索
- 加载
- 基于路径的查找器
- 替换标准导入系统
- Package Relative Imports
- 有关 main 的特殊事项
- 开放问题项
- 参考文献
- 表达式
- 算术转换
- 原子
- 原型
- await 表达式
- 幂运算符
- 一元算术和位运算
- 二元算术运算符
- 移位运算
- 二元位运算
- 比较运算
- 布尔运算
- 条件表达式
- lambda 表达式
- 表达式列表
- 求值顺序
- 运算符优先级
- 简单语句
- 表达式语句
- 赋值语句
- assert 语句
- pass 语句
- del 语句
- return 语句
- yield 语句
- raise 语句
- break 语句
- continue 语句
- import 语句
- global 语句
- nonlocal 语句
- 复合语句
- if 语句
- while 语句
- for 语句
- try 语句
- with 语句
- 函数定义
- 类定义
- 协程
- 最高层级组件
- 完整的 Python 程序
- 文件输入
- 交互式输入
- 表达式输入
- 完整的语法规范
- Python 标准库
- 概述
- 可用性注释
- 内置函数
- 内置常量
- 由 site 模块添加的常量
- 内置类型
- 逻辑值检测
- 布尔运算 — and, or, not
- 比较
- 数字类型 — int, float, complex
- 迭代器类型
- 序列类型 — list, tuple, range
- 文本序列类型 — str
- 二进制序列类型 — bytes, bytearray, memoryview
- 集合类型 — set, frozenset
- 映射类型 — dict
- 上下文管理器类型
- 其他内置类型
- 特殊属性
- 内置异常
- 基类
- 具体异常
- 警告
- 异常层次结构
- 文本处理服务
- string — 常见的字符串操作
- re — 正则表达式操作
- 模块 difflib 是一个计算差异的助手
- textwrap — Text wrapping and filling
- unicodedata — Unicode 数据库
- stringprep — Internet String Preparation
- readline — GNU readline interface
- rlcompleter — GNU readline的完成函数
- 二进制数据服务
- struct — Interpret bytes as packed binary data
- codecs — Codec registry and base classes
- 数据类型
- datetime — 基础日期/时间数据类型
- calendar — General calendar-related functions
- collections — 容器数据类型
- collections.abc — 容器的抽象基类
- heapq — 堆队列算法
- bisect — Array bisection algorithm
- array — Efficient arrays of numeric values
- weakref — 弱引用
- types — Dynamic type creation and names for built-in types
- copy — 浅层 (shallow) 和深层 (deep) 复制操作
- pprint — 数据美化输出
- reprlib — Alternate repr() implementation
- enum — Support for enumerations
- 数字和数学模块
- numbers — 数字的抽象基类
- math — 数学函数
- cmath — Mathematical functions for complex numbers
- decimal — 十进制定点和浮点运算
- fractions — 分数
- random — 生成伪随机数
- statistics — Mathematical statistics functions
- 函数式编程模块
- itertools — 为高效循环而创建迭代器的函数
- functools — 高阶函数和可调用对象上的操作
- operator — 标准运算符替代函数
- 文件和目录访问
- pathlib — 面向对象的文件系统路径
- os.path — 常见路径操作
- fileinput — Iterate over lines from multiple input streams
- stat — Interpreting stat() results
- filecmp — File and Directory Comparisons
- tempfile — Generate temporary files and directories
- glob — Unix style pathname pattern expansion
- fnmatch — Unix filename pattern matching
- linecache — Random access to text lines
- shutil — High-level file operations
- macpath — Mac OS 9 路径操作函数
- 数据持久化
- pickle —— Python 对象序列化
- copyreg — Register pickle support functions
- shelve — Python object persistence
- marshal — Internal Python object serialization
- dbm — Interfaces to Unix “databases”
- sqlite3 — SQLite 数据库 DB-API 2.0 接口模块
- 数据压缩和存档
- zlib — 与 gzip 兼容的压缩
- gzip — 对 gzip 格式的支持
- bz2 — 对 bzip2 压缩算法的支持
- lzma — 用 LZMA 算法压缩
- zipfile — 在 ZIP 归档中工作
- tarfile — Read and write tar archive files
- 文件格式
- csv — CSV 文件读写
- configparser — Configuration file parser
- netrc — netrc file processing
- xdrlib — Encode and decode XDR data
- plistlib — Generate and parse Mac OS X .plist files
- 加密服务
- hashlib — 安全哈希与消息摘要
- hmac — 基于密钥的消息验证
- secrets — Generate secure random numbers for managing secrets
- 通用操作系统服务
- os — 操作系统接口模块
- io — 处理流的核心工具
- time — 时间的访问和转换
- argparse — 命令行选项、参数和子命令解析器
- getopt — C-style parser for command line options
- 模块 logging — Python 的日志记录工具
- logging.config — 日志记录配置
- logging.handlers — Logging handlers
- getpass — 便携式密码输入工具
- curses — 终端字符单元显示的处理
- curses.textpad — Text input widget for curses programs
- curses.ascii — Utilities for ASCII characters
- curses.panel — A panel stack extension for curses
- platform — Access to underlying platform's identifying data
- errno — Standard errno system symbols
- ctypes — Python 的外部函数库
- 并发执行
- threading — 基于线程的并行
- multiprocessing — 基于进程的并行
- concurrent 包
- concurrent.futures — 启动并行任务
- subprocess — 子进程管理
- sched — 事件调度器
- queue — 一个同步的队列类
- _thread — 底层多线程 API
- _dummy_thread — _thread 的替代模块
- dummy_threading — 可直接替代 threading 模块。
- contextvars — Context Variables
- Context Variables
- Manual Context Management
- asyncio support
- 网络和进程间通信
- asyncio — 异步 I/O
- socket — 底层网络接口
- ssl — TLS/SSL wrapper for socket objects
- select — Waiting for I/O completion
- selectors — 高级 I/O 复用库
- asyncore — 异步socket处理器
- asynchat — 异步 socket 指令/响应 处理器
- signal — Set handlers for asynchronous events
- mmap — Memory-mapped file support
- 互联网数据处理
- email — 电子邮件与 MIME 处理包
- json — JSON 编码和解码器
- mailcap — Mailcap file handling
- mailbox — Manipulate mailboxes in various formats
- mimetypes — Map filenames to MIME types
- base64 — Base16, Base32, Base64, Base85 数据编码
- binhex — 对binhex4文件进行编码和解码
- binascii — 二进制和 ASCII 码互转
- quopri — Encode and decode MIME quoted-printable data
- uu — Encode and decode uuencode files
- 结构化标记处理工具
- html — 超文本标记语言支持
- html.parser — 简单的 HTML 和 XHTML 解析器
- html.entities — HTML 一般实体的定义
- XML处理模块
- xml.etree.ElementTree — The ElementTree XML API
- xml.dom — The Document Object Model API
- xml.dom.minidom — Minimal DOM implementation
- xml.dom.pulldom — Support for building partial DOM trees
- xml.sax — Support for SAX2 parsers
- xml.sax.handler — Base classes for SAX handlers
- xml.sax.saxutils — SAX Utilities
- xml.sax.xmlreader — Interface for XML parsers
- xml.parsers.expat — Fast XML parsing using Expat
- 互联网协议和支持
- webbrowser — 方便的Web浏览器控制器
- cgi — Common Gateway Interface support
- cgitb — Traceback manager for CGI scripts
- wsgiref — WSGI Utilities and Reference Implementation
- urllib — URL 处理模块
- urllib.request — 用于打开 URL 的可扩展库
- urllib.response — Response classes used by urllib
- urllib.parse — Parse URLs into components
- urllib.error — Exception classes raised by urllib.request
- urllib.robotparser — Parser for robots.txt
- http — HTTP 模块
- http.client — HTTP协议客户端
- ftplib — FTP protocol client
- poplib — POP3 protocol client
- imaplib — IMAP4 protocol client
- nntplib — NNTP protocol client
- smtplib —SMTP协议客户端
- smtpd — SMTP Server
- telnetlib — Telnet client
- uuid — UUID objects according to RFC 4122
- socketserver — A framework for network servers
- http.server — HTTP 服务器
- http.cookies — HTTP state management
- http.cookiejar — Cookie handling for HTTP clients
- xmlrpc — XMLRPC 服务端与客户端模块
- xmlrpc.client — XML-RPC client access
- xmlrpc.server — Basic XML-RPC servers
- ipaddress — IPv4/IPv6 manipulation library
- 多媒体服务
- audioop — Manipulate raw audio data
- aifc — Read and write AIFF and AIFC files
- sunau — 读写 Sun AU 文件
- wave — 读写WAV格式文件
- chunk — Read IFF chunked data
- colorsys — Conversions between color systems
- imghdr — 推测图像类型
- sndhdr — 推测声音文件的类型
- ossaudiodev — Access to OSS-compatible audio devices
- 国际化
- gettext — 多语种国际化服务
- locale — 国际化服务
- 程序框架
- turtle — 海龟绘图
- cmd — 支持面向行的命令解释器
- shlex — Simple lexical analysis
- Tk图形用户界面(GUI)
- tkinter — Tcl/Tk的Python接口
- tkinter.ttk — Tk themed widgets
- tkinter.tix — Extension widgets for Tk
- tkinter.scrolledtext — 滚动文字控件
- IDLE
- 其他图形用户界面(GUI)包
- 开发工具
- typing — 类型标注支持
- pydoc — Documentation generator and online help system
- doctest — Test interactive Python examples
- unittest — 单元测试框架
- unittest.mock — mock object library
- unittest.mock 上手指南
- 2to3 - 自动将 Python 2 代码转为 Python 3 代码
- test — Regression tests package for Python
- test.support — Utilities for the Python test suite
- test.support.script_helper — Utilities for the Python execution tests
- 调试和分析
- bdb — Debugger framework
- faulthandler — Dump the Python traceback
- pdb — The Python Debugger
- The Python Profilers
- timeit — 测量小代码片段的执行时间
- trace — Trace or track Python statement execution
- tracemalloc — Trace memory allocations
- 软件打包和分发
- distutils — 构建和安装 Python 模块
- ensurepip — Bootstrapping the pip installer
- venv — 创建虚拟环境
- zipapp — Manage executable Python zip archives
- Python运行时服务
- sys — 系统相关的参数和函数
- sysconfig — Provide access to Python's configuration information
- builtins — 内建对象
- main — 顶层脚本环境
- warnings — Warning control
- dataclasses — 数据类
- contextlib — Utilities for with-statement contexts
- abc — 抽象基类
- atexit — 退出处理器
- traceback — Print or retrieve a stack traceback
- future — Future 语句定义
- gc — 垃圾回收器接口
- inspect — 检查对象
- site — Site-specific configuration hook
- 自定义 Python 解释器
- code — Interpreter base classes
- codeop — Compile Python code
- 导入模块
- zipimport — Import modules from Zip archives
- pkgutil — Package extension utility
- modulefinder — 查找脚本使用的模块
- runpy — Locating and executing Python modules
- importlib — The implementation of import
- Python 语言服务
- parser — Access Python parse trees
- ast — 抽象语法树
- symtable — Access to the compiler's symbol tables
- symbol — 与 Python 解析树一起使用的常量
- token — 与Python解析树一起使用的常量
- keyword — 检验Python关键字
- tokenize — Tokenizer for Python source
- tabnanny — 模糊缩进检测
- pyclbr — Python class browser support
- py_compile — Compile Python source files
- compileall — Byte-compile Python libraries
- dis — Python 字节码反汇编器
- pickletools — Tools for pickle developers
- 杂项服务
- formatter — Generic output formatting
- Windows系统相关模块
- msilib — Read and write Microsoft Installer files
- msvcrt — Useful routines from the MS VC++ runtime
- winreg — Windows 注册表访问
- winsound — Sound-playing interface for Windows
- Unix 专有服务
- posix — The most common POSIX system calls
- pwd — 用户密码数据库
- spwd — The shadow password database
- grp — The group database
- crypt — Function to check Unix passwords
- termios — POSIX style tty control
- tty — 终端控制功能
- pty — Pseudo-terminal utilities
- fcntl — The fcntl and ioctl system calls
- pipes — Interface to shell pipelines
- resource — Resource usage information
- nis — Interface to Sun's NIS (Yellow Pages)
- Unix syslog 库例程
- 被取代的模块
- optparse — Parser for command line options
- imp — Access the import internals
- 未创建文档的模块
- 平台特定模块
- 扩展和嵌入 Python 解释器
- 推荐的第三方工具
- 不使用第三方工具创建扩展
- 使用 C 或 C++ 扩展 Python
- 自定义扩展类型:教程
- 定义扩展类型:已分类主题
- 构建C/C++扩展
- 在Windows平台编译C和C++扩展
- 在更大的应用程序中嵌入 CPython 运行时
- Embedding Python in Another Application
- Python/C API 参考手册
- 概述
- 代码标准
- 包含文件
- 有用的宏
- 对象、类型和引用计数
- 异常
- 嵌入Python
- 调试构建
- 稳定的应用程序二进制接口
- The Very High Level Layer
- Reference Counting
- 异常处理
- Printing and clearing
- 抛出异常
- Issuing warnings
- Querying the error indicator
- Signal Handling
- Exception Classes
- Exception Objects
- Unicode Exception Objects
- Recursion Control
- 标准异常
- 标准警告类别
- 工具
- 操作系统实用程序
- 系统功能
- 过程控制
- 导入模块
- Data marshalling support
- 语句解释及变量编译
- 字符串转换与格式化
- 反射
- 编解码器注册与支持功能
- 抽象对象层
- Object Protocol
- 数字协议
- Sequence Protocol
- Mapping Protocol
- 迭代器协议
- 缓冲协议
- Old Buffer Protocol
- 具体的对象层
- 基本对象
- 数值对象
- 序列对象
- 容器对象
- 函数对象
- 其他对象
- Initialization, Finalization, and Threads
- 在Python初始化之前
- 全局配置变量
- Initializing and finalizing the interpreter
- Process-wide parameters
- Thread State and the Global Interpreter Lock
- Sub-interpreter support
- Asynchronous Notifications
- Profiling and Tracing
- Advanced Debugger Support
- Thread Local Storage Support
- 内存管理
- 概述
- 原始内存接口
- Memory Interface
- 对象分配器
- 默认内存分配器
- Customize Memory Allocators
- The pymalloc allocator
- tracemalloc C API
- 示例
- 对象实现支持
- 在堆中分配对象
- Common Object Structures
- Type 对象
- Number Object Structures
- Mapping Object Structures
- Sequence Object Structures
- Buffer Object Structures
- Async Object Structures
- 使对象类型支持循环垃圾回收
- API 和 ABI 版本管理
- 分发 Python 模块
- 关键术语
- 开源许可与协作
- 安装工具
- 阅读指南
- 我该如何...?
- ...为我的项目选择一个名字?
- ...创建和分发二进制扩展?
- 安装 Python 模块
- 关键术语
- 基本使用
- 我应如何 ...?
- ... 在 Python 3.4 之前的 Python 版本中安装 pip ?
- ... 只为当前用户安装软件包?
- ... 安装科学计算类 Python 软件包?
- ... 使用并行安装的多个 Python 版本?
- 常见的安装问题
- 在 Linux 的系统 Python 版本上安装
- 未安装 pip
- 安装二进制编译扩展
- Python 常用指引
- 将 Python 2 代码迁移到 Python 3
- 简要说明
- 详情
- 将扩展模块移植到 Python 3
- 条件编译
- 对象API的更改
- 模块初始化和状态
- CObject 替换为 Capsule
- 其他选项
- Curses Programming with Python
- What is curses?
- Starting and ending a curses application
- Windows and Pads
- Displaying Text
- User Input
- For More Information
- 实现描述器
- 摘要
- 定义和简介
- 描述器协议
- 发起调用描述符
- 描述符示例
- Properties
- 函数和方法
- Static Methods and Class Methods
- 函数式编程指引
- 概述
- 迭代器
- 生成器表达式和列表推导式
- 生成器
- 内置函数
- itertools 模块
- The functools module
- Small functions and the lambda expression
- Revision History and Acknowledgements
- 引用文献
- 日志 HOWTO
- 日志基础教程
- 进阶日志教程
- 日志级别
- 有用的处理程序
- 记录日志中引发的异常
- 使用任意对象作为消息
- 优化
- 日志操作手册
- 在多个模块中使用日志
- 在多线程中使用日志
- 使用多个日志处理器和多种格式化
- 在多个地方记录日志
- 日志服务器配置示例
- 处理日志处理器的阻塞
- Sending and receiving logging events across a network
- Adding contextual information to your logging output
- Logging to a single file from multiple processes
- Using file rotation
- Use of alternative formatting styles
- Customizing LogRecord
- Subclassing QueueHandler - a ZeroMQ example
- Subclassing QueueListener - a ZeroMQ example
- An example dictionary-based configuration
- Using a rotator and namer to customize log rotation processing
- A more elaborate multiprocessing example
- Inserting a BOM into messages sent to a SysLogHandler
- Implementing structured logging
- Customizing handlers with dictConfig()
- Using particular formatting styles throughout your application
- Configuring filters with dictConfig()
- Customized exception formatting
- Speaking logging messages
- Buffering logging messages and outputting them conditionally
- Formatting times using UTC (GMT) via configuration
- Using a context manager for selective logging
- 正则表达式HOWTO
- 概述
- 简单模式
- 使用正则表达式
- 更多模式能力
- 修改字符串
- 常见问题
- 反馈
- 套接字编程指南
- 套接字
- 创建套接字
- 使用一个套接字
- 断开连接
- 非阻塞的套接字
- 排序指南
- 基本排序
- 关键函数
- Operator 模块函数
- 升序和降序
- 排序稳定性和排序复杂度
- 使用装饰-排序-去装饰的旧方法
- 使用 cmp 参数的旧方法
- 其它
- Unicode 指南
- Unicode 概述
- Python's Unicode Support
- Reading and Writing Unicode Data
- Acknowledgements
- 如何使用urllib包获取网络资源
- 概述
- Fetching URLs
- 处理异常
- info and geturl
- Openers and Handlers
- Basic Authentication
- Proxies
- Sockets and Layers
- 脚注
- Argparse 教程
- 概念
- 基础
- 位置参数介绍
- Introducing Optional arguments
- Combining Positional and Optional arguments
- Getting a little more advanced
- Conclusion
- ipaddress模块介绍
- 创建 Address/Network/Interface 对象
- 审查 Address/Network/Interface 对象
- Network 作为 Address 列表
- 比较
- 将IP地址与其他模块一起使用
- 实例创建失败时获取更多详细信息
- Argument Clinic How-To
- The Goals Of Argument Clinic
- Basic Concepts And Usage
- Converting Your First Function
- Advanced Topics
- 使用 DTrace 和 SystemTap 检测CPython
- Enabling the static markers
- Static DTrace probes
- Static SystemTap markers
- Available static markers
- SystemTap Tapsets
- 示例
- Python 常见问题
- Python常见问题
- 一般信息
- 现实世界中的 Python
- 编程常见问题
- 一般问题
- 核心语言
- 数字和字符串
- 性能
- 序列(元组/列表)
- 对象
- 模块
- 设计和历史常见问题
- 为什么Python使用缩进来分组语句?
- 为什么简单的算术运算得到奇怪的结果?
- 为什么浮点计算不准确?
- 为什么Python字符串是不可变的?
- 为什么必须在方法定义和调用中显式使用“self”?
- 为什么不能在表达式中赋值?
- 为什么Python对某些功能(例如list.index())使用方法来实现,而其他功能(例如len(List))使用函数实现?
- 为什么 join()是一个字符串方法而不是列表或元组方法?
- 异常有多快?
- 为什么Python中没有switch或case语句?
- 难道不能在解释器中模拟线程,而非得依赖特定于操作系统的线程实现吗?
- 为什么lambda表达式不能包含语句?
- 可以将Python编译为机器代码,C或其他语言吗?
- Python如何管理内存?
- 为什么CPython不使用更传统的垃圾回收方案?
- CPython退出时为什么不释放所有内存?
- 为什么有单独的元组和列表数据类型?
- 列表是如何在CPython中实现的?
- 字典是如何在CPython中实现的?
- 为什么字典key必须是不可变的?
- 为什么 list.sort() 没有返回排序列表?
- 如何在Python中指定和实施接口规范?
- 为什么没有goto?
- 为什么原始字符串(r-strings)不能以反斜杠结尾?
- 为什么Python没有属性赋值的“with”语句?
- 为什么 if/while/def/class语句需要冒号?
- 为什么Python在列表和元组的末尾允许使用逗号?
- 代码库和插件 FAQ
- 通用的代码库问题
- 通用任务
- 线程相关
- 输入输出
- 网络 / Internet 编程
- 数据库
- 数学和数字
- 扩展/嵌入常见问题
- 可以使用C语言中创建自己的函数吗?
- 可以使用C++语言中创建自己的函数吗?
- C很难写,有没有其他选择?
- 如何从C执行任意Python语句?
- 如何从C中评估任意Python表达式?
- 如何从Python对象中提取C的值?
- 如何使用Py_BuildValue()创建任意长度的元组?
- 如何从C调用对象的方法?
- 如何捕获PyErr_Print()(或打印到stdout / stderr的任何内容)的输出?
- 如何从C访问用Python编写的模块?
- 如何从Python接口到C ++对象?
- 我使用Setup文件添加了一个模块,为什么make失败了?
- 如何调试扩展?
- 我想在Linux系统上编译一个Python模块,但是缺少一些文件。为什么?
- 如何区分“输入不完整”和“输入无效”?
- 如何找到未定义的g++符号__builtin_new或__pure_virtual?
- 能否创建一个对象类,其中部分方法在C中实现,而其他方法在Python中实现(例如通过继承)?
- Python在Windows上的常见问题
- 我怎样在Windows下运行一个Python程序?
- 我怎么让 Python 脚本可执行?
- 为什么有时候 Python 程序会启动缓慢?
- 我怎样使用Python脚本制作可执行文件?
- *.pyd 文件和DLL文件相同吗?
- 我怎样将Python嵌入一个Windows程序?
- 如何让编辑器不要在我的 Python 源代码中插入 tab ?
- 如何在不阻塞的情况下检查按键?
- 图形用户界面(GUI)常见问题
- 图形界面常见问题
- Python 是否有平台无关的图形界面工具包?
- 有哪些Python的GUI工具是某个平台专用的?
- 有关Tkinter的问题
- “为什么我的电脑上安装了 Python ?”
- 什么是Python?
- 为什么我的电脑上安装了 Python ?
- 我能删除 Python 吗?
- 术语对照表
- 文档说明
- Python 文档贡献者
- 解决 Bug
- 文档错误
- 使用 Python 的错误追踪系统
- 开始为 Python 贡献您的知识
- 版权
- 历史和许可证
- 软件历史
- 访问Python或以其他方式使用Python的条款和条件
- Python 3.7.3 的 PSF 许可协议
- Python 2.0 的 BeOpen.com 许可协议
- Python 1.6.1 的 CNRI 许可协议
- Python 0.9.0 至 1.2 的 CWI 许可协议
- 集成软件的许可和认可
- Mersenne Twister
- 套接字
- Asynchronous socket services
- Cookie management
- Execution tracing
- UUencode and UUdecode functions
- XML Remote Procedure Calls
- test_epoll
- Select kqueue
- SipHash24
- strtod and dtoa
- OpenSSL
- expat
- libffi
- zlib
- cfuhash
- libmpdec