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# [`inspect`](#module-inspect "inspect: Extract information and source code from live objects.") --- 檢查對象
**源代碼:** [Lib/inspect.py](https://github.com/python/cpython/tree/3.7/Lib/inspect.py) \[https://github.com/python/cpython/tree/3.7/Lib/inspect.py\]
- - - - - -
[`inspect`](#module-inspect "inspect: Extract information and source code from live objects.") 模塊提供了一些有用的函數幫助獲取對象的信息,例如模塊、類、方法、函數、回溯、幀對象以及代碼對象。例如它可以幫助你檢查類的內容,獲取某個方法的源代碼,取得并格式化某個函數的參數列表,或者獲取你需要顯示的回溯的詳細信息。
該模塊提供了4種主要的功能:類型檢查、獲取源代碼、檢查類與函數、檢查解釋器的調用堆棧。
## 類型和成員
[`getmembers()`](#inspect.getmembers "inspect.getmembers") 函數獲取對象的成員,例如類或模塊。函數名以"is"開始的函數主要作為 [`getmembers()`](#inspect.getmembers "inspect.getmembers") 的第2個參數使用。它們也可用于判定某對象是否有如下的特殊屬性:
類型
屬性
描述
module 模塊
\_\_doc\_\_
文檔字符串
\_\_file\_\_
文件名(內置模塊沒有文件名)
class 類
\_\_doc\_\_
文檔字符串
\_\_name\_\_
類定義時所使用的名稱
\_\_qualname\_\_
qualified name -- 限定名稱
\_\_module\_\_
該類型被定義時所在的模塊的名稱
method 方法
\_\_doc\_\_
文檔字符串
\_\_name\_\_
該方法定義時所使用的名稱
\_\_qualname\_\_
qualified name -- 限定名稱
\_\_func\_\_
實現該方法的函數對象
\_\_self\_\_
該方法被綁定的實例,若沒有綁定則為 `None`
函數
\_\_doc\_\_
文檔字符串
\_\_name\_\_
用于定義此函數的名稱
\_\_qualname\_\_
qualified name -- 限定名稱
\_\_code\_\_
包含已編譯函數的代碼對象 [bytecode](../glossary.xhtml#term-bytecode)
\_\_defaults\_\_
tuple of any default values for positional or keyword parameters
\_\_kwdefaults\_\_
mapping of any default values for keyword-only parameters
\_\_globals\_\_
global namespace in which this function was defined
\_\_annotations\_\_
mapping of parameters names to annotations; `"return"` key is reserved for return annotations.
回溯
tb\_frame
此級別的框架對象
tb\_lasti
index of last attempted instruction in bytecode
tb\_lineno
current line number in Python source code
tb\_next
next inner traceback object (called by this level)
框架
f\_back
next outer frame object (this frame's caller)
f\_builtins
builtins namespace seen by this frame
f\_code
code object being executed in this frame
f\_globals
global namespace seen by this frame
f\_lasti
index of last attempted instruction in bytecode
f\_lineno
current line number in Python source code
f\_locals
local namespace seen by this frame
f\_trace
tracing function for this frame, or `None`
code
co\_argcount
number of arguments (not including keyword only arguments, \* or \*\* args)
co\_code
原始編譯字節碼的字符串
co\_cellvars
單元變量名稱的元組(通過包含作用域引用)
co\_consts
字節碼中使用的常量元組
co\_filename
創建此代碼對象的文件的名稱
co\_firstlineno
number of first line in Python source code
co\_flags
bitmap of `CO_*` flags, read more [here](#inspect-module-co-flags)
co\_lnotab
編碼的行號到字節碼索引的映射
co\_freevars
tuple of names of free variables (referenced via a function's closure)
co\_kwonlyargcount
number of keyword only arguments (not including \*\* arg)
co\_name
定義此代碼對象的名稱
co\_names
局部變量名稱的元組
co\_nlocals
局部變量的數量
co\_stacksize
需要虛擬機堆棧空間
co\_varnames
參數名和局部變量的元組
生成器
\_\_name\_\_
名稱
\_\_qualname\_\_
qualified name -- 限定名稱
gi\_frame
框架
gi\_running
生成器在運行嗎?
gi\_code
code
gi\_yieldfrom
object being iterated by `yield from`, or `None`
協程
\_\_name\_\_
名稱
\_\_qualname\_\_
qualified name -- 限定名稱
cr\_await
object being awaited on, or `None`
cr\_frame
框架
cr\_running
is the coroutine running?
cr\_code
code
cr\_origin
where coroutine was created, or `None`. See [`sys.set_coroutine_origin_tracking_depth()`](sys.xhtml#sys.set_coroutine_origin_tracking_depth "sys.set_coroutine_origin_tracking_depth")
builtin
\_\_doc\_\_
文檔字符串
\_\_name\_\_
此函數或方法的原始名稱
\_\_qualname\_\_
qualified name -- 限定名稱
\_\_self\_\_
instance to which a method is bound, or `None`
在 3.5 版更改: Add `__qualname__` and `gi_yieldfrom` attributes to generators.
The `__name__` attribute of generators is now set from the function name, instead of the code name, and it can now be modified.
在 3.7 版更改: Add `cr_origin` attribute to coroutines.
`inspect.``getmembers`(*object*\[, *predicate*\])Return all the members of an object in a list of (name, value) pairs sorted by name. If the optional *predicate* argument is supplied, only members for which the predicate returns a true value are included.
注解
[`getmembers()`](#inspect.getmembers "inspect.getmembers") will only return class attributes defined in the metaclass when the argument is a class and those attributes have been listed in the metaclass' custom [`__dir__()`](../reference/datamodel.xhtml#object.__dir__ "object.__dir__").
`inspect.``getmodulename`(*path*)Return the name of the module named by the file *path*, without including the names of enclosing packages. The file extension is checked against all of the entries in [`importlib.machinery.all_suffixes()`](importlib.xhtml#importlib.machinery.all_suffixes "importlib.machinery.all_suffixes"). If it matches, the final path component is returned with the extension removed. Otherwise, `None` is returned.
Note that this function *only* returns a meaningful name for actual Python modules - paths that potentially refer to Python packages will still return `None`.
在 3.3 版更改: The function is based directly on [`importlib`](importlib.xhtml#module-importlib "importlib: The implementation of the import machinery.").
`inspect.``ismodule`(*object*)Return true if the object is a module.
`inspect.``isclass`(*object*)Return true if the object is a class, whether built-in or created in Python code.
`inspect.``ismethod`(*object*)Return true if the object is a bound method written in Python.
`inspect.``isfunction`(*object*)Return true if the object is a Python function, which includes functions created by a [lambda](../glossary.xhtml#term-lambda) expression.
`inspect.``isgeneratorfunction`(*object*)Return true if the object is a Python generator function.
`inspect.``isgenerator`(*object*)Return true if the object is a generator.
`inspect.``iscoroutinefunction`(*object*)Return true if the object is a [coroutine function](../glossary.xhtml#term-coroutine-function)(a function defined with an [`async def`](../reference/compound_stmts.xhtml#async-def) syntax).
3\.5 新版功能.
`inspect.``iscoroutine`(*object*)Return true if the object is a [coroutine](../glossary.xhtml#term-coroutine) created by an [`async def`](../reference/compound_stmts.xhtml#async-def) function.
3\.5 新版功能.
`inspect.``isawaitable`(*object*)Return true if the object can be used in [`await`](../reference/expressions.xhtml#await) expression.
Can also be used to distinguish generator-based coroutines from regular generators:
```
def gen():
yield
@types.coroutine
def gen_coro():
yield
assert not isawaitable(gen())
assert isawaitable(gen_coro())
```
3\.5 新版功能.
`inspect.``isasyncgenfunction`(*object*)Return true if the object is an [asynchronous generator](../glossary.xhtml#term-asynchronous-generator) function, for example:
```
>>> async def agen():
... yield 1
...
>>> inspect.isasyncgenfunction(agen)
True
```
3\.6 新版功能.
`inspect.``isasyncgen`(*object*)Return true if the object is an [asynchronous generator iterator](../glossary.xhtml#term-asynchronous-generator-iterator)created by an [asynchronous generator](../glossary.xhtml#term-asynchronous-generator) function.
3\.6 新版功能.
`inspect.``istraceback`(*object*)Return true if the object is a traceback.
`inspect.``isframe`(*object*)Return true if the object is a frame.
`inspect.``iscode`(*object*)Return true if the object is a code.
`inspect.``isbuiltin`(*object*)Return true if the object is a built-in function or a bound built-in method.
`inspect.``isroutine`(*object*)Return true if the object is a user-defined or built-in function or method.
`inspect.``isabstract`(*object*)Return true if the object is an abstract base class.
`inspect.``ismethoddescriptor`(*object*)Return true if the object is a method descriptor, but not if [`ismethod()`](#inspect.ismethod "inspect.ismethod"), [`isclass()`](#inspect.isclass "inspect.isclass"), [`isfunction()`](#inspect.isfunction "inspect.isfunction") or [`isbuiltin()`](#inspect.isbuiltin "inspect.isbuiltin")are true.
This, for example, is true of `int.__add__`. An object passing this test has a [`__get__()`](../reference/datamodel.xhtml#object.__get__ "object.__get__") method but not a [`__set__()`](../reference/datamodel.xhtml#object.__set__ "object.__set__")method, but beyond that the set of attributes varies. A [`__name__`](stdtypes.xhtml#definition.__name__ "definition.__name__") attribute is usually sensible, and `__doc__` often is.
Methods implemented via descriptors that also pass one of the other tests return false from the [`ismethoddescriptor()`](#inspect.ismethoddescriptor "inspect.ismethoddescriptor") test, simply because the other tests promise more -- you can, e.g., count on having the `__func__` attribute (etc) when an object passes [`ismethod()`](#inspect.ismethod "inspect.ismethod").
`inspect.``isdatadescriptor`(*object*)Return true if the object is a data descriptor.
Data descriptors have both a [`__get__`](../reference/datamodel.xhtml#object.__get__ "object.__get__") and a [`__set__`](../reference/datamodel.xhtml#object.__set__ "object.__set__") method. Examples are properties (defined in Python), getsets, and members. The latter two are defined in C and there are more specific tests available for those types, which is robust across Python implementations. Typically, data descriptors will also have [`__name__`](stdtypes.xhtml#definition.__name__ "definition.__name__") and `__doc__` attributes (properties, getsets, and members have both of these attributes), but this is not guaranteed.
`inspect.``isgetsetdescriptor`(*object*)Return true if the object is a getset descriptor.
**CPython implementation detail:** getsets are attributes defined in extension modules via [`PyGetSetDef`](../c-api/structures.xhtml#c.PyGetSetDef "PyGetSetDef") structures. For Python implementations without such types, this method will always return `False`.
`inspect.``ismemberdescriptor`(*object*)Return true if the object is a member descriptor.
**CPython implementation detail:** Member descriptors are attributes defined in extension modules via [`PyMemberDef`](../c-api/structures.xhtml#c.PyMemberDef "PyMemberDef") structures. For Python implementations without such types, this method will always return `False`.
## Retrieving source code
`inspect.``getdoc`(*object*)Get the documentation string for an object, cleaned up with [`cleandoc()`](#inspect.cleandoc "inspect.cleandoc"). If the documentation string for an object is not provided and the object is a class, a method, a property or a descriptor, retrieve the documentation string from the inheritance hierarchy.
在 3.5 版更改: Documentation strings are now inherited if not overridden.
`inspect.``getcomments`(*object*)Return in a single string any lines of comments immediately preceding the object's source code (for a class, function, or method), or at the top of the Python source file (if the object is a module). If the object's source code is unavailable, return `None`. This could happen if the object has been defined in C or the interactive shell.
`inspect.``getfile`(*object*)Return the name of the (text or binary) file in which an object was defined. This will fail with a [`TypeError`](exceptions.xhtml#TypeError "TypeError") if the object is a built-in module, class, or function.
`inspect.``getmodule`(*object*)Try to guess which module an object was defined in.
`inspect.``getsourcefile`(*object*)Return the name of the Python source file in which an object was defined. This will fail with a [`TypeError`](exceptions.xhtml#TypeError "TypeError") if the object is a built-in module, class, or function.
`inspect.``getsourcelines`(*object*)Return a list of source lines and starting line number for an object. The argument may be a module, class, method, function, traceback, frame, or code object. The source code is returned as a list of the lines corresponding to the object and the line number indicates where in the original source file the first line of code was found. An [`OSError`](exceptions.xhtml#OSError "OSError") is raised if the source code cannot be retrieved.
在 3.3 版更改: [`OSError`](exceptions.xhtml#OSError "OSError") is raised instead of [`IOError`](exceptions.xhtml#IOError "IOError"), now an alias of the former.
`inspect.``getsource`(*object*)Return the text of the source code for an object. The argument may be a module, class, method, function, traceback, frame, or code object. The source code is returned as a single string. An [`OSError`](exceptions.xhtml#OSError "OSError") is raised if the source code cannot be retrieved.
在 3.3 版更改: [`OSError`](exceptions.xhtml#OSError "OSError") is raised instead of [`IOError`](exceptions.xhtml#IOError "IOError"), now an alias of the former.
`inspect.``cleandoc`(*doc*)Clean up indentation from docstrings that are indented to line up with blocks of code.
All leading whitespace is removed from the first line. Any leading whitespace that can be uniformly removed from the second line onwards is removed. Empty lines at the beginning and end are subsequently removed. Also, all tabs are expanded to spaces.
## Introspecting callables with the Signature object
3\.3 新版功能.
The Signature object represents the call signature of a callable object and its return annotation. To retrieve a Signature object, use the [`signature()`](#inspect.signature "inspect.signature")function.
`inspect.``signature`(*callable*, *\**, *follow\_wrapped=True*)Return a [`Signature`](#inspect.Signature "inspect.Signature") object for the given `callable`:
```
>>> from inspect import signature
>>> def foo(a, *, b:int, **kwargs):
... pass
>>> sig = signature(foo)
>>> str(sig)
'(a, *, b:int, **kwargs)'
>>> str(sig.parameters['b'])
'b:int'
>>> sig.parameters['b'].annotation
<class 'int'>
```
Accepts a wide range of Python callables, from plain functions and classes to [`functools.partial()`](functools.xhtml#functools.partial "functools.partial") objects.
Raises [`ValueError`](exceptions.xhtml#ValueError "ValueError") if no signature can be provided, and [`TypeError`](exceptions.xhtml#TypeError "TypeError") if that type of object is not supported.
A slash(/) in the signature of a function denotes that the parameters prior to it are positional-only. For more info, see [the FAQ entry on positional-only parameters](../faq/programming.xhtml#faq-positional-only-arguments).
3\.5 新版功能: `follow_wrapped` parameter. Pass `False` to get a signature of `callable` specifically (`callable.__wrapped__` will not be used to unwrap decorated callables.)
注解
Some callables may not be introspectable in certain implementations of Python. For example, in CPython, some built-in functions defined in C provide no metadata about their arguments.
*class* `inspect.``Signature`(*parameters=None*, *\**, *return\_annotation=Signature.empty*)A Signature object represents the call signature of a function and its return annotation. For each parameter accepted by the function it stores a [`Parameter`](#inspect.Parameter "inspect.Parameter") object in its [`parameters`](#inspect.Signature.parameters "inspect.Signature.parameters") collection.
The optional *parameters* argument is a sequence of [`Parameter`](#inspect.Parameter "inspect.Parameter")objects, which is validated to check that there are no parameters with duplicate names, and that the parameters are in the right order, i.e. positional-only first, then positional-or-keyword, and that parameters with defaults follow parameters without defaults.
The optional *return\_annotation* argument, can be an arbitrary Python object, is the "return" annotation of the callable.
Signature objects are *immutable*. Use [`Signature.replace()`](#inspect.Signature.replace "inspect.Signature.replace") to make a modified copy.
在 3.5 版更改: Signature objects are picklable and hashable.
`empty`A special class-level marker to specify absence of a return annotation.
`parameters`An ordered mapping of parameters' names to the corresponding [`Parameter`](#inspect.Parameter "inspect.Parameter") objects. Parameters appear in strict definition order, including keyword-only parameters.
在 3.7 版更改: Python only explicitly guaranteed that it preserved the declaration order of keyword-only parameters as of version 3.7, although in practice this order had always been preserved in Python 3.
`return_annotation`The "return" annotation for the callable. If the callable has no "return" annotation, this attribute is set to [`Signature.empty`](#inspect.Signature.empty "inspect.Signature.empty").
`bind`(*\*args*, *\*\*kwargs*)Create a mapping from positional and keyword arguments to parameters. Returns [`BoundArguments`](#inspect.BoundArguments "inspect.BoundArguments") if `*args` and `**kwargs` match the signature, or raises a [`TypeError`](exceptions.xhtml#TypeError "TypeError").
`bind_partial`(*\*args*, *\*\*kwargs*)Works the same way as [`Signature.bind()`](#inspect.Signature.bind "inspect.Signature.bind"), but allows the omission of some required arguments (mimics [`functools.partial()`](functools.xhtml#functools.partial "functools.partial") behavior.) Returns [`BoundArguments`](#inspect.BoundArguments "inspect.BoundArguments"), or raises a [`TypeError`](exceptions.xhtml#TypeError "TypeError") if the passed arguments do not match the signature.
`replace`(*\*\[, parameters\]\[, return\_annotation\]*)Create a new Signature instance based on the instance replace was invoked on. It is possible to pass different `parameters` and/or `return_annotation` to override the corresponding properties of the base signature. To remove return\_annotation from the copied Signature, pass in [`Signature.empty`](#inspect.Signature.empty "inspect.Signature.empty").
```
>>> def test(a, b):
... pass
>>> sig = signature(test)
>>> new_sig = sig.replace(return_annotation="new return anno")
>>> str(new_sig)
"(a, b) -> 'new return anno'"
```
*classmethod* `from_callable`(*obj*, *\**, *follow\_wrapped=True*)Return a [`Signature`](#inspect.Signature "inspect.Signature") (or its subclass) object for a given callable `obj`. Pass `follow_wrapped=False` to get a signature of `obj`without unwrapping its `__wrapped__` chain.
This method simplifies subclassing of [`Signature`](#inspect.Signature "inspect.Signature"):
```
class MySignature(Signature):
pass
sig = MySignature.from_callable(min)
assert isinstance(sig, MySignature)
```
3\.5 新版功能.
*class* `inspect.``Parameter`(*name*, *kind*, *\**, *default=Parameter.empty*, *annotation=Parameter.empty*)Parameter objects are *immutable*. Instead of modifying a Parameter object, you can use [`Parameter.replace()`](#inspect.Parameter.replace "inspect.Parameter.replace") to create a modified copy.
在 3.5 版更改: Parameter objects are picklable and hashable.
`empty`A special class-level marker to specify absence of default values and annotations.
`name`The name of the parameter as a string. The name must be a valid Python identifier.
**CPython implementation detail:** CPython generates implicit parameter names of the form `.0` on the code objects used to implement comprehensions and generator expressions.
在 3.6 版更改: These parameter names are exposed by this module as names like `implicit0`.
`default`The default value for the parameter. If the parameter has no default value, this attribute is set to [`Parameter.empty`](#inspect.Parameter.empty "inspect.Parameter.empty").
`annotation`The annotation for the parameter. If the parameter has no annotation, this attribute is set to [`Parameter.empty`](#inspect.Parameter.empty "inspect.Parameter.empty").
`kind`Describes how argument values are bound to the parameter. Possible values (accessible via [`Parameter`](#inspect.Parameter "inspect.Parameter"), like `Parameter.KEYWORD_ONLY`):
名稱
意義
*POSITIONAL\_ONLY*
Value must be supplied as a positional argument.
Python has no explicit syntax for defining positional-only parameters, but many built-in and extension module functions (especially those that accept only one or two parameters) accept them.
*POSITIONAL\_OR\_KEYWORD*
Value may be supplied as either a keyword or positional argument (this is the standard binding behaviour for functions implemented in Python.)
*VAR\_POSITIONAL*
A tuple of positional arguments that aren't bound to any other parameter. This corresponds to a `*args` parameter in a Python function definition.
*KEYWORD\_ONLY*
Value must be supplied as a keyword argument. Keyword only parameters are those which appear after a `*` or `*args` entry in a Python function definition.
*VAR\_KEYWORD*
A dict of keyword arguments that aren't bound to any other parameter. This corresponds to a `**kwargs` parameter in a Python function definition.
Example: print all keyword-only arguments without default values:
```
>>> def foo(a, b, *, c, d=10):
... pass
>>> sig = signature(foo)
>>> for param in sig.parameters.values():
... if (param.kind == param.KEYWORD_ONLY and
... param.default is param.empty):
... print('Parameter:', param)
Parameter: c
```
`replace`(*\*\[, name\]\[, kind\]\[, default\]\[, annotation\]*)> Create a new Parameter instance based on the instance replaced was invoked on. To override a [`Parameter`](#inspect.Parameter "inspect.Parameter") attribute, pass the corresponding argument. To remove a default value or/and an annotation from a Parameter, pass [`Parameter.empty`](#inspect.Parameter.empty "inspect.Parameter.empty").
>
>
> ```
> >>> from inspect import Parameter
> >>> param = Parameter('foo', Parameter.KEYWORD_ONLY, default=42)
> >>> str(param)
> 'foo=42'
>
> >>> str(param.replace()) # Will create a shallow copy of 'param'
> 'foo=42'
>
> >>> str(param.replace(default=Parameter.empty, annotation='spam'))
> "foo:'spam'"
>
> ```
在 3.4 版更改: In Python 3.3 Parameter objects were allowed to have `name` set to `None` if their `kind` was set to `POSITIONAL_ONLY`. This is no longer permitted.
*class* `inspect.``BoundArguments`Result of a [`Signature.bind()`](#inspect.Signature.bind "inspect.Signature.bind") or [`Signature.bind_partial()`](#inspect.Signature.bind_partial "inspect.Signature.bind_partial") call. Holds the mapping of arguments to the function's parameters.
`arguments`An ordered, mutable mapping ([`collections.OrderedDict`](collections.xhtml#collections.OrderedDict "collections.OrderedDict")) of parameters' names to arguments' values. Contains only explicitly bound arguments. Changes in [`arguments`](#inspect.BoundArguments.arguments "inspect.BoundArguments.arguments") will reflect in [`args`](#inspect.BoundArguments.args "inspect.BoundArguments.args") and [`kwargs`](#inspect.BoundArguments.kwargs "inspect.BoundArguments.kwargs").
Should be used in conjunction with [`Signature.parameters`](#inspect.Signature.parameters "inspect.Signature.parameters") for any argument processing purposes.
注解
Arguments for which [`Signature.bind()`](#inspect.Signature.bind "inspect.Signature.bind") or [`Signature.bind_partial()`](#inspect.Signature.bind_partial "inspect.Signature.bind_partial") relied on a default value are skipped. However, if needed, use [`BoundArguments.apply_defaults()`](#inspect.BoundArguments.apply_defaults "inspect.BoundArguments.apply_defaults") to add them.
`args`A tuple of positional arguments values. Dynamically computed from the [`arguments`](#inspect.BoundArguments.arguments "inspect.BoundArguments.arguments") attribute.
`kwargs`A dict of keyword arguments values. Dynamically computed from the [`arguments`](#inspect.BoundArguments.arguments "inspect.BoundArguments.arguments") attribute.
`signature`A reference to the parent [`Signature`](#inspect.Signature "inspect.Signature") object.
`apply_defaults`()Set default values for missing arguments.
For variable-positional arguments (`*args`) the default is an empty tuple.
For variable-keyword arguments (`**kwargs`) the default is an empty dict.
```
>>> def foo(a, b='ham', *args): pass
>>> ba = inspect.signature(foo).bind('spam')
>>> ba.apply_defaults()
>>> ba.arguments
OrderedDict([('a', 'spam'), ('b', 'ham'), ('args', ())])
```
3\.5 新版功能.
The [`args`](#inspect.BoundArguments.args "inspect.BoundArguments.args") and [`kwargs`](#inspect.BoundArguments.kwargs "inspect.BoundArguments.kwargs") properties can be used to invoke functions:
```
def test(a, *, b):
...
sig = signature(test)
ba = sig.bind(10, b=20)
test(*ba.args, **ba.kwargs)
```
參見
[**PEP 362**](https://www.python.org/dev/peps/pep-0362) \[https://www.python.org/dev/peps/pep-0362\] - Function Signature Object.The detailed specification, implementation details and examples.
## Classes and functions
`inspect.``getclasstree`(*classes*, *unique=False*)Arrange the given list of classes into a hierarchy of nested lists. Where a nested list appears, it contains classes derived from the class whose entry immediately precedes the list. Each entry is a 2-tuple containing a class and a tuple of its base classes. If the *unique* argument is true, exactly one entry appears in the returned structure for each class in the given list. Otherwise, classes using multiple inheritance and their descendants will appear multiple times.
`inspect.``getargspec`(*func*)Get the names and default values of a Python function's parameters. A [named tuple](../glossary.xhtml#term-named-tuple)`ArgSpec(args, varargs, keywords, defaults)` is returned. *args* is a list of the parameter names. *varargs* and *keywords*are the names of the `*` and `**` parameters or `None`. *defaults* is a tuple of default argument values or `None` if there are no default arguments; if this tuple has *n* elements, they correspond to the last *n* elements listed in *args*.
3\.0 版后已移除: Use [`getfullargspec()`](#inspect.getfullargspec "inspect.getfullargspec") for an updated API that is usually a drop-in replacement, but also correctly handles function annotations and keyword-only parameters.
Alternatively, use [`signature()`](#inspect.signature "inspect.signature") and [Signature Object](#inspect-signature-object), which provide a more structured introspection API for callables.
`inspect.``getfullargspec`(*func*)Get the names and default values of a Python function's parameters. A [named tuple](../glossary.xhtml#term-named-tuple) is returned:
```
FullArgSpec(args, varargs, varkw, defaults, kwonlyargs, kwonlydefaults,
annotations)
```
*args* is a list of the positional parameter names. *varargs* is the name of the `*` parameter or `None` if arbitrary positional arguments are not accepted. *varkw* is the name of the `**` parameter or `None` if arbitrary keyword arguments are not accepted. *defaults* is an *n*-tuple of default argument values corresponding to the last *n* positional parameters, or `None` if there are no such defaults defined. *kwonlyargs* is a list of keyword-only parameter names in declaration order. *kwonlydefaults* is a dictionary mapping parameter names from *kwonlyargs*to the default values used if no argument is supplied. *annotations* is a dictionary mapping parameter names to annotations. The special key `"return"` is used to report the function return value annotation (if any).
Note that [`signature()`](#inspect.signature "inspect.signature") and [Signature Object](#inspect-signature-object) provide the recommended API for callable introspection, and support additional behaviours (like positional-only arguments) that are sometimes encountered in extension module APIs. This function is retained primarily for use in code that needs to maintain compatibility with the Python 2 `inspect` module API.
在 3.4 版更改: This function is now based on [`signature()`](#inspect.signature "inspect.signature"), but still ignores `__wrapped__` attributes and includes the already bound first parameter in the signature output for bound methods.
在 3.6 版更改: This method was previously documented as deprecated in favour of [`signature()`](#inspect.signature "inspect.signature") in Python 3.5, but that decision has been reversed in order to restore a clearly supported standard interface for single-source Python 2/3 code migrating away from the legacy [`getargspec()`](#inspect.getargspec "inspect.getargspec") API.
在 3.7 版更改: Python only explicitly guaranteed that it preserved the declaration order of keyword-only parameters as of version 3.7, although in practice this order had always been preserved in Python 3.
`inspect.``getargvalues`(*frame*)Get information about arguments passed into a particular frame. A [named tuple](../glossary.xhtml#term-named-tuple)`ArgInfo(args, varargs, keywords, locals)` is returned. *args* is a list of the argument names. *varargs* and *keywords*are the names of the `*` and `**` arguments or `None`. *locals* is the locals dictionary of the given frame.
注解
This function was inadvertently marked as deprecated in Python 3.5.
`inspect.``formatargspec`(*args*\[, *varargs*, *varkw*, *defaults*, *kwonlyargs*, *kwonlydefaults*, *annotations*\[, *formatarg*, *formatvarargs*, *formatvarkw*, *formatvalue*, *formatreturns*, *formatannotations*\]\])Format a pretty argument spec from the values returned by [`getfullargspec()`](#inspect.getfullargspec "inspect.getfullargspec").
The first seven arguments are (`args`, `varargs`, `varkw`, `defaults`, `kwonlyargs`, `kwonlydefaults`, `annotations`).
The other six arguments are functions that are called to turn argument names, `*` argument name, `**` argument name, default values, return annotation and individual annotations into strings, respectively.
例如:
```
>>> from inspect import formatargspec, getfullargspec
>>> def f(a: int, b: float):
... pass
...
>>> formatargspec(*getfullargspec(f))
'(a: int, b: float)'
```
3\.5 版后已移除: Use [`signature()`](#inspect.signature "inspect.signature") and [Signature Object](#inspect-signature-object), which provide a better introspecting API for callables.
`inspect.``formatargvalues`(*args*\[, *varargs*, *varkw*, *locals*, *formatarg*, *formatvarargs*, *formatvarkw*, *formatvalue*\])Format a pretty argument spec from the four values returned by [`getargvalues()`](#inspect.getargvalues "inspect.getargvalues"). The format\* arguments are the corresponding optional formatting functions that are called to turn names and values into strings.
注解
This function was inadvertently marked as deprecated in Python 3.5.
`inspect.``getmro`(*cls*)Return a tuple of class cls's base classes, including cls, in method resolution order. No class appears more than once in this tuple. Note that the method resolution order depends on cls's type. Unless a very peculiar user-defined metatype is in use, cls will be the first element of the tuple.
`inspect.``getcallargs`(*func*, *\*args*, *\*\*kwds*)Bind the *args* and *kwds* to the argument names of the Python function or method *func*, as if it was called with them. For bound methods, bind also the first argument (typically named `self`) to the associated instance. A dict is returned, mapping the argument names (including the names of the `*` and `**` arguments, if any) to their values from *args* and *kwds*. In case of invoking *func* incorrectly, i.e. whenever `func(*args, **kwds)` would raise an exception because of incompatible signature, an exception of the same type and the same or similar message is raised. For example:
```
>>> from inspect import getcallargs
>>> def f(a, b=1, *pos, **named):
... pass
>>> getcallargs(f, 1, 2, 3) == {'a': 1, 'named': {}, 'b': 2, 'pos': (3,)}
True
>>> getcallargs(f, a=2, x=4) == {'a': 2, 'named': {'x': 4}, 'b': 1, 'pos': ()}
True
>>> getcallargs(f)
Traceback (most recent call last):
...
TypeError: f() missing 1 required positional argument: 'a'
```
3\.2 新版功能.
3\.5 版后已移除: Use [`Signature.bind()`](#inspect.Signature.bind "inspect.Signature.bind") and [`Signature.bind_partial()`](#inspect.Signature.bind_partial "inspect.Signature.bind_partial") instead.
`inspect.``getclosurevars`(*func*)Get the mapping of external name references in a Python function or method *func* to their current values. A [named tuple](../glossary.xhtml#term-named-tuple)`ClosureVars(nonlocals, globals, builtins, unbound)`is returned. *nonlocals* maps referenced names to lexical closure variables, *globals* to the function's module globals and *builtins* to the builtins visible from the function body. *unbound* is the set of names referenced in the function that could not be resolved at all given the current module globals and builtins.
[`TypeError`](exceptions.xhtml#TypeError "TypeError") is raised if *func* is not a Python function or method.
3\.3 新版功能.
`inspect.``unwrap`(*func*, *\**, *stop=None*)Get the object wrapped by *func*. It follows the chain of `__wrapped__`attributes returning the last object in the chain.
*stop* is an optional callback accepting an object in the wrapper chain as its sole argument that allows the unwrapping to be terminated early if the callback returns a true value. If the callback never returns a true value, the last object in the chain is returned as usual. For example, [`signature()`](#inspect.signature "inspect.signature") uses this to stop unwrapping if any object in the chain has a `__signature__` attribute defined.
[`ValueError`](exceptions.xhtml#ValueError "ValueError") is raised if a cycle is encountered.
3\.4 新版功能.
## The interpreter stack
When the following functions return "frame records," each record is a [named tuple](../glossary.xhtml#term-named-tuple)`FrameInfo(frame, filename, lineno, function, code_context, index)`. The tuple contains the frame object, the filename, the line number of the current line, the function name, a list of lines of context from the source code, and the index of the current line within that list.
在 3.5 版更改: Return a named tuple instead of a tuple.
注解
Keeping references to frame objects, as found in the first element of the frame records these functions return, can cause your program to create reference cycles. Once a reference cycle has been created, the lifespan of all objects which can be accessed from the objects which form the cycle can become much longer even if Python's optional cycle detector is enabled. If such cycles must be created, it is important to ensure they are explicitly broken to avoid the delayed destruction of objects and increased memory consumption which occurs.
Though the cycle detector will catch these, destruction of the frames (and local variables) can be made deterministic by removing the cycle in a [`finally`](../reference/compound_stmts.xhtml#finally) clause. This is also important if the cycle detector was disabled when Python was compiled or using [`gc.disable()`](gc.xhtml#gc.disable "gc.disable"). For example:
```
def handle_stackframe_without_leak():
frame = inspect.currentframe()
try:
# do something with the frame
finally:
del frame
```
If you want to keep the frame around (for example to print a traceback later), you can also break reference cycles by using the [`frame.clear()`](../reference/datamodel.xhtml#frame.clear "frame.clear") method.
The optional *context* argument supported by most of these functions specifies the number of lines of context to return, which are centered around the current line.
`inspect.``getframeinfo`(*frame*, *context=1*)Get information about a frame or traceback object. A [named tuple](../glossary.xhtml#term-named-tuple)`Traceback(filename, lineno, function, code_context, index)` is returned.
`inspect.``getouterframes`(*frame*, *context=1*)Get a list of frame records for a frame and all outer frames. These frames represent the calls that lead to the creation of *frame*. The first entry in the returned list represents *frame*; the last entry represents the outermost call on *frame*'s stack.
在 3.5 版更改: A list of [named tuples](../glossary.xhtml#term-named-tuple)`FrameInfo(frame, filename, lineno, function, code_context, index)`is returned.
`inspect.``getinnerframes`(*traceback*, *context=1*)Get a list of frame records for a traceback's frame and all inner frames. These frames represent calls made as a consequence of *frame*. The first entry in the list represents *traceback*; the last entry represents where the exception was raised.
在 3.5 版更改: A list of [named tuples](../glossary.xhtml#term-named-tuple)`FrameInfo(frame, filename, lineno, function, code_context, index)`is returned.
`inspect.``currentframe`()Return the frame object for the caller's stack frame.
**CPython implementation detail:** This function relies on Python stack frame support in the interpreter, which isn't guaranteed to exist in all implementations of Python. If running in an implementation without Python stack frame support this function returns `None`.
`inspect.``stack`(*context=1*)Return a list of frame records for the caller's stack. The first entry in the returned list represents the caller; the last entry represents the outermost call on the stack.
在 3.5 版更改: A list of [named tuples](../glossary.xhtml#term-named-tuple)`FrameInfo(frame, filename, lineno, function, code_context, index)`is returned.
`inspect.``trace`(*context=1*)Return a list of frame records for the stack between the current frame and the frame in which an exception currently being handled was raised in. The first entry in the list represents the caller; the last entry represents where the exception was raised.
在 3.5 版更改: A list of [named tuples](../glossary.xhtml#term-named-tuple)`FrameInfo(frame, filename, lineno, function, code_context, index)`is returned.
## Fetching attributes statically
Both [`getattr()`](functions.xhtml#getattr "getattr") and [`hasattr()`](functions.xhtml#hasattr "hasattr") can trigger code execution when fetching or checking for the existence of attributes. Descriptors, like properties, will be invoked and [`__getattr__()`](../reference/datamodel.xhtml#object.__getattr__ "object.__getattr__") and [`__getattribute__()`](../reference/datamodel.xhtml#object.__getattribute__ "object.__getattribute__")may be called.
For cases where you want passive introspection, like documentation tools, this can be inconvenient. [`getattr_static()`](#inspect.getattr_static "inspect.getattr_static") has the same signature as [`getattr()`](functions.xhtml#getattr "getattr")but avoids executing code when it fetches attributes.
`inspect.``getattr_static`(*obj*, *attr*, *default=None*)Retrieve attributes without triggering dynamic lookup via the descriptor protocol, [`__getattr__()`](../reference/datamodel.xhtml#object.__getattr__ "object.__getattr__") or [`__getattribute__()`](../reference/datamodel.xhtml#object.__getattribute__ "object.__getattribute__").
Note: this function may not be able to retrieve all attributes that getattr can fetch (like dynamically created attributes) and may find attributes that getattr can't (like descriptors that raise AttributeError). It can also return descriptors objects instead of instance members.
If the instance [`__dict__`](stdtypes.xhtml#object.__dict__ "object.__dict__") is shadowed by another member (for example a property) then this function will be unable to find instance members.
3\.2 新版功能.
[`getattr_static()`](#inspect.getattr_static "inspect.getattr_static") does not resolve descriptors, for example slot descriptors or getset descriptors on objects implemented in C. The descriptor object is returned instead of the underlying attribute.
You can handle these with code like the following. Note that for arbitrary getset descriptors invoking these may trigger code execution:
```
# example code for resolving the builtin descriptor types
class _foo:
__slots__ = ['foo']
slot_descriptor = type(_foo.foo)
getset_descriptor = type(type(open(__file__)).name)
wrapper_descriptor = type(str.__dict__['__add__'])
descriptor_types = (slot_descriptor, getset_descriptor, wrapper_descriptor)
result = getattr_static(some_object, 'foo')
if type(result) in descriptor_types:
try:
result = result.__get__()
except AttributeError:
# descriptors can raise AttributeError to
# indicate there is no underlying value
# in which case the descriptor itself will
# have to do
pass
```
## Current State of Generators and Coroutines
When implementing coroutine schedulers and for other advanced uses of generators, it is useful to determine whether a generator is currently executing, is waiting to start or resume or execution, or has already terminated. [`getgeneratorstate()`](#inspect.getgeneratorstate "inspect.getgeneratorstate") allows the current state of a generator to be determined easily.
`inspect.``getgeneratorstate`(*generator*)Get current state of a generator-iterator.
Possible states are:- GEN\_CREATED: Waiting to start execution.
- GEN\_RUNNING: Currently being executed by the interpreter.
- GEN\_SUSPENDED: Currently suspended at a yield expression.
- GEN\_CLOSED: Execution has completed.
3\.2 新版功能.
`inspect.``getcoroutinestate`(*coroutine*)Get current state of a coroutine object. The function is intended to be used with coroutine objects created by [`async def`](../reference/compound_stmts.xhtml#async-def) functions, but will accept any coroutine-like object that has `cr_running` and `cr_frame` attributes.
Possible states are:- CORO\_CREATED: Waiting to start execution.
- CORO\_RUNNING: Currently being executed by the interpreter.
- CORO\_SUSPENDED: Currently suspended at an await expression.
- CORO\_CLOSED: Execution has completed.
3\.5 新版功能.
The current internal state of the generator can also be queried. This is mostly useful for testing purposes, to ensure that internal state is being updated as expected:
`inspect.``getgeneratorlocals`(*generator*)Get the mapping of live local variables in *generator* to their current values. A dictionary is returned that maps from variable names to values. This is the equivalent of calling [`locals()`](functions.xhtml#locals "locals") in the body of the generator, and all the same caveats apply.
If *generator* is a [generator](../glossary.xhtml#term-generator) with no currently associated frame, then an empty dictionary is returned. [`TypeError`](exceptions.xhtml#TypeError "TypeError") is raised if *generator* is not a Python generator object.
**CPython implementation detail:** This function relies on the generator exposing a Python stack frame for introspection, which isn't guaranteed to be the case in all implementations of Python. In such cases, this function will always return an empty dictionary.
3\.3 新版功能.
`inspect.``getcoroutinelocals`(*coroutine*)This function is analogous to [`getgeneratorlocals()`](#inspect.getgeneratorlocals "inspect.getgeneratorlocals"), but works for coroutine objects created by [`async def`](../reference/compound_stmts.xhtml#async-def) functions.
3\.5 新版功能.
## Code Objects Bit Flags
Python code objects have a `co_flags` attribute, which is a bitmap of the following flags:
`inspect.``CO_OPTIMIZED`The code object is optimized, using fast locals.
`inspect.``CO_NEWLOCALS`If set, a new dict will be created for the frame's `f_locals` when the code object is executed.
`inspect.``CO_VARARGS`The code object has a variable positional parameter (`*args`-like).
`inspect.``CO_VARKEYWORDS`The code object has a variable keyword parameter (`**kwargs`-like).
`inspect.``CO_NESTED`The flag is set when the code object is a nested function.
`inspect.``CO_GENERATOR`The flag is set when the code object is a generator function, i.e. a generator object is returned when the code object is executed.
`inspect.``CO_NOFREE`The flag is set if there are no free or cell variables.
`inspect.``CO_COROUTINE`The flag is set when the code object is a coroutine function. When the code object is executed it returns a coroutine object. See [**PEP 492**](https://www.python.org/dev/peps/pep-0492) \[https://www.python.org/dev/peps/pep-0492\] for more details.
3\.5 新版功能.
`inspect.``CO_ITERABLE_COROUTINE`The flag is used to transform generators into generator-based coroutines. Generator objects with this flag can be used in `await` expression, and can `yield from` coroutine objects. See [**PEP 492**](https://www.python.org/dev/peps/pep-0492) \[https://www.python.org/dev/peps/pep-0492\] for more details.
3\.5 新版功能.
`inspect.``CO_ASYNC_GENERATOR`The flag is set when the code object is an asynchronous generator function. When the code object is executed it returns an asynchronous generator object. See [**PEP 525**](https://www.python.org/dev/peps/pep-0525) \[https://www.python.org/dev/peps/pep-0525\] for more details.
3\.6 新版功能.
注解
The flags are specific to CPython, and may not be defined in other Python implementations. Furthermore, the flags are an implementation detail, and can be removed or deprecated in future Python releases. It's recommended to use public APIs from the [`inspect`](#module-inspect "inspect: Extract information and source code from live objects.") module for any introspection needs.
## Command Line Interface
The [`inspect`](#module-inspect "inspect: Extract information and source code from live objects.") module also provides a basic introspection capability from the command line.
By default, accepts the name of a module and prints the source of that module. A class or function within the module can be printed instead by appended a colon and the qualified name of the target object.
`--details```Print information about the specified object rather than the source code
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- Python文檔內容
- Python 有什么新變化?
- Python 3.7 有什么新變化
- 摘要 - 發布重點
- 新的特性
- 其他語言特性修改
- 新增模塊
- 改進的模塊
- C API 的改變
- 構建的改變
- 性能優化
- 其他 CPython 實現的改變
- 已棄用的 Python 行為
- 已棄用的 Python 模塊、函數和方法
- 已棄用的 C API 函數和類型
- 平臺支持的移除
- API 與特性的移除
- 移除的模塊
- Windows 專屬的改變
- 移植到 Python 3.7
- Python 3.7.1 中的重要變化
- Python 3.7.2 中的重要變化
- Python 3.6 有什么新變化A
- 摘要 - 發布重點
- 新的特性
- 其他語言特性修改
- 新增模塊
- 改進的模塊
- 性能優化
- Build and C API Changes
- 其他改進
- 棄用
- 移除
- 移植到Python 3.6
- Python 3.6.2 中的重要變化
- Python 3.6.4 中的重要變化
- Python 3.6.5 中的重要變化
- Python 3.6.7 中的重要變化
- Python 3.5 有什么新變化
- 摘要 - 發布重點
- 新的特性
- 其他語言特性修改
- 新增模塊
- 改進的模塊
- Other module-level changes
- 性能優化
- Build and C API Changes
- 棄用
- 移除
- Porting to Python 3.5
- Notable changes in Python 3.5.4
- What's New In Python 3.4
- 摘要 - 發布重點
- 新的特性
- 新增模塊
- 改進的模塊
- CPython Implementation Changes
- 棄用
- 移除
- Porting to Python 3.4
- Changed in 3.4.3
- What's New In Python 3.3
- 摘要 - 發布重點
- PEP 405: Virtual Environments
- PEP 420: Implicit Namespace Packages
- PEP 3118: New memoryview implementation and buffer protocol documentation
- PEP 393: Flexible String Representation
- PEP 397: Python Launcher for Windows
- PEP 3151: Reworking the OS and IO exception hierarchy
- PEP 380: Syntax for Delegating to a Subgenerator
- PEP 409: Suppressing exception context
- PEP 414: Explicit Unicode literals
- PEP 3155: Qualified name for classes and functions
- PEP 412: Key-Sharing Dictionary
- PEP 362: Function Signature Object
- PEP 421: Adding sys.implementation
- Using importlib as the Implementation of Import
- 其他語言特性修改
- A Finer-Grained Import Lock
- Builtin functions and types
- 新增模塊
- 改進的模塊
- 性能優化
- Build and C API Changes
- 棄用
- Porting to Python 3.3
- What's New In Python 3.2
- PEP 384: Defining a Stable ABI
- PEP 389: Argparse Command Line Parsing Module
- PEP 391: Dictionary Based Configuration for Logging
- PEP 3148: The concurrent.futures module
- PEP 3147: PYC Repository Directories
- PEP 3149: ABI Version Tagged .so Files
- PEP 3333: Python Web Server Gateway Interface v1.0.1
- 其他語言特性修改
- New, Improved, and Deprecated Modules
- 多線程
- 性能優化
- Unicode
- Codecs
- 文檔
- IDLE
- Code Repository
- Build and C API Changes
- Porting to Python 3.2
- What's New In Python 3.1
- PEP 372: Ordered Dictionaries
- PEP 378: Format Specifier for Thousands Separator
- 其他語言特性修改
- New, Improved, and Deprecated Modules
- 性能優化
- 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
- 其他語言特性修改
- 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 有什么新變化
- 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
- 其他語言特性修改
- 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
- 其他語言特性修改
- 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
- 其他語言特性修改
- 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
- 其他語言特性修改
- 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
- 列表推導式
- 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 最終版
- Python 3.7.3 發布候選版 1
- Python 3.7.2 最終版
- Python 3.7.2 發布候選版 1
- Python 3.7.1 最終版
- Python 3.7.1 RC 2版本
- Python 3.7.1 發布候選版 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
- 課前甜點
- 使用 Python 解釋器
- 調用解釋器
- 解釋器的運行環境
- Python 的非正式介紹
- Python 作為計算器使用
- 走向編程的第一步
- 其他流程控制工具
- if 語句
- for 語句
- range() 函數
- break 和 continue 語句,以及循環中的 else 子句
- pass 語句
- 定義函數
- 函數定義的更多形式
- 小插曲:編碼風格
- 數據結構
- 列表的更多特性
- del 語句
- 元組和序列
- 集合
- 字典
- 循環的技巧
- 深入條件控制
- 序列和其它類型的比較
- 模塊
- 有關模塊的更多信息
- 標準模塊
- dir() 函數
- 包
- 輸入輸出
- 更漂亮的輸出格式
- 讀寫文件
- 錯誤和異常
- 語法錯誤
- 異常
- 處理異常
- 拋出異常
- 用戶自定義異常
- 定義清理操作
- 預定義的清理操作
- 類
- 名稱和對象
- Python 作用域和命名空間
- 初探類
- 補充說明
- 繼承
- 私有變量
- 雜項說明
- 迭代器
- 生成器
- 生成器表達式
- 標準庫簡介
- 操作系統接口
- 文件通配符
- 命令行參數
- 錯誤輸出重定向和程序終止
- 字符串模式匹配
- 數學
- 互聯網訪問
- 日期和時間
- 數據壓縮
- 性能測量
- 質量控制
- 自帶電池
- 標準庫簡介 —— 第二部分
- 格式化輸出
- 模板
- 使用二進制數據記錄格式
- 多線程
- 日志
- 弱引用
- 用于操作列表的工具
- 十進制浮點運算
- 虛擬環境和包
- 概述
- 創建虛擬環境
- 使用pip管理包
- 接下來?
- 交互式編輯和編輯歷史
- Tab 補全和編輯歷史
- 默認交互式解釋器的替代品
- 浮點算術:爭議和限制
- 表示性錯誤
- 附錄
- 交互模式
- 安裝和使用 Python
- 命令行與環境
- 命令行
- 環境變量
- 在Unix平臺中使用Python
- 獲取最新版本的Python
- 構建Python
- 與Python相關的路徑和文件
- 雜項
- 編輯器和集成開發環境
- 在Windows上使用 Python
- 完整安裝程序
- Microsoft Store包
- nuget.org 安裝包
- 可嵌入的包
- 替代捆綁包
- 配置Python
- 適用于Windows的Python啟動器
- 查找模塊
- 附加模塊
- 在Windows上編譯Python
- 其他平臺
- 在蘋果系統上使用 Python
- 獲取和安裝 MacPython
- IDE
- 安裝額外的 Python 包
- Mac 上的圖形界面編程
- 在 Mac 上分發 Python 應用程序
- 其他資源
- Python 語言參考
- 概述
- 其他實現
- 標注
- 詞法分析
- 行結構
- 其他形符
- 標識符和關鍵字
- 字面值
- 運算符
- 分隔符
- 數據模型
- 對象、值與類型
- 標準類型層級結構
- 特殊方法名稱
- 協程
- 執行模型
- 程序的結構
- 命名與綁定
- 異常
- 導入系統
- importlib
- 包
- 搜索
- 加載
- 基于路徑的查找器
- 替換標準導入系統
- Package Relative Imports
- 有關 main 的特殊事項
- 開放問題項
- 參考文獻
- 表達式
- 算術轉換
- 原子
- 原型
- await 表達式
- 冪運算符
- 一元算術和位運算
- 二元算術運算符
- 移位運算
- 二元位運算
- 比較運算
- 布爾運算
- 條件表達式
- lambda 表達式
- 表達式列表
- 求值順序
- 運算符優先級
- 簡單語句
- 表達式語句
- 賦值語句
- assert 語句
- pass 語句
- del 語句
- return 語句
- yield 語句
- raise 語句
- break 語句
- continue 語句
- import 語句
- global 語句
- nonlocal 語句
- 復合語句
- if 語句
- while 語句
- for 語句
- try 語句
- with 語句
- 函數定義
- 類定義
- 協程
- 最高層級組件
- 完整的 Python 程序
- 文件輸入
- 交互式輸入
- 表達式輸入
- 完整的語法規范
- Python 標準庫
- 概述
- 可用性注釋
- 內置函數
- 內置常量
- 由 site 模塊添加的常量
- 內置類型
- 邏輯值檢測
- 布爾運算 — and, or, not
- 比較
- 數字類型 — int, float, complex
- 迭代器類型
- 序列類型 — list, tuple, range
- 文本序列類型 — str
- 二進制序列類型 — bytes, bytearray, memoryview
- 集合類型 — set, frozenset
- 映射類型 — dict
- 上下文管理器類型
- 其他內置類型
- 特殊屬性
- 內置異常
- 基類
- 具體異常
- 警告
- 異常層次結構
- 文本處理服務
- string — 常見的字符串操作
- re — 正則表達式操作
- 模塊 difflib 是一個計算差異的助手
- textwrap — Text wrapping and filling
- unicodedata — Unicode 數據庫
- stringprep — Internet String Preparation
- readline — GNU readline interface
- rlcompleter — GNU readline的完成函數
- 二進制數據服務
- struct — Interpret bytes as packed binary data
- codecs — Codec registry and base classes
- 數據類型
- datetime — 基礎日期/時間數據類型
- calendar — General calendar-related functions
- collections — 容器數據類型
- collections.abc — 容器的抽象基類
- heapq — 堆隊列算法
- 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 — 淺層 (shallow) 和深層 (deep) 復制操作
- pprint — 數據美化輸出
- reprlib — Alternate repr() implementation
- enum — Support for enumerations
- 數字和數學模塊
- numbers — 數字的抽象基類
- math — 數學函數
- cmath — Mathematical functions for complex numbers
- decimal — 十進制定點和浮點運算
- fractions — 分數
- random — 生成偽隨機數
- statistics — Mathematical statistics functions
- 函數式編程模塊
- itertools — 為高效循環而創建迭代器的函數
- functools — 高階函數和可調用對象上的操作
- operator — 標準運算符替代函數
- 文件和目錄訪問
- pathlib — 面向對象的文件系統路徑
- os.path — 常見路徑操作
- 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 路徑操作函數
- 數據持久化
- pickle —— Python 對象序列化
- copyreg — Register pickle support functions
- shelve — Python object persistence
- marshal — Internal Python object serialization
- dbm — Interfaces to Unix “databases”
- sqlite3 — SQLite 數據庫 DB-API 2.0 接口模塊
- 數據壓縮和存檔
- zlib — 與 gzip 兼容的壓縮
- gzip — 對 gzip 格式的支持
- bz2 — 對 bzip2 壓縮算法的支持
- lzma — 用 LZMA 算法壓縮
- zipfile — 在 ZIP 歸檔中工作
- tarfile — Read and write tar archive files
- 文件格式
- csv — CSV 文件讀寫
- configparser — Configuration file parser
- netrc — netrc file processing
- xdrlib — Encode and decode XDR data
- plistlib — Generate and parse Mac OS X .plist files
- 加密服務
- hashlib — 安全哈希與消息摘要
- hmac — 基于密鑰的消息驗證
- secrets — Generate secure random numbers for managing secrets
- 通用操作系統服務
- os — 操作系統接口模塊
- io — 處理流的核心工具
- time — 時間的訪問和轉換
- argparse — 命令行選項、參數和子命令解析器
- getopt — C-style parser for command line options
- 模塊 logging — Python 的日志記錄工具
- logging.config — 日志記錄配置
- logging.handlers — Logging handlers
- getpass — 便攜式密碼輸入工具
- curses — 終端字符單元顯示的處理
- 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 的外部函數庫
- 并發執行
- threading — 基于線程的并行
- multiprocessing — 基于進程的并行
- concurrent 包
- concurrent.futures — 啟動并行任務
- subprocess — 子進程管理
- sched — 事件調度器
- queue — 一個同步的隊列類
- _thread — 底層多線程 API
- _dummy_thread — _thread 的替代模塊
- dummy_threading — 可直接替代 threading 模塊。
- contextvars — Context Variables
- Context Variables
- Manual Context Management
- asyncio support
- 網絡和進程間通信
- asyncio — 異步 I/O
- socket — 底層網絡接口
- ssl — TLS/SSL wrapper for socket objects
- select — Waiting for I/O completion
- selectors — 高級 I/O 復用庫
- asyncore — 異步socket處理器
- asynchat — 異步 socket 指令/響應 處理器
- signal — Set handlers for asynchronous events
- mmap — Memory-mapped file support
- 互聯網數據處理
- email — 電子郵件與 MIME 處理包
- json — JSON 編碼和解碼器
- mailcap — Mailcap file handling
- mailbox — Manipulate mailboxes in various formats
- mimetypes — Map filenames to MIME types
- base64 — Base16, Base32, Base64, Base85 數據編碼
- binhex — 對binhex4文件進行編碼和解碼
- binascii — 二進制和 ASCII 碼互轉
- quopri — Encode and decode MIME quoted-printable data
- uu — Encode and decode uuencode files
- 結構化標記處理工具
- html — 超文本標記語言支持
- html.parser — 簡單的 HTML 和 XHTML 解析器
- html.entities — HTML 一般實體的定義
- XML處理模塊
- 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
- 互聯網協議和支持
- webbrowser — 方便的Web瀏覽器控制器
- cgi — Common Gateway Interface support
- cgitb — Traceback manager for CGI scripts
- wsgiref — WSGI Utilities and Reference Implementation
- urllib — URL 處理模塊
- urllib.request — 用于打開 URL 的可擴展庫
- 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 模塊
- http.client — HTTP協議客戶端
- ftplib — FTP protocol client
- poplib — POP3 protocol client
- imaplib — IMAP4 protocol client
- nntplib — NNTP protocol client
- smtplib —SMTP協議客戶端
- smtpd — SMTP Server
- telnetlib — Telnet client
- uuid — UUID objects according to RFC 4122
- socketserver — A framework for network servers
- http.server — HTTP 服務器
- http.cookies — HTTP state management
- http.cookiejar — Cookie handling for HTTP clients
- xmlrpc — XMLRPC 服務端與客戶端模塊
- xmlrpc.client — XML-RPC client access
- xmlrpc.server — Basic XML-RPC servers
- ipaddress — IPv4/IPv6 manipulation library
- 多媒體服務
- audioop — Manipulate raw audio data
- aifc — Read and write AIFF and AIFC files
- sunau — 讀寫 Sun AU 文件
- wave — 讀寫WAV格式文件
- chunk — Read IFF chunked data
- colorsys — Conversions between color systems
- imghdr — 推測圖像類型
- sndhdr — 推測聲音文件的類型
- ossaudiodev — Access to OSS-compatible audio devices
- 國際化
- gettext — 多語種國際化服務
- locale — 國際化服務
- 程序框架
- turtle — 海龜繪圖
- cmd — 支持面向行的命令解釋器
- shlex — Simple lexical analysis
- Tk圖形用戶界面(GUI)
- tkinter — Tcl/Tk的Python接口
- tkinter.ttk — Tk themed widgets
- tkinter.tix — Extension widgets for Tk
- tkinter.scrolledtext — 滾動文字控件
- IDLE
- 其他圖形用戶界面(GUI)包
- 開發工具
- typing — 類型標注支持
- pydoc — Documentation generator and online help system
- doctest — Test interactive Python examples
- unittest — 單元測試框架
- unittest.mock — mock object library
- unittest.mock 上手指南
- 2to3 - 自動將 Python 2 代碼轉為 Python 3 代碼
- test — Regression tests package for Python
- test.support — Utilities for the Python test suite
- test.support.script_helper — Utilities for the Python execution tests
- 調試和分析
- bdb — Debugger framework
- faulthandler — Dump the Python traceback
- pdb — The Python Debugger
- The Python Profilers
- timeit — 測量小代碼片段的執行時間
- trace — Trace or track Python statement execution
- tracemalloc — Trace memory allocations
- 軟件打包和分發
- distutils — 構建和安裝 Python 模塊
- ensurepip — Bootstrapping the pip installer
- venv — 創建虛擬環境
- zipapp — Manage executable Python zip archives
- Python運行時服務
- sys — 系統相關的參數和函數
- sysconfig — Provide access to Python's configuration information
- builtins — 內建對象
- main — 頂層腳本環境
- warnings — Warning control
- dataclasses — 數據類
- contextlib — Utilities for with-statement contexts
- abc — 抽象基類
- atexit — 退出處理器
- traceback — Print or retrieve a stack traceback
- future — Future 語句定義
- gc — 垃圾回收器接口
- inspect — 檢查對象
- site — Site-specific configuration hook
- 自定義 Python 解釋器
- code — Interpreter base classes
- codeop — Compile Python code
- 導入模塊
- zipimport — Import modules from Zip archives
- pkgutil — Package extension utility
- modulefinder — 查找腳本使用的模塊
- runpy — Locating and executing Python modules
- importlib — The implementation of import
- Python 語言服務
- parser — Access Python parse trees
- ast — 抽象語法樹
- symtable — Access to the compiler's symbol tables
- symbol — 與 Python 解析樹一起使用的常量
- token — 與Python解析樹一起使用的常量
- keyword — 檢驗Python關鍵字
- tokenize — Tokenizer for Python source
- tabnanny — 模糊縮進檢測
- pyclbr — Python class browser support
- py_compile — Compile Python source files
- compileall — Byte-compile Python libraries
- dis — Python 字節碼反匯編器
- pickletools — Tools for pickle developers
- 雜項服務
- formatter — Generic output formatting
- Windows系統相關模塊
- msilib — Read and write Microsoft Installer files
- msvcrt — Useful routines from the MS VC++ runtime
- winreg — Windows 注冊表訪問
- winsound — Sound-playing interface for Windows
- Unix 專有服務
- posix — The most common POSIX system calls
- pwd — 用戶密碼數據庫
- spwd — The shadow password database
- grp — The group database
- crypt — Function to check Unix passwords
- termios — POSIX style tty control
- tty — 終端控制功能
- 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 庫例程
- 被取代的模塊
- optparse — Parser for command line options
- imp — Access the import internals
- 未創建文檔的模塊
- 平臺特定模塊
- 擴展和嵌入 Python 解釋器
- 推薦的第三方工具
- 不使用第三方工具創建擴展
- 使用 C 或 C++ 擴展 Python
- 自定義擴展類型:教程
- 定義擴展類型:已分類主題
- 構建C/C++擴展
- 在Windows平臺編譯C和C++擴展
- 在更大的應用程序中嵌入 CPython 運行時
- Embedding Python in Another Application
- Python/C API 參考手冊
- 概述
- 代碼標準
- 包含文件
- 有用的宏
- 對象、類型和引用計數
- 異常
- 嵌入Python
- 調試構建
- 穩定的應用程序二進制接口
- The Very High Level Layer
- Reference Counting
- 異常處理
- Printing and clearing
- 拋出異常
- Issuing warnings
- Querying the error indicator
- Signal Handling
- Exception Classes
- Exception Objects
- Unicode Exception Objects
- Recursion Control
- 標準異常
- 標準警告類別
- 工具
- 操作系統實用程序
- 系統功能
- 過程控制
- 導入模塊
- Data marshalling support
- 語句解釋及變量編譯
- 字符串轉換與格式化
- 反射
- 編解碼器注冊與支持功能
- 抽象對象層
- Object Protocol
- 數字協議
- Sequence Protocol
- Mapping Protocol
- 迭代器協議
- 緩沖協議
- Old Buffer Protocol
- 具體的對象層
- 基本對象
- 數值對象
- 序列對象
- 容器對象
- 函數對象
- 其他對象
- Initialization, Finalization, and Threads
- 在Python初始化之前
- 全局配置變量
- 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
- 內存管理
- 概述
- 原始內存接口
- Memory Interface
- 對象分配器
- 默認內存分配器
- Customize Memory Allocators
- The pymalloc allocator
- tracemalloc C API
- 示例
- 對象實現支持
- 在堆中分配對象
- Common Object Structures
- Type 對象
- Number Object Structures
- Mapping Object Structures
- Sequence Object Structures
- Buffer Object Structures
- Async Object Structures
- 使對象類型支持循環垃圾回收
- API 和 ABI 版本管理
- 分發 Python 模塊
- 關鍵術語
- 開源許可與協作
- 安裝工具
- 閱讀指南
- 我該如何...?
- ...為我的項目選擇一個名字?
- ...創建和分發二進制擴展?
- 安裝 Python 模塊
- 關鍵術語
- 基本使用
- 我應如何 ...?
- ... 在 Python 3.4 之前的 Python 版本中安裝 pip ?
- ... 只為當前用戶安裝軟件包?
- ... 安裝科學計算類 Python 軟件包?
- ... 使用并行安裝的多個 Python 版本?
- 常見的安裝問題
- 在 Linux 的系統 Python 版本上安裝
- 未安裝 pip
- 安裝二進制編譯擴展
- Python 常用指引
- 將 Python 2 代碼遷移到 Python 3
- 簡要說明
- 詳情
- 將擴展模塊移植到 Python 3
- 條件編譯
- 對象API的更改
- 模塊初始化和狀態
- CObject 替換為 Capsule
- 其他選項
- Curses Programming with Python
- What is curses?
- Starting and ending a curses application
- Windows and Pads
- Displaying Text
- User Input
- For More Information
- 實現描述器
- 摘要
- 定義和簡介
- 描述器協議
- 發起調用描述符
- 描述符示例
- Properties
- 函數和方法
- Static Methods and Class Methods
- 函數式編程指引
- 概述
- 迭代器
- 生成器表達式和列表推導式
- 生成器
- 內置函數
- itertools 模塊
- The functools module
- Small functions and the lambda expression
- Revision History and Acknowledgements
- 引用文獻
- 日志 HOWTO
- 日志基礎教程
- 進階日志教程
- 日志級別
- 有用的處理程序
- 記錄日志中引發的異常
- 使用任意對象作為消息
- 優化
- 日志操作手冊
- 在多個模塊中使用日志
- 在多線程中使用日志
- 使用多個日志處理器和多種格式化
- 在多個地方記錄日志
- 日志服務器配置示例
- 處理日志處理器的阻塞
- 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
- 正則表達式HOWTO
- 概述
- 簡單模式
- 使用正則表達式
- 更多模式能力
- 修改字符串
- 常見問題
- 反饋
- 套接字編程指南
- 套接字
- 創建套接字
- 使用一個套接字
- 斷開連接
- 非阻塞的套接字
- 排序指南
- 基本排序
- 關鍵函數
- Operator 模塊函數
- 升序和降序
- 排序穩定性和排序復雜度
- 使用裝飾-排序-去裝飾的舊方法
- 使用 cmp 參數的舊方法
- 其它
- Unicode 指南
- Unicode 概述
- Python's Unicode Support
- Reading and Writing Unicode Data
- Acknowledgements
- 如何使用urllib包獲取網絡資源
- 概述
- Fetching URLs
- 處理異常
- info and geturl
- Openers and Handlers
- Basic Authentication
- Proxies
- Sockets and Layers
- 腳注
- Argparse 教程
- 概念
- 基礎
- 位置參數介紹
- Introducing Optional arguments
- Combining Positional and Optional arguments
- Getting a little more advanced
- Conclusion
- ipaddress模塊介紹
- 創建 Address/Network/Interface 對象
- 審查 Address/Network/Interface 對象
- Network 作為 Address 列表
- 比較
- 將IP地址與其他模塊一起使用
- 實例創建失敗時獲取更多詳細信息
- Argument Clinic How-To
- The Goals Of Argument Clinic
- Basic Concepts And Usage
- Converting Your First Function
- Advanced Topics
- 使用 DTrace 和 SystemTap 檢測CPython
- Enabling the static markers
- Static DTrace probes
- Static SystemTap markers
- Available static markers
- SystemTap Tapsets
- 示例
- Python 常見問題
- Python常見問題
- 一般信息
- 現實世界中的 Python
- 編程常見問題
- 一般問題
- 核心語言
- 數字和字符串
- 性能
- 序列(元組/列表)
- 對象
- 模塊
- 設計和歷史常見問題
- 為什么Python使用縮進來分組語句?
- 為什么簡單的算術運算得到奇怪的結果?
- 為什么浮點計算不準確?
- 為什么Python字符串是不可變的?
- 為什么必須在方法定義和調用中顯式使用“self”?
- 為什么不能在表達式中賦值?
- 為什么Python對某些功能(例如list.index())使用方法來實現,而其他功能(例如len(List))使用函數實現?
- 為什么 join()是一個字符串方法而不是列表或元組方法?
- 異常有多快?
- 為什么Python中沒有switch或case語句?
- 難道不能在解釋器中模擬線程,而非得依賴特定于操作系統的線程實現嗎?
- 為什么lambda表達式不能包含語句?
- 可以將Python編譯為機器代碼,C或其他語言嗎?
- Python如何管理內存?
- 為什么CPython不使用更傳統的垃圾回收方案?
- CPython退出時為什么不釋放所有內存?
- 為什么有單獨的元組和列表數據類型?
- 列表是如何在CPython中實現的?
- 字典是如何在CPython中實現的?
- 為什么字典key必須是不可變的?
- 為什么 list.sort() 沒有返回排序列表?
- 如何在Python中指定和實施接口規范?
- 為什么沒有goto?
- 為什么原始字符串(r-strings)不能以反斜杠結尾?
- 為什么Python沒有屬性賦值的“with”語句?
- 為什么 if/while/def/class語句需要冒號?
- 為什么Python在列表和元組的末尾允許使用逗號?
- 代碼庫和插件 FAQ
- 通用的代碼庫問題
- 通用任務
- 線程相關
- 輸入輸出
- 網絡 / Internet 編程
- 數據庫
- 數學和數字
- 擴展/嵌入常見問題
- 可以使用C語言中創建自己的函數嗎?
- 可以使用C++語言中創建自己的函數嗎?
- C很難寫,有沒有其他選擇?
- 如何從C執行任意Python語句?
- 如何從C中評估任意Python表達式?
- 如何從Python對象中提取C的值?
- 如何使用Py_BuildValue()創建任意長度的元組?
- 如何從C調用對象的方法?
- 如何捕獲PyErr_Print()(或打印到stdout / stderr的任何內容)的輸出?
- 如何從C訪問用Python編寫的模塊?
- 如何從Python接口到C ++對象?
- 我使用Setup文件添加了一個模塊,為什么make失敗了?
- 如何調試擴展?
- 我想在Linux系統上編譯一個Python模塊,但是缺少一些文件。為什么?
- 如何區分“輸入不完整”和“輸入無效”?
- 如何找到未定義的g++符號__builtin_new或__pure_virtual?
- 能否創建一個對象類,其中部分方法在C中實現,而其他方法在Python中實現(例如通過繼承)?
- Python在Windows上的常見問題
- 我怎樣在Windows下運行一個Python程序?
- 我怎么讓 Python 腳本可執行?
- 為什么有時候 Python 程序會啟動緩慢?
- 我怎樣使用Python腳本制作可執行文件?
- *.pyd 文件和DLL文件相同嗎?
- 我怎樣將Python嵌入一個Windows程序?
- 如何讓編輯器不要在我的 Python 源代碼中插入 tab ?
- 如何在不阻塞的情況下檢查按鍵?
- 圖形用戶界面(GUI)常見問題
- 圖形界面常見問題
- Python 是否有平臺無關的圖形界面工具包?
- 有哪些Python的GUI工具是某個平臺專用的?
- 有關Tkinter的問題
- “為什么我的電腦上安裝了 Python ?”
- 什么是Python?
- 為什么我的電腦上安裝了 Python ?
- 我能刪除 Python 嗎?
- 術語對照表
- 文檔說明
- Python 文檔貢獻者
- 解決 Bug
- 文檔錯誤
- 使用 Python 的錯誤追蹤系統
- 開始為 Python 貢獻您的知識
- 版權
- 歷史和許可證
- 軟件歷史
- 訪問Python或以其他方式使用Python的條款和條件
- Python 3.7.3 的 PSF 許可協議
- Python 2.0 的 BeOpen.com 許可協議
- Python 1.6.1 的 CNRI 許可協議
- Python 0.9.0 至 1.2 的 CWI 許可協議
- 集成軟件的許可和認可
- 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