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The Python interpreter has a number of functions built into it that are always available. They are listed here in alphabetical order.
__import__( | name[, globals[, locals[, fromlist]]]) |
For example, the statement "import spam" results in the following call: __import__(‘spam‘,
globals(),
locals(), [])
; the statement "from spam.ham import eggs" results in "__import__(‘spam.ham‘, globals(), locals(), [‘eggs‘])". Note that even though locals()
and [‘eggs‘]
are passed in as arguments, the __import__() function does not set the local variable named eggs
; this is done by subsequent code that is generated for the import statement. (In fact, the standard implementation does not use its locals argument at all, and uses its globals only to determine the package context of the import statement.)
When the name variable is of the form package.module
, normally, the top-level package (the name up till the first dot) is returned, not the module named by name. However, when a non-empty fromlist argument is given, the module named by name is returned. This is done for compatibility with the bytecode generated for the different kinds of import statement; when using "import spam.ham.eggs", the top-level package spam must be placed in the importing namespace, but when using "from spam.ham import eggs", the spam.ham
subpackage must be used to find the eggs
variable. As a workaround for this behavior, use getattr() to extract the desired components. For example, you could define the following helper:
def my_import(name):
mod = __import__(name)
components = name.split(‘.‘)
for comp in components[1:]:
mod = getattr(mod, comp)
return mod
abs( | x) |
basestring( | ) |
isinstance(obj, basestring)
is equivalent to isinstance(obj, (str, unicode))
. New in version 2.3.
bool( | [x]) |
New in version 2.2.1. Changed in version 2.3: If no argument is given, this function returns False.
callable( | object) |
chr( | i) |
chr(97)
returns the string ‘a‘
. This is the inverse of ord(). The argument must be in the range [0..255], inclusive; ValueError will be raised if i is outside that range.
classmethod( | function) |
A class method receives the class as implicit first argument, just like an instance method receives the instance. To declare a class method, use this idiom:
一个类方法接受类,将其作为隐式的第一个参数,就像实例方法接受实例一样。声明一个类方法是用如下方式:
class C:
@classmethod 类方法的定义
def f(cls, arg1, arg2, ...): ...
The @classmethod
form is a function decorator - see the description of function definitions in chapter 7 of the Python Reference Manual for details.
It can be called either on the class (such as C.f()
) or on an instance (such as C().f()
). 本句说明了调用类函数的方法和规范。The instance is ignored except for its class. If a class method is called for a derived class, the derived class object is passed as the implied first argument.如果一个类方法调用了一个此类的派生类,这个派生类对象就作为这个类函数的隐式的第一个参数。
Class methods are different than C++ or Java static methods. If you want those, see staticmethod() in this section. New in version 2.2. Changed in version 2.4: Function decorator syntax added.python的类函数不同于C++和Java的静态方法。如果你希望得到静态的方法,参考本节staticmethod()方法。本函数在2.4版中有新的发展:提供了函数描述的语法
cmp( | x, y) |
x < y
, zero if x == y
and strictly positive if x > y
.
compile( | string, filename, kind[, flags[, dont_inherit]]) |
‘<string>‘
is commonly used). The kind argument specifies what kind of code must be compiled; it can be ‘exec‘
if string consists of a sequence of statements, ‘eval‘
if it consists of a single expression, or ‘single‘
if it consists of a single interactive statement (in the latter case, expression statements that evaluate to something else than None
will be printed).When compiling multi-line statements, two caveats apply: line endings must be represented by a single newline character (‘\n‘
), and the input must be terminated by at least one newline character. If line endings are represented by ‘\r\n‘
, use the string replace() method to change them into ‘\n‘
.
如果是多行语句,有以下两个要注意的:
1、每一行的结尾必须有换行符\n,并且输入部分必须被至少一个换行符终止;
2、如果行的结尾是‘\r\n‘,就必须使用replace()方法将之转换成‘\n‘。
The optional arguments flags and dont_inherit (which are new in Python 2.2) control which future statements (see PEP 236) affect the compilation of string. If neither is present (or both are zero) the code is compiled with those future statements that are in effect in the code that is calling compile. If the flags argument is given and dont_inherit is not (or is zero) then the future statements specified by the flags argument are used in addition to those that would be used anyway. If dont_inherit is a non-zero integer then the flags argument is it - the future statements in effect around the call to compile are ignored.
Future statemants are specified by bits which can be bitwise or-ed together to specify multiple statements. The bitfield required to specify a given feature can be found as the compiler_flag attribute on the _Feature instance in the __future__module.
complex( | [real[, imag]]) |
0j
.
delattr( | object, name) |
delattr(x, ‘foobar‘)
is equivalent to del x.foobar
.delattr(x, ‘foobar‘)=
del x.foobar
dict( | [mapping-or-sequence]) |
If keyword arguments are given, the keywords themselves with their associated values are added as items to the dictionary. If a key is specified both in the positional argument and as a keyword argument, the value associated with the keyword is retained in the dictionary.
For example, these all return a dictionary equal to {"one": 2, "two": 3}
:
以下用法均等同于{‘one‘:2,‘two‘:3}
dict({‘one‘: 2, ‘two‘: 3})
dict({‘one‘: 2, ‘two‘: 3}.items())
dict({‘one‘: 2, ‘two‘: 3}.iteritems())
dict(zip((‘one‘, ‘two‘), (2, 3)))
dict([[‘two‘, 3], [‘one‘, 2]])
dict(one=2, two=3)
dict([([‘one‘, ‘two‘][i-2], i) for i in (2, 3)])
New in version 2.2. Changed in version 2.3: Support for building a dictionary from keyword arguments added.
dir( | [object]) |
>>> import struct
>>> dir()
[‘__builtins__‘, ‘__doc__‘, ‘__name__‘, ‘struct‘]
>>> dir(struct)
[‘__doc__‘, ‘__name__‘, ‘calcsize‘, ‘error‘, ‘pack‘, ‘unpack‘]
Note: Because dir() is supplied primarily as a convenience for use at an interactive prompt, it tries to supply an interesting set of names more than it tries to supply a rigorously or consistently defined set of names, and its detailed behavior may change across releases.
divmod( | a, b) |
(a / b, a % b)
. For floating point numbers the result is (q, a % b)
, where q is usually math.floor(a / b)
but may be 1 less than that. In any case q * b + a % b
is very close to a, if a % b
is non-zero it has the same sign as b, and 0 <= abs(a % b) < abs(b)
.
Changed in version 2.3: Using divmod() with complex numbers is deprecated.
enumerate( | iterable) |
(0, seq[0])
, (1, seq[1])
, (2, seq[2])
, .... New in version 2.3.
eval( | expression[, globals[, locals]]) |
The expression argument is parsed and evaluated as a Python expression (technically speaking, a condition list) using the globals and locals dictionaries as global and local name space. If the globals dictionary is present and lacks ‘__builtins__‘, the current globals are copied into globals before expression is parsed. This means that expression normally has full access to the standard __builtin__ module and restricted environments are propagated. If the localsdictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where eval is called. The return value is the result of the evaluated expression. Syntax errors are reported as exceptions.
Example:
>>> x = 1
>>> print eval(‘x+1‘)
2
This function can also be used to execute arbitrary code objects (such as those created by compile()). In this case pass a code object instead of a string. The code object must have been compiled passing ‘eval‘
as the kind argument.
Hints: dynamic execution of statements is supported by the exec statement. Execution of statements from a file is supported by the execfile() function. The globals() and locals() functions returns the current global and local dictionary, respectively, which may be useful to pass around for use by eval() or execfile().
execfile( | filename[, globals[, locals]]) |
The arguments are a file name and two optional dictionaries. The file is parsed and evaluated as a sequence of Python statements (similarly to a module) using the globals and locals dictionaries as global and local namespace. If provided,locals can be any mapping object. Changed in version 2.4: formerly locals was required to be a dictionary. If the locals dictionary is omitted it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where execfile() is called. The return value is None
.
Warning: The default locals act as described for function locals() below: modifications to the default locals dictionary should not be attempted. Pass an explicit locals dictionary if you need to see effects of the code on locals after functionexecfile() returns. execfile() cannot be used reliably to modify a function‘s locals.
file( | filename[, mode[, bufsize]]) |
stdio
‘s fopen(): filename is the file name to be opened, mode indicates how the file is to be opened: ‘r‘
for reading, ‘w‘
for writing (truncating an existing file), and ‘a‘
opens it for appending (which on some Unix systems means that all writes append to the end of the file, regardless of the current seek position).
Modes ‘r+‘
, ‘w+‘
and ‘a+‘
open the file for updating (note that ‘w+‘
truncates the file). Append ‘b‘
to the mode to open the file in binary mode, on systems that differentiate between binary and text files (else it is ignored). If the file cannot be opened, IOError is raised.
In addition to the standard fopen() values mode may be ‘U‘
or ‘rU‘
. If Python is built with universal newline support (the default) the file is opened as a text file, but lines may be terminated by any of ‘\n‘
, the Unix end-of-line convention,‘\r‘
, the Macintosh convention or ‘\r\n‘
, the Windows convention. All of these external representations are seen as ‘\n‘
by the Python program. If Python is built without universal newline support mode ‘U‘
is the same as normal text mode. Note that file objects so opened also have an attribute called newlines which has a value of None
(if no newlines have yet been seen), ‘\n‘
, ‘\r‘
, ‘\r\n‘
, or a tuple containing all the newline types seen.
If mode is omitted, it defaults to ‘r‘
. When opening a binary file, you should append ‘b‘
to the mode value for improved portability. (It‘s useful even on systems which don‘t treat binary and text files differently, where it serves as documentation.) The optional bufsize argument specifies the file‘s desired buffer size: 0 means unbuffered, 1 means line buffered, any other positive value means use a buffer of (approximately) that size. A negative bufsize means to use the system default, which is usually line buffered for tty devices and fully buffered for other files. If omitted, the system default is used.2.3
The file() constructor is new in Python 2.2. The previous spelling, open(), is retained for compatibility, and is an alias for file().
filter( | function, list) |
None
, the identity function is assumed, that is, all elements of list that are false (zero or empty) are removed.
Note that filter(function, list)
is equivalent to [item for item in list if function(item)]
if function is not None
and [item for item in list if item]
if function is None
.
float( | [x]) |
0.0
.
Note: When passing in a string, values for NaN and Infinity may be returned, depending on the underlying C library. The specific set of strings accepted which cause these values to be returned depends entirely on the C library and is known to vary.
frozenset( | [iterable]) |
frozenset([])
. New in version 2.4.
getattr( | object, name[, default]) |
getattr(x, ‘foobar‘)
is equivalent to x.foobar
. If the named attribute does not exist, default is returned if provided, otherwise AttributeError is raised.
globals( | ) |
hasattr( | object, name) |
True
if the string is the name of one of the object‘s attributes, False
if not. (This is implemented by calling getattr(object, name)
and seeing whether it raises an exception or not.)
hash( | object) |
help( | [object]) |
hex( | x) |
id( | object) |
input( | [prompt]) |
eval(raw_input(prompt))
. Warning: This function is not safe from user errors! It expects a valid Python expression as input; if the input is not syntactically valid, a SyntaxError will be raised. Other exceptions may be raised if there is an error during evaluation. (On the other hand, sometimes this is exactly what you need when writing a quick script for expert use.)
If the readline module was loaded, then input() will use it to provide elaborate line editing and history features.
Consider using the raw_input() function for general input from users.
int( | [x[, radix]]) |
0
.
isinstance( | object, classinfo) |
issubclass( | class, classinfo) |
iter( | o[, sentinel]) |
0
). If it does not support either of those protocols, TypeError is raised. If the second argument, sentinel, is given, then o must be a callable object. The iterator created in this case will call o with no arguments for each call to its next() method; if the value returned is equal to sentinel, StopIteration will be raised, otherwise the value will be returned. New in version 2.2.
len( | s) |
list( | [sequence]) |
sequence[:]
. For instance, list(‘abc‘)
returns [‘a‘, ‘b‘, ‘c‘]
and list( (1, 2, 3) )
returns [1, 2, 3]
. If no argument is given, returns a new empty list, []
.
locals( | ) |
long( | [x[, radix]]) |
0L
.
map( | function, list, ...) |
None
items. If function is None
, the identity function is assumed; if there are multiple list arguments, map() returns a list consisting of tuples containing the corresponding items from all lists (a kind of transpose operation). The list arguments may be any kind of sequence; the result is always a list.
max( | s[, args...]) |
min( | s[, args...]) |
object( | ) |
Changed in version 2.3: This function does not accept any arguments. Formerly, it accepted arguments but ignored them.
oct( | x) |
open( | filename[, mode[, bufsize]]) |
ord( | c) |
ord(‘a‘)
returns the integer 97
, ord(u‘\u2020‘)
returns 8224
. This is the inverse of chr() for strings and of unichr() for Unicode characters.
pow( | x, y[, z]) |
pow(x, y) % z
). The arguments must have numeric types. With mixed operand types, the coercion rules for binary arithmetic operators apply. For int and long int operands, the result has the same type as the operands (after coercion) unless the second argument is negative; in that case, all arguments are converted to float and a float result is delivered. For example, 10**2
returns 100
, but 10**-2
returns 0.01
. (This last feature was added in Python 2.2. In Python 2.1 and before, if both arguments were of integer types and the second argument was negative, an exception was raised.) If the second argument is negative, the third argument must be omitted. If z is present, x and y must be of integer types, and y must be non-negative. (This restriction was added in Python 2.2. In Python 2.1 and before, floating 3-argumentpow()
returned platform-dependent results depending on floating-point rounding accidents.)
property( | [fget[, fset[, fdel[, doc]]]]) |
fget is a function for getting an attribute value, likewise fset is a function for setting, and fdel a function for del‘ing, an attribute. Typical use is to define a managed attribute x:
class C(object):
def getx(self): return self.__x
def setx(self, value): self.__x = value
def delx(self): del self.__x
x = property(getx, setx, delx, "I‘m the ‘x‘ property.")
New in version 2.2.
range( | [start,] stop[, step]) |
1
. If the start argument is omitted, it defaults to 0
. The full form returns a list of plain integers [start, start + step, start + 2 * step, ...]
. If step is positive, the last element is the largest start + i * step
less than stop; if step is negative, the last element is the largest start+ i * step
greater than stop. step must not be zero (or else ValueError is raised). Example:
>>> range(10)
[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> range(1, 11)
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
>>> range(0, 30, 5)
[0, 5, 10, 15, 20, 25]
>>> range(0, 10, 3)
[0, 3, 6, 9]
>>> range(0, -10, -1)
[0, -1, -2, -3, -4, -5, -6, -7, -8, -9]
>>> range(0)
[]
>>> range(1, 0)
[]
raw_input( | [prompt]) |
>>> s = raw_input(‘--> ‘)
--> Monty Python‘s Flying Circus
>>> s
"Monty Python‘s Flying Circus"
If the readline module was loaded, then raw_input() will use it to provide elaborate line editing and history features.
reduce( | function, sequence[, initializer]) |
reduce(lambda x, y: x+y, [1, 2, 3, 4, 5])
calculates ((((1+2)+3)+4)+5)
. The left argument, x, is the accumulated value and the right argument, y, is the update value from the sequence. If the optional initializer is present, it is placed before the items of the sequence in the calculation, and serves as a default when the sequence is empty. If initializer is not given and sequence contains only one item, the first item is returned.
reload( | module) |
When reload(module)
is executed:
init
function of extension modules is not called a second time.There are a number of other caveats:
If a module is syntactically correct but its initialization fails, the first import statement for it does not bind its name locally, but does store a (partially initialized) module object in sys.modules
. To reload the module you must first import it again (this will bind the name to the partially initialized module object) before you can reload() it.
When a module is reloaded, its dictionary (containing the module‘s global variables) is retained. Redefinitions of names will override the old definitions, so this is generally not a problem. If the new version of a module does not define a name that was defined by the old version, the old definition remains. This feature can be used to the module‘s advantage if it maintains a global table or cache of objects -- with a try statement it can test for the table‘s presence and skip its initialization if desired:
try:
cache
except NameError:
cache = {}
It is legal though generally not very useful to reload built-in or dynamically loaded modules, except for sys, __main__ and __builtin__. In many cases, however, extension modules are not designed to be initialized more than once, and may fail in arbitrary ways when reloaded.
If a module imports objects from another module using from ... import ..., calling reload() for the other module does not redefine the objects imported from it -- one way around this is to re-execute the from statement, another is to useimport and qualified names (module.name) instead.
If a module instantiates instances of a class, reloading the module that defines the class does not affect the method definitions of the instances -- they continue to use the old class definition. The same is true for derived classes.
repr( | object) |
reversed( | seq) |
0
). New in version 2.4.
round( | x[, n]) |
round(0.5)
is 1.0
and round(-0.5)
is -1.0
).
set( | [iterable]) |
set([])
. New in version 2.4.
setattr( | object, name, value) |
setattr(x, ‘foobar‘, 123)
is equivalent to x.foobar = 123
.
slice( | [start,] stop[, step]) |
range(start, stop, step)
. The start and step arguments default to None
. Slice objects have read-only data attributes start, stop and step which merely return the argument values (or their default). They have no other explicit functionality; however they are used by Numerical Python and other third party extensions. Slice objects are also generated when extended indexing syntax is used. For example: "a[start:stop:step]" or "a[start:stop, i]".
sorted( | iterable[, cmp[, key[, reverse]]]) |
staticmethod( | function) |
A static method does not receive an implicit first argument. To declare a static method, use this idiom:
class C:
@staticmethod
def f(arg1, arg2, ...): ...
The @staticmethod
form is a function decorator - see the description of function definitions in chapter 7 of the Python Reference Manual for details.
It can be called either on the class (such as C.f()
) or on an instance (such as C().f()
). The instance is ignored except for its class.
Static methods in Python are similar to those found in Java or C++. For a more advanced concept, see classmethod() in this section. New in version 2.2. Changed in version 2.4: Function decorator syntax added.
str( | [object]) |
repr(object)
is that str(object)
does not always attempt to return a string that is acceptable to eval(); its goal is to return a printable string. If no argument is given, returns the empty string, ‘‘
.
sum( | sequence[, start]) |
0
. The sequence‘s items are normally numbers, and are not allowed to be strings. The fast, correct way to concatenate sequence of strings is by calling ‘‘.join(sequence)
. Note that sum(range(n), m)
is equivalent to reduce(operator.add, range(n), m)
New in version 2.3.
super( | type[, object-or-type]) |
isinstance(obj, type)
must be true. If the second argument is a type, issubclass(type2, type)
must be true. super() only works for new-style classes.
A typical use for calling a cooperative superclass method is:
class C(B):
def meth(self, arg):
super(C, self).meth(arg)
Note that super is implemented as part of the binding process for explicit dotted attribute lookups such as "super(C, self).__getitem__(name)". Accordingly, super is undefined for implicit lookups using statements or operators such as "super(C, self)[name]". New in version 2.2.
tuple( | [sequence]) |
tuple(‘abc‘)
returns (‘a‘, ‘b‘, ‘c‘)
and tuple([1, 2, 3])
returns (1, 2, 3)
. If no argument is given, returns a new empty tuple, ()
.
type( | object) |
>>> import types
>>> x = ‘abc‘
>>> if type(x) is str: print "It‘s a string"
...
It‘s a string
>>> def f(): pass
...
>>> if type(f) is types.FunctionType: print "It‘s a function"
...
It‘s a function
The isinstance() built-in function is recommended for testing the type of an object.
unichr( | i) |
unichr(97)
returns the string u‘a‘
. This is the inverse of ord() for Unicode strings. The argument must be in the range [0..65535], inclusive.ValueError is raised otherwise. New in version 2.0.
unicode( | [object[, encoding [, errors]]]) |
If encoding and/or errors are given, unicode()
will decode the object which can either be an 8-bit string or a character buffer using the codec for encoding. The encoding parameter is a string giving the name of an encoding; if the encoding is not known, LookupError is raised. Error handling is done according to errors; this specifies the treatment of characters which are invalid in the input encoding. If errors is ‘strict‘
(the default), a ValueError is raised on errors, while a value of ‘ignore‘
causes errors to be silently ignored, and a value of ‘replace‘
causes the official Unicode replacement character, U+FFFD
, to be used to replace input characters which cannot be decoded. See also the codecs module.
If no optional parameters are given, unicode()
will mimic the behaviour of str()
except that it returns Unicode strings instead of 8-bit strings. More precisely, if object is a Unicode string or subclass it will return that Unicode string without any additional decoding applied.
For objects which provide a __unicode__() method, it will call this method without arguments to create a Unicode string. For all other objects, the 8-bit string version or representation is requested and then converted to a Unicode string using the codec for the default encoding in ‘strict‘
mode.
New in version 2.0. Changed in version 2.2: Support for __unicode__() added.
vars( | [object]) |
xrange( | [start,] stop[, step]) |
Note: xrange() is intended to be simple and fast. Implementations may impose restrictions to achieve this. The C implementation of Python restricts all arguments to native C longs ("short" Python integers), and also requires that the number of elements fit in a native C long.
zip( | [seq1, ...]) |
None
. With a single sequence argument, it returns a list of 1-tuples. With no arguments, it returns an empty list. New in version 2.0.
Changed in version 2.4: Formerly, zip() required at least one argument and zip()
raised a TypeError instead of returning an empty list..
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原文地址:http://www.cnblogs.com/apexchu/p/4205502.html