Built-in Functions¶
The Python interpreter has a number of functions and types built into it that are always available. They are listed here in alphabetical order.
Built-in Functions |
|||
---|---|---|---|
- abs(x)¶
Return the absolute value of a number. The argument may be an integer, a floating-point number, or an object implementing
__abs__()
. If the argument is a complex number, its magnitude is returned.
- aiter(async_iterable)¶
Return anasynchronous iteratorfor anasynchronous iterable. Equivalent to calling
x.__aiter__()
.Note: Unlike
iter()
,aiter()
has no 2-argument variant.Added in version 3.10.
- all(iterable)¶
Return
True
if all elements of theiterableare true (or if the iterable is empty). Equivalent to:defall(iterable): forelementiniterable: ifnotelement: returnFalse returnTrue
- awaitableanext(async_iterator)¶
- awaitableanext(async_iterator,default)
When awaited, return the next item from the givenasynchronous iterator,ordefaultif given and the iterator is exhausted.
This is the async variant of the
next()
builtin, and behaves similarly.This calls the
__anext__()
method ofasync_iterator, returning anawaitable.Awaiting this returns the next value of the iterator. Ifdefaultis given, it is returned if the iterator is exhausted, otherwiseStopAsyncIteration
is raised.Added in version 3.10.
- any(iterable)¶
Return
True
if any element of theiterableis true. If the iterable is empty, returnFalse
.Equivalent to:defany(iterable): forelementiniterable: ifelement: returnTrue returnFalse
- ascii(object)¶
As
repr()
,return a string containing a printable representation of an object, but escape the non-ASCII characters in the string returned byrepr()
using\x
,\u
,or\U
escapes. This generates a string similar to that returned byrepr()
in Python 2.
- bin(x)¶
Convert an integer number to a binary string prefixed with “0b”. The result is a valid Python expression. Ifxis not a Python
int
object, it has to define an__index__()
method that returns an integer. Some examples:>>>bin(3) '0b11' >>>bin(-10) '-0b1010'
If the prefix “0b” is desired or not, you can use either of the following ways.
>>>format(14,'#b'),format(14,'b') ('0b1110', '1110') >>>f'{14:#b}',f'{14:b}' ('0b1110', '1110')
See also
format()
for more information.
- classbool(object=False,/)¶
Return a Boolean value, i.e. one of
True
orFalse
.The argument is converted using the standardtruth testing procedure. If the argument is false or omitted, this returnsFalse
;otherwise, it returnsTrue
.Thebool
class is a subclass ofint
(seeNumeric Types — int, float, complex). It cannot be subclassed further. Its only instances areFalse
andTrue
(seeBoolean Type - bool).Changed in version 3.7:The parameter is now positional-only.
- breakpoint(*args,**kws)¶
This function drops you into the debugger at the call site. Specifically, it calls
sys.breakpointhook()
,passingargs
andkws
straight through. By default,sys.breakpointhook()
callspdb.set_trace()
expecting no arguments. In this case, it is purely a convenience function so you don’t have to explicitly importpdb
or type as much code to enter the debugger. However,sys.breakpointhook()
can be set to some other function andbreakpoint()
will automatically call that, allowing you to drop into the debugger of choice. Ifsys.breakpointhook()
is not accessible, this function will raiseRuntimeError
.By default, the behavior of
breakpoint()
can be changed with thePYTHONBREAKPOINT
environment variable. Seesys.breakpointhook()
for usage details.Note that this is not guaranteed if
sys.breakpointhook()
has been replaced.Raises anauditing event
builtins.breakpoint
with argumentbreakpointhook
.Added in version 3.7.
- classbytearray(source=b'')
- classbytearray(source,encoding)
- classbytearray(source,encoding,errors)
Return a new array of bytes. The
bytearray
class is a mutable sequence of integers in the range 0 <= x < 256. It has most of the usual methods of mutable sequences, described inMutable Sequence Types,as well as most methods that thebytes
type has, seeBytes and Bytearray Operations.The optionalsourceparameter can be used to initialize the array in a few different ways:
If it is astring,you must also give theencoding(and optionally, errors) parameters;
bytearray()
then converts the string to bytes usingstr.encode()
.If it is aninteger,the array will have that size and will be initialized with null bytes.
If it is an object conforming to thebuffer interface, a read-only buffer of the object will be used to initialize the bytes array.
If it is aniterable,it must be an iterable of integers in the range
0<=x<256
,which are used as the initial contents of the array.
Without an argument, an array of size 0 is created.
See alsoBinary Sequence Types — bytes, bytearray, memoryviewandBytearray Objects.
- classbytes(source=b'')
- classbytes(source,encoding)
- classbytes(source,encoding,errors)
Return a new “bytes” object which is an immutable sequence of integers in the range
0<=x<256
.bytes
is an immutable version ofbytearray
– it has the same non-mutating methods and the same indexing and slicing behavior.Accordingly, constructor arguments are interpreted as for
bytearray()
.Bytes objects can also be created with literals, seeString and Bytes literals.
See alsoBinary Sequence Types — bytes, bytearray, memoryview,Bytes Objects,andBytes and Bytearray Operations.
- callable(object)¶
Return
True
if theobjectargument appears callable,False
if not. If this returnsTrue
,it is still possible that a call fails, but if it isFalse
,callingobjectwill never succeed. Note that classes are callable (calling a class returns a new instance); instances are callable if their class has a__call__()
method.Added in version 3.2:This function was first removed in Python 3.0 and then brought back in Python 3.2.
- chr(i)¶
Return the string representing a character whose Unicode code point is the integeri.For example,
chr(97)
returns the string'a'
,whilechr(8364)
returns the string'€'
.This is the inverse oford()
.The valid range for the argument is from 0 through 1,114,111 (0x10FFFF in base 16).
ValueError
will be raised ifiis outside that range.
- @classmethod¶
Transform a method into a class method.
A class method receives the class as an implicit first argument, just like an instance method receives the instance. To declare a class method, use this idiom:
classC: @classmethod deff(cls,arg1,arg2):...
The
@classmethod
form is a functiondecorator– see Function definitionsfor details.A class method can be called either on the class (such as
C.f()
) or on an instance (such asC().f()
). 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.Class methods are different than C++ or Java static methods. If you want those, see
staticmethod()
in this section. For more information on class methods, seeThe standard type hierarchy.Changed in version 3.9:Class methods can now wrap otherdescriptorssuch as
property()
.Changed in version 3.10:Class methods now inherit the method attributes (
__module__
,__name__
,__qualname__
,__doc__
and__annotations__
) and have a new__wrapped__
attribute.Deprecated since version 3.11, removed in version 3.13:Class methods can no longer wrap otherdescriptorssuch as
property()
.
- compile(source,filename,mode,flags=0,dont_inherit=False,optimize=-1)¶
Compile thesourceinto a code or AST object. Code objects can be executed by
exec()
oreval()
.sourcecan either be a normal string, a byte string, or an AST object. Refer to theast
module documentation for information on how to work with AST objects.Thefilenameargument should give the file from which the code was read; pass some recognizable value if it wasn’t read from a file (
'<string>'
is commonly used).Themodeargument specifies what kind of code must be compiled; it can be
'exec'
ifsourceconsists 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 other thanNone
will be printed).The optional argumentsflagsanddont_inheritcontrol which compiler optionsshould be activated and whichfuture featuresshould be allowed. If neither is present (or both are zero) the code is compiled with the same flags that affect the code that is calling
compile()
.If theflags argument is given anddont_inheritis not (or is zero) then the compiler options and the future statements specified by theflagsargument are used in addition to those that would be used anyway. Ifdont_inheritis a non-zero integer then theflagsargument is it – the flags (future features and compiler options) in the surrounding code are ignored.Compiler options and future statements are specified by bits which can be bitwise ORed together to specify multiple options. The bitfield required to specify a given future feature can be found as the
compiler_flag
attribute on the_Feature
instance in the__future__
module. Compiler flagscan be found inast
module, withPyCF_
prefix.The argumentoptimizespecifies the optimization level of the compiler; the default value of
-1
selects the optimization level of the interpreter as given by-O
options. Explicit levels are0
(no optimization;__debug__
is true),1
(asserts are removed,__debug__
is false) or2
(docstrings are removed too).This function raises
SyntaxError
if the compiled source is invalid, andValueError
if the source contains null bytes.If you want to parse Python code into its AST representation, see
ast.parse()
.Raises anauditing event
compile
with argumentssource
andfilename
.This event may also be raised by implicit compilation.Note
When compiling a string with multi-line code in
'single'
or'eval'
mode, input must be terminated by at least one newline character. This is to facilitate detection of incomplete and complete statements in thecode
module.Warning
It is possible to crash the Python interpreter with a sufficiently large/complex string when compiling to an AST object due to stack depth limitations in Python’s AST compiler.
Changed in version 3.2:Allowed use of Windows and Mac newlines. Also, input in
'exec'
mode does not have to end in a newline anymore. Added theoptimizeparameter.Changed in version 3.5:Previously,
TypeError
was raised when null bytes were encountered insource.Added in version 3.8:
ast.PyCF_ALLOW_TOP_LEVEL_AWAIT
can now be passed in flags to enable support for top-levelawait
,asyncfor
,andasyncwith
.
- classcomplex(number=0,/)¶
- classcomplex(string,/)
- classcomplex(real=0,imag=0)
Convert a single string or number to a complex number, or create a complex number from real and imaginary parts.
Examples:
>>>complex('+1.23') (1.23+0j) >>>complex('-4.5j') -4.5j >>>complex('-1.23+4.5j') (-1.23+4.5j) >>>complex('\t( -1.23+4.5J )\n') (-1.23+4.5j) >>>complex('-Infinity+NaNj') (-inf+nanj) >>>complex(1.23) (1.23+0j) >>>complex(imag=-4.5) -4.5j >>>complex(-1.23,4.5) (-1.23+4.5j)
If the argument is a string, it must contain either a real part (in the same format as for
float()
) or an imaginary part (in the same format but with a'j'
or'J'
suffix), or both real and imaginary parts (the sign of the imaginary part is mandatory in this case). The string can optionally be surrounded by whitespaces and the round parentheses'('
and')'
,which are ignored. The string must not contain whitespace between'+'
,'-'
,the'j'
or'J'
suffix, and the decimal number. For example,complex('1+2j')
is fine, butcomplex('1+2j')
raisesValueError
. More precisely, the input must conform to thecomplexvalue
production rule in the following grammar, after parentheses and leading and trailing whitespace characters are removed:complexvalue::=
floatvalue
|floatvalue
( "j" | "J" ) |floatvalue
sign
absfloatvalue
( "j" | "J" )If the argument is a number, the constructor serves as a numeric conversion like
int
andfloat
. For a general Python objectx
,complex(x)
delegates tox.__complex__()
. If__complex__()
is not defined then it falls back to__float__()
. If__float__()
is not defined then it falls back to__index__()
.If two arguments are provided or keyword arguments are used, each argument may be any numeric type (including complex). If both arguments are real numbers, return a complex number with the real componentrealand the imaginary componentimag. If both arguments are complex numbers, return a complex number with the real component
real.real-imag.imag
and the imaginary componentreal.imag+imag.real
. If one of arguments is a real number, only its real component is used in the above expressions.If all arguments are omitted, returns
0j
.The complex type is described inNumeric Types — int, float, complex.
Changed in version 3.6:Grouping digits with underscores as in code literals is allowed.
Changed in version 3.8:Falls back to
__index__()
if__complex__()
and__float__()
are not defined.
- delattr(object,name)¶
This is a relative of
setattr()
.The arguments are an object and a string. The string must be the name of one of the object’s attributes. The function deletes the named attribute, provided the object allows it. For example,delattr(x,'foobar')
is equivalent todelx.foobar
. nameneed not be a Python identifier (seesetattr()
).
- classdict(**kwarg)
- classdict(mapping,**kwarg)
- classdict(iterable,**kwarg)
Create a new dictionary. The
dict
object is the dictionary class. Seedict
andMapping Types — dictfor documentation about this class.For other containers see the built-in
list
,set
,andtuple
classes, as well as thecollections
module.
- dir()¶
- dir(object)
Without arguments, return the list of names in the current local scope. With an argument, attempt to return a list of valid attributes for that object.
If the object has a method named
__dir__()
, this method will be called and must return the list of attributes. This allows objects that implement a custom__getattr__()
or__getattribute__()
function to customize the waydir()
reports their attributes.If the object does not provide
__dir__()
, the function tries its best to gather information from the object’s__dict__
attribute, if defined, and from its type object. The resulting list is not necessarily complete and may be inaccurate when the object has a custom__getattr__()
.The default
dir()
mechanism behaves differently with different types of objects, as it attempts to produce the most relevant, rather than complete, information:If the object is a module object, the list contains the names of the module’s attributes.
If the object is a type or class object, the list contains the names of its attributes, and recursively of the attributes of its bases.
Otherwise, the list contains the object’s attributes’ names, the names of its class’s attributes, and recursively of the attributes of its class’s base classes.
The resulting list is sorted alphabetically. For example:
>>>importstruct >>>dir()# show the names in the module namespace ['__builtins__', '__name__', 'struct'] >>>dir(struct)# show the names in the struct module ['Struct', '__all__', '__builtins__', '__cached__', '__doc__', '__file__', '__initializing__', '__loader__', '__name__', '__package__', '_clearcache', 'calcsize', 'error', 'pack', 'pack_into', 'unpack', 'unpack_from'] >>>classShape: ...def__dir__(self): ...return['area','perimeter','location'] ... >>>s=Shape() >>>dir(s) ['area', 'location', 'perimeter']
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. For example, metaclass attributes are not in the result list when the argument is a class.
- divmod(a,b)¶
Take two (non-complex) numbers as arguments and return a pair of numbers consisting of their quotient and remainder when using integer division. With mixed operand types, the rules for binary arithmetic operators apply. For integers, the result is the same as
(a//b,a%b)
.For floating-point numbers the result is(q,a%b)
,whereqis usuallymath.floor(a/ b)
but may be 1 less than that. In any caseq*b+a%b
is very close toa,ifa%b
is non-zero it has the same sign asb,and0 <=abs(a%b)<abs(b)
.
- enumerate(iterable,start=0)¶
Return an enumerate object.iterablemust be a sequence, an iterator,or some other object which supports iteration. The
__next__()
method of the iterator returned byenumerate()
returns a tuple containing a count (fromstartwhich defaults to 0) and the values obtained from iterating overiterable.>>>seasons=['Spring','Summer','Fall','Winter'] >>>list(enumerate(seasons)) [(0, 'Spring'), (1, 'Summer'), (2, 'Fall'), (3, 'Winter')] >>>list(enumerate(seasons,start=1)) [(1, 'Spring'), (2, 'Summer'), (3, 'Fall'), (4, 'Winter')]
Equivalent to:
defenumerate(iterable,start=0): n=start foreleminiterable: yieldn,elem n+=1
- eval(source,/,globals=None,locals=None)¶
- Parameters:
source(
str
|code object) – A Python expression.globals(
dict
|None
) – The global namespace (default:None
).locals(mapping|
None
) – The local namespace (default:None
).
- Returns:
The result of the evaluated expression.
- Raises:
Syntax errors are reported as exceptions.
Warning
This function executes arbitrary code. Calling it with user-supplied input may lead to security vulnerabilities.
Theexpressionargument is parsed and evaluated as a Python expression (technically speaking, a condition list) using theglobalsandlocals mappings as global and local namespace. If theglobalsdictionary is present and does not contain a value for the key
__builtins__
,a reference to the dictionary of the built-in modulebuiltins
is inserted under that key beforeexpressionis parsed. That way you can control what builtins are available to the executed code by inserting your own__builtins__
dictionary intoglobalsbefore passing it toeval()
.If thelocalsmapping is omitted it defaults to the globalsdictionary. If both mappings are omitted, the expression is executed with theglobalsandlocalsin the environment whereeval()
is called. Note,eval()will only have access to the nested scopes(non-locals) in the enclosing environment if they are already referenced in the scope that is callingeval()
(e.g. via anonlocal
statement).Example:
>>>x=1 >>>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. If the code object has been compiled with'exec'
as the modeargument,eval()
's return value will beNone
.Hints: dynamic execution of statements is supported by the
exec()
function. Theglobals()
andlocals()
functions return the current global and local dictionary, respectively, which may be useful to pass around for use byeval()
orexec()
.If the given source is a string, then leading and trailing spaces and tabs are stripped.
See
ast.literal_eval()
for a function that can safely evaluate strings with expressions containing only literals.Raises anauditing event
exec
with the code object as the argument. Code compilation events may also be raised.Changed in version 3.13:Theglobalsandlocalsarguments can now be passed as keywords.
Changed in version 3.13:The semantics of the defaultlocalsnamespace have been adjusted as described for the
locals()
builtin.
- exec(source,/,globals=None,locals=None,*,closure=None)¶
Warning
This function executes arbitrary code. Calling it with user-supplied input may lead to security vulnerabilities.
This function supports dynamic execution of Python code.sourcemust be either a string or a code object. If it is a string, the string is parsed as a suite of Python statements which is then executed (unless a syntax error occurs).[1]If it is a code object, it is simply executed. In all cases, the code that’s executed is expected to be valid as file input (see the sectionFile inputin the Reference Manual). Be aware that the
nonlocal
,yield
,andreturn
statements may not be used outside of function definitions even within the context of code passed to theexec()
function. The return value isNone
.In all cases, if the optional parts are omitted, the code is executed in the current scope. If onlyglobalsis provided, it must be a dictionary (and not a subclass of dictionary), which will be used for both the global and the local variables. Ifglobalsand localsare given, they are used for the global and local variables, respectively. If provided,localscan be any mapping object. Remember that at the module level, globals and locals are the same dictionary.
Note
When
exec
gets two separate objects asglobalsandlocals,the code will be executed as if it were embedded in a class definition. This means functions and classes defined in the executed code will not be able to access variables assigned at the top level (as the “top level” variables are treated as class variables in a class definition).If theglobalsdictionary does not contain a value for the key
__builtins__
,a reference to the dictionary of the built-in modulebuiltins
is inserted under that key. That way you can control what builtins are available to the executed code by inserting your own__builtins__
dictionary intoglobalsbefore passing it toexec()
.Theclosureargument specifies a closure–a tuple of cellvars. It’s only valid when theobjectis a code object containing free (closure) variables. The length of the tuple must exactly match the length of the code object’s
co_freevars
attribute.Raises anauditing event
exec
with the code object as the argument. Code compilation events may also be raised.Note
The built-in functions
globals()
andlocals()
return the current global and local namespace, respectively, which may be useful to pass around for use as the second and third argument toexec()
.Note
The defaultlocalsact as described for function
locals()
below. Pass an explicitlocalsdictionary if you need to see effects of the code onlocalsafter functionexec()
returns.Changed in version 3.11:Added theclosureparameter.
Changed in version 3.13:Theglobalsandlocalsarguments can now be passed as keywords.
Changed in version 3.13:The semantics of the defaultlocalsnamespace have been adjusted as described for the
locals()
builtin.
- filter(function,iterable)¶
Construct an iterator from those elements ofiterablefor whichfunction is true.iterablemay be either a sequence, a container which supports iteration, or an iterator. Iffunctionis
None
,the identity function is assumed, that is, all elements ofiterablethat are false are removed.Note that
filter(function,iterable)
is equivalent to the generator expression(itemforiteminiterableiffunction(item))
if function is notNone
and(itemforiteminiterableifitem)
if function isNone
.See
itertools.filterfalse()
for the complementary function that returns elements ofiterablefor whichfunctionis false.
- classfloat(number=0.0,/)¶
- classfloat(string,/)
Return a floating-point number constructed from a number or a string.
Examples:
>>>float('+1.23') 1.23 >>>float(' -12345\n') -12345.0 >>>float('1e-003') 0.001 >>>float('+1E6') 1000000.0 >>>float('-Infinity') -inf
If the argument is a string, it should contain a decimal number, optionally preceded by a sign, and optionally embedded in whitespace. The optional sign may be
'+'
or'-'
;a'+'
sign has no effect on the value produced. The argument may also be a string representing a NaN (not-a-number), or positive or negative infinity. More precisely, the input must conform to thefloatvalue
production rule in the following grammar, after leading and trailing whitespace characters are removed:sign::= "+" | "-" infinity::= "Infinity" | "inf" nan::= "nan" digit::= <a Unicode decimal digit, i.e. characters in Unicode general category Nd> digitpart::=
digit
([ "_" ]digit
)* number::= [digitpart
] "."digitpart
|digitpart
[ "." ] exponent::= ( "e" | "E" ) [sign
]digitpart
floatnumber::=number
[exponent
] absfloatvalue::=floatnumber
|infinity
|nan
floatvalue::= [sign
]absfloatvalue
Case is not significant, so, for example, “inf”, “Inf”, “INFINITY”, and “iNfINity” are all acceptable spellings for positive infinity.
Otherwise, if the argument is an integer or a floating-point number, a floating-point number with the same value (within Python’s floating-point precision) is returned. If the argument is outside the range of a Python float, an
OverflowError
will be raised.For a general Python object
x
,float(x)
delegates tox.__float__()
.If__float__()
is not defined then it falls back to__index__()
.If no argument is given,
0.0
is returned.The float type is described inNumeric Types — int, float, complex.
Changed in version 3.6:Grouping digits with underscores as in code literals is allowed.
Changed in version 3.7:The parameter is now positional-only.
Changed in version 3.8:Falls back to
__index__()
if__float__()
is not defined.
- format(value,format_spec='')¶
Convert avalueto a “formatted” representation, as controlled by format_spec.The interpretation offormat_specwill depend on the type of thevalueargument; however, there is a standard formatting syntax that is used by most built-in types:Format Specification Mini-Language.
The defaultformat_specis an empty string which usually gives the same effect as calling
str(value)
.A call to
format(value,format_spec)
is translated totype(value).__format__(value,format_spec)
which bypasses the instance dictionary when searching for the value’s__format__()
method. ATypeError
exception is raised if the method search reachesobject
and theformat_specis non-empty, or if either the format_specor the return value are not strings.Changed in version 3.4:
object().__format__(format_spec)
raisesTypeError
ifformat_specis not an empty string.
- classfrozenset(iterable=set())
Return a new
frozenset
object, optionally with elements taken from iterable.frozenset
is a built-in class. Seefrozenset
and Set Types — set, frozensetfor documentation about this class.For other containers see the built-in
set
,list
,tuple
,anddict
classes, as well as thecollections
module.
- getattr(object,name)¶
- getattr(object,name,default)
Return the value of the named attribute ofobject.namemust be a string. If the string is the name of one of the object’s attributes, the result is the value of that attribute. For example,
getattr(x,'foobar')
is equivalent tox.foobar
.If the named attribute does not exist,defaultis returned if provided, otherwiseAttributeError
is raised. nameneed not be a Python identifier (seesetattr()
).Note
Sinceprivate name manglinghappens at compilation time, one must manually mangle a private attribute’s (attributes with two leading underscores) name in order to retrieve it with
getattr()
.
- globals()¶
Return the dictionary implementing the current module namespace. For code within functions, this is set when the function is defined and remains the same regardless of where the function is called.
- hasattr(object,name)¶
The arguments are an object and a string. The result is
True
if the string is the name of one of the object’s attributes,False
if not. (This is implemented by callinggetattr(object,name)
and seeing whether it raises anAttributeError
or not.)
- hash(object)¶
Return the hash value of the object (if it has one). Hash values are integers. They are used to quickly compare dictionary keys during a dictionary lookup. Numeric values that compare equal have the same hash value (even if they are of different types, as is the case for 1 and 1.0).
Note
For objects with custom
__hash__()
methods, note thathash()
truncates the return value based on the bit width of the host machine.
- help()¶
- help(request)
Invoke the built-in help system. (This function is intended for interactive use.) If no argument is given, the interactive help system starts on the interpreter console. If the argument is a string, then the string is looked up as the name of a module, function, class, method, keyword, or documentation topic, and a help page is printed on the console. If the argument is any other kind of object, a help page on the object is generated.
Note that if a slash(/) appears in the parameter list of a function when invoking
help()
,it means that the parameters prior to the slash are positional-only. For more info, see the FAQ entry on positional-only parameters.This function is added to the built-in namespace by the
site
module.
- hex(x)¶
Convert an integer number to a lowercase hexadecimal string prefixed with “0x”. Ifxis not a Python
int
object, it has to define an__index__()
method that returns an integer. Some examples:>>>hex(255) '0xff' >>>hex(-42) '-0x2a'
If you want to convert an integer number to an uppercase or lower hexadecimal string with prefix or not, you can use either of the following ways:
>>>'%#x'%255,'%x'%255,'%X'%255 ('0xff', 'ff', 'FF') >>>format(255,'#x'),format(255,'x'),format(255,'X') ('0xff', 'ff', 'FF') >>>f'{255:#x}',f'{255:x}',f'{255:X}' ('0xff', 'ff', 'FF')
See also
format()
for more information.See also
int()
for converting a hexadecimal string to an integer using a base of 16.Note
To obtain a hexadecimal string representation for a float, use the
float.hex()
method.
- id(object)¶
Return the “identity” of an object. This is an integer which is guaranteed to be unique and constant for this object during its lifetime. Two objects with non-overlapping lifetimes may have the same
id()
value.CPython implementation detail:This is the address of the object in memory.
Raises anauditing event
builtins.id
with argumentid
.
- input()¶
- input(prompt)
If thepromptargument is present, it is written to standard output without a trailing newline. The function then reads a line from input, converts it to a string (stripping a trailing newline), and returns that. When EOF is read,
EOFError
is raised. Example:>>>s=input('--> ') --> Monty Python's Flying Circus >>>s "Monty Python's Flying Circus"
If the
readline
module was loaded, theninput()
will use it to provide elaborate line editing and history features.Raises anauditing event
builtins.input
with argumentprompt
before reading inputRaises anauditing event
builtins.input/result
with the result after successfully reading input.
- classint(number=0,/)¶
- classint(string,/,base=10)
Return an integer object constructed from a number or a string, or return
0
if no arguments are given.Examples:
>>>int(123.45) 123 >>>int('123') 123 >>>int(' -12_345\n') -12345 >>>int('FACE',16) 64206 >>>int('0xface',0) 64206 >>>int('01110011',base=2) 115
If the argument defines
__int__()
,int(x)
returnsx.__int__()
.If the argument defines__index__()
, it returnsx.__index__()
.If the argument defines__trunc__()
, it returnsx.__trunc__()
. For floating-point numbers, this truncates towards zero.If the argument is not a number or ifbaseis given, then it must be a string,
bytes
,orbytearray
instance representing an integer in radixbase.Optionally, the string can be preceded by+
or-
(with no space in between), have leading zeros, be surrounded by whitespace, and have single underscores interspersed between digits.A base-n integer string contains digits, each representing a value from 0 to n-1. The values 0–9 can be represented by any Unicode decimal digit. The values 10–35 can be represented by
a
toz
(orA
toZ
). The defaultbaseis 10. The allowed bases are 0 and 2–36. Base-2, -8, and -16 strings can be optionally prefixed with0b
/0B
,0o
/0O
,or0x
/0X
,as with integer literals in code. For base 0, the string is interpreted in a similar way to aninteger literal in code, in that the actual base is 2, 8, 10, or 16 as determined by the prefix. Base 0 also disallows leading zeros:int('010',0)
is not legal, whileint('010')
andint('010',8)
are.The integer type is described inNumeric Types — int, float, complex.
Changed in version 3.4:Ifbaseis not an instance of
int
and thebaseobject has abase.__index__
method, that method is called to obtain an integer for the base. Previous versions usedbase.__int__
instead ofbase.__index__
.Changed in version 3.6:Grouping digits with underscores as in code literals is allowed.
Changed in version 3.7:The first parameter is now positional-only.
Changed in version 3.8:Falls back to
__index__()
if__int__()
is not defined.Changed in version 3.11:The delegation to
__trunc__()
is deprecated.Changed in version 3.11:
int
string inputs and string representations can be limited to help avoid denial of service attacks. AValueError
is raised when the limit is exceeded while converting a string to anint
or when converting anint
into a string would exceed the limit. See theinteger string conversion length limitationdocumentation.
- isinstance(object,classinfo)¶
Return
True
if theobjectargument is an instance of theclassinfo argument, or of a (direct, indirect, orvirtual) subclass thereof. Ifobjectis not an object of the given type, the function always returnsFalse
. Ifclassinfois a tuple of type objects (or recursively, other such tuples) or aUnion Typeof multiple types, returnTrue
if objectis an instance of any of the types. Ifclassinfois not a type or tuple of types and such tuples, aTypeError
exception is raised.TypeError
may not be raised for an invalid type if an earlier check succeeds.Changed in version 3.10:classinfocan be aUnion Type.
- issubclass(class,classinfo)¶
Return
True
ifclassis a subclass (direct, indirect, orvirtual) ofclassinfo.A class is considered a subclass of itself.classinfomay be a tuple of class objects (or recursively, other such tuples) or aUnion Type,in which case returnTrue
ifclassis a subclass of any entry inclassinfo.In any other case, aTypeError
exception is raised.Changed in version 3.10:classinfocan be aUnion Type.
- iter(object)¶
- iter(object,sentinel)
Return aniteratorobject. The first argument is interpreted very differently depending on the presence of the second argument. Without a second argument,objectmust be a collection object which supports the iterableprotocol (the
__iter__()
method), or it must support the sequence protocol (the__getitem__()
method with integer arguments starting at0
). If it does not support either of those protocols,TypeError
is raised. If the second argument,sentinel,is given, thenobjectmust be a callable object. The iterator created in this case will callobjectwith 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.See alsoIterator Types.
One useful application of the second form of
iter()
is to build a block-reader. For example, reading fixed-width blocks from a binary database file until the end of file is reached:fromfunctoolsimportpartial withopen('mydata.db','rb')asf: forblockiniter(partial(f.read,64),b''): process_block(block)
- len(s)¶
Return the length (the number of items) of an object. The argument may be a sequence (such as a string, bytes, tuple, list, or range) or a collection (such as a dictionary, set, or frozen set).
CPython implementation detail:
len
raisesOverflowError
on lengths larger thansys.maxsize
,such asrange(2**100)
.
- classlist
- classlist(iterable)
Rather than being a function,
list
is actually a mutable sequence type, as documented inListsandSequence Types — list, tuple, range.
- locals()¶
Return a mapping object representing the current local symbol table, with variable names as the keys, and their currently bound references as the values.
At module scope, as well as when using
exec()
oreval()
with a single namespace, this function returns the same namespace asglobals()
.At class scope, it returns the namespace that will be passed to the metaclass constructor.
When using
exec()
oreval()
with separate local and global arguments, it returns the local namespace passed in to the function call.In all of the above cases, each call to
locals()
in a given frame of execution will return thesamemapping object. Changes made through the mapping object returned fromlocals()
will be visible as assigned, reassigned, or deleted local variables, and assigning, reassigning, or deleting local variables will immediately affect the contents of the returned mapping object.In anoptimized scope(including functions, generators, and coroutines), each call to
locals()
instead returns a fresh dictionary containing the current bindings of the function’s local variables and any nonlocal cell references. In this case, name binding changes made via the returned dict arenotwritten back to the corresponding local variables or nonlocal cell references, and assigning, reassigning, or deleting local variables and nonlocal cell references doesnotaffect the contents of previously returned dictionaries.Calling
locals()
as part of a comprehension in a function, generator, or coroutine is equivalent to calling it in the containing scope, except that the comprehension’s initialised iteration variables will be included. In other scopes, it behaves as if the comprehension were running as a nested function.Calling
locals()
as part of a generator expression is equivalent to calling it in a nested generator function.Changed in version 3.12:The behaviour of
locals()
in a comprehension has been updated as described inPEP 709.Changed in version 3.13:As part ofPEP 667,the semantics of mutating the mapping objects returned from this function are now defined. The behavior in optimized scopesis now as described above. Aside from being defined, the behaviour in other scopes remains unchanged from previous versions.
- map(function,iterable,*iterables)¶
Return an iterator that appliesfunctionto every item ofiterable, yielding the results. If additionaliterablesarguments are passed, functionmust take that many arguments and is applied to the items from all iterables in parallel. With multiple iterables, the iterator stops when the shortest iterable is exhausted. For cases where the function inputs are already arranged into argument tuples, see
itertools.starmap()
.
- max(iterable,*,key=None)¶
- max(iterable,*,default,key=None)
- max(arg1,arg2,*args,key=None)
Return the largest item in an iterable or the largest of two or more arguments.
If one positional argument is provided, it should be aniterable. The largest item in the iterable is returned. If two or more positional arguments are provided, the largest of the positional arguments is returned.
There are two optional keyword-only arguments. Thekeyargument specifies a one-argument ordering function like that used for
list.sort()
.The defaultargument specifies an object to return if the provided iterable is empty. If the iterable is empty anddefaultis not provided, aValueError
is raised.If multiple items are maximal, the function returns the first one encountered. This is consistent with other sort-stability preserving tools such as
sorted(iterable,key=keyfunc,reverse=True)[0]
andheapq.nlargest(1,iterable,key=keyfunc)
.Changed in version 3.4:Added thedefaultkeyword-only parameter.
Changed in version 3.8:Thekeycan be
None
.
- classmemoryview(object)
Return a “memory view” object created from the given argument. See Memory Viewsfor more information.
- min(iterable,*,key=None)¶
- min(iterable,*,default,key=None)
- min(arg1,arg2,*args,key=None)
Return the smallest item in an iterable or the smallest of two or more arguments.
If one positional argument is provided, it should be aniterable. The smallest item in the iterable is returned. If two or more positional arguments are provided, the smallest of the positional arguments is returned.
There are two optional keyword-only arguments. Thekeyargument specifies a one-argument ordering function like that used for
list.sort()
.The defaultargument specifies an object to return if the provided iterable is empty. If the iterable is empty anddefaultis not provided, aValueError
is raised.If multiple items are minimal, the function returns the first one encountered. This is consistent with other sort-stability preserving tools such as
sorted(iterable,key=keyfunc)[0]
andheapq.nsmallest(1, iterable,key=keyfunc)
.Changed in version 3.4:Added thedefaultkeyword-only parameter.
Changed in version 3.8:Thekeycan be
None
.
- next(iterator)¶
- next(iterator,default)
Retrieve the next item from theiteratorby calling its
__next__()
method. Ifdefaultis given, it is returned if the iterator is exhausted, otherwiseStopIteration
is raised.
- classobject¶
This is the ultimate base class of all other classes. It has methods that are common to all instances of Python classes. When the constructor is called, it returns a new featureless object. The constructor does not accept any arguments.
- oct(x)¶
Convert an integer number to an octal string prefixed with “0o”. The result is a valid Python expression. Ifxis not a Python
int
object, it has to define an__index__()
method that returns an integer. For example:>>>oct(8) '0o10' >>>oct(-56) '-0o70'
If you want to convert an integer number to an octal string either with the prefix “0o” or not, you can use either of the following ways.
>>>'%#o'%10,'%o'%10 ('0o12', '12') >>>format(10,'#o'),format(10,'o') ('0o12', '12') >>>f'{10:#o}',f'{10:o}' ('0o12', '12')
See also
format()
for more information.
- open(file,mode='r',buffering=-1,encoding=None,errors=None,newline=None,closefd=True,opener=None)¶
Openfileand return a correspondingfile object.If the file cannot be opened, an
OSError
is raised. See Reading and Writing Filesfor more examples of how to use this function.fileis apath-like objectgiving the pathname (absolute or relative to the current working directory) of the file to be opened or an integer file descriptor of the file to be wrapped. (If a file descriptor is given, it is closed when the returned I/O object is closed unlessclosefd is set to
False
.)modeis an optional string that specifies the mode in which the file is opened. It defaults to
'r'
which means open for reading in text mode. Other common values are'w'
for writing (truncating the file if it already exists),'x'
for exclusive creation, and'a'
for appending (which onsomeUnix systems, means thatallwrites append to the end of the file regardless of the current seek position). In text mode, if encodingis not specified the encoding used is platform-dependent:locale.getencoding()
is called to get the current locale encoding. (For reading and writing raw bytes use binary mode and leave encodingunspecified.) The available modes are:Character
Meaning
'r'
open for reading (default)
'w'
open for writing, truncating the file first
'x'
open for exclusive creation, failing if the file already exists
'a'
open for writing, appending to the end of file if it exists
'b'
binary mode
't'
text mode (default)
'+'
open for updating (reading and writing)
The default mode is
'r'
(open for reading text, a synonym of'rt'
). Modes'w+'
and'w+b'
open and truncate the file. Modes'r+'
and'r+b'
open the file with no truncation.As mentioned in theOverview,Python distinguishes between binary and text I/O. Files opened in binary mode (including
'b'
in themode argument) return contents asbytes
objects without any decoding. In text mode (the default, or when't'
is included in themodeargument), the contents of the file are returned asstr
,the bytes having been first decoded using a platform-dependent encoding or using the specified encodingif given.Note
Python doesn’t depend on the underlying operating system’s notion of text files; all the processing is done by Python itself, and is therefore platform-independent.
bufferingis an optional integer used to set the buffering policy. Pass 0 to switch buffering off (only allowed in binary mode), 1 to select line buffering (only usable when writing in text mode), and an integer > 1 to indicate the size in bytes of a fixed-size chunk buffer. Note that specifying a buffer size this way applies for binary buffered I/O, but
TextIOWrapper
(i.e., files opened withmode='r+'
) would have another buffering. To disable buffering inTextIOWrapper
,consider using thewrite_through
flag forio.TextIOWrapper.reconfigure()
.When nobufferingargument is given, the default buffering policy works as follows:Binary files are buffered in fixed-size chunks; the size of the buffer is chosen using a heuristic trying to determine the underlying device’s “block size” and falling back on
io.DEFAULT_BUFFER_SIZE
.On many systems, the buffer will typically be 4096 or 8192 bytes long.“Interactive” text files (files for which
isatty()
returnsTrue
) use line buffering. Other text files use the policy described above for binary files.
encodingis the name of the encoding used to decode or encode the file. This should only be used in text mode. The default encoding is platform dependent (whatever
locale.getencoding()
returns), but any text encodingsupported by Python can be used. See thecodecs
module for the list of supported encodings.errorsis an optional string that specifies how encoding and decoding errors are to be handled—this cannot be used in binary mode. A variety of standard error handlers are available (listed underError Handlers), though any error handling name that has been registered with
codecs.register_error()
is also valid. The standard names include:'strict'
to raise aValueError
exception if there is an encoding error. The default value ofNone
has the same effect.'ignore'
ignores errors. Note that ignoring encoding errors can lead to data loss.'replace'
causes a replacement marker (such as'?'
) to be inserted where there is malformed data.'surrogateescape'
will represent any incorrect bytes as low surrogate code units ranging from U+DC80 to U+DCFF. These surrogate code units will then be turned back into the same bytes when thesurrogateescape
error handler is used when writing data. This is useful for processing files in an unknown encoding.'xmlcharrefreplace'
is only supported when writing to a file. Characters not supported by the encoding are replaced with the appropriate XML character reference&#nnn;
.'backslashreplace'
replaces malformed data by Python’s backslashed escape sequences.'namereplace'
(also only supported when writing) replaces unsupported characters with\N{...}
escape sequences.
newlinedetermines how to parse newline characters from the stream. It can be
None
,''
,'\n'
,'\r'
,and'\r\n'
.It works as follows:When reading input from the stream, ifnewlineis
None
,universal newlines mode is enabled. Lines in the input can end in'\n'
,'\r'
,or'\r\n'
,and these are translated into'\n'
before being returned to the caller. If it is''
,universal newlines mode is enabled, but line endings are returned to the caller untranslated. If it has any of the other legal values, input lines are only terminated by the given string, and the line ending is returned to the caller untranslated.When writing output to the stream, ifnewlineis
None
,any'\n'
characters written are translated to the system default line separator,os.linesep
.Ifnewlineis''
or'\n'
,no translation takes place. Ifnewlineis any of the other legal values, any'\n'
characters written are translated to the given string.
Ifclosefdis
False
and a file descriptor rather than a filename was given, the underlying file descriptor will be kept open when the file is closed. If a filename is givenclosefdmust beTrue
(the default); otherwise, an error will be raised.A custom opener can be used by passing a callable asopener.The underlying file descriptor for the file object is then obtained by callingopenerwith (file,flags).openermust return an open file descriptor (passing
os.open
asopenerresults in functionality similar to passingNone
).The newly created file isnon-inheritable.
The following example uses thedir_fdparameter of the
os.open()
function to open a file relative to a given directory:>>>importos >>>dir_fd=os.open('somedir',os.O_RDONLY) >>>defopener(path,flags): ...returnos.open(path,flags,dir_fd=dir_fd) ... >>>withopen('spamspam.txt','w',opener=opener)asf: ...print('This will be written to somedir/spamspam.txt',file=f) ... >>>os.close(dir_fd)# don't leak a file descriptor
The type offile objectreturned by the
open()
function depends on the mode. Whenopen()
is used to open a file in a text mode ('w'
,'r'
,'wt'
,'rt'
,etc.), it returns a subclass ofio.TextIOBase
(specificallyio.TextIOWrapper
). When used to open a file in a binary mode with buffering, the returned class is a subclass ofio.BufferedIOBase
.The exact class varies: in read binary mode, it returns anio.BufferedReader
;in write binary and append binary modes, it returns anio.BufferedWriter
,and in read/write mode, it returns anio.BufferedRandom
.When buffering is disabled, the raw stream, a subclass ofio.RawIOBase
,io.FileIO
,is returned.See also the file handling modules, such as
fileinput
,io
(whereopen()
is declared),os
,os.path
,tempfile
, andshutil
.Raises anauditing event
open
with argumentspath
,mode
,flags
.The
mode
andflags
arguments may have been modified or inferred from the original call.Changed in version 3.3:
Theopenerparameter was added.
The
'x'
mode was added.FileExistsError
is now raised if the file opened in exclusive creation mode ('x'
) already exists.
Changed in version 3.4:
The file is now non-inheritable.
Changed in version 3.5:
If the system call is interrupted and the signal handler does not raise an exception, the function now retries the system call instead of raising an
InterruptedError
exception (seePEP 475for the rationale).The
'namereplace'
error handler was added.
Changed in version 3.6:
Support added to accept objects implementing
os.PathLike
.On Windows, opening a console buffer may return a subclass of
io.RawIOBase
other thanio.FileIO
.
Changed in version 3.11:The
'U'
mode has been removed.
- ord(c)¶
Given a string representing one Unicode character, return an integer representing the Unicode code point of that character. For example,
ord('a')
returns the integer97
andord('€')
(Euro sign) returns8364
.This is the inverse ofchr()
.
- pow(base,exp,mod=None)¶
Returnbaseto the powerexp;ifmodis present, returnbaseto the powerexp,modulomod(computed more efficiently than
pow(base,exp)%mod
). The two-argument formpow(base,exp)
is equivalent to using the power operator:base**exp
.The arguments must have numeric types. With mixed operand types, the coercion rules for binary arithmetic operators apply. For
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,pow(10,2)
returns100
,butpow(10,-2)
returns0.01
.For a negative base of typeint
orfloat
and a non-integral exponent, a complex result is delivered. For example,pow(-9,0.5)
returns a value close to3j
.Whereas, for a negative base of typeint
orfloat
with an integral exponent, a float result is delivered. For example,pow(-9,2.0)
returns81.0
.For
int
operandsbaseandexp,ifmodis present,modmust also be of integer type andmodmust be nonzero. Ifmodis present and expis negative,basemust be relatively prime tomod.In that case,pow(inv_base,-exp,mod)
is returned, whereinv_baseis an inverse to basemodulomod.Here’s an example of computing an inverse for
38
modulo97
:>>>pow(38,-1,mod=97) 23 >>>23*38%97==1 True
Changed in version 3.8:For
int
operands, the three-argument form ofpow
now allows the second argument to be negative, permitting computation of modular inverses.Changed in version 3.8:Allow keyword arguments. Formerly, only positional arguments were supported.
- print(*objects,sep='',end='\n',file=None,flush=False)¶
Printobjectsto the text streamfile,separated bysepand followed byend.sep,end,file,andflush,if present, must be given as keyword arguments.
All non-keyword arguments are converted to strings like
str()
does and written to the stream, separated bysepand followed byend.Bothsep andendmust be strings; they can also beNone
,which means to use the default values. If noobjectsare given,print()
will just write end.Thefileargument must be an object with a
write(string)
method; if it is not present orNone
,sys.stdout
will be used. Since printed arguments are converted to text strings,print()
cannot be used with binary mode file objects. For these, usefile.write(...)
instead.Output buffering is usually determined byfile. However, ifflushis true, the stream is forcibly flushed.
Changed in version 3.3:Added theflushkeyword argument.
- classproperty(fget=None,fset=None,fdel=None,doc=None)¶
Return a property attribute.
fgetis a function for getting an attribute value.fsetis a function for setting an attribute value.fdelis a function for deleting an attribute value. Anddoccreates a docstring for the attribute.
A typical use is to define a managed attribute
x
:classC: def__init__(self): self._x=None defgetx(self): returnself._x defsetx(self,value): self._x=value defdelx(self): delself._x x=property(getx,setx,delx,"I'm the 'x' property.")
Ifcis an instance ofC,
c.x
will invoke the getter,c.x=value
will invoke the setter, anddelc.x
the deleter.If given,docwill be the docstring of the property attribute. Otherwise, the property will copyfget’s docstring (if it exists). This makes it possible to create read-only properties easily using
property()
as adecorator:classParrot: def__init__(self): self._voltage=100000 @property defvoltage(self): """Get the current voltage." "" returnself._voltage
The
@property
decorator turns thevoltage()
method into a “getter” for a read-only attribute with the same name, and it sets the docstring for voltageto “Get the current voltage.”- @getter¶
- @setter¶
- @deleter¶
A property object has
getter
,setter
, anddeleter
methods usable as decorators that create a copy of the property with the corresponding accessor function set to the decorated function. This is best explained with an example:classC: def__init__(self): self._x=None @property defx(self): """I'm the 'x' property." "" returnself._x @x.setter defx(self,value): self._x=value @x.deleter defx(self): delself._x
This code is exactly equivalent to the first example. Be sure to give the additional functions the same name as the original property (
x
in this case.)The returned property object also has the attributes
fget
,fset
,andfdel
corresponding to the constructor arguments.
Changed in version 3.5:The docstrings of property objects are now writeable.
- __name__¶
Attribute holding the name of the property. The name of the property can be changed at runtime.
Added in version 3.13.
- classrange(stop)
- classrange(start,stop,step=1)
Rather than being a function,
range
is actually an immutable sequence type, as documented inRangesandSequence Types — list, tuple, range.
- repr(object)¶
Return a string containing a printable representation of an object. For many types, this function makes an attempt to return a string that would yield an object with the same value when passed to
eval()
;otherwise, the representation is a string enclosed in angle brackets that contains the name of the type of the object together with additional information often including the name and address of the object. A class can control what this function returns for its instances by defining a__repr__()
method. Ifsys.displayhook()
is not accessible, this function will raiseRuntimeError
.This class has a custom representation that can be evaluated:
classPerson: def__init__(self,name,age): self.name=name self.age=age def__repr__(self): returnf"Person('{self.name}',{self.age}) "
- reversed(seq)¶
Return a reverseiterator.seqmust be an object which has a
__reversed__()
method or supports the sequence protocol (the__len__()
method and the__getitem__()
method with integer arguments starting at0
).
- round(number,ndigits=None)¶
Returnnumberrounded tondigitsprecision after the decimal point. Ifndigitsis omitted or is
None
,it returns the nearest integer to its input.For the built-in types supporting
round()
,values are rounded to the closest multiple of 10 to the power minusndigits;if two multiples are equally close, rounding is done toward the even choice (so, for example, bothround(0.5)
andround(-0.5)
are0
,andround(1.5)
is2
). Any integer value is valid forndigits(positive, zero, or negative). The return value is an integer ifndigitsis omitted orNone
. Otherwise, the return value has the same type asnumber.For a general Python object
number
,round
delegates tonumber.__round__
.Note
The behavior of
round()
for floats can be surprising: for example,round(2.675,2)
gives2.67
instead of the expected2.68
. This is not a bug: it’s a result of the fact that most decimal fractions can’t be represented exactly as a float. SeeFloating-Point Arithmetic: Issues and Limitationsfor more information.
- classset
- classset(iterable)
Return a new
set
object, optionally with elements taken from iterable.set
is a built-in class. Seeset
and Set Types — set, frozensetfor documentation about this class.For other containers see the built-in
frozenset
,list
,tuple
,anddict
classes, as well as thecollections
module.
- setattr(object,name,value)¶
This is the counterpart of
getattr()
.The arguments are an object, a string, and an arbitrary value. The string may name an existing attribute or a new attribute. The function assigns the value to the attribute, provided the object allows it. For example,setattr(x,'foobar',123)
is equivalent tox.foobar=123
.nameneed not be a Python identifier as defined inIdentifiers and keywords unless the object chooses to enforce that, for example in a custom
__getattribute__()
or via__slots__
. An attribute whose name is not an identifier will not be accessible using the dot notation, but is accessible throughgetattr()
etc..Note
Sinceprivate name manglinghappens at compilation time, one must manually mangle a private attribute’s (attributes with two leading underscores) name in order to set it with
setattr()
.
- classslice(stop)¶
- classslice(start,stop,step=None)
Return asliceobject representing the set of indices specified by
range(start,stop,step)
.Thestartandsteparguments default toNone
.- start¶
- stop¶
- step¶
Slice objects have read-only data attributes
start
,stop
,andstep
which merely return the argument values (or their default). They have no other explicit functionality; however, they are used by NumPy and other third-party packages.
Slice objects are also generated when extended indexing syntax is used. For example:
a[start:stop:step]
ora[start:stop,i]
.Seeitertools.islice()
for an alternate version that returns an iterator.
- sorted(iterable,/,*,key=None,reverse=False)¶
Return a new sorted list from the items initerable.
Has two optional arguments which must be specified as keyword arguments.
keyspecifies a function of one argument that is used to extract a comparison key from each element initerable(for example,
key=str.lower
). The default value isNone
(compare the elements directly).reverseis a boolean value. If set to
True
,then the list elements are sorted as if each comparison were reversed.Use
functools.cmp_to_key()
to convert an old-stylecmpfunction to a keyfunction.The built-in
sorted()
function is guaranteed to be stable. A sort is stable if it guarantees not to change the relative order of elements that compare equal — this is helpful for sorting in multiple passes (for example, sort by department, then by salary grade).The sort algorithm uses only
<
comparisons between items. While defining an__lt__()
method will suffice for sorting, PEP 8recommends that all sixrich comparisonsbe implemented. This will help avoid bugs when using the same data with other ordering tools such asmax()
that rely on a different underlying method. Implementing all six comparisons also helps avoid confusion for mixed type comparisons which can call reflected the__gt__()
method.For sorting examples and a brief sorting tutorial, seeSorting Techniques.
- @staticmethod¶
Transform a method into a static method.
A static method does not receive an implicit first argument. To declare a static method, use this idiom:
classC: @staticmethod deff(arg1,arg2,argN):...
The
@staticmethod
form is a functiondecorator– see Function definitionsfor details.A static method can be called either on the class (such as
C.f()
) or on an instance (such asC().f()
). Moreover, the static methoddescriptoris also callable, so it can be used in the class definition (such asf()
).Static methods in Python are similar to those found in Java or C++. Also, see
classmethod()
for a variant that is useful for creating alternate class constructors.Like all decorators, it is also possible to call
staticmethod
as a regular function and do something with its result. This is needed in some cases where you need a reference to a function from a class body and you want to avoid the automatic transformation to instance method. For these cases, use this idiom:defregular_function(): ... classC: method=staticmethod(regular_function)
For more information on static methods, seeThe standard type hierarchy.
Changed in version 3.10:Static methods now inherit the method attributes (
__module__
,__name__
,__qualname__
,__doc__
and__annotations__
), have a new__wrapped__
attribute, and are now callable as regular functions.
- classstr(object='')
- classstr(object=b'',encoding='utf-8',errors='strict')
Return a
str
version ofobject.Seestr()
for details.str
is the built-in stringclass.For general information about strings, seeText Sequence Type — str.
- sum(iterable,/,start=0)¶
Sumsstartand the items of aniterablefrom left to right and returns the total. Theiterable’s items are normally numbers, and the start value is not allowed to be a string.
For some use cases, there are good alternatives to
sum()
. The preferred, fast way to concatenate a sequence of strings is by calling''.join(sequence)
.To add floating-point values with extended precision, seemath.fsum()
.To concatenate a series of iterables, consider usingitertools.chain()
.Changed in version 3.8:Thestartparameter can be specified as a keyword argument.
Changed in version 3.12:Summation of floats switched to an algorithm that gives higher accuracy and better commutativity on most builds.
- classsuper¶
- classsuper(type,object_or_type=None)
Return a proxy object that delegates method calls to a parent or sibling class oftype.This is useful for accessing inherited methods that have been overridden in a class.
Theobject_or_typedetermines themethod resolution order to be searched. The search starts from the class right after the type.
For example, if
__mro__
ofobject_or_typeisD->B->C->A->object
and the value oftypeisB
, thensuper()
searchesC->A->object
.The
__mro__
attribute of the class corresponding to object_or_typelists the method resolution search order used by bothgetattr()
andsuper()
.The attribute is dynamic and can change whenever the inheritance hierarchy is updated.If the second argument is omitted, the super object returned is unbound. If the second argument is an object,
isinstance(obj,type)
must be true. If the second argument is a type,issubclass(type2,type)
must be true (this is useful for classmethods).When called directly within an ordinary method of a class, both arguments may be omitted ( “zero-argument
super()
”). In this case,typewill be the enclosing class, andobjwill be the first argument of the immediately enclosing function (typicallyself
). (This means that zero-argumentsuper()
will not work as expected within nested functions, including generator expressions, which implicitly create nested functions.)There are two typical use cases forsuper.In a class hierarchy with single inheritance,supercan be used to refer to parent classes without naming them explicitly, thus making the code more maintainable. This use closely parallels the use ofsuperin other programming languages.
The second use case is to support cooperative multiple inheritance in a dynamic execution environment. This use case is unique to Python and is not found in statically compiled languages or languages that only support single inheritance. This makes it possible to implement “diamond diagrams” where multiple base classes implement the same method. Good design dictates that such implementations have the same calling signature in every case (because the order of calls is determined at runtime, because that order adapts to changes in the class hierarchy, and because that order can include sibling classes that are unknown prior to runtime).
For both use cases, a typical superclass call looks like this:
classC(B): defmethod(self,arg): super().method(arg)# This does the same thing as: # super(C, self).method(arg)
In addition to method lookups,
super()
also works for attribute lookups. One possible use case for this is callingdescriptors in a parent or sibling class.Note that
super()
is implemented as part of the binding process for explicit dotted attribute lookups such assuper().__getitem__(name)
. It does so by implementing its own__getattribute__()
method for searching classes in a predictable order that supports cooperative multiple inheritance. Accordingly,super()
is undefined for implicit lookups using statements or operators such assuper()[name]
.Also note that, aside from the zero argument form,
super()
is not limited to use inside methods. The two argument form specifies the arguments exactly and makes the appropriate references. The zero argument form only works inside a class definition, as the compiler fills in the necessary details to correctly retrieve the class being defined, as well as accessing the current instance for ordinary methods.For practical suggestions on how to design cooperative classes using
super()
,seeguide to using super().
- classtuple
- classtuple(iterable)
Rather than being a function,
tuple
is actually an immutable sequence type, as documented inTuplesandSequence Types — list, tuple, range.
- classtype(object)¶
- classtype(name,bases,dict,**kwds)
With one argument, return the type of anobject.The return value is a type object and generally the same object as returned by
object.__class__
.The
isinstance()
built-in function is recommended for testing the type of an object, because it takes subclasses into account.With three arguments, return a new type object. This is essentially a dynamic form of the
class
statement. Thenamestring is the class name and becomes the__name__
attribute. Thebasestuple contains the base classes and becomes the__bases__
attribute; if empty,object
,the ultimate base of all classes, is added. Thedictdictionary contains attribute and method definitions for the class body; it may be copied or wrapped before becoming the__dict__
attribute. The following two statements create identicaltype
objects:>>>classX: ...a=1 ... >>>X=type('X',(),dict(a=1))
See also:
Keyword arguments provided to the three argument form are passed to the appropriate metaclass machinery (usually
__init_subclass__()
) in the same way that keywords in a class definition (besidesmetaclass) would.See alsoCustomizing class creation.
Changed in version 3.6:Subclasses of
type
which don’t overridetype.__new__
may no longer use the one-argument form to get the type of an object.
- vars()¶
- vars(object)
Return the
__dict__
attribute for a module, class, instance, or any other object with a__dict__
attribute.Objects such as modules and instances have an updateable
__dict__
attribute; however, other objects may have write restrictions on their__dict__
attributes (for example, classes use atypes.MappingProxyType
to prevent direct dictionary updates).Without an argument,
vars()
acts likelocals()
.A
TypeError
exception is raised if an object is specified but it doesn’t have a__dict__
attribute (for example, if its class defines the__slots__
attribute).Changed in version 3.13:The result of calling this function without an argument has been updated as described for the
locals()
builtin.
- zip(*iterables,strict=False)¶
Iterate over several iterables in parallel, producing tuples with an item from each one.
Example:
>>>foriteminzip([1,2,3],['sugar','spice','everything nice']): ...print(item) ... (1, 'sugar') (2, 'spice') (3, 'everything nice')
More formally:
zip()
returns an iterator of tuples, where thei-th tuple contains thei-th element from each of the argument iterables.Another way to think of
zip()
is that it turns rows into columns, and columns into rows. This is similar totransposing a matrix.zip()
is lazy: The elements won’t be processed until the iterable is iterated on, e.g. by afor
loop or by wrapping in alist
.One thing to consider is that the iterables passed to
zip()
could have different lengths; sometimes by design, and sometimes because of a bug in the code that prepared these iterables. Python offers three different approaches to dealing with this issue:By default,
zip()
stops when the shortest iterable is exhausted. It will ignore the remaining items in the longer iterables, cutting off the result to the length of the shortest iterable:>>>list(zip(range(3),['fee','fi','fo','fum'])) [(0, 'fee'), (1, 'fi'), (2, 'fo')]
zip()
is often used in cases where the iterables are assumed to be of equal length. In such cases, it’s recommended to use thestrict=True
option. Its output is the same as regularzip()
:>>>list(zip(('a','b','c'),(1,2,3),strict=True)) [('a', 1), ('b', 2), ('c', 3)]
Unlike the default behavior, it raises a
ValueError
if one iterable is exhausted before the others:>>>foriteminzip(range(3),['fee','fi','fo','fum'],strict=True): ...print(item) ... (0, 'fee') (1, 'fi') (2, 'fo') Traceback (most recent call last): ... ValueError:zip() argument 2 is longer than argument 1
Without the
strict=True
argument, any bug that results in iterables of different lengths will be silenced, possibly manifesting as a hard-to-find bug in another part of the program.Shorter iterables can be padded with a constant value to make all the iterables have the same length. This is done by
itertools.zip_longest()
.
Edge cases: With a single iterable argument,
zip()
returns an iterator of 1-tuples. With no arguments, it returns an empty iterator.Tips and tricks:
The left-to-right evaluation order of the iterables is guaranteed. This makes possible an idiom for clustering a data series into n-length groups using
zip(*[iter(s)]*n,strict=True)
.This repeats thesameiteratorn
times so that each output tuple has the result ofn
calls to the iterator. This has the effect of dividing the input into n-length chunks.zip()
in conjunction with the*
operator can be used to unzip a list:>>>x=[1,2,3] >>>y=[4,5,6] >>>list(zip(x,y)) [(1, 4), (2, 5), (3, 6)] >>>x2,y2=zip(*zip(x,y)) >>>x==list(x2)andy==list(y2) True
Changed in version 3.10:Added the
strict
argument.
- __import__(name,globals=None,locals=None,fromlist=(),level=0)¶
Note
This is an advanced function that is not needed in everyday Python programming, unlike
importlib.import_module()
.This function is invoked by the
import
statement. It can be replaced (by importing thebuiltins
module and assigning tobuiltins.__import__
) in order to change semantics of theimport
statement, but doing so isstronglydiscouraged as it is usually simpler to use import hooks (seePEP 302) to attain the same goals and does not cause issues with code which assumes the default import implementation is in use. Direct use of__import__()
is also discouraged in favor ofimportlib.import_module()
.The function imports the modulename,potentially using the givenglobals andlocalsto determine how to interpret the name in a package context. Thefromlistgives the names of objects or submodules that should be imported from the module given byname.The standard implementation does not use itslocalsargument at all and uses itsglobalsonly to determine the package context of the
import
statement.levelspecifies whether to use absolute or relative imports.
0
(the default) means only perform absolute imports. Positive values for levelindicate the number of parent directories to search relative to the directory of the module calling__import__()
(seePEP 328for the details).When thenamevariable is of the form
package.module
,normally, the top-level package (the name up till the first dot) is returned,notthe module named byname.However, when a non-emptyfromlistargument is given, the module named bynameis returned.For example, the statement
importspam
results in bytecode resembling the following code:spam=__import__('spam',globals(),locals(),[],0)
The statement
importspam.ham
results in this call:spam=__import__('spam.ham',globals(),locals(),[],0)
Note how
__import__()
returns the toplevel module here because this is the object that is bound to a name by theimport
statement.On the other hand, the statement
fromspam.hamimporteggs,sausageas saus
results in_temp=__import__('spam.ham',globals(),locals(),['eggs','sausage'],0) eggs=_temp.eggs saus=_temp.sausage
Here, the
spam.ham
module is returned from__import__()
.From this object, the names to import are retrieved and assigned to their respective names.If you simply want to import a module (potentially within a package) by name, use
importlib.import_module()
.Changed in version 3.3:Negative values forlevelare no longer supported (which also changes the default value to 0).
Changed in version 3.9:When the command line options
-E
or-I
are being used, the environment variablePYTHONCASEOK
is now ignored.
Footnotes