Built-in Types¶
The following sections describe the standard types that are built into theinterpreter.
The principal built-in types are numerics, sequences, mappings, classes,instances and exceptions.
Some collection classes are mutable. The methods that add, subtract, orrearrange their members in place, and don’t return a specific item, never returnthe collection instance itself butNone
.
Some operations are supported by several object types; in particular,practically all objects can be compared for equality, tested for truthvalue, and converted to a string (with therepr()
function or theslightly differentstr()
function). The latter function is implicitlyused when an object is written by theprint()
function.
Truth Value Testing¶
Any object can be tested for truth value, for use in anif
orwhile
condition or as operand of the Boolean operations below.
By default, an object is considered true unless its class defines either a__bool__()
method that returnsFalse
or a__len__()
method thatreturns zero, when called with the object.[1] Here are most of the built-inobjects considered false:
constants defined to be false:
None
andFalse
zero of any numeric type:
0
,0.0
,0j
,Decimal(0)
,Fraction(0,1)
empty sequences and collections:
''
,()
,[]
,{}
,set()
,range(0)
Operations and built-in functions that have a Boolean result always return0
orFalse
for false and1
orTrue
for true, unless otherwise stated.(Important exception: the Boolean operationsor
andand
always returnone of their operands.)
Boolean Operations —and
,or
,not
¶
These are the Boolean operations, ordered by ascending priority:
Operation | Result | Notes |
---|---|---|
| ifx is true, thenx, elsey | (1) |
| ifx is false, thenx, elsey | (2) |
| ifx is false, then | (3) |
Notes:
This is a short-circuit operator, so it only evaluates the secondargument if the first one is false.
This is a short-circuit operator, so it only evaluates the secondargument if the first one is true.
not
has a lower priority than non-Boolean operators, sonota==b
isinterpreted asnot(a==b)
, anda==notb
is a syntax error.
Comparisons¶
There are eight comparison operations in Python. They all have the samepriority (which is higher than that of the Boolean operations). Comparisons canbe chained arbitrarily; for example,x<y<=z
is equivalent tox<yandy<=z
, except thaty is evaluated only once (but in both casesz is notevaluated at all whenx<y
is found to be false).
This table summarizes the comparison operations:
Operation | Meaning |
---|---|
| strictly less than |
| less than or equal |
| strictly greater than |
| greater than or equal |
| equal |
| not equal |
| object identity |
| negated object identity |
Objects of different types, except different numeric types, never compare equal.The==
operator is always defined but for some object types (for example,class objects) is equivalent tois
. The<
,<=
,>
and>=
operators are only defined where they make sense; for example, they raise aTypeError
exception when one of the arguments is a complex number.
Non-identical instances of a class normally compare as non-equal unless theclass defines the__eq__()
method.
Instances of a class cannot be ordered with respect to other instances of thesame class, or other types of object, unless the class defines enough of themethods__lt__()
,__le__()
,__gt__()
, and__ge__()
(in general,__lt__()
and__eq__()
are sufficient, if you want the conventional meanings of thecomparison operators).
The behavior of theis
andisnot
operators cannot becustomized; also they can be applied to any two objects and never raise anexception.
Two more operations with the same syntactic priority,in
andnotin
, are supported by types that areiterable orimplement the__contains__()
method.
Numeric Types —int
,float
,complex
¶
There are three distinct numeric types:integers,floating-pointnumbers, andcomplex numbers. In addition, Booleans are asubtype of integers. Integers have unlimited precision. Floating-pointnumbers are usually implemented usingdouble in C; informationabout the precision and internal representation of floating-pointnumbers for the machine on which your program is running is availableinsys.float_info
. Complex numbers have a real and imaginarypart, which are each a floating-point number. To extract these partsfrom a complex numberz, usez.real
andz.imag
. (The standardlibrary includes the additional numeric typesfractions.Fraction
, forrationals, anddecimal.Decimal
, for floating-point numbers withuser-definable precision.)
Numbers are created by numeric literals or as the result of built-in functionsand operators. Unadorned integer literals (including hex, octal and binarynumbers) yield integers. Numeric literals containing a decimal point or anexponent sign yield floating-point numbers. Appending'j'
or'J'
to anumeric literal yields an imaginary number (a complex number with a zero realpart) which you can add to an integer or float to get a complex number with realand imaginary parts.
Python fully supports mixed arithmetic: when a binary arithmetic operator hasoperands of different numeric types, the operand with the “narrower” type iswidened to that of the other, where integer is narrower than floating point,which is narrower than complex. A comparison between numbers of different typesbehaves as though the exact values of those numbers were being compared.[2]
The constructorsint()
,float()
, andcomplex()
can be used to produce numbers of a specific type.
All numeric types (except complex) support the following operations (for priorities ofthe operations, seeOperator precedence):
Operation | Result | Notes | Full documentation |
---|---|---|---|
| sum ofx andy | ||
| difference ofx andy | ||
| product ofx andy | ||
| quotient ofx andy | ||
| floored quotient ofx andy | (1)(2) | |
| remainder of | (2) | |
| x negated | ||
| x unchanged | ||
| absolute value or magnitude ofx | ||
| x converted to integer | (3)(6) | |
| x converted to floating point | (4)(6) | |
| a complex number with real partre, imaginary partim.im defaults to zero. | (6) | |
| conjugate of the complex numberc | ||
| the pair | (2) | |
| x to the powery | (5) | |
| x to the powery | (5) |
Notes:
Also referred to as integer division. For operands of type
int
,the result has typeint
. For operands of typefloat
,the result has typefloat
. In general, the result is a wholeinteger, though the result’s type is not necessarilyint
. The result isalways rounded towards minus infinity:1//2
is0
,(-1)//2
is-1
,1//(-2)
is-1
, and(-1)//(-2)
is0
.Not for complex numbers. Instead convert to floats using
abs()
ifappropriate.Conversion from
float
toint
truncates, discarding thefractional part. See functionsmath.floor()
andmath.ceil()
foralternative conversions.float also accepts the strings “nan” and “inf” with an optional prefix “+”or “-” for Not a Number (NaN) and positive or negative infinity.
Python defines
pow(0,0)
and0**0
to be1
, as is common forprogramming languages.The numeric literals accepted include the digits
0
to9
or anyUnicode equivalent (code points with theNd
property).Seethe Unicode Standardfor a complete list of code points with the
Nd
property.
Allnumbers.Real
types (int
andfloat
) also includethe following operations:
Operation | Result |
---|---|
x truncated to | |
x rounded ton digits,rounding half to even. Ifn isomitted, it defaults to 0. | |
the greatest | |
the least |
For additional numeric operations see themath
andcmath
modules.
Bitwise Operations on Integer Types¶
Bitwise operations only make sense for integers. The result of bitwiseoperations is calculated as though carried out in two’s complement with aninfinite number of sign bits.
The priorities of the binary bitwise operations are all lower than the numericoperations and higher than the comparisons; the unary operation~
has thesame priority as the other unary numeric operations (+
and-
).
This table lists the bitwise operations sorted in ascending priority:
Operation | Result | Notes |
---|---|---|
| bitwiseor ofx andy | (4) |
| bitwiseexclusive or ofx andy | (4) |
| bitwiseand ofx andy | (4) |
| x shifted left byn bits | (1)(2) |
| x shifted right byn bits | (1)(3) |
| the bits ofx inverted |
Notes:
Negative shift counts are illegal and cause a
ValueError
to be raised.A left shift byn bits is equivalent to multiplication by
pow(2,n)
.A right shift byn bits is equivalent to floor division by
pow(2,n)
.Performing these calculations with at least one extra sign extension bit ina finite two’s complement representation (a working bit-width of
1+max(x.bit_length(),y.bit_length())
or more) is sufficient to get thesame result as if there were an infinite number of sign bits.
Additional Methods on Integer Types¶
The int type implements thenumbers.Integral
abstract baseclass. In addition, it provides a few more methods:
- int.bit_length()¶
Return the number of bits necessary to represent an integer in binary,excluding the sign and leading zeros:
>>>n=-37>>>bin(n)'-0b100101'>>>n.bit_length()6
More precisely, if
x
is nonzero, thenx.bit_length()
is theunique positive integerk
such that2**(k-1)<=abs(x)<2**k
.Equivalently, whenabs(x)
is small enough to have a correctlyrounded logarithm, thenk=1+int(log(abs(x),2))
.Ifx
is zero, thenx.bit_length()
returns0
.Equivalent to:
defbit_length(self):s=bin(self)# binary representation: bin(-37) --> '-0b100101's=s.lstrip('-0b')# remove leading zeros and minus signreturnlen(s)# len('100101') --> 6
Added in version 3.1.
- int.bit_count()¶
Return the number of ones in the binary representation of the absolutevalue of the integer. This is also known as the population count.Example:
>>>n=19>>>bin(n)'0b10011'>>>n.bit_count()3>>>(-n).bit_count()3
Equivalent to:
defbit_count(self):returnbin(self).count("1")
Added in version 3.10.
- int.to_bytes(length=1,byteorder='big',*,signed=False)¶
Return an array of bytes representing an integer.
>>>(1024).to_bytes(2,byteorder='big')b'\x04\x00'>>>(1024).to_bytes(10,byteorder='big')b'\x00\x00\x00\x00\x00\x00\x00\x00\x04\x00'>>>(-1024).to_bytes(10,byteorder='big',signed=True)b'\xff\xff\xff\xff\xff\xff\xff\xff\xfc\x00'>>>x=1000>>>x.to_bytes((x.bit_length()+7)//8,byteorder='little')b'\xe8\x03'
The integer is represented usinglength bytes, and defaults to 1. An
OverflowError
is raised if the integer is not representable withthe given number of bytes.Thebyteorder argument determines the byte order used to represent theinteger, and defaults to
"big"
. Ifbyteorder is"big"
, the most significant byte is at the beginning of the bytearray. Ifbyteorder is"little"
, the most significant byte is atthe end of the byte array.Thesigned argument determines whether two’s complement is used torepresent the integer. Ifsigned is
False
and a negative integer isgiven, anOverflowError
is raised. The default value forsignedisFalse
.The default values can be used to conveniently turn an integer into asingle byte object:
>>>(65).to_bytes()b'A'
However, when using the default arguments, don’t tryto convert a value greater than 255 or you’ll get an
OverflowError
.Equivalent to:
defto_bytes(n,length=1,byteorder='big',signed=False):ifbyteorder=='little':order=range(length)elifbyteorder=='big':order=reversed(range(length))else:raiseValueError("byteorder must be either 'little' or 'big'")returnbytes((n>>i*8)&0xffforiinorder)
Added in version 3.2.
Changed in version 3.11:Added default argument values for
length
andbyteorder
.
- classmethodint.from_bytes(bytes,byteorder='big',*,signed=False)¶
Return the integer represented by the given array of bytes.
>>>int.from_bytes(b'\x00\x10',byteorder='big')16>>>int.from_bytes(b'\x00\x10',byteorder='little')4096>>>int.from_bytes(b'\xfc\x00',byteorder='big',signed=True)-1024>>>int.from_bytes(b'\xfc\x00',byteorder='big',signed=False)64512>>>int.from_bytes([255,0,0],byteorder='big')16711680
The argumentbytes must either be abytes-like object or aniterable producing bytes.
Thebyteorder argument determines the byte order used to represent theinteger, and defaults to
"big"
. Ifbyteorder is"big"
, the most significant byte is at the beginning of the bytearray. Ifbyteorder is"little"
, the most significant byte is atthe end of the byte array. To request the native byte order of the hostsystem, usesys.byteorder
as the byte order value.Thesigned argument indicates whether two’s complement is used torepresent the integer.
Equivalent to:
deffrom_bytes(bytes,byteorder='big',signed=False):ifbyteorder=='little':little_ordered=list(bytes)elifbyteorder=='big':little_ordered=list(reversed(bytes))else:raiseValueError("byteorder must be either 'little' or 'big'")n=sum(b<<i*8fori,binenumerate(little_ordered))ifsignedandlittle_orderedand(little_ordered[-1]&0x80):n-=1<<8*len(little_ordered)returnn
Added in version 3.2.
Changed in version 3.11:Added default argument value for
byteorder
.
- int.as_integer_ratio()¶
Return a pair of integers whose ratio is equal to the originalinteger and has a positive denominator. The integer ratio of integers(whole numbers) is always the integer as the numerator and
1
as thedenominator.Added in version 3.8.
- int.is_integer()¶
Returns
True
. Exists for duck type compatibility withfloat.is_integer()
.Added in version 3.12.
Additional Methods on Float¶
The float type implements thenumbers.Real
abstract baseclass. float also has the following additional methods.
- float.as_integer_ratio()¶
Return a pair of integers whose ratio is exactly equal to theoriginal float. The ratio is in lowest terms and has a positive denominator. Raises
OverflowError
on infinities and aValueError
onNaNs.
- float.is_integer()¶
Return
True
if the float instance is finite with integralvalue, andFalse
otherwise:>>>(-2.0).is_integer()True>>>(3.2).is_integer()False
Two methods support conversion toand from hexadecimal strings. Since Python’s floats are storedinternally as binary numbers, converting a float to or from adecimal string usually involves a small rounding error. Incontrast, hexadecimal strings allow exact representation andspecification of floating-point numbers. This can be useful whendebugging, and in numerical work.
- float.hex()¶
Return a representation of a floating-point number as a hexadecimalstring. For finite floating-point numbers, this representationwill always include a leading
0x
and a trailingp
andexponent.
- classmethodfloat.fromhex(s)¶
Class method to return the float represented by a hexadecimalstrings. The strings may have leading and trailingwhitespace.
Note thatfloat.hex()
is an instance method, whilefloat.fromhex()
is a class method.
A hexadecimal string takes the form:
[sign]['0x']integer['.'fraction]['p'exponent]
where the optionalsign
may by either+
or-
,integer
andfraction
are strings of hexadecimal digits, andexponent
is a decimal integer with an optional leading sign. Case is notsignificant, and there must be at least one hexadecimal digit ineither the integer or the fraction. This syntax is similar to thesyntax specified in section 6.4.4.2 of the C99 standard, and also tothe syntax used in Java 1.5 onwards. In particular, the output offloat.hex()
is usable as a hexadecimal floating-point literal inC or Java code, and hexadecimal strings produced by C’s%a
formatcharacter or Java’sDouble.toHexString
are accepted byfloat.fromhex()
.
Note that the exponent is written in decimal rather than hexadecimal,and that it gives the power of 2 by which to multiply the coefficient.For example, the hexadecimal string0x3.a7p10
represents thefloating-point number(3+10./16+7./16**2)*2.0**10
, or3740.0
:
>>>float.fromhex('0x3.a7p10')3740.0
Applying the reverse conversion to3740.0
gives a differenthexadecimal string representing the same number:
>>>float.hex(3740.0)'0x1.d380000000000p+11'
Hashing of numeric types¶
For numbersx
andy
, possibly of different types, it’s a requirementthathash(x)==hash(y)
wheneverx==y
(see the__hash__()
method documentation for more details). For ease of implementation andefficiency across a variety of numeric types (includingint
,float
,decimal.Decimal
andfractions.Fraction
)Python’s hash for numeric types is based on a single mathematical functionthat’s defined for any rational number, and hence applies to all instances ofint
andfractions.Fraction
, and all finite instances offloat
anddecimal.Decimal
. Essentially, this function isgiven by reduction moduloP
for a fixed primeP
. The value ofP
ismade available to Python as themodulus
attribute ofsys.hash_info
.
CPython implementation detail: Currently, the prime used isP=2**31-1
on machines with 32-bit Clongs andP=2**61-1
on machines with 64-bit C longs.
Here are the rules in detail:
If
x=m/n
is a nonnegative rational number andn
is not divisiblebyP
, definehash(x)
asm*invmod(n,P)%P
, whereinvmod(n,P)
gives the inverse ofn
moduloP
.If
x=m/n
is a nonnegative rational number andn
isdivisible byP
(butm
is not) thenn
has no inversemoduloP
and the rule above doesn’t apply; in this case definehash(x)
to be the constant valuesys.hash_info.inf
.If
x=m/n
is a negative rational number definehash(x)
as-hash(-x)
. If the resulting hash is-1
, replace it with-2
.The particular values
sys.hash_info.inf
and-sys.hash_info.inf
are used as hash values for positiveinfinity or negative infinity (respectively).For a
complex
numberz
, the hash values of the realand imaginary parts are combined by computinghash(z.real)+sys.hash_info.imag*hash(z.imag)
, reduced modulo2**sys.hash_info.width
so that it lies inrange(-2**(sys.hash_info.width-1),2**(sys.hash_info.width-1))
. Again, if the result is-1
, it’s replaced with-2
.
To clarify the above rules, here’s some example Python code,equivalent to the built-in hash, for computing the hash of a rationalnumber,float
, orcomplex
:
importsys,mathdefhash_fraction(m,n):"""Compute the hash of a rational number m / n. Assumes m and n are integers, with n positive. Equivalent to hash(fractions.Fraction(m, n)). """P=sys.hash_info.modulus# Remove common factors of P. (Unnecessary if m and n already coprime.)whilem%P==n%P==0:m,n=m//P,n//Pifn%P==0:hash_value=sys.hash_info.infelse:# Fermat's Little Theorem: pow(n, P-1, P) is 1, so# pow(n, P-2, P) gives the inverse of n modulo P.hash_value=(abs(m)%P)*pow(n,P-2,P)%Pifm<0:hash_value=-hash_valueifhash_value==-1:hash_value=-2returnhash_valuedefhash_float(x):"""Compute the hash of a float x."""ifmath.isnan(x):returnobject.__hash__(x)elifmath.isinf(x):returnsys.hash_info.infifx>0else-sys.hash_info.infelse:returnhash_fraction(*x.as_integer_ratio())defhash_complex(z):"""Compute the hash of a complex number z."""hash_value=hash_float(z.real)+sys.hash_info.imag*hash_float(z.imag)# do a signed reduction modulo 2**sys.hash_info.widthM=2**(sys.hash_info.width-1)hash_value=(hash_value&(M-1))-(hash_value&M)ifhash_value==-1:hash_value=-2returnhash_value
Boolean Type -bool
¶
Booleans represent truth values. Thebool
type has exactly twoconstant instances:True
andFalse
.
The built-in functionbool()
converts any value to a boolean, if thevalue can be interpreted as a truth value (see sectionTruth Value Testing above).
For logical operations, use theboolean operatorsand
,or
andnot
.When applying the bitwise operators&
,|
,^
to two booleans, theyreturn a bool equivalent to the logical operations “and”, “or”, “xor”. However,the logical operatorsand
,or
and!=
should be preferredover&
,|
and^
.
Deprecated since version 3.12:The use of the bitwise inversion operator~
is deprecated and willraise an error in Python 3.16.
bool
is a subclass ofint
(seeNumeric Types — int, float, complex). Inmany numeric contexts,False
andTrue
behave like the integers 0 and 1, respectively.However, relying on this is discouraged; explicitly convert usingint()
instead.
Iterator Types¶
Python supports a concept of iteration over containers. This is implementedusing two distinct methods; these are used to allow user-defined classes tosupport iteration. Sequences, described below in more detail, always supportthe iteration methods.
One method needs to be defined for container objects to provideiterablesupport:
- container.__iter__()¶
Return aniterator object. The object is required to support theiterator protocol described below. If a container supports different typesof iteration, additional methods can be provided to specifically requestiterators for those iteration types. (An example of an object supportingmultiple forms of iteration would be a tree structure which supports bothbreadth-first and depth-first traversal.) This method corresponds to the
tp_iter
slot of the type structure for Pythonobjects in the Python/C API.
The iterator objects themselves are required to support the following twomethods, which together form theiterator protocol:
- iterator.__iter__()¶
Return theiterator object itself. This is required to allow bothcontainers and iterators to be used with the
for
andin
statements. This method corresponds to thetp_iter
slot of the type structure for Pythonobjects in the Python/C API.
- iterator.__next__()¶
Return the next item from theiterator. If there are no furtheritems, raise the
StopIteration
exception. This method corresponds tothetp_iternext
slot of the type structure forPython objects in the Python/C API.
Python defines several iterator objects to support iteration over general andspecific sequence types, dictionaries, and other more specialized forms. Thespecific types are not important beyond their implementation of the iteratorprotocol.
Once an iterator’s__next__()
method raisesStopIteration
, it must continue to do so on subsequent calls.Implementations that do not obey this property are deemed broken.
Generator Types¶
Python’sgenerators provide a convenient way to implement the iteratorprotocol. If a container object’s__iter__()
method is implemented as agenerator, it will automatically return an iterator object (technically, agenerator object) supplying the__iter__()
and__next__()
methods.More information about generators can be found inthe documentation forthe yield expression.
Sequence Types —list
,tuple
,range
¶
There are three basic sequence types: lists, tuples, and range objects.Additional sequence types tailored for processing ofbinary data andtext strings aredescribed in dedicated sections.
Common Sequence Operations¶
The operations in the following table are supported by most sequence types,both mutable and immutable. Thecollections.abc.Sequence
ABC isprovided to make it easier to correctly implement these operations oncustom sequence types.
This table lists the sequence operations sorted in ascending priority. In thetable,s andt are sequences of the same type,n,i,j andk areintegers andx is an arbitrary object that meets any type and valuerestrictions imposed bys.
Thein
andnotin
operations have the same priorities as thecomparison operations. The+
(concatenation) and*
(repetition)operations have the same priority as the corresponding numeric operations.[3]
Operation | Result | Notes |
---|---|---|
|
| (1) |
|
| (1) |
| the concatenation ofs andt | (6)(7) |
| equivalent to addings toitselfn times | (2)(7) |
| ith item ofs, origin 0 | (3) |
| slice ofs fromi toj | (3)(4) |
| slice ofs fromi tojwith stepk | (3)(5) |
| length ofs | |
| smallest item ofs | |
| largest item ofs | |
| index of the first occurrenceofx ins (at or afterindexi and before indexj) | (8) |
| total number of occurrences ofx ins |
Sequences of the same type also support comparisons. In particular, tuplesand lists are compared lexicographically by comparing corresponding elements.This means that to compare equal, every element must compare equal and thetwo sequences must be of the same type and have the same length. (For fulldetails seeComparisons in the language reference.)
Forward and reversed iterators over mutable sequences access values using anindex. That index will continue to march forward (or backward) even if theunderlying sequence is mutated. The iterator terminates only when anIndexError
or aStopIteration
is encountered (or when the indexdrops below zero).
Notes:
While the
in
andnotin
operations are used only for simplecontainment testing in the general case, some specialised sequences(such asstr
,bytes
andbytearray
) also usethem for subsequence testing:>>>"gg"in"eggs"True
Values ofn less than
0
are treated as0
(which yields an emptysequence of the same type ass). Note that items in the sequencesare not copied; they are referenced multiple times. This often hauntsnew Python programmers; consider:>>>lists=[[]]*3>>>lists[[], [], []]>>>lists[0].append(3)>>>lists[[3], [3], [3]]
What has happened is that
[[]]
is a one-element list containing an emptylist, so all three elements of[[]]*3
are references to this single emptylist. Modifying any of the elements oflists
modifies this single list.You can create a list of different lists this way:>>>lists=[[]foriinrange(3)]>>>lists[0].append(3)>>>lists[1].append(5)>>>lists[2].append(7)>>>lists[[3], [5], [7]]
Further explanation is available in the FAQ entryHow do I create a multidimensional list?.
Ifi orj is negative, the index is relative to the end of sequences:
len(s)+i
orlen(s)+j
is substituted. But note that-0
isstill0
.The slice ofs fromi toj is defined as the sequence of items with indexk such that
i<=k<j
. Ifi orj is greater thanlen(s)
, uselen(s)
. Ifi is omitted orNone
, use0
. Ifj is omitted orNone
, uselen(s)
. Ifi is greater than or equal toj, the slice isempty.The slice ofs fromi toj with stepk is defined as the sequence ofitems with index
x=i+n*k
such that0<=n<(j-i)/k
. In other words,the indices arei
,i+k
,i+2*k
,i+3*k
and so on, stopping whenj is reached (but never includingj). Whenk is positive,i andj are reduced tolen(s)
if they are greater.Whenk is negative,i andj are reduced tolen(s)-1
ifthey are greater. Ifi orj are omitted orNone
, they become“end” values (which end depends on the sign ofk). Note,k cannot be zero.Ifk isNone
, it is treated like1
.Concatenating immutable sequences always results in a new object. Thismeans that building up a sequence by repeated concatenation will have aquadratic runtime cost in the total sequence length. To get a linearruntime cost, you must switch to one of the alternatives below:
if concatenating
str
objects, you can build a list and usestr.join()
at the end or else write to anio.StringIO
instance and retrieve its value when completeif concatenating
bytes
objects, you can similarly usebytes.join()
orio.BytesIO
, or you can do in-placeconcatenation with abytearray
object.bytearray
objects are mutable and have an efficient overallocation mechanismfor other types, investigate the relevant class documentation
Some sequence types (such as
range
) only support item sequencesthat follow specific patterns, and hence don’t support sequenceconcatenation or repetition.index
raisesValueError
whenx is not found ins.Not all implementations support passing the additional argumentsi andj.These arguments allow efficient searching of subsections of the sequence. Passingthe extra arguments is roughly equivalent to usings[i:j].index(x)
, onlywithout copying any data and with the returned index being relative tothe start of the sequence rather than the start of the slice.
Immutable Sequence Types¶
The only operation that immutable sequence types generally implement that isnot also implemented by mutable sequence types is support for thehash()
built-in.
This support allows immutable sequences, such astuple
instances, tobe used asdict
keys and stored inset
andfrozenset
instances.
Attempting to hash an immutable sequence that contains unhashable values willresult inTypeError
.
Mutable Sequence Types¶
The operations in the following table are defined on mutable sequence types.Thecollections.abc.MutableSequence
ABC is provided to make iteasier to correctly implement these operations on custom sequence types.
In the tables is an instance of a mutable sequence type,t is anyiterable object andx is an arbitrary object that meets any typeand value restrictions imposed bys (for example,bytearray
onlyaccepts integers that meet the value restriction0<=x<=255
).
Operation | Result | Notes |
---|---|---|
| itemi ofs is replaced byx | |
| slice ofs fromi tojis replaced by the contents ofthe iterablet | |
| same as | |
| the elements of | (1) |
| removes the elements of | |
| appendsx to the end of thesequence (same as | |
| removes all items froms(same as | (5) |
| creates a shallow copy ofs(same as | (5) |
| extendss with thecontents oft (for themost part the same as | |
| updatess with its contentsrepeatedn times | (6) |
| insertsx intos at theindex given byi(same as | |
| retrieves the item ati andalso removes it froms | (2) |
| removes the first item froms where | (3) |
| reverses the items ofs inplace | (4) |
Notes:
Ifk is not equal to
1
,t must have the same length as the slice it is replacing.The optional argumenti defaults to
-1
, so that by default the lastitem is removed and returned.remove()
raisesValueError
whenx is not found ins.The
reverse()
method modifies the sequence in place for economy ofspace when reversing a large sequence. To remind users that it operates byside effect, it does not return the reversed sequence.clear()
andcopy()
are included for consistency with theinterfaces of mutable containers that don’t support slicing operations(such asdict
andset
).copy()
is not part of thecollections.abc.MutableSequence
ABC, but most concretemutable sequence classes provide it.Added in version 3.3:
clear()
andcopy()
methods.The valuen is an integer, or an object implementing
__index__()
. Zero and negative values ofn clearthe sequence. Items in the sequence are not copied; they are referencedmultiple times, as explained fors*n
underCommon Sequence Operations.
Lists¶
Lists are mutable sequences, typically used to store collections ofhomogeneous items (where the precise degree of similarity will vary byapplication).
- classlist([iterable])¶
Lists may be constructed in several ways:
Using a pair of square brackets to denote the empty list:
[]
Using square brackets, separating items with commas:
[a]
,[a,b,c]
Using a list comprehension:
[xforxiniterable]
Using the type constructor:
list()
orlist(iterable)
The constructor builds a list whose items are the same and in the sameorder asiterable’s items.iterable may be either a sequence, acontainer that supports iteration, or an iterator object. Ifiterableis already a list, a copy is made and returned, similar to
iterable[:]
.For example,list('abc')
returns['a','b','c']
andlist((1,2,3))
returns[1,2,3]
.If no argument is given, the constructor creates a new empty list,[]
.Many other operations also produce lists, including the
sorted()
built-in.Lists implement all of thecommon andmutable sequence operations. Lists also provide thefollowing additional method:
- sort(*,key=None,reverse=False)¶
This method sorts the list in place, using only
<
comparisonsbetween items. Exceptions are not suppressed - if any comparison operationsfail, the entire sort operation will fail (and the list will likely be leftin a partially modified state).sort()
accepts two arguments that can only be passed by keyword(keyword-only arguments):key specifies a function of one argument that is used to extract acomparison key from each list element (for example,
key=str.lower
).The key corresponding to each item in the list is calculated once andthen used for the entire sorting process. The default value ofNone
means that list items are sorted directly without calculating a separatekey value.The
functools.cmp_to_key()
utility is available to convert a 2.xstylecmp function to akey function.reverse is a boolean value. If set to
True
, then the list elementsare sorted as if each comparison were reversed.This method modifies the sequence in place for economy of space whensorting a large sequence. To remind users that it operates by sideeffect, it does not return the sorted sequence (use
sorted()
toexplicitly request a new sorted list instance).The
sort()
method is guaranteed to be stable. A sort is stable if itguarantees not to change the relative order of elements that compare equal— this is helpful for sorting in multiple passes (for example, sort bydepartment, then by salary grade).For sorting examples and a brief sorting tutorial, seeSorting Techniques.
CPython implementation detail: While a list is being sorted, the effect of attempting to mutate, or eveninspect, the list is undefined. The C implementation of Python makes thelist appear empty for the duration, and raises
ValueError
if it candetect that the list has been mutated during a sort.
Tuples¶
Tuples are immutable sequences, typically used to store collections ofheterogeneous data (such as the 2-tuples produced by theenumerate()
built-in). Tuples are also used for cases where an immutable sequence ofhomogeneous data is needed (such as allowing storage in aset
ordict
instance).
- classtuple([iterable])¶
Tuples may be constructed in a number of ways:
Using a pair of parentheses to denote the empty tuple:
()
Using a trailing comma for a singleton tuple:
a,
or(a,)
Separating items with commas:
a,b,c
or(a,b,c)
Using the
tuple()
built-in:tuple()
ortuple(iterable)
The constructor builds a tuple whose items are the same and in the sameorder asiterable’s items.iterable may be either a sequence, acontainer that supports iteration, or an iterator object. Ifiterableis already a tuple, it is returned unchanged. For example,
tuple('abc')
returns('a','b','c')
andtuple([1,2,3])
returns(1,2,3)
.If no argument is given, the constructor creates a new empty tuple,()
.Note that it is actually the comma which makes a tuple, not the parentheses.The parentheses are optional, except in the empty tuple case, orwhen they are needed to avoid syntactic ambiguity. For example,
f(a,b,c)
is a function call with three arguments, whilef((a,b,c))
is a function call with a 3-tuple as the sole argument.Tuples implement all of thecommon sequenceoperations.
For heterogeneous collections of data where access by name is clearer thanaccess by index,collections.namedtuple()
may be a more appropriatechoice than a simple tuple object.
Ranges¶
Therange
type represents an immutable sequence of numbers and iscommonly used for looping a specific number of times infor
loops.
- classrange(stop)¶
- classrange(start,stop[,step])
The arguments to the range constructor must be integers (either built-in
int
or any object that implements the__index__()
specialmethod). If thestep argument is omitted, it defaults to1
.If thestart argument is omitted, it defaults to0
.Ifstep is zero,ValueError
is raised.For a positivestep, the contents of a range
r
are determined by theformular[i]=start+step*i
wherei>=0
andr[i]<stop
.For a negativestep, the contents of the range are still determined bythe formula
r[i]=start+step*i
, but the constraints arei>=0
andr[i]>stop
.A range object will be empty if
r[0]
does not meet the valueconstraint. Ranges do support negative indices, but these are interpretedas indexing from the end of the sequence determined by the positiveindices.Ranges containing absolute values larger than
sys.maxsize
arepermitted but some features (such aslen()
) may raiseOverflowError
.Range examples:
>>>list(range(10))[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]>>>list(range(1,11))[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]>>>list(range(0,30,5))[0, 5, 10, 15, 20, 25]>>>list(range(0,10,3))[0, 3, 6, 9]>>>list(range(0,-10,-1))[0, -1, -2, -3, -4, -5, -6, -7, -8, -9]>>>list(range(0))[]>>>list(range(1,0))[]
Ranges implement all of thecommon sequence operationsexcept concatenation and repetition (due to the fact that range objects canonly represent sequences that follow a strict pattern and repetition andconcatenation will usually violate that pattern).
- start¶
The value of thestart parameter (or
0
if the parameter wasnot supplied)
- stop¶
The value of thestop parameter
- step¶
The value of thestep parameter (or
1
if the parameter wasnot supplied)
The advantage of therange
type over a regularlist
ortuple
is that arange
object will always take the same(small) amount of memory, no matter the size of the range it represents (as itonly stores thestart
,stop
andstep
values, calculating individualitems and subranges as needed).
Range objects implement thecollections.abc.Sequence
ABC, and providefeatures such as containment tests, element index lookup, slicing andsupport for negative indices (seeSequence Types — list, tuple, range):
>>>r=range(0,20,2)>>>rrange(0, 20, 2)>>>11inrFalse>>>10inrTrue>>>r.index(10)5>>>r[5]10>>>r[:5]range(0, 10, 2)>>>r[-1]18
Testing range objects for equality with==
and!=
comparesthem as sequences. That is, two range objects are considered equal ifthey represent the same sequence of values. (Note that two rangeobjects that compare equal might have differentstart
,stop
andstep
attributes, for examplerange(0)==range(2,1,3)
orrange(0,3,2)==range(0,4,2)
.)
Changed in version 3.2:Implement the Sequence ABC.Support slicing and negative indices.Testint
objects for membership in constant time instead ofiterating through all items.
Changed in version 3.3:Define ‘==’ and ‘!=’ to compare range objects based on thesequence of values they define (instead of comparing based onobject identity).
See also
Thelinspace recipeshows how to implement a lazy version of range suitable for floating-pointapplications.
Text Sequence Type —str
¶
Textual data in Python is handled withstr
objects, orstrings.Strings are immutablesequences of Unicode code points. String literals arewritten in a variety of ways:
Single quotes:
'allowsembedded"double"quotes'
Double quotes:
"allowsembedded'single'quotes"
Triple quoted:
'''Threesinglequotes'''
,"""Threedoublequotes"""
Triple quoted strings may span multiple lines - all associated whitespace willbe included in the string literal.
String literals that are part of a single expression and have only whitespacebetween them will be implicitly converted to a single string literal. Thatis,("spam""eggs")=="spameggs"
.
SeeString and Bytes literals for more about the various forms of string literal,including supportedescape sequences, and ther
(“raw”) prefix thatdisables most escape sequence processing.
Strings may also be created from other objects using thestr
constructor.
Since there is no separate “character” type, indexing a string producesstrings of length 1. That is, for a non-empty strings,s[0]==s[0:1]
.
There is also no mutable string type, butstr.join()
orio.StringIO
can be used to efficiently construct strings frommultiple fragments.
Changed in version 3.3:For backwards compatibility with the Python 2 series, theu
prefix isonce again permitted on string literals. It has no effect on the meaningof string literals and cannot be combined with ther
prefix.
- classstr(object='')¶
- classstr(object=b'',encoding='utf-8',errors='strict')
Return astring version ofobject. Ifobject is notprovided, returns the empty string. Otherwise, the behavior of
str()
depends on whetherencoding orerrors is given, as follows.If neitherencoding norerrors is given,
str(object)
returnstype(object).__str__(object)
,which is the “informal” or nicelyprintable string representation ofobject. For string objects, this isthe string itself. Ifobject does not have a__str__()
method, thenstr()
falls back to returningrepr(object)
.If at least one ofencoding orerrors is given,object should be abytes-like object (e.g.
bytes
orbytearray
). Inthis case, ifobject is abytes
(orbytearray
) object,thenstr(bytes,encoding,errors)
is equivalent tobytes.decode(encoding,errors)
. Otherwise, the bytesobject underlying the buffer object is obtained before callingbytes.decode()
. SeeBinary Sequence Types — bytes, bytearray, memoryview andBuffer Protocol for information on buffer objects.Passing a
bytes
object tostr()
without theencodingorerrors arguments falls under the first case of returning the informalstring representation (see also the-b
command-line option toPython). For example:>>>str(b'Zoot!')"b'Zoot!'"
For more information on the
str
class and its methods, seeText Sequence Type — str and theString Methods section below. To outputformatted strings, see thef-strings andFormat String Syntaxsections. In addition, see theText Processing Services section.
String Methods¶
Strings implement all of thecommon sequenceoperations, along with the additional methods described below.
Strings also support two styles of string formatting, one providing a largedegree of flexibility and customization (seestr.format()
,Format String Syntax andCustom String Formatting) and the other based on Cprintf
style formatting that handles a narrower range of types and isslightly harder to use correctly, but is often faster for the cases it canhandle (printf-style String Formatting).
TheText Processing Services section of the standard library covers a number ofother modules that provide various text related utilities (including regularexpression support in there
module).
- str.capitalize()¶
Return a copy of the string with its first character capitalized and therest lowercased.
Changed in version 3.8:The first character is now put into titlecase rather than uppercase.This means that characters like digraphs will only have their firstletter capitalized, instead of the full character.
- str.casefold()¶
Return a casefolded copy of the string. Casefolded strings may be used forcaseless matching.
Casefolding is similar to lowercasing but more aggressive because it isintended to remove all case distinctions in a string. For example, the Germanlowercase letter
'ß'
is equivalent to"ss"
. Since it is alreadylowercase,lower()
would do nothing to'ß'
;casefold()
converts it to"ss"
.The casefolding algorithm isdescribed in section 3.13 ‘Default Case Folding’ of the Unicode Standard.
Added in version 3.3.
- str.center(width[,fillchar])¶
Return centered in a string of lengthwidth. Padding is done using thespecifiedfillchar (default is an ASCII space). The original string isreturned ifwidth is less than or equal to
len(s)
.
- str.count(sub[,start[,end]])¶
Return the number of non-overlapping occurrences of substringsub in therange [start,end]. Optional argumentsstart andend areinterpreted as in slice notation.
Ifsub is empty, returns the number of empty strings between characterswhich is the length of the string plus one.
- str.encode(encoding='utf-8',errors='strict')¶
Return the string encoded to
bytes
.encoding defaults to
'utf-8'
;seeStandard Encodings for possible values.errors controls how encoding errors are handled.If
'strict'
(the default), aUnicodeError
exception is raised.Other possible values are'ignore'
,'replace'
,'xmlcharrefreplace'
,'backslashreplace'
and anyother name registered viacodecs.register_error()
.SeeError Handlers for details.For performance reasons, the value oferrors is not checked for validityunless an encoding error actually occurs,Python Development Mode is enabledor adebug build is used.
Changed in version 3.1:Added support for keyword arguments.
Changed in version 3.9:The value of theerrors argument is now checked inPython Development Mode andindebug mode.
- str.endswith(suffix[,start[,end]])¶
Return
True
if the string ends with the specifiedsuffix, otherwise returnFalse
.suffix can also be a tuple of suffixes to look for. With optionalstart, test beginning at that position. With optionalend, stop comparingat that position.
- str.expandtabs(tabsize=8)¶
Return a copy of the string where all tab characters are replaced by one ormore spaces, depending on the current column and the given tab size. Tabpositions occur everytabsize characters (default is 8, giving tabpositions at columns 0, 8, 16 and so on). To expand the string, the currentcolumn is set to zero and the string is examined character by character. Ifthe character is a tab (
\t
), one or more space characters are insertedin the result until the current column is equal to the next tab position.(The tab character itself is not copied.) If the character is a newline(\n
) or return (\r
), it is copied and the current column is reset tozero. Any other character is copied unchanged and the current column isincremented by one regardless of how the character is represented whenprinted.>>>'01\t012\t0123\t01234'.expandtabs()'01 012 0123 01234'>>>'01\t012\t0123\t01234'.expandtabs(4)'01 012 0123 01234'
- str.find(sub[,start[,end]])¶
Return the lowest index in the string where substringsub is found withinthe slice
s[start:end]
. Optional argumentsstart andend areinterpreted as in slice notation. Return-1
ifsub is not found.
- str.format(*args,**kwargs)¶
Perform a string formatting operation. The string on which this method iscalled can contain literal text or replacement fields delimited by braces
{}
. Each replacement field contains either the numeric index of apositional argument, or the name of a keyword argument. Returns a copy ofthe string where each replacement field is replaced with the string value ofthe corresponding argument.>>>"The sum of 1 + 2 is{0}".format(1+2)'The sum of 1 + 2 is 3'
SeeFormat String Syntax for a description of the various formatting optionsthat can be specified in format strings.
Note
When formatting a number (
int
,float
,complex
,decimal.Decimal
and subclasses) with then
type(ex:'{:n}'.format(1234)
), the function temporarily sets theLC_CTYPE
locale to theLC_NUMERIC
locale to decodedecimal_point
andthousands_sep
fields oflocaleconv()
ifthey are non-ASCII or longer than 1 byte, and theLC_NUMERIC
locale isdifferent than theLC_CTYPE
locale. This temporary change affectsother threads.Changed in version 3.7:When formatting a number with the
n
type, the function setstemporarily theLC_CTYPE
locale to theLC_NUMERIC
locale in somecases.
- str.format_map(mapping,/)¶
Similar to
str.format(**mapping)
, except thatmapping
isused directly and not copied to adict
. This is usefulif for examplemapping
is a dict subclass:>>>classDefault(dict):...def__missing__(self,key):...returnkey...>>>'{name} was born in{country}'.format_map(Default(name='Guido'))'Guido was born in country'
Added in version 3.2.
- str.index(sub[,start[,end]])¶
Like
find()
, but raiseValueError
when the substring isnot found.
- str.isalnum()¶
Return
True
if all characters in the string are alphanumeric and there is atleast one character,False
otherwise. A characterc
is alphanumeric if oneof the following returnsTrue
:c.isalpha()
,c.isdecimal()
,c.isdigit()
, orc.isnumeric()
.
- str.isalpha()¶
Return
True
if all characters in the string are alphabetic and there is at leastone character,False
otherwise. Alphabetic characters are those characters definedin the Unicode character database as “Letter”, i.e., those with general categoryproperty being one of “Lm”, “Lt”, “Lu”, “Ll”, or “Lo”. Note that this is differentfrom theAlphabetic property defined in the section 4.10 ‘Letters, Alphabetic, andIdeographic’ of the Unicode Standard.
- str.isascii()¶
Return
True
if the string is empty or all characters in the string are ASCII,False
otherwise.ASCII characters have code points in the range U+0000-U+007F.Added in version 3.7.
- str.isdecimal()¶
Return
True
if all characters in the string are decimalcharacters and there is at least one character,False
otherwise. Decimal characters are those that can be used to formnumbers in base 10, e.g. U+0660, ARABIC-INDIC DIGITZERO. Formally a decimal character is a character in the UnicodeGeneral Category “Nd”.
- str.isdigit()¶
Return
True
if all characters in the string are digits and there is at least onecharacter,False
otherwise. Digits include decimal characters and digits that needspecial handling, such as the compatibility superscript digits.This covers digits which cannot be used to form numbers in base 10,like the Kharosthi numbers. Formally, a digit is a character that has theproperty value Numeric_Type=Digit or Numeric_Type=Decimal.
- str.isidentifier()¶
Return
True
if the string is a valid identifier according to the languagedefinition, sectionIdentifiers and keywords.keyword.iskeyword()
can be used to test whether strings
is a reservedidentifier, such asdef
andclass
.Example:
>>>fromkeywordimportiskeyword>>>'hello'.isidentifier(),iskeyword('hello')(True, False)>>>'def'.isidentifier(),iskeyword('def')(True, True)
- str.islower()¶
Return
True
if all cased characters[4] in the string are lowercase andthere is at least one cased character,False
otherwise.
- str.isnumeric()¶
Return
True
if all characters in the string are numericcharacters, and there is at least one character,False
otherwise. Numeric characters include digit characters, and all charactersthat have the Unicode numeric value property, e.g. U+2155,VULGAR FRACTION ONE FIFTH. Formally, numeric characters are those with the propertyvalue Numeric_Type=Digit, Numeric_Type=Decimal or Numeric_Type=Numeric.
- str.isprintable()¶
Return
True
if all characters in the string are printable,False
if itcontains at least one non-printable character.Here “printable” means the character is suitable for
repr()
to use inits output; “non-printable” means thatrepr()
on built-in types willhex-escape the character. It has no bearing on the handling of stringswritten tosys.stdout
orsys.stderr
.The printable characters are those which in the Unicode character database(see
unicodedata
) have a general category in group Letter, Mark,Number, Punctuation, or Symbol (L, M, N, P, or S); plus the ASCII space 0x20.Nonprintable characters are those in group Separator or Other (Z or C),except the ASCII space.
- str.isspace()¶
Return
True
if there are only whitespace characters in the string and there isat least one character,False
otherwise.A character iswhitespace if in the Unicode character database(see
unicodedata
), either its general category isZs
(“Separator, space”), or its bidirectional class is one ofWS
,B
, orS
.
- str.istitle()¶
Return
True
if the string is a titlecased string and there is at least onecharacter, for example uppercase characters may only follow uncased charactersand lowercase characters only cased ones. ReturnFalse
otherwise.
- str.isupper()¶
Return
True
if all cased characters[4] in the string are uppercase andthere is at least one cased character,False
otherwise.>>>'BANANA'.isupper()True>>>'banana'.isupper()False>>>'baNana'.isupper()False>>>' '.isupper()False
- str.join(iterable)¶
Return a string which is the concatenation of the strings initerable.A
TypeError
will be raised if there are any non-string values initerable, includingbytes
objects. The separator betweenelements is the string providing this method.
- str.ljust(width[,fillchar])¶
Return the string left justified in a string of lengthwidth. Padding isdone using the specifiedfillchar (default is an ASCII space). Theoriginal string is returned ifwidth is less than or equal to
len(s)
.
- str.lower()¶
Return a copy of the string with all the cased characters[4] converted tolowercase.
The lowercasing algorithm used isdescribed in section 3.13 ‘Default Case Folding’ of the Unicode Standard.
- str.lstrip([chars])¶
Return a copy of the string with leading characters removed. Thecharsargument is a string specifying the set of characters to be removed. If omittedor
None
, thechars argument defaults to removing whitespace. Thecharsargument is not a prefix; rather, all combinations of its values are stripped:>>>' spacious '.lstrip()'spacious '>>>'www.example.com'.lstrip('cmowz.')'example.com'
See
str.removeprefix()
for a method that will remove a single prefixstring rather than all of a set of characters. For example:>>>'Arthur: three!'.lstrip('Arthur: ')'ee!'>>>'Arthur: three!'.removeprefix('Arthur: ')'three!'
- staticstr.maketrans(x[,y[,z]])¶
This static method returns a translation table usable for
str.translate()
.If there is only one argument, it must be a dictionary mapping Unicodeordinals (integers) or characters (strings of length 1) to Unicode ordinals,strings (of arbitrary lengths) or
None
. Character keys will then beconverted to ordinals.If there are two arguments, they must be strings of equal length, and in theresulting dictionary, each character in x will be mapped to the character atthe same position in y. If there is a third argument, it must be a string,whose characters will be mapped to
None
in the result.
- str.partition(sep)¶
Split the string at the first occurrence ofsep, and return a 3-tuplecontaining the part before the separator, the separator itself, and the partafter the separator. If the separator is not found, return a 3-tuple containingthe string itself, followed by two empty strings.
- str.removeprefix(prefix,/)¶
If the string starts with theprefix string, return
string[len(prefix):]
. Otherwise, return a copy of the originalstring:>>>'TestHook'.removeprefix('Test')'Hook'>>>'BaseTestCase'.removeprefix('Test')'BaseTestCase'
Added in version 3.9.
- str.removesuffix(suffix,/)¶
If the string ends with thesuffix string and thatsuffix is not empty,return
string[:-len(suffix)]
. Otherwise, return a copy of theoriginal string:>>>'MiscTests'.removesuffix('Tests')'Misc'>>>'TmpDirMixin'.removesuffix('Tests')'TmpDirMixin'
Added in version 3.9.
- str.replace(old,new,count=-1)¶
Return a copy of the string with all occurrences of substringold replaced bynew. Ifcount is given, only the firstcount occurrences are replaced.Ifcount is not specified or
-1
, then all occurrences are replaced.Changed in version 3.13:count is now supported as a keyword argument.
- str.rfind(sub[,start[,end]])¶
Return the highest index in the string where substringsub is found, suchthatsub is contained within
s[start:end]
. Optional argumentsstartandend are interpreted as in slice notation. Return-1
on failure.
- str.rindex(sub[,start[,end]])¶
Like
rfind()
but raisesValueError
when the substringsub is notfound.
- str.rjust(width[,fillchar])¶
Return the string right justified in a string of lengthwidth. Padding isdone using the specifiedfillchar (default is an ASCII space). Theoriginal string is returned ifwidth is less than or equal to
len(s)
.
- str.rpartition(sep)¶
Split the string at the last occurrence ofsep, and return a 3-tuplecontaining the part before the separator, the separator itself, and the partafter the separator. If the separator is not found, return a 3-tuple containingtwo empty strings, followed by the string itself.
- str.rsplit(sep=None,maxsplit=-1)¶
Return a list of the words in the string, usingsep as the delimiter string.Ifmaxsplit is given, at mostmaxsplit splits are done, therightmostones. Ifsep is not specified or
None
, any whitespace string is aseparator. Except for splitting from the right,rsplit()
behaves likesplit()
which is described in detail below.
- str.rstrip([chars])¶
Return a copy of the string with trailing characters removed. Thecharsargument is a string specifying the set of characters to be removed. If omittedor
None
, thechars argument defaults to removing whitespace. Thecharsargument is not a suffix; rather, all combinations of its values are stripped:>>>' spacious '.rstrip()' spacious'>>>'mississippi'.rstrip('ipz')'mississ'
See
str.removesuffix()
for a method that will remove a single suffixstring rather than all of a set of characters. For example:>>>'Monty Python'.rstrip(' Python')'M'>>>'Monty Python'.removesuffix(' Python')'Monty'
- str.split(sep=None,maxsplit=-1)¶
Return a list of the words in the string, usingsep as the delimiterstring. Ifmaxsplit is given, at mostmaxsplit splits are done (thus,the list will have at most
maxsplit+1
elements). Ifmaxsplit is notspecified or-1
, then there is no limit on the number of splits(all possible splits are made).Ifsep is given, consecutive delimiters are not grouped together and aredeemed to delimit empty strings (for example,
'1,,2'.split(',')
returns['1','','2']
). Thesep argument may consist of multiple charactersas a single delimiter (to split with multiple delimiters, usere.split()
). Splitting an empty string with a specified separatorreturns['']
.For example:
>>>'1,2,3'.split(',')['1', '2', '3']>>>'1,2,3'.split(',',maxsplit=1)['1', '2,3']>>>'1,2,,3,'.split(',')['1', '2', '', '3', '']>>>'1<>2<>3<4'.split('<>')['1', '2', '3<4']
Ifsep is not specified or is
None
, a different splitting algorithm isapplied: runs of consecutive whitespace are regarded as a single separator,and the result will contain no empty strings at the start or end if thestring has leading or trailing whitespace. Consequently, splitting an emptystring or a string consisting of just whitespace with aNone
separatorreturns[]
.For example:
>>>'1 2 3'.split()['1', '2', '3']>>>'1 2 3'.split(maxsplit=1)['1', '2 3']>>>' 1 2 3 '.split()['1', '2', '3']
Ifsep is not specified or is
None
andmaxsplit is0
, onlyleading runs of consecutive whitespace are considered.For example:
>>>"".split(None,0)[]>>>" ".split(None,0)[]>>>" foo ".split(maxsplit=0)['foo ']
- str.splitlines(keepends=False)¶
Return a list of the lines in the string, breaking at line boundaries. Linebreaks are not included in the resulting list unlesskeepends is given andtrue.
This method splits on the following line boundaries. In particular, theboundaries are a superset ofuniversal newlines.
Representation
Description
\n
Line Feed
\r
Carriage Return
\r\n
Carriage Return + Line Feed
\v
or\x0b
Line Tabulation
\f
or\x0c
Form Feed
\x1c
File Separator
\x1d
Group Separator
\x1e
Record Separator
\x85
Next Line (C1 Control Code)
\u2028
Line Separator
\u2029
Paragraph Separator
Changed in version 3.2:
\v
and\f
added to list of line boundaries.For example:
>>>'ab c\n\nde fg\rkl\r\n'.splitlines()['ab c', '', 'de fg', 'kl']>>>'ab c\n\nde fg\rkl\r\n'.splitlines(keepends=True)['ab c\n', '\n', 'de fg\r', 'kl\r\n']
Unlike
split()
when a delimiter stringsep is given, thismethod returns an empty list for the empty string, and a terminal linebreak does not result in an extra line:>>>"".splitlines()[]>>>"One line\n".splitlines()['One line']
For comparison,
split('\n')
gives:>>>''.split('\n')['']>>>'Two lines\n'.split('\n')['Two lines', '']
- str.startswith(prefix[,start[,end]])¶
Return
True
if string starts with theprefix, otherwise returnFalse
.prefix can also be a tuple of prefixes to look for. With optionalstart,test string beginning at that position. With optionalend, stop comparingstring at that position.
- str.strip([chars])¶
Return a copy of the string with the leading and trailing characters removed.Thechars argument is a string specifying the set of characters to be removed.If omitted or
None
, thechars argument defaults to removing whitespace.Thechars argument is not a prefix or suffix; rather, all combinations of itsvalues are stripped:>>>' spacious '.strip()'spacious'>>>'www.example.com'.strip('cmowz.')'example'
The outermost leading and trailingchars argument values are strippedfrom the string. Characters are removed from the leading end untilreaching a string character that is not contained in the set ofcharacters inchars. A similar action takes place on the trailing end.For example:
>>>comment_string='#....... Section 3.2.1 Issue #32 .......'>>>comment_string.strip('.#! ')'Section 3.2.1 Issue #32'
- str.swapcase()¶
Return a copy of the string with uppercase characters converted to lowercase andvice versa. Note that it is not necessarily true that
s.swapcase().swapcase()==s
.
- str.title()¶
Return a titlecased version of the string where words start with an uppercasecharacter and the remaining characters are lowercase.
For example:
>>>'Hello world'.title()'Hello World'
The algorithm uses a simple language-independent definition of a word asgroups of consecutive letters. The definition works in many contexts butit means that apostrophes in contractions and possessives form wordboundaries, which may not be the desired result:
>>>"they're bill's friends from the UK".title()"They'Re Bill'S Friends From The Uk"
The
string.capwords()
function does not have this problem, as itsplits words on spaces only.Alternatively, a workaround for apostrophes can be constructed using regularexpressions:
>>>importre>>>deftitlecase(s):...returnre.sub(r"[A-Za-z]+('[A-Za-z]+)?",...lambdamo:mo.group(0).capitalize(),...s)...>>>titlecase("they're bill's friends.")"They're Bill's Friends."
- str.translate(table)¶
Return a copy of the string in which each character has been mapped throughthe given translation table. The table must be an object that implementsindexing via
__getitem__()
, typically amapping orsequence. When indexed by a Unicode ordinal (an integer), thetable object can do any of the following: return a Unicode ordinal or astring, to map the character to one or more other characters; returnNone
, to delete the character from the return string; or raise aLookupError
exception, to map the character to itself.You can use
str.maketrans()
to create a translation map fromcharacter-to-character mappings in different formats.See also the
codecs
module for a more flexible approach to customcharacter mappings.
- str.upper()¶
Return a copy of the string with all the cased characters[4] converted touppercase. Note that
s.upper().isupper()
might beFalse
ifs
contains uncased characters or if the Unicode category of the resultingcharacter(s) is not “Lu” (Letter, uppercase), but e.g. “Lt” (Letter,titlecase).The uppercasing algorithm used isdescribed in section 3.13 ‘Default Case Folding’ of the Unicode Standard.
- str.zfill(width)¶
Return a copy of the string left filled with ASCII
'0'
digits tomake a string of lengthwidth. A leading sign prefix ('+'
/'-'
)is handled by inserting the paddingafter the sign character ratherthan before. The original string is returned ifwidth is less thanor equal tolen(s)
.For example:
>>>"42".zfill(5)'00042'>>>"-42".zfill(5)'-0042'
Formatted String Literals (f-strings)¶
Added in version 3.6.
Changed in version 3.8:Added the debugging operator (=
)
Changed in version 3.12:Many restrictions on expressions within f-strings have been removed.Notably, nested strings, comments, and backslashes are now permitted.
Anf-string (formally aformatted string literal) isa string literal that is prefixed withf
orF
.This type of string literal allows embedding arbitrary Python expressionswithinreplacement fields, which are delimited by curly brackets ({}
).These expressions are evaluated at runtime, similarly tostr.format()
,and are converted into regularstr
objects.For example:
>>>who='nobody'>>>nationality='Spanish'>>>f'{who.title()} expects the{nationality} Inquisition!''Nobody expects the Spanish Inquisition!'
It is also possible to use a multi line f-string:
>>>f'''This is a string...on two lines''''This is a string\non two lines'
A single opening curly bracket,'{'
, marks areplacement field thatcan contain any Python expression:
>>>nationality='Spanish'>>>f'The{nationality} Inquisition!''The Spanish Inquisition!'
To include a literal{
or}
, use a double bracket:
>>>x=42>>>f'{{x}} is{x}''{x} is 42'
Functions can also be used, andformat specifiers:
>>>frommathimportsqrt>>>f'√2\N{ALMOST EQUAL TO}{sqrt(2):.5f}''√2 ≈ 1.41421'
Any non-string expression is converted usingstr()
, by default:
>>>fromfractionsimportFraction>>>f'{Fraction(1,3)}''1/3'
To use an explicit conversion, use the!
(exclamation mark) operator,followed by any of the valid formats, which are:
Conversion | Meaning |
---|---|
| |
| |
|
For example:
>>>fromfractionsimportFraction>>>f'{Fraction(1,3)!s}''1/3'>>>f'{Fraction(1,3)!r}''Fraction(1, 3)'>>>question='¿Dónde está el Presidente?'>>>print(f'{question!a}')'\xbfD\xf3nde est\xe1 el Presidente?'
While debugging it may be helpful to see both the expression and its value,by using the equals sign (=
) after the expression.This preserves spaces within the brackets, and can be used with a converter.By default, the debugging operator uses therepr()
(!r
) conversion.For example:
>>>fromfractionsimportFraction>>>calculation=Fraction(1,3)>>>f'{calculation=}''calculation=Fraction(1, 3)'>>>f'{calculation= }''calculation = Fraction(1, 3)'>>>f'{calculation= !s}''calculation = 1/3'
Once the output has been evaluated, it can be formatted using aformat specifier following a colon (':'
).After the expression has been evaluated, and possibly converted to a string,the__format__()
method of the result is called with the format specifier,or the empty string if no format specifier is given.The formatted result is then used as the final value for the replacement field.For example:
>>>fromfractionsimportFraction>>>f'{Fraction(1,7):.6f}''0.142857'>>>f'{Fraction(1,7):_^+10}''___+1/7___'
printf
-style String Formatting¶
Note
The formatting operations described here exhibit a variety of quirks thatlead to a number of common errors (such as failing to display tuples anddictionaries correctly). Using the newerformatted string literals, thestr.format()
interface, ortemplate strings may help avoid these errors. Each of thesealternatives provides their own trade-offs and benefits of simplicity,flexibility, and/or extensibility.
String objects have one unique built-in operation: the%
operator (modulo).This is also known as the stringformatting orinterpolation operator.Givenformat%values
(whereformat is a string),%
conversionspecifications informat are replaced with zero or more elements ofvalues.The effect is similar to using thesprintf()
function in the C language.For example:
>>>print('%s has%d quote types.'%('Python',2))Python has 2 quote types.
Ifformat requires a single argument,values may be a single non-tupleobject.[5] Otherwise,values must be a tuple with exactly the number ofitems specified by the format string, or a single mapping object (for example, adictionary).
A conversion specifier contains two or more characters and has the followingcomponents, which must occur in this order:
The
'%'
character, which marks the start of the specifier.Mapping key (optional), consisting of a parenthesised sequence of characters(for example,
(somename)
).Conversion flags (optional), which affect the result of some conversiontypes.
Minimum field width (optional). If specified as an
'*'
(asterisk), theactual width is read from the next element of the tuple invalues, and theobject to convert comes after the minimum field width and optional precision.Precision (optional), given as a
'.'
(dot) followed by the precision. Ifspecified as'*'
(an asterisk), the actual precision is read from the nextelement of the tuple invalues, and the value to convert comes after theprecision.Length modifier (optional).
Conversion type.
When the right argument is a dictionary (or other mapping type), then theformats in the stringmust include a parenthesised mapping key into thatdictionary inserted immediately after the'%'
character. The mapping keyselects the value to be formatted from the mapping. For example:
>>>print('%(language)s has%(number)03d quote types.'%...{'language':"Python","number":2})Python has 002 quote types.
In this case no*
specifiers may occur in a format (since they require asequential parameter list).
The conversion flag characters are:
Flag | Meaning |
---|---|
| The value conversion will use the “alternate form” (where definedbelow). |
| The conversion will be zero padded for numeric values. |
| The converted value is left adjusted (overrides the |
| (a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion. |
| A sign character ( |
A length modifier (h
,l
, orL
) may be present, but is ignored as itis not necessary for Python – so e.g.%ld
is identical to%d
.
The conversion types are:
Conversion | Meaning | Notes |
---|---|---|
| Signed integer decimal. | |
| Signed integer decimal. | |
| Signed octal value. | (1) |
| Obsolete type – it is identical to | (6) |
| Signed hexadecimal (lowercase). | (2) |
| Signed hexadecimal (uppercase). | (2) |
| Floating-point exponential format (lowercase). | (3) |
| Floating-point exponential format (uppercase). | (3) |
| Floating-point decimal format. | (3) |
| Floating-point decimal format. | (3) |
| Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Single character (accepts integer or singlecharacter string). | |
| String (converts any Python object using | (5) |
| String (converts any Python object using | (5) |
| String (converts any Python object using | (5) |
| No argument is converted, results in a |
Notes:
The alternate form causes a leading octal specifier (
'0o'
) to beinserted before the first digit.The alternate form causes a leading
'0x'
or'0X'
(depending on whetherthe'x'
or'X'
format was used) to be inserted before the first digit.The alternate form causes the result to always contain a decimal point, even ifno digits follow it.
The precision determines the number of digits after the decimal point anddefaults to 6.
The alternate form causes the result to always contain a decimal point, andtrailing zeroes are not removed as they would otherwise be.
The precision determines the number of significant digits before and after thedecimal point and defaults to 6.
If precision is
N
, the output is truncated toN
characters.SeePEP 237.
Since Python strings have an explicit length,%s
conversions do not assumethat'\0'
is the end of the string.
Changed in version 3.1:%f
conversions for numbers whose absolute value is over 1e50 are nolonger replaced by%g
conversions.
Binary Sequence Types —bytes
,bytearray
,memoryview
¶
The core built-in types for manipulating binary data arebytes
andbytearray
. They are supported bymemoryview
which usesthebuffer protocol to access the memory of otherbinary objects without needing to make a copy.
Thearray
module supports efficient storage of basic data types like32-bit integers and IEEE754 double-precision floating values.
Bytes Objects¶
Bytes objects are immutable sequences of single bytes. Since many majorbinary protocols are based on the ASCII text encoding, bytes objects offerseveral methods that are only valid when working with ASCII compatibledata and are closely related to string objects in a variety of other ways.
- classbytes([source[,encoding[,errors]]])¶
Firstly, the syntax for bytes literals is largely the same as that for stringliterals, except that a
b
prefix is added:Single quotes:
b'stillallowsembedded"double"quotes'
Double quotes:
b"stillallowsembedded'single'quotes"
Triple quoted:
b'''3singlequotes'''
,b"""3doublequotes"""
Only ASCII characters are permitted in bytes literals (regardless of thedeclared source code encoding). Any binary values over 127 must be enteredinto bytes literals using the appropriate escape sequence.
As with string literals, bytes literals may also use a
r
prefix to disableprocessing of escape sequences. SeeString and Bytes literals for more about the variousforms of bytes literal, including supported escape sequences.While bytes literals and representations are based on ASCII text, bytesobjects actually behave like immutable sequences of integers, with eachvalue in the sequence restricted such that
0<=x<256
(attempts toviolate this restriction will triggerValueError
). This is donedeliberately to emphasise that while many binary formats include ASCII basedelements and can be usefully manipulated with some text-oriented algorithms,this is not generally the case for arbitrary binary data (blindly applyingtext processing algorithms to binary data formats that are not ASCIIcompatible will usually lead to data corruption).In addition to the literal forms, bytes objects can be created in a number ofother ways:
A zero-filled bytes object of a specified length:
bytes(10)
From an iterable of integers:
bytes(range(20))
Copying existing binary data via the buffer protocol:
bytes(obj)
Also see thebytes built-in.
Since 2 hexadecimal digits correspond precisely to a single byte, hexadecimalnumbers are a commonly used format for describing binary data. Accordingly,the bytes type has an additional class method to read data in that format:
- classmethodfromhex(string)¶
This
bytes
class method returns a bytes object, decoding thegiven string object. The string must contain two hexadecimal digits perbyte, with ASCII whitespace being ignored.>>>bytes.fromhex('2Ef0 F1f2 ')b'.\xf0\xf1\xf2'
Changed in version 3.7:
bytes.fromhex()
now skips all ASCII whitespace in the string,not just spaces.
A reverse conversion function exists to transform a bytes object into itshexadecimal representation.
- hex([sep[,bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the instance.
>>>b'\xf0\xf1\xf2'.hex()'f0f1f2'
If you want to make the hex string easier to read, you can specify asingle character separatorsep parameter to include in the output.By default, this separator will be included between each byte.A second optionalbytes_per_sep parameter controls the spacing.Positive values calculate the separator position from the right,negative values from the left.
>>>value=b'\xf0\xf1\xf2'>>>value.hex('-')'f0-f1-f2'>>>value.hex('_',2)'f0_f1f2'>>>b'UUDDLRLRAB'.hex(' ',-4)'55554444 4c524c52 4142'
Added in version 3.5.
Changed in version 3.8:
bytes.hex()
now supports optionalsep andbytes_per_sepparameters to insert separators between bytes in the hex output.
Since bytes objects are sequences of integers (akin to a tuple), for a bytesobjectb,b[0]
will be an integer, whileb[0:1]
will be a bytesobject of length 1. (This contrasts with text strings, where both indexingand slicing will produce a string of length 1)
The representation of bytes objects uses the literal format (b'...'
)since it is often more useful than e.g.bytes([46,46,46])
. You canalways convert a bytes object into a list of integers usinglist(b)
.
Bytearray Objects¶
bytearray
objects are a mutable counterpart tobytes
objects.
- classbytearray([source[,encoding[,errors]]])¶
There is no dedicated literal syntax for bytearray objects, insteadthey are always created by calling the constructor:
Creating an empty instance:
bytearray()
Creating a zero-filled instance with a given length:
bytearray(10)
From an iterable of integers:
bytearray(range(20))
Copying existing binary data via the buffer protocol:
bytearray(b'Hi!')
As bytearray objects are mutable, they support themutable sequence operations in addition to thecommon bytes and bytearray operations described inBytes and Bytearray Operations.
Also see thebytearray built-in.
Since 2 hexadecimal digits correspond precisely to a single byte, hexadecimalnumbers are a commonly used format for describing binary data. Accordingly,the bytearray type has an additional class method to read data in that format:
- classmethodfromhex(string)¶
This
bytearray
class method returns bytearray object, decodingthe given string object. The string must contain two hexadecimal digitsper byte, with ASCII whitespace being ignored.>>>bytearray.fromhex('2Ef0 F1f2 ')bytearray(b'.\xf0\xf1\xf2')
Changed in version 3.7:
bytearray.fromhex()
now skips all ASCII whitespace in the string,not just spaces.
A reverse conversion function exists to transform a bytearray object into itshexadecimal representation.
- hex([sep[,bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the instance.
>>>bytearray(b'\xf0\xf1\xf2').hex()'f0f1f2'
Added in version 3.5.
Changed in version 3.8:Similar to
bytes.hex()
,bytearray.hex()
now supportsoptionalsep andbytes_per_sep parameters to insert separatorsbetween bytes in the hex output.
Since bytearray objects are sequences of integers (akin to a list), for abytearray objectb,b[0]
will be an integer, whileb[0:1]
will bea bytearray object of length 1. (This contrasts with text strings, whereboth indexing and slicing will produce a string of length 1)
The representation of bytearray objects uses the bytes literal format(bytearray(b'...')
) since it is often more useful than e.g.bytearray([46,46,46])
. You can always convert a bytearray object intoa list of integers usinglist(b)
.
Bytes and Bytearray Operations¶
Both bytes and bytearray objects support thecommonsequence operations. They interoperate not just with operands of the sametype, but with anybytes-like object. Due to this flexibility, they can befreely mixed in operations without causing errors. However, the return typeof the result may depend on the order of operands.
Note
The methods on bytes and bytearray objects don’t accept strings as theirarguments, just as the methods on strings don’t accept bytes as theirarguments. For example, you have to write:
a="abc"b=a.replace("a","f")
and:
a=b"abc"b=a.replace(b"a",b"f")
Some bytes and bytearray operations assume the use of ASCII compatiblebinary formats, and hence should be avoided when working with arbitrarybinary data. These restrictions are covered below.
Note
Using these ASCII based operations to manipulate binary data that is notstored in an ASCII based format may lead to data corruption.
The following methods on bytes and bytearray objects can be used witharbitrary binary data.
- bytes.count(sub[,start[,end]])¶
- bytearray.count(sub[,start[,end]])¶
Return the number of non-overlapping occurrences of subsequencesub inthe range [start,end]. Optional argumentsstart andend areinterpreted as in slice notation.
The subsequence to search for may be anybytes-like object or aninteger in the range 0 to 255.
Ifsub is empty, returns the number of empty slices between characterswhich is the length of the bytes object plus one.
Changed in version 3.3:Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.removeprefix(prefix,/)¶
- bytearray.removeprefix(prefix,/)¶
If the binary data starts with theprefix string, return
bytes[len(prefix):]
. Otherwise, return a copy of the originalbinary data:>>>b'TestHook'.removeprefix(b'Test')b'Hook'>>>b'BaseTestCase'.removeprefix(b'Test')b'BaseTestCase'
Theprefix may be anybytes-like object.
Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
Added in version 3.9.
- bytes.removesuffix(suffix,/)¶
- bytearray.removesuffix(suffix,/)¶
If the binary data ends with thesuffix string and thatsuffix isnot empty, return
bytes[:-len(suffix)]
. Otherwise, return a copy ofthe original binary data:>>>b'MiscTests'.removesuffix(b'Tests')b'Misc'>>>b'TmpDirMixin'.removesuffix(b'Tests')b'TmpDirMixin'
Thesuffix may be anybytes-like object.
Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
Added in version 3.9.
- bytes.decode(encoding='utf-8',errors='strict')¶
- bytearray.decode(encoding='utf-8',errors='strict')¶
Return the bytes decoded to a
str
.encoding defaults to
'utf-8'
;seeStandard Encodings for possible values.errors controls how decoding errors are handled.If
'strict'
(the default), aUnicodeError
exception is raised.Other possible values are'ignore'
,'replace'
,and any other name registered viacodecs.register_error()
.SeeError Handlers for details.For performance reasons, the value oferrors is not checked for validityunless a decoding error actually occurs,Python Development Mode is enabled or adebug build is used.
Note
Passing theencoding argument to
str
allows decoding anybytes-like object directly, without needing to make a temporarybytes
orbytearray
object.Changed in version 3.1:Added support for keyword arguments.
Changed in version 3.9:The value of theerrors argument is now checked inPython Development Mode andindebug mode.
- bytes.endswith(suffix[,start[,end]])¶
- bytearray.endswith(suffix[,start[,end]])¶
Return
True
if the binary data ends with the specifiedsuffix,otherwise returnFalse
.suffix can also be a tuple of suffixes tolook for. With optionalstart, test beginning at that position. Withoptionalend, stop comparing at that position.The suffix(es) to search for may be anybytes-like object.
- bytes.find(sub[,start[,end]])¶
- bytearray.find(sub[,start[,end]])¶
Return the lowest index in the data where the subsequencesub is found,such thatsub is contained in the slice
s[start:end]
. Optionalargumentsstart andend are interpreted as in slice notation. Return-1
ifsub is not found.The subsequence to search for may be anybytes-like object or aninteger in the range 0 to 255.
Note
The
find()
method should be used only if you need to know theposition ofsub. To check ifsub is a substring or not, use thein
operator:>>>b'Py'inb'Python'True
Changed in version 3.3:Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.index(sub[,start[,end]])¶
- bytearray.index(sub[,start[,end]])¶
Like
find()
, but raiseValueError
when thesubsequence is not found.The subsequence to search for may be anybytes-like object or aninteger in the range 0 to 255.
Changed in version 3.3:Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.join(iterable)¶
- bytearray.join(iterable)¶
Return a bytes or bytearray object which is the concatenation of thebinary data sequences initerable. A
TypeError
will be raisedif there are any values initerable that are notbytes-likeobjects, includingstr
objects. Theseparator between elements is the contents of the bytes orbytearray object providing this method.
- staticbytes.maketrans(from,to)¶
- staticbytearray.maketrans(from,to)¶
This static method returns a translation table usable for
bytes.translate()
that will map each character infrom into thecharacter at the same position into;from andto must both bebytes-like objects and have the same length.Added in version 3.1.
- bytes.partition(sep)¶
- bytearray.partition(sep)¶
Split the sequence at the first occurrence ofsep, and return a 3-tuplecontaining the part before the separator, the separator itself or itsbytearray copy, and the part after the separator.If the separator is not found, return a 3-tuplecontaining a copy of the original sequence, followed by two empty bytes orbytearray objects.
The separator to search for may be anybytes-like object.
- bytes.replace(old,new[,count])¶
- bytearray.replace(old,new[,count])¶
Return a copy of the sequence with all occurrences of subsequenceoldreplaced bynew. If the optional argumentcount is given, only thefirstcount occurrences are replaced.
The subsequence to search for and its replacement may be anybytes-like object.
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.rfind(sub[,start[,end]])¶
- bytearray.rfind(sub[,start[,end]])¶
Return the highest index in the sequence where the subsequencesub isfound, such thatsub is contained within
s[start:end]
. Optionalargumentsstart andend are interpreted as in slice notation. Return-1
on failure.The subsequence to search for may be anybytes-like object or aninteger in the range 0 to 255.
Changed in version 3.3:Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.rindex(sub[,start[,end]])¶
- bytearray.rindex(sub[,start[,end]])¶
Like
rfind()
but raisesValueError
when thesubsequencesub is not found.The subsequence to search for may be anybytes-like object or aninteger in the range 0 to 255.
Changed in version 3.3:Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.rpartition(sep)¶
- bytearray.rpartition(sep)¶
Split the sequence at the last occurrence ofsep, and return a 3-tuplecontaining the part before the separator, the separator itself or itsbytearray copy, and the part after the separator.If the separator is not found, return a 3-tuplecontaining two empty bytes or bytearray objects, followed by a copy of theoriginal sequence.
The separator to search for may be anybytes-like object.
- bytes.startswith(prefix[,start[,end]])¶
- bytearray.startswith(prefix[,start[,end]])¶
Return
True
if the binary data starts with the specifiedprefix,otherwise returnFalse
.prefix can also be a tuple of prefixes tolook for. With optionalstart, test beginning at that position. Withoptionalend, stop comparing at that position.The prefix(es) to search for may be anybytes-like object.
- bytes.translate(table,/,delete=b'')¶
- bytearray.translate(table,/,delete=b'')¶
Return a copy of the bytes or bytearray object where all bytes occurring inthe optional argumentdelete are removed, and the remaining bytes havebeen mapped through the given translation table, which must be a bytesobject of length 256.
You can use the
bytes.maketrans()
method to create a translationtable.Set thetable argument to
None
for translations that only deletecharacters:>>>b'read this short text'.translate(None,b'aeiou')b'rd ths shrt txt'
Changed in version 3.6:delete is now supported as a keyword argument.
The following methods on bytes and bytearray objects have default behavioursthat assume the use of ASCII compatible binary formats, but can still be usedwith arbitrary binary data by passing appropriate arguments. Note that all ofthe bytearray methods in this section donot operate in place, and insteadproduce new objects.
- bytes.center(width[,fillbyte])¶
- bytearray.center(width[,fillbyte])¶
Return a copy of the object centered in a sequence of lengthwidth.Padding is done using the specifiedfillbyte (default is an ASCIIspace). For
bytes
objects, the original sequence is returned ifwidth is less than or equal tolen(s)
.Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
- bytes.ljust(width[,fillbyte])¶
- bytearray.ljust(width[,fillbyte])¶
Return a copy of the object left justified in a sequence of lengthwidth.Padding is done using the specifiedfillbyte (default is an ASCIIspace). For
bytes
objects, the original sequence is returned ifwidth is less than or equal tolen(s)
.Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
- bytes.lstrip([chars])¶
- bytearray.lstrip([chars])¶
Return a copy of the sequence with specified leading bytes removed. Thechars argument is a binary sequence specifying the set of byte values tobe removed - the name refers to the fact this method is usually used withASCII characters. If omitted or
None
, thechars argument defaultsto removing ASCII whitespace. Thechars argument is not a prefix;rather, all combinations of its values are stripped:>>>b' spacious '.lstrip()b'spacious '>>>b'www.example.com'.lstrip(b'cmowz.')b'example.com'
The binary sequence of byte values to remove may be anybytes-like object. See
removeprefix()
for a methodthat will remove a single prefix string rather than all of a set ofcharacters. For example:>>>b'Arthur: three!'.lstrip(b'Arthur: ')b'ee!'>>>b'Arthur: three!'.removeprefix(b'Arthur: ')b'three!'
Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
- bytes.rjust(width[,fillbyte])¶
- bytearray.rjust(width[,fillbyte])¶
Return a copy of the object right justified in a sequence of lengthwidth.Padding is done using the specifiedfillbyte (default is an ASCIIspace). For
bytes
objects, the original sequence is returned ifwidth is less than or equal tolen(s)
.Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
- bytes.rsplit(sep=None,maxsplit=-1)¶
- bytearray.rsplit(sep=None,maxsplit=-1)¶
Split the binary sequence into subsequences of the same type, usingsepas the delimiter string. Ifmaxsplit is given, at mostmaxsplit splitsare done, therightmost ones. Ifsep is not specified or
None
,any subsequence consisting solely of ASCII whitespace is a separator.Except for splitting from the right,rsplit()
behaves likesplit()
which is described in detail below.
- bytes.rstrip([chars])¶
- bytearray.rstrip([chars])¶
Return a copy of the sequence with specified trailing bytes removed. Thechars argument is a binary sequence specifying the set of byte values tobe removed - the name refers to the fact this method is usually used withASCII characters. If omitted or
None
, thechars argument defaults toremoving ASCII whitespace. Thechars argument is not a suffix; rather,all combinations of its values are stripped:>>>b' spacious '.rstrip()b' spacious'>>>b'mississippi'.rstrip(b'ipz')b'mississ'
The binary sequence of byte values to remove may be anybytes-like object. See
removesuffix()
for a methodthat will remove a single suffix string rather than all of a set ofcharacters. For example:>>>b'Monty Python'.rstrip(b' Python')b'M'>>>b'Monty Python'.removesuffix(b' Python')b'Monty'
Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
- bytes.split(sep=None,maxsplit=-1)¶
- bytearray.split(sep=None,maxsplit=-1)¶
Split the binary sequence into subsequences of the same type, usingsepas the delimiter string. Ifmaxsplit is given and non-negative, at mostmaxsplit splits are done (thus, the list will have at most
maxsplit+1
elements). Ifmaxsplit is not specified or is-1
, then there is nolimit on the number of splits (all possible splits are made).Ifsep is given, consecutive delimiters are not grouped together and aredeemed to delimit empty subsequences (for example,
b'1,,2'.split(b',')
returns[b'1',b'',b'2']
). Thesep argument may consist of amultibyte sequence as a single delimiter. Splitting an empty sequence witha specified separator returns[b'']
or[bytearray(b'')]
dependingon the type of object being split. Thesep argument may be anybytes-like object.For example:
>>>b'1,2,3'.split(b',')[b'1', b'2', b'3']>>>b'1,2,3'.split(b',',maxsplit=1)[b'1', b'2,3']>>>b'1,2,,3,'.split(b',')[b'1', b'2', b'', b'3', b'']>>>b'1<>2<>3<4'.split(b'<>')[b'1', b'2', b'3<4']
Ifsep is not specified or is
None
, a different splitting algorithmis applied: runs of consecutive ASCII whitespace are regarded as a singleseparator, and the result will contain no empty strings at the start orend if the sequence has leading or trailing whitespace. Consequently,splitting an empty sequence or a sequence consisting solely of ASCIIwhitespace without a specified separator returns[]
.For example:
>>>b'1 2 3'.split()[b'1', b'2', b'3']>>>b'1 2 3'.split(maxsplit=1)[b'1', b'2 3']>>>b' 1 2 3 '.split()[b'1', b'2', b'3']
- bytes.strip([chars])¶
- bytearray.strip([chars])¶
Return a copy of the sequence with specified leading and trailing bytesremoved. Thechars argument is a binary sequence specifying the set ofbyte values to be removed - the name refers to the fact this method isusually used with ASCII characters. If omitted or
None
, thecharsargument defaults to removing ASCII whitespace. Thechars argument isnot a prefix or suffix; rather, all combinations of its values arestripped:>>>b' spacious '.strip()b'spacious'>>>b'www.example.com'.strip(b'cmowz.')b'example'
The binary sequence of byte values to remove may be anybytes-like object.
Note
The bytearray version of this method doesnot operate in place -it always produces a new object, even if no changes were made.
The following methods on bytes and bytearray objects assume the use of ASCIIcompatible binary formats and should not be applied to arbitrary binary data.Note that all of the bytearray methods in this section donot operate inplace, and instead produce new objects.
- bytes.capitalize()¶
- bytearray.capitalize()¶
Return a copy of the sequence with each byte interpreted as an ASCIIcharacter, and the first byte capitalized and the rest lowercased.Non-ASCII byte values are passed through unchanged.
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.expandtabs(tabsize=8)¶
- bytearray.expandtabs(tabsize=8)¶
Return a copy of the sequence where all ASCII tab characters are replacedby one or more ASCII spaces, depending on the current column and the giventab size. Tab positions occur everytabsize bytes (default is 8,giving tab positions at columns 0, 8, 16 and so on). To expand thesequence, the current column is set to zero and the sequence is examinedbyte by byte. If the byte is an ASCII tab character (
b'\t'
), one ormore space characters are inserted in the result until the current columnis equal to the next tab position. (The tab character itself is notcopied.) If the current byte is an ASCII newline (b'\n'
) orcarriage return (b'\r'
), it is copied and the current column is resetto zero. Any other byte value is copied unchanged and the current columnis incremented by one regardless of how the byte value is represented whenprinted:>>>b'01\t012\t0123\t01234'.expandtabs()b'01 012 0123 01234'>>>b'01\t012\t0123\t01234'.expandtabs(4)b'01 012 0123 01234'
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.isalnum()¶
- bytearray.isalnum()¶
Return
True
if all bytes in the sequence are alphabetical ASCII charactersor ASCII decimal digits and the sequence is not empty,False
otherwise.Alphabetic ASCII characters are those byte values in the sequenceb'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
. ASCII decimaldigits are those byte values in the sequenceb'0123456789'
.For example:
>>>b'ABCabc1'.isalnum()True>>>b'ABC abc1'.isalnum()False
- bytes.isalpha()¶
- bytearray.isalpha()¶
Return
True
if all bytes in the sequence are alphabetic ASCII charactersand the sequence is not empty,False
otherwise. Alphabetic ASCIIcharacters are those byte values in the sequenceb'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
.For example:
>>>b'ABCabc'.isalpha()True>>>b'ABCabc1'.isalpha()False
- bytes.isascii()¶
- bytearray.isascii()¶
Return
True
if the sequence is empty or all bytes in the sequence are ASCII,False
otherwise.ASCII bytes are in the range 0-0x7F.Added in version 3.7.
- bytes.isdigit()¶
- bytearray.isdigit()¶
Return
True
if all bytes in the sequence are ASCII decimal digitsand the sequence is not empty,False
otherwise. ASCII decimal digits arethose byte values in the sequenceb'0123456789'
.For example:
>>>b'1234'.isdigit()True>>>b'1.23'.isdigit()False
- bytes.islower()¶
- bytearray.islower()¶
Return
True
if there is at least one lowercase ASCII characterin the sequence and no uppercase ASCII characters,False
otherwise.For example:
>>>b'hello world'.islower()True>>>b'Hello world'.islower()False
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.
- bytes.isspace()¶
- bytearray.isspace()¶
Return
True
if all bytes in the sequence are ASCII whitespace and thesequence is not empty,False
otherwise. ASCII whitespace characters arethose byte values in the sequenceb'\t\n\r\x0b\f'
(space, tab, newline,carriage return, vertical tab, form feed).
- bytes.istitle()¶
- bytearray.istitle()¶
Return
True
if the sequence is ASCII titlecase and the sequence is notempty,False
otherwise. Seebytes.title()
for more details on thedefinition of “titlecase”.For example:
>>>b'Hello World'.istitle()True>>>b'Hello world'.istitle()False
- bytes.isupper()¶
- bytearray.isupper()¶
Return
True
if there is at least one uppercase alphabetic ASCII characterin the sequence and no lowercase ASCII characters,False
otherwise.For example:
>>>b'HELLO WORLD'.isupper()True>>>b'Hello world'.isupper()False
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.
- bytes.lower()¶
- bytearray.lower()¶
Return a copy of the sequence with all the uppercase ASCII charactersconverted to their corresponding lowercase counterpart.
For example:
>>>b'Hello World'.lower()b'hello world'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.splitlines(keepends=False)¶
- bytearray.splitlines(keepends=False)¶
Return a list of the lines in the binary sequence, breaking at ASCIIline boundaries. This method uses theuniversal newlines approachto splitting lines. Line breaks are not included in the resulting listunlesskeepends is given and true.
For example:
>>>b'ab c\n\nde fg\rkl\r\n'.splitlines()[b'ab c', b'', b'de fg', b'kl']>>>b'ab c\n\nde fg\rkl\r\n'.splitlines(keepends=True)[b'ab c\n', b'\n', b'de fg\r', b'kl\r\n']
Unlike
split()
when a delimiter stringsep is given, thismethod returns an empty list for the empty string, and a terminal linebreak does not result in an extra line:>>>b"".split(b'\n'),b"Two lines\n".split(b'\n')([b''], [b'Two lines', b''])>>>b"".splitlines(),b"One line\n".splitlines()([], [b'One line'])
- bytes.swapcase()¶
- bytearray.swapcase()¶
Return a copy of the sequence with all the lowercase ASCII charactersconverted to their corresponding uppercase counterpart and vice-versa.
For example:
>>>b'Hello World'.swapcase()b'hELLO wORLD'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Unlike
str.swapcase()
, it is always the case thatbin.swapcase().swapcase()==bin
for the binary versions. Caseconversions are symmetrical in ASCII, even though that is not generallytrue for arbitrary Unicode code points.Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.title()¶
- bytearray.title()¶
Return a titlecased version of the binary sequence where words start withan uppercase ASCII character and the remaining characters are lowercase.Uncased byte values are left unmodified.
For example:
>>>b'Hello world'.title()b'Hello World'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.All other byte values are uncased.The algorithm uses a simple language-independent definition of a word asgroups of consecutive letters. The definition works in many contexts butit means that apostrophes in contractions and possessives form wordboundaries, which may not be the desired result:
>>>b"they're bill's friends from the UK".title()b"They'Re Bill'S Friends From The Uk"
A workaround for apostrophes can be constructed using regular expressions:
>>>importre>>>deftitlecase(s):...returnre.sub(rb"[A-Za-z]+('[A-Za-z]+)?",...lambdamo:mo.group(0)[0:1].upper()+...mo.group(0)[1:].lower(),...s)...>>>titlecase(b"they're bill's friends.")b"They're Bill's Friends."
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.upper()¶
- bytearray.upper()¶
Return a copy of the sequence with all the lowercase ASCII charactersconverted to their corresponding uppercase counterpart.
For example:
>>>b'Hello World'.upper()b'HELLO WORLD'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
- bytes.zfill(width)¶
- bytearray.zfill(width)¶
Return a copy of the sequence left filled with ASCII
b'0'
digits tomake a sequence of lengthwidth. A leading sign prefix (b'+'
/b'-'
) is handled by inserting the paddingafter the sign characterrather than before. Forbytes
objects, the original sequence isreturned ifwidth is less than or equal tolen(seq)
.For example:
>>>b"42".zfill(5)b'00042'>>>b"-42".zfill(5)b'-0042'
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
printf
-style Bytes Formatting¶
Note
The formatting operations described here exhibit a variety of quirks thatlead to a number of common errors (such as failing to display tuples anddictionaries correctly). If the value being printed may be a tuple ordictionary, wrap it in a tuple.
Bytes objects (bytes
/bytearray
) have one unique built-in operation:the%
operator (modulo).This is also known as the bytesformatting orinterpolation operator.Givenformat%values
(whereformat is a bytes object),%
conversionspecifications informat are replaced with zero or more elements ofvalues.The effect is similar to using thesprintf()
in the C language.
Ifformat requires a single argument,values may be a single non-tupleobject.[5] Otherwise,values must be a tuple with exactly the number ofitems specified by the format bytes object, or a single mapping object (forexample, a dictionary).
A conversion specifier contains two or more characters and has the followingcomponents, which must occur in this order:
The
'%'
character, which marks the start of the specifier.Mapping key (optional), consisting of a parenthesised sequence of characters(for example,
(somename)
).Conversion flags (optional), which affect the result of some conversiontypes.
Minimum field width (optional). If specified as an
'*'
(asterisk), theactual width is read from the next element of the tuple invalues, and theobject to convert comes after the minimum field width and optional precision.Precision (optional), given as a
'.'
(dot) followed by the precision. Ifspecified as'*'
(an asterisk), the actual precision is read from the nextelement of the tuple invalues, and the value to convert comes after theprecision.Length modifier (optional).
Conversion type.
When the right argument is a dictionary (or other mapping type), then theformats in the bytes objectmust include a parenthesised mapping key into thatdictionary inserted immediately after the'%'
character. The mapping keyselects the value to be formatted from the mapping. For example:
>>>print(b'%(language)s has%(number)03d quote types.'%...{b'language':b"Python",b"number":2})b'Python has 002 quote types.'
In this case no*
specifiers may occur in a format (since they require asequential parameter list).
The conversion flag characters are:
Flag | Meaning |
---|---|
| The value conversion will use the “alternate form” (where definedbelow). |
| The conversion will be zero padded for numeric values. |
| The converted value is left adjusted (overrides the |
| (a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion. |
| A sign character ( |
A length modifier (h
,l
, orL
) may be present, but is ignored as itis not necessary for Python – so e.g.%ld
is identical to%d
.
The conversion types are:
Conversion | Meaning | Notes |
---|---|---|
| Signed integer decimal. | |
| Signed integer decimal. | |
| Signed octal value. | (1) |
| Obsolete type – it is identical to | (8) |
| Signed hexadecimal (lowercase). | (2) |
| Signed hexadecimal (uppercase). | (2) |
| Floating-point exponential format (lowercase). | (3) |
| Floating-point exponential format (uppercase). | (3) |
| Floating-point decimal format. | (3) |
| Floating-point decimal format. | (3) |
| Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Single byte (accepts integer or singlebyte objects). | |
| Bytes (any object that follows thebuffer protocol or has | (5) |
|
| (6) |
| Bytes (converts any Python object using | (5) |
|
| (7) |
| No argument is converted, results in a |
Notes:
The alternate form causes a leading octal specifier (
'0o'
) to beinserted before the first digit.The alternate form causes a leading
'0x'
or'0X'
(depending on whetherthe'x'
or'X'
format was used) to be inserted before the first digit.The alternate form causes the result to always contain a decimal point, even ifno digits follow it.
The precision determines the number of digits after the decimal point anddefaults to 6.
The alternate form causes the result to always contain a decimal point, andtrailing zeroes are not removed as they would otherwise be.
The precision determines the number of significant digits before and after thedecimal point and defaults to 6.
If precision is
N
, the output is truncated toN
characters.b'%s'
is deprecated, but will not be removed during the 3.x series.b'%r'
is deprecated, but will not be removed during the 3.x series.SeePEP 237.
Note
The bytearray version of this method doesnot operate in place - italways produces a new object, even if no changes were made.
See also
PEP 461 - Adding % formatting to bytes and bytearray
Added in version 3.5.
Memory Views¶
memoryview
objects allow Python code to access the internal dataof an object that supports thebuffer protocol withoutcopying.
- classmemoryview(object)¶
Create a
memoryview
that referencesobject.object mustsupport the buffer protocol. Built-in objects that support the bufferprotocol includebytes
andbytearray
.A
memoryview
has the notion of anelement, which is theatomic memory unit handled by the originatingobject. For many simpletypes such asbytes
andbytearray
, an element is a singlebyte, but other types such asarray.array
may have bigger elements.len(view)
is equal to the length oftolist
, whichis the nested list representation of the view. Ifview.ndim=1
,this is equal to the number of elements in the view.Changed in version 3.12:If
view.ndim==0
,len(view)
now raisesTypeError
instead of returning 1.The
itemsize
attribute will give you the number ofbytes in a single element.A
memoryview
supports slicing and indexing to expose its data.One-dimensional slicing will result in a subview:>>>v=memoryview(b'abcefg')>>>v[1]98>>>v[-1]103>>>v[1:4]<memory at 0x7f3ddc9f4350>>>>bytes(v[1:4])b'bce'
If
format
is one of the native format specifiersfrom thestruct
module, indexing with an integer or a tuple ofintegers is also supported and returns a singleelement withthe correct type. One-dimensional memoryviews can be indexedwith an integer or a one-integer tuple. Multi-dimensional memoryviewscan be indexed with tuples of exactlyndim integers wherendim isthe number of dimensions. Zero-dimensional memoryviews can be indexedwith the empty tuple.Here is an example with a non-byte format:
>>>importarray>>>a=array.array('l',[-11111111,22222222,-33333333,44444444])>>>m=memoryview(a)>>>m[0]-11111111>>>m[-1]44444444>>>m[::2].tolist()[-11111111, -33333333]
If the underlying object is writable, the memoryview supportsone-dimensional slice assignment. Resizing is not allowed:
>>>data=bytearray(b'abcefg')>>>v=memoryview(data)>>>v.readonlyFalse>>>v[0]=ord(b'z')>>>databytearray(b'zbcefg')>>>v[1:4]=b'123'>>>databytearray(b'z123fg')>>>v[2:3]=b'spam'Traceback (most recent call last): File"<stdin>", line1, in<module>ValueError:memoryview assignment: lvalue and rvalue have different structures>>>v[2:6]=b'spam'>>>databytearray(b'z1spam')
One-dimensional memoryviews ofhashable (read-only) types with formats‘B’, ‘b’ or ‘c’ are also hashable. The hash is defined as
hash(m)==hash(m.tobytes())
:>>>v=memoryview(b'abcefg')>>>hash(v)==hash(b'abcefg')True>>>hash(v[2:4])==hash(b'ce')True>>>hash(v[::-2])==hash(b'abcefg'[::-2])True
Changed in version 3.3:One-dimensional memoryviews can now be sliced.One-dimensional memoryviews with formats ‘B’, ‘b’ or ‘c’ are nowhashable.
Changed in version 3.4:memoryview is now registered automatically with
collections.abc.Sequence
Changed in version 3.5:memoryviews can now be indexed with tuple of integers.
memoryview
has several methods:- __eq__(exporter)¶
A memoryview and aPEP 3118 exporter are equal if their shapes areequivalent and if all corresponding values are equal when the operands’respective format codes are interpreted using
struct
syntax.For the subset of
struct
format strings currently supported bytolist()
,v
andw
are equal ifv.tolist()==w.tolist()
:>>>importarray>>>a=array.array('I',[1,2,3,4,5])>>>b=array.array('d',[1.0,2.0,3.0,4.0,5.0])>>>c=array.array('b',[5,3,1])>>>x=memoryview(a)>>>y=memoryview(b)>>>x==a==y==bTrue>>>x.tolist()==a.tolist()==y.tolist()==b.tolist()True>>>z=y[::-2]>>>z==cTrue>>>z.tolist()==c.tolist()True
If either format string is not supported by the
struct
module,then the objects will always compare as unequal (even if the formatstrings and buffer contents are identical):>>>fromctypesimportBigEndianStructure,c_long>>>classBEPoint(BigEndianStructure):..._fields_=[("x",c_long),("y",c_long)]...>>>point=BEPoint(100,200)>>>a=memoryview(point)>>>b=memoryview(point)>>>a==pointFalse>>>a==bFalse
Note that, as with floating-point numbers,
visw
doesnot implyv==w
for memoryview objects.Changed in version 3.3:Previous versions compared the raw memory disregarding the item formatand the logical array structure.
- tobytes(order='C')¶
Return the data in the buffer as a bytestring. This is equivalent tocalling the
bytes
constructor on the memoryview.>>>m=memoryview(b"abc")>>>m.tobytes()b'abc'>>>bytes(m)b'abc'
For non-contiguous arrays the result is equal to the flattened listrepresentation with all elements converted to bytes.
tobytes()
supports all format strings, including those that are not instruct
module syntax.Added in version 3.8:order can be {‘C’, ‘F’, ‘A’}. Whenorder is ‘C’ or ‘F’, the dataof the original array is converted to C or Fortran order. For contiguousviews, ‘A’ returns an exact copy of the physical memory. In particular,in-memory Fortran order is preserved. For non-contiguous views, thedata is converted to C first.order=None is the same asorder=’C’.
- hex([sep[,bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the buffer.
>>>m=memoryview(b"abc")>>>m.hex()'616263'
Added in version 3.5.
Changed in version 3.8:Similar to
bytes.hex()
,memoryview.hex()
now supportsoptionalsep andbytes_per_sep parameters to insert separatorsbetween bytes in the hex output.
- tolist()¶
Return the data in the buffer as a list of elements.
>>>memoryview(b'abc').tolist()[97, 98, 99]>>>importarray>>>a=array.array('d',[1.1,2.2,3.3])>>>m=memoryview(a)>>>m.tolist()[1.1, 2.2, 3.3]
- toreadonly()¶
Return a readonly version of the memoryview object. The originalmemoryview object is unchanged.
>>>m=memoryview(bytearray(b'abc'))>>>mm=m.toreadonly()>>>mm.tolist()[97, 98, 99]>>>mm[0]=42Traceback (most recent call last): File"<stdin>", line1, in<module>TypeError:cannot modify read-only memory>>>m[0]=43>>>mm.tolist()[43, 98, 99]
Added in version 3.8.
- release()¶
Release the underlying buffer exposed by the memoryview object. Manyobjects take special actions when a view is held on them (for example,a
bytearray
would temporarily forbid resizing); therefore,calling release() is handy to remove these restrictions (and free anydangling resources) as soon as possible.After this method has been called, any further operation on the viewraises a
ValueError
(exceptrelease()
itself which canbe called multiple times):>>>m=memoryview(b'abc')>>>m.release()>>>m[0]Traceback (most recent call last): File"<stdin>", line1, in<module>ValueError:operation forbidden on released memoryview object
The context management protocol can be used for a similar effect,using the
with
statement:>>>withmemoryview(b'abc')asm:...m[0]...97>>>m[0]Traceback (most recent call last): File"<stdin>", line1, in<module>ValueError:operation forbidden on released memoryview object
Added in version 3.2.
- cast(format[,shape])¶
Cast a memoryview to a new format or shape.shape defaults to
[byte_length//new_itemsize]
, which means that the result viewwill be one-dimensional. The return value is a new memoryview, butthe buffer itself is not copied. Supported casts are 1D -> C-contiguousand C-contiguous -> 1D.The destination format is restricted to a single element native format in
struct
syntax. One of the formats must be a byte format(‘B’, ‘b’ or ‘c’). The byte length of the result must be the sameas the original length.Note that all byte lengths may depend on the operating system.Cast 1D/long to 1D/unsigned bytes:
>>>importarray>>>a=array.array('l',[1,2,3])>>>x=memoryview(a)>>>x.format'l'>>>x.itemsize8>>>len(x)3>>>x.nbytes24>>>y=x.cast('B')>>>y.format'B'>>>y.itemsize1>>>len(y)24>>>y.nbytes24
Cast 1D/unsigned bytes to 1D/char:
>>>b=bytearray(b'zyz')>>>x=memoryview(b)>>>x[0]=b'a'Traceback (most recent call last):...TypeError:memoryview: invalid type for format 'B'>>>y=x.cast('c')>>>y[0]=b'a'>>>bbytearray(b'ayz')
Cast 1D/bytes to 3D/ints to 1D/signed char:
>>>importstruct>>>buf=struct.pack("i"*12,*list(range(12)))>>>x=memoryview(buf)>>>y=x.cast('i',shape=[2,2,3])>>>y.tolist()[[[0, 1, 2], [3, 4, 5]], [[6, 7, 8], [9, 10, 11]]]>>>y.format'i'>>>y.itemsize4>>>len(y)2>>>y.nbytes48>>>z=y.cast('b')>>>z.format'b'>>>z.itemsize1>>>len(z)48>>>z.nbytes48
Cast 1D/unsigned long to 2D/unsigned long:
>>>buf=struct.pack("L"*6,*list(range(6)))>>>x=memoryview(buf)>>>y=x.cast('L',shape=[2,3])>>>len(y)2>>>y.nbytes48>>>y.tolist()[[0, 1, 2], [3, 4, 5]]
Added in version 3.3.
Changed in version 3.5:The source format is no longer restricted when casting to a byte view.
There are also several readonly attributes available:
- obj¶
The underlying object of the memoryview:
>>>b=bytearray(b'xyz')>>>m=memoryview(b)>>>m.objisbTrue
Added in version 3.3.
- nbytes¶
nbytes==product(shape)*itemsize==len(m.tobytes())
. This isthe amount of space in bytes that the array would use in a contiguousrepresentation. It is not necessarily equal tolen(m)
:>>>importarray>>>a=array.array('i',[1,2,3,4,5])>>>m=memoryview(a)>>>len(m)5>>>m.nbytes20>>>y=m[::2]>>>len(y)3>>>y.nbytes12>>>len(y.tobytes())12
Multi-dimensional arrays:
>>>importstruct>>>buf=struct.pack("d"*12,*[1.5*xforxinrange(12)])>>>x=memoryview(buf)>>>y=x.cast('d',shape=[3,4])>>>y.tolist()[[0.0, 1.5, 3.0, 4.5], [6.0, 7.5, 9.0, 10.5], [12.0, 13.5, 15.0, 16.5]]>>>len(y)3>>>y.nbytes96
Added in version 3.3.
- readonly¶
A bool indicating whether the memory is read only.
- format¶
A string containing the format (in
struct
module style) for eachelement in the view. A memoryview can be created from exporters witharbitrary format strings, but some methods (e.g.tolist()
) arerestricted to native single element formats.Changed in version 3.3:format
'B'
is now handled according to the struct module syntax.This means thatmemoryview(b'abc')[0]==b'abc'[0]==97
.
- itemsize¶
The size in bytes of each element of the memoryview:
>>>importarray,struct>>>m=memoryview(array.array('H',[32000,32001,32002]))>>>m.itemsize2>>>m[0]32000>>>struct.calcsize('H')==m.itemsizeTrue
- ndim¶
An integer indicating how many dimensions of a multi-dimensional array thememory represents.
- shape¶
A tuple of integers the length of
ndim
giving the shape of thememory as an N-dimensional array.Changed in version 3.3:An empty tuple instead of
None
when ndim = 0.
- strides¶
A tuple of integers the length of
ndim
giving the size in bytes toaccess each element for each dimension of the array.Changed in version 3.3:An empty tuple instead of
None
when ndim = 0.
- suboffsets¶
Used internally for PIL-style arrays. The value is informational only.
- c_contiguous¶
A bool indicating whether the memory is C-contiguous.
Added in version 3.3.
- f_contiguous¶
A bool indicating whether the memory is Fortrancontiguous.
Added in version 3.3.
- contiguous¶
A bool indicating whether the memory iscontiguous.
Added in version 3.3.
Set Types —set
,frozenset
¶
Aset object is an unordered collection of distincthashable objects.Common uses include membership testing, removing duplicates from a sequence, andcomputing mathematical operations such as intersection, union, difference, andsymmetric difference.(For other containers see the built-indict
,list
,andtuple
classes, and thecollections
module.)
Like other collections, sets supportxinset
,len(set)
, andforxinset
. Being an unordered collection, sets do not record element position ororder of insertion. Accordingly, sets do not support indexing, slicing, orother sequence-like behavior.
There are currently two built-in set types,set
andfrozenset
.Theset
type is mutable — the contents can be changed using methodslikeadd()
andremove()
. Since it is mutable, it has nohash value and cannot be used as either a dictionary key or as an element ofanother set. Thefrozenset
type is immutable andhashable —its contents cannot be altered after it is created; it can therefore be used asa dictionary key or as an element of another set.
Non-empty sets (not frozensets) can be created by placing a comma-separated listof elements within braces, for example:{'jack','sjoerd'}
, in addition to theset
constructor.
The constructors for both classes work the same:
- classset([iterable])¶
- classfrozenset([iterable])¶
Return a new set or frozenset object whose elements are taken fromiterable. The elements of a set must behashable. Torepresent sets of sets, the inner sets must be
frozenset
objects. Ifiterable is not specified, a new empty set isreturned.Sets can be created by several means:
Use a comma-separated list of elements within braces:
{'jack','sjoerd'}
Use a set comprehension:
{cforcin'abracadabra'ifcnotin'abc'}
Use the type constructor:
set()
,set('foobar')
,set(['a','b','foo'])
Instances of
set
andfrozenset
provide the followingoperations:- len(s)
Return the number of elements in sets (cardinality ofs).
- xins
Testx for membership ins.
- xnotins
Testx for non-membership ins.
- isdisjoint(other)¶
Return
True
if the set has no elements in common withother. Sets aredisjoint if and only if their intersection is the empty set.
- issubset(other)¶
- set<=other
Test whether every element in the set is inother.
- set<other
Test whether the set is a proper subset ofother, that is,
set<=otherandset!=other
.
- issuperset(other)¶
- set>=other
Test whether every element inother is in the set.
- set>other
Test whether the set is a proper superset ofother, that is,
set>=otherandset!=other
.
- union(*others)¶
- set|other|...
Return a new set with elements from the set and all others.
- intersection(*others)¶
- set&other&...
Return a new set with elements common to the set and all others.
- difference(*others)¶
- set-other-...
Return a new set with elements in the set that are not in the others.
- symmetric_difference(other)¶
- set^other
Return a new set with elements in either the set orother but not both.
- copy()¶
Return a shallow copy of the set.
Note, the non-operator versions of
union()
,intersection()
,difference()
,symmetric_difference()
,issubset()
, andissuperset()
methods will accept any iterable as an argument. Incontrast, their operator based counterparts require their arguments to besets. This precludes error-prone constructions likeset('abc')&'cbs'
in favor of the more readableset('abc').intersection('cbs')
.Both
set
andfrozenset
support set to set comparisons. Twosets are equal if and only if every element of each set is contained in theother (each is a subset of the other). A set is less than another set if andonly if the first set is a proper subset of the second set (is a subset, butis not equal). A set is greater than another set if and only if the first setis a proper superset of the second set (is a superset, but is not equal).Instances of
set
are compared to instances offrozenset
based on their members. For example,set('abc')==frozenset('abc')
returnsTrue
and so doesset('abc')inset([frozenset('abc')])
.The subset and equality comparisons do not generalize to a total orderingfunction. For example, any two nonempty disjoint sets are not equal and are notsubsets of each other, soall of the following return
False
:a<b
,a==b
, ora>b
.Since sets only define partial ordering (subset relationships), the output ofthe
list.sort()
method is undefined for lists of sets.Set elements, like dictionary keys, must behashable.
Binary operations that mix
set
instances withfrozenset
return the type of the first operand. For example:frozenset('ab')|set('bc')
returns an instance offrozenset
.The following table lists operations available for
set
that do notapply to immutable instances offrozenset
:- update(*others)¶
- set|=other|...
Update the set, adding elements from all others.
- intersection_update(*others)¶
- set&=other&...
Update the set, keeping only elements found in it and all others.
- difference_update(*others)¶
- set-=other|...
Update the set, removing elements found in others.
- symmetric_difference_update(other)¶
- set^=other
Update the set, keeping only elements found in either set, but not in both.
- add(elem)¶
Add elementelem to the set.
- discard(elem)¶
Remove elementelem from the set if it is present.
- clear()¶
Remove all elements from the set.
Note, the non-operator versions of the
update()
,intersection_update()
,difference_update()
, andsymmetric_difference_update()
methods will accept any iterable as anargument.Note, theelem argument to the
__contains__()
,remove()
, anddiscard()
methods may be a set. To support searching for an equivalentfrozenset, a temporary one is created fromelem.
Mapping Types —dict
¶
Amapping object mapshashable values to arbitrary objects.Mappings are mutable objects. There is currently only one standard mappingtype, thedictionary. (For other containers see the built-inlist
,set
, andtuple
classes, and thecollections
module.)
A dictionary’s keys arealmost arbitrary values. Values that are nothashable, that is, values containing lists, dictionaries or othermutable types (that are compared by value rather than by object identity) maynot be used as keys.Values that compare equal (such as1
,1.0
, andTrue
)can be used interchangeably to index the same dictionary entry.
- classdict(**kwargs)¶
- classdict(mapping,**kwargs)
- classdict(iterable,**kwargs)
Return a new dictionary initialized from an optional positional argumentand a possibly empty set of keyword arguments.
Dictionaries can be created by several means:
Use a comma-separated list of
key:value
pairs within braces:{'jack':4098,'sjoerd':4127}
or{4098:'jack',4127:'sjoerd'}
Use a dict comprehension:
{}
,{x:x**2forxinrange(10)}
Use the type constructor:
dict()
,dict([('foo',100),('bar',200)])
,dict(foo=100,bar=200)
If no positional argument is given, an empty dictionary is created.If a positional argument is given and it defines a
keys()
method, adictionary is created by calling__getitem__()
on the argument witheach returned key from the method. Otherwise, the positional argument must be aniterable object. Each item in the iterable must itself be an iterablewith exactly two elements. The first element of each item becomes a key in thenew dictionary, and the second element the corresponding value. If a key occursmore than once, the last value for that key becomes the corresponding value inthe new dictionary.If keyword arguments are given, the keyword arguments and their values areadded to the dictionary created from the positional argument. If a keybeing added is already present, the value from the keyword argumentreplaces the value from the positional argument.
Providing keyword arguments as in the first example only works for keys thatare valid Python identifiers. Otherwise, any valid keys can be used.
Dictionaries compare equal if and only if they have the same
(key,value)
pairs (regardless of ordering). Order comparisons (‘<’, ‘<=’, ‘>=’, ‘>’) raiseTypeError
. To illustrate dictionary creation and equality,the following examples all return a dictionary equal to{"one":1,"two":2,"three":3}
:>>>a=dict(one=1,two=2,three=3)>>>b={'one':1,'two':2,'three':3}>>>c=dict(zip(['one','two','three'],[1,2,3]))>>>d=dict([('two',2),('one',1),('three',3)])>>>e=dict({'three':3,'one':1,'two':2})>>>f=dict({'one':1,'three':3},two=2)>>>a==b==c==d==e==fTrue
Providing keyword arguments as in the first example only works for keys thatare valid Python identifiers. Otherwise, any valid keys can be used.
Dictionaries preserve insertion order. Note that updating a key does notaffect the order. Keys added after deletion are inserted at the end.
>>>d={"one":1,"two":2,"three":3,"four":4}>>>d{'one': 1, 'two': 2, 'three': 3, 'four': 4}>>>list(d)['one', 'two', 'three', 'four']>>>list(d.values())[1, 2, 3, 4]>>>d["one"]=42>>>d{'one': 42, 'two': 2, 'three': 3, 'four': 4}>>>deld["two"]>>>d["two"]=None>>>d{'one': 42, 'three': 3, 'four': 4, 'two': None}
Changed in version 3.7:Dictionary order is guaranteed to be insertion order. This behavior wasan implementation detail of CPython from 3.6.
These are the operations that dictionaries support (and therefore, custommapping types should support too):
- list(d)
Return a list of all the keys used in the dictionaryd.
- len(d)
Return the number of items in the dictionaryd.
- d[key]
Return the item ofd with keykey. Raises a
KeyError
ifkey isnot in the map.If a subclass of dict defines a method
__missing__()
andkeyis not present, thed[key]
operation calls that method with the keykeyas argument. Thed[key]
operation then returns or raises whatever isreturned or raised by the__missing__(key)
call.No other operations or methods invoke__missing__()
. If__missing__()
is not defined,KeyError
is raised.__missing__()
must be a method; it cannot be an instance variable:>>>classCounter(dict):...def__missing__(self,key):...return0...>>>c=Counter()>>>c['red']0>>>c['red']+=1>>>c['red']1
The example above shows part of the implementation of
collections.Counter
. A different__missing__
method is usedbycollections.defaultdict
.
- d[key]=value
Set
d[key]
tovalue.
- deld[key]
Remove
d[key]
fromd. Raises aKeyError
ifkey is not in themap.
- keyind
Return
True
ifd has a keykey, elseFalse
.
- keynotind
Equivalent to
notkeyind
.
- iter(d)
Return an iterator over the keys of the dictionary. This is a shortcutfor
iter(d.keys())
.
- clear()¶
Remove all items from the dictionary.
- copy()¶
Return a shallow copy of the dictionary.
- classmethodfromkeys(iterable,value=None,/)¶
Create a new dictionary with keys fromiterable and values set tovalue.
fromkeys()
is a class method that returns a new dictionary.valuedefaults toNone
. All of the values refer to just a single instance,so it generally doesn’t make sense forvalue to be a mutable objectsuch as an empty list. To get distinct values, use adictcomprehension instead.
- get(key,default=None,/)¶
Return the value forkey ifkey is in the dictionary, elsedefault.Ifdefault is not given, it defaults to
None
, so that this methodnever raises aKeyError
.
- items()¶
Return a new view of the dictionary’s items (
(key,value)
pairs).See thedocumentation of view objects.
- keys()¶
Return a new view of the dictionary’s keys. See thedocumentationof view objects.
- pop(key[,default])¶
Ifkey is in the dictionary, remove it and return its value, else returndefault. Ifdefault is not given andkey is not in the dictionary,a
KeyError
is raised.
- popitem()¶
Remove and return a
(key,value)
pair from the dictionary.Pairs are returned inLIFO order.popitem()
is useful to destructively iterate over a dictionary, asoften used in set algorithms. If the dictionary is empty, callingpopitem()
raises aKeyError
.Changed in version 3.7:LIFO order is now guaranteed. In prior versions,
popitem()
wouldreturn an arbitrary key/value pair.
- reversed(d)
Return a reverse iterator over the keys of the dictionary. This is ashortcut for
reversed(d.keys())
.Added in version 3.8.
- setdefault(key,default=None,/)¶
Ifkey is in the dictionary, return its value. If not, insertkeywith a value ofdefault and returndefault.default defaults to
None
.
- update([other])¶
Update the dictionary with the key/value pairs fromother, overwritingexisting keys. Return
None
.update()
accepts either another object with akeys()
method (inwhich case__getitem__()
is called with every key returned fromthe method) or an iterable of key/value pairs (as tuples or other iterablesof length two). If keyword arguments are specified, the dictionary is thenupdated with those key/value pairs:d.update(red=1,blue=2)
.
- values()¶
Return a new view of the dictionary’s values. See thedocumentation of view objects.
An equality comparison between one
dict.values()
view and anotherwill always returnFalse
. This also applies when comparingdict.values()
to itself:>>>d={'a':1}>>>d.values()==d.values()False
- d|other
Create a new dictionary with the merged keys and values ofd andother, which must both be dictionaries. The values ofother takepriority whend andother share keys.
Added in version 3.9.
- d|=other
Update the dictionaryd with keys and values fromother, which may beeither amapping or aniterable of key/value pairs. Thevalues ofother take priority whend andother share keys.
Added in version 3.9.
Dictionaries and dictionary views are reversible.
>>>d={"one":1,"two":2,"three":3,"four":4}>>>d{'one': 1, 'two': 2, 'three': 3, 'four': 4}>>>list(reversed(d))['four', 'three', 'two', 'one']>>>list(reversed(d.values()))[4, 3, 2, 1]>>>list(reversed(d.items()))[('four', 4), ('three', 3), ('two', 2), ('one', 1)]
Changed in version 3.8:Dictionaries are now reversible.
See also
types.MappingProxyType
can be used to create a read-only viewof adict
.
Dictionary view objects¶
The objects returned bydict.keys()
,dict.values()
anddict.items()
areview objects. They provide a dynamic view on thedictionary’s entries, which means that when the dictionary changes, the viewreflects these changes.
Dictionary views can be iterated over to yield their respective data, andsupport membership tests:
- len(dictview)
Return the number of entries in the dictionary.
- iter(dictview)
Return an iterator over the keys, values or items (represented as tuples of
(key,value)
) in the dictionary.Keys and values are iterated over in insertion order.This allows the creation of
(value,key)
pairsusingzip()
:pairs=zip(d.values(),d.keys())
. Another way tocreate the same list ispairs=[(v,k)for(k,v)ind.items()]
.Iterating views while adding or deleting entries in the dictionary may raisea
RuntimeError
or fail to iterate over all entries.Changed in version 3.7:Dictionary order is guaranteed to be insertion order.
- xindictview
Return
True
ifx is in the underlying dictionary’s keys, values oritems (in the latter case,x should be a(key,value)
tuple).
- reversed(dictview)
Return a reverse iterator over the keys, values or items of the dictionary.The view will be iterated in reverse order of the insertion.
Changed in version 3.8:Dictionary views are now reversible.
- dictview.mapping
Return a
types.MappingProxyType
that wraps the originaldictionary to which the view refers.Added in version 3.10.
Keys views are set-like since their entries are unique andhashable.Items views also have set-like operations since the (key, value) pairsare unique and the keys are hashable.If all values in an items view are hashable as well,then the items view can interoperate with other sets.(Values views are not treated as set-likesince the entries are generally not unique.) For set-like views, all of theoperations defined for the abstract base classcollections.abc.Set
areavailable (for example,==
,<
, or^
). While using set operators,set-like views accept any iterable as the other operand,unlike sets which only accept sets as the input.
An example of dictionary view usage:
>>>dishes={'eggs':2,'sausage':1,'bacon':1,'spam':500}>>>keys=dishes.keys()>>>values=dishes.values()>>># iteration>>>n=0>>>forvalinvalues:...n+=val...>>>print(n)504>>># keys and values are iterated over in the same order (insertion order)>>>list(keys)['eggs', 'sausage', 'bacon', 'spam']>>>list(values)[2, 1, 1, 500]>>># view objects are dynamic and reflect dict changes>>>deldishes['eggs']>>>deldishes['sausage']>>>list(keys)['bacon', 'spam']>>># set operations>>>keys&{'eggs','bacon','salad'}{'bacon'}>>>keys^{'sausage','juice'}=={'juice','sausage','bacon','spam'}True>>>keys|['juice','juice','juice']=={'bacon','spam','juice'}True>>># get back a read-only proxy for the original dictionary>>>values.mappingmappingproxy({'bacon': 1, 'spam': 500})>>>values.mapping['spam']500
Context Manager Types¶
Python’swith
statement supports the concept of a runtime contextdefined by a context manager. This is implemented using a pair of methodsthat allow user-defined classes to define a runtime context that is enteredbefore the statement body is executed and exited when the statement ends:
- contextmanager.__enter__()¶
Enter the runtime context and return either this object or another objectrelated to the runtime context. The value returned by this method is bound tothe identifier in the
as
clause ofwith
statements usingthis context manager.An example of a context manager that returns itself is afile object.File objects return themselves from __enter__() to allow
open()
to beused as the context expression in awith
statement.An example of a context manager that returns a related object is the onereturned by
decimal.localcontext()
. These managers set the activedecimal context to a copy of the original decimal context and then return thecopy. This allows changes to be made to the current decimal context in the bodyof thewith
statement without affecting code outside thewith
statement.
- contextmanager.__exit__(exc_type,exc_val,exc_tb)¶
Exit the runtime context and return a Boolean flag indicating if any exceptionthat occurred should be suppressed. If an exception occurred while executing thebody of the
with
statement, the arguments contain the exception type,value and traceback information. Otherwise, all three arguments areNone
.Returning a true value from this method will cause the
with
statementto suppress the exception and continue execution with the statement immediatelyfollowing thewith
statement. Otherwise the exception continuespropagating after this method has finished executing. Exceptions that occurduring execution of this method will replace any exception that occurred in thebody of thewith
statement.The exception passed in should never be reraised explicitly - instead, thismethod should return a false value to indicate that the method completedsuccessfully and does not want to suppress the raised exception. This allowscontext management code to easily detect whether or not an
__exit__()
method has actually failed.
Python defines several context managers to support easy thread synchronisation,prompt closure of files or other objects, and simpler manipulation of the activedecimal arithmetic context. The specific types are not treated specially beyondtheir implementation of the context management protocol. See thecontextlib
module for some examples.
Python’sgenerators and thecontextlib.contextmanager
decoratorprovide a convenient way to implement these protocols. If a generator function isdecorated with thecontextlib.contextmanager
decorator, it will return acontext manager implementing the necessary__enter__()
and__exit__()
methods, rather than the iterator produced by anundecorated generator function.
Note that there is no specific slot for any of these methods in the typestructure for Python objects in the Python/C API. Extension types wanting todefine these methods must provide them as a normal Python accessible method.Compared to the overhead of setting up the runtime context, the overhead of asingle class dictionary lookup is negligible.
Type Annotation Types —Generic Alias,Union¶
The core built-in types fortype annotations areGeneric Alias andUnion.
Generic Alias Type¶
GenericAlias
objects are generally created bysubscripting a class. They are most often used withcontainer classes, such aslist
ordict
. For example,list[int]
is aGenericAlias
object createdby subscripting thelist
class with the argumentint
.GenericAlias
objects are intended primarily for use withtype annotations.
Note
It is generally only possible to subscript a class if the class implementsthe special method__class_getitem__()
.
AGenericAlias
object acts as a proxy for ageneric type,implementingparameterized generics.
For a container class, theargument(s) supplied to asubscription of the class mayindicate the type(s) of the elements an object contains. For example,set[bytes]
can be used in type annotations to signify aset
inwhich all the elements are of typebytes
.
For a class which defines__class_getitem__()
but is not acontainer, the argument(s) supplied to a subscription of the class will oftenindicate the return type(s) of one or more methods defined on an object. Forexample,regularexpressions
can be used on both thestr
datatype and thebytes
data type:
If
x=re.search('foo','foo')
,x
will be are.Match object where the return values ofx.group(0)
andx[0]
will both be of typestr
. We canrepresent this kind of object in type annotations with theGenericAlias
re.Match[str]
.If
y=re.search(b'bar',b'bar')
, (note theb
forbytes
),y
will also be an instance ofre.Match
, but the returnvalues ofy.group(0)
andy[0]
will both be of typebytes
. In type annotations, we would represent thisvariety ofre.Match objects withre.Match[bytes]
.
GenericAlias
objects are instances of the classtypes.GenericAlias
, which can also be used to createGenericAlias
objects directly.
- T[X,Y,...]
Creates a
GenericAlias
representing a typeT
parameterized by typesX,Y, and more depending on theT
used.For example, a function expecting alist
containingfloat
elements:defaverage(values:list[float])->float:returnsum(values)/len(values)
Another example formapping objects, using a
dict
, whichis a generic type expecting two type parameters representing the key typeand the value type. In this example, the function expects adict
withkeys of typestr
and values of typeint
:defsend_post_request(url:str,body:dict[str,int])->None:...
The builtin functionsisinstance()
andissubclass()
do not acceptGenericAlias
types for their second argument:
>>>isinstance([1,2],list[str])Traceback (most recent call last): File"<stdin>", line1, in<module>TypeError:isinstance() argument 2 cannot be a parameterized generic
The Python runtime does not enforcetype annotations.This extends to generic types and their type parameters. When creatinga container object from aGenericAlias
, the elements in the container are not checkedagainst their type. For example, the following code is discouraged, but willrun without errors:
>>>t=list[str]>>>t([1,2,3])[1, 2, 3]
Furthermore, parameterized generics erase type parameters during objectcreation:
>>>t=list[str]>>>type(t)<class 'types.GenericAlias'>>>>l=t()>>>type(l)<class 'list'>
Callingrepr()
orstr()
on a generic shows the parameterized type:
>>>repr(list[int])'list[int]'>>>str(list[int])'list[int]'
The__getitem__()
method of generic containers will raise anexception to disallow mistakes likedict[str][str]
:
>>>dict[str][str]Traceback (most recent call last):...TypeError:dict[str] is not a generic class
However, such expressions are valid whentype variables areused. The index must have as many elements as there are type variable itemsin theGenericAlias
object’s__args__
.
>>>fromtypingimportTypeVar>>>Y=TypeVar('Y')>>>dict[str,Y][int]dict[str, int]
Standard Generic Classes¶
The following standard library classes support parameterized generics. Thislist is non-exhaustive.
Special Attributes ofGenericAlias
objects¶
All parameterized generics implement special read-only attributes.
- genericalias.__origin__¶
This attribute points at the non-parameterized generic class:
>>>list[int].__origin__<class 'list'>
- genericalias.__args__¶
This attribute is a
tuple
(possibly of length 1) of generictypes passed to the original__class_getitem__()
of thegeneric class:>>>dict[str,list[int]].__args__(<class 'str'>, list[int])
- genericalias.__parameters__¶
This attribute is a lazily computed tuple (possibly empty) of unique typevariables found in
__args__
:>>>fromtypingimportTypeVar>>>T=TypeVar('T')>>>list[T].__parameters__(~T,)
Note
A
GenericAlias
object withtyping.ParamSpec
parameters may nothave correct__parameters__
after substitution becausetyping.ParamSpec
is intended primarily for static type checking.
- genericalias.__unpacked__¶
A boolean that is true if the alias has been unpacked using the
*
operator (seeTypeVarTuple
).Added in version 3.11.
See also
- PEP 484 - Type Hints
Introducing Python’s framework for type annotations.
- PEP 585 - Type Hinting Generics In Standard Collections
Introducing the ability to natively parameterize standard-libraryclasses, provided they implement the special class method
__class_getitem__()
.- Generics,user-defined generics and
typing.Generic
Documentation on how to implement generic classes that can beparameterized at runtime and understood by static type-checkers.
Added in version 3.9.
Union Type¶
A union object holds the value of the|
(bitwise or) operation onmultipletype objects. These types are intendedprimarily fortype annotations. The union type expressionenables cleaner type hinting syntax compared totyping.Union
.
- X|Y|...
Defines a union object which holds typesX,Y, and so forth.
X|Y
means either X or Y. It is equivalent totyping.Union[X,Y]
.For example, the following function expects an argument of typeint
orfloat
:defsquare(number:int|float)->int|float:returnnumber**2
Note
The
|
operand cannot be used at runtime to define unions where one ormore members is a forward reference. For example,int|"Foo"
, where"Foo"
is a reference to a class not yet defined, will fail atruntime. For unions which include forward references, present thewhole expression as a string, e.g."int|Foo"
.
- union_object==other
Union objects can be tested for equality with other union objects. Details:
Unions of unions are flattened:
(int|str)|float==int|str|float
Redundant types are removed:
int|str|int==int|str
When comparing unions, the order is ignored:
int|str==str|int
It is compatible with
typing.Union
:int|str==typing.Union[int,str]
Optional types can be spelled as a union with
None
:str|None==typing.Optional[str]
- isinstance(obj,union_object)
- issubclass(obj,union_object)
Calls to
isinstance()
andissubclass()
are also supported with aunion object:>>>isinstance("",int|str)True
However,parameterized generics inunion objects cannot be checked:
>>>isinstance(1,int|list[int])# short-circuit evaluationTrue>>>isinstance([1],int|list[int])Traceback (most recent call last):...TypeError:isinstance() argument 2 cannot be a parameterized generic
The user-exposed type for the union object can be accessed fromtypes.UnionType
and used forisinstance()
checks. An object cannot beinstantiated from the type:
>>>importtypes>>>isinstance(int|str,types.UnionType)True>>>types.UnionType()Traceback (most recent call last): File"<stdin>", line1, in<module>TypeError:cannot create 'types.UnionType' instances
Note
The__or__()
method for type objects was added to support the syntaxX|Y
. If a metaclass implements__or__()
, the Union mayoverride it:
>>>classM(type):...def__or__(self,other):...return"Hello"...>>>classC(metaclass=M):...pass...>>>C|int'Hello'>>>int|Cint | C
See also
PEP 604 – PEP proposing theX|Y
syntax and the Union type.
Added in version 3.10.
Other Built-in Types¶
The interpreter supports several other kinds of objects. Most of these supportonly one or two operations.
Modules¶
The only special operation on a module is attribute access:m.name
, wherem is a module andname accesses a name defined inm’s symbol table.Module attributes can be assigned to. (Note that theimport
statement is not, strictly speaking, an operation on a module object;importfoo
does not require a module object namedfoo to exist, rather it requiresan (external)definition for a module namedfoo somewhere.)
A special attribute of every module is__dict__
. This is thedictionary containing the module’s symbol table. Modifying this dictionary willactually change the module’s symbol table, but direct assignment to the__dict__
attribute is not possible (you can writem.__dict__['a']=1
, which definesm.a
to be1
, but you can’t writem.__dict__={}
). Modifying__dict__
directly isnot recommended.
Modules built into the interpreter are written like this:<module'sys'(built-in)>
. If loaded from a file, they are written as<module'os'from'/usr/local/lib/pythonX.Y/os.pyc'>
.
Classes and Class Instances¶
SeeObjects, values and types andClass definitions for these.
Functions¶
Function objects are created by function definitions. The only operation on afunction object is to call it:func(argument-list)
.
There are really two flavors of function objects: built-in functions anduser-defined functions. Both support the same operation (to call the function),but the implementation is different, hence the different object types.
SeeFunction definitions for more information.
Methods¶
Methods are functions that are called using the attribute notation. There aretwo flavors:built-in methods (such asappend()
on lists) andclass instance method.Built-in methods are described with the types that support them.
If you access a method (a function defined in a class namespace) through aninstance, you get a special object: abound method (also calledinstance method) object. When called, it will addtheself
argumentto the argument list. Bound methods have two special read-only attributes:m.__self__
is the object on which the methodoperates, andm.__func__
isthe function implementing the method. Callingm(arg-1,arg-2,...,arg-n)
is completely equivalent to callingm.__func__(m.__self__,arg-1,arg-2,...,arg-n)
.
Likefunction objects, bound method objects supportgetting arbitraryattributes. However, since method attributes are actually stored on theunderlying function object (method.__func__
), setting method attributes onbound methods is disallowed. Attempting to set an attribute on a methodresults in anAttributeError
being raised. In order to set a methodattribute, you need to explicitly set it on the underlying function object:
>>>classC:...defmethod(self):...pass...>>>c=C()>>>c.method.whoami='my name is method'# can't set on the methodTraceback (most recent call last): File"<stdin>", line1, in<module>AttributeError:'method' object has no attribute 'whoami'>>>c.method.__func__.whoami='my name is method'>>>c.method.whoami'my name is method'
SeeInstance methods for more information.
Code Objects¶
Code objects are used by the implementation to represent “pseudo-compiled”executable Python code such as a function body. They differ from functionobjects because they don’t contain a reference to their global executionenvironment. Code objects are returned by the built-incompile()
functionand can be extracted from function objects through their__code__
attribute. See also thecode
module.
Accessing__code__
raises anauditing eventobject.__getattr__
with argumentsobj
and"__code__"
.
A code object can be executed or evaluated by passing it (instead of a sourcestring) to theexec()
oreval()
built-in functions.
SeeThe standard type hierarchy for more information.
Type Objects¶
Type objects represent the various object types. An object’s type is accessedby the built-in functiontype()
. There are no special operations ontypes. The standard moduletypes
defines names for all standard built-intypes.
Types are written like this:<class'int'>
.
The Null Object¶
This object is returned by functions that don’t explicitly return a value. Itsupports no special operations. There is exactly one null object, namedNone
(a built-in name).type(None)()
produces the same singleton.
It is written asNone
.
The Ellipsis Object¶
This object is commonly used by slicing (seeSlicings). It supports nospecial operations. There is exactly one ellipsis object, namedEllipsis
(a built-in name).type(Ellipsis)()
produces theEllipsis
singleton.
It is written asEllipsis
or...
.
The NotImplemented Object¶
This object is returned from comparisons and binary operations when they areasked to operate on types they don’t support. SeeComparisons for moreinformation. There is exactly oneNotImplemented
object.type(NotImplemented)()
produces the singleton instance.
It is written asNotImplemented
.
Internal Objects¶
SeeThe standard type hierarchy for this information. It describesstack frame objects,traceback objects, and slice objects.
Special Attributes¶
The implementation adds a few special read-only attributes to several objecttypes, where they are relevant. Some of these are not reported by thedir()
built-in function.
- definition.__name__¶
The name of the class, function, method, descriptor, orgenerator instance.
- definition.__qualname__¶
Thequalified name of the class, function, method, descriptor,or generator instance.
Added in version 3.3.
- definition.__module__¶
The name of the module in which a class or function was defined.
- definition.__doc__¶
The documentation string of a class or function, or
None
if undefined.
- definition.__type_params__¶
Thetype parameters of generic classes, functions,andtype aliases. For classes and functions thatare not generic, this will be an empty tuple.
Added in version 3.12.
Integer string conversion length limitation¶
CPython has a global limit for converting betweenint
andstr
to mitigate denial of service attacks. This limitonly applies to decimal orother non-power-of-two number bases. Hexadecimal, octal, and binary conversionsare unlimited. The limit can be configured.
Theint
type in CPython is an arbitrary length number stored in binaryform (commonly known as a “bignum”). There exists no algorithm that can converta string to a binary integer or a binary integer to a string in linear time,unless the base is a power of 2. Even the best known algorithms for base 10have sub-quadratic complexity. Converting a large value such asint('1'*500_000)
can take over a second on a fast CPU.
Limiting conversion size offers a practical way to avoidCVE 2020-10735.
The limit is applied to the number of digit characters in the input or outputstring when a non-linear conversion algorithm would be involved. Underscoresand the sign are not counted towards the limit.
When an operation would exceed the limit, aValueError
is raised:
>>>importsys>>>sys.set_int_max_str_digits(4300)# Illustrative, this is the default.>>>_=int('2'*5432)Traceback (most recent call last):...ValueError:Exceeds the limit (4300 digits) for integer string conversion: value has 5432 digits; use sys.set_int_max_str_digits() to increase the limit>>>i=int('2'*4300)>>>len(str(i))4300>>>i_squared=i*i>>>len(str(i_squared))Traceback (most recent call last):...ValueError:Exceeds the limit (4300 digits) for integer string conversion; use sys.set_int_max_str_digits() to increase the limit>>>len(hex(i_squared))7144>>>assertint(hex(i_squared),base=16)==i*i# Hexadecimal is unlimited.
The default limit is 4300 digits as provided insys.int_info.default_max_str_digits
.The lowest limit that can be configured is 640 digits as provided insys.int_info.str_digits_check_threshold
.
Verification:
>>>importsys>>>assertsys.int_info.default_max_str_digits==4300,sys.int_info>>>assertsys.int_info.str_digits_check_threshold==640,sys.int_info>>>msg=int('578966293710682886880994035146873798396722250538762761564'...'9252925514383915483333812743580549779436104706260696366600'...'571186405732').to_bytes(53,'big')...
Added in version 3.11.
Affected APIs¶
The limitation only applies to potentially slow conversions betweenint
andstr
orbytes
:
int(string)
with default base 10.int(string,base)
for all bases that are not a power of 2.str(integer)
.repr(integer)
.any other string conversion to base 10, for example
f"{integer}"
,"{}".format(integer)
, orb"%d"%integer
.
The limitations do not apply to functions with a linear algorithm:
int(string,base)
with base 2, 4, 8, 16, or 32.Format Specification Mini-Language for hex, octal, and binary numbers.
Configuring the limit¶
Before Python starts up you can use an environment variable or an interpretercommand line flag to configure the limit:
PYTHONINTMAXSTRDIGITS
, e.g.PYTHONINTMAXSTRDIGITS=640python3
to set the limit to 640 orPYTHONINTMAXSTRDIGITS=0python3
to disable the limitation.-Xint_max_str_digits
, e.g.python3-Xint_max_str_digits=640
sys.flags.int_max_str_digits
contains the value ofPYTHONINTMAXSTRDIGITS
or-Xint_max_str_digits
.If both the env var and the-X
option are set, the-X
option takesprecedence. A value of-1 indicates that both were unset, thus a value ofsys.int_info.default_max_str_digits
was used during initialization.
From code, you can inspect the current limit and set a new one using thesesys
APIs:
sys.get_int_max_str_digits()
andsys.set_int_max_str_digits()
area getter and setter for the interpreter-wide limit. Subinterpreters havetheir own limit.
Information about the default and minimum can be found insys.int_info
:
sys.int_info.default_max_str_digits
is the compiled-indefault limit.sys.int_info.str_digits_check_threshold
is the lowestaccepted value for the limit (other than 0 which disables it).
Added in version 3.11.
Caution
Setting a low limitcan lead to problems. While rare, code exists thatcontains integer constants in decimal in their source that exceed theminimum threshold. A consequence of setting the limit is that Python sourcecode containing decimal integer literals longer than the limit willencounter an error during parsing, usually at startup time or import time oreven at installation time - anytime an up to date.pyc
does not alreadyexist for the code. A workaround for source that contains such largeconstants is to convert them to0x
hexadecimal form as it has no limit.
Test your application thoroughly if you use a low limit. Ensure your testsrun with the limit set early via the environment or flag so that it appliesduring startup and even during any installation step that may invoke Pythonto precompile.py
sources to.pyc
files.
Recommended configuration¶
The defaultsys.int_info.default_max_str_digits
is expected to bereasonable for most applications. If your application requires a differentlimit, set it from your main entry point using Python version agnostic code asthese APIs were added in security patch releases in versions before 3.12.
Example:
>>>importsys>>>ifhasattr(sys,"set_int_max_str_digits"):...upper_bound=68000...lower_bound=4004...current_limit=sys.get_int_max_str_digits()...ifcurrent_limit==0orcurrent_limit>upper_bound:...sys.set_int_max_str_digits(upper_bound)...elifcurrent_limit<lower_bound:...sys.set_int_max_str_digits(lower_bound)
If you need to disable it entirely, set it to0
.
Footnotes
[1]Additional information on these special methods may be found in the PythonReference Manual (Basic customization).
[2]As a consequence, the list[1,2]
is considered equal to[1.0,2.0]
, andsimilarly for tuples.
They must have since the parser can’t tell the type of the operands.
[4](1,2,3,4)Cased characters are those with general category property being one of“Lu” (Letter, uppercase), “Ll” (Letter, lowercase), or “Lt” (Letter, titlecase).
[5](1,2)To format only a tuple you should therefore provide a singleton tuple whose onlyelement is the tuple to be formatted.