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 return0orFalse 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

xory

ifx is true, thenx, elsey

(1)

xandy

ifx is false, thenx, elsey

(2)

notx

ifx is false, thenTrue,elseFalse

(3)

Notes:

  1. This is a short-circuit operator, so it only evaluates the secondargument if the first one is false.

  2. This is a short-circuit operator, so it only evaluates the secondargument if the first one is true.

  3. 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

is

object identity

isnot

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

x+y

sum ofx andy

x-y

difference ofx andy

x*y

product ofx andy

x/y

quotient ofx andy

x//y

floored quotient ofx andy

(1)(2)

x%y

remainder ofx/y

(2)

-x

x negated

+x

x unchanged

abs(x)

absolute value or magnitude ofx

abs()

int(x)

x converted to integer

(3)(6)

int()

float(x)

x converted to floating point

(4)(6)

float()

complex(re,im)

a complex number with real partre, imaginary partim.im defaults to zero.

(6)

complex()

c.conjugate()

conjugate of the complex numberc

divmod(x,y)

the pair(x//y,x%y)

(2)

divmod()

pow(x,y)

x to the powery

(5)

pow()

x**y

x to the powery

(5)

Notes:

  1. Also referred to as integer division. For operands of typeint,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.

  2. Not for complex numbers. Instead convert to floats usingabs() ifappropriate.

  3. Conversion fromfloat toint truncates, discarding thefractional part. See functionsmath.floor() andmath.ceil() foralternative conversions.

  4. float also accepts the strings “nan” and “inf” with an optional prefix “+”or “-” for Not a Number (NaN) and positive or negative infinity.

  5. Python definespow(0,0) and0**0 to be1, as is common forprogramming languages.

  6. The numeric literals accepted include the digits0 to9 or anyUnicode equivalent (code points with theNd property).

    Seethe Unicode Standardfor a complete list of code points with theNd property.

Allnumbers.Real types (int andfloat) also includethe following operations:

Operation

Result

math.trunc(x)

x truncated toIntegral

round(x[,n])

x rounded ton digits,rounding half to even. Ifn isomitted, it defaults to 0.

math.floor(x)

the greatestIntegral<=x

math.ceil(x)

the leastIntegral >=x

For additional numeric operations see themath andcmathmodules.

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

x|y

bitwiseor ofx andy

(4)

x^y

bitwiseexclusive or ofx andy

(4)

x&y

bitwiseand ofx andy

(4)

x<<n

x shifted left byn bits

(1)(2)

x>>n

x shifted right byn bits

(1)(3)

~x

the bits ofx inverted

Notes:

  1. Negative shift counts are illegal and cause aValueError to be raised.

  2. A left shift byn bits is equivalent to multiplication bypow(2,n).

  3. A right shift byn bits is equivalent to floor division bypow(2,n).

  4. Performing these calculations with at least one extra sign extension bit ina finite two’s complement representation (a working bit-width of1+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.Integralabstract 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, ifx 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. AnOverflowError 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 isFalse 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 anOverflowError.

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 forlength 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 forbyteorder.

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 and1 as thedenominator.

Added in version 3.8.

int.is_integer()

ReturnsTrue. Exists for duck type compatibility withfloat.is_integer().

Added in version 3.12.

Additional Methods on Float

The float type implements thenumbers.Realabstract 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. RaisesOverflowError on infinities and aValueError onNaNs.

float.is_integer()

ReturnTrue 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 leading0x 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-,integerandfraction are strings of hexadecimal digits, andexponentis 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:

  • Ifx=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.

  • Ifx=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.

  • Ifx=m/n is a negative rational number definehash(x)as-hash(-x). If the resulting hash is-1, replace it with-2.

  • The particular valuessys.hash_info.inf and-sys.hash_info.infare used as hash values for positiveinfinity or negative infinity (respectively).

  • For acomplex 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 thetp_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 thefor 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 theStopIteration 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

xins

True if an item ofs isequal tox, elseFalse

(1)

xnotins

False if an item ofs isequal tox, elseTrue

(1)

s+t

the concatenation ofs andt

(6)(7)

s*n orn*s

equivalent to addings toitselfn times

(2)(7)

s[i]

ith item ofs, origin 0

(3)

s[i:j]

slice ofs fromi toj

(3)(4)

s[i:j:k]

slice ofs fromi tojwith stepk

(3)(5)

len(s)

length ofs

min(s)

smallest item ofs

max(s)

largest item ofs

s.index(x[,i[,j]])

index of the first occurrenceofx ins (at or afterindexi and before indexj)

(8)

s.count(x)

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:

  1. While thein 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
  2. Values ofn less than0 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?.

  3. 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.

  4. The slice ofs fromi toj is defined as the sequence of items with indexk such thati<=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.

  5. The slice ofs fromi toj with stepk is defined as the sequence ofitems with indexx=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.

  6. 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 concatenatingstr objects, you can build a list and usestr.join() at the end or else write to anio.StringIOinstance and retrieve its value when complete

    • if concatenatingbytes objects, you can similarly usebytes.join() orio.BytesIO, or you can do in-placeconcatenation with abytearray object.bytearrayobjects are mutable and have an efficient overallocation mechanism

    • if concatenatingtuple objects, extend alist instead

    • for other types, investigate the relevant class documentation

  7. Some sequence types (such asrange) only support item sequencesthat follow specific patterns, and hence don’t support sequenceconcatenation or repetition.

  8. 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 andfrozensetinstances.

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

s[i]=x

itemi ofs is replaced byx

s[i:j]=t

slice ofs fromi tojis replaced by the contents ofthe iterablet

dels[i:j]

same ass[i:j]=[]

s[i:j:k]=t

the elements ofs[i:j:k]are replaced by those oft

(1)

dels[i:j:k]

removes the elements ofs[i:j:k] from the list

s.append(x)

appendsx to the end of thesequence (same ass[len(s):len(s)]=[x])

s.clear()

removes all items froms(same asdels[:])

(5)

s.copy()

creates a shallow copy ofs(same ass[:])

(5)

s.extend(t) ors+=t

extendss with thecontents oft (for themost part the same ass[len(s):len(s)]=t)

s*=n

updatess with its contentsrepeatedn times

(6)

s.insert(i,x)

insertsx intos at theindex given byi(same ass[i:i]=[x])

s.pop() ors.pop(i)

retrieves the item ati andalso removes it froms

(2)

s.remove(x)

removes the first item froms wheres[i] is equal tox

(3)

s.reverse()

reverses the items ofs inplace

(4)

Notes:

  1. Ifk is not equal to1,t must have the same length as the slice it is replacing.

  2. The optional argumenti defaults to-1, so that by default the lastitem is removed and returned.

  3. remove() raisesValueError whenx is not found ins.

  4. Thereverse() 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.

  5. 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.

  6. 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 toiterable[:].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 thesorted()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 ofNonemeans that list items are sorted directly without calculating a separatekey value.

Thefunctools.cmp_to_key() utility is available to convert a 2.xstylecmp function to akey function.

reverse is a boolean value. If set toTrue, 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 (usesorted() toexplicitly request a new sorted list instance).

Thesort() 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 raisesValueError 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 thetuple() 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 inforloops.

classrange(stop)
classrange(start,stop[,step])

The arguments to the range constructor must be integers (either built-inint 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 ranger 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 formular[i]=start+step*i, but the constraints arei>=0andr[i]>stop.

A range object will be empty ifr[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 thansys.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 (or0 if the parameter wasnot supplied)

stop

The value of thestop parameter

step

The value of thestep parameter (or1 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).

Added thestart,stop andstepattributes.

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 thestrconstructor.

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 ofstr()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 abytes 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 thestr 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 tolen(s). For example:

>>>'Python'.center(10)'  Python  '>>>'Python'.center(10,'-')'--Python--'>>>'Python'.center(4)'Python'
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. For example:

>>>'spam, spam, spam'.count('spam')3>>>'spam, spam, spam'.count('spam',5)2>>>'spam, spam, spam'.count('spam',5,10)1>>>'spam, spam, spam'.count('eggs')0>>>'spam, spam, spam'.count('')17
str.encode(encoding='utf-8',errors='strict')

Return the string encoded tobytes.

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]])

ReturnTrue 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 slices[start:end]. Optional argumentsstart andend areinterpreted as in slice notation. Return-1 ifsub is not found.

Note

Thefind() method should be used only if you need to know theposition ofsub. To check ifsub is a substring or not, use thein operator:

>>>'Py'in'Python'True
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 then type, the function setstemporarily theLC_CTYPE locale to theLC_NUMERIC locale in somecases.

str.format_map(mapping,/)

Similar tostr.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]])

Likefind(), but raiseValueError when the substring isnot found.

str.isalnum()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue if all characters in the string are decimalcharacters and there is at least one character,Falseotherwise. 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()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue if all cased characters[4] in the string are lowercase andthere is at least one cased character,False otherwise.

str.isnumeric()

ReturnTrue if all characters in the string are numericcharacters, and there is at least one character,Falseotherwise. 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()

ReturnTrue if all characters in the string are printable,False if itcontains at least one non-printable character.

Here “printable” means the character is suitable forrepr() 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(seeunicodedata) 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()

ReturnTrue 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(seeunicodedata), either its general category isZs(“Separator, space”), or its bidirectional class is one ofWS,B, orS.

str.istitle()

ReturnTrue 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()

ReturnTrue 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.ATypeError 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 tolen(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 omittedorNone, 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'

Seestr.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 forstr.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) orNone. 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 toNone 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, returnstring[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,returnstring[:-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 withins[start:end]. Optional argumentsstartandend are interpreted as in slice notation. Return-1 on failure.

str.rindex(sub[,start[,end]])

Likerfind() 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 tolen(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 orNone, 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 omittedorNone, 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'

Seestr.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 mostmaxsplit+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 isNone, 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 isNone 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']

Unlikesplit() 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]])

ReturnTrue 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 orNone, 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 thats.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"

Thestring.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 usestr.maketrans() to create a translation map fromcharacter-to-character mappings in different formats.

See also thecodecs 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 thats.upper().isupper() might beFalse ifscontains 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 3.7:Theawait andasyncfor can be used in expressionswithin f-strings.

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

!a

ascii()

!r

repr()

!s

str()

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:

  1. The'%' character, which marks the start of the specifier.

  2. Mapping key (optional), consisting of a parenthesised sequence of characters(for example,(somename)).

  3. Conversion flags (optional), which affect the result of some conversiontypes.

  4. 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.

  5. 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.

  6. Length modifier (optional).

  7. 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).

'0'

The conversion will be zero padded for numeric values.

'-'

The converted value is left adjusted (overrides the'0'conversion if both are given).

''

(a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion.

'+'

A sign character ('+' or'-') will precede the conversion(overrides a “space” flag).

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

'd'

Signed integer decimal.

'i'

Signed integer decimal.

'o'

Signed octal value.

(1)

'u'

Obsolete type – it is identical to'd'.

(6)

'x'

Signed hexadecimal (lowercase).

(2)

'X'

Signed hexadecimal (uppercase).

(2)

'e'

Floating-point exponential format (lowercase).

(3)

'E'

Floating-point exponential format (uppercase).

(3)

'f'

Floating-point decimal format.

(3)

'F'

Floating-point decimal format.

(3)

'g'

Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise.

(4)

'G'

Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise.

(4)

'c'

Single character (accepts integer or singlecharacter string).

'r'

String (converts any Python object usingrepr()).

(5)

's'

String (converts any Python object usingstr()).

(5)

'a'

String (converts any Python object usingascii()).

(5)

'%'

No argument is converted, results in a'%'character in the result.

Notes:

  1. The alternate form causes a leading octal specifier ('0o') to beinserted before the first digit.

  2. 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.

  3. 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.

  4. 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.

  5. If precision isN, the output is truncated toN characters.

  6. 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 ab 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 ar 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 that0<=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)

Thisbytes 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 tobytesobjects.

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)

Thisbytearray 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 tobytes.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, returnbytes[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, returnbytes[:-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 astr.

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 tostr 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]])

ReturnTrue 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 slices[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

Thefind() 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]])

Likefind(), 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. ATypeError 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 forbytes.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 withins[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]])

Likerfind() 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]])

ReturnTrue 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 thebytes.maketrans() method to create a translationtable.

Set thetable argument toNone 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). Forbytes 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). Forbytes 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 orNone, 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. Seeremoveprefix() 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). Forbytes 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 orNone,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 orNone, 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. Seeremovesuffix() 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 mostmaxsplit+1elements). 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 isNone, 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 orNone, 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()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue 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 sequenceb'abcdefghijklmnopqrstuvwxyz'. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'.

bytes.isspace()
bytearray.isspace()

ReturnTrue 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()

ReturnTrue 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()

ReturnTrue 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 sequenceb'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 sequenceb'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']

Unlikesplit() 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 sequenceb'abcdefghijklmnopqrstuvwxyz'. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'.

Unlikestr.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 sequenceb'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 sequenceb'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 ASCIIb'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:

  1. The'%' character, which marks the start of the specifier.

  2. Mapping key (optional), consisting of a parenthesised sequence of characters(for example,(somename)).

  3. Conversion flags (optional), which affect the result of some conversiontypes.

  4. 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.

  5. 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.

  6. Length modifier (optional).

  7. 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).

'0'

The conversion will be zero padded for numeric values.

'-'

The converted value is left adjusted (overrides the'0'conversion if both are given).

''

(a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion.

'+'

A sign character ('+' or'-') will precede the conversion(overrides a “space” flag).

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

'd'

Signed integer decimal.

'i'

Signed integer decimal.

'o'

Signed octal value.

(1)

'u'

Obsolete type – it is identical to'd'.

(8)

'x'

Signed hexadecimal (lowercase).

(2)

'X'

Signed hexadecimal (uppercase).

(2)

'e'

Floating-point exponential format (lowercase).

(3)

'E'

Floating-point exponential format (uppercase).

(3)

'f'

Floating-point decimal format.

(3)

'F'

Floating-point decimal format.

(3)

'g'

Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise.

(4)

'G'

Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise.

(4)

'c'

Single byte (accepts integer or singlebyte objects).

'b'

Bytes (any object that follows thebuffer protocol or has__bytes__()).

(5)

's'

's' is an alias for'b' and should onlybe used for Python2/3 code bases.

(6)

'a'

Bytes (converts any Python object usingrepr(obj).encode('ascii','backslashreplace')).

(5)

'r'

'r' is an alias for'a' and should onlybe used for Python2/3 code bases.

(7)

'%'

No argument is converted, results in a'%'character in the result.

Notes:

  1. The alternate form causes a leading octal specifier ('0o') to beinserted before the first digit.

  2. 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.

  3. 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.

  4. 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.

  5. If precision isN, the output is truncated toN characters.

  6. b'%s' is deprecated, but will not be removed during the 3.x series.

  7. b'%r' is deprecated, but will not be removed during the 3.x series.

  8. 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 amemoryview that referencesobject.object mustsupport the buffer protocol. Built-in objects that support the bufferprotocol includebytes andbytearray.

Amemoryview 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:Ifview.ndim==0,len(view) now raisesTypeError instead of returning 1.

Theitemsize attribute will give you the number ofbytes in a single element.

Amemoryview 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'

Ifformat 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 ashash(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 withcollections.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 usingstruct syntax.

For the subset ofstruct 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 thestruct 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 thebytes 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 tobytes.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]

Changed in version 3.3:tolist() now supports all single character native formats instruct module syntax as well as multi-dimensionalrepresentations.

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,abytearray 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 aValueError (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 thewith 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 instruct 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 (instruct 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 ofndim giving the shape of thememory as an N-dimensional array.

Changed in version 3.3:An empty tuple instead ofNone when ndim = 0.

strides

A tuple of integers the length ofndim giving the size in bytes toaccess each element for each dimension of the array.

Changed in version 3.3:An empty tuple instead ofNone 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 befrozensetobjects. 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 ofset 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)

ReturnTrue 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 ofunion(),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').

Bothset 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 ofset are compared to instances offrozensetbased 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 returnFalse:a<b,a==b, ora>b.

Since sets only define partial ordering (subset relationships), the output ofthelist.sort() method is undefined for lists of sets.

Set elements, like dictionary keys, must behashable.

Binary operations that mixset instances withfrozensetreturn the type of the first operand. For example:frozenset('ab')|set('bc') returns an instance offrozenset.

The following table lists operations available forset 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.

remove(elem)

Remove elementelem from the set. RaisesKeyError ifelem isnot contained in the set.

discard(elem)

Remove elementelem from the set if it is present.

pop()

Remove and return an arbitrary element from the set. RaisesKeyError if the set is empty.

clear()

Remove all elements from the set.

Note, the non-operator versions of theupdate(),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 ofkey: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 akeys() 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 aKeyError 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 ofcollections.Counter. A different__missing__ method is usedbycollections.defaultdict.

d[key]=value

Setd[key] tovalue.

deld[key]

Removed[key] fromd. Raises aKeyError ifkey is not in themap.

keyind

ReturnTrue ifd has a keykey, elseFalse.

keynotind

Equivalent tonotkeyind.

iter(d)

Return an iterator over the keys of the dictionary. This is a shortcutforiter(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 toNone, 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,aKeyError 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 forreversed(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 toNone.

update([other])

Update the dictionary with the key/value pairs fromother, overwritingexisting keys. ReturnNone.

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 onedict.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 raiseaRuntimeError or fail to iterate over all entries.

Changed in version 3.7:Dictionary order is guaranteed to be insertion order.

xindictview

ReturnTrue 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 atypes.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 theas 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 allowopen() to beused as the context expression in awith statement.

An example of a context manager that returns a related object is the onereturned bydecimal.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 thewith 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 thewith 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:

  • Ifx=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 theGenericAliasre.Match[str].

  • Ify=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 createGenericAliasobjects directly.

T[X,Y,...]

Creates aGenericAlias 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 adict, 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 atuple (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

AGenericAlias 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 andtyping.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|Ymeans 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 withtyping.Union:

    int|str==typing.Union[int,str]
  • Optional types can be spelled as a union withNone:

    str|None==typing.Optional[str]
isinstance(obj,union_object)
issubclass(obj,union_object)

Calls toisinstance() 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 theimportstatement 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, orNone 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 andstrto 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 betweenintandstr 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 examplef"{integer}","{}".format(integer), orb"%d"%integer.

The limitations do not apply to functions with a linear algorithm:

Configuring the limit

Before Python starts up you can use an environment variable or an interpretercommand line flag to configure the limit:

From code, you can inspect the current limit and set a new one using thesesys APIs:

Information about the default and minimum can be found insys.int_info:

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.

[3]

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.