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 but None
.
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 the repr()
function or theslightly different str() function). The latter function is implicitlyused when an object is written by the print()
function.
Truth Value Testing¶
Any object can be tested for truth value, for use in an if
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 returns False
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 return 0
or False
for false and 1
or True
for true, unless otherwise stated.(Important exception: the Boolean operations or
and and
always returnone of their operands.)
Boolean Operations — and
, or
, not
¶
These are the Boolean operations, ordered by ascending priority:
Operation | Result | Notes |
---|---|---|
| if x is true, then x, elsey | (1) |
| if x is false, then x, elsey | (2) |
| if x is false, then | (3) |
Notes:
This is a short-circuit operator, so it only evaluates the secondargument if the first one is false.
This is a short-circuit operator, so it only evaluates the secondargument if the first one is true.
not
has a lower priority than non-Boolean operators, sonot a == b
isinterpreted asnot (a == b)
, anda == not b
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 to x < y andy <= z
, except that y is evaluated only once (but in both cases z is notevaluated at all when x < y
is found to be false).
This table summarizes the comparison operations:
Operation | Meaning |
---|---|
| strictly less than |
| less than or equal |
| strictly greater than |
| greater than or equal |
| equal |
| not equal |
| object identity |
| negated object identity |
Objects of different types, except different numeric types, never compare equal.The ==
operator is always defined but for some object types (for example,class objects) is equivalent to is
. 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 the is
and is not
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
andnot in
, are supported by types that are iterable orimplement the __contains__()
method.
Numeric Types — int
, float
, complex
¶
There are three distinct numeric types: integers, floating-pointnumbers, and complex numbers. In addition, Booleans are asubtype of integers. Integers have unlimited precision. Floating-pointnumbers are usually implemented using double in C; informationabout the precision and internal representation of floating-pointnumbers for the machine on which your program is running is availablein sys.float_info
. Complex numbers have a real and imaginarypart, which are each a floating-point number. To extract these partsfrom a complex number z, use z.real
and z.imag
. (The standardlibrary includes the additional numeric types fractions.Fraction
, forrationals, and decimal.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 constructors int()
, 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, see Operator precedence):
Operation | Result | Notes | Full documentation |
---|---|---|---|
| sum of x and y | ||
| difference of x and y | ||
| product of x and y | ||
| quotient of x and y | ||
| floored quotient of x andy | (1)(2) | |
| remainder of | (2) | |
| x negated | ||
| x unchanged | ||
| absolute value or magnitude ofx | ||
| x converted to integer | (3)(6) | |
| x converted to floating point | (4)(6) | |
| a complex number with real partre, imaginary part im.im defaults to zero. | (6) | |
| conjugate of the complex numberc | ||
| the pair | (2) | |
| x to the power y | (5) | |
| x to the power y | (5) |
Notes:
Also referred to as integer division. For operands of type
int
,the result has typeint
. For operands of typefloat
,the result has typefloat
. In general, the result is a wholeinteger, though the result’s type is not necessarilyint
. The result isalways rounded towards minus infinity:1//2
is0
,(-1)//2
is-1
,1//(-2)
is-1
, and(-1)//(-2)
is0
.Not for complex numbers. Instead convert to floats using
abs()
ifappropriate.Conversion from
float
toint
truncates, discarding thefractional part. See functionsmath.floor()
andmath.ceil()
foralternative conversions.float also accepts the strings “nan” and “inf” with an optional prefix “+”or “-” for Not a Number (NaN) and positive or negative infinity.
Python defines
pow(0, 0)
and0 ** 0
to be1
, as is common forprogramming languages.The numeric literals accepted include the digits
0
to9
or anyUnicode equivalent (code points with theNd
property).See the Unicode Standardfor a complete list of code points with the
Nd
property.
All numbers.Real
types (int
and float
) also includethe following operations:
Operation | Result |
---|---|
x truncated to | |
x rounded to n digits,rounding half to even. If n isomitted, it defaults to 0. | |
the greatest | |
the least |
For additional numeric operations see the math
and cmath
modules.
Bitwise Operations on Integer Types¶
Bitwise operations only make sense for integers. The result of bitwiseoperations is calculated as though carried out in two’s complement with aninfinite number of sign bits.
The priorities of the binary bitwise operations are all lower than the numericoperations and higher than the comparisons; the unary operation ~
has thesame priority as the other unary numeric operations (+
and -
).
This table lists the bitwise operations sorted in ascending priority:
Operation | Result | Notes |
---|---|---|
| bitwise or of x andy | (4) |
| bitwise exclusive or ofx and y | (4) |
| bitwise and of x andy | (4) |
| x shifted left by n bits | (1)(2) |
| x shifted right by n bits | (1)(3) |
| the bits of x inverted |
Notes:
Negative shift counts are illegal and cause a
ValueError
to be raised.A left shift by n bits is equivalent to multiplication by
pow(2, n)
.A right shift by n bits is equivalent to floor division by
pow(2, n)
.Performing these calculations with at least one extra sign extension bit ina finite two’s complement representation (a working bit-width of
1 + max(x.bit_length(), y.bit_length())
or more) is sufficient to get thesame result as if there were an infinite number of sign bits.
Additional Methods on Integer Types¶
The int type implements the numbers.Integral
abstract baseclass. In addition, it provides a few more methods:
- int.bit_length()¶
Return the number of bits necessary to represent an integer in binary,excluding the sign and leading zeros:
>>> n = -37>>> bin(n)'-0b100101'>>> n.bit_length()6
More precisely, if
x
is nonzero, thenx.bit_length()
is theunique positive integerk
such that2**(k-1) <= abs(x) < 2**k
.Equivalently, whenabs(x)
is small enough to have a correctlyrounded logarithm, thenk = 1 + int(log(abs(x), 2))
.Ifx
is zero, thenx.bit_length()
returns0
.Equivalent to:
def bit_length(self): s = bin(self) # binary representation: bin(-37) --> '-0b100101' s = s.lstrip('-0b') # remove leading zeros and minus sign return len(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:
def bit_count(self): return bin(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 using length bytes, and defaults to 1. An
OverflowError
is raised if the integer is not representable withthe given number of bytes.The byteorder argument determines the byte order used to represent theinteger, and defaults to
"big"
. If byteorder is"big"
, the most significant byte is at the beginning of the bytearray. If byteorder is"little"
, the most significant byte is atthe end of the byte array.The signed argument determines whether two’s complement is used torepresent the integer. If signed is
False
and a negative integer isgiven, anOverflowError
is raised. The default value for signedisFalse
.The default values can be used to conveniently turn an integer into asingle byte object:
>>> (65).to_bytes()b'A'
However, when using the default arguments, don’t tryto convert a value greater than 255 or you’ll get an
OverflowError
.Equivalent to:
def to_bytes(n, length=1, byteorder='big', signed=False): if byteorder == 'little': order = range(length) elif byteorder == 'big': order = reversed(range(length)) else: raise ValueError("byteorder must be either 'little' or 'big'") return bytes((n >> i*8) & 0xff for i in order)
Added in version 3.2.
Changed in version 3.11: Added default argument values for
length
andbyteorder
.
- classmethod int.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 argument bytes must either be a bytes-like object or aniterable producing bytes.
The byteorder argument determines the byte order used to represent theinteger, and defaults to
"big"
. If byteorder is"big"
, the most significant byte is at the beginning of the bytearray. If byteorder 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.The signed argument indicates whether two’s complement is used torepresent the integer.
Equivalent to:
def from_bytes(bytes, byteorder='big', signed=False): if byteorder == 'little': little_ordered = list(bytes) elif byteorder == 'big': little_ordered = list(reversed(bytes)) else: raise ValueError("byteorder must be either 'little' or 'big'") n = sum(b << i*8 for i, b in enumerate(little_ordered)) if signed and little_ordered and (little_ordered[-1] & 0x80): n -= 1 << 8*len(little_ordered) return n
Added in version 3.2.
Changed in version 3.11: Added default argument value for
byteorder
.
- int.as_integer_ratio()¶
Return a pair of integers whose ratio is equal to the originalinteger and has a positive denominator. The integer ratio of integers(whole numbers) is always the integer as the numerator and
1
as thedenominator.Added in version 3.8.
- int.is_integer()¶
Returns
True
. Exists for duck type compatibility with float.is_integer().Added in version 3.12.
Additional Methods on Float¶
The float type implements the numbers.Real
abstract baseclass. float also has the following additional methods.
- float.as_integer_ratio()¶
Return a pair of integers whose ratio is exactly equal to theoriginal float. The ratio is in lowest terms and has a positive denominator. Raises
OverflowError
on infinities and aValueError
onNaNs.
- float.is_integer()¶
Return
True
if the float instance is finite with integralvalue, andFalse
otherwise:>>> (-2.0).is_integer()True>>> (3.2).is_integer()False
Two methods support conversion toand from hexadecimal strings. Since Python’s floats are storedinternally as binary numbers, converting a float to or from adecimal string usually involves a small rounding error. Incontrast, hexadecimal strings allow exact representation andspecification of floating-point numbers. This can be useful whendebugging, and in numerical work.
- float.hex()¶
Return a representation of a floating-point number as a hexadecimalstring. For finite floating-point numbers, this representationwill always include a leading
0x
and a trailingp
andexponent.
- classmethod float.fromhex(s)¶
Class method to return the float represented by a hexadecimalstring s. The string s may have leading and trailingwhitespace.
Note that float.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 optional sign
may by either +
or -
, integer
and fraction
are strings of hexadecimal digits, and exponent
is a decimal integer with an optional leading sign. Case is notsignificant, and there must be at least one hexadecimal digit ineither the integer or the fraction. This syntax is similar to thesyntax specified in section 6.4.4.2 of the C99 standard, and also tothe syntax used in Java 1.5 onwards. In particular, the output offloat.hex() is usable as a hexadecimal floating-point literal inC or Java code, and hexadecimal strings produced by C’s %a
formatcharacter or Java’s Double.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 string 0x3.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 to 3740.0
gives a differenthexadecimal string representing the same number:
>>> float.hex(3740.0)'0x1.d380000000000p+11'
Hashing of numeric types¶
For numbers x
and y
, possibly of different types, it’s a requirementthat hash(x) == hash(y)
whenever x == y
(see the __hash__()
method documentation for more details). For ease of implementation andefficiency across a variety of numeric types (including int
,float
, decimal.Decimal
and fractions.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
and fractions.Fraction
, and all finite instances offloat
and decimal.Decimal
. Essentially, this function isgiven by reduction modulo P
for a fixed prime P
. The value of P
ismade available to Python as the modulus
attribute ofsys.hash_info
.
CPython implementation detail: Currently, the prime used is P = 2**31 - 1
on machines with 32-bit Clongs and P = 2**61 - 1
on machines with 64-bit C longs.
Here are the rules in detail:
If
x = m / n
is a nonnegative rational number andn
is not divisiblebyP
, definehash(x)
asm * invmod(n, P) % P
, whereinvmod(n,P)
gives the inverse ofn
moduloP
.If
x = m / n
is a nonnegative rational number andn
isdivisible byP
(butm
is not) thenn
has no inversemoduloP
and the rule above doesn’t apply; in this case definehash(x)
to be the constant valuesys.hash_info.inf
.If
x = m / n
is a negative rational number definehash(x)
as-hash(-x)
. If the resulting hash is-1
, replace it with-2
.The particular values
sys.hash_info.inf
and-sys.hash_info.inf
are used as hash values for positiveinfinity or negative infinity (respectively).For a
complex
numberz
, the hash values of the realand imaginary parts are combined by computinghash(z.real) +sys.hash_info.imag * hash(z.imag)
, reduced modulo2**sys.hash_info.width
so that it lies inrange(-2**(sys.hash_info.width - 1), 2**(sys.hash_info.width -1))
. Again, if the result is-1
, it’s replaced with-2
.
To clarify the above rules, here’s some example Python code,equivalent to the built-in hash, for computing the hash of a rationalnumber, float
, or complex
:
import sys, mathdef hash_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.) while m % P == n % P == 0: m, n = m // P, n // P if n % P == 0: hash_value = sys.hash_info.inf else: # 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) % P if m < 0: hash_value = -hash_value if hash_value == -1: hash_value = -2 return hash_valuedef hash_float(x): """Compute the hash of a float x.""" if math.isnan(x): return object.__hash__(x) elif math.isinf(x): return sys.hash_info.inf if x > 0 else -sys.hash_info.inf else: return hash_fraction(*x.as_integer_ratio())def hash_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.width M = 2**(sys.hash_info.width - 1) hash_value = (hash_value & (M - 1)) - (hash_value & M) if hash_value == -1: hash_value = -2 return hash_value
Boolean Type - bool
¶
Booleans represent truth values. The bool
type has exactly twoconstant instances: True
and False
.
The built-in function bool()
converts any value to a boolean, if thevalue can be interpreted as a truth value (see section Truth Value Testing above).
For logical operations, use the boolean operators and
,or
and not
.When applying the bitwise operators &
, |
, ^
to two booleans, theyreturn a bool equivalent to the logical operations “and”, “or”, “xor”. However,the logical operators and
, 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 of int
(see Numeric Types — int, float, complex). Inmany numeric contexts, False
and True
behave like the integers 0 and 1, respectively.However, relying on this is discouraged; explicitly convert using int()
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 provide iterablesupport:
- container.__iter__()¶
Return an iterator object. The object is required to support theiterator protocol described below. If a container supports different typesof iteration, additional methods can be provided to specifically requestiterators for those iteration types. (An example of an object supportingmultiple forms of iteration would be a tree structure which supports bothbreadth-first and depth-first traversal.) This method corresponds to the
tp_iter
slot of the type structure for Pythonobjects in the Python/C API.
The iterator objects themselves are required to support the following twomethods, which together form the iterator protocol:
- iterator.__iter__()¶
Return the iterator object itself. This is required to allow bothcontainers and iterators to be used with the
for
andin
statements. This method corresponds to thetp_iter
slot of the type structure for Pythonobjects in the Python/C API.
- iterator.__next__()¶
Return the next item from the iterator. If there are no furtheritems, raise the
StopIteration
exception. This method corresponds tothetp_iternext
slot of the type structure forPython objects in the Python/C API.
Python defines several iterator objects to support iteration over general andspecific sequence types, dictionaries, and other more specialized forms. Thespecific types are not important beyond their implementation of the iteratorprotocol.
Once an iterator’s __next__() method raisesStopIteration
, it must continue to do so on subsequent calls.Implementations that do not obey this property are deemed broken.
Generator Types¶
Python’s generators 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 in the 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 and text strings aredescribed in dedicated sections.
Common Sequence Operations¶
The operations in the following table are supported by most sequence types,both mutable and immutable. The collections.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 and t are sequences of the same type, n, i, j and k areintegers and x is an arbitrary object that meets any type and valuerestrictions imposed by s.
The in
and not in
operations have the same priorities as thecomparison operations. The +
(concatenation) and *
(repetition)operations have the same priority as the corresponding numeric operations. [3]
Operation | Result | Notes |
---|---|---|
|
| (1) |
|
| (1) |
| the concatenation of s andt | (6)(7) |
| equivalent to adding s toitself n times | (2)(7) |
| ith item of s, origin 0 | (3) |
| slice of s from i to j | (3)(4) |
| slice of s from i to jwith step k | (3)(5) |
| length of s | |
| smallest item of s | |
| largest item of s | |
| index of the first occurrenceof x in s (at or afterindex i and before index j) | (8) |
| total number of occurrences ofx in s |
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 see Comparisons 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 a StopIteration
is encountered (or when the indexdrops below zero).
Notes:
While the
in
andnot in
operations are used only for simplecontainment testing in the general case, some specialised sequences(such as str, bytes and bytearray) also usethem for subsequence testing:>>> "gg" in "eggs"True
Values of n less than
0
are treated as0
(which yields an emptysequence of the same type as s). Note that items in the sequence sare 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 = [[] for i in range(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?.
If i or j is negative, the index is relative to the end of sequence s:
len(s) + i
orlen(s) + j
is substituted. But note that-0
isstill0
.The slice of s from i to j is defined as the sequence of items with indexk such that
i <= k < j
. If i or j is greater thanlen(s)
, uselen(s)
. If i is omitted orNone
, use0
. If j is omitted orNone
, uselen(s)
. If i is greater than or equal to j, the slice isempty.The slice of s from i to j with step k is defined as the sequence ofitems with index
x = i + n*k
such that0 <= n < (j-i)/k
. In other words,the indices arei
,i+k
,i+2*k
,i+3*k
and so on, stopping whenj is reached (but never including j). When k is positive,i and j are reduced tolen(s)
if they are greater.When k is negative, i and j are reduced tolen(s) - 1
ifthey are greater. If i or j are omitted orNone
, they become“end” values (which end depends on the sign of k). Note, k cannot be zero.If k isNone
, it is treated like1
.Concatenating immutable sequences always results in a new object. Thismeans that building up a sequence by repeated concatenation will have aquadratic runtime cost in the total sequence length. To get a linearruntime cost, you must switch to one of the alternatives below:
if concatenating str objects, you can build a list and usestr.join() at the end or else write to an
io.StringIO
instance and retrieve its value when completeif concatenating bytes objects, you can similarly usebytes.join() or
io.BytesIO
, or you can do in-placeconcatenation with a bytearray object. bytearrayobjects are mutable and have an efficient overallocation mechanismif concatenating tuple objects, extend a list instead
for other types, investigate the relevant class documentation
Some sequence types (such as range) only support item sequencesthat follow specific patterns, and hence don’t support sequenceconcatenation or repetition.
index
raisesValueError
when x is not found in s.Not all implementations support passing the additional arguments i and j.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 the hash()
built-in.
This support allows immutable sequences, such as tuple instances, tobe used as dict keys and stored in set and frozensetinstances.
Attempting to hash an immutable sequence that contains unhashable values willresult in TypeError
.
Mutable Sequence Types¶
The operations in the following table are defined on mutable sequence types.The collections.abc.MutableSequence
ABC is provided to make iteasier to correctly implement these operations on custom sequence types.
In the table s is an instance of a mutable sequence type, t is anyiterable object and x is an arbitrary object that meets any typeand value restrictions imposed by s (for example, bytearray onlyaccepts integers that meet the value restriction 0 <= x <= 255
).
Operation | Result | Notes |
---|---|---|
| item i of s is replaced byx | |
| slice of s from i to jis replaced by the contents ofthe iterable t | |
| same as | |
| the elements of | (1) |
| removes the elements of | |
| appends x to the end of thesequence (same as | |
| removes all items from s(same as | (5) |
| creates a shallow copy of s(same as | (5) |
| extends s with thecontents of t (for themost part the same as | |
| updates s with its contentsrepeated n times | (6) |
| inserts x into s at theindex given by i(same as | |
| retrieves the item at i andalso removes it from s | (2) |
| removes the first item froms where | (3) |
| reverses the items of s inplace | (4) |
Notes:
If k is not equal to
1
, t must have the same length as the slice it is replacing.The optional argument i defaults to
-1
, so that by default the lastitem is removed and returned.remove()
raisesValueError
when x is not found in s.The
reverse()
method modifies the sequence in place for economy ofspace when reversing a large sequence. To remind users that it operates byside effect, it does not return the reversed sequence.clear()
andcopy()
are included for consistency with theinterfaces of mutable containers that don’t support slicing operations(such as dict and set).copy()
is not part of thecollections.abc.MutableSequence
ABC, but most concretemutable sequence classes provide it.Added in version 3.3:
clear()
andcopy()
methods.The value n is an integer, or an object implementing
__index__()
. Zero and negative values of n clearthe sequence. Items in the sequence are not copied; they are referencedmultiple times, as explained fors * n
under Common Sequence Operations.
Lists¶
Lists are mutable sequences, typically used to store collections ofhom*ogeneous items (where the precise degree of similarity will vary byapplication).
- class list([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:
[x for x in iterable]
Using the type constructor:
list()
orlist(iterable)
The constructor builds a list whose items are the same and in the sameorder as iterable’s items. iterable may be either a sequence, acontainer that supports iteration, or an iterator object. If iterableis already a list, a copy is made and returned, similar to
iterable[:]
.For example,list('abc')
returns['a', 'b', 'c']
andlist( (1, 2, 3) )
returns[1, 2, 3]
.If no argument is given, the constructor creates a new empty list,[]
.Many other operations also produce lists, including the
sorted()
built-in.Lists implement all of the common andmutable sequence operations. Lists also provide thefollowing additional method:
- sort(*, key=None, reverse=False)¶
This method sorts the list in place, using only
<
comparisonsbetween items. Exceptions are not suppressed - if any comparison operationsfail, the entire sort operation will fail (and the list will likely be leftin a partially modified state).sort() accepts two arguments that can only be passed by keyword(keyword-only arguments):
key specifies a function of one argument that is used to extract acomparison key from each list element (for example,
key=str.lower
).The key corresponding to each item in the list is calculated once andthen used for the entire sorting process. The default value ofNone
means that list items are sorted directly without calculating a separatekey value.The
functools.cmp_to_key()
utility is available to convert a 2.xstyle cmp function to a key function.reverse is a boolean value. If set to
True
, then the list elementsare sorted as if each comparison were reversed.This method modifies the sequence in place for economy of space whensorting a large sequence. To remind users that it operates by sideeffect, it does not return the sorted sequence (use
sorted()
toexplicitly request a new sorted list instance).The sort() method is guaranteed to be stable. A sort is stable if itguarantees not to change the relative order of elements that compare equal— this is helpful for sorting in multiple passes (for example, sort bydepartment, then by salary grade).
For sorting examples and a brief sorting tutorial, see Sorting Techniques.
CPython implementation detail: While a list is being sorted, the effect of attempting to mutate, or eveninspect, the list is undefined. The C implementation of Python makes thelist appear empty for the duration, and raises
ValueError
if it candetect that the list has been mutated during a sort.
Tuples¶
Tuples are immutable sequences, typically used to store collections ofheterogeneous data (such as the 2-tuples produced by the enumerate()
built-in). Tuples are also used for cases where an immutable sequence ofhom*ogeneous data is needed (such as allowing storage in a set ordict instance).
- class tuple([iterable])¶
Tuples may be constructed in a number of ways:
Using a pair of parentheses to denote the empty tuple:
()
Using a trailing comma for a singleton tuple:
a,
or(a,)
Separating items with commas:
a, b, c
or(a, b, c)
Using the tuple() built-in:
tuple()
ortuple(iterable)
The constructor builds a tuple whose items are the same and in the sameorder as iterable’s items. iterable may be either a sequence, acontainer that supports iteration, or an iterator object. If iterableis 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 the common 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¶
The range type represents an immutable sequence of numbers and iscommonly used for looping a specific number of times in for
loops.
- class range(stop)¶
- class range(start, stop[, step])
The arguments to the range constructor must be integers (either built-in
int
or any object that implements the__index__()
specialmethod). If the step argument is omitted, it defaults to1
.If the start argument is omitted, it defaults to0
.If step is zero,ValueError
is raised.For a positive step, the contents of a range
r
are determined by theformular[i] = start + step*i
wherei >= 0
andr[i] < stop
.For a negative step, the contents of the range are still determined bythe formula
r[i] = start + step*i
, but the constraints arei >= 0
andr[i] > stop
.A range object will be empty if
r[0]
does not meet the valueconstraint. Ranges do support negative indices, but these are interpretedas indexing from the end of the sequence determined by the positiveindices.Ranges containing absolute values larger than
sys.maxsize
arepermitted but some features (such aslen()
) may raiseOverflowError
.Range examples:
>>> list(range(10))[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]>>> list(range(1, 11))[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]>>> list(range(0, 30, 5))[0, 5, 10, 15, 20, 25]>>> list(range(0, 10, 3))[0, 3, 6, 9]>>> list(range(0, -10, -1))[0, -1, -2, -3, -4, -5, -6, -7, -8, -9]>>> list(range(0))[]>>> list(range(1, 0))[]
Ranges implement all of the common 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 the start parameter (or
0
if the parameter wasnot supplied)
- stop¶
The value of the stop parameter
- step¶
The value of the step parameter (or
1
if the parameter wasnot supplied)
The advantage of the range type over a regular list ortuple is that a range object will always take the same(small) amount of memory, no matter the size of the range it represents (as itonly stores the start
, stop
and step
values, calculating individualitems and subranges as needed).
Range objects implement the collections.abc.Sequence
ABC, and providefeatures such as containment tests, element index lookup, slicing andsupport for negative indices (see Sequence Types — list, tuple, range):
>>> r = range(0, 20, 2)>>> rrange(0, 20, 2)>>> 11 in rFalse>>> 10 in rTrue>>> 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 different start,stop and step attributes, for examplerange(0) == range(2, 1, 3)
or range(0, 3, 2) == range(0, 4, 2)
.)
Changed in version 3.2: Implement the Sequence ABC.Support slicing and negative indices.Test int
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 the start, stop and stepattributes.
See also
The linspace recipeshows how to implement a lazy version of range suitable for floating-pointapplications.
Text Sequence Type — str¶
Textual data in Python is handled with str objects, or strings.Strings are immutablesequences of Unicode code points. String literals arewritten in a variety of ways:
Single quotes:
'allows embedded "double" quotes'
Double quotes:
"allows embedded 'single' quotes"
Triple quoted:
'''Three single quotes'''
,"""Three double quotes"""
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") == "spam eggs"
.
See String and Bytes literals for more about the various forms of string literal,including supported escape sequences, and the r
(“raw”) prefix thatdisables most escape sequence processing.
Strings may also be created from other objects using the strconstructor.
Since there is no separate “character” type, indexing a string producesstrings of length 1. That is, for a non-empty string s, s[0] == s[0:1]
.
There is also no mutable string type, but str.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, the u
prefix isonce again permitted on string literals. It has no effect on the meaningof string literals and cannot be combined with the r
prefix.
- class str(object='')¶
- class str(object=b'', encoding='utf-8', errors='strict')
Return a string version of object. If object is notprovided, returns the empty string. Otherwise, the behavior of
str()
depends on whether encoding or errors is given, as follows.If neither encoding nor errors is given,
str(object)
returnstype(object).__str__(object)
,which is the “informal” or nicelyprintable string representation of object. For string objects, this isthe string itself. If object does not have a__str__()
method, then str() falls back to returningrepr(object)
.If at least one of encoding or errors is given, object should be abytes-like object (e.g. bytes or bytearray). Inthis case, if object is a bytes (or bytearray) object,then
str(bytes, encoding, errors)
is equivalent tobytes.decode(encoding, errors). Otherwise, the bytesobject underlying the buffer object is obtained before callingbytes.decode(). See Binary Sequence Types — bytes, bytearray, memoryview andBuffer Protocol for information on buffer objects.Passing a bytes object to str() without the encodingor errors arguments falls under the first case of returning the informalstring representation (see also the
-b
command-line option toPython). For example:>>> str(b'Zoot!')"b'Zoot!'"
For more information on the
str
class and its methods, seeText Sequence Type — str and the String Methods section below. To outputformatted strings, see the f-strings and Format String Syntaxsections. In addition, see the Text Processing Services section.
String Methods¶
Strings implement all of the common sequenceoperations, along with the additional methods described below.
Strings also support two styles of string formatting, one providing a largedegree of flexibility and customization (see str.format(),Format String Syntax and Custom 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).
The Text Processing Services section of the standard library covers a number ofother modules that provide various text related utilities (including regularexpression support in the re
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 length width. Padding is done using thespecified fillchar (default is an ASCII space). The original string isreturned if width is less than or equal to
len(s)
.
- str.count(sub[, start[, end]])¶
Return the number of non-overlapping occurrences of substring sub in therange [start, end]. Optional arguments start and end areinterpreted as in slice notation.
If sub is empty, returns the number of empty strings between characterswhich is the length of the string plus one.
- str.encode(encoding='utf-8', errors='strict')¶
Return the string encoded to bytes.
encoding defaults to
'utf-8'
;see Standard 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()
.See Error Handlers for details.For performance reasons, the value of errors is not checked for validityunless an encoding error actually occurs,Python Development Mode is enabledor a debug build is used.
Changed in version 3.1: Added support for keyword arguments.
Changed in version 3.9: The value of the errors argument is now checked in Python Development Mode andin debug mode.
- str.endswith(suffix[, start[, end]])¶
Return
True
if the string ends with the specified suffix, otherwise returnFalse
. suffix can also be a tuple of suffixes to look for. With optionalstart, test beginning at that position. With optional end, 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 every tabsize 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 substring sub is found withinthe slice
s[start:end]
. Optional arguments start and end areinterpreted as in slice notation. Return-1
if sub is not found.Note
The find() method should be used only if you need to know theposition of sub. To check if sub is a substring or not, use the
in
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'
See Format String Syntax for a description of the various formatting optionsthat can be specified in format strings.
Note
When formatting a number (
int
,float
,complex
,decimal.Decimal
and subclasses) with then
type(ex:'{:n}'.format(1234)
), the function temporarily sets theLC_CTYPE
locale to theLC_NUMERIC
locale to decodedecimal_point
andthousands_sep
fields oflocaleconv()
ifthey are non-ASCII or longer than 1 byte, and theLC_NUMERIC
locale isdifferent than theLC_CTYPE
locale. This temporary change affectsother threads.Changed in version 3.7: When formatting a number with the
n
type, the function setstemporarily theLC_CTYPE
locale to theLC_NUMERIC
locale in somecases.
- str.format_map(mapping)¶
Similar to
str.format(**mapping)
, except thatmapping
isused directly and not copied to a dict. This is usefulif for examplemapping
is a dict subclass:>>> class Default(dict):... def __missing__(self, key):... return key...>>> '{name} was born in {country}'.format_map(Default(name='Guido'))'Guido was born in country'
Added in version 3.2.
- str.index(sub[, start[, end]])¶
Like find(), but raise
ValueError
when the substring isnot found.
- str.isalnum()¶
Return
True
if all characters in the string are alphanumeric and there is atleast one character,False
otherwise. A characterc
is alphanumeric if oneof the following returnsTrue
:c.isalpha()
,c.isdecimal()
,c.isdigit()
, orc.isnumeric()
.
- str.isalpha()¶
Return
True
if all characters in the string are alphabetic and there is at leastone character,False
otherwise. Alphabetic characters are those characters definedin the Unicode character database as “Letter”, i.e., those with general categoryproperty being one of “Lm”, “Lt”, “Lu”, “Ll”, or “Lo”. Note that this is differentfrom the Alphabetic property defined in the section 4.10 ‘Letters, Alphabetic, andIdeographic’ of the Unicode Standard.
- str.isascii()¶
Return
True
if the string is empty or all characters in the string are ASCII,False
otherwise.ASCII characters have code points in the range U+0000-U+007F.Added in version 3.7.
- str.isdecimal()¶
Return
True
if all characters in the string are decimalcharacters and there is at least one character,False
otherwise. Decimal characters are those that can be used to formnumbers in base 10, e.g. U+0660, ARABIC-INDIC DIGITZERO. Formally a decimal character is a character in the UnicodeGeneral Category “Nd”.
- str.isdigit()¶
Return
True
if all characters in the string are digits and there is at least onecharacter,False
otherwise. Digits include decimal characters and digits that needspecial handling, such as the compatibility superscript digits.This covers digits which cannot be used to form numbers in base 10,like the Kharosthi numbers. Formally, a digit is a character that has theproperty value Numeric_Type=Digit or Numeric_Type=Decimal.
- str.isidentifier()¶
Return
True
if the string is a valid identifier according to the languagedefinition, section Identifiers and keywords.keyword.iskeyword()
can be used to test whether strings
is a reservedidentifier, such asdef
andclass
.Example:
>>> from keyword import iskeyword>>> 'hello'.isidentifier(), iskeyword('hello')(True, False)>>> 'def'.isidentifier(), iskeyword('def')(True, True)
- str.islower()¶
Return
True
if all cased characters [4] in the string are lowercase andthere is at least one cased character,False
otherwise.
- str.isnumeric()¶
Return
True
if all characters in the string are numericcharacters, and there is at least one character,False
otherwise. Numeric characters include digit characters, and all charactersthat have the Unicode numeric value property, e.g. U+2155,VULGAR FRACTION ONE FIFTH. Formally, numeric characters are those with the propertyvalue Numeric_Type=Digit, Numeric_Type=Decimal or Numeric_Type=Numeric.See AlsoWhat is the numeric form of the number name given below? “One hundred four thousand, one hundred three”A. 1, 414B. 14, 103C. 104, 103D. 104, 113When to Spell Out Numbers in Writing: Guide and Examples | ScribendiNumeric Numbers: What are Numeric numbers?Numerical Expression: Definition, Simplification & Examples
- str.isprintable()¶
Return
True
if all characters in the string are printable or the string isempty,False
otherwise. Nonprintable characters are those characters definedin the Unicode character database as “Other” or “Separator”, excepting theASCII space (0x20) which is considered printable. (Note that printablecharacters in this context are those which should not be escaped whenrepr()
is invoked on a string. It has no bearing on the handling ofstrings written tosys.stdout
orsys.stderr
.)
- str.isspace()¶
Return
True
if there are only whitespace characters in the string and there isat least one character,False
otherwise.A character is whitespace if in the Unicode character database(see
unicodedata
), either its general category isZs
(“Separator, space”), or its bidirectional class is one ofWS
,B
, orS
.
- str.istitle()¶
Return
True
if the string is a titlecased string and there is at least onecharacter, for example uppercase characters may only follow uncased charactersand lowercase characters only cased ones. ReturnFalse
otherwise.
- str.isupper()¶
Return
True
if all cased characters [4] in the string are uppercase andthere is at least one cased character,False
otherwise.>>> 'BANANA'.isupper()True>>> 'banana'.isupper()False>>> 'baNana'.isupper()False>>> ' '.isupper()False
- str.join(iterable)¶
Return a string which is the concatenation of the strings in iterable.A
TypeError
will be raised if there are any non-string values initerable, including bytes objects. The separator betweenelements is the string providing this method.
- str.ljust(width[, fillchar])¶
Return the string left justified in a string of length width. Padding isdone using the specified fillchar (default is an ASCII space). Theoriginal string is returned if width is less than or equal to
len(s)
.
- str.lower()¶
Return a copy of the string with all the cased characters [4] converted tolowercase.
The lowercasing algorithm used isdescribed in section 3.13 ‘Default Case Folding’ of the Unicode Standard.
- str.lstrip([chars])¶
Return a copy of the string with leading characters removed. The charsargument is a string specifying the set of characters to be removed. If omittedor
None
, the chars argument defaults to removing whitespace. The charsargument is not a prefix; rather, all combinations of its values are stripped:>>> ' spacious '.lstrip()'spacious '>>> 'www.example.com'.lstrip('cmowz.')'example.com'
See str.removeprefix() for a method that will remove a single prefixstring rather than all of a set of characters. For example:
>>> 'Arthur: three!'.lstrip('Arthur: ')'ee!'>>> 'Arthur: three!'.removeprefix('Arthur: ')'three!'
- static str.maketrans(x[, y[, z]])¶
This static method returns a translation table usable for str.translate().
If there is only one argument, it must be a dictionary mapping Unicodeordinals (integers) or characters (strings of length 1) to Unicode ordinals,strings (of arbitrary lengths) or
None
. Character keys will then beconverted to ordinals.If there are two arguments, they must be strings of equal length, and in theresulting dictionary, each character in x will be mapped to the character atthe same position in y. If there is a third argument, it must be a string,whose characters will be mapped to
None
in the result.
- str.partition(sep)¶
Split the string at the first occurrence of sep, 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 the prefix string, return
string[len(prefix):]
. Otherwise, return a copy of the originalstring:>>> 'TestHook'.removeprefix('Test')'Hook'>>> 'BaseTestCase'.removeprefix('Test')'BaseTestCase'
Added in version 3.9.
- str.removesuffix(suffix, /)¶
If the string ends with the suffix string and that suffix is not empty,return
string[:-len(suffix)]
. Otherwise, return a copy of theoriginal string:>>> 'MiscTests'.removesuffix('Tests')'Misc'>>> 'TmpDirMixin'.removesuffix('Tests')'TmpDirMixin'
Added in version 3.9.
- str.replace(old, new[, count])¶
Return a copy of the string with all occurrences of substring old replaced bynew. If the optional argument count is given, only the first countoccurrences are replaced.
- str.rfind(sub[, start[, end]])¶
Return the highest index in the string where substring sub is found, suchthat sub is contained within
s[start:end]
. Optional arguments startand end are interpreted as in slice notation. Return-1
on failure.
- str.rindex(sub[, start[, end]])¶
Like rfind() but raises
ValueError
when the substring sub is notfound.
- str.rjust(width[, fillchar])¶
Return the string right justified in a string of length width. Padding isdone using the specified fillchar (default is an ASCII space). Theoriginal string is returned if width is less than or equal to
len(s)
.
- str.rpartition(sep)¶
Split the string at the last occurrence of sep, 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, using sep as the delimiter string.If maxsplit is given, at most maxsplit splits are done, the rightmostones. If sep is not specified or
None
, any whitespace string is aseparator. Except for splitting from the right, rsplit() behaves likesplit() which is described in detail below.
- str.rstrip([chars])¶
Return a copy of the string with trailing characters removed. The charsargument is a string specifying the set of characters to be removed. If omittedor
None
, the chars argument defaults to removing whitespace. The charsargument is not a suffix; rather, all combinations of its values are stripped:>>> ' spacious '.rstrip()' spacious'>>> 'mississippi'.rstrip('ipz')'mississ'
See str.removesuffix() for a method that will remove a single suffixstring rather than all of a set of characters. For example:
>>> 'Monty Python'.rstrip(' Python')'M'>>> 'Monty Python'.removesuffix(' Python')'Monty'
- str.split(sep=None, maxsplit=-1)¶
Return a list of the words in the string, using sep as the delimiterstring. If maxsplit is given, at most maxsplit splits are done (thus,the list will have at most
maxsplit+1
elements). If maxsplit is notspecified or-1
, then there is no limit on the number of splits(all possible splits are made).If sep is given, consecutive delimiters are not grouped together and aredeemed to delimit empty strings (for example,
'1,,2'.split(',')
returns['1', '', '2']
). The sep 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']
If sep is not specified or is
None
, a different splitting algorithm isapplied: runs of consecutive whitespace are regarded as a single separator,and the result will contain no empty strings at the start or end if thestring has leading or trailing whitespace. Consequently, splitting an emptystring or a string consisting of just whitespace with aNone
separatorreturns[]
.For example:
>>> '1 2 3'.split()['1', '2', '3']>>> '1 2 3'.split(maxsplit=1)['1', '2 3']>>> ' 1 2 3 '.split()['1', '2', '3']
- 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 unless keepends is given andtrue.
This method splits on the following line boundaries. In particular, theboundaries are a superset of universal newlines.
Representation
Description
\n
Line Feed
\r
Carriage Return
\r\n
Carriage Return + Line Feed
\v
or\x0b
Line Tabulation
\f
or\x0c
Form Feed
\x1c
File Separator
\x1d
Group Separator
\x1e
Record Separator
\x85
Next Line (C1 Control Code)
\u2028
Line Separator
\u2029
Paragraph Separator
Changed in version 3.2:
\v
and\f
added to list of line boundaries.For example:
>>> 'ab c\n\nde fg\rkl\r\n'.splitlines()['ab c', '', 'de fg', 'kl']>>> 'ab c\n\nde fg\rkl\r\n'.splitlines(keepends=True)['ab c\n', '\n', 'de fg\r', 'kl\r\n']
Unlike split() when a delimiter string sep is given, thismethod returns an empty list for the empty string, and a terminal linebreak does not result in an extra line:
>>> "".splitlines()[]>>> "One line\n".splitlines()['One line']
For comparison,
split('\n')
gives:>>> ''.split('\n')['']>>> 'Two lines\n'.split('\n')['Two lines', '']
- str.startswith(prefix[, start[, end]])¶
Return
True
if string starts with the prefix, otherwise returnFalse
.prefix can also be a tuple of prefixes to look for. With optional start,test string beginning at that position. With optional end, stop comparingstring at that position.
- str.strip([chars])¶
Return a copy of the string with the leading and trailing characters removed.The chars argument is a string specifying the set of characters to be removed.If omitted or
None
, the chars argument defaults to removing whitespace.The chars 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 trailing chars 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 in chars. A similar action takes place on the trailing end.For example:
>>> comment_string = '#....... Section 3.2.1 Issue #32 .......'>>> comment_string.strip('.#! ')'Section 3.2.1 Issue #32'
- str.swapcase()¶
Return a copy of the string with uppercase characters converted to lowercase andvice versa. Note that it is not necessarily true that
s.swapcase().swapcase() == s
.
- str.title()¶
Return a titlecased version of the string where words start with an uppercasecharacter and the remaining characters are lowercase.
For example:
>>> 'Hello world'.title()'Hello World'
The algorithm uses a simple language-independent definition of a word asgroups of consecutive letters. The definition works in many contexts butit means that apostrophes in contractions and possessives form wordboundaries, which may not be the desired result:
>>> "they're bill's friends from the UK".title()"They'Re Bill'S Friends From The Uk"
The
string.capwords()
function does not have this problem, as itsplits words on spaces only.Alternatively, a workaround for apostrophes can be constructed using regularexpressions:
>>> import re>>> def titlecase(s):... return re.sub(r"[A-Za-z]+('[A-Za-z]+)?",... lambda mo: 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 a mapping orsequence. When indexed by a Unicode ordinal (an integer), thetable object can do any of the following: return a Unicode ordinal or astring, to map the character to one or more other characters; returnNone
, to delete the character from the return string; or raise aLookupError
exception, to map the character to itself.You can use str.maketrans() to create a translation map fromcharacter-to-character mappings in different formats.
See also the
codecs
module for a more flexible approach to customcharacter mappings.
- str.upper()¶
Return a copy of the string with all the cased characters [4] converted touppercase. Note that
s.upper().isupper()
might beFalse
ifs
contains uncased characters or if the Unicode category of the resultingcharacter(s) is not “Lu” (Letter, uppercase), but e.g. “Lt” (Letter,titlecase).The uppercasing algorithm used isdescribed in section 3.13 ‘Default Case Folding’ of the Unicode Standard.
- str.zfill(width)¶
Return a copy of the string left filled with ASCII
'0'
digits tomake a string of length width. A leading sign prefix ('+'
/'-'
)is handled by inserting the padding after the sign character ratherthan before. The original string is returned if width is less thanor equal tolen(s)
.For example:
>>> "42".zfill(5)'00042'>>> "-42".zfill(5)'-0042'
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 newer formatted string literals, the str.format() interface, or template 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 string formatting or interpolation operator.Given format % values
(where format is a string), %
conversionspecifications in format are replaced with zero or more elements of values.The effect is similar to using the sprintf()
in the C language.
If format requires a single argument, values may be a single non-tupleobject. [5] Otherwise, values must be a tuple with exactly the number ofitems specified by the format string, or a single mapping object (for example, adictionary).
A conversion specifier contains two or more characters and has the followingcomponents, which must occur in this order:
The
'%'
character, which marks the start of the specifier.Mapping key (optional), consisting of a parenthesised sequence of characters(for example,
(somename)
).Conversion flags (optional), which affect the result of some conversiontypes.
Minimum field width (optional). If specified as an
'*'
(asterisk), theactual width is read from the next element of the tuple in values, and theobject to convert comes after the minimum field width and optional precision.Precision (optional), given as a
'.'
(dot) followed by the precision. Ifspecified as'*'
(an asterisk), the actual precision is read from the nextelement of the tuple in values, and the value to convert comes after theprecision.Length modifier (optional).
Conversion type.
When the right argument is a dictionary (or other mapping type), then theformats in the string must include a parenthesised mapping key into thatdictionary inserted immediately after the '%'
character. The mapping keyselects the value to be formatted from the mapping. For example:
>>> print('%(language)s has %(number)03d quote types.' %... {'language': "Python", "number": 2})Python has 002 quote types.
In this case no *
specifiers may occur in a format (since they require asequential parameter list).
The conversion flag characters are:
Flag | Meaning |
---|---|
| The value conversion will use the “alternate form” (where definedbelow). |
| The conversion will be zero padded for numeric values. |
| The converted value is left adjusted (overrides the |
| (a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion. |
| A sign character ( |
A length modifier (h
, l
, or L
) may be present, but is ignored as itis not necessary for Python – so e.g. %ld
is identical to %d
.
The conversion types are:
Conversion | Meaning | Notes |
---|---|---|
| Signed integer decimal. | |
| Signed integer decimal. | |
| Signed octal value. | (1) |
| Obsolete type – it is identical to | (6) |
| Signed hexadecimal (lowercase). | (2) |
| Signed hexadecimal (uppercase). | (2) |
| Floating-point exponential format (lowercase). | (3) |
| Floating-point exponential format (uppercase). | (3) |
| Floating-point decimal format. | (3) |
| Floating-point decimal format. | (3) |
| Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Single character (accepts integer or singlecharacter string). | |
| String (converts any Python object using | (5) |
| String (converts any Python object usingstr()). | (5) |
| String (converts any Python object using | (5) |
| No argument is converted, results in a |
Notes:
The alternate form causes a leading octal specifier (
'0o'
) to beinserted before the first digit.The alternate form causes a leading
'0x'
or'0X'
(depending on whetherthe'x'
or'X'
format was used) to be inserted before the first digit.The alternate form causes the result to always contain a decimal point, even ifno digits follow it.
The precision determines the number of digits after the decimal point anddefaults to 6.
The alternate form causes the result to always contain a decimal point, andtrailing zeroes are not removed as they would otherwise be.
The precision determines the number of significant digits before and after thedecimal point and defaults to 6.
If precision is
N
, the output is truncated toN
characters.See PEP 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 are bytes andbytearray. They are supported by memoryview which usesthe buffer protocol to access the memory of otherbinary objects without needing to make a copy.
The array
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.
- class bytes([source[, encoding[, errors]]])¶
Firstly, the syntax for bytes literals is largely the same as that for stringliterals, except that a
b
prefix is added:Single quotes:
b'still allows embedded "double" quotes'
Double quotes:
b"still allows embedded 'single' quotes"
Triple quoted:
b'''3 single quotes'''
,b"""3 double quotes"""
Only ASCII characters are permitted in bytes literals (regardless of thedeclared source code encoding). Any binary values over 127 must be enteredinto bytes literals using the appropriate escape sequence.
As with string literals, bytes literals may also use a
r
prefix to disableprocessing of escape sequences. See String and Bytes literals for more about the variousforms of bytes literal, including supported escape sequences.While bytes literals and representations are based on ASCII text, bytesobjects actually behave like immutable sequences of integers, with eachvalue in the sequence restricted such that
0 <= x < 256
(attempts toviolate this restriction will triggerValueError
). This is donedeliberately to emphasise that while many binary formats include ASCII basedelements and can be usefully manipulated with some text-oriented algorithms,this is not generally the case for arbitrary binary data (blindly applyingtext processing algorithms to binary data formats that are not ASCIIcompatible will usually lead to data corruption).In addition to the literal forms, bytes objects can be created in a number ofother ways:
A zero-filled bytes object of a specified length:
bytes(10)
From an iterable of integers:
bytes(range(20))
Copying existing binary data via the buffer protocol:
bytes(obj)
Also see the bytes 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:
- classmethod fromhex(string)¶
This bytes class method returns a bytes object, decoding thegiven string object. The string must contain two hexadecimal digits perbyte, with ASCII whitespace being ignored.
>>> bytes.fromhex('2Ef0 F1f2 ')b'.\xf0\xf1\xf2'
Changed in version 3.7: bytes.fromhex() now skips all ASCII whitespace in the string,not just spaces.
A reverse conversion function exists to transform a bytes object into itshexadecimal representation.
- hex([sep[, bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the instance.
>>> b'\xf0\xf1\xf2'.hex()'f0f1f2'
If you want to make the hex string easier to read, you can specify asingle character separator sep parameter to include in the output.By default, this separator will be included between each byte.A second optional bytes_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 optional sep and bytes_per_sepparameters to insert separators between bytes in the hex output.
Since bytes objects are sequences of integers (akin to a tuple), for a bytesobject b, b[0]
will be an integer, while b[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 using list(b)
.
Bytearray Objects¶
bytearray objects are a mutable counterpart to bytesobjects.
- class bytearray([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 in Bytes and Bytearray Operations.
Also see the bytearray 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:
- classmethod fromhex(string)¶
This bytearray class method returns bytearray object, decodingthe given string object. The string must contain two hexadecimal digitsper byte, with ASCII whitespace being ignored.
>>> bytearray.fromhex('2Ef0 F1f2 ')bytearray(b'.\xf0\xf1\xf2')
Changed in version 3.7: bytearray.fromhex() now skips all ASCII whitespace in the string,not just spaces.
A reverse conversion function exists to transform a bytearray object into itshexadecimal representation.
- hex([sep[, bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the instance.
>>> bytearray(b'\xf0\xf1\xf2').hex()'f0f1f2'
Added in version 3.5.
Changed in version 3.8: Similar to bytes.hex(), bytearray.hex() now supportsoptional sep and bytes_per_sep parameters to insert separatorsbetween bytes in the hex output.
Since bytearray objects are sequences of integers (akin to a list), for abytearray object b, b[0]
will be an integer, while b[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 using list(b)
.
Bytes and Bytearray Operations¶
Both bytes and bytearray objects support the commonsequence operations. They interoperate not just with operands of the sametype, but with any bytes-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 subsequence sub inthe range [start, end]. Optional arguments start and end areinterpreted as in slice notation.
The subsequence to search for may be any bytes-like object or aninteger in the range 0 to 255.
If sub 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 the prefix string, return
bytes[len(prefix):]
. Otherwise, return a copy of the originalbinary data:>>> b'TestHook'.removeprefix(b'Test')b'Hook'>>> b'BaseTestCase'.removeprefix(b'Test')b'BaseTestCase'
The prefix may be any bytes-like object.
Note
The bytearray version of this method does not 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 the suffix string and that suffix isnot empty, return
bytes[:-len(suffix)]
. Otherwise, return a copy ofthe original binary data:>>> b'MiscTests'.removesuffix(b'Tests')b'Misc'>>> b'TmpDirMixin'.removesuffix(b'Tests')b'TmpDirMixin'
The suffix may be any bytes-like object.
Note
The bytearray version of this method does not operate in place -it always produces a new object, even if no changes were made.
Added in version 3.9.
- bytes.decode(encoding='utf-8', errors='strict')¶
- bytearray.decode(encoding='utf-8', errors='strict')¶
Return the bytes decoded to a str.
encoding defaults to
'utf-8'
;see Standard 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()
.See Error Handlers for details.For performance reasons, the value of errors is not checked for validityunless a decoding error actually occurs,Python Development Mode is enabled or a debug build is used.
Note
Passing the encoding argument to str allows decoding anybytes-like object directly, without needing to make a temporary
bytes
orbytearray
object.Changed in version 3.1: Added support for keyword arguments.
Changed in version 3.9: The value of the errors argument is now checked in Python Development Mode andin debug mode.
- bytes.endswith(suffix[, start[, end]])¶
- bytearray.endswith(suffix[, start[, end]])¶
Return
True
if the binary data ends with the specified suffix,otherwise returnFalse
. suffix can also be a tuple of suffixes tolook for. With optional start, test beginning at that position. Withoptional end, stop comparing at that position.The suffix(es) to search for may be any bytes-like object.
- bytes.find(sub[, start[, end]])¶
- bytearray.find(sub[, start[, end]])¶
Return the lowest index in the data where the subsequence sub is found,such that sub is contained in the slice
s[start:end]
. Optionalarguments start and end are interpreted as in slice notation. Return-1
if sub is not found.The subsequence to search for may be any bytes-like object or aninteger in the range 0 to 255.
Note
The find() method should be used only if you need to know theposition of sub. To check if sub is a substring or not, use the
in
operator:>>> b'Py' in b'Python'True
Changed in version 3.3: Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.index(sub[, start[, end]])¶
- bytearray.index(sub[, start[, end]])¶
Like find(), but raise
ValueError
when thesubsequence is not found.The subsequence to search for may be any bytes-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 in iterable. A
TypeError
will be raisedif there are any values in iterable that are not bytes-likeobjects, including str objects. Theseparator between elements is the contents of the bytes orbytearray object providing this method.
- static bytes.maketrans(from, to)¶
- static bytearray.maketrans(from, to)¶
This static method returns a translation table usable forbytes.translate() that will map each character in from into thecharacter at the same position in to; from and to 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 of sep, 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 any bytes-like object.
- bytes.replace(old, new[, count])¶
- bytearray.replace(old, new[, count])¶
Return a copy of the sequence with all occurrences of subsequence oldreplaced by new. If the optional argument count is given, only thefirst count occurrences are replaced.
The subsequence to search for and its replacement may be anybytes-like object.
Note
The bytearray version of this method does not 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 subsequence sub isfound, such that sub is contained within
s[start:end]
. Optionalarguments start and end are interpreted as in slice notation. Return-1
on failure.The subsequence to search for may be any bytes-like object or aninteger in the range 0 to 255.
Changed in version 3.3: Also accept an integer in the range 0 to 255 as the subsequence.
- bytes.rindex(sub[, start[, end]])¶
- bytearray.rindex(sub[, start[, end]])¶
Like rfind() but raises
ValueError
when thesubsequence sub is not found.The subsequence to search for may be any bytes-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 of sep, 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 any bytes-like object.
- bytes.startswith(prefix[, start[, end]])¶
- bytearray.startswith(prefix[, start[, end]])¶
Return
True
if the binary data starts with the specified prefix,otherwise returnFalse
. prefix can also be a tuple of prefixes tolook for. With optional start, test beginning at that position. Withoptional end, stop comparing at that position.The prefix(es) to search for may be any bytes-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 argument delete are removed, and the remaining bytes havebeen mapped through the given translation table, which must be a bytesobject of length 256.
You can use the bytes.maketrans() method to create a translationtable.
Set the table argument to
None
for translations that only deletecharacters:>>> b'read this short text'.translate(None, b'aeiou')b'rd ths shrt txt'
Changed in version 3.6: delete is now supported as a keyword argument.
The following methods on bytes and bytearray objects have default behavioursthat assume the use of ASCII compatible binary formats, but can still be usedwith arbitrary binary data by passing appropriate arguments. Note that all ofthe bytearray methods in this section do not 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 length width.Padding is done using the specified fillbyte (default is an ASCIIspace). For bytes objects, the original sequence is returned ifwidth is less than or equal to
len(s)
.Note
The bytearray version of this method does not 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 length width.Padding is done using the specified fillbyte (default is an ASCIIspace). For bytes objects, the original sequence is returned ifwidth is less than or equal to
len(s)
.Note
The bytearray version of this method does not operate in place -it always produces a new object, even if no changes were made.
- bytes.lstrip([chars])¶
- bytearray.lstrip([chars])¶
Return a copy of the sequence with specified leading bytes removed. Thechars argument is a binary sequence specifying the set of byte values tobe removed - the name refers to the fact this method is usually used withASCII characters. If omitted or
None
, the chars argument defaultsto removing ASCII whitespace. The chars argument is not a prefix;rather, all combinations of its values are stripped:>>> b' spacious '.lstrip()b'spacious '>>> b'www.example.com'.lstrip(b'cmowz.')b'example.com'
The binary sequence of byte values to remove may be anybytes-like object. See removeprefix() for a methodthat will remove a single prefix string rather than all of a set ofcharacters. For example:
>>> b'Arthur: three!'.lstrip(b'Arthur: ')b'ee!'>>> b'Arthur: three!'.removeprefix(b'Arthur: ')b'three!'
Note
The bytearray version of this method does not 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 length width.Padding is done using the specified fillbyte (default is an ASCIIspace). For bytes objects, the original sequence is returned ifwidth is less than or equal to
len(s)
.Note
The bytearray version of this method does not 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, using sepas the delimiter string. If maxsplit is given, at most maxsplit splitsare done, the rightmost ones. If sep is not specified or
None
,any subsequence consisting solely of ASCII whitespace is a separator.Except for splitting from the right, rsplit() behaves likesplit() which is described in detail below.
- bytes.rstrip([chars])¶
- bytearray.rstrip([chars])¶
Return a copy of the sequence with specified trailing bytes removed. Thechars argument is a binary sequence specifying the set of byte values tobe removed - the name refers to the fact this method is usually used withASCII characters. If omitted or
None
, the chars argument defaults toremoving ASCII whitespace. The chars argument is not a suffix; rather,all combinations of its values are stripped:>>> b' spacious '.rstrip()b' spacious'>>> b'mississippi'.rstrip(b'ipz')b'mississ'
The binary sequence of byte values to remove may be anybytes-like object. See removesuffix() for a methodthat will remove a single suffix string rather than all of a set ofcharacters. For example:
>>> b'Monty Python'.rstrip(b' Python')b'M'>>> b'Monty Python'.removesuffix(b' Python')b'Monty'
Note
The bytearray version of this method does not 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, using sepas the delimiter string. If maxsplit is given and non-negative, at mostmaxsplit splits are done (thus, the list will have at most
maxsplit+1
elements). If maxsplit is not specified or is-1
, then there is nolimit on the number of splits (all possible splits are made).If sep 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']
). The sep 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. The sep 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']
If sep is not specified or is
None
, a different splitting algorithmis applied: runs of consecutive ASCII whitespace are regarded as a singleseparator, and the result will contain no empty strings at the start orend if the sequence has leading or trailing whitespace. Consequently,splitting an empty sequence or a sequence consisting solely of ASCIIwhitespace without a specified separator returns[]
.For example:
>>> b'1 2 3'.split()[b'1', b'2', b'3']>>> b'1 2 3'.split(maxsplit=1)[b'1', b'2 3']>>> b' 1 2 3 '.split()[b'1', b'2', b'3']
- bytes.strip([chars])¶
- bytearray.strip([chars])¶
Return a copy of the sequence with specified leading and trailing bytesremoved. The chars argument is a binary sequence specifying the set ofbyte values to be removed - the name refers to the fact this method isusually used with ASCII characters. If omitted or
None
, the charsargument defaults to removing ASCII whitespace. The chars 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 does not 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 do not 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 does not 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 every tabsize 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 does not operate in place - italways produces a new object, even if no changes were made.
- bytes.isalnum()¶
- bytearray.isalnum()¶
Return
True
if all bytes in the sequence are alphabetical ASCII charactersor ASCII decimal digits and the sequence is not empty,False
otherwise.Alphabetic ASCII characters are those byte values in the sequenceb'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
. ASCII decimaldigits are those byte values in the sequenceb'0123456789'
.For example:
>>> b'ABCabc1'.isalnum()True>>> b'ABC abc1'.isalnum()False
- bytes.isalpha()¶
- bytearray.isalpha()¶
Return
True
if all bytes in the sequence are alphabetic ASCII charactersand the sequence is not empty,False
otherwise. Alphabetic ASCIIcharacters are those byte values in the sequenceb'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'
.For example:
>>> b'ABCabc'.isalpha()True>>> b'ABCabc1'.isalpha()False
- bytes.isascii()¶
- bytearray.isascii()¶
Return
True
if the sequence is empty or all bytes in the sequence are ASCII,False
otherwise.ASCII bytes are in the range 0-0x7F.Added in version 3.7.
- bytes.isdigit()¶
- bytearray.isdigit()¶
Return
True
if all bytes in the sequence are ASCII decimal digitsand the sequence is not empty,False
otherwise. ASCII decimal digits arethose byte values in the sequenceb'0123456789'
.For example:
>>> b'1234'.isdigit()True>>> b'1.23'.isdigit()False
- bytes.islower()¶
- bytearray.islower()¶
Return
True
if there is at least one lowercase ASCII characterin the sequence and no uppercase ASCII characters,False
otherwise.For example:
>>> b'hello world'.islower()True>>> b'Hello world'.islower()False
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.
- bytes.isspace()¶
- bytearray.isspace()¶
Return
True
if all bytes in the sequence are ASCII whitespace and thesequence is not empty,False
otherwise. ASCII whitespace characters arethose byte values in the sequenceb' \t\n\r\x0b\f'
(space, tab, newline,carriage return, vertical tab, form feed).
- bytes.istitle()¶
- bytearray.istitle()¶
Return
True
if the sequence is ASCII titlecase and the sequence is notempty,False
otherwise. See bytes.title() for more details on thedefinition of “titlecase”.For example:
>>> b'Hello World'.istitle()True>>> b'Hello world'.istitle()False
- bytes.isupper()¶
- bytearray.isupper()¶
Return
True
if there is at least one uppercase alphabetic ASCII characterin the sequence and no lowercase ASCII characters,False
otherwise.For example:
>>> b'HELLO WORLD'.isupper()True>>> b'Hello world'.isupper()False
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.
- bytes.lower()¶
- bytearray.lower()¶
Return a copy of the sequence with all the uppercase ASCII charactersconverted to their corresponding lowercase counterpart.
For example:
>>> b'Hello World'.lower()b'hello world'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Note
The bytearray version of this method does not 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 the universal newlines approachto splitting lines. Line breaks are not included in the resulting listunless keepends is given and true.
For example:
>>> b'ab c\n\nde fg\rkl\r\n'.splitlines()[b'ab c', b'', b'de fg', b'kl']>>> b'ab c\n\nde fg\rkl\r\n'.splitlines(keepends=True)[b'ab c\n', b'\n', b'de fg\r', b'kl\r\n']
Unlike split() when a delimiter string sep is given, thismethod returns an empty list for the empty string, and a terminal linebreak does not result in an extra line:
>>> b"".split(b'\n'), b"Two lines\n".split(b'\n')([b''], [b'Two lines', b''])>>> b"".splitlines(), b"One line\n".splitlines()([], [b'One line'])
- bytes.swapcase()¶
- bytearray.swapcase()¶
Return a copy of the sequence with all the lowercase ASCII charactersconverted to their corresponding uppercase counterpart and vice-versa.
For example:
>>> b'Hello World'.swapcase()b'hELLO wORLD'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Unlike str.swapcase(), it is always the case that
bin.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 does not operate in place - italways produces a new object, even if no changes were made.
- bytes.title()¶
- bytearray.title()¶
Return a titlecased version of the binary sequence where words start withan uppercase ASCII character and the remaining characters are lowercase.Uncased byte values are left unmodified.
For example:
>>> b'Hello world'.title()b'Hello World'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.All other byte values are uncased.The algorithm uses a simple language-independent definition of a word asgroups of consecutive letters. The definition works in many contexts butit means that apostrophes in contractions and possessives form wordboundaries, which may not be the desired result:
>>> b"they're bill's friends from the UK".title()b"They'Re Bill'S Friends From The Uk"
A workaround for apostrophes can be constructed using regular expressions:
>>> import re>>> def titlecase(s):... return re.sub(rb"[A-Za-z]+('[A-Za-z]+)?",... lambda mo: 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 does not operate in place - italways produces a new object, even if no changes were made.
- bytes.upper()¶
- bytearray.upper()¶
Return a copy of the sequence with all the lowercase ASCII charactersconverted to their corresponding uppercase counterpart.
For example:
>>> b'Hello World'.upper()b'HELLO WORLD'
Lowercase ASCII characters are those byte values in the sequence
b'abcdefghijklmnopqrstuvwxyz'
. Uppercase ASCII charactersare those byte values in the sequenceb'ABCDEFGHIJKLMNOPQRSTUVWXYZ'
.Note
The bytearray version of this method does not operate in place - italways produces a new object, even if no changes were made.
- bytes.zfill(width)¶
- bytearray.zfill(width)¶
Return a copy of the sequence left filled with ASCII
b'0'
digits tomake a sequence of length width. A leading sign prefix (b'+'
/b'-'
) is handled by inserting the padding after the sign characterrather than before. For bytes objects, the original sequence isreturned if width 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 does not 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 bytes formatting or interpolation operator.Given format % values
(where format is a bytes object), %
conversionspecifications in format are replaced with zero or more elements of values.The effect is similar to using the sprintf()
in the C language.
If format requires a single argument, values may be a single non-tupleobject. [5] Otherwise, values must be a tuple with exactly the number ofitems specified by the format bytes object, or a single mapping object (forexample, a dictionary).
A conversion specifier contains two or more characters and has the followingcomponents, which must occur in this order:
The
'%'
character, which marks the start of the specifier.Mapping key (optional), consisting of a parenthesised sequence of characters(for example,
(somename)
).Conversion flags (optional), which affect the result of some conversiontypes.
Minimum field width (optional). If specified as an
'*'
(asterisk), theactual width is read from the next element of the tuple in values, and theobject to convert comes after the minimum field width and optional precision.Precision (optional), given as a
'.'
(dot) followed by the precision. Ifspecified as'*'
(an asterisk), the actual precision is read from the nextelement of the tuple in values, and the value to convert comes after theprecision.Length modifier (optional).
Conversion type.
When the right argument is a dictionary (or other mapping type), then theformats in the bytes object must include a parenthesised mapping key into thatdictionary inserted immediately after the '%'
character. The mapping keyselects the value to be formatted from the mapping. For example:
>>> print(b'%(language)s has %(number)03d quote types.' %... {b'language': b"Python", b"number": 2})b'Python has 002 quote types.'
In this case no *
specifiers may occur in a format (since they require asequential parameter list).
The conversion flag characters are:
Flag | Meaning |
---|---|
| The value conversion will use the “alternate form” (where definedbelow). |
| The conversion will be zero padded for numeric values. |
| The converted value is left adjusted (overrides the |
| (a space) A blank should be left before a positive number (or emptystring) produced by a signed conversion. |
| A sign character ( |
A length modifier (h
, l
, or L
) may be present, but is ignored as itis not necessary for Python – so e.g. %ld
is identical to %d
.
The conversion types are:
Conversion | Meaning | Notes |
---|---|---|
| Signed integer decimal. | |
| Signed integer decimal. | |
| Signed octal value. | (1) |
| Obsolete type – it is identical to | (8) |
| Signed hexadecimal (lowercase). | (2) |
| Signed hexadecimal (uppercase). | (2) |
| Floating-point exponential format (lowercase). | (3) |
| Floating-point exponential format (uppercase). | (3) |
| Floating-point decimal format. | (3) |
| Floating-point decimal format. | (3) |
| Floating-point format. Uses lowercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Floating-point format. Uses uppercase exponentialformat if exponent is less than -4 or not less thanprecision, decimal format otherwise. | (4) |
| Single byte (accepts integer or singlebyte objects). | |
| Bytes (any object that follows thebuffer protocol or has | (5) |
|
| (6) |
| Bytes (converts any Python object using | (5) |
|
| (7) |
| No argument is converted, results in a |
Notes:
The alternate form causes a leading octal specifier (
'0o'
) to beinserted before the first digit.The alternate form causes a leading
'0x'
or'0X'
(depending on whetherthe'x'
or'X'
format was used) to be inserted before the first digit.The alternate form causes the result to always contain a decimal point, even ifno digits follow it.
The precision determines the number of digits after the decimal point anddefaults to 6.
The alternate form causes the result to always contain a decimal point, andtrailing zeroes are not removed as they would otherwise be.
The precision determines the number of significant digits before and after thedecimal point and defaults to 6.
If precision is
N
, the output is truncated toN
characters.b'%s'
is deprecated, but will not be removed during the 3.x series.b'%r'
is deprecated, but will not be removed during the 3.x series.See PEP 237.
Note
The bytearray version of this method does not 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 the buffer protocol withoutcopying.
- class memoryview(object)¶
Create a memoryview that references object. object mustsupport the buffer protocol. Built-in objects that support the bufferprotocol include bytes and bytearray.
A memoryview has the notion of an element, which is theatomic memory unit handled by the originating object. For many simpletypes such as bytes and bytearray, an element is a singlebyte, but other types such as
array.array
may have bigger elements.len(view)
is equal to the length of tolist, whichis the nested list representation of the view. Ifview.ndim = 1
,this is equal to the number of elements in the view.Changed in version 3.12: If
view.ndim == 0
,len(view)
now raisesTypeError
instead of returning 1.The itemsize attribute will give you the number ofbytes in a single element.
A memoryview supports slicing and indexing to expose its data.One-dimensional slicing will result in a subview:
>>> v = memoryview(b'abcefg')>>> v[1]98>>> v[-1]103>>> v[1:4]<memory at 0x7f3ddc9f4350>>>> bytes(v[1:4])b'bce'
If format is one of the native format specifiersfrom the
struct
module, indexing with an integer or a tuple ofintegers is also supported and returns a single element withthe correct type. One-dimensional memoryviews can be indexedwith an integer or a one-integer tuple. Multi-dimensional memoryviewscan be indexed with tuples of exactly ndim integers where ndim isthe number of dimensions. Zero-dimensional memoryviews can be indexedwith the empty tuple.Here is an example with a non-byte format:
>>> import array>>> 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>", line 1, in <module>ValueError: memoryview assignment: lvalue and rvalue have different structures>>> v[2:6] = b'spam'>>> databytearray(b'z1spam')
One-dimensional memoryviews of hashable (read-only) types with formats‘B’, ‘b’ or ‘c’ are also hashable. The hash is defined as
hash(m) == hash(m.tobytes())
:>>> v = memoryview(b'abcefg')>>> hash(v) == hash(b'abcefg')True>>> hash(v[2:4]) == hash(b'ce')True>>> hash(v[::-2]) == hash(b'abcefg'[::-2])True
Changed in version 3.3: One-dimensional memoryviews can now be sliced.One-dimensional memoryviews with formats ‘B’, ‘b’ or ‘c’ are now hashable.
Changed in version 3.4: memoryview is now registered automatically with
collections.abc.Sequence
Changed in version 3.5: memoryviews can now be indexed with tuple of integers.
memoryview has several methods:
- __eq__(exporter)¶
A memoryview and a PEP 3118 exporter are equal if their shapes areequivalent and if all corresponding values are equal when the operands’respective format codes are interpreted using
struct
syntax.For the subset of
struct
format strings currently supported bytolist(),v
andw
are equal ifv.tolist() == w.tolist()
:>>> import array>>> a = array.array('I', [1, 2, 3, 4, 5])>>> b = array.array('d', [1.0, 2.0, 3.0, 4.0, 5.0])>>> c = array.array('b', [5, 3, 1])>>> x = memoryview(a)>>> y = memoryview(b)>>> x == a == y == bTrue>>> x.tolist() == a.tolist() == y.tolist() == b.tolist()True>>> z = y[::-2]>>> z == cTrue>>> z.tolist() == c.tolist()True
If either format string is not supported by the
struct
module,then the objects will always compare as unequal (even if the formatstrings and buffer contents are identical):>>> from ctypes import BigEndianStructure, c_long>>> class BEPoint(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,
v is w
does not implyv == w
for memoryview objects.Changed in version 3.3: Previous versions compared the raw memory disregarding the item formatand the logical array structure.
- tobytes(order='C')¶
Return the data in the buffer as a bytestring. This is equivalent tocalling the bytes constructor on the memoryview.
>>> m = memoryview(b"abc")>>> m.tobytes()b'abc'>>> bytes(m)b'abc'
For non-contiguous arrays the result is equal to the flattened listrepresentation with all elements converted to bytes. tobytes()supports all format strings, including those that are not in
struct
module syntax.Added in version 3.8: order can be {‘C’, ‘F’, ‘A’}. When order 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 as order=’C’.
- hex([sep[, bytes_per_sep]])¶
Return a string object containing two hexadecimal digits for eachbyte in the buffer.
>>> m = memoryview(b"abc")>>> m.hex()'616263'
Added in version 3.5.
Changed in version 3.8: Similar to bytes.hex(), memoryview.hex() now supportsoptional sep and bytes_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]>>> import array>>> 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 in
struct
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>", line 1, in <module>TypeError: cannot modify read-only memory>>> m[0] = 43>>> mm.tolist()[43, 98, 99]
Added in version 3.8.
- release()¶
Release the underlying buffer exposed by the memoryview object. Manyobjects take special actions when a view is held on them (for example,a bytearray would temporarily forbid resizing); therefore,calling release() is handy to remove these restrictions (and free anydangling resources) as soon as possible.
After this method has been called, any further operation on the viewraises a
ValueError
(except release() itself which canbe called multiple times):>>> m = memoryview(b'abc')>>> m.release()>>> m[0]Traceback (most recent call last): File "<stdin>", line 1, in <module>ValueError: operation forbidden on released memoryview object
The context management protocol can be used for a similar effect,using the
with
statement:>>> with memoryview(b'abc') as m:... m[0]...97>>> m[0]Traceback (most recent call last): File "<stdin>", line 1, in <module>ValueError: operation forbidden on released memoryview object
Added in version 3.2.
- cast(format[, shape])¶
Cast a memoryview to a new format or shape. shape defaults to
[byte_length//new_itemsize]
, which means that the result viewwill be one-dimensional. The return value is a new memoryview, butthe buffer itself is not copied. Supported casts are 1D -> C-contiguousand C-contiguous -> 1D.The destination format is restricted to a single element native format in
struct
syntax. One of the formats must be a byte format(‘B’, ‘b’ or ‘c’). The byte length of the result must be the sameas the original length.Note that all byte lengths may depend on the operating system.Cast 1D/long to 1D/unsigned bytes:
>>> import array>>> 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:
>>> import struct>>> 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.obj is bTrue
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)
:>>> import array>>> 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:
>>> import struct>>> buf = struct.pack("d"*12, *[1.5*x for x in range(12)])>>> x = memoryview(buf)>>> y = x.cast('d', shape=[3,4])>>> y.tolist()[[0.0, 1.5, 3.0, 4.5], [6.0, 7.5, 9.0, 10.5], [12.0, 13.5, 15.0, 16.5]]>>> len(y)3>>> y.nbytes96
Added in version 3.3.
- readonly¶
A bool indicating whether the memory is read only.
- format¶
A string containing the format (in
struct
module style) for eachelement in the view. A memoryview can be created from exporters witharbitrary format strings, but some methods (e.g. tolist()) arerestricted to native single element formats.Changed in version 3.3: format
'B'
is now handled according to the struct module syntax.This means thatmemoryview(b'abc')[0] == b'abc'[0] == 97
.
- itemsize¶
The size in bytes of each element of the memoryview:
>>> import array, struct>>> m = memoryview(array.array('H', [32000, 32001, 32002]))>>> m.itemsize2>>> m[0]32000>>> struct.calcsize('H') == m.itemsizeTrue
- ndim¶
An integer indicating how many dimensions of a multi-dimensional array thememory represents.
- shape¶
A tuple of integers the length of ndim giving the shape of thememory as an N-dimensional array.
Changed in version 3.3: An empty tuple instead of
None
when ndim = 0.
- strides¶
A tuple of integers the length of ndim giving the size in bytes toaccess each element for each dimension of the array.
Changed in version 3.3: An empty tuple instead of
None
when ndim = 0.
- suboffsets¶
Used internally for PIL-style arrays. The value is informational only.
- c_contiguous¶
A bool indicating whether the memory is C-contiguous.
Added in version 3.3.
- f_contiguous¶
A bool indicating whether the memory is Fortran contiguous.
Added in version 3.3.
- contiguous¶
A bool indicating whether the memory is contiguous.
Added in version 3.3.
Set Types — set, frozenset¶
A set object is an unordered collection of distinct hashable 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-in dict, list,and tuple classes, and the collections
module.)
Like other collections, sets support x in set
, len(set)
, and for x inset
. 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 and frozenset.The set type is mutable — the contents can be changed using methodslike add()
and remove()
. Since it is mutable, it has nohash value and cannot be used as either a dictionary key or as an element ofanother set. The frozenset type is immutable and hashable —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:
- class set([iterable])¶
- class frozenset([iterable])¶
Return a new set or frozenset object whose elements are taken fromiterable. The elements of a set must be hashable. Torepresent sets of sets, the inner sets must be frozensetobjects. If iterable 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:
{c for c in 'abracadabra' if c not in 'abc'}
Use the type constructor:
set()
,set('foobar')
,set(['a', 'b', 'foo'])
Instances of set and frozenset provide the followingoperations:
- len(s)
Return the number of elements in set s (cardinality of s).
- x in s
Test x for membership in s.
- x not in s
Test x for non-membership in s.
- isdisjoint(other)¶
Return
True
if the set has no elements in common with other. Sets aredisjoint if and only if their intersection is the empty set.
- issubset(other)¶
- set <= other
Test whether every element in the set is in other.
- set < other
Test whether the set is a proper subset of other, that is,
set <= other and set != other
.
- issuperset(other)¶
- set >= other
Test whether every element in other is in the set.
- set > other
Test whether the set is a proper superset of other, that is,
set >=other and set != 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 or other but not both.
- copy()¶
Return a shallow copy of the set.
Note, the non-operator versions of union(), intersection(),difference(), symmetric_difference(), issubset(), andissuperset() methods will accept any iterable as an argument. Incontrast, their operator based counterparts require their arguments to besets. This precludes error-prone constructions like
set('abc') & 'cbs'
in favor of the more readableset('abc').intersection('cbs')
.Both set and frozenset support set to set comparisons. Twosets are equal if and only if every element of each set is contained in theother (each is a subset of the other). A set is less than another set if andonly if the first set is a proper subset of the second set (is a subset, butis not equal). A set is greater than another set if and only if the first setis a proper superset of the second set (is a superset, but is not equal).
Instances of set are compared to instances of frozensetbased on their members. For example,
set('abc') == frozenset('abc')
returnsTrue
and so doesset('abc') in set([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, so all of the following return
False
:a<b
,a==b
, ora>b
.Since sets only define partial ordering (subset relationships), the output ofthe list.sort() method is undefined for lists of sets.
Set elements, like dictionary keys, must be hashable.
Binary operations that mix set instances with frozensetreturn the type of the first operand. For example:
frozenset('ab') |set('bc')
returns an instance of frozenset.The following table lists operations available for set that do notapply to immutable instances of frozenset:
- 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 element elem to the set.
- remove(elem)¶
Remove element elem from the set. Raises
KeyError
if elem isnot contained in the set.
- discard(elem)¶
Remove element elem from the set if it is present.
- pop()¶
Remove and return an arbitrary element from the set. Raises
KeyError
if the set is empty.
- clear()¶
Remove all elements from the set.
Note, the non-operator versions of the update(),intersection_update(), difference_update(), andsymmetric_difference_update() methods will accept any iterable as anargument.
Note, the elem argument to the
__contains__()
,remove(), anddiscard() methods may be a set. To support searching for an equivalentfrozenset, a temporary one is created from elem.
Mapping Types — dict¶
A mapping object maps hashable values to arbitrary objects.Mappings are mutable objects. There is currently only one standard mappingtype, the dictionary. (For other containers see the built-inlist, set, and tuple classes, and thecollections
module.)
A dictionary’s keys are almost 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 as 1
, 1.0
, and True
)can be used interchangeably to index the same dictionary entry.
- class dict(**kwargs)¶
- class dict(mapping, **kwargs)
- class dict(iterable, **kwargs)
Return a new dictionary initialized from an optional positional argumentand a possibly empty set of keyword arguments.
Dictionaries can be created by several means:
Use a comma-separated list of
key: value
pairs within braces:{'jack': 4098, 'sjoerd': 4127}
or{4098: 'jack', 4127: 'sjoerd'}
Use a dict comprehension:
{}
,{x: x ** 2 for x in range(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 is a mapping object, a dictionaryis created with the same key-value pairs as the mapping object. Otherwise,the positional argument must be an iterable object. Each item inthe iterable must itself be an iterable with exactly two objects. Thefirst object of each item becomes a key in the new dictionary, and thesecond object the corresponding value. If a key occurs more than once, thelast value for that key becomes the corresponding value in the newdictionary.
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.
To illustrate, 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.
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 dictionary d.
- len(d)
Return the number of items in the dictionary d.
- d[key]
Return the item of d with key key. Raises a
KeyError
if key isnot in the map.If a subclass of dict defines a method
__missing__()
and keyis not present, thed[key]
operation calls that method with the key keyas 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:>>> class Counter(dict):... def __missing__(self, key):... return 0...>>> c = Counter()>>> c['red']0>>> c['red'] += 1>>> c['red']1
The example above shows part of the implementation of
collections.Counter
. A different__missing__
method is usedbycollections.defaultdict
.
- d[key] = value
Set
d[key]
to value.
- del d[key]
Remove
d[key]
from d. Raises aKeyError
if key is not in themap.
- key in d
Return
True
if d has a key key, elseFalse
.
- key not in d
Equivalent to
not key in d
.
- iter(d)
Return an iterator over the keys of the dictionary. This is a shortcutfor
iter(d.keys())
.
- clear()¶
Remove all items from the dictionary.
- copy()¶
Return a shallow copy of the dictionary.
- classmethod fromkeys(iterable, value=None, /)¶
Create a new dictionary with keys from iterable and values set to value.
fromkeys() is a class method that returns a new dictionary. valuedefaults to
None
. All of the values refer to just a single instance,so it generally doesn’t make sense for value to be a mutable objectsuch as an empty list. To get distinct values, use a dictcomprehension instead.
- get(key, default=None)¶
Return the value for key if key is in the dictionary, else default.If default is not given, it defaults to
None
, so that this methodnever raises aKeyError
.
- items()¶
Return a new view of the dictionary’s items (
(key, value)
pairs).See the documentation of view objects.
- keys()¶
Return a new view of the dictionary’s keys. See the documentationof view objects.
- pop(key[, default])¶
If key is in the dictionary, remove it and return its value, else returndefault. If default is not given and key is not in the dictionary,a
KeyError
is raised.
- popitem()¶
Remove and return a
(key, value)
pair from the dictionary.Pairs are returned in LIFO order.popitem() is useful to destructively iterate over a dictionary, asoften used in set algorithms. If the dictionary is empty, callingpopitem() raises a
KeyError
.Changed in version 3.7: LIFO order is now guaranteed. In prior versions, popitem() wouldreturn an arbitrary key/value pair.
- reversed(d)
Return a reverse iterator over the keys of the dictionary. This is ashortcut for
reversed(d.keys())
.Added in version 3.8.
- setdefault(key, default=None)¶
If key is in the dictionary, return its value. If not, insert keywith a value of default and return default. default defaults to
None
.
- update([other])¶
Update the dictionary with the key/value pairs from other, overwritingexisting keys. Return
None
.update() accepts either another dictionary object or an iterable ofkey/value pairs (as tuples or other iterables of length two). If keywordarguments are specified, the dictionary is then updated with thosekey/value pairs:
d.update(red=1, blue=2)
.
- values()¶
Return a new view of the dictionary’s values. See thedocumentation of view objects.
An equality comparison between one
dict.values()
view and anotherwill always returnFalse
. This also applies when comparingdict.values()
to itself:>>> d = {'a': 1}>>> d.values() == d.values()False
- d | other
Create a new dictionary with the merged keys and values of d andother, which must both be dictionaries. The values of other takepriority when d and other share keys.
Added in version 3.9.
- d |= other
Update the dictionary d with keys and values from other, which may beeither a mapping or an iterable of key/value pairs. Thevalues of other take priority when d and other share keys.
Added in version 3.9.
Dictionaries compare equal if and only if they have the same
(key,value)
pairs (regardless of ordering). Order comparisons (‘<’, ‘<=’, ‘>=’, ‘>’) raiseTypeError
.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}>>> del d["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.
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 a dict.
Dictionary view objects¶
The objects returned by dict.keys(), dict.values() anddict.items() are view 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) in d.items()]
.Iterating views while adding or deleting entries in the dictionary may raisea
RuntimeError
or fail to iterate over all entries.Changed in version 3.7: Dictionary order is guaranteed to be insertion order.
- x in dictview
Return
True
if x is in the underlying dictionary’s keys, values oritems (in the latter case, x should be a(key, value)
tuple).
- reversed(dictview)
Return a reverse iterator over the keys, values or items of the dictionary.The view will be iterated in reverse order of the insertion.
Changed in version 3.8: Dictionary views are now reversible.
- dictview.mapping
Return a
types.MappingProxyType
that wraps the originaldictionary to which the view refers.Added in version 3.10.
Keys views are set-like since their entries are unique and hashable.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 class collections.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>>> for val in values:... 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>>> del dishes['eggs']>>> del dishes['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’s with
statement supports the concept of a runtime contextdefined by a context manager. This is implemented using a pair of methodsthat allow user-defined classes to define a runtime context that is enteredbefore the statement body is executed and exited when the statement ends:
- contextmanager.__enter__()¶
Enter the runtime context and return either this object or another objectrelated to the runtime context. The value returned by this method is bound tothe identifier in the
as
clause ofwith
statements usingthis context manager.An example of a context manager that returns itself is a file object.File objects return themselves from __enter__() to allow
open()
to beused as the context expression in awith
statement.An example of a context manager that returns a related object is the onereturned by
decimal.localcontext()
. These managers set the activedecimal context to a copy of the original decimal context and then return thecopy. This allows changes to be made to the current decimal context in the bodyof thewith
statement without affecting code outside thewith
statement.
- contextmanager.__exit__(exc_type, exc_val, exc_tb)¶
Exit the runtime context and return a Boolean flag indicating if any exceptionthat occurred should be suppressed. If an exception occurred while executing thebody of the
with
statement, the arguments contain the exception type,value and traceback information. Otherwise, all three arguments areNone
.Returning a true value from this method will cause the
with
statementto suppress the exception and continue execution with the statement immediatelyfollowing thewith
statement. Otherwise the exception continuespropagating after this method has finished executing. Exceptions that occurduring execution of this method will replace any exception that occurred in thebody of thewith
statement.The exception passed in should never be reraised explicitly - instead, thismethod should return a false value to indicate that the method completedsuccessfully and does not want to suppress the raised exception. This allowscontext management code to easily detect whether or not an
__exit__()
method has actually failed.
Python defines several context managers to support easy thread synchronisation,prompt closure of files or other objects, and simpler manipulation of the activedecimal arithmetic context. The specific types are not treated specially beyondtheir implementation of the context management protocol. See thecontextlib
module for some examples.
Python’s generators and the contextlib.contextmanager
decoratorprovide a convenient way to implement these protocols. If a generator function isdecorated with the contextlib.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 for type annotations areGeneric Alias and Union.
Generic Alias Type¶
GenericAlias
objects are generally created bysubscripting a class. They are most often used withcontainer classes, such as list ordict. For example, list[int]
is a GenericAlias
object createdby subscripting the list
class with the argument int
.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__()
.
A GenericAlias
object acts as a proxy for a generic type,implementing parameterized generics.
For a container class, theargument(s) supplied to a subscription 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 a set inwhich all the elements are of type bytes.
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, regular expressions
can be used on both the str datatype and the bytes data type:
If
x = re.search('foo', 'foo')
,x
will be are.Match object where the return values ofx.group(0)
andx[0]
will both be of type str. We canrepresent this kind of object in type annotations with theGenericAlias
re.Match[str]
.If
y = re.search(b'bar', b'bar')
, (note theb
for bytes),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 of re.Match objects withre.Match[bytes]
.
GenericAlias
objects are instances of the classtypes.GenericAlias
, which can also be used to create GenericAlias
objects directly.
- T[X, Y, ...]
Creates a
GenericAlias
representing a typeT
parameterized by typesX, Y, and more depending on theT
used.For example, a function expecting a list containingfloat
elements:def average(values: list[float]) -> float: return sum(values) / len(values)
Another example for mapping objects, using a dict, whichis a generic type expecting two type parameters representing the key typeand the value type. In this example, the function expects a
dict
withkeys of type str and values of typeint
:def send_post_request(url: str, body: dict[str, int]) -> None: ...
The builtin functions isinstance()
and issubclass()
do not acceptGenericAlias
types for their second argument:
>>> isinstance([1, 2], list[str])Traceback (most recent call last): File "<stdin>", line 1, in <module>TypeError: isinstance() argument 2 cannot be a parameterized generic
The Python runtime does not enforce type annotations.This extends to generic types and their type parameters. When creatinga container object from a GenericAlias
, 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'>
Calling repr()
or str() 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 like dict[str][str]
:
>>> dict[str][str]Traceback (most recent call last): ...TypeError: dict[str] is not a generic class
However, such expressions are valid when type variables areused. The index must have as many elements as there are type variable itemsin the GenericAlias
object’s __args__.
>>> from typing import TypeVar>>> 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.
tuple
list
dict
set
frozenset
Special Attributes of GenericAlias
objects¶
All parameterized generics implement special read-only attributes.
- genericalias.__origin__¶
This attribute points at the non-parameterized generic class:
>>> list[int].__origin__<class 'list'>
- genericalias.__args__¶
This attribute is a tuple (possibly of length 1) of generictypes passed to the original
__class_getitem__()
of thegeneric class:>>> dict[str, list[int]].__args__(<class 'str'>, list[int])
- genericalias.__parameters__¶
This attribute is a lazily computed tuple (possibly empty) of unique typevariables found in
__args__
:>>> from typing import TypeVar>>> T = TypeVar('T')>>> list[T].__parameters__(~T,)
Note
A
GenericAlias
object withtyping.ParamSpec
parameters may nothave correct__parameters__
after substitution becausetyping.ParamSpec
is intended primarily for static type checking.
- genericalias.__unpacked__¶
A boolean that is true if the alias has been unpacked using the
*
operator (seeTypeVarTuple
).Added in version 3.11.
See also
- PEP 484 - Type Hints
Introducing Python’s framework for type annotations.
- PEP 585 - Type Hinting Generics In Standard Collections
Introducing the ability to natively parameterize standard-libraryclasses, provided they implement the special class method
__class_getitem__()
.- Generics, user-defined generics and
typing.Generic
Documentation on how to implement generic classes that can beparameterized at runtime and understood by static type-checkers.
Added in version 3.9.
Union Type¶
A union object holds the value of the |
(bitwise or) operation onmultiple type objects. These types are intendedprimarily for type annotations. The union type expressionenables cleaner type hinting syntax compared to typing.Union
.
- X | Y | ...
Defines a union object which holds types X, Y, and so forth.
X | Y
means either X or Y. It is equivalent totyping.Union[X, Y]
.For example, the following function expects an argument of typeint
orfloat
:def square(number: int | float) -> int | float: return number ** 2
Note
The
|
operand cannot be used at runtime to define unions where one ormore members is a forward reference. For example,int | "Foo"
, where"Foo"
is a reference to a class not yet defined, will fail atruntime. For unions which include forward references, present thewhole expression as a string, e.g."int | Foo"
.
- union_object == other
Union objects can be tested for equality with other union objects. Details:
Unions of unions are flattened:
(int | str) | float == int | str | float
Redundant types are removed:
int | str | int == int | str
When comparing unions, the order is ignored:
int | str == str | int
It is compatible with
typing.Union
:int | str == typing.Union[int, str]
Optional types can be spelled as a union with
None
:str | None == typing.Optional[str]
- isinstance(obj, union_object)
- issubclass(obj, union_object)
Calls to
isinstance()
andissubclass()
are also supported with aunion object:>>> isinstance("", int | str)True
However, parameterized generics inunion objects cannot be checked:
>>> isinstance(1, int | list[int]) # short-circuit evaluationTrue>>> isinstance([1], int | list[int])Traceback (most recent call last): ...TypeError: isinstance() argument 2 cannot be a parameterized generic
The user-exposed type for the union object can be accessed fromtypes.UnionType
and used for isinstance()
checks. An object cannot beinstantiated from the type:
>>> import types>>> isinstance(int | str, types.UnionType)True>>> types.UnionType()Traceback (most recent call last): File "<stdin>", line 1, 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:
>>> class M(type):... def __or__(self, other):... return "Hello"...>>> class C(metaclass=M):... pass...>>> C | int'Hello'>>> int | Cint | C
See also
PEP 604 – PEP proposing the X | 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 and name accesses a name defined in m’s symbol table.Module attributes can be assigned to. (Note that the import
statement is not, strictly speaking, an operation on a module object; importfoo
does not require a module object named foo to exist, rather it requiresan (external) definition for a module named foo 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 defines m.a
to be 1
, 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¶
See Objects, values and types and Class 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.
See Function definitions for more information.
Methods¶
Methods are functions that are called using the attribute notation. There aretwo flavors: built-in methods (such as append()
on lists) and class 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: a bound method (also calledinstance method) object. When called, it will addthe self
argumentto the argument list. Bound methods have two special read-only attributes:m.__self__
is the object on which the methodoperates, and m.__func__
isthe function implementing the method. Calling m(arg-1, arg-2, ..., arg-n)
is completely equivalent to calling m.__func__(m.__self__, arg-1, arg-2, ...,arg-n)
.
Like function 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 an AttributeError
being raised. In order to set a methodattribute, you need to explicitly set it on the underlying function object:
>>> class C:... def method(self):... pass...>>> c = C()>>> c.method.whoami = 'my name is method' # can't set on the methodTraceback (most recent call last): File "<stdin>", line 1, in <module>AttributeError: 'method' object has no attribute 'whoami'>>> c.method.__func__.whoami = 'my name is method'>>> c.method.whoami'my name is method'
See Instance 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-in compile()
functionand can be extracted from function objects through their__code__
attribute. See also the code
module.
Accessing __code__
raises an auditing eventobject.__getattr__
with arguments obj
and "__code__"
.
A code object can be executed or evaluated by passing it (instead of a sourcestring) to the exec()
or eval()
built-in functions.
See The standard type hierarchy for more information.
Type Objects¶
Type objects represent the various object types. An object’s type is accessedby the built-in function type()
. There are no special operations ontypes. The standard module types
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 as None
.
The Ellipsis Object¶
This object is commonly used by slicing (see Slicings). It supports nospecial operations. There is exactly one ellipsis object, namedEllipsis
(a built-in name). type(Ellipsis)()
produces theEllipsis
singleton.
It is written as Ellipsis
or ...
.
The NotImplemented Object¶
This object is returned from comparisons and binary operations when they areasked to operate on types they don’t support. See Comparisons for moreinformation. There is exactly one NotImplemented
object.type(NotImplemented)()
produces the singleton instance.
It is written as NotImplemented
.
Internal Objects¶
See The 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.
- object.__dict__¶
A dictionary or other mapping object used to store an object’s (writable)attributes.
- instance.__class__¶
The class to which a class instance belongs.
- class.__bases__¶
The tuple of base classes of a class object.
- definition.__name__¶
The name of the class, function, method, descriptor, orgenerator instance.
- definition.__qualname__¶
The qualified name of the class, function, method, descriptor,or generator instance.
Added in version 3.3.
- definition.__type_params__¶
The type parameters of generic classes, functions,and type aliases.
Added in version 3.12.
- class.__mro__¶
This attribute is a tuple of classes that are considered when looking forbase classes during method resolution.
- class.mro()¶
This method can be overridden by a metaclass to customize the methodresolution order for its instances. It is called at class instantiation, andits result is stored in __mro__.
- class.__subclasses__()¶
Each class keeps a list of weak references to its immediate subclasses. Thismethod returns a list of all those references still alive. The list is indefinition order. Example:
>>> int.__subclasses__()[<class 'bool'>, <enum 'IntEnum'>, <flag 'IntFlag'>, <class 're._constants._NamedIntConstant'>]
Integer string conversion length limitation¶
CPython has a global limit for converting between int
and strto mitigate denial of service attacks. This limit only applies to decimal orother non-power-of-two number bases. Hexadecimal, octal, and binary conversionsare unlimited. The limit can be configured.
The int
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 as int('1' *500_000)
can take over a second on a fast CPU.
Limiting conversion size offers a practical way to avoid CVE-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, a ValueError
is raised:
>>> import sys>>> 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>>> assert int(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:
>>> import sys>>> assert sys.int_info.default_max_str_digits == 4300, sys.int_info>>> assert sys.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 between int
and str or bytes:
int(string)
with default base 10.int(string, base)
for all bases that are not a power of 2.str(integer)
.repr(integer)
.any other string conversion to base 10, for example
f"{integer}"
,"{}".format(integer)
, orb"%d" % integer
.
The limitations do not apply to functions with a linear algorithm:
int(string, base)
with base 2, 4, 8, 16, or 32.int.from_bytes() and int.to_bytes().
Format Specification Mini-Language for hex, octal, and binary numbers.
str to
float
.str to
decimal.Decimal
.
Configuring the limit¶
Before Python starts up you can use an environment variable or an interpretercommand line flag to configure the limit:
PYTHONINTMAXSTRDIGITS
, e.g.PYTHONINTMAXSTRDIGITS=640 python3
to set the limit to 640 orPYTHONINTMAXSTRDIGITS=0 python3
to disable the limitation.-X int_max_str_digits
, e.g.python3 -X int_max_str_digits=640
sys.flags.int_max_str_digits
contains the value ofPYTHONINTMAXSTRDIGITS
or-X int_max_str_digits
.If both the env var and the-X
option are set, the-X
option takesprecedence. A value of -1 indicates that both were unset, thus a value ofsys.int_info.default_max_str_digits
was used during initialization.
From code, you can inspect the current limit and set a new one using thesesys
APIs:
sys.get_int_max_str_digits()
andsys.set_int_max_str_digits()
area getter and setter for the interpreter-wide limit. Subinterpreters havetheir own limit.
Information about the default and minimum can be found in sys.int_info
:
sys.int_info.default_max_str_digits
is the compiled-indefault limit.sys.int_info.str_digits_check_threshold
is the lowestaccepted value for the limit (other than 0 which disables it).
Added in version 3.11.
Caution
Setting a low limit can 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 to 0x
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 default sys.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:
>>> import sys>>> if hasattr(sys, "set_int_max_str_digits"):... upper_bound = 68000... lower_bound = 4004... current_limit = sys.get_int_max_str_digits()... if current_limit == 0 or current_limit > upper_bound:... sys.set_int_max_str_digits(upper_bound)... elif current_limit < lower_bound:... sys.set_int_max_str_digits(lower_bound)
If you need to disable it entirely, set it to 0
.
Footnotes