There are six sequence types: strings, Unicode strings, lists, tuples, buffers, and xrange objects.
Strings literals are written in single or double quotes:
'xyzzy'
, "frobozz"
. See chapter 2 of the
Python Reference Manual for more about
string literals. Unicode strings are much like strings, but are
specified in the syntax using a preceeding "u" character:
u'abc'
, u"def"
. Lists are constructed with square brackets,
separating items with commas: [a, b, c]
. Tuples are
constructed by the comma operator (not within square brackets), with
or without enclosing parentheses, but an empty tuple must have the
enclosing parentheses, e.g., a, b, c
or ()
. A single
item tuple must have a trailing comma, e.g., (d,)
.
Buffer objects are not directly supported by Python syntax, but can be created by calling the builtin function buffer(). They support concatenation and repetition, but the result is a new string object rather than a new buffer object.
Xrange objects are similar to buffers in that there is no specific
syntax to create them, but they are created using the
xrange() function. They don't support
slicing or concatenation, but do support repetition, and using
in
, not in
, min() or max() on them
is inefficient.
Most sequence types support the following operations. The "in" and "not in" operations have the same priorities as the comparison operations. The "+" and "*" operations have the same priority as the corresponding numeric operations.2.7
This table lists the sequence operations sorted in ascending priority (operations in the same box have the same priority). In the table, s and t are sequences of the same type; n, i and j are integers:
Operation | Result | Notes |
---|---|---|
x in s |
1 if an item of s is equal to x, else 0 |
|
x not in s |
0 if an item of s is
equal to x, else 1 |
|
s + t |
the concatenation of s and t | |
s * n , n * s |
n shallow copies of s concatenated | (1) |
s[i] |
i'th item of s, origin 0 | (2) |
s[i:j] |
slice of s from i to j | (2), (3) |
len(s) |
length of s | |
min(s) |
smallest item of s | |
max(s) |
largest item of s |
Notes:
0
are treated as
0
(which yields an empty sequence of the same type as
s). Note also that the copies are shallow; nested structures
are not copied. This often haunts new Python programmers; consider:
>>> lists = [[]] * 3 >>> lists [[], [], []] >>> lists[0].append(3) >>> lists [[3], [3], [3]]
What has happened is that lists
is a list containing three
copies of the list [[]]
(a one-element list containing an
empty list), but the contained list is shared by each copy. 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]]
len(s) + i
or
len(s) + j
is substituted. But note that -0
is
still 0
.
i <=
k < j
. If i or j is greater than
len(s)
, use len(s)
. If i is omitted,
use 0
. If j is omitted, use len(s)
. If
i is greater than or equal to j, the slice is empty.