Lists are mutable, and their elements are usually homogeneous and areĪ special problem is the construction of tuples containing 0 or 1 items: the (or even by attribute in the case of namedtuples). Tuples are immutable, and usually contain a heterogeneous sequence ofĮlements that are accessed via unpacking (see later in this section) or indexing Though tuples may seem similar to lists, they are often used in different Items of a tuple, however it is possible to create tuples which contain mutable It is not possible to assign to the individual
Parentheses, although often parentheses are necessary anyway (if the tuple is Tuples are interpreted correctly they may be input with or without surrounding v = (, ) > v (, )Īs you see, on output tuples are always enclosed in parentheses, so that nested t = 88888 Traceback (most recent call last):įile "", line 1, in TypeError: 'tuple' object does not support item assignment > # but they can contain mutable objects. List comprehensions can contain complex expressions and nested functions: > vec = > # create a new list with the values doubled > # filter the list to exclude negative numbers > # apply a function to all the elements > # call a method on each element > freshfruit = > # create a list of 2-tuples like (number, square) > # the tuple must be parenthesized, otherwise an error is raised > įile "", line 1 ^^^^^^^ Synta圎rror: did you forget parentheses around the comprehension target? > # flatten a list using a listcomp with two 'for' > vec =, , ] > Top of the stack, use pop() without an explicit index. Item to the top of the stack, use append(). The list methods make it very easy to use a list as a stack, where the lastĮlement added is the first element retrieved (“last-in, first-out”). For example, 3+4j < 5+7j isn’t a validĬomparison. Also, there are some types that don’t have a defined Integers can’t be compared to strings and None can’t be compared to 1 This is a design principle for all mutable data structures inĪnother thing you might notice is that not all data can be sorted orĬompared. Only modify the list have no return value printed – they return the default You might have noticed that methods like insert, remove or sort that
index ( 'banana', 4 ) # Find next banana starting at position 4 6 > fruits. Equivalent to a.Īn example that uses most of the list methods: Reverse the elements of the list in place. Sort the items of the list in place (the arguments can be used for sortĬustomization, see sorted() for their explanation). Return the number of times x appears in the list.
Pop stacks full#
The returned index is computed relative to the beginning of the full Notation and are used to limit the search to a particular subsequence of The optional arguments start and end are interpreted as in the slice Raises a ValueError if there is no such item. Return zero-based index in the list of the first item whose value is equal to x. Will see this notation frequently in the Python Library Reference.) list. Is optional, not that you should type square brackets at that position. Square brackets around the i in the method signature denote that the parameter Is specified, a.pop() removes and returns the last item in the list. Remove the item at the given position in the list, and return it. Remove the first item from the list whose value is equal to x. The list, and a.insert(len(a), x) is equivalent to a.append(x). The first argument is the index of theĮlement before which to insert, so a.insert(0, x) inserts at the front of extend ( iterable )Įxtend the list by appending all the items from the iterable. Here are all of the methods of listĪdd an item to the end of the list. The list data type has some more methods. This chapter describes some things you’ve learned about already in more detail,Īnd adds some new things as well.
0 kommentar(er)
