collections – 集合和容器类型

This module implements a subset of the corresponding CPython module, as described below. For more information, refer to the original CPython documentation: collections .

This module implements advanced collection and container types to hold/accumulate various objects.

collections. deque ( iterable , maxlen [ , flags ] )

Deques (double-ended queues) are a list-like container that support O(1) appends and pops from either side of the deque. New deques are created using the following arguments:

  • iterable must be the empty tuple, and the new deque is created empty.

  • maxlen must be specified and the deque will be bounded to this maximum length. Once the deque is full, any new items added will discard items from the opposite end.

  • 可选 flags can be 1 to check for overflow when adding items.

As well as supporting bool and len , deque objects have the following methods:

deque. append ( x )

Add x to the right side of the deque. Raises IndexError if overflow checking is enabled and there is no more room left.

deque. popleft ( )

Remove and return an item from the left side of the deque. Raises IndexError if no items are present.

collections. namedtuple ( name , fields )

This is factory function to create a new namedtuple type with a specific name and set of fields. A namedtuple is a subclass of tuple which allows to access its fields not just by numeric index, but also with an attribute access syntax using symbolic field names. Fields is a sequence of strings specifying field names. For compatibility with CPython it can also be a a string with space-separated field named (but this is less efficient). Example of use:

from collections import namedtuple
MyTuple = namedtuple("MyTuple", ("id", "name"))
t1 = MyTuple(1, "foo")
t2 = MyTuple(2, "bar")
assert == t2[1]
collections. OrderedDict ( ... )

dict type subclass which remembers and preserves the order of keys added. When ordered dict is iterated over, keys/items are returned in the order they were added:

from collections import OrderedDict
# To make benefit of ordered keys, OrderedDict should be initialized
# from sequence of (key, value) pairs.
d = OrderedDict([("z", 1), ("a", 2)])
# More items can be added as usual
d["w"] = 5
d["b"] = 3
for k, v in d.items():
    print(k, v)


z 1
a 2
w 5
b 3