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author | Raymond Hettinger <python@rcn.com> | 2009-03-31 22:43:03 +0000 |
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committer | Raymond Hettinger <python@rcn.com> | 2009-03-31 22:43:03 +0000 |
commit | 6bc94cbbc89e21c590d8b4bf11827dc9c30ccb36 (patch) | |
tree | f26360455ee4f29ff72a58e1f2da9278f2051187 | |
parent | 354e4cbb1c5f8297631146dd119799eab987d42f (diff) | |
download | cpython-git-6bc94cbbc89e21c590d8b4bf11827dc9c30ccb36.tar.gz |
Improve examples for collections.deque()
-rw-r--r-- | Doc/library/collections.rst | 49 |
1 files changed, 24 insertions, 25 deletions
diff --git a/Doc/library/collections.rst b/Doc/library/collections.rst index 844b78a8ec..c396f176c8 100644 --- a/Doc/library/collections.rst +++ b/Doc/library/collections.rst @@ -463,6 +463,30 @@ Example: This section shows various approaches to working with deques. +Bounded length deques provide functionality similar to the ``tail`` filter +in Unix:: + + def tail(filename, n=10): + 'Return the last n lines of a file' + return deque(open(filename), n) + +Another approach to using deques is to maintain a sequence of recently +added elements by appending to the right and popping to the left:: + + def moving_average(iterable, n=3): + # moving_average([40, 30, 50, 46, 39, 44]) --> 40.0 42.0 45.0 43.0 + # http://en.wikipedia.org/wiki/Moving_average + n = float(n) + it = iter(iterable) + d = deque(itertools.islice(it, n)) + s = sum(d) + if len(d) == n: + yield s / n + for elem in it: + s += elem - d.popleft() + d.append(elem) + yield s / n + The :meth:`rotate` method provides a way to implement :class:`deque` slicing and deletion. For example, a pure python implementation of ``del d[n]`` relies on the :meth:`rotate` method to position elements to be popped:: @@ -480,31 +504,6 @@ With minor variations on that approach, it is easy to implement Forth style stack manipulations such as ``dup``, ``drop``, ``swap``, ``over``, ``pick``, ``rot``, and ``roll``. -Multi-pass data reduction algorithms can be succinctly expressed and efficiently -coded by extracting elements with multiple calls to :meth:`popleft`, applying -a reduction function, and calling :meth:`append` to add the result back to the -deque. - -For example, building a balanced binary tree of nested lists entails reducing -two adjacent nodes into one by grouping them in a list: - - >>> def maketree(iterable): - ... d = deque(iterable) - ... while len(d) > 1: - ... pair = [d.popleft(), d.popleft()] - ... d.append(pair) - ... return list(d) - ... - >>> print maketree('abcdefgh') - [[[['a', 'b'], ['c', 'd']], [['e', 'f'], ['g', 'h']]]] - -Bounded length deques provide functionality similar to the ``tail`` filter -in Unix:: - - def tail(filename, n=10): - 'Return the last n lines of a file' - return deque(open(filename), n) - :class:`defaultdict` objects ---------------------------- |