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authorRaymond Hettinger <python@rcn.com>2009-03-31 22:52:48 (GMT)
committerRaymond Hettinger <python@rcn.com>2009-03-31 22:52:48 (GMT)
commitd2ee64d9dd62942488a2f7fff18a21b87da7f7a9 (patch)
tree857b139fdf5aa54a64607a2a5f6809710f5de100 /Doc/library/collections.rst
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Improve examples for collections.deque()
Diffstat (limited to 'Doc/library/collections.rst')
-rw-r--r--Doc/library/collections.rst48
1 files changed, 23 insertions, 25 deletions
diff --git a/Doc/library/collections.rst b/Doc/library/collections.rst
index 4e79e25..50817b0 100644
--- a/Doc/library/collections.rst
+++ b/Doc/library/collections.rst
@@ -442,6 +442,29 @@ 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
+ 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::
@@ -459,31 +482,6 @@ 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
----------------------------