mirror of
https://github.com/apachecn/ailearning.git
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2020-10-19 21:08:55
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@@ -2,7 +2,7 @@
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```
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```py
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import collections
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```
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@@ -15,7 +15,7 @@ import collections
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```
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```py
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from string import punctuation
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sentence = "One, two, three, one, two, tree, I come from China."
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@@ -26,7 +26,7 @@ print words_count
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```
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```
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```py
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Counter({'two': 2, 'one': 2, 'from': 1, 'i': 1, 'tree': 1, 'three': 1, 'china': 1, 'come': 1})
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```
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@@ -37,7 +37,7 @@ Counter({'two': 2, 'one': 2, 'from': 1, 'i': 1, 'tree': 1, 'three': 1, 'china':
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In [3]:
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```
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```py
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dq = collections.deque()
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for i in xrange(10):
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@@ -60,7 +60,7 @@ for i in xrange(10):
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```
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```
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```py
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deque([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
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9 8 7 6 5 4 3 2 1 0
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deque([9, 8, 7, 6, 5, 4, 3, 2, 1, 0])
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@@ -72,7 +72,7 @@ deque([9, 8, 7, 6, 5, 4, 3, 2, 1, 0])
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In [4]:
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```
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```py
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lst = []
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dq = collections.deque()
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@@ -81,7 +81,7 @@ dq = collections.deque()
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```
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```
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```py
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100 loops, best of 3: 598 ns per loop
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100 loops, best of 3: 291 ns per loop
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@@ -93,7 +93,7 @@ dq = collections.deque()
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In [5]:
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```
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```py
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items = (
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('A', 1),
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('B', 2),
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@@ -113,7 +113,7 @@ for k, v in ordered_dict.items():
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```
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```
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```py
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Regular Dict:
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A 1
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C 3
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@@ -131,7 +131,7 @@ C 3
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In [6]:
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```
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```py
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dd = collections.defaultdict(list)
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print dd["foo"]
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@@ -146,7 +146,7 @@ print dd["foo"]
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```
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```
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```py
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[]
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0
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0.0
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