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Tweak column alignment in collections docs.
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1 changed files with 26 additions and 33 deletions
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@ -171,10 +171,10 @@ For example::
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Elements are counted from an *iterable* or initialized from another
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*mapping* (or counter)::
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>>> c = Counter() # a new, empty counter
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>>> c = Counter('gallahad') # a new counter from an iterable
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>>> c = Counter({'red': 4, 'blue': 2}) # a new counter from a mapping
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>>> c = Counter(spam=8, eggs=1) # a new counter from keyword args
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>>> c = Counter() # a new, empty counter
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>>> c = Counter('gallahad') # a new counter from an iterable
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>>> c = Counter({'red': 4, 'blue': 2}) # a new counter from a mapping
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>>> c = Counter(cats=4, dogs=8) # a new counter from keyword args
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Counter objects have a dictionary interface except that they return a zero
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count for missing items instead of raising a :exc:`KeyError`::
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@ -207,10 +207,10 @@ For example::
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.. method:: most_common([n])
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Return a list of the *n* most common elements and their counts from
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the most common to the least. If *n* is not specified or is ``None``,
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return a list of all element counts in decreasing order of frequency.
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Elements with equal counts are ordered arbitrarily::
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Return a list of the *n* most common elements and their counts from the
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most common to the least. If *n* not specified, :func:`most_common`
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returns *all* elements in the counter. Elements with equal counts are
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ordered arbitrarily::
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>>> Counter('abracadabra').most_common(3)
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[('a', 5), ('r', 2), ('b', 2)]
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@ -220,33 +220,26 @@ For example::
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.. method:: fromkeys(iterable)
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This class method is not implemented for :class:`Counter` objects.
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This class method is not implemented for :class:`Counter` objects.
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.. method:: update([iterable-or-mapping])
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Elements are counted from an *iterable* or added-in from another
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*mapping* (or counter). Like :meth:`dict.update` but adds-in counts
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instead of replacing them. Also, the *iterable* is expected to be a
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sequence of elements, not a sequence of ``(key, value)`` pairs::
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>>> c = Counter('which')
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>>> c.update('witch') # add elements from another iterable
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>>> d = Counter('watch')
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>>> c.update(d) # add elements from another counter
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>>> c['h'] # four 'h' in which, witch, and watch
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4
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Elements are counted from an *iterable* or added-in from another
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*mapping* (or counter). Like :meth:`dict.update` but adds counts
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instead of replacing them. Also, the *iterable* is expected to be a
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sequence of elements, not a sequence of ``(key, value)`` pairs.
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Common patterns for working with :class:`Counter` objects::
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sum(c.values()) # total of all counts
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c.clear() # reset all counts
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list(c) # list unique elements
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set(c) # convert to a set
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dict(c) # convert to a regular dictionary
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c.items() # convert to a list of (elem, cnt) pairs
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Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs
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c.most_common()[:-n:-1] # n least common elements
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c += Counter() # remove zero and negative counts
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sum(c.values()) # total of all counts
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c.clear() # reset all counts
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list(c) # list unique elements
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set(c) # convert to a set
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dict(c) # convert to a regular dictionary
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c.items() # convert to a list of (elem, cnt) pairs
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Counter(dict(list_of_pairs)) # convert from a list of (elem, cnt) pairs
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c.most_common()[:-n:-1] # n least common elements
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c += Counter() # remove zero and negative counts
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Several multiset mathematical operations are provided for combining
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:class:`Counter` objects. Multisets are like regular sets but are allowed to
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@ -258,13 +251,13 @@ counts less than one::
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>>> c = Counter(a=3, b=1)
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>>> d = Counter(a=1, b=2)
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>>> c + d # add two counters together: c[x] + d[x]
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>>> c + d # add two counters together: c[x] + d[x]
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Counter({'a': 4, 'b': 3})
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>>> c - d # subtract (keeping only positive counts)
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>>> c - d # subtract (keeping only positive counts)
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Counter({'a': 2})
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>>> c & d # intersection: min(c[x], d[x])
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>>> c & d # intersection: min(c[x], d[x])
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Counter({'a': 1, 'b': 1})
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>>> c | d # union: max(c[x], d[x])
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>>> c | d # union: max(c[x], d[x])
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Counter({'a': 3, 'b': 2})
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.. seealso::
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