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c C sR | s t d n t | r* t | n t | } | j | } | | f S( s od.popitem() -> (k, v), return and remove a (key, value) pair.
Pairs are returned in LIFO order if last is true or FIFO order if false.
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If not specified, the value defaults to None.
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s class {typename}(tuple):
'{typename}({arg_list})'
__slots__ = ()
_fields = {field_names!r}
def __new__(_cls, {arg_list}):
'Create new instance of {typename}({arg_list})'
return _tuple.__new__(_cls, ({arg_list}))
@classmethod
def _make(cls, iterable, new=tuple.__new__, len=len):
'Make a new {typename} object from a sequence or iterable'
result = new(cls, iterable)
if len(result) != {num_fields:d}:
raise TypeError('Expected {num_fields:d} arguments, got %d' % len(result))
return result
def __repr__(self):
'Return a nicely formatted representation string'
return '{typename}({repr_fmt})' % self
def _asdict(self):
'Return a new OrderedDict which maps field names to their values'
return OrderedDict(zip(self._fields, self))
def _replace(_self, **kwds):
'Return a new {typename} object replacing specified fields with new values'
result = _self._make(map(kwds.pop, {field_names!r}, _self))
if kwds:
raise ValueError('Got unexpected field names: %r' % kwds.keys())
return result
def __getnewargs__(self):
'Return self as a plain tuple. Used by copy and pickle.'
return tuple(self)
{field_defs}
s {name}=%rsW {name} = _property(_itemgetter({index:d}), doc='Alias for field number {index:d}')
c B s e | e r* | j d d j } n e e | } | r e } x e | D] \ } } e d | D s e | s | s | d j
s | j d s | | k r d | | | >> Point = namedtuple('Point', ['x', 'y'])
>>> Point.__doc__ # docstring for the new class
'Point(x, y)'
>>> p = Point(11, y=22) # instantiate with positional args or keywords
>>> p[0] + p[1] # indexable like a plain tuple
33
>>> x, y = p # unpack like a regular tuple
>>> x, y
(11, 22)
>>> p.x + p.y # fields also accessable by name
33
>>> d = p._asdict() # convert to a dictionary
>>> d['x']
11
>>> Point(**d) # convert from a dictionary
Point(x=11, y=22)
>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
Point(x=100, y=22)
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Z d Z d Z RS( s Dict subclass for counting hashable items. Sometimes called a bag
or multiset. Elements are stored as dictionary keys and their counts
are stored as dictionary values.
>>> c = Counter('abcdeabcdabcaba') # count elements from a string
>>> c.most_common(3) # three most common elements
[('a', 5), ('b', 4), ('c', 3)]
>>> sorted(c) # list all unique elements
['a', 'b', 'c', 'd', 'e']
>>> ''.join(sorted(c.elements())) # list elements with repetitions
'aaaaabbbbcccdde'
>>> sum(c.values()) # total of all counts
15
>>> c['a'] # count of letter 'a'
5
>>> for elem in 'shazam': # update counts from an iterable
... c[elem] += 1 # by adding 1 to each element's count
>>> c['a'] # now there are seven 'a'
7
>>> del c['b'] # remove all 'b'
>>> c['b'] # now there are zero 'b'
0
>>> d = Counter('simsalabim') # make another counter
>>> c.update(d) # add in the second counter
>>> c['a'] # now there are nine 'a'
9
>>> c.clear() # empty the counter
>>> c
Counter()
Note: If a count is set to zero or reduced to zero, it will remain
in the counter until the entry is deleted or the counter is cleared:
>>> c = Counter('aaabbc')
>>> c['b'] -= 2 # reduce the count of 'b' by two
>>> c.most_common() # 'b' is still in, but its count is zero
[('a', 3), ('c', 1), ('b', 0)]
c K s' t t | j | j | | d S( s Create a new, empty Counter object. And if given, count elements
from an input iterable. Or, initialize the count from another mapping
of elements to their counts.
>>> c = Counter() # a new, empty counter
>>> c = Counter('gallahad') # a new counter from an iterable
>>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping
>>> c = Counter(a=4, b=2) # a new counter from keyword args
N( t superR R RY ( R RG R ( ( s# /usr/lib64/python2.7/collections.pyR s c C s d S( s1 The count of elements not in the Counter is zero.i ( ( R R ( ( s# /usr/lib64/python2.7/collections.pyt __missing__ s c C sP | d k r. t | j d t d d t St j | | j d t d S( s List the n most common elements and their counts from the most
common to the least. If n is None, then list all element counts.
>>> Counter('abcdeabcdabcaba').most_common(3)
[('a', 5), ('b', 4), ('c', 3)]
R i t reverseN( R t sortedR2 Ro R[ t _heapqt nlargest( R t n( ( s# /usr/lib64/python2.7/collections.pyt most_common s "c C s t j t t | j S( s Iterator over elements repeating each as many times as its count.
>>> c = Counter('ABCABC')
>>> sorted(c.elements())
['A', 'A', 'B', 'B', 'C', 'C']
# Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1
>>> prime_factors = Counter({2: 2, 3: 3, 17: 1})
>>> product = 1
>>> for factor in prime_factors.elements(): # loop over factors
... product *= factor # and multiply them
>>> product
1836
Note, if an element's count has been set to zero or is a negative
number, elements() will ignore it.
( t _chaint
from_iterablet _starmapt _repeatR2 ( R ( ( s# /usr/lib64/python2.7/collections.pyt elements s c C s t d d S( Ns@ Counter.fromkeys() is undefined. Use Counter(iterable) instead.( t NotImplementedError( RF RG t v( ( s# /usr/lib64/python2.7/collections.pyRH s c K s | d k r t | t rz | ra | j } xJ | j D]# \ } } | | d | | | >> c = Counter('which')
>>> c.update('witch') # add elements from another iterable
>>> d = Counter('watch')
>>> c.update(d) # add elements from another counter
>>> c['h'] # four 'h' in which, witch, and watch
4
i i N( R RI t MappingR R2 R R RY ( R RG R t self_gett elemt count( ( s# /usr/lib64/python2.7/collections.pyRY s
c K s | d k r | j } t | t r[ x\ | j D]# \ } } | | d | | | >> c = Counter('which')
>>> c.subtract('witch') # subtract elements from another iterable
>>> c.subtract(Counter('watch')) # subtract elements from another counter
>>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch
0
>>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch
-1
i i N( R R RI R R- t subtract( R RG R R R R ( ( s# /usr/lib64/python2.7/collections.pyR s
c C s
| j | S( s Return a shallow copy.( R= ( R ( ( s# /usr/lib64/python2.7/collections.pyRC - s c C s | j t | f f S( N( R= R) ( R ( ( s# /usr/lib64/python2.7/collections.pyRE 1 s c C s) | | k r% t t | j | n d S( sG Like dict.__delitem__() but does not raise KeyError for missing values.N( R R R$ ( R R ( ( s# /usr/lib64/python2.7/collections.pyR$ 4 s c C sI | s d | j j Sd j t d j | j } d | j j | f S( Ns %s()s , s %r: %rs %s({%s})( R= R> R Rv t __mod__R ( R R- ( ( s# /usr/lib64/python2.7/collections.pyRA 9 s !c C s t | t s t St } xA | j D]3 \ } } | | | } | d k r) | | | >> Counter('abbb') + Counter('bcc')
Counter({'b': 4, 'c': 2, 'a': 1})
i ( RI R t NotImplementedR- ( R RN R6 R R t newcount( ( s# /usr/lib64/python2.7/collections.pyt __add__H s c C s t | t s t St } xA | j D]3 \ } } | | | } | d k r) | | | >> Counter('abbbc') - Counter('bccd')
Counter({'b': 2, 'a': 1})
i ( RI R R R- ( R RN R6 R R R ( ( s# /usr/lib64/python2.7/collections.pyt __sub__[ s c C s t | t s t St } xU | j D]G \ } } | | } | | k rQ | n | } | d k r) | | | >> Counter('abbb') | Counter('bcc')
Counter({'b': 3, 'c': 2, 'a': 1})
i ( RI R R R- ( R RN R6 R R t other_countR ( ( s# /usr/lib64/python2.7/collections.pyt __or__n s
c C sx t | t s t St } xU | j D]G \ } } | | } | | k rQ | n | } | d k r) | | | >> Counter('abbb') & Counter('bcc')
Counter({'b': 1})
i ( RI R R R- ( R RN R6 R R R R ( ( s# /usr/lib64/python2.7/collections.pyt __and__ s
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