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Functional tools for creating and using iterators.
Infinite iterators:
count([n]) --> n, n+1, n+2, ...
cycle(p) --> p0, p1, ... plast, p0, p1, ...
repeat(elem [,n]) --> elem, elem, elem, ... endlessly or up to n times
Iterators terminating on the shortest input sequence:
izip(p, q, ...) --> (p[0], q[0]), (p[1], q[1]), ...
izip_longest(p, q, ...) --> (p[0], q[0]), (p[1], q[1]), ...
ifilter(pred, seq) --> elements of seq where pred(elem) is True
ifilterfalse(pred, seq) --> elements of seq where pred(elem) is False
islice(seq, [start,] stop [, step]) --> elements from
seq[start:stop:step]
imap(fun, p, q, ...) --> fun(p0, q0), fun(p1, q1), ...
starmap(fun, seq) --> fun(*seq[0]), fun(*seq[1]), ...
tee(it, n=2) --> (it1, it2 , ... itn) splits one iterator into n
chain(p, q, ...) --> p0, p1, ... plast, q0, q1, ...
takewhile(pred, seq) --> seq[0], seq[1], until pred fails
dropwhile(pred, seq) --> seq[n], seq[n+1], starting when pred fails
groupby(iterable[, keyfunc]) --> sub-iterators grouped by value of keyfunc(v)
Combinatoric generators:
product(p, q, ... [repeat=1]) --> cartesian product
permutations(p[, r])
combinations(p, r)
Data container common to multiple tee objects. tee(iterable, n=2) --> tuple of n independent iterators. Iterator wrapped to make it copyable cycle(iterable) --> cycle object
Return elements from the iterable until it is exhausted.
Then repeat the sequence indefinitely. dropwhile(predicate, iterable) --> dropwhile object
Drop items from the iterable while predicate(item) is true.
Afterwards, return every element until the iterable is exhausted. takewhile(predicate, iterable) --> takewhile object
Return successive entries from an iterable as long as the
predicate evaluates to true for each entry. islice(iterable, [start,] stop [, step]) --> islice object
Return an iterator whose next() method returns selected values from an
iterable. If start is specified, will skip all preceding elements;
otherwise, start defaults to zero. Step defaults to one. If
specified as another value, step determines how many values are
skipped between successive calls. Works like a slice() on a list
but returns an iterator. starmap(function, sequence) --> starmap object
Return an iterator whose values are returned from the function evaluated
with a argument tuple taken from the given sequence. imap(func, *iterables) --> imap object
Make an iterator that computes the function using arguments from
each of the iterables. Like map() except that it returns
an iterator instead of a list and that it stops when the shortest
iterable is exhausted instead of filling in None for shorter
iterables. chain(*iterables) --> chain object
Return a chain object whose .next() method returns elements from the
first iterable until it is exhausted, then elements from the next
iterable, until all of the iterables are exhausted. ifilter(function or None, sequence) --> ifilter object
Return those items of sequence for which function(item) is true.
If function is None, return the items that are true. ifilterfalse(function or None, sequence) --> ifilterfalse object
Return those items of sequence for which function(item) is false.
If function is None, return the items that are false. count([firstval]) --> count object
Return a count object whose .next() method returns consecutive
integers starting from zero or, if specified, from firstval. izip(iter1 [,iter2 [...]]) --> izip object
Return a izip object whose .next() method returns a tuple where
the i-th element comes from the i-th iterable argument. The .next()
method continues until the shortest iterable in the argument sequence
is exhausted and then it raises StopIteration. Works like the zip()
function but consumes less memory by returning an iterator instead of
a list. repeat(element [,times]) -> create an iterator which returns the element
for the specified number of times. If not specified, returns the element
endlessly. Returns an independent iterator. combinations(iterable, r) --> combinations object
Return successive r-length combinations of elements in the iterable.
combinations(range(4), 3) --> (0,1,2), (0,1,3), (0,2,3), (1,2,3) izip_longest(iter1 [,iter2 [...]], [fillvalue=None]) --> izip_longest object
Return an izip_longest object whose .next() method returns a tuple where
the i-th element comes from the i-th iterable argument. The .next()
method continues until the longest iterable in the argument sequence
is exhausted and then it raises StopIteration. When the shorter iterables
are exhausted, the fillvalue is substituted in their place. The fillvalue
defaults to None or can be specified by a keyword argument.
permutations(iterable[, r]) --> permutations object
Return successive r-length permutations of elements in the iterable.
permutations(range(3), 2) --> (0,1), (0,2), (1,0), (1,2), (2,0), (2,1) product(*iterables) --> product object
Cartesian product of input iterables. Equivalent to nested for-loops.
For example, product(A, B) returns the same as: ((x,y) for x in A for y in B).
The leftmost iterators are in the outermost for-loop, so the output tuples
cycle in a manner similar to an odometer (with the rightmost element changing
on every iteration).
product('ab', range(3)) --> ('a',0) ('a',1) ('a',2) ('b',0) ('b',1) ('b',2)
product((0,1), (0,1), (0,1)) --> (0,0,0) (0,0,1) (0,1,0) (0,1,1) (1,0,0) ... groupby(iterable[, keyfunc]) -> create an iterator which returns
(key, sub-iterator) grouped by each value of key(value).
chain.from_iterable(iterable) --> chain object
Alternate chain() contructor taking a single iterable argument
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