Generally, the iterable needs to already be sorted on Specified or is None, key defaults to an identity function and returns ![]() The key is a function computing a key value for each element. Make an iterator that returns consecutive keys and groups from the iterable. R-length tuples, in sorted order, with repeated elementsĪA AB AC AD BA BB BC BD CA CB CC CD DA DB DC DDĭef dropwhile ( predicate, iterable ): # dropwhile(lambda x: x 6 4 1 iterable = iter ( iterable ) for x in iterable : if not predicate ( x ): yield x break for x in iterable : yield x itertools. R-length tuples, in sorted order, no repeated elements R-length tuples, all possible orderings, no repeated elements Izip_longest('ABCD', 'xy', fillvalue='-') -> Ax By C- D-Ĭartesian product, equivalent to a nested for-loop It1, it2, … itn splits one iterator into n Ifilter(lambda x: x%2, range(10)) -> 1 3 5 7 9Įlements of seq where pred(elem) is false Sub-iterators grouped by value of keyfunc(v) Iterators terminating on the shortest input sequence:Ĭompress('ABCDEF', ) -> A C E F Sum(imap(operator.mul, vector1, vector2)).Įlem, elem, elem, … endlessly or up to n times Operator can be mapped across two vectors to form an efficient dot-product: These tools and their built-in counterparts also work well with the high-speedįunctions in the operator module. ![]() The same effect can be achieved in Pythonīy combining imap() and count() to form imap(f, count()). ![]() Together, they form an “iteratorĪlgebra” making it possible to construct specialized tools succinctly andįor instance, SML provides a tabulation tool: tabulate(f) which produces a The module standardizes a core set of fast, memory efficient tools that are This module implements a number of iterator building blocks inspiredīy constructs from APL, Haskell, and SML.
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