Note: this function no longer exists in python3.x from itertools import izip_longestįor item in izip_longest(, ,fillvalue='-'):Ĭreate an iterator to generate a tuple representing the Cartesian product of items in item1, item2, etc. Izip_longest is similar to izip, but the iteration process will continue until all the elements of the iterable objects are iterated x, you can directly use zip from itertools import izipįor item in izip(, ): Note: This function no longer exists in python 3. It is used to take the element at the corresponding position of multiple iteratible objects as a tuple, and "compose" all tuples into an iterator, and return you can use map directly from itertools import imap Note: this function no longer exists in python3.x. It calls a function whose value is on the input iterator and returns the result It is similar to the built-in function map(), except that the former stops after any input iterator ends (instead of inserting a None value to complete all inputs) Itertools.imap(func, iter1, iter2, iter3. #Here, count() is the first function of the article, which is used to generate an infinite sequence Iterable is an iterable object, start is the start index, default is 0, stop is the end index, step is the step size, default is 1, start and step are optional from itertools import islice,count No one answers any questions in your study? Xiaobian created a Python Learning exchange group: 711312441įind small partners with similar interests and help each other,There are also good video learning tutorials and PDF e-book! key: a function whose return value is used as the grouping standard.Returns an iterator that generates a set of values grouped by key This function is just opposite to ifilter If predicate is None, all items in iterable whose False is calculated will be returned. Itertools.ifilterfalse(predicate, iterable)Ĭreate an iterator to generate only items in iterable whose predicate(item) is False. If predicate is None, all the items in iterable calculated to be True will be returned List(takewhile(lambda x: x < 5, ))Ĭreate an iterator to generate only the items whose predicate(item) is True in iterable. If predict returns False, stop the iteration immediately from itertools import takewhile #Starting from 6, the condition of x < 5 is not met, so all items after 6 and 6 need to be returnedĬreate an iterator. If predicate returns False, the items in the iterable and all subsequent items will be generated, that is, the first item that does not meet the condition and all subsequent items will be returned As long as the function predicate(item) is True, discard the items in the iterable. # 2 is also true, and the corresponding value of'd 'is null and falseĬreate an iterator. #selectors: When it is true, the data corresponding to the data bit is reserved when it is false or empty, it is removed from itertools import compressįor x in compress(,): When an element of selectors is true, the element at the corresponding position of data will be retained, otherwise, it will be removed Receive an iterable object as a parameter and return an iterator from itertools import chainĪ = ,] Parameters are multiple iterative objects, as if they are connected by chains import itertoolsįor x in itertools.chain(,): Take multiple iterators as parameters, but only return a single iterator, which generates the contents of all parameter iterators as if they were from a single sequence
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