13 сент. 2010 г. · You can also use numpy.intersect1d(ar1, ar2) . It return the unique and sorted values that are in both of two arrays.

17 апр. 2015 г. · I need A intersection B = [Point(1.1,2.2),Point(3.3,4.4)] where Point is my python class containing two float variables as shown class Point.

5 окт. 2017 г. · You could convert your lists to sets, and then call intersection. A Python Set has intersection as a built-in method.

21 июн. 2011 г. · The preferred way of doing it is via set intersection: list(set(q) & set(w)) If the lists are short, a list comprehension should work.

16 июн. 2011 г. · The most efficient way is to use: result = set(list1).intersection(list2) as mentioned, but for numpy arrays, intersection1d function is more efficient.

20 апр. 2015 г. · I have a list A and list B, I want to get common elements from the two lists but want when I get the common elements they should maintain the order of List A.

24 февр. 2015 г. · The fastest way to intersect a big bunch of data is to use Python sets. Python sets are hash maps, therefore they require hashing.

10 янв. 2018 г. · Here the intersection of two lists are obtained and the common elements' indices are arranged in the list.

23 февр. 2013 г. · It changes the lookup time from linear to constant, which will make a huge difference when b is a long list. So, c = set(b) and then filtered = ...

22 мар. 2015 г. · len(set(my_list).intersection(other_list)) should on average going to be faster than the nested list comprehension.