On Wed, 27 Jul 2022 14:58:02 +0200, Cecil Westerhof <ce...@decebal.nl> declaimed the following:
>It is not very important, but I am just curious. > >Original I had in a program: > values = [*range(100)] > >But because it is done quite often I expected that initialising: > range_list = [*range(100)] > >and then use: > values = range_list.copy() > >Would be more efficient. So I tried: > timeit('values = [*range(100)]') > 1.6964535564184189 > >and: > timeit('new_values = values.copy()', 'values = [*range(100)]') > 0.6457642465829849 > Were these done in the same program/session? If so, the first invocation may be initializing/caching the first 100 integers (Python tends to keep some number of integers in a permanent cache to speed later access to common values). Also rather than * unpacking of the range iterator into a [] list... just... >>> list(range(100)) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] >>> ... will do it. Also, if your goal is to /remove/ and entry from the list via some index, you might consider if this is more effective than copying the list and THEN popping a value. >>> full = list(range(100)) >>> import random >>> idx = random.randint(0, len(full)) >>> idx 74 >>> trim = full[:idx] + full[idx+1:] >>> trim [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] >>> trim == full False >>> or >>> trim2 = full[:] >>> del trim2[idx] >>> trim [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] >>> The first does two partial copies skipping the item to be removed, and joins the results into a new list. The second does a full copy and DELETES the element to be removed from the copy. >>> trim3 = full[:] >>> trim3.remove(idx) >>> trim3 [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99] >>> This option works because the list is sequential integers and the index matches the values in the list (.remove() removes the first MATCHING element, so if the list can have duplicates is may not remove the one AT the index position). -- Wulfraed Dennis Lee Bieber AF6VN wlfr...@ix.netcom.com http://wlfraed.microdiversity.freeddns.org/ -- https://mail.python.org/mailman/listinfo/python-list