René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Support sharing cycler instances across axes","articleBody":"\u003c!--\r\nWelcome! Thanks for thinking of a way to improve Matplotlib.\r\n\r\n\r\nBefore creating a new feature request please search the issues for relevant feature requests.\r\n--\u003e\r\n\r\n### Problem\r\n\r\nIt would be useful to be able to share a single cycler instance across multiple axes, so that plotting on one axes advances the same instance on all of them.\r\n\r\n### Proposed Solution\r\n\r\n```\r\ncycler = \u003csome cycler instance\u003e\r\nax1.set_prop_cycle(cycler)\r\nax2.set_prop_cycle(cycler)\r\n```\r\nshould use the same cycler instance.  Alternatively, if this is deemed unacceptable due to backcompat breakage (even though I believe this can get a proper deprecation warning), one should at least be able to do e.g.\r\n```\r\ncycler = \u003csome cycler instance\u003e\r\nit = iter(cycler)  # or it = cycler.iter(), or whatnot\r\nax1.set_prop_cycle(it)\r\nax2.set_prop_cycle(it)\r\n```\r\nwhich has no backcompat concerns as set_prop_cycle(single_arg) currently requires single_arg to be exactly a Cycler instance.\r\n\r\n### Additional context and prior art\r\n\r\n\u003c!-- Add any other context or screenshots about the feature request here. You can also include links to examples of other programs that have something similar to your request. For example:\r\n\r\n* Another project [...] solved this by [...]\r\n--\u003e","author":{"url":"https://github.com/anntzer","@type":"Person","name":"anntzer"},"datePublished":"2021-02-08T13:46:59.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":12},"url":"https://github.com/19479/matplotlib/issues/19479"}