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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[ENH]: contour at discontinuities: add max_jump parameter","articleBody":"### Problem\r\n\r\nFollow up on #21309.\r\n\r\nThe problem is `contour` on discontinuous functions. Mpl makes the (sane) assumption that, if a quad's corners have the values 0.0 and 0.78, the level contour of 0.51 (for example) has to pass somewhere through the quad, and draws it. This is incorrect where the function is _actually_ discontinuous, but of course mpl has no way of knowing that.\r\n\r\nSee [this stackoverflow post](https://stackoverflow.com/questions/28884344/handling-cyclic-data-with-matplotlib-contour-contourf) or [here](https://github.com/nschloe/cplot/issues/31).\r\n\r\n### Proposed solution\r\n\r\nA simple solution for this would be to allow for a user-supplied float parameter, `max_jump` or `discontinuity_threshold` or something like that, defaulting to `np.inf`. If within a quad the function values differ by _more_ than this threshold, a discontinuity is assumed and the level contour is assumed _not_ to pass through the quad.\r\n\r\n### Additional context and prior art\r\n\r\n_No response_","author":{"url":"https://github.com/nschloe","@type":"Person","name":"nschloe"},"datePublished":"2021-10-13T12:15:51.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":10},"url":"https://github.com/21348/matplotlib/issues/21348"}