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{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[ENH]: Be able to ignore specific plots when autoscaling axes","articleBody":"### Problem\n\nWhen building up scatter or error bar plots of data, I frequently want to overlay a fitting function or other set of lines/bands. The latter need to extend for the full width/height of the Axes. If I'm using autoscaling, this doesn't happen because the scale adjusts to leave a margin around the new plots.\n\nCurrently, to avoid this, I need to do something like:\n\n```\nxlim, ylim = ax.get_xlim(), ax.get_ylim()\nplt.plot(...) # Add lines\nax.set_xlim(xlim)\nax.set_ylim(ylim)\n```\n\nThis means I am constrained in how I order my code—I have to have all my data contributing to autoscaling present before I add any fit lines. (This gets more complicated when I am working with multiple Axes with `sharex` or `sharey`.)\n\nExample of what I might be looking for:\n\n![Image](https://github.com/user-attachments/assets/5bb4c3f3-55d1-4e8d-91c6-81231055c20f)\n\nExample of what I currently get without the workaround above:\n\n![Image](https://github.com/user-attachments/assets/4fef2d50-0369-4bef-9a49-b59e3afb8ee6)\n\n### Proposed solution\n\nIdeally, have a new keyword argument on `plot` and friends, something like `use_in_autoscale: bool = True`. When `True`, the object generated by `plot` contributes to the axis limit computations as currently; when `False`, then it is ignored in these computations.","author":{"url":"https://github.com/edbennett","@type":"Person","name":"edbennett"},"datePublished":"2025-02-17T10:31:59.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":6},"url":"https://github.com/29634/matplotlib/issues/29634"}