René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[Bug]: Errorbar plot on log-scaled Axes sets incorrect automatic lower limits","articleBody":"### Bug summary\n\nI'm plotting some log-scale data with `ax.errorbar`. If I plot first and then call `ax.set_[x/y]scale`, autolimits work as expected. However, switching the order (first setting the scale, then plotting the errorbars) leads to incorrect autolimits.\n\n### Code for reproduction\n\n```Python\nimport numpy as np\nfrom matplotlib import pyplot as plt\n\nx = 10 ** np.array([18, 18.1, 18.2, 18.3])\ny = np.array([100, 80, 60, 30])\nyerr = np.ones_like(y) * 10\n\nfig, ax = plt.subplots()\nax.set_xscale(\"log\")\nax.set_yscale(\"log\")\nax.errorbar(x, y, yerr=yerr)\n\nfig.savefig(\"test.png\")\n```\n\n### Actual outcome\n\nBoth x and y axes have lower limits at 1. Upper limits seem correct.\n\n\u003cimg width=\"640\" height=\"480\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/5571da22-bc48-465b-bdd1-68e01fe2ddc3\" /\u003e\n\n\n### Expected outcome\n\nIf I call `set_*scale` after plotting, everything works as expected:\n\n\u003cimg width=\"640\" height=\"480\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/7e19e3b9-d012-4290-976c-d5eda8319232\" /\u003e\n\nThe same plot should be produced by the MRE script above.\n\n### Additional information\n\n_No response_\n\n### Operating system\n\nUbuntu\n\n### Matplotlib Version\n\n3.10.8, also occurred on 3.10.5\n\n### Matplotlib Backend\n\nagg\n\n### Python version\n\n3.13.7\n\n### Jupyter version\n\n_No response_\n\n### Installation\n\npip","author":{"url":"https://github.com/nj-vs-vh","@type":"Person","name":"nj-vs-vh"},"datePublished":"2026-04-07T10:09:27.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":1},"url":"https://github.com/31462/matplotlib/issues/31462"}