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Title: [Bug]: `tight` and `constrained` layouts honouring invisible parts of `floating_axis` · Issue #31622 · matplotlib/matplotlib · GitHub

Open Graph Title: [Bug]: `tight` and `constrained` layouts honouring invisible parts of `floating_axis` · Issue #31622 · matplotlib/matplotlib

X Title: [Bug]: `tight` and `constrained` layouts honouring invisible parts of `floating_axis` · Issue #31622 · matplotlib/matplotlib

Description: Bug summary Using the tight or constrained layouts will not make the figure any smaller than the full size of a floating axis, even accounting for parts of the floating axis that are outside the visible plot area. This can actually incre...

Open Graph Description: Bug summary Using the tight or constrained layouts will not make the figure any smaller than the full size of a floating axis, even accounting for parts of the floating axis that are outside the vi...

X Description: Bug summary Using the tight or constrained layouts will not make the figure any smaller than the full size of a floating axis, even accounting for parts of the floating axis that are outside the vi...

Opengraph URL: https://github.com/matplotlib/matplotlib/issues/31622

X: @github

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Domain: github.com


Hey, it has json ld scripts:
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[Bug]: `tight` and `constrained` layouts honouring invisible parts of `floating_axis`","articleBody":"### Bug summary\n\nUsing the `tight` or `constrained` layouts will not make the figure any smaller than the full size of a floating axis, even accounting for parts of the floating axis that are outside the visible plot area. This can actually _increase_ the figure size compared to the 'default' layout (i.e. `None`).\n\n### Code for reproduction\n\n```Python\nimport matplotlib.pyplot as plt\nimport numpy as np\n\nfrom matplotlib.projections import PolarAxes\nfrom matplotlib.transforms import Affine2D\nfrom mpl_toolkits.axisartist import GridHelperCurveLinear, HostAxes\n\n\ndef polar_plot(fig):\n    # Adapted from https://matplotlib.org/stable/gallery/axisartist/demo_floating_axis.html\n    tr = (\n        Affine2D().scale(np.pi / 180., 1.) +\n        PolarAxes.PolarTransform(apply_theta_transforms=False)\n    )\n    grid_helper = GridHelperCurveLinear(tr)\n    ax1 = fig.add_subplot(axes_class=HostAxes, grid_helper=grid_helper)\n    ax1.axis[\"lon\"] = ax1.new_floating_axis(1, 9)\n\n    ax1.set_xlim(-5, 12)\n    ax1.set_ylim(-5, 10)\n    ax1.grid(True)\n    for key, val in ax1.axis.items():\n        val.major_ticklabels.set_visible(False)\n\n\ndef main():\n    for layout in [None, \"tight\", \"constrained\"]:\n        my_fig = plt.figure(figsize=(5, 5), layout=layout)\n        polar_plot(my_fig)\n        layout_str = layout if layout is not None else \"default\"\n        plt.title(f\"Layout: {layout_str}\")\n        plt.savefig(f\"floating_axis_{layout_str}.png\")\n\n\nif __name__ == \"__main__\":\n    main()\n```\n\n### Actual outcome\n\n\u003cimg width=\"200\" height=\"200\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/30bb8c67-7f1c-46e7-bc90-ade84cd60f22\" /\u003e\n\u003cimg width=\"200\" height=\"200\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/593f2fd1-0738-4102-9a27-76dc60626724\" /\u003e\n\u003cimg width=\"200\" height=\"200\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/19a61152-f595-4864-bf5f-c4ab6f1613c6\" /\u003e\n\n### Expected outcome\n\n\u003cimg width=\"500\" height=\"500\" alt=\"Image\" src=\"https://github.com/user-attachments/assets/fae6707d-bff1-42a1-86fb-c39955cc4d18\" /\u003e\n\n### Additional information\n\nI am assuming this is an unintended bug because the default `None` layout does not size the figure to account for the non-visible parts of the floating axis.\n\nThis behaviour was introduced by the below pull request, first released in Matplotlib 3.7:\n\n- #24085\n\n### Operating system\n\nLinux RHEL9\n\n### Matplotlib Version\n\n3.10.0\n\n### Matplotlib Backend\n\nqtagg\n\n### Python version\n\n3.10.0\n\n### Jupyter version\n\nN/A\n\n### Installation\n\nconda","author":{"url":"https://github.com/trexfeathers","@type":"Person","name":"trexfeathers"},"datePublished":"2026-05-06T17:21:04.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":0},"url":"https://github.com/31622/matplotlib/issues/31622"}

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#31628https://github.com/matplotlib/matplotlib/pull/31628
[Bug]: tight and constrained layouts honouring invisible parts of floating_axishttps://github.com/matplotlib/matplotlib/issues/31622#top
#31628https://github.com/matplotlib/matplotlib/pull/31628
status: confirmed bughttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22status%3A%20confirmed%20bug%22
topic: mpl_toolkithttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20mpl_toolkit%22
v3.11.0https://github.com/matplotlib/matplotlib/milestone/96
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on May 6, 2026https://github.com/matplotlib/matplotlib/issues/31622#issue-4393193318
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Set facecolor of FilledArrow axisline style and fix tight layout #24085https://github.com/matplotlib/matplotlib/pull/24085
status: confirmed bughttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22status%3A%20confirmed%20bug%22
topic: mpl_toolkithttps://github.com/matplotlib/matplotlib/issues?q=state%3Aopen%20label%3A%22topic%3A%20mpl_toolkit%22
v3.11.0https://github.com/matplotlib/matplotlib/milestone/96
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