René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"[Bug]: compressed layout setting can be forgotten on second save","articleBody":"### Bug summary\r\n\r\nI'm not sure whether this is really a bug or I'm just using an inconsistent combination of options.  Under some specific circumstances (see below) compressed layout is not applied the second time a figure is saved.\r\n\r\n### Code for reproduction\r\n\r\n```python\r\nimport matplotlib\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\n\r\narr = np.arange(100).reshape((10, 10))\r\n\r\nmatplotlib.rcParams['figure.constrained_layout.use'] = True\r\n\r\nfig, ax_dict = plt.subplot_mosaic('AB;AC', figsize=(6, 9), width_ratios=[3, 2],\r\n                                  layout='compressed')\r\n\r\nfor key in [\"B\", \"C\"]:\r\n    ax_dict[key].imshow(arr)\r\n    \r\nfig.savefig(\"test1.png\", bbox_inches=\"tight\")\r\nfig.savefig(\"test2.png\", bbox_inches=\"tight\")\r\n```\r\n\r\n\r\n### Actual outcome\r\n\r\ntest1.png\r\n![test1](https://user-images.githubusercontent.com/10599679/212073531-4841d847-29a5-45a4-aaa1-1d3b81277ddc.png)\r\n\r\ntest2.png\r\n![test2](https://user-images.githubusercontent.com/10599679/212073574-f6286243-690d-4199-b6f4-4033e5d14635.png)\r\n\r\n\r\n### Expected outcome\r\n\r\nBoth images should look like the first.\r\n\r\n### Additional information\r\n\r\nIf I do not set the `rcParams`, all is well.  If I do not set `bbox_inches=\"tight\"` in my calls to `savefig`, the images are identical (but I have too much white space top and bottom).  Maybe there is a better option than `bbox_inches=\"tight\"` when using compressed layout?\r\n\r\nFor context, my real example is a script that makes several figures.  For most of them I want constrained layout, so I set that once in the `rcParams` for convenience.  Only one figure needs \"compressed\", and I am saving twice because I want both a png and a pdf.  Fixed it in my current example by just reverting the `rcParams` setting for the one figure.\r\n\r\n### Operating system\r\n\r\nRHEL7\r\n\r\n### Matplotlib Version\r\n\r\n3.6.2 and main\r\n\r\n### Matplotlib Backend\r\n\r\nQtAgg\r\n\r\n### Python version\r\n\r\n3.9 and 3.11\r\n\r\n### Jupyter version\r\n\r\n_No response_\r\n\r\n### Installation\r\n\r\nconda","author":{"url":"https://github.com/rcomer","@type":"Person","name":"rcomer"},"datePublished":"2023-01-12T13:13:53.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":7},"url":"https://github.com/24954/matplotlib/issues/24954"}