René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Marker sizes in Axes3D scatter plot are changing all the time","articleBody":"\u003c!--To help us understand and resolve your issue, please fill out the form to the best of your ability.--\u003e\r\n\u003c!--You can feel free to delete the sections that do not apply.--\u003e\r\n\r\n### Bug report\r\n\r\n**Bug summary**\r\n\r\n\u003c!--A short 1-2 sentences that succinctly describes the bug--\u003e\r\n\r\nThe marker sizes that specified with `s=` argument in `scatter` function are wrong, and even worse, the markers are changing their sizes every time the plot is re-rendered (panning or resizing). It seems that the sizes are randomly reassigned to these markers.\r\n\r\n**Code for reproduction**\r\n\r\n\u003c!--A minimum code snippet required to reproduce the bug.\r\nPlease make sure to minimize the number of dependencies required, and provide\r\nany necessary plotted data.\r\nAvoid using threads, as Matplotlib is (explicitly) not thread-safe.--\u003e\r\n\r\n```python\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nfrom mpl_toolkits.mplot3d import Axes3D\r\n\r\nfig = plt.figure()\r\n\r\n# matplotlib 3.4\r\nax = Axes3D(fig, auto_add_to_figure=False)\r\nfig.add_axes(ax)\r\n# matplotlib 3.3.4\r\n# Axes3D(fig)\r\n\r\nx = np.random.rand(200)\r\ny = np.random.rand(200)\r\nz = np.random.rand(200)\r\nax.scatter(x, y, z, s=x*50)\r\n\r\nplt.show()\r\n```\r\n\r\n**Actual outcome**\r\n\r\n\u003c!--The output produced by the above code, which may be a screenshot, console output, etc.--\u003e\r\n\r\n\r\nhttps://user-images.githubusercontent.com/12032219/112714930-df66ad00-8f17-11eb-8800-292ac7cf4e02.mp4\r\n\r\n**Expected outcome**\r\n\r\n\u003c!--A description of the expected outcome from the code snippet--\u003e\r\n\u003c!--If this used to work in an earlier version of Matplotlib, please note the version it used to work on--\u003e\r\n\r\nAs shown in the screen recording, the sizes are correct and not changing. `matplotlib` was 3.3.4 in the following example.\r\n\r\n\r\nhttps://user-images.githubusercontent.com/12032219/112715101-6cf6cc80-8f19-11eb-963a-4fc1d9b6e40f.mp4\r\n\r\n\r\n\r\n**Matplotlib version**\r\n\u003c!--Please specify your platform and versions of the relevant libraries you are using:--\u003e\r\n  * Operating system: Arch Linux\r\n  * Matplotlib version (`import matplotlib; print(matplotlib.__version__)`): 3.4.0\r\n  * Matplotlib backend (`print(matplotlib.get_backend())`): Qt5Agg\r\n  * Python version: 3.9.2\r\n  * Jupyter version (if applicable): Not using it\r\n  * Other libraries: numpy 1.20.1\r\n\r\n\u003c!--Please tell us how you installed matplotlib and python e.g., from source, pip, conda--\u003e\r\n\u003c!--If you installed from conda, please specify which channel you used if not the default--\u003e\r\n\r\nI installed both python, numpy and matplotlib with `pacman` package manager from Arch's official repository.","author":{"url":"https://github.com/xlucn","@type":"Person","name":"xlucn"},"datePublished":"2021-03-27T08:30:23.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":8},"url":"https://github.com/19787/matplotlib/issues/19787"}