Title: `Axes.autoscale` has scale-inconsistent margins · Issue #16539 · matplotlib/matplotlib · GitHub
Open Graph Title: `Axes.autoscale` has scale-inconsistent margins · Issue #16539 · matplotlib/matplotlib
X Title: `Axes.autoscale` has scale-inconsistent margins · Issue #16539 · matplotlib/matplotlib
Description: Bug report Bug summary Autoscaling axis behaviour is inconsistent for data on very small scales Code for reproduction import matplotlib.pyplot as plt import numpy as np x = np.repeat(np.arange(10), 10) y = np.tile(np.arange(10), 10) fig,...
Open Graph Description: Bug report Bug summary Autoscaling axis behaviour is inconsistent for data on very small scales Code for reproduction import matplotlib.pyplot as plt import numpy as np x = np.repeat(np.arange(10),...
X Description: Bug report Bug summary Autoscaling axis behaviour is inconsistent for data on very small scales Code for reproduction import matplotlib.pyplot as plt import numpy as np x = np.repeat(np.arange(10),...
Opengraph URL: https://github.com/matplotlib/matplotlib/issues/16539
X: @github
Domain: github.com
{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"`Axes.autoscale` has scale-inconsistent margins","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\nAutoscaling axis behaviour is inconsistent for data on very small scales\r\n\r\n\u003c!--A short 1-2 sentences that succinctly describes the bug--\u003e\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 matplotlib.pyplot as plt\r\nimport numpy as np\r\nx = np.repeat(np.arange(10), 10)\r\ny = np.tile(np.arange(10), 10)\r\n\r\nfig, axes = plt.subplots(1, 4, figsize=(16, 4))\r\naxes[0].scatter(x, y)\r\naxes[1].scatter(x*1e3, y*1e3)\r\naxes[2].scatter(x*1e-3, y*1e-3)\r\naxes[3].scatter(x*1e-6, y*1e-6)\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\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\nThe plot should scale in the same way regardless of absolute values of data range. E.g.\r\n\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: 3.0.3\r\n * Matplotlib backend (`print(matplotlib.get_backend())`): module://ipykernel.pylab.backend_inline\r\n * Python version: 3.8.1\r\n * Jupyter version (if applicable): jupyter-client==5.3.4 jupyter-console==6.0.0 jupyter-core==4.6.1\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\nInstalled with pacman on arch linux (installs from source.)\r\n","author":{"url":"https://github.com/scottgigante","@type":"Person","name":"scottgigante"},"datePublished":"2020-02-16T20:16:39.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/16539/matplotlib/issues/16539"}
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| og:image:alt | Bug report Bug summary Autoscaling axis behaviour is inconsistent for data on very small scales Code for reproduction import matplotlib.pyplot as plt import numpy as np x = np.repeat(np.arange(10),... |
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