René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Scatter plots with log scaling","articleBody":"When using `plt.scatter` with log-scaled axes, order of calls is important: if axes are set to log scale before `plt.scatter` is called, margins of the plot are huge:\r\n\r\n```python\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nf, ax = plt.subplots()\r\nax.set_xscale('log')\r\nax.set_yscale('log')\r\nax.scatter(2**np.arange(10), 2**np.arange(10))\r\n```\r\n\r\n**Actual outcome**\r\n![image](https://user-images.githubusercontent.com/2895034/71193826-af474d80-2282-11ea-8710-8074b557e209.png)\r\n\r\n\r\n**Expected outcome**\r\nWhen `plt.scatter` is called before axes are set to log scale, it looks normal:\r\n```python\r\nimport matplotlib.pyplot as plt\r\nimport numpy as np\r\nf, ax = plt.subplots()\r\nax.scatter(2**np.arange(10), 2**np.arange(10))\r\nax.set_xscale('log')\r\nax.set_yscale('log')\r\n```\r\n![image](https://user-images.githubusercontent.com/2895034/71193927-e0278280-2282-11ea-8cc2-2aee32e358f6.png)\r\n\r\n\r\n  * Operating system: Ubuntu 18.04\r\n  * Matplotlib version: 3.1.1\r\n  * Matplotlib backend (`print(matplotlib.get_backend())`): module://ipykernel.pylab.backend_inline\r\n  * Python version: 3.8\r\n  * Jupyter version (if applicable): Jupyter Lab 1.1.4\r\n\r\nIn some earlier version of matplotlib (or something else) it worked as expected with any order of calls, but now I am getting this problem.\r\n\r\n","author":{"url":"https://github.com/Phlya","@type":"Person","name":"Phlya"},"datePublished":"2019-12-19T17:17:03.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":2},"url":"https://github.com/15978/matplotlib/issues/15978"}