René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Issue with the way rasterization works","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\nRasterizing the marker collection results in a large file size as compared to rasterizing the whole axes. See the example below:\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\n\r\ndata = np.random.rand(100, 100)\r\n\r\nfig1, ax1 = plt.subplots()\r\nax1.plot(data, 'o', rasterized=True)\r\nfig1.savefig('rasterizing_markers.pdf')\r\n\r\nfig2, ax2 = plt.subplots()\r\nax2.set_rasterized(True)\r\nax2.plot(data, 'o')\r\nfig2.savefig('rasterizing_axes.pdf')\r\n```\r\n\r\n**Actual outcome**\r\nrasterizing_axes.pdf is around 123 KB and rasterizing_markers.pdf is around 447 KB! (the only difference in those two files is that rasterizing_markers.pdf has spines, ticks and tick labels in vector format)\r\n\u003c!--The output produced by the above code, which may be a screenshot, console output, etc.--\u003e\r\n\r\n**Expected outcome**\r\nExpecting that both files will have similar size. I am sure that the difference is not because of the embedded fonts (If I change `data = np.random.rand(100, 100)` to `data = np.random.rand(10, 10)`, the file size for rasterizing_markers.pdf is 23 KB so that rules out the role of embedded fonts in explaining the ~300 KB difference).\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\n**Matplotlib version**\r\n\u003c!--Please specify your platform and versions of the relevant libraries you are using:--\u003e\r\n  * Operating system: MacOS\r\n  * Matplotlib version:  3.0.3\r\n  * Matplotlib backend (`print(matplotlib.get_backend())`):\r\n  * Python version: 3.7\r\n  * Jupyter version (if applicable):\r\n  * Other libraries: \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\n","author":{"url":"https://github.com/pharshalp","@type":"Person","name":"pharshalp"},"datePublished":"2019-03-20T03:09:08.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":10},"url":"https://github.com/13718/matplotlib/issues/13718"}