René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"The original xlim changed by twinx","articleBody":"- Matplotlib version: 1.4.3\n- Python version: Python 2.7.11 :: Anaconda 2.3.0 (x86_64)\n- Platform: OSX 10.11.5\n\nThe issue: when making a twinx of the original axis with xlim and ylim explicitly set, the twinx axis and the plotting actions that follow will change the xlim of the original plot.  \"Semantically\", all the plots are still correct, but I doubt whether this is the intended behavior.\n\nThis can sometimes leads to **serious confusions**.  One example is when the axis (and its twinx) is part of an axes grid, and when its xticklabels are set to be invisible (which is common in a regular grid of axes).  In this case, plotting actions with twinx will change the x axis range implicitly and unknowingly, hence changing the alignment with other axes, making the quantitative interpretation of the plots impossible.\n\nFrom the [source code of twinx](https://github.com/matplotlib/matplotlib/blob/master/lib/matplotlib/axes/_base.py) it is clear to me that the twinx only \"inherits\" the position of the original axis.  I am thinking that it might be more helpful if it inherits all the properties of the original x axis. \n\nSee the following examples.\n\n``` python\n# This (x, y) pair will be used in all the following examples\nx = array([-2, 0, 2, 4])\ny = 0.3 * x + 0.2\n\nfig = figure()\n# This xlim and ylim are explicitly set, and I expect them not to be altered unless I explicitly do so.\nax = fig.add_axes((0.1,0.1,0.8,0.8), xlim=(0,2), ylim=(0,1), autoscalex_on=False, autoscaley_on=False)\nax.plot(x, y, color='blue', lw=10)\n```\n\n![image](https://cloud.githubusercontent.com/assets/1042334/17267931/07a22cc4-55e6-11e6-9d3f-113f16ec34e2.png)\n\n``` python\nfig = figure()\nax = fig.add_axes((0.1,0.1,0.8,0.8), xlim=(0,2), ylim=(0,1), autoscalex_on=False, autoscaley_on=False)\nax.plot(x, y, color='blue', lw=10)\nax = twinx(ax)\nax.plot(x, y, color='red', lw=5)\n# I would expect the two lines to overlap, but they don't.\n# Both xlim and ylim are changed.\n# Note that the blue line and the red line are still \"semantically\" correct.\n```\n\n![image](https://cloud.githubusercontent.com/assets/1042334/17267935/107d6c50-55e6-11e6-87fb-8651b91b0e9d.png)\n\n``` python\nfig = figure()\nax = fig.add_axes((0.1,0.1,0.8,0.8), xlim=(0,2), ylim=(0,1), autoscalex_on=False, autoscaley_on=False)\nax.plot(x, y, color='blue', lw=10)\nax = twinx(ax)\nax.plot(x, y, color='red', lw=5)\nax.set_xlim((0,2))\n# This one is acceptible, since the twinx axis has the same xlim as the original one,\n# though I expected that this should be the default behavior (without manually setting xlim).\n```\n\n![image](https://cloud.githubusercontent.com/assets/1042334/17267936/1755e020-55e6-11e6-814f-a5e4a0724543.png)\n\n``` python\nfig = figure()\nax = fig.add_axes((0.1,0.1,0.8,0.8), xlim=(0,2), ylim=(0,1), autoscalex_on=False, autoscaley_on=False)\nax.plot(x, y, color='blue', lw=10)\nax = twinx(ax)\nax.plot(x, y, color='red', lw=5)\nax.set_ylim((0,1))\n# In this case the two lines overlap, but the original xlim is changed.\n```\n\n![image](https://cloud.githubusercontent.com/assets/1042334/17267938/1cd811d0-55e6-11e6-839b-390fcfbcba90.png)\n\n``` python\nfig = figure()\nax = fig.add_axes((0.1,0.1,0.8,0.8), xlim=(0,2), ylim=(0,1), autoscalex_on=False, autoscaley_on=False)\nax.plot(x, y, color='blue', lw=10)\nax = twinx(ax)\nax.plot(x, y, color='red', lw=5)\nax.set_ylim((0,1))\nax.set_xlim((0,2))\n# This is what I expected in the beginning.\n# Basically, I do not expect the twinx to change the original xlim\n# (and any other properties of the x axis).\n```\n\n![image](https://cloud.githubusercontent.com/assets/1042334/17267940/2370a94e-55e6-11e6-94d2-f741f1a1346b.png)\n","author":{"url":"https://github.com/fjdu","@type":"Person","name":"fjdu"},"datePublished":"2016-07-30T03:56:21.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":4},"url":"https://github.com/6860/matplotlib/issues/6860"}