René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"colorbar might shrink plots if used with twinx","articleBody":"### Bug report\r\n\r\n**Changing plot alignment for different placing of colorbar() in twinx plot**\r\n\r\nIf one combines a `pcolormesh` plot/`hist2d` plot with a standard `plot` by using `twinx`, the graph from the `plot` moves to wrong x values if the colorbar is called after the `plot` call. If it is called before, the alignment is fine. \r\n\r\nI am not sure if this is a bug or just wrong usage. \r\nHowever, one of the resulting graphs has a wrong extent that might lead to misinterpretations. \r\n\r\n**Code for reproduction**\r\n\r\n```python\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\n\r\ndata = np.random.random((64, 128)) * 2.0\r\nx = np.arange(128)\r\ny = np.arange(64)\r\nplt.pcolormesh(x, y, data)\r\n\r\n#plt.colorbar() --\u003e here it works fine\r\nplt.twinx()\r\nplt.colorbar()\r\n# --\u003e here it gives wrong x values for the orange plot\r\n\r\nplt.plot(x, np.sin(x/10), color=\"orange\", lw=4)\r\n\r\nplt.show()\r\n```\r\n\r\n**Actual outcome**\r\n\r\n![misaligned_twinx_wrong](https://user-images.githubusercontent.com/5121158/27697653-2efae51a-5cf5-11e7-9598-3aa81b5f556f.png)\r\n\r\nNext to the confusing layout the plot shows actually a wrong graph:\r\nthe **orange plot** just goes to around x=100 but **should go to x=128**.\r\n(The axis of the colorbar is correct and shows the range of  `data`.)\r\n\r\n\r\n\r\n\r\n**Expected outcome**\r\n\r\n![misaligned_twinx_correct](https://user-images.githubusercontent.com/5121158/27697891-da7b3836-5cf5-11e7-99a5-0fd6182acd7d.png)\r\n\r\nIf  `colorbar` is called before `twinx`, the orange graph has the correct extent. \r\n\r\n*I am not sure if this is a bug or a wrong usage of matplotlib. In any case the wrong extent of the (in this case) orange plot is a dangerous behavior that might lead to misinterpretations of the data.*\r\n\r\n**Matplotlib version**\r\n\r\n  * Operating System: Ubuntu 14.04.1\r\n  * Matplotlib Version: 2.0.0rc1\r\n  * Python Version: 3.4.3\r\n  * Jupyter Version: 1.0.0 (I am using `%matplotlib inline`)\r\n  * Other Libraries: numpy 1.12.0b1\r\n\r\nI installed matplotlib via pip.\r\n\r\n\r\n","author":{"url":"https://github.com/PrometheusPi","@type":"Person","name":"PrometheusPi"},"datePublished":"2017-06-29T16:29:02.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":7},"url":"https://github.com/8823/matplotlib/issues/8823"}