René's URL Explorer Experiment

{"@context":"https://schema.org","@type":"DiscussionForumPosting","headline":"Heatmap plot with a cut-off on both top and bottom","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\nI follow the matplotlib tutorial from [_Creating annotated heatmaps_  ](https://matplotlib.org/3.1.0/gallery/images_contours_and_fields/image_annotated_heatmap.html)and just copy and run the first case. \r\n\r\nThen I get a weird plot with a cut-off on both top and bottom. \r\n\r\nIt also happens when I use [Seaborn ](https://github.com/mwaskom/seaborn)to plot an image. \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 numpy as np\r\nimport matplotlib\r\nimport matplotlib.pyplot as plt\r\n# sphinx_gallery_thumbnail_number = 2\r\n\r\nvegetables = [\"cucumber\", \"tomato\", \"lettuce\", \"asparagus\",\r\n              \"potato\", \"wheat\", \"barley\"]\r\nfarmers = [\"Farmer Joe\", \"Upland Bros.\", \"Smith Gardening\",\r\n           \"Agrifun\", \"Organiculture\", \"BioGoods Ltd.\", \"Cornylee Corp.\"]\r\n\r\nharvest = np.array([[0.8, 2.4, 2.5, 3.9, 0.0, 4.0, 0.0],\r\n                    [2.4, 0.0, 4.0, 1.0, 2.7, 0.0, 0.0],\r\n                    [1.1, 2.4, 0.8, 4.3, 1.9, 4.4, 0.0],\r\n                    [0.6, 0.0, 0.3, 0.0, 3.1, 0.0, 0.0],\r\n                    [0.7, 1.7, 0.6, 2.6, 2.2, 6.2, 0.0],\r\n                    [1.3, 1.2, 0.0, 0.0, 0.0, 3.2, 5.1],\r\n                    [0.1, 2.0, 0.0, 1.4, 0.0, 1.9, 6.3]])\r\n\r\n\r\nfig, ax = plt.subplots()\r\nim = ax.imshow(harvest)\r\n\r\n# We want to show all ticks...\r\nax.set_xticks(np.arange(len(farmers)))\r\nax.set_yticks(np.arange(len(vegetables)))\r\n# ... and label them with the respective list entries\r\nax.set_xticklabels(farmers)\r\nax.set_yticklabels(vegetables)\r\n\r\n# Rotate the tick labels and set their alignment.\r\nplt.setp(ax.get_xticklabels(), rotation=45, ha=\"right\",\r\n         rotation_mode=\"anchor\")\r\n\r\n# Loop over data dimensions and create text annotations.\r\nfor i in range(len(vegetables)):\r\n    for j in range(len(farmers)):\r\n        text = ax.text(j, i, harvest[i, j],\r\n                       ha=\"center\", va=\"center\", color=\"w\")\r\n\r\nax.set_title(\"Harvest of local farmers (in tons/year)\")\r\nfig.tight_layout()\r\nplt.show()\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![Uploading Figure_1.png…](https://i.imgur.com/XN1wwkn.png)\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![Expected outcome](https://matplotlib.org/3.1.0/_images/sphx_glr_image_annotated_heatmap_001.png)\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: Windows 10 1903\r\n  * Matplotlib version:  3.1.0\r\n  * Matplotlib backend (`print(matplotlib.get_backend())`): TkAgg\r\n  * Python version: 3.7.3\r\n\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/Wangqkoe","@type":"Person","name":"Wangqkoe"},"datePublished":"2019-07-12T20:06:11.000Z","interactionStatistic":{"@type":"InteractionCounter","interactionType":"https://schema.org/CommentAction","userInteractionCount":3},"url":"https://github.com/14751/matplotlib/issues/14751"}