{"id":986946,"date":"2024-12-27T07:49:14","date_gmt":"2024-12-26T23:49:14","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/986946.html"},"modified":"2024-12-27T07:49:16","modified_gmt":"2024-12-26T23:49:16","slug":"python%e4%bd%9c%e5%9b%be%e5%a6%82%e4%bd%95%e5%8e%bb%e6%8e%89%e5%9d%90%e6%a0%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/986946.html","title":{"rendered":"python\u4f5c\u56fe\u5982\u4f55\u53bb\u6389\u5750\u6807"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063304\/1b74d4fe-048b-4c3c-bba2-8168b1aea57d.webp\" alt=\"python\u4f5c\u56fe\u5982\u4f55\u53bb\u6389\u5750\u6807\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u4f5c\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u6765\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528<code>plt.axis(&#39;off&#39;)<\/code>\u5b8c\u5168\u53bb\u6389\u5750\u6807\u8f74\u3001\u901a\u8fc7<code>ax.xaxis.set_visible(False)<\/code>\u548c<code>ax.yaxis.set_visible(False)<\/code>\u5206\u522b\u9690\u85cfx\u8f74\u548cy\u8f74\u3001\u901a\u8fc7<code>ax.set_xticks([])<\/code>\u548c<code>ax.set_yticks([])<\/code>\u9690\u85cf\u5750\u6807\u8f74\u523b\u5ea6\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4e00\u3001MATPLOTLIB\u7b80\u4ecb\u53ca\u5b89\u88c5<\/p>\n<\/p>\n<p><p>Matplotlib\u662fPython\u4e2d\u6700\u5e7f\u6cdb\u4f7f\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u7ed8\u5236\u5404\u7c7b\u56fe\u8868\u3002\u4f7f\u7528Matplotlib\u53ef\u4ee5\u8f7b\u677e\u5730\u5bf9\u56fe\u8868\u8fdb\u884c\u81ea\u5b9a\u4e49\uff0c\u5305\u62ec\u53bb\u6389\u5750\u6807\u8f74\u7b49\u64cd\u4f5c\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5728\u4f60\u7684Python\u73af\u5883\u4e2d\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5c31\u53ef\u4ee5\u5f00\u59cb\u4f7f\u7528Matplotlib\u8fdb\u884c\u4f5c\u56fe\u4e86\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528PLT.AXIS(&#39;OFF&#39;)\u53bb\u6389\u5750\u6807\u8f74<\/p>\n<\/p>\n<p><p><code>plt.axis(&#39;off&#39;)<\/code>\u662fMatplotlib\u4e2d\u4e00\u4e2a\u975e\u5e38\u7b80\u5355\u4e14\u6709\u6548\u7684\u65b9\u6cd5\u6765\u53bb\u6389\u6574\u4e2a\u56fe\u8868\u7684\u5750\u6807\u8f74\u3002\u4f7f\u7528\u8fd9\u4e2a\u65b9\u6cd5\u540e\uff0c\u6574\u4e2a\u56fe\u8868\u7684\u5750\u6807\u8f74\u548c\u523b\u5ea6\u5c06\u88ab\u9690\u85cf\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import numpy as np<\/p>\n<p>x = np.linspace(0, 10, 100)<\/p>\n<p>y = np.sin(x)<\/p>\n<p>plt.plot(x, y)<\/p>\n<p>plt.axis(&#39;off&#39;)  # \u53bb\u6389\u5750\u6807\u8f74<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528<code>plt.axis(&#39;off&#39;)<\/code>\u53ef\u4ee5\u786e\u4fdd\u56fe\u8868\u4e2d\u6ca1\u6709\u663e\u793a\u4efb\u4f55\u5750\u6807\u8f74\u548c\u523b\u5ea6\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u9690\u85cfX\u8f74\u548cY\u8f74<\/p>\n<\/p>\n<p><p>\u6709\u65f6\u5019\uff0c\u6211\u4eec\u53ef\u80fd\u53ea\u9700\u8981\u9690\u85cf\u7279\u5b9a\u7684\u5750\u6807\u8f74\uff0c\u6bd4\u5982\u53ea\u9690\u85cfx\u8f74\u6216\u8005y\u8f74\u3002Matplotlib\u63d0\u4f9b\u4e86<code>ax.xaxis.set_visible(False)<\/code>\u548c<code>ax.yaxis.set_visible(False)<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<p>ax.xaxis.set_visible(False)  # \u9690\u85cfx\u8f74<\/p>\n<p>ax.yaxis.set_visible(False)  # \u9690\u85cfy\u8f74<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u901a\u8fc7<code>ax.xaxis.set_visible(False)<\/code>\u548c<code>ax.yaxis.set_visible(False)<\/code>\uff0c\u6211\u4eec\u5206\u522b\u9690\u85cf\u4e86x\u8f74\u548cy\u8f74\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u9690\u85cf\u5750\u6807\u8f74\u523b\u5ea6<\/p>\n<\/p>\n<p><p>\u5982\u679c\u60f3\u8981\u9690\u85cf\u523b\u5ea6\u800c\u4fdd\u7559\u5750\u6807\u8f74\uff0c\u53ef\u4ee5\u4f7f\u7528<code>ax.set_xticks([])<\/code>\u548c<code>ax.set_yticks([])<\/code>\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<p>ax.set_xticks([])  # \u9690\u85cfx\u8f74\u523b\u5ea6<\/p>\n<p>ax.set_yticks([])  # \u9690\u85cfy\u8f74\u523b\u5ea6<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u5750\u6807\u8f74\u4f9d\u7136\u5b58\u5728\uff0c\u53ea\u662f\u523b\u5ea6\u88ab\u9690\u85cf\u4e86\u3002\u8fd9\u6837\u53ef\u4ee5\u5728\u89c6\u89c9\u4e0a\u51cf\u5c11\u5e72\u6270\uff0c\u4f46\u4ecd\u7136\u4fdd\u7559\u5750\u6807\u8f74\u7684\u5b58\u5728\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u81ea\u5b9a\u4e49\u5750\u6807\u8f74<\/p>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u591a\u79cd\u65b9\u6cd5\u6765\u5bf9\u56fe\u8868\u7684\u5750\u6807\u8f74\u8fdb\u884c\u81ea\u5b9a\u4e49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5b83\u5c55\u793a\u4e86\u5982\u4f55\u540c\u65f6\u9690\u85cf\u523b\u5ea6\u548c\u5750\u6807\u8f74\uff0c\u5e76\u4fdd\u7559\u6807\u7b7e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">fig, ax = plt.subplots()<\/p>\n<p>ax.plot(x, y)<\/p>\n<h2><strong>\u9690\u85cf\u523b\u5ea6<\/strong><\/h2>\n<p>ax.set_xticks([])<\/p>\n<p>ax.set_yticks([])<\/p>\n<h2><strong>\u9690\u85cf\u5750\u6807\u8f74<\/strong><\/h2>\n<p>ax.spines[&#39;top&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;right&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;left&#39;].set_visible(False)<\/p>\n<p>ax.spines[&#39;bottom&#39;].set_visible(False)<\/p>\n<h2><strong>\u4fdd\u7559\u6807\u7b7e<\/strong><\/h2>\n<p>ax.set_xlabel(&#39;X Axis Label&#39;)<\/p>\n<p>ax.set_ylabel(&#39;Y Axis Label&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4e0d\u4ec5\u9690\u85cf\u4e86\u523b\u5ea6\u548c\u5750\u6807\u8f74\uff0c\u8fd8\u901a\u8fc7\u4fdd\u7559\u6807\u7b7e\u6765\u4f20\u8fbe\u5fc5\u8981\u7684\u4fe1\u606f\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u4ecb\u7ecd\uff0c\u76f8\u4fe1\u4f60\u5df2\u7ecf\u5bf9\u5982\u4f55\u4f7f\u7528Matplotlib\u53bb\u6389\u5750\u6807\u8f74\u6709\u4e86\u5168\u9762\u7684\u4e86\u89e3\u3002\u5728\u7ed8\u56fe\u65f6\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u6765\u9690\u85cf\u5750\u6807\u8f74\u6216\u523b\u5ea6\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u7684\u56fe\u8868\u5c55\u793a\u6548\u679c\u3002\u4f7f\u7528Matplotlib\u7684\u7075\u6d3b\u6027\uff0c\u53ef\u4ee5\u8ba9\u6211\u4eec\u5728\u7ed8\u56fe\u4e2d\u5b9e\u73b0\u66f4\u591a\u81ea\u5b9a\u4e49\u529f\u80fd\uff0c\u4ece\u800c\u6ee1\u8db3\u4e0d\u540c\u7684\u53ef\u89c6\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5220\u9664\u5750\u6807\u8f74\u4ee5\u7b80\u5316\u56fe\u5f62\uff1f<\/strong><br \/>\u5728\u4f7f\u7528Python\u7684Matplotlib\u5e93\u8fdb\u884c\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7<code>plt.axis(&#39;off&#39;)<\/code>\u547d\u4ee4\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\u3002\u8fd9\u5c06\u9690\u85cf\u6240\u6709\u7684\u5750\u6807\u8f74\u7ebf\u548c\u523b\u5ea6\uff0c\u4f7f\u56fe\u5f62\u770b\u8d77\u6765\u66f4\u52a0\u7b80\u6d01\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">import matplotlib.pyplot as plt\n\n# \u751f\u6210\u793a\u4f8b\u6570\u636e\nx = [1, 2, 3, 4]\ny = [10, 20, 25, 30]\n\nplt.plot(x, y)\nplt.axis(&#39;off&#39;)  # \u53bb\u6389\u5750\u6807\u8f74\nplt.show()\n<\/code><\/pre>\n<p><strong>\u5728\u4ec0\u4e48\u60c5\u51b5\u4e0b\u9700\u8981\u53bb\u6389\u56fe\u5f62\u7684\u5750\u6807\u8f74\uff1f<\/strong><br \/>\u53bb\u6389\u5750\u6807\u8f74\u901a\u5e38\u9002\u7528\u4e8e\u9700\u8981\u5c55\u793a\u827a\u672f\u4f5c\u54c1\u3001\u56fe\u50cf\u6216\u9700\u8981\u7a81\u51fa\u6570\u636e\u7279\u5f81\u7684\u573a\u666f\u3002\u8fd9\u6837\u7684\u5904\u7406\u53ef\u4ee5\u907f\u514d\u5e72\u6270\u89c2\u4f17\u7684\u89c6\u89c9\u7126\u70b9\uff0c\u4f7f\u4ed6\u4eec\u66f4\u5bb9\u6613\u5173\u6ce8\u56fe\u5f62\u7684\u5185\u5bb9\u800c\u4e0d\u662f\u5750\u6807\u4fe1\u606f\u3002<\/p>\n<p><strong>\u4f7f\u7528\u5176\u4ed6Python\u5e93\u662f\u5426\u4e5f\u80fd\u53bb\u6389\u5750\u6807\u8f74\uff1f<\/strong><br \/>\u9664\u4e86Matplotlib\uff0c\u5176\u4ed6\u5e93\u5982Seaborn\u548cPlotly\u4e5f\u63d0\u4f9b\u4e86\u53bb\u6389\u5750\u6807\u8f74\u7684\u529f\u80fd\u3002\u5728Seaborn\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>ax.axis(&#39;off&#39;)<\/code>\uff0c\u800c\u5728Plotly\u4e2d\u5219\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e<code>showlegend=False<\/code>\u548c<code>xaxis_visible=False<\/code>\u6765\u5b9e\u73b0\u3002\u8fd9\u4e9b\u5e93\u7684\u7075\u6d3b\u6027\u4f7f\u5f97\u7528\u6237\u80fd\u591f\u6839\u636e\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u65b9\u5f0f\u6765\u5c55\u793a\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4f5c\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u6765\u8f7b\u677e\u53bb\u6389\u5750\u6807\u8f74\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528plt.axis [&hellip;]","protected":false},"author":3,"featured_media":986950,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986946"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=986946"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986946\/revisions"}],"predecessor-version":[{"id":986955,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/986946\/revisions\/986955"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/986950"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=986946"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=986946"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=986946"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}