{"id":1054252,"date":"2024-12-31T14:40:48","date_gmt":"2024-12-31T06:40:48","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1054252.html"},"modified":"2024-12-31T14:41:03","modified_gmt":"2024-12-31T06:41:03","slug":"python%e5%a6%82%e4%bd%95%e7%94%bb%e5%87%ba%e8%a1%a8%e8%be%be%e5%bc%8f%e7%9a%84%e7%9b%b4%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1054252.html","title":{"rendered":"python\u5982\u4f55\u753b\u51fa\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/687e93c0-8b2e-4bba-bb53-35b11628f78e.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u753b\u51fa\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\" \/><\/p>\n<p><p> <strong>\u8981\u5728Python\u4e2d\u753b\u51fa\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u548cNumPy\u5e93\u3002<\/strong>\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8f7b\u677e\u5730\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u5305\u62ec\u76f4\u7ebf\u3002\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\uff0c\u5982\u679c\u8fd8\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<code>pip install matplotlib numpy<\/code>\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u7ed8\u5236\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u5f00\u59cb\u7ed8\u56fe\u4e4b\u524d\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86\u6240\u9700\u7684\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/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><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u5b9a\u4e49\u8868\u8fbe\u5f0f<\/h3>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\u6765\u8868\u793a\u76f4\u7ebf\u7684\u8868\u8fbe\u5f0f\u3002\u5047\u8bbe\u6211\u4eec\u60f3\u7ed8\u5236\u7684\u76f4\u7ebf\u65b9\u7a0b\u662f<code>y = 2x + 1<\/code>\u3002\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2aPython\u51fd\u6570\u6765\u8868\u793a\u8fd9\u4e2a\u65b9\u7a0b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def linear_expression(x):<\/p>\n<p>    return 2 * x + 1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u751f\u6210\u6570\u636e\u70b9<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528NumPy\u5e93\u751f\u6210\u4e00\u7ec4x\u503c\uff0c\u5e76\u4f7f\u7528\u5b9a\u4e49\u7684\u51fd\u6570\u8ba1\u7b97\u76f8\u5e94\u7684y\u503c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528NumPy\u7684<code>linspace<\/code>\u51fd\u6570\u6765\u751f\u6210\u4e00\u7ec4\u5747\u5300\u5206\u5e03\u7684x\u503c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">x = np.linspace(-10, 10, 400)  # \u751f\u6210\u4ece-10\u523010\u7684400\u4e2ax\u503c<\/p>\n<p>y = linear_expression(x)       # \u8ba1\u7b97\u76f8\u5e94\u7684y\u503c<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u7ed8\u5236\u76f4\u7ebf<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528Matplotlib\u5e93\u7684<code>plot<\/code>\u51fd\u6570\u7ed8\u5236\u76f4\u7ebf\uff0c\u5e76\u6dfb\u52a0\u4e00\u4e9b\u56fe\u5f62\u5143\u7d20\uff0c\u4f8b\u5982\u6807\u9898\u3001\u6807\u7b7e\u548c\u7f51\u683c\u7ebf\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, label=&#39;y = 2x + 1&#39;)  # \u7ed8\u5236\u76f4\u7ebf\uff0c\u5e76\u6dfb\u52a0\u6807\u7b7e<\/p>\n<p>plt.title(&#39;Plot of the linear expression y = 2x + 1&#39;)  # \u6dfb\u52a0\u6807\u9898<\/p>\n<p>plt.xlabel(&#39;x&#39;)  # \u6dfb\u52a0x\u8f74\u6807\u7b7e<\/p>\n<p>plt.ylabel(&#39;y&#39;)  # \u6dfb\u52a0y\u8f74\u6807\u7b7e<\/p>\n<p>plt.grid(True)  # \u663e\u793a\u7f51\u683c\u7ebf<\/p>\n<p>plt.legend()  # \u663e\u793a\u56fe\u4f8b<\/p>\n<p>plt.show()  # \u663e\u793a\u56fe\u5f62<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n<p><p>\u5c06\u4ee5\u4e0a\u6b65\u9aa4\u6574\u5408\u5230\u4e00\u4e2a\u5b8c\u6574\u7684Python\u811a\u672c\u4e2d\uff1a<\/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>def linear_expression(x):<\/p>\n<p>    return 2 * x + 1<\/p>\n<p>x = np.linspace(-10, 10, 400)<\/p>\n<p>y = linear_expression(x)<\/p>\n<p>plt.plot(x, y, label=&#39;y = 2x + 1&#39;)<\/p>\n<p>plt.title(&#39;Plot of the linear expression y = 2x + 1&#39;)<\/p>\n<p>plt.xlabel(&#39;x&#39;)<\/p>\n<p>plt.ylabel(&#39;y&#39;)<\/p>\n<p>plt.grid(True)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u8be6\u7ec6\u89e3\u91ca<\/h3>\n<\/p>\n<p><h4>1\u3001\u5bfc\u5165\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u6211\u4eec\u5bfc\u5165\u4e86Matplotlib\u548cNumPy\u5e93\u3002Matplotlib\u662f\u4e00\u4e2a\u7528\u4e8e\u521b\u5efa\u9759\u6001\u3001\u52a8\u753b\u548c\u4ea4\u4e92\u5f0f\u53ef\u89c6\u5316\u7684\u5e7f\u6cdb\u4f7f\u7528\u7684Python\u5e93\u3002NumPy\u662f\u4e00\u4e2a\u652f\u6301\u5927\u578b\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u7684\u5e93\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u5b9a\u4e49\u51fd\u6570<\/h4>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u51fd\u6570<code>linear_expression<\/code>\uff0c\u5b83\u8868\u793a\u6211\u4eec\u8981\u7ed8\u5236\u7684\u76f4\u7ebf\u65b9\u7a0b\u3002\u8fd9\u4e2a\u51fd\u6570\u63a5\u53d7\u4e00\u4e2a\u53c2\u6570<code>x<\/code>\uff0c\u5e76\u8fd4\u56de\u5bf9\u5e94\u7684<code>y<\/code>\u503c\u3002<\/p>\n<\/p>\n<p><h4>3\u3001\u751f\u6210\u6570\u636e\u70b9<\/h4>\n<\/p>\n<p><p>\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528NumPy\u7684<code>linspace<\/code>\u51fd\u6570\u751f\u6210\u4e86\u4e00\u7ec4\u4ece-10\u523010\u7684\u5747\u5300\u5206\u5e03\u7684x\u503c\u3002<code>linspace<\/code>\u51fd\u6570\u7684\u7b2c\u4e09\u4e2a\u53c2\u6570\u6307\u5b9a\u4e86\u8981\u751f\u6210\u7684x\u503c\u7684\u6570\u91cf\u3002\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86400\u4e2ax\u503c\u3002\u63a5\u7740\uff0c\u6211\u4eec\u4f7f\u7528\u5b9a\u4e49\u7684\u51fd\u6570\u8ba1\u7b97\u4e86\u76f8\u5e94\u7684y\u503c\u3002<\/p>\n<\/p>\n<p><h4>4\u3001\u7ed8\u5236\u76f4\u7ebf<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Matplotlib\u7684<code>plot<\/code>\u51fd\u6570\u7ed8\u5236\u4e86\u76f4\u7ebf\u3002<code>plot<\/code>\u51fd\u6570\u7684\u7b2c\u4e00\u4e2a\u53c2\u6570\u662fx\u503c\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u662fy\u503c\u3002\u6211\u4eec\u8fd8\u4f20\u9012\u4e86\u4e00\u4e2a\u6807\u7b7e\u53c2\u6570<code>label<\/code>\uff0c\u7528\u4e8e\u6807\u8bc6\u56fe\u4f8b\u4e2d\u7684\u76f4\u7ebf\u3002<\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u4f7f\u56fe\u5f62\u66f4\u5177\u4fe1\u606f\u6027\uff0c\u6211\u4eec\u6dfb\u52a0\u4e86\u4e00\u4e9b\u56fe\u5f62\u5143\u7d20\u3002\u4f7f\u7528<code>title<\/code>\u51fd\u6570\u6dfb\u52a0\u4e86\u56fe\u5f62\u7684\u6807\u9898\uff0c\u4f7f\u7528<code>xlabel<\/code>\u548c<code>ylabel<\/code>\u51fd\u6570\u5206\u522b\u6dfb\u52a0\u4e86x\u8f74\u548cy\u8f74\u7684\u6807\u7b7e\uff0c\u4f7f\u7528<code>grid<\/code>\u51fd\u6570\u663e\u793a\u4e86\u7f51\u683c\u7ebf\uff0c\u4f7f\u7528<code>legend<\/code>\u51fd\u6570\u663e\u793a\u4e86\u56fe\u4f8b\u3002<\/p>\n<\/p>\n<p><p>\u6700\u540e\uff0c\u4f7f\u7528<code>show<\/code>\u51fd\u6570\u663e\u793a\u4e86\u56fe\u5f62\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u6269\u5c55\u548c\u9ad8\u7ea7\u529f\u80fd<\/h3>\n<\/p>\n<p><h4>1\u3001\u7ed8\u5236\u591a\u6761\u76f4\u7ebf<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e2d\u7ed8\u5236\u591a\u6761\u76f4\u7ebf\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6211\u4eec\u8fd8\u60f3\u7ed8\u5236<code>y = -x + 2<\/code>\u548c<code>y = 0.5x - 3<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u5b9a\u4e49\u76f8\u5e94\u7684\u51fd\u6570\u5e76\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e2d\u7ed8\u5236\u5b83\u4eec\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def linear_expression_2(x):<\/p>\n<p>    return -x + 2<\/p>\n<p>def linear_expression_3(x):<\/p>\n<p>    return 0.5 * x - 3<\/p>\n<p>y2 = linear_expression_2(x)<\/p>\n<p>y3 = linear_expression_3(x)<\/p>\n<p>plt.plot(x, y, label=&#39;y = 2x + 1&#39;)<\/p>\n<p>plt.plot(x, y2, label=&#39;y = -x + 2&#39;)<\/p>\n<p>plt.plot(x, y3, label=&#39;y = 0.5x - 3&#39;)<\/p>\n<p>plt.title(&#39;Plot of multiple linear expressions&#39;)<\/p>\n<p>plt.xlabel(&#39;x&#39;)<\/p>\n<p>plt.ylabel(&#39;y&#39;)<\/p>\n<p>plt.grid(True)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u8c03\u6574\u56fe\u5f62\u6837\u5f0f<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u63d0\u4f9b\u7684\u5404\u79cd\u6837\u5f0f\u9009\u9879\u6765\u8c03\u6574\u56fe\u5f62\u7684\u5916\u89c2\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u6539\u76f4\u7ebf\u7684\u989c\u8272\u3001\u7ebf\u6761\u6837\u5f0f\u548c\u6807\u8bb0\u6837\u5f0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, &#39;r-&#39;, label=&#39;y = 2x + 1&#39;)  # \u7ea2\u8272\u5b9e\u7ebf<\/p>\n<p>plt.plot(x, y2, &#39;g--&#39;, label=&#39;y = -x + 2&#39;)  # \u7eff\u8272\u865a\u7ebf<\/p>\n<p>plt.plot(x, y3, &#39;b-.&#39;, label=&#39;y = 0.5x - 3&#39;)  # \u84dd\u8272\u70b9\u5212\u7ebf<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u4fdd\u5b58\u56fe\u5f62<\/h4>\n<\/p>\n<p><p>\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528<code>savefig<\/code>\u51fd\u6570\u5c06\u56fe\u5f62\u4fdd\u5b58\u4e3a\u6587\u4ef6\uff0c\u4f8b\u5982PNG\u6216PDF\u683c\u5f0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">plt.plot(x, y, label=&#39;y = 2x + 1&#39;)<\/p>\n<p>plt.title(&#39;Plot of the linear expression y = 2x + 1&#39;)<\/p>\n<p>plt.xlabel(&#39;x&#39;)<\/p>\n<p>plt.ylabel(&#39;y&#39;)<\/p>\n<p>plt.grid(True)<\/p>\n<p>plt.legend()<\/p>\n<p>plt.savefig(&#39;linear_expression.png&#39;)  # \u4fdd\u5b58\u4e3aPNG\u6587\u4ef6<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u4f7f\u7528Python\u4e2d\u7684Matplotlib\u548cNumPy\u5e93\u7ed8\u5236\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\u3002\u6211\u4eec\u4ece\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u5f00\u59cb\uff0c\u5b9a\u4e49\u4e86\u4e00\u4e2a\u8868\u793a\u76f4\u7ebf\u65b9\u7a0b\u7684\u51fd\u6570\uff0c\u751f\u6210\u4e86\u4e00\u7ec4\u6570\u636e\u70b9\uff0c\u5e76\u4f7f\u7528Matplotlib\u7684\u7ed8\u56fe\u529f\u80fd\u7ed8\u5236\u4e86\u76f4\u7ebf\u3002\u6211\u4eec\u8fd8\u8ba8\u8bba\u4e86\u5982\u4f55\u5728\u540c\u4e00\u4e2a\u56fe\u5f62\u4e2d\u7ed8\u5236\u591a\u6761\u76f4\u7ebf\uff0c\u8c03\u6574\u56fe\u5f62\u6837\u5f0f\uff0c\u4ee5\u53ca\u4fdd\u5b58\u56fe\u5f62\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u57fa\u672c\u77e5\u8bc6\u548c\u6280\u5de7\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u5728Python\u4e2d\u7ed8\u5236\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\uff0c\u4e3a\u6570\u636e\u5206\u6790\u548c\u53ef\u89c6\u5316\u63d0\u4f9b\u5f3a\u6709\u529b\u7684\u652f\u6301\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u8ba9\u60a8\u5728Python\u7ed8\u56fe\u7684\u65c5\u7a0b\u4e2d\u66f4\u52a0\u81ea\u4fe1\u548c\u5f97\u5fc3\u5e94\u624b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u6570\u5b66\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\uff1f<\/strong><br \/>\u4f7f\u7528Python\u7ed8\u5236\u6570\u5b66\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7Matplotlib\u5e93\u5b9e\u73b0\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5Matplotlib\u5e93\uff0c\u7136\u540e\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u8868\u8fbe\u5f0f\u7684\u51fd\u6570\u5e76\u4f7f\u7528<code>plot<\/code>\u65b9\u6cd5\u6765\u7ed8\u5236\u76f4\u7ebf\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy<\/code>\u751f\u6210x\u8f74\u7684\u503c\uff0c\u5e76\u8ba1\u7b97\u76f8\u5e94\u7684y\u8f74\u503c\u8fdb\u884c\u7ed8\u5236\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">import numpy as np\nimport matplotlib.pyplot as plt\n\n# \u5b9a\u4e49x\u8303\u56f4\nx = np.linspace(-10, 10, 100)\n# \u5b9a\u4e49\u76f4\u7ebf\u65b9\u7a0b\uff0c\u4f8b\u5982y = 2*x + 1\ny = 2 * x + 1\n\n# \u7ed8\u5236\u76f4\u7ebf\nplt.plot(x, y, label=&#39;y = 2x + 1&#39;)\nplt.title(&#39;Graph of the Expression&#39;)\nplt.xlabel(&#39;x-axis&#39;)\nplt.ylabel(&#39;y-axis&#39;)\nplt.axhline(0, color=&#39;black&#39;,linewidth=0.5, ls=&#39;--&#39;)\nplt.axvline(0, color=&#39;black&#39;,linewidth=0.5, ls=&#39;--&#39;)\nplt.grid()\nplt.legend()\nplt.show()\n<\/code><\/pre>\n<p><strong>\u6211\u9700\u8981\u5b89\u88c5\u54ea\u4e9b\u5e93\u6765\u7ed8\u5236\u8868\u8fbe\u5f0f\u76f4\u7ebf\uff1f<\/strong><br \/>\u4e3a\u4e86\u7ed8\u5236\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\uff0c\u901a\u5e38\u9700\u8981\u5b89\u88c5NumPy\u548cMatplotlib\u8fd9\u4e24\u4e2a\u5e93\u3002NumPy\u7528\u4e8e\u5904\u7406\u6570\u503c\u8ba1\u7b97\uff0c\u800cMatplotlib\u5219\u662f\u7528\u4e8e\u7ed8\u56fe\u7684\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8f7b\u677e\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\uff1a  <\/p>\n<pre><code>pip install numpy matplotlib\n<\/code><\/pre>\n<p><strong>\u5728Python\u4e2d\u5982\u4f55\u8bbe\u7f6e\u76f4\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\uff1f<\/strong><br \/>\u53ef\u4ee5\u901a\u8fc7\u5728<code>plot<\/code>\u51fd\u6570\u4e2d\u6307\u5b9a\u53c2\u6570\u6765\u8bbe\u7f6e\u76f4\u7ebf\u7684\u6837\u5f0f\u548c\u989c\u8272\u3002Matplotlib\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u9009\u9879\uff0c\u6bd4\u5982\u7ebf\u6761\u7c7b\u578b\u3001\u989c\u8272\u3001\u6807\u8bb0\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u793a\u4f8b\uff1a  <\/p>\n<pre><code class=\"language-python\">plt.plot(x, y, color=&#39;red&#39;, linestyle=&#39;--&#39;, linewidth=2, marker=&#39;o&#39;)\n<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u76f4\u7ebf\u7684\u989c\u8272\u8bbe\u7f6e\u4e3a\u7ea2\u8272\uff0c\u7ebf\u578b\u4e3a\u865a\u7ebf\uff0c\u7ebf\u5bbd\u4e3a2\uff0c\u5e76\u5728\u6570\u636e\u70b9\u4e0a\u6dfb\u52a0\u4e86\u5706\u5f62\u6807\u8bb0\u3002\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u81ea\u5b9a\u4e49\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u753b\u51fa\u8868\u8fbe\u5f0f\u7684\u76f4\u7ebf\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u548cNumPy\u5e93\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef [&hellip;]","protected":false},"author":3,"featured_media":1054291,"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\/1054252"}],"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=1054252"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054252\/revisions"}],"predecessor-version":[{"id":1054293,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1054252\/revisions\/1054293"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1054291"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1054252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1054252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1054252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}