{"id":949876,"date":"2024-12-27T00:18:23","date_gmt":"2024-12-26T16:18:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/949876.html"},"modified":"2024-12-27T00:18:24","modified_gmt":"2024-12-26T16:18:24","slug":"python%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5plt","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/949876.html","title":{"rendered":"python\u5982\u4f55\u5bfc\u5165plt"},"content":{"rendered":"

\"python\u5982\u4f55\u5bfc\u5165plt\"<\/p>\n

\u8981\u5bfc\u5165plt\u6a21\u5757\uff0c\u53ef\u4ee5\u4f7f\u7528import matplotlib.pyplot as plt\u3001\u786e\u4fdd\u5df2\u5b89\u88c5matplotlib\u5e93\u3001\u4f7f\u7528plt.plot()\u8fdb\u884c\u7ed8\u56fe\u3001\u8bbe\u7f6e\u56fe\u5f62\u5c5e\u6027\u7b49<\/strong>\u3002\u5176\u4e2d\uff0c\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u662f\u4f7f\u7528import matplotlib.pyplot as plt<\/code>\u6765\u5bfc\u5165\u3002matplotlib<\/code>\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u800cpyplot<\/code>\u662fmatplotlib\u4e2d\u7684\u4e00\u4e2a\u5b50\u6a21\u5757\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u79cd\u548cMATLAB\u7c7b\u4f3c\u7684\u7ed8\u56fe\u63a5\u53e3\u3002\u901a\u8fc7\u5f15\u5165pyplot<\/code>\u5e76\u4f7f\u7528plt<\/code>\u4f5c\u4e3a\u522b\u540d\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8c03\u7528\u7ed8\u56fe\u51fd\u6570\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n

\u8981\u8be6\u7ec6\u4e86\u89e3\u5982\u4f55\u5bfc\u5165\u548c\u4f7f\u7528plt<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u5206\u51e0\u4e2a\u65b9\u9762\u8fdb\u884c\u8ba8\u8bba\uff1a<\/p>\n<\/p>\n

\u4e00\u3001MATPLOTLIB\u7684\u5b89\u88c5\u4e0e\u57fa\u672c\u5bfc\u5165<\/p>\n<\/p>\n

\u5728\u4f7f\u7528plt<\/code>\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86matplotlib<\/code>\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u5c31\u53ef\u4ee5\u5728Python\u811a\u672c\u6216\u4ea4\u4e92\u5f0f\u73af\u5883\u4e2d\u5bfc\u5165pyplot<\/code>\u6a21\u5757\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\u5bfc\u5165\u540e\uff0cplt<\/code>\u5c31\u4f5c\u4e3apyplot<\/code>\u7684\u4e00\u4e2a\u7b80\u5316\u5f15\u7528\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4f7f\u7528\u8be5\u6a21\u5757\u63d0\u4f9b\u7684\u5404\u79cd\u7ed8\u56fe\u529f\u80fd\u3002<\/p>\n<\/p>\n
\u4e8c\u3001PLT\u6a21\u5757\u7684\u57fa\u672c\u7ed8\u56fe\u529f\u80fd<\/p>\n<\/p>\n
plt<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u5176\u4e2d\u6700\u57fa\u7840\u7684\u662f\u6298\u7ebf\u56fe\u7ed8\u5236\u3002\u53ef\u4ee5\u4f7f\u7528plt.plot()<\/code>\u51fd\u6570\u7ed8\u5236\u7b80\u5355\u7684\u4e8c\u7ef4\u56fe\u5f62\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
x = [1, 2, 3, 4]<\/p>\n
y = [10, 20, 25, 30]<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xlabel('x-axis')<\/p>\n
plt.ylabel('y-axis')<\/p>\n
plt.title('Simple Plot')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cplt.plot()<\/code>\u51fd\u6570\u7528\u4e8e\u521b\u5efa\u6298\u7ebf\u56fe\uff0cplt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u5206\u522b\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u6807\u7b7e\uff0cplt.title()<\/code>\u7528\u4e8e\u8bbe\u7f6e\u56fe\u5f62\u7684\u6807\u9898\uff0c\u6700\u540e\u4f7f\u7528plt.show()<\/code>\u663e\u793a\u7ed8\u5236\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u8bbe\u7f6e\u56fe\u5f62\u5c5e\u6027<\/p>\n<\/p>\n
\u4f7f\u7528plt<\/code>\u6a21\u5757\u7ed8\u56fe\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u591a\u79cd\u56fe\u5f62\u5c5e\u6027\u4ee5\u5b9e\u73b0\u66f4\u7cbe\u7ec6\u7684\u63a7\u5236\u3002\u5e38\u89c1\u7684\u8bbe\u7f6e\u5305\u62ec\u989c\u8272\u3001\u7ebf\u578b\u3001\u6807\u8bb0\u6837\u5f0f\u7b49\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.plot(x, y, color='green', linestyle='dashed', marker='o', markerfacecolor='red', markersize=10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u91cc\uff0ccolor<\/code>\u53c2\u6570\u8bbe\u7f6e\u7ebf\u7684\u989c\u8272\uff0clinestyle<\/code>\u8bbe\u7f6e\u7ebf\u578b\uff0cmarker<\/code>\u8bbe\u7f6e\u6570\u636e\u70b9\u7684\u6807\u8bb0\u6837\u5f0f\uff0cmarkerfacecolor<\/code>\u8bbe\u7f6e\u6807\u8bb0\u7684\u586b\u5145\u8272\uff0cmarkersize<\/code>\u8bbe\u7f6e\u6807\u8bb0\u7684\u5927\u5c0f\u3002<\/p>\n<\/p>\n
\u56db\u3001\u591a\u56fe\u7ed8\u5236<\/p>\n<\/p>\n
plt<\/code>\u6a21\u5757\u4e0d\u4ec5\u53ef\u4ee5\u7ed8\u5236\u5355\u4e00\u56fe\u5f62\uff0c\u8fd8\u53ef\u4ee5\u5728\u540c\u4e00\u4e2a\u56fe\u4e2d\u7ed8\u5236\u591a\u4e2a\u56fe\u5f62\u3002\u901a\u8fc7\u5728\u7ed8\u5236\u6bcf\u4e2a\u56fe\u5f62\u65f6\u8c03\u7528plt.plot()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u5b9e\u73b0\u591a\u56fe\u7ed8\u5236\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
x1 = [1, 2, 3, 4]<\/p>\n
y1 = [10, 20, 25, 30]<\/p>\n
x2 = [1, 2, 3, 4]<\/p>\n
y2 = [30, 25, 20, 15]<\/p>\n
plt.plot(x1, y1, label='Line 1')<\/p>\n
plt.plot(x2, y2, label='Line 2')<\/p>\n
plt.xlabel('x-axis')<\/p>\n
plt.ylabel('y-axis')<\/p>\n
plt.title('Multiple Lines')<\/p>\n
plt.legend()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528\u5b50\u56fe<\/p>\n<\/p>\n
plt<\/code>\u6a21\u5757\u8fd8\u652f\u6301\u5728\u540c\u4e00\u4e2a\u7a97\u53e3\u4e2d\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u4ee5\u4fbf\u6bd4\u8f83\u4e0d\u540c\u7684\u6570\u636e\u96c6\u3002\u53ef\u4ee5\u4f7f\u7528plt.subplot()<\/code>\u51fd\u6570\u6307\u5b9a\u5b50\u56fe\u7684\u884c\u6570\u3001\u5217\u6570\u548c\u5f53\u524d\u5b50\u56fe\u7684\u7f16\u53f7\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.subplot(2, 1, 1)<\/p>\n
plt.plot(x1, y1, 'r--')<\/p>\n
plt.title('First Subplot')<\/p>\n
plt.subplot(2, 1, 2)<\/p>\n
plt.plot(x2, y2, 'g*-')<\/p>\n
plt.title('Second Subplot')<\/p>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cplt.subplot()<\/code>\u51fd\u6570\u7528\u4e8e\u521b\u5efa2\u884c1\u5217\u7684\u5b50\u56fe\u5e03\u5c40\uff0c\u5e76\u5206\u522b\u7ed8\u5236\u4e24\u4e2a\u4e0d\u540c\u7684\u56fe\u5f62\u3002plt.tight_layout()<\/code>\u51fd\u6570\u7528\u4e8e\u81ea\u52a8\u8c03\u6574\u5b50\u56fe\u95f4\u7684\u95f4\u8ddd\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4fdd\u5b58\u56fe\u5f62<\/p>\n<\/p>\n
\u6700\u540e\uff0cplt<\/code>\u6a21\u5757\u5141\u8bb8\u5c06\u7ed8\u5236\u7684\u56fe\u5f62\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002\u53ef\u4ee5\u4f7f\u7528plt.savefig()<\/code>\u51fd\u6570\u6307\u5b9a\u6587\u4ef6\u540d\u548c\u683c\u5f0f\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.savefig('plot.png')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6837\u5c31\u53ef\u4ee5\u5c06\u7ed8\u5236\u7684\u56fe\u5f62\u4fdd\u5b58\u4e3aPNG\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u8fd8\u53ef\u4ee5\u6307\u5b9a\u5176\u4ed6\u683c\u5f0f\uff0c\u5982PDF\u3001SVG\u7b49\u3002<\/p>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0cplt<\/code>\u6a21\u5757\u662fPython\u4e2d\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u7ed8\u56fe\u5de5\u5177\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5e2e\u52a9\u7528\u6237\u521b\u5efa\u5404\u79cd\u56fe\u5f62\u3002\u901a\u8fc7\u5bfc\u5165matplotlib.pyplot<\/code>\u5e76\u4f7f\u7528plt<\/code>\u4f5c\u4e3a\u522b\u540d\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u4f7f\u7528\u8fd9\u4e9b\u529f\u80fd\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u60a8\u80fd\u591f\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528plt<\/code>\u6a21\u5757\u8fdb\u884c\u7ed8\u56fe\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5Matplotlib\u5e93\u4ee5\u4f7f\u7528plt\uff1f<\/strong>
\u5728\u4f7f\u7528plt\u4e4b\u524d\uff0c\u60a8\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4\u884c\u8fd0\u884cpip install matplotlib<\/code>\u6765\u5b8c\u6210\u5b89\u88c5\u3002\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u5c31\u53ef\u4ee5\u5728Python\u4ee3\u7801\u4e2d\u5bfc\u5165plt\u3002<\/p>\n
\u5728Python\u4ee3\u7801\u4e2d\u5bfc\u5165plt\u65f6\u9700\u8981\u6ce8\u610f\u4ec0\u4e48\uff1f<\/strong>
\u5728\u5bfc\u5165Matplotlib\u7684pyplot\u6a21\u5757\u65f6\uff0c\u901a\u5e38\u4f7f\u7528import matplotlib.pyplot as plt<\/code>\u3002\u786e\u4fdd\u5728\u5bfc\u5165\u4e4b\u524d\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\uff0c\u5e76\u4e14\u5728\u4ee3\u7801\u7684\u5f00\u5934\u8fdb\u884c\u5bfc\u5165\uff0c\u8fd9\u6837\u53ef\u4ee5\u907f\u514d\u8fd0\u884c\u65f6\u9519\u8bef\u3002<\/p>\n
\u4f7f\u7528plt\u7ed8\u5236\u56fe\u8868\u65f6\uff0c\u6709\u54ea\u4e9b\u5e38\u89c1\u7684\u51fd\u6570\u53ef\u4ee5\u4f7f\u7528\uff1f<\/strong>
\u4f7f\u7528plt\u7ed8\u5236\u56fe\u8868\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u51fd\u6570\uff0c\u4f8b\u5982plt.plot()<\/code>\u7528\u4e8e\u7ed8\u5236\u7ebf\u56fe\uff0cplt.scatter()<\/code>\u7528\u4e8e\u7ed8\u5236\u6563\u70b9\u56fe\uff0cplt.bar()<\/code>\u7528\u4e8e\u7ed8\u5236\u67f1\u72b6\u56fe\u7b49\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528plt.title()<\/code>\u3001plt.xlabel()<\/code>\u548cplt.ylabel()<\/code>\u7b49\u51fd\u6570\u6765\u6dfb\u52a0\u6807\u9898\u548c\u6807\u7b7e\uff0c\u589e\u5f3a\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5bfc\u5165plt\u6a21\u5757\uff0c\u53ef\u4ee5\u4f7f\u7528import matplotlib.pyplot as plt\u3001\u786e\u4fdd\u5df2\u5b89\u88c5matpl […]","protected":false},"author":3,"featured_media":949877,"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\/949876"}],"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=949876"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949876\/revisions"}],"predecessor-version":[{"id":949878,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/949876\/revisions\/949878"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/949877"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=949876"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=949876"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=949876"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}