{"id":1084796,"date":"2025-01-08T13:10:26","date_gmt":"2025-01-08T05:10:26","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1084796.html"},"modified":"2025-01-08T13:10:29","modified_gmt":"2025-01-08T05:10:29","slug":"python%e5%a6%82%e4%bd%95%e9%87%8d%e6%96%b0%e5%91%bd%e5%90%8d%e5%af%bc%e5%85%a5%e7%9a%84%e5%ba%93-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1084796.html","title":{"rendered":"python\u5982\u4f55\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u7684\u5e93"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24195006\/fa4534e1-3d0e-4a51-b663-aec4940b692f.webp\" alt=\"python\u5982\u4f55\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u7684\u5e93\" \/><\/p>\n<p><p> <strong>Python\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u5e93\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528<code>as<\/code>\u5173\u952e\u5b57\u3001\u901a\u8fc7\u6a21\u5757\u7ea7\u522b\u7684\u522b\u540d\u3001\u5bfc\u5165\u7279\u5b9a\u51fd\u6570\u6216\u7c7b\u65f6\u4f7f\u7528\u522b\u540d\u3002<\/strong>\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u5728\u4ee3\u7801\u4e2d\u4f7f\u5e93\u540d\u79f0\u66f4\u7b80\u77ed\u3001\u66f4\u5177\u63cf\u8ff0\u6027\u6216\u8005\u907f\u514d\u4e0e\u5df2\u6709\u540d\u79f0\u51b2\u7a81\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u5b9e\u9645\u7684\u4ee3\u7801\u793a\u4f8b\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528 <code>as<\/code> \u5173\u952e\u5b57<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528 <code>as<\/code> \u5173\u952e\u5b57\u662f\u6700\u5e38\u89c1\u4e14\u7b80\u6d01\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5728\u5bfc\u5165\u5e93\u65f6\u76f4\u63a5\u7ed9\u5e93\u8d77\u4e00\u4e2a\u65b0\u7684\u540d\u5b57\u3002\u5728\u4ee3\u7801\u4e2d\uff0c\u8fd9\u79cd\u65b9\u5f0f\u5e38\u7528\u4e8e\u51cf\u5c11\u8f93\u5165\u91cf\u6216\u907f\u514d\u4e0e\u5c40\u90e8\u53d8\u91cf\u540d\u51b2\u7a81\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>import pandas as pd<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>numpy<\/code> \u88ab\u91cd\u547d\u540d\u4e3a <code>np<\/code>\uff0c<code>pandas<\/code> \u88ab\u91cd\u547d\u540d\u4e3a <code>pd<\/code>\uff0c<code>matplotlib.pyplot<\/code> \u88ab\u91cd\u547d\u540d\u4e3a <code>plt<\/code>\u3002\u8fd9\u4e9b\u7b80\u77ed\u7684\u522b\u540d\u4f7f\u5f97\u540e\u7eed\u4ee3\u7801\u66f4\u7b80\u6d01\u6613\u8bfb\u3002<\/p>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/h4>\n<\/p>\n<p><p>\u91cd\u65b0\u547d\u540d\u5e93\u65f6\uff0c\u9009\u62e9\u4e00\u4e2a\u7b80\u77ed\u4e14\u5177\u63cf\u8ff0\u6027\u7684\u522b\u540d\u975e\u5e38\u91cd\u8981\u3002\u6bd4\u5982\uff0c\u6211\u4eec\u901a\u5e38\u5c06 <code>numpy<\/code> \u91cd\u65b0\u547d\u540d\u4e3a <code>np<\/code>\uff0c\u56e0\u4e3a <code>np<\/code> \u662f\u793e\u533a\u516c\u8ba4\u7684\u6807\u51c6\u547d\u540d\uff0c\u8fd9\u6837\u5176\u4ed6\u5f00\u53d1\u8005\u5728\u9605\u8bfb\u4ee3\u7801\u65f6\u4f1a\u7acb\u5373\u660e\u767d <code>np<\/code> \u4ee3\u8868 <code>numpy<\/code>\u3002\u8fd9\u4e0d\u4ec5\u51cf\u5c11\u4e86\u4ee3\u7801\u7684\u5197\u957f\uff0c\u8fd8\u63d0\u9ad8\u4e86\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u7ef4\u62a4\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u901a\u8fc7\u6a21\u5757\u7ea7\u522b\u7684\u522b\u540d<\/h3>\n<\/p>\n<p><p>\u9664\u4e86\u7ed9\u6574\u4e2a\u5e93\u8d77\u522b\u540d\uff0c\u6709\u65f6\u6211\u4eec\u53ea\u9700\u8981\u7ed9\u5e93\u7684\u67d0\u4e2a\u6a21\u5757\u6216\u51fd\u6570\u8d77\u522b\u540d\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u53ea\u9700\u8981\u4f7f\u7528\u5e93\u4e2d\u7684\u67d0\u4e2a\u90e8\u5206\u65f6\uff0c\u53ef\u4ee5\u907f\u514d\u5bfc\u5165\u6574\u4e2a\u5e93\uff0c\u63d0\u9ad8\u4ee3\u7801\u6548\u7387\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">from datetime import datetime as dt<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4ece <code>datetime<\/code> \u6a21\u5757\u4e2d\u5bfc\u5165\u4e86 <code>datetime<\/code> \u7c7b\uff0c\u5e76\u5c06\u5176\u91cd\u547d\u540d\u4e3a <code>dt<\/code>\u3002\u8fd9\u6837\u5728\u4f7f\u7528 <code>datetime<\/code> \u7c7b\u65f6\uff0c\u53ea\u9700\u8981\u4f7f\u7528 <code>dt<\/code>\uff0c\u4f7f\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/h4>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u5728\u5904\u7406\u5927\u578b\u5e93\u65f6\u5c24\u5176\u6709\u7528\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u53ea\u9700\u8981\u4f7f\u7528 <code>datetime<\/code> \u6a21\u5757\u4e2d\u7684 <code>datetime<\/code> \u7c7b\uff0c\u5c31\u4e0d\u9700\u8981\u5bfc\u5165\u6574\u4e2a <code>datetime<\/code> \u6a21\u5757\uff0c\u4ece\u800c\u51cf\u5c11\u4e86\u5185\u5b58\u5360\u7528\u3002\u4f7f\u7528 <code>as<\/code> \u5173\u952e\u5b57\u91cd\u547d\u540d\u7c7b\u6216\u51fd\u6570\u4e5f\u80fd\u907f\u514d\u4e0e\u5f53\u524d\u547d\u540d\u7a7a\u95f4\u4e2d\u7684\u5176\u4ed6\u540d\u79f0\u51b2\u7a81\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u5bfc\u5165\u7279\u5b9a\u51fd\u6570\u6216\u7c7b\u65f6\u4f7f\u7528\u522b\u540d<\/h3>\n<\/p>\n<p><p>\u5f53\u4f60\u53ea\u9700\u8981\u4f7f\u7528\u5e93\u4e2d\u7684\u67d0\u4e9b\u7279\u5b9a\u51fd\u6570\u6216\u7c7b\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u5bfc\u5165\u8fd9\u4e9b\u51fd\u6570\u6216\u7c7b\u5e76\u4e3a\u5b83\u4eec\u8d77\u4e00\u4e2a\u522b\u540d\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7cbe\u7b80\uff0c\u540c\u65f6\u907f\u514d\u4e86\u5bfc\u5165\u4e0d\u5fc5\u8981\u7684\u90e8\u5206\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">from math import sqrt as square_root<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4ece <code>math<\/code> \u6a21\u5757\u4e2d\u5bfc\u5165\u4e86 <code>sqrt<\/code> \u51fd\u6570\uff0c\u5e76\u5c06\u5176\u91cd\u547d\u540d\u4e3a <code>square_root<\/code>\u3002\u8fd9\u6837\u5728\u4f7f\u7528 <code>sqrt<\/code> \u51fd\u6570\u65f6\uff0c\u53ea\u9700\u8981\u4f7f\u7528 <code>square_root<\/code>\uff0c\u4f7f\u4ee3\u7801\u66f4\u52a0\u76f4\u89c2\u3002<\/p>\n<\/p>\n<p><h4>\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/h4>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u5728\u5904\u7406\u6709\u591a\u4e2a\u540c\u540d\u51fd\u6570\u6216\u7c7b\u7684\u60c5\u51b5\u4e0b\u7279\u522b\u6709\u7528\u3002\u901a\u8fc7\u4e3a\u51fd\u6570\u6216\u7c7b\u8d77\u4e00\u4e2a\u63cf\u8ff0\u6027\u7684\u522b\u540d\uff0c\u53ef\u4ee5\u907f\u514d\u6df7\u6dc6\u3002\u4f8b\u5982\uff0c\u5728\u5904\u7406\u591a\u4e2a\u6570\u5b66\u51fd\u6570\u65f6\uff0c\u4f7f\u7528 <code>square_root<\/code> \u4ee3\u66ff <code>sqrt<\/code> \u53ef\u4ee5\u66f4\u6e05\u6670\u5730\u8868\u8fbe\u4f60\u7684\u610f\u56fe\uff0c\u4f7f\u4ee3\u7801\u66f4\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u7ed3\u5408\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u7ed3\u5408\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u6765\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u7684\u5e93\u3002\u8fd9\u53d6\u51b3\u4e8e\u9879\u76ee\u7684\u590d\u6742\u6027\u548c\u5177\u4f53\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>from pandas import DataFrame as DF<\/p>\n<p>from datetime import datetime as dt<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u7ed3\u5408\u4f7f\u7528\u4e86\u591a\u79cd\u65b9\u6cd5\uff1a\u91cd\u65b0\u547d\u540d\u6574\u4e2a\u5e93\uff08\u5982 <code>numpy<\/code>\uff09\u3001\u91cd\u65b0\u547d\u540d\u7279\u5b9a\u6a21\u5757\uff08\u5982 <code>pandas<\/code> \u4e2d\u7684 <code>DataFrame<\/code>\uff09\u3001\u91cd\u65b0\u547d\u540d\u7279\u5b9a\u7c7b\uff08\u5982 <code>datetime<\/code> \u4e2d\u7684 <code>datetime<\/code> \u7c7b\uff09\u3002\u8fd9\u79cd\u65b9\u6cd5\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u6a21\u5757\u5316\u3001\u6613\u8bfb\uff0c\u4e14\u907f\u514d\u4e86\u540d\u79f0\u51b2\u7a81\u3002<\/p>\n<\/p>\n<p><h3>\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n<p><p>\u7ed3\u5408\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u6700\u5927\u5316\u4ee3\u7801\u7684\u7b80\u6d01\u6027\u548c\u53ef\u8bfb\u6027\u3002\u4f8b\u5982\uff0c\u5728\u6570\u636e\u5904\u7406\u548c\u53ef\u89c6\u5316\u9879\u76ee\u4e2d\uff0c\u4f60\u53ef\u80fd\u4f1a\u540c\u65f6\u4f7f\u7528 <code>numpy<\/code>\u3001<code>pandas<\/code> \u548c <code>matplotlib<\/code>\u3002\u901a\u8fc7\u5206\u522b\u4e3a\u5b83\u4eec\u8d77\u522b\u540d\uff0c\u53ef\u4ee5\u907f\u514d\u540d\u79f0\u51b2\u7a81\uff0c\u540c\u65f6\u4f7f\u4ee3\u7801\u66f4\u52a0\u6613\u8bfb\u3002\u6b64\u5916\uff0c\u5728\u5927\u578b\u9879\u76ee\u4e2d\uff0c\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7ec4\u7ec7\u4ee3\u7801\u7ed3\u6784\uff0c\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u6a21\u5757\u5316\u548c\u6613\u4e8e\u7ef4\u62a4\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u5b9e\u9645\u6848\u4f8b<\/h3>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u6211\u4eec\u6765\u770b\u4e00\u4e2a\u5b9e\u9645\u6848\u4f8b\u3002\u5047\u8bbe\u6211\u4eec\u6b63\u5728\u8fdb\u884c\u4e00\u4e2a\u6570\u636e\u5206\u6790\u9879\u76ee\uff0c\u9700\u8981\u4f7f\u7528 <code>numpy<\/code>\u3001<code>pandas<\/code> \u548c <code>matplotlib<\/code> \u5e93\u8fdb\u884c\u6570\u636e\u5904\u7406\u548c\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n<p><h4>\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>import pandas as pd<\/p>\n<p>import matplotlib.pyplot as plt<\/p>\n<p>from datetime import datetime as dt<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u96c6<\/strong><\/h2>\n<p>data = {<\/p>\n<p>    &#39;date&#39;: [&#39;2021-01-01&#39;, &#39;2021-01-02&#39;, &#39;2021-01-03&#39;],<\/p>\n<p>    &#39;value&#39;: [100, 150, 200]<\/p>\n<p>}<\/p>\n<h2><strong>\u5c06\u6570\u636e\u96c6\u8f6c\u6362\u4e3a DataFrame<\/strong><\/h2>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u5c06\u5b57\u7b26\u4e32\u65e5\u671f\u8f6c\u6362\u4e3a datetime \u5bf9\u8c61<\/strong><\/h2>\n<p>df[&#39;date&#39;] = pd.to_datetime(df[&#39;date&#39;])<\/p>\n<h2><strong>\u7ed8\u5236\u6570\u636e<\/strong><\/h2>\n<p>plt.plot(df[&#39;date&#39;], df[&#39;value&#39;])<\/p>\n<p>plt.xlabel(&#39;Date&#39;)<\/p>\n<p>plt.ylabel(&#39;Value&#39;)<\/p>\n<p>plt.title(&#39;Sample Data&#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\u4f7f\u7528\u4e86 <code>numpy<\/code> \u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c<code>pandas<\/code> \u8fdb\u884c\u6570\u636e\u5904\u7406\uff0c<code>matplotlib<\/code> \u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002\u901a\u8fc7\u4e3a\u8fd9\u4e9b\u5e93\u8d77\u522b\u540d\uff0c\u6211\u4eec\u7684\u4ee3\u7801\u53d8\u5f97\u66f4\u52a0\u7b80\u6d01\u3001\u6613\u8bfb\uff0c\u5e76\u4e14\u907f\u514d\u4e86\u540d\u79f0\u51b2\u7a81\u3002<\/p>\n<\/p>\n<p><h3>\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u7684\u5e93\u662f Python \u7f16\u7a0b\u4e2d\u7684\u5e38\u89c1\u64cd\u4f5c\u3002\u4f7f\u7528 <code>as<\/code> \u5173\u952e\u5b57\u3001\u901a\u8fc7\u6a21\u5757\u7ea7\u522b\u7684\u522b\u540d\u3001\u5bfc\u5165\u7279\u5b9a\u51fd\u6570\u6216\u7c7b\u65f6\u4f7f\u7528\u522b\u540d\uff0c\u4ee5\u53ca\u7ed3\u5408\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u90fd\u662f\u5b9e\u73b0\u8fd9\u4e00\u64cd\u4f5c\u7684\u6709\u6548\u65b9\u6cd5\u3002\u901a\u8fc7\u5408\u7406\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4f7f\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3001\u6613\u8bfb\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u7ef4\u62a4\u6027\u548c\u6548\u7387\u3002\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u9075\u5faa\u793e\u533a\u7684\u547d\u540d\u7ea6\u5b9a\uff0c\u80fd\u591f\u4f7f\u4f60\u7684\u4ee3\u7801\u66f4\u52a0\u4e13\u4e1a\u548c\u89c4\u8303\u3002<\/p>\n<\/p>\n<p><p>\u65e0\u8bba\u662f\u6570\u636e\u5206\u6790\u3001<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u8fd8\u662f\u5176\u4ed6\u9886\u57df\u7684\u9879\u76ee\uff0c\u5408\u7406\u5730\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u7684\u5e93\uff0c\u90fd\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7ec4\u7ec7\u4ee3\u7801\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5e94\u7528\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f7f\u4f60\u7684\u7f16\u7a0b\u66f4\u52a0\u9ad8\u6548\u548c\u4e13\u4e1a\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5bfc\u5165\u5e93\u65f6\u4f7f\u7528\u522b\u540d\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>import<\/code>\u8bed\u53e5\u7684<code>as<\/code>\u5173\u952e\u5b57\u4e3a\u5bfc\u5165\u7684\u5e93\u6307\u5b9a\u4e00\u4e2a\u522b\u540d\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u60f3\u5bfc\u5165NumPy\u5e93\u5e76\u5c06\u5176\u547d\u540d\u4e3a<code>np<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<code>import numpy as np<\/code>\u3002\u8fd9\u6837\uff0c\u4f60\u5728\u4ee3\u7801\u4e2d\u5c31\u53ef\u4ee5\u4f7f\u7528<code>np<\/code>\u6765\u4ee3\u66ff<code>numpy<\/code>\uff0c\u8fd9\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<p><strong>\u4e3a\u4ec0\u4e48\u9700\u8981\u4e3a\u5bfc\u5165\u7684\u5e93\u4f7f\u7528\u522b\u540d\uff1f<\/strong><br \/>\u4f7f\u7528\u522b\u540d\u53ef\u4ee5\u4f7f\u4ee3\u7801\u66f4\u5177\u53ef\u8bfb\u6027\u548c\u7b80\u6d01\u6027\uff0c\u7279\u522b\u662f\u5728\u9891\u7e41\u8c03\u7528\u5e93\u51fd\u6570\u65f6\u3002\u4f8b\u5982\uff0cNumPy\u548cPandas\u7b49\u5e93\u7684\u540d\u79f0\u8f83\u957f\uff0c\u4f7f\u7528\u7b80\u77ed\u7684\u522b\u540d\u53ef\u4ee5\u51cf\u5c11\u4ee3\u7801\u7684\u590d\u6742\u5ea6\u3002\u6b64\u5916\uff0c\u907f\u514d\u540d\u79f0\u51b2\u7a81\u4e5f\u662f\u4f7f\u7528\u522b\u540d\u7684\u91cd\u8981\u539f\u56e0\u3002\u901a\u8fc7\u4f7f\u7528\u522b\u540d\uff0c\u53ef\u4ee5\u786e\u4fdd\u5728\u540c\u4e00\u4ee3\u7801\u6587\u4ef6\u4e2d\u4f7f\u7528\u4e0d\u540c\u5e93\u65f6\u4e0d\u4f1a\u4ea7\u751f\u6df7\u6dc6\u3002<\/p>\n<p><strong>\u5982\u4f55\u67e5\u770b\u5df2\u5bfc\u5165\u5e93\u7684\u522b\u540d\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u67e5\u770b\u5df2\u5bfc\u5165\u5e93\u7684\u522b\u540d\u5e76\u6ca1\u6709\u5185\u7f6e\u7684\u76f4\u63a5\u65b9\u6cd5\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u6253\u5370\u51fa\u5e93\u7684\u540d\u79f0\u6765\u63a8\u65ad\u3002\u4f8b\u5982\uff0c\u5bfc\u5165\u5e93\u540e\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u6253\u5370<code>numpy<\/code>\u6216\u5176\u4ed6\u5e93\u7684\u522b\u540d\u6765\u786e\u8ba4\u5b83\u4eec\u662f\u5426\u6b63\u786e\u5bfc\u5165\u3002\u4f7f\u7528<code>print(np)<\/code>\u6765\u67e5\u770bNumPy\u5e93\u7684\u522b\u540d<code>np<\/code>\u662f\u5426\u6709\u6548\uff0c\u5982\u679c\u6ca1\u6709\u9519\u8bef\u6d88\u606f\uff0c\u8bf4\u660e\u522b\u540d\u5df2\u6210\u529f\u521b\u5efa\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u91cd\u65b0\u547d\u540d\u5bfc\u5165\u5e93\u7684\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528as\u5173\u952e\u5b57\u3001\u901a\u8fc7\u6a21\u5757\u7ea7\u522b\u7684\u522b\u540d\u3001\u5bfc\u5165\u7279\u5b9a\u51fd\u6570\u6216\u7c7b\u65f6\u4f7f\u7528\u522b\u540d\u3002\u8fd9\u4e9b\u65b9\u6cd5\u80fd [&hellip;]","protected":false},"author":3,"featured_media":1084808,"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\/1084796"}],"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=1084796"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1084796\/revisions"}],"predecessor-version":[{"id":1084812,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1084796\/revisions\/1084812"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1084808"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1084796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1084796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1084796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}