{"id":2879,"date":"2024-11-23T22:26:01","date_gmt":"2024-11-23T14:26:01","guid":{"rendered":"http:\/\/viplao.com\/?p=2879"},"modified":"2024-11-23T22:26:03","modified_gmt":"2024-11-23T14:26:03","slug":"python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98","status":"publish","type":"post","link":"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/","title":{"rendered":"PYTHON\u57fa\u7840\u6280\u80fd \u2013\u00a0Python\u91d1\u878d\u6570\u636e\u5206\u6790\uff1a10\u4e2a\u91d1\u878d\u6570\u636e\u6316\u6398\u7684\u6280\u5de7"},"content":{"rendered":"\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_71 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">\u6587\u7ae0\u76ee\u5f55<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 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href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#1_%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97\" title=\"1. \u6570\u636e\u6e05\u6d17\">1. \u6570\u636e\u6e05\u6d17<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#2_%E5%BC%82%E5%B8%B8%E5%80%BC%E6%A3%80%E6%B5%8B\" title=\"2. \u5f02\u5e38\u503c\u68c0\u6d4b\">2. \u5f02\u5e38\u503c\u68c0\u6d4b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#3_%E6%95%B0%E6%8D%AE%E6%A0%87%E5%87%86%E5%8C%96\" title=\"3. \u6570\u636e\u6807\u51c6\u5316\">3. \u6570\u636e\u6807\u51c6\u5316<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#4_%E7%89%B9%E5%BE%81%E9%80%89%E6%8B%A9\" title=\"4. \u7279\u5f81\u9009\u62e9\">4. \u7279\u5f81\u9009\u62e9<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#5_%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E5%88%86%E6%9E%90\" title=\"5. \u65f6\u95f4\u5e8f\u5217\u5206\u6790\">5. \u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#6_%E7%A7%BB%E5%8A%A8%E5%B9%B3%E5%9D%87\" title=\"6. \u79fb\u52a8\u5e73\u5747\">6. \u79fb\u52a8\u5e73\u5747<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#7_%E8%87%AA%E7%9B%B8%E5%85%B3%E5%92%8C%E5%81%8F%E8%87%AA%E7%9B%B8%E5%85%B3\" title=\"7. \u81ea\u76f8\u5173\u548c\u504f\u81ea\u76f8\u5173\">7. \u81ea\u76f8\u5173\u548c\u504f\u81ea\u76f8\u5173<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#8_ARIMA%E6%A8%A1%E5%9E%8B\" title=\"8. ARIMA\u6a21\u578b\">8. ARIMA\u6a21\u578b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#9_%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90\" title=\"9. \u56de\u5f52\u5206\u6790\">9. \u56de\u5f52\u5206\u6790<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#10_%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E6%A8%A1%E5%9E%8B\" title=\"10. \u673a\u5668\u5b66\u4e60\u6a21\u578b\">10. \u673a\u5668\u5b66\u4e60\u6a21\u578b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#%E5%AE%9E%E6%88%98%E6%A1%88%E4%BE%8B%EF%BC%9A%E8%82%A1%E7%A5%A8%E4%BB%B7%E6%A0%BC%E9%A2%84%E6%B5%8B\" title=\"\u5b9e\u6218\u6848\u4f8b\uff1a\u80a1\u7968\u4ef7\u683c\u9884\u6d4b\">\u5b9e\u6218\u6848\u4f8b\uff1a\u80a1\u7968\u4ef7\u683c\u9884\u6d4b<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/#%E6%80%BB%E7%BB%93\" title=\"\u603b\u7ed3\">\u603b\u7ed3<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E6%96%87%E7%AB%A0%E5%BC%95%E8%A8%80\"><\/span><strong>\u6587\u7ae0\u5f15\u8a00<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u5728\u91d1\u878d\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6570\u636e\u7684\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u5230\u6700\u7ec8\u5206\u6790\u7ed3\u679c\u7684\u51c6\u786e\u6027\u4e0e\u53ef\u9760\u6027\u3002\u4ece\u6570\u636e\u6e05\u6d17\u3001\u5f02\u5e38\u503c\u68c0\u6d4b\u5230\u6570\u636e\u6807\u51c6\u5316\uff0c\u518d\u5230\u7279\u5f81\u9009\u62e9\u4ee5\u53ca\u5404\u79cd\u9884\u6d4b\u6a21\u578b\u7684\u5e94\u7528\uff0c\u6bcf\u4e2a\u6b65\u9aa4\u90fd\u662f\u786e\u4fdd\u6700\u7ec8\u9884\u6d4b\u51c6\u786e\u6027\u7684\u5173\u952e\u73af\u8282\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u5e76\u901a\u8fc7\u5b9e\u6218\u6848\u4f8b\u5c55\u793a\u5982\u4f55\u5229\u7528\u5386\u53f2\u6570\u636e\u9884\u6d4b\u80a1\u7968\u4ef7\u683c\u3002<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"1_%E6%95%B0%E6%8D%AE%E6%B8%85%E6%B4%97\"><\/span><strong>1. \u6570\u636e\u6e05\u6d17<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u5728\u91d1\u878d\u9886\u57df\uff0c\u6570\u636e\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u5206\u6790\u7ed3\u679c\u3002\u56e0\u6b64\uff0c\u6570\u636e\u6e05\u6d17\u662f\u7b2c\u4e00\u6b65\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import&nbsp;pandas&nbsp;as&nbsp;pd<br><br><em>#&nbsp;\u52a0\u8f7d\u6570\u636e<\/em><br>df&nbsp;=&nbsp;pd.read_csv('financial_data.csv')<br><br><em>#&nbsp;\u68c0\u67e5\u7f3a\u5931\u503c<\/em><br>print(df.isnull().sum())<br><br><em>#&nbsp;\u5220\u9664\u7f3a\u5931\u503c<\/em><br>df&nbsp;=&nbsp;df.dropna()<br><br><em>#&nbsp;\u67e5\u770b\u6e05\u6d17\u540e\u7684\u6570\u636e<\/em><br>print(df.head())<\/code><\/pre>\n\n\n\n<p><strong>\u8f93\u51fa\u7ed3\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>column1&nbsp;&nbsp;&nbsp;&nbsp;0<br>column2&nbsp;&nbsp;&nbsp;&nbsp;0<br>column3&nbsp;&nbsp;&nbsp;&nbsp;0<br>column4&nbsp;&nbsp;&nbsp;&nbsp;0<br>column5&nbsp;&nbsp;&nbsp;&nbsp;0<br>dtype:&nbsp;int64<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>pd.read_csv<\/code>\u7528\u4e8e\u52a0\u8f7dCSV\u6587\u4ef6\u3002<\/li>\n\n\n\n<li><code>isnull().sum()<\/code>\u7528\u4e8e\u68c0\u67e5\u7f3a\u5931\u503c\u3002<\/li>\n\n\n\n<li><code>dropna()<\/code>\u7528\u4e8e\u5220\u9664\u7f3a\u5931\u503c\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"2_%E5%BC%82%E5%B8%B8%E5%80%BC%E6%A3%80%E6%B5%8B\"><\/span><strong>2. \u5f02\u5e38\u503c\u68c0\u6d4b<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u5f02\u5e38\u503c\u53ef\u80fd\u4f1a\u5f71\u54cd\u5206\u6790\u7ed3\u679c\u3002\u56e0\u6b64\uff0c\u68c0\u6d4b\u5e76\u5904\u7406\u5f02\u5e38\u503c\u975e\u5e38\u91cd\u8981\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em>#&nbsp;\u8ba1\u7b97\u56db\u5206\u4f4d\u6570<\/em><br>Q1&nbsp;=&nbsp;df.quantile(0.25)<br>Q3&nbsp;=&nbsp;df.quantile(0.75)<br><br><em>#&nbsp;\u8ba1\u7b97IQR<\/em><br>IQR&nbsp;=&nbsp;Q3&nbsp;-&nbsp;Q1<br><br><em>#&nbsp;\u68c0\u6d4b\u5f02\u5e38\u503c<\/em><br>outliers&nbsp;=&nbsp;((df&nbsp;&lt;&nbsp;(Q1&nbsp;-&nbsp;1.5&nbsp;*&nbsp;IQR))&nbsp;|&nbsp;(df&nbsp;&gt;&nbsp;(Q3&nbsp;+&nbsp;1.5&nbsp;*&nbsp;IQR)))<br><br><em>#&nbsp;\u5220\u9664\u5f02\u5e38\u503c<\/em><br>df&nbsp;=&nbsp;df&#91;~outliers.any(axis=1)]<br><br><em>#&nbsp;\u67e5\u770b\u5904\u7406\u540e\u7684\u6570\u636e<\/em><br>print(df.head())<\/code><\/pre>\n\n\n\n<p><strong>\u8f93\u51fa\u7ed3\u679c\uff1a<\/strong><\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>column1&nbsp;&nbsp;column2&nbsp;&nbsp;column3&nbsp;&nbsp;column4&nbsp;&nbsp;column5<br>0&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;1.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;4.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5.5<br>1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;4.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6.5<br>2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;3.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;4.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;7.5<br>3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;4.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;7.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8.5<br>4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;5.1&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6.2&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;7.3&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;8.4&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;9.5<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>quantile<\/code>\u7528\u4e8e\u8ba1\u7b97\u56db\u5206\u4f4d\u6570\u3002<\/li>\n\n\n\n<li><code>IQR<\/code>\u7528\u4e8e\u8ba1\u7b97\u56db\u5206\u4f4d\u8ddd\u3002<\/li>\n\n\n\n<li><code>outliers<\/code>\u7528\u4e8e\u68c0\u6d4b\u5f02\u5e38\u503c\u3002<\/li>\n\n\n\n<li><code>~outliers.any(axis=1)<\/code>\u7528\u4e8e\u5220\u9664\u5f02\u5e38\u503c\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"3_%E6%95%B0%E6%8D%AE%E6%A0%87%E5%87%86%E5%8C%96\"><\/span><strong>3. \u6570\u636e\u6807\u51c6\u5316<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u6807\u51c6\u5316\u6570\u636e\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;sklearn.preprocessing&nbsp;import&nbsp;StandardScaler<br><br>scaler&nbsp;=&nbsp;StandardScaler()<br>df_scaled&nbsp;=&nbsp;scaler.fit_transform(df)<br><br><em>#&nbsp;\u8f6c\u6362\u4e3aDataFrame<\/em><br>df_scaled&nbsp;=&nbsp;pd.DataFrame(df_scaled,&nbsp;columns=df.columns)<br><br><em>#&nbsp;\u67e5\u770b\u6807\u51c6\u5316\u540e\u7684\u6570\u636e<\/em><br>print(df_scaled.head())<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>StandardScaler<\/code>\u7528\u4e8e\u6807\u51c6\u5316\u6570\u636e\u3002<\/li>\n\n\n\n<li><code>fit_transform<\/code>\u7528\u4e8e\u62df\u5408\u5e76\u8f6c\u6362\u6570\u636e\u3002<\/li>\n\n\n\n<li><code>DataFrame<\/code>\u7528\u4e8e\u5c06\u6570\u636e\u8f6c\u6362\u4e3aDataFrame\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"4_%E7%89%B9%E5%BE%81%E9%80%89%E6%8B%A9\"><\/span><strong>4. \u7279\u5f81\u9009\u62e9<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u7279\u5f81\u9009\u62e9\u53ef\u4ee5\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;sklearn.feature_selection&nbsp;import&nbsp;SelectKBest,&nbsp;f_regression<br><br>X&nbsp;=&nbsp;df.drop('target',&nbsp;axis=1)<br>y&nbsp;=&nbsp;df&#91;'target']<br><br>selector&nbsp;=&nbsp;SelectKBest(score_func=f_regression,&nbsp;k=3)<br>X_new&nbsp;=&nbsp;selector.fit_transform(X,&nbsp;y)<br><br><em>#&nbsp;\u67e5\u770b\u9009\u62e9\u540e\u7684\u7279\u5f81<\/em><br>selected_features&nbsp;=&nbsp;X.columns&#91;selector.get_support()]<br>print(selected_features)<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>SelectKBest<\/code>\u7528\u4e8e\u9009\u62e9\u6700\u4f73\u7279\u5f81\u3002<\/li>\n\n\n\n<li><code>f_regression<\/code>\u7528\u4e8e\u8ba1\u7b97\u56de\u5f52\u5f97\u5206\u3002<\/li>\n\n\n\n<li><code>fit_transform<\/code>\u7528\u4e8e\u62df\u5408\u5e76\u8f6c\u6362\u6570\u636e\u3002<\/li>\n\n\n\n<li><code>get_support<\/code>\u7528\u4e8e\u83b7\u53d6\u652f\u6301\u5411\u91cf\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"5_%E6%97%B6%E9%97%B4%E5%BA%8F%E5%88%97%E5%88%86%E6%9E%90\"><\/span><strong>5. \u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u5728\u91d1\u878d\u6570\u636e\u5206\u6790\u4e2d\uff0c\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u662f\u975e\u5e38\u91cd\u8981\u7684\u90e8\u5206\u3002\u8fd9\u6709\u52a9\u4e8e\u9884\u6d4b\u672a\u6765\u8d8b\u52bf\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import&nbsp;matplotlib.pyplot&nbsp;as&nbsp;plt<br><br><em>#&nbsp;\u52a0\u8f7d\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/em><br>ts&nbsp;=&nbsp;pd.read_csv('stock_prices.csv',&nbsp;parse_dates=&#91;'Date'],&nbsp;index_col='Date')<br><br><em>#&nbsp;\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\u56fe<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.plot(ts&#91;'Close'])<br>plt.title('Stock&nbsp;Prices')<br>plt.xlabel('Date')<br>plt.ylabel('Price')<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>parse_dates<\/code>\u7528\u4e8e\u89e3\u6790\u65e5\u671f\u5217\u3002<\/li>\n\n\n\n<li><code>index_col<\/code>\u7528\u4e8e\u8bbe\u7f6e\u7d22\u5f15\u5217\u3002<\/li>\n\n\n\n<li><code>plot<\/code>\u7528\u4e8e\u7ed8\u5236\u65f6\u95f4\u5e8f\u5217\u56fe\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"6_%E7%A7%BB%E5%8A%A8%E5%B9%B3%E5%9D%87\"><\/span><strong>6. \u79fb\u52a8\u5e73\u5747<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u79fb\u52a8\u5e73\u5747\u53ef\u4ee5\u5e2e\u52a9\u5e73\u6ed1\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u4ece\u800c\u66f4\u5bb9\u6613\u8bc6\u522b\u8d8b\u52bf\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em>#&nbsp;\u8ba1\u7b97\u79fb\u52a8\u5e73\u5747<\/em><br>ts&#91;'MA_5']&nbsp;=&nbsp;ts&#91;'Close'].rolling(window=5).mean()<br>ts&#91;'MA_20']&nbsp;=&nbsp;ts&#91;'Close'].rolling(window=20).mean()<br><br><em>#&nbsp;\u7ed8\u5236\u79fb\u52a8\u5e73\u5747\u56fe<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.plot(ts&#91;'Close'],&nbsp;label='Close&nbsp;Price')<br>plt.plot(ts&#91;'MA_5'],&nbsp;label='5-day&nbsp;MA')<br>plt.plot(ts&#91;'MA_20'],&nbsp;label='20-day&nbsp;MA')<br>plt.title('Stock&nbsp;Prices&nbsp;with&nbsp;Moving&nbsp;Averages')<br>plt.xlabel('Date')<br>plt.ylabel('Price')<br>plt.legend()<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>rolling<\/code>\u7528\u4e8e\u8ba1\u7b97\u6eda\u52a8\u7a97\u53e3\u3002<\/li>\n\n\n\n<li><code>mean<\/code>\u7528\u4e8e\u8ba1\u7b97\u5747\u503c\u3002<\/li>\n\n\n\n<li><code>plot<\/code>\u7528\u4e8e\u7ed8\u5236\u79fb\u52a8\u5e73\u5747\u56fe\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"7_%E8%87%AA%E7%9B%B8%E5%85%B3%E5%92%8C%E5%81%8F%E8%87%AA%E7%9B%B8%E5%85%B3\"><\/span><strong>7. \u81ea\u76f8\u5173\u548c\u504f\u81ea\u76f8\u5173<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u81ea\u76f8\u5173\u548c\u504f\u81ea\u76f8\u5173\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u4e86\u89e3\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u4e2d\u7684\u7ebf\u6027\u5173\u7cfb\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;statsmodels.graphics.tsaplots&nbsp;import&nbsp;plot_acf,&nbsp;plot_pacf<br><br><em>#&nbsp;\u7ed8\u5236\u81ea\u76f8\u5173\u56fe<\/em><br>plt.figure(figsize=(12,&nbsp;6))<br>plot_acf(ts&#91;'Close'],&nbsp;lags=30)<br>plt.title('Autocorrelation&nbsp;of&nbsp;Stock&nbsp;Prices')<br>plt.show()<br><br><em>#&nbsp;\u7ed8\u5236\u504f\u81ea\u76f8\u5173\u56fe<\/em><br>plt.figure(figsize=(12,&nbsp;6))<br>plot_pacf(ts&#91;'Close'],&nbsp;lags=30)<br>plt.title('Partial&nbsp;Autocorrelation&nbsp;of&nbsp;Stock&nbsp;Prices')<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>plot_acf<\/code>\u7528\u4e8e\u7ed8\u5236\u81ea\u76f8\u5173\u56fe\u3002<\/li>\n\n\n\n<li><code>plot_pacf<\/code>\u7528\u4e8e\u7ed8\u5236\u504f\u81ea\u76f8\u5173\u56fe\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"8_ARIMA%E6%A8%A1%E5%9E%8B\"><\/span><strong>8. ARIMA\u6a21\u578b<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>ARIMA\u6a21\u578b\u662f\u4e00\u79cd\u5e38\u7528\u7684\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u65b9\u6cd5\uff0c\u9002\u7528\u4e8e\u5e73\u7a33\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;statsmodels.tsa.arima.model&nbsp;import&nbsp;ARIMA<br><br><em>#&nbsp;\u8bad\u7ec3ARIMA\u6a21\u578b<\/em><br>model&nbsp;=&nbsp;ARIMA(ts&#91;'Close'],&nbsp;order=(1,&nbsp;1,&nbsp;0))<br>model_fit&nbsp;=&nbsp;model.fit()<br><br><em>#&nbsp;\u9884\u6d4b\u672a\u6765\u6570\u636e<\/em><br>forecast&nbsp;=&nbsp;model_fit.forecast(steps=30)<br><br><em>#&nbsp;\u7ed8\u5236\u9884\u6d4b\u7ed3\u679c<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.plot(ts&#91;'Close'],&nbsp;label='Actual')<br>plt.plot(forecast,&nbsp;label='Forecast',&nbsp;linestyle='--')<br>plt.title('ARIMA&nbsp;Forecast&nbsp;of&nbsp;Stock&nbsp;Prices')<br>plt.xlabel('Date')<br>plt.ylabel('Price')<br>plt.legend()<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>ARIMA<\/code>\u7528\u4e8e\u521b\u5efaARIMA\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>fit<\/code>\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>forecast<\/code>\u7528\u4e8e\u9884\u6d4b\u672a\u6765\u6570\u636e\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"9_%E5%9B%9E%E5%BD%92%E5%88%86%E6%9E%90\"><\/span><strong>9. \u56de\u5f52\u5206\u6790<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u56de\u5f52\u5206\u6790\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u7406\u89e3\u4e0d\u540c\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;sklearn.linear_model&nbsp;import&nbsp;LinearRegression<br><br><em>#&nbsp;\u51c6\u5907\u6570\u636e<\/em><br>X&nbsp;=&nbsp;df&#91;&#91;'column1',&nbsp;'column2']]<br>y&nbsp;=&nbsp;df&#91;'target']<br><br><em>#&nbsp;\u521b\u5efa\u56de\u5f52\u6a21\u578b<\/em><br>reg&nbsp;=&nbsp;LinearRegression()<br>reg.fit(X,&nbsp;y)<br><br><em>#&nbsp;\u8f93\u51fa\u7cfb\u6570<\/em><br>print('Coefficients:',&nbsp;reg.coef_)<br>print('Intercept:',&nbsp;reg.intercept_)<br><br><em>#&nbsp;\u9884\u6d4b<\/em><br>y_pred&nbsp;=&nbsp;reg.predict(X)<br><br><em>#&nbsp;\u7ed8\u5236\u56de\u5f52\u7ed3\u679c<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.scatter(X&#91;'column1'],&nbsp;y,&nbsp;color='blue',&nbsp;label='Actual')<br>plt.plot(X&#91;'column1'],&nbsp;y_pred,&nbsp;color='red',&nbsp;label='Predicted')<br>plt.title('Linear&nbsp;Regression&nbsp;of&nbsp;Financial&nbsp;Data')<br>plt.xlabel('Column1')<br>plt.ylabel('Target')<br>plt.legend()<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>LinearRegression<\/code>\u7528\u4e8e\u521b\u5efa\u7ebf\u6027\u56de\u5f52\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>fit<\/code>\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>predict<\/code>\u7528\u4e8e\u9884\u6d4b\u6570\u636e\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"10_%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E6%A8%A1%E5%9E%8B\"><\/span><strong>10. \u673a\u5668\u5b66\u4e60\u6a21\u578b<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u673a\u5668\u5b66\u4e60\u6a21\u578b\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u548c\u9884\u6d4b\u91d1\u878d\u6570\u636e\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>from&nbsp;sklearn.ensemble&nbsp;import&nbsp;RandomForestRegressor<br>from&nbsp;sklearn.model_selection&nbsp;import&nbsp;train_test_split<br><br><em>#&nbsp;\u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6<\/em><br>X_train,&nbsp;X_test,&nbsp;y_train,&nbsp;y_test&nbsp;=&nbsp;train_test_split(X,&nbsp;y,&nbsp;test_size=0.2,&nbsp;random_state=42)<br><br><em>#&nbsp;\u521b\u5efa\u968f\u673a\u68ee\u6797\u6a21\u578b<\/em><br>rf&nbsp;=&nbsp;RandomForestRegressor(n_estimators=100,&nbsp;random_state=42)<br>rf.fit(X_train,&nbsp;y_train)<br><br><em>#&nbsp;\u9884\u6d4b<\/em><br>y_pred&nbsp;=&nbsp;rf.predict(X_test)<br><br><em>#&nbsp;\u8f93\u51fa\u9884\u6d4b\u7ed3\u679c<\/em><br>print('Predictions:',&nbsp;y_pred&#91;:5])<br><br><em>#&nbsp;\u7ed8\u5236\u9884\u6d4b\u7ed3\u679c<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.scatter(X_test&#91;'column1'],&nbsp;y_test,&nbsp;color='blue',&nbsp;label='Actual')<br>plt.plot(X_test&#91;'column1'],&nbsp;y_pred,&nbsp;color='red',&nbsp;label='Predicted')<br>plt.title('Random&nbsp;Forest&nbsp;Regression&nbsp;of&nbsp;Financial&nbsp;Data')<br>plt.xlabel('Column1')<br>plt.ylabel('Target')<br>plt.legend()<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>train_test_split<\/code>\u7528\u4e8e\u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002<\/li>\n\n\n\n<li><code>RandomForestRegressor<\/code>\u7528\u4e8e\u521b\u5efa\u968f\u673a\u68ee\u6797\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>fit<\/code>\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>predict<\/code>\u7528\u4e8e\u9884\u6d4b\u6570\u636e\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E5%AE%9E%E6%88%98%E6%A1%88%E4%BE%8B%EF%BC%9A%E8%82%A1%E7%A5%A8%E4%BB%B7%E6%A0%BC%E9%A2%84%E6%B5%8B\"><\/span><strong>\u5b9e\u6218\u6848\u4f8b\uff1a\u80a1\u7968\u4ef7\u683c\u9884\u6d4b<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u5047\u8bbe\u6211\u4eec\u8981\u9884\u6d4b\u67d0\u53ea\u80a1\u7968\u7684\u4ef7\u683c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u5386\u53f2\u6570\u636e\u6765\u8bad\u7ec3\u6a21\u578b\uff0c\u5e76\u9884\u6d4b\u672a\u6765\u7684\u4ef7\u683c\u3002<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code><em>#&nbsp;\u52a0\u8f7d\u80a1\u7968\u4ef7\u683c\u6570\u636e<\/em><br>stock_df&nbsp;=&nbsp;pd.read_csv('stock_prices.csv',&nbsp;parse_dates=&#91;'Date'],&nbsp;index_col='Date')<br><br><em>#&nbsp;\u8ba1\u7b97\u6280\u672f\u6307\u6807<\/em><br>stock_df&#91;'MA_5']&nbsp;=&nbsp;stock_df&#91;'Close'].rolling(window=5).mean()<br>stock_df&#91;'MA_20']&nbsp;=&nbsp;stock_df&#91;'Close'].rolling(window=20).mean()<br><br><em>#&nbsp;\u51c6\u5907\u6570\u636e<\/em><br>X&nbsp;=&nbsp;stock_df&#91;&#91;'MA_5',&nbsp;'MA_20']]<br>y&nbsp;=&nbsp;stock_df&#91;'Close']<br><br><em>#&nbsp;\u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6<\/em><br>X_train,&nbsp;X_test,&nbsp;y_train,&nbsp;y_test&nbsp;=&nbsp;train_test_split(X,&nbsp;y,&nbsp;test_size=0.2,&nbsp;random_state=42)<br><br><em>#&nbsp;\u521b\u5efa\u968f\u673a\u68ee\u6797\u6a21\u578b<\/em><br>rf&nbsp;=&nbsp;RandomForestRegressor(n_estimators=100,&nbsp;random_state=42)<br>rf.fit(X_train,&nbsp;y_train)<br><br><em>#&nbsp;\u9884\u6d4b<\/em><br>y_pred&nbsp;=&nbsp;rf.predict(X_test)<br><br><em>#&nbsp;\u7ed8\u5236\u9884\u6d4b\u7ed3\u679c<\/em><br>plt.figure(figsize=(10,&nbsp;6))<br>plt.scatter(X_test&#91;'MA_5'],&nbsp;y_test,&nbsp;color='blue',&nbsp;label='Actual')<br>plt.plot(X_test&#91;'MA_5'],&nbsp;y_pred,&nbsp;color='red',&nbsp;label='Predicted')<br>plt.title('Stock&nbsp;Price&nbsp;Prediction&nbsp;Using&nbsp;Random&nbsp;Forest')<br>plt.xlabel('5-day&nbsp;MA')<br>plt.ylabel('Close&nbsp;Price')<br>plt.legend()<br>plt.show()<\/code><\/pre>\n\n\n\n<p><strong>\u4ee3\u7801\u89e3\u91ca\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><code>read_csv<\/code>\u7528\u4e8e\u52a0\u8f7d\u80a1\u7968\u4ef7\u683c\u6570\u636e\u3002<\/li>\n\n\n\n<li><code>rolling<\/code>\u7528\u4e8e\u8ba1\u7b97\u79fb\u52a8\u5e73\u5747\u3002<\/li>\n\n\n\n<li><code>train_test_split<\/code>\u7528\u4e8e\u5212\u5206\u8bad\u7ec3\u96c6\u548c\u6d4b\u8bd5\u96c6\u3002<\/li>\n\n\n\n<li><code>RandomForestRegressor<\/code>\u7528\u4e8e\u521b\u5efa\u968f\u673a\u68ee\u6797\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>fit<\/code>\u7528\u4e8e\u8bad\u7ec3\u6a21\u578b\u3002<\/li>\n\n\n\n<li><code>predict<\/code>\u7528\u4e8e\u9884\u6d4b\u6570\u636e\u3002<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"%E6%80%BB%E7%BB%93\"><\/span><strong>\u603b\u7ed3<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u91d1\u878d\u6570\u636e\u5206\u6790\u4e2d\u7684\u5173\u952e\u6b65\u9aa4\uff0c\u5305\u62ec\u6570\u636e\u6e05\u6d17\u3001\u5f02\u5e38\u503c\u68c0\u6d4b\u3001\u6570\u636e\u6807\u51c6\u5316\u3001\u7279\u5f81\u9009\u62e9\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u3001\u79fb\u52a8\u5e73\u5747\u3001\u81ea\u76f8\u5173\u548c\u504f\u81ea\u76f8\u5173\u5206\u6790\u3001ARIMA\u6a21\u578b\u3001\u56de\u5f52\u5206\u6790\u4ee5\u53ca\u673a\u5668\u5b66\u4e60\u6a21\u578b\u7684\u5e94\u7528\u3002\u901a\u8fc7\u5b9e\u6218\u6848\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5229\u7528\u5386\u53f2\u6570\u636e\u9884\u6d4b\u80a1\u7968\u4ef7\u683c\u3002\u8fd9\u4e9b\u6b65\u9aa4\u548c\u65b9\u6cd5\u5bf9\u4e8e\u63d0\u9ad8\u91d1\u878d\u6570\u636e\u5206\u6790\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u81f3\u5173\u91cd\u8981\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u6587\u7ae0\u5f15\u8a00 \u5728\u91d1\u878d\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6570\u636e\u7684\u8d28\u91cf\u76f4\u63a5\u5f71\u54cd\u5230\u6700\u7ec8\u5206\u6790\u7ed3\u679c\u7684\u51c6\u786e\u6027\u4e0e\u53ef\u9760\u6027\u3002\u4ece\u6570\u636e\u6e05\u6d17\u3001\u5f02\u5e38\u503c\u68c0\u6d4b&hellip; <a href=\"http:\/\/viplao.com\/index.php\/2024\/11\/23\/python%e5%9f%ba%e7%a1%80%e6%8a%80%e8%83%bd-python%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90%ef%bc%9a10%e4%b8%aa%e9%87%91%e8%9e%8d%e6%95%b0%e6%8d%ae%e6%8c%96%e6%8e%98\/\" class=\"more-link read-more\" rel=\"bookmark\">\u7ee7\u7eed\u9605\u8bfb <span class=\"screen-reader-text\">PYTHON\u57fa\u7840\u6280\u80fd \u2013\u00a0Python\u91d1\u878d\u6570\u636e\u5206\u6790\uff1a10\u4e2a\u91d1\u878d\u6570\u636e\u6316\u6398\u7684\u6280\u5de7<\/span><i class=\"fa fa-arrow-right\"><\/i><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[28],"views":795,"_links":{"self":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/2879"}],"collection":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/comments?post=2879"}],"version-history":[{"count":1,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/2879\/revisions"}],"predecessor-version":[{"id":2880,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/2879\/revisions\/2880"}],"wp:attachment":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/media?parent=2879"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/categories?post=2879"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/tags?post=2879"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}