{"id":1049376,"date":"2024-12-31T13:58:54","date_gmt":"2024-12-31T05:58:54","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1049376.html"},"modified":"2024-12-31T13:58:57","modified_gmt":"2024-12-31T05:58:57","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%b7%ae%e5%88%86%e6%95%b0%e6%8d%ae%e5%a4%84%e7%90%86-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1049376.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5dee\u5206\u6570\u636e\u5904\u7406"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/4eb7dab6-32af-406f-a854-71a6ee5f9ddd.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u4e2d\u5982\u4f55\u5dee\u5206\u6570\u636e\u5904\u7406\" \/><\/p>\n<p><p> <strong>Python\u4e2d\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u4f7f\u7528<code>pandas<\/code>\u5e93\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5dee\u5206\u3001\u4f7f\u7528<code>numpy<\/code>\u5e93\u7684<code>diff<\/code>\u51fd\u6570\u3001\u624b\u52a8\u7f16\u5199\u5dee\u5206\u51fd\u6570\u3002<\/strong> \u5176\u4e2d\uff0c<strong>\u4f7f\u7528<code>pandas<\/code>\u5e93\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5dee\u5206<\/strong>\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u4e4b\u4e00\uff0c\u56e0\u4e3a<code>pandas<\/code>\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u80fd\u591f\u65b9\u4fbf\u5730\u5904\u7406\u5404\u79cd\u7c7b\u578b\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>\u5dee\u5206\u6570\u636e\u5904\u7406\u662f\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\u7684\u4e00\u79cd\u5e38\u89c1\u64cd\u4f5c\uff0c\u901a\u8fc7\u8ba1\u7b97\u76f8\u90bb\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u5dee\u5206\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u53bb\u9664\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u4f7f\u6570\u636e\u66f4\u52a0\u5e73\u7a33\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u51e0\u79cd\u5728Python\u4e2d\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528pandas\u5e93\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5dee\u5206<\/p>\n<\/p>\n<p><p><code>pandas<\/code>\u5e93\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u548c\u65b9\u6cd5\u6765\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002\u4f7f\u7528<code>pandas<\/code>\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8c03\u7528<code>diff<\/code>\u51fd\u6570\u5373\u53ef\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n<p>data = {&#39;Date&#39;: pd.date_range(start=&#39;2023-01-01&#39;, periods=10, freq=&#39;D&#39;),<\/p>\n<p>        &#39;Value&#39;: [10, 12, 15, 14, 13, 16, 18, 20, 22, 24]}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u8bbe\u7f6e\u65e5\u671f\u5217\u4e3a\u7d22\u5f15<\/strong><\/h2>\n<p>df.set_index(&#39;Date&#39;, inplace=True)<\/p>\n<h2><strong>\u8fdb\u884c\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>df[&#39;Diff&#39;] = df[&#39;Value&#39;].diff()<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u65e5\u671f\u548c\u503c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u6846\uff0c\u7136\u540e\u4f7f\u7528<code>set_index<\/code>\u65b9\u6cd5\u5c06\u65e5\u671f\u5217\u8bbe\u7f6e\u4e3a\u7d22\u5f15\uff0c\u6700\u540e\u8c03\u7528<code>diff<\/code>\u65b9\u6cd5\u5bf9\u503c\u5217\u8fdb\u884c\u5dee\u5206\u5904\u7406\u3002<code>diff<\/code>\u65b9\u6cd5\u4f1a\u8ba1\u7b97\u76f8\u90bb\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u4e00\u4e2a\u65b0\u7684\u5217\u4e2d\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528numpy\u5e93\u7684diff\u51fd\u6570<\/p>\n<\/p>\n<p><p><code>numpy<\/code>\u5e93\u662fPython\u4e2d\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u51fd\u6570\u3002<code>numpy<\/code>\u5e93\u7684<code>diff<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u8ba1\u7b97\u6570\u7ec4\u4e2d\u76f8\u90bb\u5143\u7d20\u4e4b\u95f4\u7684\u5dee\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n<p>values = np.array([10, 12, 15, 14, 13, 16, 18, 20, 22, 24])<\/p>\n<h2><strong>\u8fdb\u884c\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>diff_values = np.diff(values)<\/p>\n<p>print(diff_values)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u503c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u7ec4\uff0c\u7136\u540e\u4f7f\u7528<code>diff<\/code>\u51fd\u6570\u5bf9\u6570\u7ec4\u8fdb\u884c\u5dee\u5206\u5904\u7406\u3002<code>diff<\/code>\u51fd\u6570\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u6570\u7ec4\uff0c\u5305\u542b\u76f8\u90bb\u5143\u7d20\u4e4b\u95f4\u7684\u5dee\u503c\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u624b\u52a8\u7f16\u5199\u5dee\u5206\u51fd\u6570<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528<code>pandas<\/code>\u548c<code>numpy<\/code>\u5e93\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u624b\u52a8\u7f16\u5199\u5dee\u5206\u51fd\u6570\u6765\u5904\u7406\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u6ca1\u6709\u524d\u4e24\u79cd\u65b9\u6cd5\u7b80\u6d01\uff0c\u4f46\u53ef\u4ee5\u66f4\u7075\u6d3b\u5730\u6ee1\u8db3\u7279\u5b9a\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u521b\u5efa\u4e00\u4e2a\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/p>\n<p>values = [10, 12, 15, 14, 13, 16, 18, 20, 22, 24]<\/p>\n<h2><strong>\u8fdb\u884c\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>diff_values = [values[i] - values[i - 1] for i in range(1, len(values))]<\/p>\n<p>print(diff_values)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u503c\u7684\u65f6\u95f4\u5e8f\u5217\u5217\u8868\uff0c\u7136\u540e\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u8ba1\u7b97\u76f8\u90bb\u5143\u7d20\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u5e76\u5c06\u7ed3\u679c\u5b58\u50a8\u5728\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n<p><p>\u5dee\u5206\u6570\u636e\u5904\u7406\u5728\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n<p><p>1\u3001<strong>\u53bb\u9664\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206<\/strong>\uff1a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u901a\u5e38\u5305\u542b\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u901a\u8fc7\u5dee\u5206\u5904\u7406\u53ef\u4ee5\u53bb\u9664\u8fd9\u4e9b\u6210\u5206\uff0c\u4f7f\u6570\u636e\u66f4\u52a0\u5e73\u7a33\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n<p><p>2\u3001<strong>\u63d0\u9ad8\u6a21\u578b\u6027\u80fd<\/strong>\uff1a\u5728\u6784\u5efa\u65f6\u95f4\u5e8f\u5217\u9884\u6d4b\u6a21\u578b\u65f6\uff0c\u5e73\u7a33\u7684\u6570\u636e\u901a\u5e38\u80fd\u591f\u63d0\u9ad8\u6a21\u578b\u7684\u6027\u80fd\u3002\u901a\u8fc7\u5dee\u5206\u5904\u7406\u53ef\u4ee5\u5c06\u975e\u5e73\u7a33\u7684\u65f6\u95f4\u5e8f\u5217\u8f6c\u6362\u4e3a\u5e73\u7a33\u5e8f\u5217\uff0c\u4ece\u800c\u63d0\u9ad8\u6a21\u578b\u7684\u9884\u6d4b\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n<p><p>3\u3001<strong>\u7279\u5f81\u5de5\u7a0b<\/strong>\uff1a\u5728<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u548c\u6570\u636e\u6316\u6398\u4e2d\uff0c\u5dee\u5206\u6570\u636e\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u79cd\u65b0\u7684\u7279\u5f81\uff0c\u5e2e\u52a9\u6a21\u578b\u66f4\u597d\u5730\u7406\u89e3\u6570\u636e\u7684\u53d8\u5316\u89c4\u5f8b\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n<p><p>\u5728\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<\/p>\n<p><p>1\u3001<strong>\u5dee\u5206\u6b21\u6570<\/strong>\uff1a\u5dee\u5206\u6b21\u6570\u51b3\u5b9a\u4e86\u8ba1\u7b97\u76f8\u90bb\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\u6b21\u6570\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u4e00\u6b21\u5dee\u5206\u5df2\u7ecf\u80fd\u591f\u53bb\u9664\u5927\u90e8\u5206\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u4f46\u5bf9\u4e8e\u67d0\u4e9b\u590d\u6742\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u53ef\u80fd\u9700\u8981\u591a\u6b21\u5dee\u5206\u3002<\/p>\n<\/p>\n<p><p>2\u3001<strong>\u6570\u636e\u7f3a\u5931<\/strong>\uff1a\u5dee\u5206\u5904\u7406\u4f1a\u5bfc\u81f4\u6570\u636e\u7f3a\u5931\uff0c\u56e0\u4e3a\u6bcf\u6b21\u5dee\u5206\u90fd\u4f1a\u51cf\u5c11\u4e00\u4e2a\u6570\u636e\u70b9\u3002\u56e0\u6b64\uff0c\u5728\u8fdb\u884c\u5dee\u5206\u5904\u7406\u524d\uff0c\u9700\u8981\u5bf9\u6570\u636e\u7f3a\u5931\u8fdb\u884c\u5904\u7406\uff0c\u786e\u4fdd\u6570\u636e\u7684\u5b8c\u6574\u6027\u3002<\/p>\n<\/p>\n<p><p>3\u3001<strong>\u6570\u636e\u5e73\u7a33\u6027<\/strong>\uff1a\u5dee\u5206\u5904\u7406\u7684\u76ee\u7684\u662f\u5c06\u975e\u5e73\u7a33\u7684\u65f6\u95f4\u5e8f\u5217\u8f6c\u6362\u4e3a\u5e73\u7a33\u5e8f\u5217\uff0c\u4f46\u5e76\u4e0d\u662f\u6240\u6709\u7684\u975e\u5e73\u7a33\u5e8f\u5217\u90fd\u9002\u5408\u901a\u8fc7\u5dee\u5206\u5904\u7406\u6765\u5e73\u7a33\u5316\u3002\u5728\u8fdb\u884c\u5dee\u5206\u5904\u7406\u524d\uff0c\u53ef\u4ee5\u4f7f\u7528ADF\u68c0\u9a8c\u7b49\u65b9\u6cd5\u5224\u65ad\u6570\u636e\u7684\u5e73\u7a33\u6027\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u8fdb\u9636\u65b9\u6cd5<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u57fa\u7840\u7684\u5dee\u5206\u6570\u636e\u5904\u7406\u65b9\u6cd5\u5916\uff0c\u8fd8\u6709\u4e00\u4e9b\u8fdb\u9636\u65b9\u6cd5\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63d0\u9ad8\u5dee\u5206\u5904\u7406\u7684\u6548\u679c\u3002<\/p>\n<\/p>\n<p><p>1\u3001<strong>\u5b63\u8282\u6027\u5dee\u5206<\/strong>\uff1a\u5bf9\u4e8e\u5305\u542b\u5b63\u8282\u6027\u6210\u5206\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u53ef\u4ee5\u8fdb\u884c\u5b63\u8282\u6027\u5dee\u5206\u5904\u7406\u3002\u5b63\u8282\u6027\u5dee\u5206\u662f\u6307\u8ba1\u7b97\u5f53\u524d\u6570\u636e\u70b9\u4e0e\u524d\u4e00\u4e2a\u5b63\u8282\u76f8\u540c\u4f4d\u7f6e\u7684\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8fdb\u884c\u5b63\u8282\u6027\u5dee\u5206\u5904\u7406<\/p>\n<p>seasonal_diff_values = [values[i] - values[i - 4] for i in range(4, len(values))]<\/p>\n<p>print(seasonal_diff_values)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5047\u8bbe\u5b63\u8282\u5468\u671f\u4e3a4\uff0c\u901a\u8fc7\u8ba1\u7b97\u5f53\u524d\u6570\u636e\u70b9\u4e0e\u524d\u4e00\u4e2a\u5b63\u8282\u76f8\u540c\u4f4d\u7f6e\u7684\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u8fdb\u884c\u5b63\u8282\u6027\u5dee\u5206\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>2\u3001<strong>\u5bf9\u6570\u5dee\u5206<\/strong>\uff1a\u5bf9\u4e8e\u5177\u6709\u6307\u6570\u589e\u957f\u8d8b\u52bf\u7684\u65f6\u95f4\u5e8f\u5217\uff0c\u53ef\u4ee5\u8fdb\u884c\u5bf9\u6570\u5dee\u5206\u5904\u7406\u3002\u5bf9\u6570\u5dee\u5206\u662f\u6307\u8ba1\u7b97\u6570\u636e\u7684\u5bf9\u6570\u503c\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u901a\u8fc7\u5bf9\u6570\u53d8\u6362\u53ef\u4ee5\u5c06\u6307\u6570\u589e\u957f\u8d8b\u52bf\u8f6c\u5316\u4e3a\u7ebf\u6027\u8d8b\u52bf\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u8fdb\u884c\u5bf9\u6570\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>log_diff_values = np.diff(np.log(values))<\/p>\n<p>print(log_diff_values)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8ba1\u7b97\u6570\u636e\u7684\u5bf9\u6570\u503c\uff0c\u7136\u540e\u4f7f\u7528<code>numpy<\/code>\u5e93\u7684<code>diff<\/code>\u51fd\u6570\u5bf9\u5bf9\u6570\u503c\u8fdb\u884c\u5dee\u5206\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>\u4e03\u3001\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u5b9e\u8df5\u6848\u4f8b<\/p>\n<\/p>\n<p><p>\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\u548c\u5e94\u7528\u573a\u666f\uff0c\u4e0b\u9762\u6211\u4eec\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u6848\u4f8b\u6765\u6f14\u793a\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n<p><p>\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5305\u542b\u80a1\u7968\u4ef7\u683c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u6211\u4eec\u5e0c\u671b\u901a\u8fc7\u5dee\u5206\u5904\u7406\u53bb\u9664\u6570\u636e\u4e2d\u7684\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u5f97\u5230\u66f4\u52a0\u5e73\u7a33\u7684\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5305\u542b\u80a1\u7968\u4ef7\u683c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong><\/h2>\n<p>data = {&#39;Date&#39;: pd.date_range(start=&#39;2023-01-01&#39;, periods=10, freq=&#39;D&#39;),<\/p>\n<p>        &#39;Price&#39;: [100, 102, 105, 104, 103, 106, 108, 110, 112, 114]}<\/p>\n<p>df = pd.DataFrame(data)<\/p>\n<h2><strong>\u8bbe\u7f6e\u65e5\u671f\u5217\u4e3a\u7d22\u5f15<\/strong><\/h2>\n<p>df.set_index(&#39;Date&#39;, inplace=True)<\/p>\n<h2><strong>\u8fdb\u884c\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>df[&#39;Diff&#39;] = df[&#39;Price&#39;].diff()<\/p>\n<h2><strong>\u8fdb\u884c\u5bf9\u6570\u5dee\u5206\u5904\u7406<\/strong><\/h2>\n<p>df[&#39;Log_Diff&#39;] = np.diff(np.log(df[&#39;Price&#39;]), prepend=np.nan)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u80a1\u7968\u4ef7\u683c\u7684\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u6846\uff0c\u7136\u540e\u4f7f\u7528<code>pandas<\/code>\u5e93\u7684<code>diff<\/code>\u65b9\u6cd5\u5bf9\u4ef7\u683c\u5217\u8fdb\u884c\u5dee\u5206\u5904\u7406\uff0c\u5e76\u8ba1\u7b97\u5bf9\u6570\u5dee\u5206\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u53bb\u9664\u6570\u636e\u4e2d\u7684\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u5f97\u5230\u66f4\u52a0\u5e73\u7a33\u7684\u65f6\u95f4\u5e8f\u5217\u3002<\/p>\n<\/p>\n<p><p>\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5dee\u5206\u6570\u636e\u5904\u7406\u662f\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\u7684\u4e00\u79cd\u5e38\u89c1\u64cd\u4f5c\uff0c\u901a\u8fc7\u8ba1\u7b97\u76f8\u90bb\u6570\u636e\u70b9\u4e4b\u95f4\u7684\u5dee\u503c\uff0c\u53ef\u4ee5\u53bb\u9664\u65f6\u95f4\u5e8f\u5217\u4e2d\u7684\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\uff0c\u4f7f\u6570\u636e\u66f4\u52a0\u5e73\u7a33\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u3001<code>numpy<\/code>\u5e93\u7684<code>diff<\/code>\u51fd\u6570\u6216\u8005\u624b\u52a8\u7f16\u5199\u5dee\u5206\u51fd\u6570\u6765\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u3002\u5dee\u5206\u6570\u636e\u5904\u7406\u5728\u53bb\u9664\u8d8b\u52bf\u548c\u5b63\u8282\u6027\u6210\u5206\u3001\u63d0\u9ad8\u6a21\u578b\u6027\u80fd\u3001\u7279\u5f81\u5de5\u7a0b\u7b49\u65b9\u9762\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u5728\u8fdb\u884c\u5dee\u5206\u6570\u636e\u5904\u7406\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u5dee\u5206\u6b21\u6570\u3001\u6570\u636e\u7f3a\u5931\u548c\u6570\u636e\u5e73\u7a33\u6027\u7b49\u95ee\u9898\u3002\u901a\u8fc7\u5b9e\u8df5\u6848\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\u548c\u5e94\u7528\u573a\u666f\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u8bfb\u8005\u638c\u63e1Python\u4e2d\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\uff0c\u4e3a\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u63d0\u4f9b\u53c2\u8003\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6570\u636e\u5dee\u5206\u5904\u7406\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u6570\u636e\u5dee\u5206\u5904\u7406\u901a\u5e38\u4f7f\u7528Pandas\u5e93\u3002\u901a\u8fc7<code>diff()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u8ba1\u7b97\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u5dee\u5206\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>dataframe[&#39;column&#39;].diff()<\/code>\u6765\u8ba1\u7b97\u7279\u5b9a\u5217\u7684\u5dee\u5206\uff0c\u8fd4\u56de\u7684\u7ed3\u679c\u662f\u8be5\u5217\u4e2d\u6bcf\u4e2a\u5143\u7d20\u4e0e\u524d\u4e00\u4e2a\u5143\u7d20\u7684\u5dee\u503c\u3002\u8fd9\u5728\u5206\u6790\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65f6\u975e\u5e38\u6709\u7528\uff0c\u53ef\u4ee5\u5e2e\u52a9\u8bc6\u522b\u53d8\u5316\u8d8b\u52bf\u3002<\/p>\n<p><strong>\u5dee\u5206\u5904\u7406\u6709\u4ec0\u4e48\u5b9e\u9645\u5e94\u7528\u573a\u666f\uff1f<\/strong><br \/>\u5dee\u5206\u5904\u7406\u5728\u591a\u4e2a\u9886\u57df\u90fd\u6709\u5e94\u7528\uff0c\u5c24\u5176\u5728\u91d1\u878d\u5206\u6790\u3001\u6c14\u8c61\u6570\u636e\u5206\u6790\u548c\u5de5\u7a0b\u6570\u636e\u76d1\u63a7\u7b49\u65b9\u9762\u3002\u901a\u8fc7\u5dee\u5206\uff0c\u5206\u6790\u5e08\u53ef\u4ee5\u66f4\u597d\u5730\u8bc6\u522b\u51fa\u6570\u636e\u7684\u53d8\u5316\u8d8b\u52bf\uff0c\u6d88\u9664\u5b63\u8282\u6027\u5f71\u54cd\uff0c\u8fdb\u800c\u8fdb\u884c\u66f4\u51c6\u786e\u7684\u9884\u6d4b\u548c\u51b3\u7b56\u3002\u4f8b\u5982\uff0c\u80a1\u7968\u4ef7\u683c\u7684\u5dee\u5206\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u4ef7\u683c\u6ce2\u52a8\u7684\u5e45\u5ea6\u548c\u9891\u7387\uff0c\u4ece\u800c\u5236\u5b9a\u6295\u8d44\u7b56\u7565\u3002<\/p>\n<p><strong>\u662f\u5426\u9700\u8981\u5bf9\u6240\u6709\u7c7b\u578b\u7684\u6570\u636e\u8fdb\u884c\u5dee\u5206\u5904\u7406\uff1f<\/strong><br \/>\u5e76\u4e0d\u662f\u6240\u6709\u7c7b\u578b\u7684\u6570\u636e\u90fd\u9700\u8981\u8fdb\u884c\u5dee\u5206\u5904\u7406\u3002\u5dee\u5206\u4e3b\u8981\u9002\u7528\u4e8e\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u5c24\u5176\u662f\u90a3\u4e9b\u5b58\u5728\u8d8b\u52bf\u6216\u5b63\u8282\u6027\u53d8\u5316\u7684\u60c5\u51b5\u3002\u5728\u5904\u7406\u6570\u636e\u4e4b\u524d\uff0c\u5e94\u9996\u5148\u68c0\u67e5\u6570\u636e\u7684\u6027\u8d28\uff0c\u786e\u5b9a\u662f\u5426\u9700\u8981\u5dee\u5206\u3002\u5982\u679c\u6570\u636e\u5df2\u7ecf\u662f\u5e73\u7a33\u7684\uff0c\u8fdb\u884c\u5dee\u5206\u53ef\u80fd\u4f1a\u5bfc\u81f4\u4fe1\u606f\u4e22\u5931\uff0c\u56e0\u6b64\u5728\u5e94\u7528\u5dee\u5206\u5904\u7406\u65f6\u9700\u8c28\u614e\u8bc4\u4f30\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4e2d\u5dee\u5206\u6570\u636e\u5904\u7406\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u4f7f\u7528pandas\u5e93\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u5dee\u5206\u3001\u4f7f\u7528numpy\u5e93\u7684diff\u51fd [&hellip;]","protected":false},"author":3,"featured_media":1049388,"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\/1049376"}],"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=1049376"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1049376\/revisions"}],"predecessor-version":[{"id":1049389,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1049376\/revisions\/1049389"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1049388"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1049376"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1049376"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1049376"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}