{"id":204980,"date":"2025-05-29T16:51:13","date_gmt":"2025-05-29T08:51:13","guid":{"rendered":"https:\/\/server.hk\/cnblog\/204980\/"},"modified":"2025-05-29T16:51:13","modified_gmt":"2025-05-29T08:51:13","slug":"%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8-pandas-%e8%8e%b7%e5%8f%96%e6%af%94%e5%bd%93%e5%89%8d%e8%a1%8c%e5%80%bc%e6%9b%b4%e5%a4%a7%e7%9a%84%e6%95%b0%e6%8d%ae%e4%b9%8b%e9%97%b4%e7%9a%84%e4%b8%aa%e6%95%b0","status":"publish","type":"post","link":"https:\/\/server.hk\/cnblog\/204980\/","title":{"rendered":"\u5982\u4f55\u5229\u7528 Pandas \u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570\uff1f"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>\u5982\u4f55\u5229\u7528 Pandas \u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570\uff1f<\/h1>\n<p>\u672c\u7bc7\u6587\u7ae0\u4e3b\u8981\u662f\u7ed3\u5408\u6211\u4e4b\u524d\u9762\u8bd5\u7684\u5404\u79cd\u7ecf\u5386\u548c\u5b9e\u6218\u5f00\u53d1\u4e2d\u9047\u5230\u7684\u95ee\u9898\u89e3\u51b3\u7ecf\u9a8c\u6574\u7406\u7684\uff0c\u5e0c\u671b\u8fd9\u7bc7\u300a\u5982\u4f55\u5229\u7528 Pandas \u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570\uff1f\u300b\u5bf9\u4f60\u6709\u5f88\u5927\u5e2e\u52a9\uff01\u6b22\u8fce\u6536\u85cf\uff0c\u5206\u4eab\u7ed9\u66f4\u591a\u7684\u9700\u8981\u7684\u670b\u53cb\u5b66\u4e60~<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241120\/1732104573673dd17d5c722.jpg\" class=\"aligncenter\"><\/p>\n<p><strong>\u5229\u7528 pandas \u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570<\/strong><\/p>\n<p>\u8981\u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li>\u5c06 col3 \u5217\u7684\u503c\u4f5c\u4e3a\u6570\u7ec4\u653e\u5165 x \u4e2d\u3002<\/li>\n<li>\u5229\u7528 numpy \u7684 np.sum() \u51fd\u6570\u6c42\u51fa x \u4e2d\u5927\u4e8e x \u6700\u540e\u4e00\u4e2a\u5143\u7d20\u7684\u5143\u7d20\u4e2a\u6570\u3002<\/li>\n<li>\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5c06\u6b65\u9aa4 2 \u7684\u7ed3\u679c\u8d4b\u503c\u7ed9 dataframe \u7684\u65b0\u5217 col4\u3002<\/li>\n<\/ol>\n<p>\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<pre>import numpy as np\nimport pandas as pd\n\nvalues = [[5.5, 2.5, 10.0], [2.0, 4.5, 1.0], [2.5, 5.2, 8.0],[4.5, 5.8, 4.8], [4.6, 6.3, 9.6],[4.1, 6.4, 9.0],[5.1, 2.3, 3],[5.1, 2.3, 11.1],[5.1, 2.3, 10],[5.1, 2.3, 11.1],[5.1, 2.3, 20],[5.1, 2.3, 31],[5.1, 2.3, 5]]\ndf = pd.dataframe(values, columns=['col1', 'col2', 'col3'])\n\ncount_larger = lambda x: np.sum(x &amp;gt; x[-1])\ndf['col4'] = [count_larger(df[:i + 1]['col3'].values) for i in range(len(df))]\n\nprint(df)<\/pre>\n<p>\u8f93\u51fa\uff1a<\/p>\n<pre>    col1  col2  col3  col4\n0    5.5   2.5  10.0    0\n1    2.0   4.5   1.0     0\n2    2.5   5.2   8.0     1\n3    4.5   5.8   4.8      0\n4    4.6   6.3   9.6      3\n5    4.1   6.4   9.0      0\n6    5.1   2.3   3.0      0\n7    5.1   2.3  11.1      7\n8    5.1   2.3  10.0      0\n9    5.1   2.3  11.1      1\n10   5.1   2.3  20.0      10\n11   5.1   2.3  31.0       11\n12   5.1   2.3   5.0       0<\/pre>\n<p>\u7ec8\u4e8e\u4ecb\u7ecd\u5b8c\u5566\uff01\u5c0f\u4f19\u4f34\u4eec\uff0c\u8fd9\u7bc7\u5173\u4e8e\u300a\u5982\u4f55\u5229\u7528 Pandas \u83b7\u53d6\u6bd4\u5f53\u524d\u884c\u503c\u66f4\u5927\u7684\u6570\u636e\u4e4b\u95f4\u7684\u4e2a\u6570\uff1f\u300b\u7684\u4ecb\u7ecd\u5e94\u8be5\u8ba9\u4f60\u6536\u83b7\u591a\u591a\u4e86\u5427\uff01\u6b22\u8fce\u5927\u5bb6\u6536\u85cf\u6216\u5206\u4eab\u7ed9\u66f4\u591a\u9700\u8981\u5b66\u4e60\u7684\u670b\u53cb\u5427~\u516c\u4f17\u53f7\u4e5f\u4f1a\u53d1\u5e03\u6587\u7ae0\u76f8\u5173\u77e5\u8bc6\uff0c\u5feb\u6765\u5173\u6ce8\u5427\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5982\u4f55\u5229\u7528 Pandas \u83b7\u53d6\u6bd4\u5f53&#46;&#46;&#46;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4925],"tags":[],"class_list":["post-204980","post","type-post","status-publish","format-standard","hentry","category-4925"],"_links":{"self":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/comments?post=204980"}],"version-history":[{"count":0,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/posts\/204980\/revisions"}],"wp:attachment":[{"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/media?parent=204980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/categories?post=204980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/server.hk\/cnblog\/wp-json\/wp\/v2\/tags?post=204980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}