{"id":1157521,"date":"2025-01-13T18:29:39","date_gmt":"2025-01-13T10:29:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1157521.html"},"modified":"2025-01-13T18:29:41","modified_gmt":"2025-01-13T10:29:41","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e5%90%91%e9%87%8f%e6%8e%92%e5%ba%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1157521.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u5411\u91cf\u6392\u5e8f"},"content":{"rendered":"

\"python\u5982\u4f55\u5bf9\u5411\u91cf\u6392\u5e8f\"<\/p>\n

\u5f00\u5934\u6bb5\u843d:<\/p>\n

Python\u5bf9\u5411\u91cf\u6392\u5e8f\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528\u5185\u7f6e\u7684sorted()\u51fd\u6570\u3001\u4f7f\u7528sort()\u65b9\u6cd5\u3001\u5229\u7528numpy\u5e93\u4e2d\u7684\u6392\u5e8f\u51fd\u6570\u3001\u4f7f\u7528pandas\u5e93\u4e2d\u7684\u6392\u5e8f\u65b9\u6cd5<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528numpy\u5e93\u4e2d\u7684\u6392\u5e8f\u51fd\u6570<\/strong> \u662f\u8f83\u4e3a\u9ad8\u6548\u548c\u65b9\u4fbf\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u56e0\u4e3anumpy\u5e93\u4e13\u4e3a\u5904\u7406\u591a\u7ef4\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u800c\u8bbe\u8ba1\uff0c\u5177\u6709\u9ad8\u6548\u7684\u6027\u80fd\u548c\u7b80\u6d01\u7684\u8bed\u6cd5\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528numpy\u5e93\u5bf9\u5411\u91cf\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n<\/p>\n

numpy\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u7684\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u5b83\u63d0\u4f9b\u4e86\u591a\u79cd\u9ad8\u6548\u7684\u6570\u503c\u8ba1\u7b97\u5de5\u5177\uff0c\u5305\u62ec\u6392\u5e8f\u3001\u7edf\u8ba1\u3001\u7ebf\u6027\u4ee3\u6570\u3001\u968f\u673a\u6570\u751f\u6210\u7b49\u3002numpy\u5e93\u7684\u6392\u5e8f\u51fd\u6570\u4e0d\u4ec5\u53ef\u4ee5\u5bf9\u4e00\u7ef4\u5411\u91cf\u8fdb\u884c\u6392\u5e8f\uff0c\u8fd8\u53ef\u4ee5\u5bf9\u591a\u7ef4\u6570\u7ec4\u8fdb\u884c\u6392\u5e8f\uff0c\u80fd\u591f\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u5185\u7f6e\u7684sorted()\u51fd\u6570<\/p>\n<\/p>\n

Python\u7684\u5185\u7f6e\u51fd\u6570sorted()\u53ef\u4ee5\u7528\u6765\u5bf9\u4efb\u4f55\u53ef\u8fed\u4ee3\u5bf9\u8c61\u8fdb\u884c\u6392\u5e8f\uff0c\u5305\u62ec\u5411\u91cf\uff08\u5217\u8868\uff09\u3002sorted()\u51fd\u6570\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5df2\u6392\u5e8f\u7684\u5217\u8868\uff0c\u800c\u4e0d\u4f1a\u4fee\u6539\u539f\u5217\u8868\u3002<\/p>\n<\/p>\n

vector = [4, 2, 9, 1, 5, 6]<\/p>\n
sorted_vector = sorted(vector)<\/p>\n
print(sorted_vector)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0csorted()\u51fd\u6570\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5217\u8868[1, 2, 4, 5, 6, 9]<\/code>\uff0c\u800c\u539f\u5217\u8868vector<\/code>\u4e0d\u4f1a\u88ab\u4fee\u6539\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u7684sort()\u65b9\u6cd5<\/p>\n<\/p>\n
\u9664\u4e86\u4f7f\u7528sorted()\u51fd\u6570\uff0cPython\u7684\u5217\u8868\u8fd8\u6709\u4e00\u4e2a\u5185\u7f6e\u7684sort()\u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u53ef\u4ee5\u5bf9\u5217\u8868\u8fdb\u884c\u539f\u5730\u6392\u5e8f\uff0c\u4e5f\u5c31\u662f\u8bf4\u4f1a\u76f4\u63a5\u4fee\u6539\u539f\u5217\u8868\uff0c\u800c\u4e0d\u662f\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5217\u8868\u3002<\/p>\n<\/p>\n
vector = [4, 2, 9, 1, 5, 6]<\/p>\n
vector.sort()<\/p>\n
print(vector)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0csort()\u65b9\u6cd5\u4f1a\u76f4\u63a5\u4fee\u6539\u539f\u5217\u8868vector<\/code>\uff0c\u4f7f\u5176\u53d8\u4e3a[1, 2, 4, 5, 6, 9]<\/code>\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528numpy\u5e93\u4e2d\u7684\u6392\u5e8f\u51fd\u6570<\/p>\n<\/p>\n
\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\uff0cnumpy\u5e93\u662f\u4e00\u4e2a\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002numpy\u5e93\u63d0\u4f9b\u4e86\u591a\u79cd\u6392\u5e8f\u51fd\u6570\uff0c\u53ef\u4ee5\u5bf9\u4e00\u7ef4\u5411\u91cf\u548c\u591a\u7ef4\u6570\u7ec4\u8fdb\u884c\u6392\u5e8f\u3002\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fnumpy.sort()\u51fd\u6570\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
vector = np.array([4, 2, 9, 1, 5, 6])<\/p>\n
sorted_vector = np.sort(vector)<\/p>\n
print(sorted_vector)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0cnumpy.sort()\u51fd\u6570\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5df2\u6392\u5e8f\u7684\u6570\u7ec4[1, 2, 4, 5, 6, 9]<\/code>\uff0c\u800c\u539f\u6570\u7ec4vector<\/code>\u4e0d\u4f1a\u88ab\u4fee\u6539\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528pandas\u5e93\u4e2d\u7684\u6392\u5e8f\u65b9\u6cd5<\/p>\n<\/p>\n
pandas\u5e93\u662f\u4e00\u4e2a\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u7684\u5229\u5668\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u64cd\u4f5c\u5de5\u5177\u3002\u5176\u4e2d\uff0cpandas.Series\u5bf9\u8c61\u6709\u4e00\u4e2asort_values()\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5bf9\u4e00\u7ef4\u5411\u91cf\u8fdb\u884c\u6392\u5e8f\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
vector = pd.Series([4, 2, 9, 1, 5, 6])<\/p>\n
sorted_vector = vector.sort_values()<\/p>\n
print(sorted_vector)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0csort_values()\u65b9\u6cd5\u4f1a\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5df2\u6392\u5e8f\u7684Series\u5bf9\u8c61\uff0c\u800c\u539fSeries\u5bf9\u8c61vector<\/code>\u4e0d\u4f1a\u88ab\u4fee\u6539\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5411\u91cf\u6392\u5e8f\u7684\u5e94\u7528\u573a\u666f<\/p>\n<\/p>\n
\u5411\u91cf\u6392\u5e8f\u662f\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4e2d\u7684\u5e38\u89c1\u64cd\u4f5c\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5404\u79cd\u5b9e\u9645\u573a\u666f\u3002\u4f8b\u5982\uff0c\u5728\u91d1\u878d\u9886\u57df\uff0c\u53ef\u4ee5\u5bf9\u80a1\u7968\u4ef7\u683c\u6570\u636e\u8fdb\u884c\u6392\u5e8f\uff0c\u4ee5\u4fbf\u5206\u6790\u4ef7\u683c\u8d8b\u52bf\u548c\u6ce2\u52a8\uff1b\u5728\u673a\u5668\u5b66\u4e60<\/a>\u9886\u57df\uff0c\u53ef\u4ee5\u5bf9\u7279\u5f81\u6570\u636e\u8fdb\u884c\u6392\u5e8f\uff0c\u4ee5\u4fbf\u9009\u62e9\u91cd\u8981\u7279\u5f81\u6216\u8fdb\u884c\u7279\u5f81\u5de5\u7a0b\uff1b\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u53ef\u4ee5\u5bf9\u50cf\u7d20\u503c\u8fdb\u884c\u6392\u5e8f\uff0c\u4ee5\u4fbf\u8fdb\u884c\u56fe\u50cf\u589e\u5f3a\u548c\u5206\u5272\u3002<\/p>\n<\/p>\n
\u516d\u3001\u5411\u91cf\u6392\u5e8f\u7684\u6027\u80fd\u6bd4\u8f83<\/p>\n<\/p>\n
\u4e0d\u540c\u7684\u6392\u5e8f\u65b9\u6cd5\u5728\u6027\u80fd\u4e0a\u5b58\u5728\u5dee\u5f02\u3002\u5728\u9009\u62e9\u6392\u5e8f\u65b9\u6cd5\u65f6\uff0c\u5e94\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u6570\u636e\u89c4\u6a21\u8fdb\u884c\u6743\u8861\u3002\u4e00\u822c\u6765\u8bf4\uff0cnumpy\u5e93\u7684\u6392\u5e8f\u51fd\u6570\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u8868\u73b0\u8f83\u597d\uff0c\u56e0\u4e3anumpy\u5e93\u662f\u7528C\u8bed\u8a00\u5b9e\u73b0\u7684\uff0c\u5177\u6709\u8f83\u9ad8\u7684\u6027\u80fd\u3002\u5bf9\u4e8e\u5c0f\u89c4\u6a21\u6570\u636e\uff0c\u53ef\u4ee5\u9009\u62e9Python\u5185\u7f6e\u7684sorted()\u51fd\u6570\u6216sort()\u65b9\u6cd5\uff0c\u5b83\u4eec\u7684\u6027\u80fd\u4e5f\u8db3\u591f\u6ee1\u8db3\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86Python\u5bf9\u5411\u91cf\u6392\u5e8f\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684sorted()\u51fd\u6570\u3001\u4f7f\u7528\u5217\u8868\u7684sort()\u65b9\u6cd5\u3001\u4f7f\u7528numpy\u5e93\u7684\u6392\u5e8f\u51fd\u6570\u3001\u4f7f\u7528pandas\u5e93\u7684\u6392\u5e8f\u65b9\u6cd5\u3002\u5e76\u5bf9\u6bcf\u79cd\u65b9\u6cd5\u8fdb\u884c\u4e86\u8be6\u7ec6\u7684\u4ee3\u7801\u793a\u4f8b\u548c\u5e94\u7528\u573a\u666f\u5206\u6790\u3002\u901a\u8fc7\u672c\u6587\u7684\u5b66\u4e60\uff0c\u5e0c\u671b\u8bfb\u8005\u80fd\u591f\u638c\u63e1Python\u5bf9\u5411\u91cf\u6392\u5e8f\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5e76\u5728\u5b9e\u9645\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4e2d\u7075\u6d3b\u8fd0\u7528\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5bf9\u4e00\u7ef4\u5411\u91cf\u8fdb\u884c\u6392\u5e8f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684sorted()<\/code>\u51fd\u6570\u5bf9\u4e00\u7ef4\u5411\u91cf\u8fdb\u884c\u6392\u5e8f\uff0c\u8fd4\u56de\u4e00\u4e2a\u65b0\u7684\u5df2\u6392\u5e8f\u5217\u8868\u3002\u4e5f\u53ef\u4ee5\u4f7f\u7528\u5411\u91cf\u7684sort()<\/code>\u65b9\u6cd5\u76f4\u63a5\u5728\u539f\u5217\u8868\u4e0a\u8fdb\u884c\u6392\u5e8f\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
vector = [5, 2, 9, 1, 5, 6]\nsorted_vector = sorted(vector)  # \u8fd4\u56de\u65b0\u5217\u8868\nvector.sort()                   # \u539f\u5730\u6392\u5e8f\n<\/code><\/pre>\n
Python\u4e2d\u6709\u54ea\u4e9b\u5e93\u53ef\u4ee5\u5bf9\u5411\u91cf\u8fdb\u884c\u9ad8\u6548\u6392\u5e8f\uff1f<\/strong>
\u9664\u4e86\u5185\u7f6e\u7684\u6392\u5e8f\u529f\u80fd\uff0cPython\u7684NumPy\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6392\u5e8f\u51fd\u6570\uff0c\u6bd4\u5982numpy.sort()<\/code>\u3002\u4f7f\u7528NumPy\u53ef\u4ee5\u5904\u7406\u5927\u578b\u6570\u636e\u96c6\uff0c\u5e76\u4e14\u901f\u5ea6\u66f4\u5feb\u3002\u793a\u4f8b\uff1a<\/p>\n
import numpy as np\nvector = np.array([5, 2, 9, 1, 5, 6])\nsorted_vector = np.sort(vector)\n<\/code><\/pre>\n
\u5982\u4f55\u5bf9Python\u4e2d\u7684\u5411\u91cf\u8fdb\u884c\u964d\u5e8f\u6392\u5e8f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5728sorted()<\/code>\u51fd\u6570\u6216sort()<\/code>\u65b9\u6cd5\u4e2d\u6dfb\u52a0\u53c2\u6570reverse=True<\/code>\u6765\u5b9e\u73b0\u964d\u5e8f\u6392\u5e8f\u3002\u4f8b\u5982\uff1a<\/p>\n
vector = [5, 2, 9, 1, 5, 6]\nsorted_vector_desc = sorted(vector, reverse=True)  # \u8fd4\u56de\u65b0\u5217\u8868\nvector.sort(reverse=True)                          # \u539f\u5730\u964d\u5e8f\u6392\u5e8f\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d: Python\u5bf9\u5411\u91cf\u6392\u5e8f\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5982\u4f7f\u7528\u5185\u7f6e\u7684sorted()\u51fd\u6570\u3001\u4f7f\u7528sort()\u65b9\u6cd5\u3001\u5229\u7528n […]","protected":false},"author":3,"featured_media":1157529,"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\/1157521"}],"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=1157521"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1157521\/revisions"}],"predecessor-version":[{"id":1157530,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1157521\/revisions\/1157530"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1157529"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1157521"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1157521"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1157521"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}