{"id":1129994,"date":"2025-01-08T20:34:45","date_gmt":"2025-01-08T12:34:45","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1129994.html"},"modified":"2025-01-08T20:34:48","modified_gmt":"2025-01-08T12:34:48","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e4%b8%80%e8%a1%8c%e6%95%b0%e6%8d%ae%e7%9b%b8%e5%8a%a0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1129994.html","title":{"rendered":"python\u5982\u4f55\u5c06\u4e00\u884c\u6570\u636e\u76f8\u52a0"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25100231\/0a9abcf3-5c2c-40d5-b78d-f0e2779a3386.webp\" alt=\"python\u5982\u4f55\u5c06\u4e00\u884c\u6570\u636e\u76f8\u52a0\" \/><\/p>\n<p><p> <strong>Python\u5c06\u4e00\u884c\u6570\u636e\u76f8\u52a0\u7684\u6b65\u9aa4\u4e3b\u8981\u5305\u62ec\uff1a\u8bfb\u53d6\u6570\u636e\u3001\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\u3001\u8ba1\u7b97\u603b\u548c<\/strong>\u3002\u5176\u4e2d\uff0c\u6570\u636e\u7684\u8bfb\u53d6\u548c\u5904\u7406\u662f\u5173\u952e\u90e8\u5206\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u8bfb\u53d6\u6570\u636e<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u8bfb\u53d6\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u3001\u4ece\u7f51\u7edc\u8bf7\u6c42\u4e2d\u83b7\u53d6\u6570\u636e\uff0c\u6216\u8005\u76f4\u63a5\u4ece\u7528\u6237\u8f93\u5165\u4e2d\u8bfb\u53d6\u6570\u636e\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684<code>input()<\/code>\u51fd\u6570\u3001\u8bfb\u53d6\u6587\u4ef6\u3001\u6216\u8005\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93\u5982<code>pandas<\/code>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><h3>1. \u7528\u6237\u8f93\u5165<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>input()<\/code>\u51fd\u6570\u53ef\u4ee5\u8ba9\u7528\u6237\u5728\u63a7\u5236\u53f0\u8f93\u5165\u4e00\u884c\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u7b80\u5355\u7684\u4ea4\u4e92\u5f0f\u7a0b\u5e8f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = input(&quot;\u8bf7\u8f93\u5165\u4e00\u884c\u6570\u636e\uff1a&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2. \u6587\u4ef6\u8bfb\u53d6<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u6587\u4ef6\u64cd\u4f5c\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">with open(&#39;data.txt&#39;, &#39;r&#39;) as file:<\/p>\n<p>    data = file.readline()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>3. \u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u590d\u6742\u7684\u6587\u4ef6\u683c\u5f0f\u4e2d\uff08\u5982CSV\u3001Excel\uff09\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u66f4\u65b9\u4fbf\u5730\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<p>data = df.iloc[0]  # \u8bfb\u53d6\u7b2c\u4e00\u884c\u6570\u636e<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e8c\u3001\u6570\u636e\u9884\u5904\u7406<\/p>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\uff0c\u5305\u62ec\u5c06\u6570\u636e\u62c6\u5206\u6210\u72ec\u7acb\u7684\u6570\u503c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\uff08\u5982\u6574\u6570\u6216\u6d6e\u70b9\u6570\uff09\u3002<\/p>\n<\/p>\n<p><h3>1. \u6570\u636e\u62c6\u5206<\/h3>\n<\/p>\n<p><p>\u4f7f\u7528<code>split()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u5b57\u7b26\u4e32\u6309\u6307\u5b9a\u5206\u9694\u7b26\u62c6\u5206\u6210\u5217\u8868\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u6570\u636e\u4ee5\u7a7a\u683c\u5206\u9694\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_list = data.split()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>2. \u7c7b\u578b\u8f6c\u6362<\/h3>\n<\/p>\n<p><p>\u62c6\u5206\u540e\u7684\u6570\u636e\u901a\u5e38\u662f\u5b57\u7b26\u4e32\u7c7b\u578b\uff0c\u9700\u8981\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\u3002\u53ef\u4ee5\u4f7f\u7528<code>map()<\/code>\u51fd\u6570\u5c06\u5b57\u7b26\u4e32\u5217\u8868\u8f6c\u6362\u4e3a\u6570\u503c\u5217\u8868\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data_list = list(map(float, data_list))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e09\u3001\u8ba1\u7b97\u603b\u548c<\/p>\n<\/p>\n<p><p>\u5728\u5b8c\u6210\u6570\u636e\u9884\u5904\u7406\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>sum()<\/code>\u51fd\u6570\u8ba1\u7b97\u603b\u548c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">total = sum(data_list)<\/p>\n<p>print(&quot;\u603b\u548c\u4e3a\uff1a&quot;, total)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u7efc\u5408\u793a\u4f8b<\/p>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4ece\u7528\u6237\u8f93\u5165\u4e2d\u8bfb\u53d6\u6570\u636e\u3001\u5c06\u5176\u62c6\u5206\u5e76\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\uff0c\u7136\u540e\u8ba1\u7b97\u603b\u548c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u7528\u6237\u8f93\u5165<\/p>\n<p>data = input(&quot;\u8bf7\u8f93\u5165\u4e00\u884c\u6570\u636e\uff08\u4ee5\u7a7a\u683c\u5206\u9694\uff09\uff1a&quot;)<\/p>\n<h2><strong>\u62c6\u5206\u6570\u636e\u5e76\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b<\/strong><\/h2>\n<p>data_list = list(map(float, data.split()))<\/p>\n<h2><strong>\u8ba1\u7b97\u603b\u548c<\/strong><\/h2>\n<p>total = sum(data_list)<\/p>\n<p>print(&quot;\u603b\u548c\u4e3a\uff1a&quot;, total)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e94\u3001\u5904\u7406\u6587\u4ef6\u6570\u636e\u7684\u793a\u4f8b<\/p>\n<\/p>\n<p><p>\u4e0b\u9762\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u3001\u5c06\u5176\u62c6\u5206\u5e76\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\uff0c\u7136\u540e\u8ba1\u7b97\u603b\u548c\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e<\/p>\n<p>with open(&#39;data.txt&#39;, &#39;r&#39;) as file:<\/p>\n<p>    data = file.readline()<\/p>\n<h2><strong>\u62c6\u5206\u6570\u636e\u5e76\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b<\/strong><\/h2>\n<p>data_list = list(map(float, data.split()))<\/p>\n<h2><strong>\u8ba1\u7b97\u603b\u548c<\/strong><\/h2>\n<p>total = sum(data_list)<\/p>\n<p>print(&quot;\u603b\u548c\u4e3a\uff1a&quot;, total)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u516d\u3001\u4f7f\u7528pandas\u5904\u7406\u590d\u6742\u6570\u636e\u7684\u793a\u4f8b<\/p>\n<\/p>\n<p><p>\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728CSV\u6587\u4ef6\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>pandas<\/code>\u5e93\u8bfb\u53d6\u5e76\u5904\u7406\u6570\u636e\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>df = pd.read_csv(&#39;data.csv&#39;)<\/p>\n<h2><strong>\u8bfb\u53d6\u7b2c\u4e00\u884c\u6570\u636e\u5e76\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b<\/strong><\/h2>\n<p>data_list = df.iloc[0].astype(float).tolist()<\/p>\n<h2><strong>\u8ba1\u7b97\u603b\u548c<\/strong><\/h2>\n<p>total = sum(data_list)<\/p>\n<p>print(&quot;\u603b\u548c\u4e3a\uff1a&quot;, total)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4ee5\u4e0a\u5185\u5bb9\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u5c06\u4e00\u884c\u6570\u636e\u76f8\u52a0\uff0c\u4ece\u6570\u636e\u8bfb\u53d6\u3001\u9884\u5904\u7406\u5230\u6700\u7ec8\u8ba1\u7b97\u603b\u548c\u7684\u6574\u4e2a\u8fc7\u7a0b\u3002\u5e0c\u671b\u8fd9\u4e9b\u793a\u4f8b\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u5b9e\u73b0\u76f8\u5173\u529f\u80fd\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5bf9\u4e00\u884c\u6570\u636e\u8fdb\u884c\u6c42\u548c\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>sum()<\/code>\u51fd\u6570\u8f7b\u677e\u5bf9\u4e00\u884c\u6570\u636e\u8fdb\u884c\u6c42\u548c\u3002\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u5217\u8868\u4e2d\uff0c\u60a8\u53ea\u9700\u5c06\u8be5\u5217\u8868\u4f20\u9012\u7ed9<code>sum()<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u5047\u8bbe\u60a8\u6709\u4e00\u4e2a\u5217\u8868<code>data = [1, 2, 3, 4, 5]<\/code>\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7<code>total = sum(data)<\/code>\u6765\u83b7\u5f97\u5176\u548c\uff0c<code>total<\/code>\u7684\u503c\u5c06\u662f15\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u6570\u636e\u7ed3\u6784\u6765\u5b58\u50a8\u9700\u8981\u6c42\u548c\u7684\u6570\u636e\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u6570\u636e\u7ed3\u6784\u6765\u5b58\u50a8\u9700\u8981\u6c42\u548c\u7684\u6570\u5b57\uff0c\u5305\u62ec\u5217\u8868\u3001\u5143\u7ec4\u3001\u96c6\u5408\u548c\u5b57\u5178\u3002\u5217\u8868\u548c\u5143\u7ec4\u662f\u6700\u5e38\u7528\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u8fed\u4ee3\u5e76\u8fdb\u884c\u6c42\u548c\u64cd\u4f5c\u3002\u5bf9\u4e8e\u5b57\u5178\uff0c\u53ef\u4ee5\u5bf9\u5b57\u5178\u7684\u503c\u8fdb\u884c\u6c42\u548c\uff0c\u4f8b\u5982<code>sum(my_dict.values())<\/code>\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u5305\u542b\u5b57\u7b26\u4e32\u6216\u975e\u6570\u503c\u7c7b\u578b\u7684\u884c\u6570\u636e\uff1f<\/strong><br \/>\u5728\u5904\u7406\u5305\u542b\u5b57\u7b26\u4e32\u6216\u5176\u4ed6\u975e\u6570\u503c\u7c7b\u578b\u7684\u6570\u636e\u65f6\uff0c\u60a8\u9700\u8981\u786e\u4fdd\u5728\u6c42\u548c\u4e4b\u524d\u5bf9\u6570\u636e\u8fdb\u884c\u6e05\u6d17\u548c\u8f6c\u6362\u3002\u53ef\u4ee5\u4f7f\u7528\u5217\u8868\u63a8\u5bfc\u5f0f\u7ed3\u5408<code>isinstance()<\/code>\u51fd\u6570\u8fc7\u6ee4\u51fa\u6570\u503c\u7c7b\u578b\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>total = sum(x for x in data if isinstance(x, (int, float)))<\/code>\u53ef\u4ee5\u786e\u4fdd\u53ea\u5bf9\u6574\u6570\u548c\u6d6e\u70b9\u6570\u8fdb\u884c\u6c42\u548c\uff0c\u4ece\u800c\u907f\u514d\u7c7b\u578b\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5c06\u4e00\u884c\u6570\u636e\u76f8\u52a0\u7684\u6b65\u9aa4\u4e3b\u8981\u5305\u62ec\uff1a\u8bfb\u53d6\u6570\u636e\u3001\u5c06\u5176\u8f6c\u6362\u4e3a\u6570\u503c\u7c7b\u578b\u3001\u8ba1\u7b97\u603b\u548c\u3002\u5176\u4e2d\uff0c\u6570\u636e\u7684\u8bfb\u53d6\u548c\u5904\u7406\u662f\u5173\u952e [&hellip;]","protected":false},"author":3,"featured_media":1130004,"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\/1129994"}],"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=1129994"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1129994\/revisions"}],"predecessor-version":[{"id":1130006,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1129994\/revisions\/1130006"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1130004"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1129994"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1129994"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1129994"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}