{"id":1108630,"date":"2025-01-08T17:02:08","date_gmt":"2025-01-08T09:02:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1108630.html"},"modified":"2025-01-08T17:02:10","modified_gmt":"2025-01-08T09:02:10","slug":"python%e7%bb%93%e6%9e%9c%e5%a6%82%e4%bd%95%e4%bf%9d%e7%95%99%e4%b8%80%e4%bd%8d%e5%b0%8f%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1108630.html","title":{"rendered":"python\u7ed3\u679c\u5982\u4f55\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25072209\/4703af94-8d2a-48ed-914f-6776874da2bb.webp\" alt=\"python\u7ed3\u679c\u5982\u4f55\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3001round\u51fd\u6570\u3001decimal\u6a21\u5757\u7b49\u3002<\/strong> \u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\u3002<strong>\u5176\u4e2d\uff0c\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u662f\u4e00\u79cd\u7b80\u5355\u4e14\u76f4\u89c2\u7684\u65b9\u6cd5<\/strong>\uff0c\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u8f7b\u677e\u5730\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\uff0c\u8fd8\u53ef\u4ee5\u8fdb\u884c\u66f4\u591a\u7684\u683c\u5f0f\u5316\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><p>\u4f7f\u7528\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5982\u4e0b\u65b9\u5f0f\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">number = 3.14159<\/p>\n<p>formatted_number = &quot;{:.1f}&quot;.format(number)<\/p>\n<p>print(formatted_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u4ee3\u7801\u7b80\u6d01\u6613\u8bfb\uff0c\u540c\u65f6\u4e5f\u53ef\u4ee5\u9002\u7528\u4e8e\u591a\u4e2a\u6570\u5b57\u7684\u683c\u5f0f\u5316\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528 round \u51fd\u6570<\/h3>\n<\/p>\n<p><p>Python\u5185\u7f6e\u7684 <code>round<\/code> \u51fd\u6570\u662f\u4fdd\u7559\u5c0f\u6570\u4f4d\u6570\u7684\u5e38\u7528\u65b9\u6cd5\u4e4b\u4e00\u3002<code>round<\/code> \u51fd\u6570\u7684\u8bed\u6cd5\u975e\u5e38\u7b80\u5355\uff0c\u5b83\u63a5\u6536\u4e24\u4e2a\u53c2\u6570\uff1a\u7b2c\u4e00\u4e2a\u662f\u9700\u8981\u5904\u7406\u7684\u6570\u5b57\uff0c\u7b2c\u4e8c\u4e2a\u662f\u9700\u8981\u4fdd\u7559\u7684\u5c0f\u6570\u4f4d\u6570\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">number = 3.14159<\/p>\n<p>rounded_number = round(number, 1)<\/p>\n<p>print(rounded_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>round<\/code> \u51fd\u6570\u7684\u4f18\u70b9\u662f\u7b80\u5355\u76f4\u63a5\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u60c5\u51b5\u4e0b\u7684\u56db\u820d\u4e94\u5165\u9700\u6c42\u3002\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c<code>round<\/code> \u51fd\u6570\u5728\u5904\u7406\u4e8c\u8fdb\u5236\u6d6e\u70b9\u6570\u65f6\u53ef\u80fd\u4f1a\u5bfc\u81f4\u4e00\u4e9b\u610f\u60f3\u4e0d\u5230\u7684\u7ed3\u679c\u3002\u6bd4\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">print(round(2.675, 2))  # \u8f93\u51fa: 2.67<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528 decimal \u6a21\u5757<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u9700\u8981\u66f4\u9ad8\u7cbe\u5ea6\u7684\u573a\u5408\uff0c\u53ef\u4ee5\u4f7f\u7528 Python \u7684 <code>decimal<\/code> \u6a21\u5757\u3002<code>decimal<\/code> \u6a21\u5757\u63d0\u4f9b\u4e86\u5341\u8fdb\u5236\u6d6e\u70b9\u8fd0\u7b97\uff0c\u53ef\u4ee5\u907f\u514d\u4e8c\u8fdb\u5236\u6d6e\u70b9\u8fd0\u7b97\u7684\u7cbe\u5ea6\u95ee\u9898\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from decimal import Decimal, ROUND_HALF_UP<\/p>\n<p>number = Decimal(&#39;3.14159&#39;)<\/p>\n<p>rounded_number = number.quantize(Decimal(&#39;0.0&#39;), rounding=ROUND_HALF_UP)<\/p>\n<p>print(rounded_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528 <code>decimal<\/code> \u6a21\u5757\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u7cbe\u786e\u63a7\u5236\u820d\u5165\u884c\u4e3a\uff0c\u5e76\u4e14\u9002\u7528\u4e8e\u5bf9\u7cbe\u5ea6\u8981\u6c42\u8f83\u9ad8\u7684\u573a\u5408\u3002\u7f3a\u70b9\u662f\u76f8\u5bf9\u4e8e\u5185\u7f6e\u7684 <code>round<\/code> \u51fd\u6570\uff0c\u4f7f\u7528\u8d77\u6765\u7a0d\u663e\u590d\u6742\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528\u683c\u5f0f\u5316\u5b57\u7b26\u4e32<\/h3>\n<\/p>\n<p><p>\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u8f93\u51fa\u683c\u5f0f\u5316\u7ed3\u679c\u65f6\u3002Python \u63d0\u4f9b\u4e86\u591a\u79cd\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u65e7\u5f0f\u7684 <code>%<\/code> \u64cd\u4f5c\u7b26\u3001\u65b0\u5f0f\u7684 <code>format<\/code> \u65b9\u6cd5\u4ee5\u53ca\u6700\u65b0\u7684 f-string\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">number = 3.14159<\/p>\n<p>formatted_number = &quot;{:.1f}&quot;.format(number)<\/p>\n<p>print(formatted_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528 f-string\uff08Python 3.6 \u53ca\u4ee5\u4e0a\u7248\u672c\uff09\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">number = 3.14159<\/p>\n<p>formatted_number = f&quot;{number:.1f}&quot;<\/p>\n<p>print(formatted_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u7684\u4f18\u70b9\u662f\u7075\u6d3b\u6027\u9ad8\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u63a7\u5236\u8f93\u51fa\u683c\u5f0f\uff0c\u5e76\u4e14\u9002\u7528\u4e8e\u9700\u8981\u5c06\u7ed3\u679c\u8f93\u51fa\u5230\u5b57\u7b26\u4e32\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528 numpy \u5e93<\/h3>\n<\/p>\n<p><p>\u5bf9\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u573a\u5408\uff0c\u53ef\u4ee5\u4f7f\u7528 <code>numpy<\/code> \u5e93\u3002<code>numpy<\/code> \u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u6548\u7684\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u529f\u80fd\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<p>number = 3.14159<\/p>\n<p>rounded_number = np.round(number, 1)<\/p>\n<p>print(rounded_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>numpy<\/code> \u5e93\u7684\u4f18\u70b9\u662f\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u6027\u80fd\u4f18\u8d8a\uff0c\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5206\u6790\u7b49\u573a\u5408\u3002\u7f3a\u70b9\u662f\u9700\u8981\u989d\u5916\u5b89\u88c5 <code>numpy<\/code> \u5e93\uff0c\u5e76\u4e14\u76f8\u5bf9\u4e8e\u5185\u7f6e\u65b9\u6cd5\u7a0d\u663e\u590d\u6742\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528 pandas \u5e93<\/h3>\n<\/p>\n<p><p>\u5728\u6570\u636e\u5206\u6790\u9886\u57df\uff0c<code>pandas<\/code> \u5e93\u662f\u4e00\u4e2a\u975e\u5e38\u5e38\u7528\u7684\u5de5\u5177\u3002<code>pandas<\/code> \u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u4fdd\u7559\u5c0f\u6570\u4f4d\u6570\u3002<\/p>\n<\/p>\n<p><p>\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>number = 3.14159<\/p>\n<p>rounded_number = pd.Series([number]).round(1).iloc[0]<\/p>\n<p>print(rounded_number)  # \u8f93\u51fa: 3.1<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4f7f\u7528 <code>pandas<\/code> \u5e93\u7684\u4f18\u70b9\u662f\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u4efb\u52a1\uff0c\u5e76\u4e14\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u6846\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u6279\u91cf\u64cd\u4f5c\u3002\u7f3a\u70b9\u662f\u9700\u8981\u989d\u5916\u5b89\u88c5 <code>pandas<\/code> \u5e93\uff0c\u5e76\u4e14\u76f8\u5bf9\u4e8e\u5185\u7f6e\u65b9\u6cd5\u7a0d\u663e\u590d\u6742\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\u7684\u65b9\u6cd5\u6709\u5f88\u591a\u79cd\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\u548c\u9700\u6c42\u3002<strong>\u5982\u679c\u53ea\u662f\u7b80\u5355\u5730\u4fdd\u7559\u5c0f\u6570\u4f4d\u6570\uff0c\u53ef\u4ee5\u9009\u62e9 <code>round<\/code> \u51fd\u6570\u6216\u683c\u5f0f\u5316\u5b57\u7b26\u4e32<\/strong>\uff1b<strong>\u5982\u679c\u9700\u8981\u66f4\u9ad8\u7684\u7cbe\u5ea6\uff0c\u53ef\u4ee5\u9009\u62e9 <code>decimal<\/code> \u6a21\u5757<\/strong>\uff1b<strong>\u5982\u679c\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\uff0c\u53ef\u4ee5\u9009\u62e9 <code>numpy<\/code> \u6216 <code>pandas<\/code> \u5e93<\/strong>\u3002<\/p>\n<\/p>\n<p><p>\u65e0\u8bba\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u90fd\u9700\u8981\u6ce8\u610f\u6d6e\u70b9\u6570\u8fd0\u7b97\u7684\u7cbe\u5ea6\u95ee\u9898\uff0c\u5e76\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u820d\u5165\u65b9\u5f0f\u3002\u5e0c\u671b\u672c\u6587\u4ecb\u7ecd\u7684\u5404\u79cd\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u5728Python\u7f16\u7a0b\u4e2d\u66f4\u597d\u5730\u5904\u7406\u4fdd\u7559\u5c0f\u6570\u4f4d\u6570\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5c06\u6d6e\u70b9\u6570\u56db\u820d\u4e94\u5165\u5230\u4e00\u4f4d\u5c0f\u6570\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684<code>round()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u5bf9\u6d6e\u70b9\u6570\u7684\u56db\u820d\u4e94\u5165\u3002\u53ea\u9700\u4f20\u9012\u8981\u56db\u820d\u4e94\u5165\u7684\u6570\u5b57\u548c\u5c0f\u6570\u4f4d\u6570\uff0c\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">result = round(3.14159, 1)\nprint(result)  # \u8f93\u51fa: 3.1\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7b80\u5355\u5730\u5c06\u7ed3\u679c\u4fdd\u7559\u5230\u4e00\u4f4d\u5c0f\u6570\u3002<\/p>\n<p><strong>Python\u4e2d\u6709\u6ca1\u6709\u5176\u4ed6\u65b9\u6cd5\u53ef\u4ee5\u683c\u5f0f\u5316\u6570\u5b57\u5230\u4e00\u4f4d\u5c0f\u6570\uff1f<\/strong><br \/>\u9664\u4e86\u4f7f\u7528<code>round()<\/code>\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u6765\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\u3002\u4f7f\u7528<code>format()<\/code>\u6216f-string\u90fd\u53ef\u4ee5\u5b9e\u73b0\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n<pre><code class=\"language-python\">value = 3.14159\nformatted_value = &quot;{:.1f}&quot;.format(value)\nprint(formatted_value)  # \u8f93\u51fa: 3.1\n\n# \u6216\u8005\u4f7f\u7528f-string\nformatted_value = f&quot;{value:.1f}&quot;\nprint(formatted_value)  # \u8f93\u51fa: 3.1\n<\/code><\/pre>\n<p>\u8fd9\u79cd\u65b9\u5f0f\u7279\u522b\u9002\u5408\u5728\u8f93\u51fa\u65f6\u5c55\u793a\u6570\u5b57\u3002<\/p>\n<p><strong>\u5728Python\u4e2d\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\u662f\u5426\u4f1a\u5f71\u54cd\u540e\u7eed\u8ba1\u7b97\uff1f<\/strong><br \/>\u5f53\u4f60\u4f7f\u7528<code>round()<\/code>\u6216\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u65f6\uff0c\u539f\u59cb\u6570\u636e\u4ecd\u7136\u4fdd\u6301\u4e0d\u53d8\uff0c\u53ea\u6709\u5728\u663e\u793a\u6216\u8f93\u51fa\u65f6\u624d\u4f1a\u6539\u53d8\u683c\u5f0f\u3002\u5982\u679c\u9700\u8981\u5728\u540e\u7eed\u8ba1\u7b97\u4e2d\u4f7f\u7528\u4fdd\u7559\u5c0f\u6570\u7684\u7ed3\u679c\uff0c\u53ef\u4ee5\u5c06\u5176\u5b58\u50a8\u4e3a\u6d6e\u70b9\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code class=\"language-python\">value = 3.14159\nrounded_value = round(value, 1)\n# rounded_value \u4ecd\u7136\u662f\u6d6e\u70b9\u6570\u7c7b\u578b\uff0c\u540e\u7eed\u8ba1\u7b97\u4e0d\u4f1a\u53d7\u5230\u5f71\u54cd\u3002\nnew_result = rounded_value + 2.0\nprint(new_result)  # \u8f93\u51fa: 5.1\n<\/code><\/pre>\n<p>\u786e\u4fdd\u5728\u9700\u8981\u7cbe\u786e\u8ba1\u7b97\u65f6\u4f7f\u7528\u5408\u9002\u7684\u6570\u503c\u7c7b\u578b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u4fdd\u7559\u4e00\u4f4d\u5c0f\u6570\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u3001round\u51fd\u6570\u3001decimal\u6a21\u5757\u7b49\u3002 \u8fd9\u4e9b\u65b9 [&hellip;]","protected":false},"author":3,"featured_media":1108632,"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\/1108630"}],"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=1108630"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108630\/revisions"}],"predecessor-version":[{"id":1108634,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1108630\/revisions\/1108634"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1108632"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1108630"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1108630"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1108630"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}