{"id":1084147,"date":"2025-01-08T13:04:39","date_gmt":"2025-01-08T05:04:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1084147.html"},"modified":"2025-01-08T13:04:42","modified_gmt":"2025-01-08T05:04:42","slug":"python%e5%a6%82%e4%bd%95%e4%bf%9d%e7%95%994%e4%bd%8d%e5%b0%8f%e6%95%b0%e7%82%b9-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1084147.html","title":{"rendered":"python\u5982\u4f55\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9"},"content":{"rendered":"

\"python\u5982\u4f55\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\"<\/p>\n

\u4f7f\u7528Python\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3001round()\u51fd\u6570\u3001decimal\u6a21\u5757\u3001Numpy\u5e93\u3001Pandas\u5e93<\/strong>\u3002\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u5177\u4f53\u9009\u62e9\u53d6\u51b3\u4e8e\u4f7f\u7528\u573a\u666f\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u63cf\u8ff0\u6bcf\u79cd\u65b9\u6cd5\u5e76\u7ed9\u51fa\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b57\u7b26\u4e32\u683c\u5f0f\u5316<\/h3>\n<\/p>\n

\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u662f\u4fdd\u7559\u5c0f\u6570\u70b9\u4f4d\u6570\u7684\u5e38\u7528\u65b9\u6cd5\u4e4b\u4e00\u3002\u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u4e0d\u4ec5\u53ef\u4ee5\u63a7\u5236\u5c0f\u6570\u70b9\u540e\u7684\u4f4d\u6570\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u8fdb\u884c\u5b57\u7b26\u4e32\u62fc\u63a5\u548c\u8f93\u51fa\u3002<\/p>\n<\/p>\n

\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n

# \u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9<\/p>\n
number = 3.14159265359<\/p>\n
formatted_number = "{:.4f}".format(number)<\/p>\n
print(formatted_number)  # \u8f93\u51fa: 3.1416<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7"{:.4f}".format(number)<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6570\u5b57\u683c\u5f0f\u5316\u4e3a\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\u7684\u5b57\u7b26\u4e32\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u7b80\u5355\u6613\u7528\uff0c\u5e76\u4e14\u9002\u7528\u4e8e\u5927\u591a\u6570\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
\u4e8c\u3001round()\u51fd\u6570<\/h3>\n<\/p>\n
Python\u5185\u7f6e\u7684round()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u5c06\u6d6e\u70b9\u6570\u56db\u820d\u4e94\u5165\u5230\u6307\u5b9a\u7684\u5c0f\u6570\u4f4d\u6570\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
# \u4f7f\u7528round()\u51fd\u6570\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9<\/p>\n
number = 3.14159265359<\/p>\n
rounded_number = round(number, 4)<\/p>\n
print(rounded_number)  # \u8f93\u51fa: 3.1416<\/p>\n
<\/code><\/pre>\n<\/p>\n
round()\u51fd\u6570\u7684\u4f18\u70b9\u662f\u76f4\u63a5\u5c06\u6570\u5b57\u56db\u820d\u4e94\u5165\u5230\u6307\u5b9a\u7684\u5c0f\u6570\u4f4d\u6570\uff0c\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
\u4e09\u3001decimal\u6a21\u5757<\/h3>\n<\/p>\n
decimal<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7cbe\u5ea6\u7684\u6d6e\u70b9\u8fd0\u7b97\uff0c\u53ef\u4ee5\u907f\u514d\u5e38\u89c4\u6d6e\u70b9\u8fd0\u7b97\u4e2d\u7684\u7cbe\u5ea6\u95ee\u9898\u3002\u4f7f\u7528decimal.Decimal<\/code>\u5bf9\u8c61\u53ef\u4ee5\u7cbe\u786e\u63a7\u5236\u5c0f\u6570\u70b9\u540e\u7684\u4f4d\u6570\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
from decimal import Decimal, getcontext<\/p>\n
\u8bbe\u7f6e\u5168\u5c40\u7cbe\u5ea6<\/strong><\/h2>\n
getcontext().prec = 6<\/p>\n
\u4f7f\u7528decimal\u6a21\u5757\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9<\/strong><\/h2>\n
number = Decimal('3.14159265359')<\/p>\n
rounded_number = number.quantize(Decimal('1.0000'))<\/p>\n
print(rounded_number)  # \u8f93\u51fa: 3.1416<\/p>\n
<\/code><\/pre>\n<\/p>\n
decimal\u6a21\u5757\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u8fdb\u884c\u9ad8\u7cbe\u5ea6\u8ba1\u7b97\uff0c\u9002\u7528\u4e8e\u91d1\u878d\u548c\u79d1\u5b66\u8ba1\u7b97\u7b49\u5bf9\u7cbe\u5ea6\u8981\u6c42\u8f83\u9ad8\u7684\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
\u56db\u3001Numpy\u5e93<\/h3>\n<\/p>\n
Numpy\u662fPython\u4e2d\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\u3002\u4f7f\u7528Numpy\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u8fdb\u884c\u56db\u820d\u4e94\u5165\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import numpy as np<\/p>\n
\u4f7f\u7528Numpy\u5e93\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9<\/strong><\/h2>\n
array = np.array([3.14159265359, 2.71828182846])<\/p>\n
rounded_array = np.round(array, 4)<\/p>\n
print(rounded_array)  # \u8f93\u51fa: [3.1416 2.7183]<\/p>\n
<\/code><\/pre>\n<\/p>\n
Numpy\u5e93\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u9ad8\u6548\u5730\u5bf9\u5927\u89c4\u6a21\u6570\u636e\u8fdb\u884c\u5904\u7406\u548c\u64cd\u4f5c\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u79d1\u5b66\u8ba1\u7b97<\/strong>\u3002<\/p>\n<\/p>\n
\u4e94\u3001Pandas\u5e93<\/h3>\n<\/p>\n
Pandas\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5206\u6790\u7684\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u64cd\u4f5c\u548c\u5206\u6790\u529f\u80fd\u3002\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6570\u636e\u6846\u4e2d\u7684\u6570\u503c\u8fdb\u884c\u56db\u820d\u4e94\u5165\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u793a\u4f8b\u4ee3\u7801\uff1a<\/h4>\n<\/p>\n
import pandas as pd<\/p>\n
\u4f7f\u7528Pandas\u5e93\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9<\/strong><\/h2>\n
data = {'numbers': [3.14159265359, 2.71828182846]}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df['rounded_numbers'] = df['numbers'].round(4)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
Pandas\u5e93\u7684\u4f18\u70b9\u662f\u53ef\u4ee5\u65b9\u4fbf\u5730\u5904\u7406\u548c\u5206\u6790\u7ed3\u6784\u5316\u6570\u636e\uff0c\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u5904\u7406<\/strong>\u3002<\/p>\n<\/p>\n
\u516d\u3001\u6bd4\u8f83\u4e0e\u9009\u62e9<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\u975e\u5e38\u91cd\u8981\u3002\u4e0b\u9762\u662f\u5bf9\u4e0a\u8ff0\u65b9\u6cd5\u7684\u6bd4\u8f83\u548c\u5efa\u8bae\uff1a<\/p>\n<\/p>\n
    \n
  1. \u5b57\u7b26\u4e32\u683c\u5f0f\u5316<\/strong>\uff1a\u9002\u7528\u4e8e\u9700\u8981\u683c\u5f0f\u5316\u8f93\u51fa\u7684\u573a\u666f\uff0c\u5982\u6253\u5370\u548c\u65e5\u5fd7\u8bb0\u5f55\u3002<\/li>\n
  2. round()\u51fd\u6570<\/strong>\uff1a\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u7684\u573a\u666f\uff0c\u5982\u6570\u636e\u5206\u6790\u548c\u7edf\u8ba1\u3002<\/li>\n
  3. decimal\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u5bf9\u7cbe\u5ea6\u8981\u6c42\u8f83\u9ad8\u7684\u573a\u666f\uff0c\u5982\u91d1\u878d\u548c\u79d1\u5b66\u8ba1\u7b97\u3002<\/li>\n
  4. Numpy\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\u548c\u79d1\u5b66\u8ba1\u7b97\u3002<\/li>\n
  5. Pandas\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u7ed3\u6784\u5316\u6570\u636e\u7684\u5904\u7406\u548c\u5206\u6790\u3002<\/li>\n<\/ol>\n
    \u4e03\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n
    \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u4fdd\u7559\u5c0f\u6570\u70b9\u4f4d\u6570\u65f6\u9700\u8981\u6ce8\u610f\u4ee5\u4e0b\u51e0\u70b9\uff1a<\/p>\n<\/p>\n
      \n
    1. \u7cbe\u5ea6\u63a7\u5236<\/strong>\uff1a\u5728\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u65f6\uff0c\u786e\u4fdd\u4fdd\u7559\u8db3\u591f\u7684\u7cbe\u5ea6\u4ee5\u907f\u514d\u8bef\u5dee\u7d2f\u79ef\u3002<\/li>\n
    2. \u6570\u636e\u7c7b\u578b\u8f6c\u6362<\/strong>\uff1a\u5728\u4f7f\u7528\u4e0d\u540c\u65b9\u6cd5\u65f6\uff0c\u6ce8\u610f\u6570\u636e\u7c7b\u578b\u7684\u8f6c\u6362\u3002\u4f8b\u5982\uff0c\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u8fd4\u56de\u7684\u662f\u5b57\u7b26\u4e32\uff0c\u800cround()<\/code>\u51fd\u6570\u8fd4\u56de\u7684\u662f\u6d6e\u70b9\u6570\u3002<\/li>\n
    3. \u6027\u80fd\u8003\u8651<\/strong>\uff1a\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u9009\u62e9\u9ad8\u6548\u7684\u65b9\u6cd5\u4ee5\u63d0\u9ad8\u6027\u80fd\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Numpy\u5e93\u8fdb\u884c\u6570\u7ec4\u64cd\u4f5c\u3002<\/li>\n<\/ol>\n
      \u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
      \u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u4e2d\u975e\u5e38\u5e38\u89c1\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u9700\u6c42\u3002\u6839\u636e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6027\u80fd\u3002\u65e0\u8bba\u662f\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3001round()\u51fd\u6570\uff0c\u8fd8\u662fdecimal\u6a21\u5757\u3001Numpy\u5e93\u548cPandas\u5e93\uff0c\u90fd\u53ef\u4ee5\u6ee1\u8db3\u4e0d\u540c\u573a\u666f\u7684\u9700\u6c42\u3002\u4e86\u89e3\u6bcf\u79cd\u65b9\u6cd5\u7684\u4f18\u7f3a\u70b9\uff0c\u5e76\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7075\u6d3b\u8fd0\u7528\uff0c\u5c06\u6709\u52a9\u4e8e\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u6548\u7387<\/strong>\u3002<\/p>\n<\/p>\n
      \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
       \u5982\u4f55\u5728Python\u4e2d\u5c06\u6d6e\u70b9\u6570\u683c\u5f0f\u5316\u4e3a\u56db\u4f4d\u5c0f\u6570\uff1f<\/strong>
      \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684format()<\/code>\u51fd\u6570\u6216f-string\u6765\u683c\u5f0f\u5316\u6d6e\u70b9\u6570\u3002\u4f7f\u7528format()<\/code>\u65f6\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1aformatted_number = "{:.4f}".format(your_number)<\/code>\u3002\u5982\u679c\u4f7f\u7528f-string\uff0c\u53ef\u4ee5\u8fd9\u6837\u5199\uff1aformatted_number = f"{your_number:.4f}"<\/code>\u3002\u8fd9\u4e24\u79cd\u65b9\u5f0f\u90fd\u80fd\u6709\u6548\u4fdd\u7559\u56db\u4f4d\u5c0f\u6570\u3002<\/p>\n
      \u5728Python\u4e2d\uff0c\u5982\u4f55\u5bf9\u6d6e\u70b9\u6570\u8fdb\u884c\u56db\u820d\u4e94\u5165\u5230\u56db\u4f4d\u5c0f\u6570\uff1f<\/strong>
      \u4f7f\u7528\u5185\u7f6e\u7684round()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u6d6e\u70b9\u6570\u56db\u820d\u4e94\u5165\u5230\u6307\u5b9a\u7684\u5c0f\u6570\u4f4d\u6570\u3002\u8c03\u7528\u65b9\u5f0f\u4e3arounded_number = round(your_number, 4)<\/code>\uff0c\u8fd9\u5c06\u8fd4\u56de\u4e00\u4e2a\u4fdd\u7559\u56db\u4f4d\u5c0f\u6570\u7684\u6d6e\u70b9\u6570\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cround()<\/code>\u7684\u8fd4\u56de\u503c\u53ef\u80fd\u662f\u6d6e\u70b9\u6570\u800c\u975e\u5b57\u7b26\u4e32\u683c\u5f0f\u3002<\/p>\n
      \u5728Python\u4e2d\uff0c\u5982\u4f55\u5904\u7406\u663e\u793a\u56db\u4f4d\u5c0f\u6570\u7684\u60c5\u51b5\uff0c\u907f\u514d\u51fa\u73b0\u79d1\u5b66\u8ba1\u6570\u6cd5\uff1f<\/strong>
      \u4e3a\u4e86\u907f\u514d\u6d6e\u70b9\u6570\u663e\u793a\u4e3a\u79d1\u5b66\u8ba1\u6570\u6cd5\uff0c\u53ef\u4ee5\u4f7f\u7528format()<\/code>\u6216f-string\u7ed3\u5408decimal<\/code>\u6a21\u5757\u3002\u9996\u5148\uff0c\u5bfc\u5165decimal<\/code>\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528Decimal<\/code>\u7c7b\u548cquantize()<\/code>\u65b9\u6cd5\u6765\u63a7\u5236\u5c0f\u6570\u4f4d\u6570\u3002\u4f8b\u5982\uff1afrom decimal import Decimal<\/code>\uff0c\u63a5\u7740\uff0cresult = Decimal(your_number).quantize(Decimal('0.0001'))<\/code>\uff0c\u8fd9\u6837\u5c31\u80fd\u786e\u4fdd\u6570\u5b57\u4ee5\u56db\u4f4d\u5c0f\u6570\u7684\u5f62\u5f0f\u663e\u793a\uff0c\u800c\u4e0d\u4f1a\u51fa\u73b0\u79d1\u5b66\u8ba1\u6570\u6cd5\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u4fdd\u75594\u4f4d\u5c0f\u6570\u70b9\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u3001round()\u51fd\u6570\u3001decimal\u6a21\u5757\u3001Numpy […]","protected":false},"author":3,"featured_media":1084155,"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\/1084147"}],"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=1084147"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1084147\/revisions"}],"predecessor-version":[{"id":1084160,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1084147\/revisions\/1084160"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1084155"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1084147"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1084147"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1084147"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}