{"id":1025739,"date":"2024-12-31T10:36:31","date_gmt":"2024-12-31T02:36:31","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1025739.html"},"modified":"2024-12-31T10:36:35","modified_gmt":"2024-12-31T02:36:35","slug":"%e6%b5%ae%e7%82%b9%e6%95%b0%e5%9c%a8python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%a1%a8%e7%a4%ba","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1025739.html","title":{"rendered":"\u6d6e\u70b9\u6570\u5728python\u4e2d\u5982\u4f55\u8868\u793a"},"content":{"rendered":"

\"\u6d6e\u70b9\u6570\u5728python\u4e2d\u5982\u4f55\u8868\u793a\"<\/p>\n

\u6d6e\u70b9\u6570\u5728Python\u4e2d\u901a\u8fc7\u4f7f\u7528float<\/code>\u6570\u636e\u7c7b\u578b\u6765\u8868\u793a\uff0cPython\u4e2d\u6d6e\u70b9\u6570\u7684\u8868\u793a\u65b9\u6cd5\u3001\u7cbe\u5ea6\u9650\u5236\u3001\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a\u3001\u5e38\u89c1\u64cd\u4f5c\u3001\u5904\u7406\u7cbe\u5ea6\u95ee\u9898<\/strong>\u3002\u8fd9\u4e9b\u662f\u6211\u4eec\u5728\u4f7f\u7528Python\u7f16\u7a0b\u65f6\u9700\u8981\u4e86\u89e3\u7684\u6838\u5fc3\u6982\u5ff5\u3002\u63a5\u4e0b\u6765\u6211\u5c06\u8be6\u7ec6\u89e3\u91ca\u5176\u4e2d\u7684\u7cbe\u5ea6\u9650\u5236\u3002<\/p>\n<\/p>\n

\u6d6e\u70b9\u6570\u5728\u8ba1\u7b97\u673a\u4e2d\u7684\u8868\u793a\u65b9\u5f0f\u4f1a\u6709\u7cbe\u5ea6\u9650\u5236\uff0c\u8fd9\u662f\u56e0\u4e3a\u6d6e\u70b9\u6570\u662f\u901a\u8fc7\u5728\u4e8c\u8fdb\u5236\u7cfb\u7edf\u4e2d\u8fd1\u4f3c\u8868\u793a\u7684\u5c0f\u6570\u800c\u5b9e\u73b0\u7684\u3002\u5728Python\u4e2d\uff0c\u6d6e\u70b9\u6570\u662f\u57fa\u4e8eIEEE 754\u6807\u51c6\u5b9e\u73b0\u7684\uff0c\u8fd9\u610f\u5473\u7740\u5b83\u4eec\u7684\u7cbe\u5ea6\u9650\u5236\u5728\u5927\u7ea615\u523017\u4e2a\u5341\u8fdb\u5236\u6570\u5b57\u4e4b\u95f4\u3002\u56e0\u6b64\uff0c\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\uff0c\u6709\u65f6\u4f1a\u51fa\u73b0\u65e0\u6cd5\u7cbe\u786e\u8868\u793a\u67d0\u4e9b\u5341\u8fdb\u5236\u5c0f\u6570\u7684\u95ee\u9898\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u6d6e\u70b9\u6570\u7684\u8868\u793a\u65b9\u6cd5<\/h2>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u6d6e\u70b9\u6570\u662f\u901a\u8fc7\u4f7f\u7528float<\/code>\u6570\u636e\u7c7b\u578b\u6765\u8868\u793a\u7684\u3002\u4efb\u4f55\u5e26\u6709\u5c0f\u6570\u70b9\u7684\u6570\u5b57\u9ed8\u8ba4\u4f1a\u88ab\u89e3\u91ca\u4e3a\u6d6e\u70b9\u6570\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

a = 3.14<\/p>\n
b = 2.0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6b64\u5916\uff0c\u53ef\u4ee5\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a\u6d6e\u70b9\u6570\uff1a<\/p>\n<\/p>\n
c = 1.23e4  # \u76f8\u5f53\u4e8e12300.0<\/p>\n
d = 4.56e-2  # \u76f8\u5f53\u4e8e0.0456<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6d6e\u70b9\u6570\u53ef\u4ee5\u8868\u793a\u975e\u5e38\u5927\u6216\u975e\u5e38\u5c0f\u7684\u6570\u5b57\uff0c\u8fd9\u4f7f\u5f97\u5b83\u4eec\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u5e94\u7528\u4e2d\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u9650\u5236<\/h2>\n<\/p>\n
\u5982\u524d\u6587\u6240\u8ff0\uff0c\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u9650\u5236\u662f\u57fa\u4e8eIEEE 754\u6807\u51c6\u7684\u3002\u5728Python\u4e2d\uff0c\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u7ea6\u4e3a15\u523017\u4e2a\u5341\u8fdb\u5236\u4f4d\u3002\u8fd9\u610f\u5473\u7740\u5728\u8fdb\u884c\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\u65f6\uff0c\u53ef\u80fd\u4f1a\u51fa\u73b0\u7cbe\u5ea6\u4e22\u5931\u7684\u95ee\u9898\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
a = 1.0000000000000001<\/p>\n
b = 1.0000000000000002<\/p>\n
print(a == b)  # \u8f93\u51fa: True<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u7531\u4e8e\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u9650\u5236\uff0c\u4e24\u4e2a\u770b\u4f3c\u4e0d\u540c\u7684\u6570\u5b57\u88ab\u8ba4\u4e3a\u662f\u76f8\u540c\u7684\u3002\u8fd9\u662f\u56e0\u4e3a\u5b83\u4eec\u5728\u8868\u793a\u65f6\u8d85\u51fa\u4e86\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u8303\u56f4\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a<\/h2>\n<\/p>\n
\u79d1\u5b66\u8ba1\u6570\u6cd5\u662f\u4e00\u79cd\u8868\u793a\u975e\u5e38\u5927\u6216\u975e\u5e38\u5c0f\u7684\u6570\u5b57\u7684\u7b80\u4fbf\u65b9\u6cd5\u3002\u5728Python\u4e2d\uff0c\u79d1\u5b66\u8ba1\u6570\u6cd5\u4f7f\u7528\u5b57\u6bcde<\/code>\u6216E<\/code>\u6765\u8868\u793a10\u7684\u5e42\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
x = 6.022e23  # \u963f\u4f0f\u4f3d\u5fb7\u7f57\u5e38\u6570<\/p>\n
y = 1.6e-19  # \u7535\u5b50\u7535\u8377<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u79d1\u5b66\u8ba1\u6570\u6cd5\u53ef\u4ee5\u4f7f\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u548c\u6613\u8bfb\uff0c\u7279\u522b\u662f\u5728\u5904\u7406\u7269\u7406\u5e38\u6570\u6216\u5176\u4ed6\u79d1\u5b66\u6570\u636e\u65f6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u6d6e\u70b9\u6570\u7684\u5e38\u89c1\u64cd\u4f5c<\/h2>\n<\/p>\n
Python\u63d0\u4f9b\u4e86\u8bb8\u591a\u7528\u4e8e\u64cd\u4f5c\u6d6e\u70b9\u6570\u7684\u5185\u7f6e\u51fd\u6570\u548c\u65b9\u6cd5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
    \n
  1. \u56db\u820d\u4e94\u5165<\/strong>\uff1a\u4f7f\u7528round()<\/code>\u51fd\u6570\u5c06\u6d6e\u70b9\u6570\u56db\u820d\u4e94\u5165\u5230\u6307\u5b9a\u7684\u5c0f\u6570\u4f4d\u6570\u3002<\/li>\n<\/ol>\n
    a = 3.14159<\/p>\n
    print(round(a, 2))  # \u8f93\u51fa: 3.14<\/p>\n
    <\/code><\/pre>\n<\/p>\n
      \n
    1. \u53d6\u6574<\/strong>\uff1a\u4f7f\u7528int()<\/code>\u51fd\u6570\u5c06\u6d6e\u70b9\u6570\u8f6c\u6362\u4e3a\u6574\u6570\uff08\u622a\u65ad\u5c0f\u6570\u90e8\u5206\uff09\u3002<\/li>\n<\/ol>\n
      b = 2.71828<\/p>\n
      print(int(b))  # \u8f93\u51fa: 2<\/p>\n
      <\/code><\/pre>\n<\/p>\n
        \n
      1. \u7edd\u5bf9\u503c<\/strong>\uff1a\u4f7f\u7528abs()<\/code>\u51fd\u6570\u83b7\u53d6\u6d6e\u70b9\u6570\u7684\u7edd\u5bf9\u503c\u3002<\/li>\n<\/ol>\n
        c = -1.23<\/p>\n
        print(abs(c))  # \u8f93\u51fa: 1.23<\/p>\n
        <\/code><\/pre>\n<\/p>\n
          \n
        1. \u6700\u5927\u503c\u548c\u6700\u5c0f\u503c<\/strong>\uff1a\u4f7f\u7528max()<\/code>\u548cmin()<\/code>\u51fd\u6570\u83b7\u53d6\u591a\u4e2a\u6d6e\u70b9\u6570\u4e2d\u7684\u6700\u5927\u503c\u548c\u6700\u5c0f\u503c\u3002<\/li>\n<\/ol>\n
          d = 4.56<\/p>\n
          e = 7.89<\/p>\n
          print(max(d, e))  # \u8f93\u51fa: 7.89<\/p>\n
          print(min(d, e))  # \u8f93\u51fa: 4.56<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u4e94\u3001\u5904\u7406\u6d6e\u70b9\u6570\u7cbe\u5ea6\u95ee\u9898<\/h2>\n<\/p>\n
          \u7531\u4e8e\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u9650\u5236\uff0c\u6709\u65f6\u9700\u8981\u91c7\u53d6\u4e00\u4e9b\u63aa\u65bd\u6765\u5904\u7406\u7cbe\u5ea6\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u51e0\u79cd\u5e38\u89c1\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
            \n
          1. \u4f7f\u7528decimal<\/code>\u6a21\u5757<\/strong>\uff1aPython\u7684decimal<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u9ad8\u7cbe\u5ea6\u7684\u5341\u8fdb\u5236\u6d6e\u70b9\u6570\uff0c\u53ef\u4ee5\u907f\u514d\u4f20\u7edf\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u95ee\u9898\u3002<\/li>\n<\/ol>\n
            from decimal import Decimal<\/p>\n
            a = Decimal('1.0000000000000001')<\/p>\n
            b = Decimal('1.0000000000000002')<\/p>\n
            print(a == b)  # \u8f93\u51fa: False<\/p>\n
            <\/code><\/pre>\n<\/p>\n
              \n
            1. \u4f7f\u7528math<\/code>\u6a21\u5757\u4e2d\u7684isclose<\/code>\u51fd\u6570<\/strong>\uff1a\u5728\u6bd4\u8f83\u4e24\u4e2a\u6d6e\u70b9\u6570\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528math.isclose<\/code>\u51fd\u6570\u6765\u5224\u65ad\u5b83\u4eec\u662f\u5426\u63a5\u8fd1\u3002<\/li>\n<\/ol>\n
              import math<\/p>\n
              a = 1.0000000000000001<\/p>\n
              b = 1.0000000000000002<\/p>\n
              print(math.isclose(a, b))  # \u8f93\u51fa: True<\/p>\n
              <\/code><\/pre>\n<\/p>\n
                \n
              1. \u907f\u514d\u7d2f\u79ef\u8bef\u5dee<\/strong>\uff1a\u5728\u8fdb\u884c\u5927\u91cf\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\uff0c\u7d2f\u79ef\u8bef\u5dee\u53ef\u80fd\u4f1a\u5bfc\u81f4\u7ed3\u679c\u4e0d\u51c6\u786e\u3002\u53ef\u4ee5\u901a\u8fc7\u91cd\u6392\u5e8f\u8ba1\u7b97\u6b65\u9aa4\u6216\u4f7f\u7528\u66f4\u9ad8\u7cbe\u5ea6\u7684\u6570\u636e\u7c7b\u578b\u6765\u51cf\u5c11\u8bef\u5dee\u3002<\/li>\n<\/ol>\n
                # \u793a\u4f8b\uff1a\u91cd\u6392\u5e8f\u8ba1\u7b97\u6b65\u9aa4<\/p>\n
                a = 1.0e-10<\/p>\n
                b = 1.0e10<\/p>\n
                c = a + b<\/p>\n
                d = b + a<\/p>\n
                print(c == d)  # \u8f93\u51fa: True<\/p>\n
                <\/code><\/pre>\n<\/p>\n
                \u901a\u8fc7\u7406\u89e3\u548c\u5904\u7406\u6d6e\u70b9\u6570\u7684\u7cbe\u5ea6\u9650\u5236\uff0c\u53ef\u4ee5\u5728Python\u4e2d\u66f4\u51c6\u786e\u5730\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\uff0c\u907f\u514d\u6f5c\u5728\u7684\u9519\u8bef\u3002<\/p>\n<\/p>\n
                \u516d\u3001\u6d6e\u70b9\u6570\u7684\u7c7b\u578b\u8f6c\u6362<\/h2>\n<\/p>\n
                \u5728Python\u4e2d\uff0c\u6d6e\u70b9\u6570\u53ef\u4ee5\u4e0e\u5176\u4ed6\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u8f6c\u6362\u3002\u8fd9\u5728\u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\u65f6\u975e\u5e38\u6709\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                  \n
                1. \u6574\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570<\/strong>\uff1a\u4f7f\u7528float()<\/code>\u51fd\u6570\u5c06\u6574\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002<\/li>\n<\/ol>\n
                  a = 42<\/p>\n
                  b = float(a)<\/p>\n
                  print(b)  # \u8f93\u51fa: 42.0<\/p>\n
                  <\/code><\/pre>\n<\/p>\n
                    \n
                  1. \u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570<\/strong>\uff1a\u4f7f\u7528float()<\/code>\u51fd\u6570\u5c06\u8868\u793a\u6570\u5b57\u7684\u5b57\u7b26\u4e32\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u3002<\/li>\n<\/ol>\n
                    s = "3.14159"<\/p>\n
                    pi = float(s)<\/p>\n
                    print(pi)  # \u8f93\u51fa: 3.14159<\/p>\n
                    <\/code><\/pre>\n<\/p>\n
                      \n
                    1. \u6d6e\u70b9\u6570\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32<\/strong>\uff1a\u4f7f\u7528str()<\/code>\u51fd\u6570\u5c06\u6d6e\u70b9\u6570\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u3002<\/li>\n<\/ol>\n
                      f = 2.71828<\/p>\n
                      s = str(f)<\/p>\n
                      print(s)  # \u8f93\u51fa: "2.71828"<\/p>\n
                      <\/code><\/pre>\n<\/p>\n
                      \u4e03\u3001\u6d6e\u70b9\u6570\u7684\u8868\u793a\u8303\u56f4<\/h2>\n<\/p>\n
                      \u6d6e\u70b9\u6570\u7684\u8868\u793a\u8303\u56f4\u53d6\u51b3\u4e8e\u5e95\u5c42\u7684\u8ba1\u7b97\u673a\u7cfb\u7edf\u548cPython\u7684\u5b9e\u73b0\u3002\u5728\u5927\u591a\u6570\u7cfb\u7edf\u4e0a\uff0c\u6d6e\u70b9\u6570\u53ef\u4ee5\u8868\u793a\u7684\u6700\u5927\u503c\u548c\u6700\u5c0f\u503c\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
                        \n
                      1. \u6700\u5927\u503c<\/strong>\uff1a\u4f7f\u7528sys.float_info.max<\/code>\u83b7\u53d6\u7cfb\u7edf\u80fd\u8868\u793a\u7684\u6700\u5927\u6d6e\u70b9\u6570\u3002<\/li>\n<\/ol>\n
                        import sys<\/p>\n
                        print(sys.float_info.max)  # \u8f93\u51fa: 1.7976931348623157e+308<\/p>\n
                        <\/code><\/pre>\n<\/p>\n
                          \n
                        1. \u6700\u5c0f\u503c<\/strong>\uff1a\u4f7f\u7528sys.float_info.min<\/code>\u83b7\u53d6\u7cfb\u7edf\u80fd\u8868\u793a\u7684\u6700\u5c0f\u6b63\u6d6e\u70b9\u6570\u3002<\/li>\n<\/ol>\n
                          import sys<\/p>\n
                          print(sys.float_info.min)  # \u8f93\u51fa: 2.2250738585072014e-308<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          \u4e86\u89e3\u6d6e\u70b9\u6570\u7684\u8868\u793a\u8303\u56f4\u5bf9\u4e8e\u907f\u514d\u6ea2\u51fa\u548c\u4e0b\u6ea2\u95ee\u9898\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n
                          \u516b\u3001\u6d6e\u70b9\u6570\u4e0e\u590d\u6570<\/h2>\n<\/p>\n
                          Python\u8fd8\u652f\u6301\u590d\u6570\u6570\u636e\u7c7b\u578b\uff0c\u5176\u4e2d\u6d6e\u70b9\u6570\u53ef\u4ee5\u4f5c\u4e3a\u590d\u6570\u7684\u5b9e\u90e8\u548c\u865a\u90e8\u3002\u590d\u6570\u5728\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u5e94\u7528\u4e2d\u975e\u5e38\u5e38\u89c1\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                          z = 3.14 + 2.73j<\/p>\n
                          print(z.real)  # \u8f93\u51fa: 3.14<\/p>\n
                          print(z.imag)  # \u8f93\u51fa: 2.73<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          \u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684complex()<\/code>\u51fd\u6570\u521b\u5efa\u590d\u6570\uff1a<\/p>\n<\/p>\n
                          a = 1.0<\/p>\n
                          b = 2.0<\/p>\n
                          z = complex(a, b)<\/p>\n
                          print(z)  # \u8f93\u51fa: (1+2j)<\/p>\n
                          <\/code><\/pre>\n<\/p>\n
                          \u4e5d\u3001\u6d6e\u70b9\u6570\u8fd0\u7b97\u4e2d\u7684\u7279\u6b8a\u503c<\/h2>\n<\/p>\n
                          \u5728\u6d6e\u70b9\u6570\u8fd0\u7b97\u4e2d\uff0c\u6709\u51e0\u4e2a\u7279\u6b8a\u503c\u9700\u8981\u6ce8\u610f\uff0c\u5305\u62ec\u65e0\u7a77\u5927\u548c\u975e\u6570\u5b57\uff08NaN\uff09\u3002\u8fd9\u4e9b\u7279\u6b8a\u503c\u5728\u5904\u7406\u5f02\u5e38\u60c5\u51b5\u65f6\u975e\u5e38\u6709\u7528\uff1a<\/p>\n<\/p>\n
                            \n
                          1. \u65e0\u7a77\u5927<\/strong>\uff1a\u4f7f\u7528float('inf')<\/code>\u6216float('-inf')<\/code>\u8868\u793a\u6b63\u65e0\u7a77\u5927\u548c\u8d1f\u65e0\u7a77\u5927\u3002<\/li>\n<\/ol>\n
                            inf = float('inf')<\/p>\n
                            neg_inf = float('-inf')<\/p>\n
                            print(inf > 1e308)  # \u8f93\u51fa: True<\/p>\n
                            print(neg_inf < -1e308)  # \u8f93\u51fa: True<\/p>\n
                            <\/code><\/pre>\n<\/p>\n
                              \n
                            1. \u975e\u6570\u5b57\uff08NaN\uff09<\/strong>\uff1a\u4f7f\u7528float('nan')<\/code>\u8868\u793a\u975e\u6570\u5b57\u503c\u3002<\/li>\n<\/ol>\n
                              nan = float('nan')<\/p>\n
                              print(nan == nan)  # \u8f93\u51fa: False<\/p>\n
                              print(math.isnan(nan))  # \u8f93\u51fa: True<\/p>\n
                              <\/code><\/pre>\n<\/p>\n
                              \u8fd9\u4e9b\u7279\u6b8a\u503c\u5728\u5904\u7406\u9519\u8bef\u548c\u5f02\u5e38\u60c5\u51b5\u65f6\u975e\u5e38\u6709\u7528\uff0c\u53ef\u4ee5\u5e2e\u52a9\u907f\u514d\u7a0b\u5e8f\u5d29\u6e83\u3002<\/p>\n<\/p>\n
                              \u5341\u3001\u6d6e\u70b9\u6570\u7684\u6027\u80fd\u8003\u8651<\/h2>\n<\/p>\n
                              \u6d6e\u70b9\u6570\u8fd0\u7b97\u5728\u73b0\u4ee3\u8ba1\u7b97\u673a\u4e0a\u901a\u5e38\u975e\u5e38\u9ad8\u6548\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u6027\u80fd\u8fdb\u884c\u4f18\u5316\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
                                \n
                              1. \u907f\u514d\u4e0d\u5fc5\u8981\u7684\u6d6e\u70b9\u6570\u8f6c\u6362<\/strong>\uff1a\u5728\u8fdb\u884c\u5927\u91cf\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\uff0c\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u7c7b\u578b\u8f6c\u6362\u53ef\u4ee5\u63d0\u9ad8\u6027\u80fd\u3002<\/li>\n<\/ol>\n
                                # \u4e0d\u63a8\u8350<\/p>\n
                                a = float(42)<\/p>\n
                                b = 3.14<\/p>\n
                                result = a * b<\/p>\n
                                \u63a8\u8350<\/strong><\/h2>\n
                                a = 42.0<\/p>\n
                                result = a * b<\/p>\n
                                <\/code><\/pre>\n<\/p>\n
                                  \n
                                1. \u4f7f\u7528NumPy\u5e93<\/strong>\uff1a\u5bf9\u4e8e\u5927\u91cf\u7684\u6d6e\u70b9\u6570\u8fd0\u7b97\uff0c\u4f7f\u7528NumPy\u5e93\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002NumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u4e13\u95e8\u4f18\u5316\u4e86\u6d6e\u70b9\u6570\u8fd0\u7b97\u3002<\/li>\n<\/ol>\n
                                  import numpy as np<\/p>\n
                                  array = np.array([1.0, 2.0, 3.0, 4.0])<\/p>\n
                                  result = np.sqrt(array)<\/p>\n
                                  print(result)  # \u8f93\u51fa: [1.  1.41421356 1.73205081 2. ]<\/p>\n
                                  <\/code><\/pre>\n<\/p>\n
                                  \u901a\u8fc7\u4f18\u5316\u6d6e\u70b9\u6570\u8fd0\u7b97\uff0c\u53ef\u4ee5\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\u83b7\u5f97\u663e\u8457\u7684\u6027\u80fd\u63d0\u5347\u3002<\/p>\n<\/p>\n
                                  \u603b\u7ed3<\/h2>\n<\/p>\n
                                  \u6d6e\u70b9\u6570\u5728Python\u4e2d\u662f\u901a\u8fc7float<\/code>\u6570\u636e\u7c7b\u578b\u6765\u8868\u793a\u7684\uff0c\u5177\u6709\u4e00\u5b9a\u7684\u7cbe\u5ea6\u9650\u5236\u3002\u5728\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97\u65f6\uff0c\u9700\u8981\u8003\u8651\u7cbe\u5ea6\u95ee\u9898\uff0c\u5e76\u91c7\u53d6\u76f8\u5e94\u7684\u63aa\u65bd\u6765\u5904\u7406\u3002\u6b64\u5916\uff0cPython\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5185\u7f6e\u51fd\u6570\u548c\u5e93\u6765\u64cd\u4f5c\u6d6e\u70b9\u6570\uff0c\u5e76\u652f\u6301\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868\u793a\u3001\u590d\u6570\u8fd0\u7b97\u548c\u7279\u6b8a\u503c\u5904\u7406\u3002\u901a\u8fc7\u7406\u89e3\u8fd9\u4e9b\u6982\u5ff5\uff0c\u53ef\u4ee5\u66f4\u51c6\u786e\u548c\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
                                  \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                                   \u6d6e\u70b9\u6570\u5728Python\u4e2d\u6709\u54ea\u4e9b\u57fa\u672c\u8868\u793a\u65b9\u5f0f\uff1f<\/strong>
                                  \u5728Python\u4e2d\uff0c\u6d6e\u70b9\u6570\u901a\u5e38\u662f\u901a\u8fc7\u6570\u5b57\u540e\u9762\u52a0\u4e0a\u5c0f\u6570\u70b9\u6765\u8868\u793a\u7684\uff0c\u4f8b\u59823.14\u30010.001\u7b49\u3002\u60a8\u8fd8\u53ef\u4ee5\u4f7f\u7528\u79d1\u5b66\u8ba1\u6570\u6cd5\u6765\u8868\u793a\u6d6e\u70b9\u6570\uff0c\u6bd4\u59821.5e2\u8868\u793a150.0\uff0c2.5e-3\u8868\u793a0.0025\u3002\u6b64\u5916\uff0cPython\u7684\u6d6e\u70b9\u6570\u9075\u5faaIEEE 754\u6807\u51c6\uff0c\u786e\u4fdd\u4e86\u8de8\u5e73\u53f0\u7684\u4e00\u81f4\u6027\u3002<\/p>\n
                                  \u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u6d6e\u70b9\u6570\u8fd0\u7b97\uff1f<\/strong>
                                  Python\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8fd0\u7b97\u7b26\u6765\u5904\u7406\u6d6e\u70b9\u6570\uff0c\u5982\u52a0\u6cd5\uff08+\uff09\u3001\u51cf\u6cd5\uff08-\uff09\u3001\u4e58\u6cd5\uff08*\uff09\u548c\u9664\u6cd5\uff08\/\uff09\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u6d6e\u70b9\u6570\u8fd0\u7b97\u53ef\u80fd\u4f1a\u51fa\u73b0\u7cbe\u5ea6\u95ee\u9898\uff0c\u4f8b\u59820.1 + 0.2\u4e0d\u7b49\u4e8e0.3\u3002\u4e3a\u4e86\u5904\u7406\u6b64\u7c7b\u95ee\u9898\uff0c\u53ef\u4ee5\u4f7f\u7528Decimal\u6a21\u5757\u6765\u63d0\u9ad8\u7cbe\u5ea6\u3002<\/p>\n
                                  \u6d6e\u70b9\u6570\u5728Python\u4e2d\u53ef\u80fd\u9047\u5230\u54ea\u4e9b\u5e38\u89c1\u95ee\u9898\uff1f<\/strong>
                                  \u4f7f\u7528\u6d6e\u70b9\u6570\u65f6\uff0c\u5e38\u89c1\u7684\u95ee\u9898\u5305\u62ec\u7cbe\u5ea6\u8bef\u5dee\u548c\u7c7b\u578b\u8f6c\u6362\u95ee\u9898\u3002\u7531\u4e8e\u6d6e\u70b9\u6570\u5728\u8ba1\u7b97\u673a\u5185\u90e8\u7684\u8868\u793a\u65b9\u5f0f\uff0c\u67d0\u4e9b\u6570\u5b57\u53ef\u80fd\u65e0\u6cd5\u7cbe\u786e\u8868\u793a\u3002\u6b64\u5916\uff0c\u8fdb\u884c\u6d6e\u70b9\u6570\u548c\u6574\u6570\u4e4b\u95f4\u7684\u8f6c\u6362\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u4f7f\u7528\u5185\u7f6e\u51fd\u6570\u5982float()\u548cint()\uff0c\u4ee5\u786e\u4fdd\u7ed3\u679c\u7b26\u5408\u9884\u671f\u3002\u4e86\u89e3\u8fd9\u4e9b\u95ee\u9898\u6709\u52a9\u4e8e\u907f\u514d\u5728\u7f16\u7a0b\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u4e0d\u5fc5\u8981\u7684\u9519\u8bef\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u6d6e\u70b9\u6570\u5728Python\u4e2d\u901a\u8fc7\u4f7f\u7528float\u6570\u636e\u7c7b\u578b\u6765\u8868\u793a\uff0cPython\u4e2d\u6d6e\u70b9\u6570\u7684\u8868\u793a\u65b9\u6cd5\u3001\u7cbe\u5ea6\u9650\u5236\u3001\u79d1\u5b66\u8ba1\u6570\u6cd5\u8868 […]","protected":false},"author":3,"featured_media":1025743,"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\/1025739"}],"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=1025739"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1025739\/revisions"}],"predecessor-version":[{"id":1025745,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1025739\/revisions\/1025745"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1025743"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1025739"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1025739"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1025739"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}