{"id":1016371,"date":"2024-12-27T12:15:51","date_gmt":"2024-12-27T04:15:51","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1016371.html"},"modified":"2024-12-27T12:16:05","modified_gmt":"2024-12-27T04:16:05","slug":"python-%e5%a4%8d%e6%95%b0%e6%98%af%e5%a6%82%e4%bd%95%e5%ad%98%e5%9c%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1016371.html","title":{"rendered":"python \u590d\u6570\u662f\u5982\u4f55\u5b58\u5728"},"content":{"rendered":"

\"python<\/p>\n

\u5728Python\u4e2d\uff0c\u590d\u6570\u4ee5a + bj<\/code>\u7684\u5f62\u5f0f\u5b58\u5728\uff0c\u5176\u4e2da<\/code>\u662f\u5b9e\u90e8\uff0cb<\/code>\u662f\u865a\u90e8\uff0cj<\/code>\u8868\u793a\u865a\u6570\u5355\u4f4d\u3002Python\u5185\u7f6e\u590d\u6570\u7c7b\u578b\uff0c\u4f7f\u5f97\u5bf9\u590d\u6570\u7684\u64cd\u4f5c\u548c\u8ba1\u7b97\u53d8\u5f97\u7b80\u5355\u3001\u76f4\u89c2\u3002Python\u901a\u8fc7complex<\/code>\u51fd\u6570\u6765\u521b\u5efa\u590d\u6570\uff0c\u652f\u6301\u590d\u6570\u7684\u52a0\u51cf\u4e58\u9664\u7b49\u8fd0\u7b97\uff0c\u8fd8\u63d0\u4f9b\u4e86\u7528\u4e8e\u5904\u7406\u590d\u6570\u7684\u6807\u51c6\u5e93\uff0c\u5982cmath<\/code>\u3002<\/strong>\u5728\u4f7f\u7528\u590d\u6570\u65f6\uff0c\u7406\u89e3\u5176\u8868\u793a\u65b9\u5f0f\u3001\u6570\u5b66\u8fd0\u7b97\u89c4\u5219\u4ee5\u53caPython\u63d0\u4f9b\u7684\u51fd\u6570\u548c\u65b9\u6cd5\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002<\/p>\n<\/p>\n

\u4e00\u3001PYTHON\u590d\u6570\u7684\u8868\u793a\u65b9\u5f0f<\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u590d\u6570\u901a\u8fc7\u5185\u7f6e\u7684complex<\/code>\u7c7b\u578b\u8868\u793a\u3002\u4e00\u4e2a\u590d\u6570\u53ef\u4ee5\u901a\u8fc7\u4e24\u79cd\u65b9\u5f0f\u521b\u5efa\uff1a\u76f4\u63a5\u6307\u5b9a\u5b9e\u90e8\u548c\u865a\u90e8\uff0c\u6216\u8005\u4f7f\u7528complex()<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n

    \n
  1. \n

    \u76f4\u63a5\u6307\u5b9a\u65b9\u5f0f<\/strong><\/p>\n<\/p>\n

    \u590d\u6570\u53ef\u4ee5\u901a\u8fc7a + bj<\/code>\u7684\u5f62\u5f0f\u76f4\u63a5\u5b9a\u4e49\u3002\u5176\u4e2d\uff0ca<\/code>\u4e3a\u5b9e\u90e8\uff0cb<\/code>\u4e3a\u865a\u90e8\uff0cj<\/code>\u662f\u865a\u6570\u5355\u4f4d\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    z = 3 + 4j<\/p>\n
    print(z)  # \u8f93\u51fa\uff1a (3+4j)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c3\u662f\u5b9e\u90e8\uff0c4\u662f\u865a\u90e8\uff0cj<\/code>\u662f\u865a\u6570\u5355\u4f4d\u3002<\/p>\n<\/p>\n<\/li>\n
  2. \n
    \u4f7f\u7528complex()<\/code>\u51fd\u6570<\/strong><\/p>\n<\/p>\n
    Python\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5185\u7f6e\u51fd\u6570complex(real, imag)<\/code>\u7528\u4e8e\u521b\u5efa\u590d\u6570\uff0c\u5176\u4e2dreal<\/code>\u548cimag<\/code>\u5206\u522b\u8868\u793a\u590d\u6570\u7684\u5b9e\u90e8\u548c\u865a\u90e8\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    z = complex(3, 4)<\/p>\n
    print(z)  # \u8f93\u51fa\uff1a (3+4j)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u79cd\u65b9\u5f0f\u5728\u5904\u7406\u53d8\u91cf\u6216\u4ece\u5176\u4ed6\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u590d\u6570\u65f6\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
    \u4e8c\u3001\u590d\u6570\u7684\u57fa\u672c\u5c5e\u6027\u548c\u65b9\u6cd5<\/p>\n<\/p>\n
    \u5728Python\u4e2d\uff0c\u590d\u6570\u5177\u6709\u4e00\u4e9b\u57fa\u672c\u5c5e\u6027\u548c\u65b9\u6cd5\uff0c\u4fbf\u4e8e\u83b7\u53d6\u590d\u6570\u7684\u5b9e\u90e8\u3001\u865a\u90e8\u4ee5\u53ca\u8fdb\u884c\u5e38\u89c1\u7684\u6570\u5b66\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
      \n
    1. \n
      \u83b7\u53d6\u5b9e\u90e8\u548c\u865a\u90e8<\/strong><\/p>\n<\/p>\n
      \u590d\u6570\u7684\u5b9e\u90e8\u548c\u865a\u90e8\u53ef\u4ee5\u901a\u8fc7real<\/code>\u548cimag<\/code>\u5c5e\u6027\u83b7\u53d6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
      z = 3 + 4j<\/p>\n
      print(z.real)  # \u8f93\u51fa\uff1a 3.0<\/p>\n
      print(z.imag)  # \u8f93\u51fa\uff1a 4.0<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      real<\/code>\u548cimag<\/code>\u5c5e\u6027\u8fd4\u56de\u7684\u90fd\u662f\u6d6e\u70b9\u6570\uff0c\u5373\u4f7f\u539f\u59cb\u5b9a\u4e49\u4e2d\u7684\u5b9e\u90e8\u548c\u865a\u90e8\u90fd\u662f\u6574\u6570\u3002<\/p>\n<\/p>\n<\/li>\n
    2. \n
      \u5171\u8f6d\u590d\u6570<\/strong><\/p>\n<\/p>\n
      \u5171\u8f6d\u590d\u6570\u662f\u5c06\u590d\u6570\u7684\u865a\u90e8\u53d6\u8d1f\u800c\u5f97\u5230\u7684\u65b0\u590d\u6570\u3002Python\u63d0\u4f9b\u4e86conjugate()<\/code>\u65b9\u6cd5\u7528\u4e8e\u83b7\u53d6\u5171\u8f6d\u590d\u6570\uff1a<\/p>\n<\/p>\n
      z = 3 + 4j<\/p>\n
      z_conjugate = z.conjugate()<\/p>\n
      print(z_conjugate)  # \u8f93\u51fa\uff1a (3-4j)<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u8fd9\u4e2a\u65b9\u6cd5\u5728\u5904\u7406\u590d\u6570\u8fd0\u7b97\u65f6\u975e\u5e38\u6709\u7528\uff0c\u5c24\u5176\u662f\u5728\u5206\u6bcd\u5305\u542b\u590d\u6570\u7684\u9664\u6cd5\u8fd0\u7b97\u4e2d\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
      \u4e09\u3001\u590d\u6570\u7684\u6570\u5b66\u8fd0\u7b97<\/p>\n<\/p>\n
      Python\u652f\u6301\u5bf9\u590d\u6570\u8fdb\u884c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\uff0c\u5305\u62ec\u52a0\u3001\u51cf\u3001\u4e58\u3001\u9664\u7b49\u3002\u8fd9\u4e9b\u8fd0\u7b97\u53ef\u4ee5\u76f4\u63a5\u5e94\u7528\u4e8e\u590d\u6570\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
        \n
      1. \n
        \u52a0\u6cd5\u548c\u51cf\u6cd5<\/strong><\/p>\n<\/p>\n
        \u5bf9\u4e8e\u4e24\u4e2a\u590d\u6570z1<\/code>\u548cz2<\/code>\uff0c\u52a0\u6cd5\u548c\u51cf\u6cd5\u8fd0\u7b97\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528+<\/code>\u548c-<\/code>\u8fd0\u7b97\u7b26\uff1a<\/p>\n<\/p>\n
        z1 = 3 + 4j<\/p>\n
        z2 = 1 + 2j<\/p>\n
        print(z1 + z2)  # \u8f93\u51fa\uff1a (4+6j)<\/p>\n
        print(z1 - z2)  # \u8f93\u51fa\uff1a (2+2j)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u52a0\u6cd5\u548c\u51cf\u6cd5\u5206\u522b\u5bf9\u5b9e\u90e8\u548c\u865a\u90e8\u8fdb\u884c\u52a0\u51cf\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n
      2. \n
        \u4e58\u6cd5\u548c\u9664\u6cd5<\/strong><\/p>\n<\/p>\n
        \u590d\u6570\u7684\u4e58\u6cd5\u548c\u9664\u6cd5\u540c\u6837\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528*<\/code>\u548c\/<\/code>\u8fd0\u7b97\u7b26\uff1a<\/p>\n<\/p>\n
        z1 = 3 + 4j<\/p>\n
        z2 = 1 + 2j<\/p>\n
        print(z1 * z2)  # \u8f93\u51fa\uff1a (-5+10j)<\/p>\n
        print(z1 \/ z2)  # \u8f93\u51fa\uff1a (2.2-0.4j)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u4e58\u6cd5\u548c\u9664\u6cd5\u9075\u5faa\u590d\u6570\u7684\u6570\u5b66\u89c4\u5219\uff0c\u4f8b\u5982\u4e58\u6cd5\u4f7f\u7528\u5206\u914d\u5f8b\uff0c\u9664\u6cd5\u9700\u8981\u7528\u5230\u590d\u6570\u7684\u5171\u8f6d\u3002<\/p>\n<\/p>\n<\/li>\n
      3. \n
        \u53d6\u6a21\u548c\u76f8\u4f4d<\/strong><\/p>\n<\/p>\n
        \u590d\u6570\u7684\u6a21\uff08\u5e45\u503c\uff09\u53ef\u4ee5\u901a\u8fc7Python\u6807\u51c6\u5e93cmath<\/code>\u7684abs()<\/code>\u51fd\u6570\u83b7\u53d6\uff0c\u76f8\u4f4d\u53ef\u4ee5\u4f7f\u7528phase()<\/code>\u51fd\u6570\uff1a<\/p>\n<\/p>\n
        import cmath<\/p>\n
        z = 3 + 4j<\/p>\n
        modulus = abs(z)<\/p>\n
        phase = cmath.phase(z)<\/p>\n
        print(modulus)  # \u8f93\u51fa\uff1a 5.0<\/p>\n
        print(phase)    # \u8f93\u51fa\uff1a 0.9272952180016122 (\u5f27\u5ea6\u5236)<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u6a21\u503c\u8868\u793a\u590d\u6570\u5728\u590d\u5e73\u9762\u4e0a\u5230\u539f\u70b9\u7684\u8ddd\u79bb\uff0c\u76f8\u4f4d\u8868\u793a\u590d\u6570\u4e0e\u5b9e\u8f74\u7684\u5939\u89d2\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
        \u56db\u3001\u4f7f\u7528cmath<\/code>\u5e93\u8fdb\u884c\u590d\u6570\u8fd0\u7b97<\/p>\n<\/p>\n
        Python\u7684cmath<\/code>\u5e93\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u51fd\u6570\u7528\u4e8e\u590d\u6570\u7684\u6570\u5b66\u8fd0\u7b97\u3002\u8fd9\u4e9b\u51fd\u6570\u7c7b\u4f3c\u4e8emath<\/code>\u5e93\uff0c\u4f46\u9002\u7528\u4e8e\u590d\u6570\u3002<\/p>\n<\/p>\n
          \n
        1. \n
          \u6307\u6570\u548c\u5bf9\u6570<\/strong><\/p>\n<\/p>\n
          cmath<\/code>\u5e93\u63d0\u4f9b\u4e86\u8ba1\u7b97\u590d\u6570\u7684\u6307\u6570\u548c\u5bf9\u6570\u7684\u51fd\u6570exp()<\/code>\u548clog()<\/code>\uff1a<\/p>\n<\/p>\n
          import cmath<\/p>\n
          z = 1 + 2j<\/p>\n
          print(cmath.exp(z))  # \u8f93\u51fa\uff1a (-1.1312043837568135+2.4717266720048188j)<\/p>\n
          print(cmath.log(z))  # \u8f93\u51fa\uff1a (0.8047189562170503+1.1071487177940904j)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u4e9b\u51fd\u6570\u662f\u5904\u7406\u6d89\u53ca\u590d\u6570\u7684\u6307\u6570\u548c\u5bf9\u6570\u8fd0\u7b97\u7684\u57fa\u7840\u3002<\/p>\n<\/p>\n<\/li>\n
        2. \n
          \u4e09\u89d2\u51fd\u6570\u548c\u53cd\u4e09\u89d2\u51fd\u6570<\/strong><\/p>\n<\/p>\n
          cmath<\/code>\u5e93\u8fd8\u63d0\u4f9b\u4e86\u590d\u6570\u7684\u4e09\u89d2\u51fd\u6570\u548c\u53cd\u4e09\u89d2\u51fd\u6570\uff0c\u5305\u62ecsin()<\/code>\u3001cos()<\/code>\u3001tan()<\/code>\u4ee5\u53caasin()<\/code>\u3001acos()<\/code>\u3001atan()<\/code>\u7b49\uff1a<\/p>\n<\/p>\n
          import cmath<\/p>\n
          z = 1 + 2j<\/p>\n
          print(cmath.sin(z))  # \u8f93\u51fa\uff1a (3.165778513216168+1.9596010414216063j)<\/p>\n
          print(cmath.cos(z))  # \u8f93\u51fa\uff1a (2.0327230070196656-3.0518977991517997j)<\/p>\n
          print(cmath.tan(z))  # \u8f93\u51fa\uff1a (0.03381282607989669+1.0147936161466335j)<\/p>\n
          <\/code><\/pre>\n<\/p>\n
          \u8fd9\u4e9b\u51fd\u6570\u7528\u4e8e\u5904\u7406\u6d89\u53ca\u590d\u6570\u7684\u4e09\u89d2\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
          \u4e94\u3001\u590d\u6570\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u4f7f\u7528<\/p>\n<\/p>\n
          \u590d\u6570\u5728\u8bb8\u591a\u79d1\u5b66\u4e0e\u5de5\u7a0b\u9886\u57df\u4e2d\u6709\u7740\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5305\u62ec\u7535\u8def\u5206\u6790\u3001\u4fe1\u53f7\u5904\u7406\u548c\u91cf\u5b50\u529b\u5b66\u7b49\u3002\u5728\u8fd9\u4e9b\u5e94\u7528\u4e2d\uff0c\u590d\u6570\u7528\u4e8e\u63cf\u8ff0\u632f\u8361\u3001\u6ce2\u52a8\u548c\u5176\u4ed6\u5468\u671f\u73b0\u8c61\u3002<\/p>\n<\/p>\n
            \n
          1. \n
            \u7535\u8def\u5206\u6790<\/strong><\/p>\n<\/p>\n
            \u5728\u4ea4\u6d41\u7535\u8def\u5206\u6790\u4e2d\uff0c\u590d\u6570\u7528\u4e8e\u8868\u793a\u7535\u538b\u3001\u7535\u6d41\u548c\u963b\u6297\u3002\u590d\u6570\u5f62\u5f0f\u4f7f\u5f97\u5bf9\u4ea4\u6d41\u7535\u8def\u7684\u5206\u6790\u66f4\u52a0\u7b80\u4fbf\uff0c\u5c24\u5176\u662f\u5728\u5904\u7406\u76f8\u4f4d\u5dee\u65f6\u3002<\/p>\n<\/p>\n
            \u4f8b\u5982\uff0c\u4e00\u4e2a\u7535\u963b\u548c\u7535\u5bb9\u4e32\u8054\u7684\u4ea4\u6d41\u7535\u8def\u7684\u603b\u963b\u6297\u53ef\u4ee5\u901a\u8fc7\u590d\u6570\u8868\u793a\u4e3a\uff1a<\/p>\n<\/p>\n
            R = 100  # \u7535\u963b\uff0c\u5355\u4f4d\u6b27\u59c6<\/p>\n
            C = 1e-6  # \u7535\u5bb9\uff0c\u5355\u4f4d\u6cd5\u62c9<\/p>\n
            f = 50  # \u9891\u7387\uff0c\u5355\u4f4d\u8d6b\u5179<\/p>\n
            Z = complex(R, -1\/(2 * cmath.pi * f * C))<\/p>\n
            print(Z)  # \u8f93\u51fa\uff1a (100-3183.098861837907j)<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u5728\u8fd9\u91cc\uff0c\u590d\u6570\u7684\u5b9e\u90e8\u662f\u7535\u963b\uff0c\u865a\u90e8\u662f\u7535\u5bb9\u7684\u53cd\u5e94\u3002<\/p>\n<\/p>\n<\/li>\n
          2. \n
            \u4fe1\u53f7\u5904\u7406<\/strong><\/p>\n<\/p>\n
            \u5728\u4fe1\u53f7\u5904\u7406\u9886\u57df\uff0c\u590d\u6570\u7528\u4e8e\u63cf\u8ff0\u4fe1\u53f7\u7684\u5e45\u5ea6\u548c\u76f8\u4f4d\u3002\u5085\u91cc\u53f6\u53d8\u6362\u662f\u4fe1\u53f7\u5904\u7406\u4e2d\u7684\u4e00\u4e2a\u91cd\u8981\u5de5\u5177\uff0c\u5b83\u4f7f\u7528\u590d\u6570\u6765\u8868\u793a\u9891\u7387\u5206\u91cf\u3002<\/p>\n<\/p>\n
            \u4f8b\u5982\uff0c\u5bf9\u4e8e\u4e00\u4e2a\u7b80\u5355\u7684\u6b63\u5f26\u4fe1\u53f7\uff0c\u5176\u5085\u91cc\u53f6\u53d8\u6362\u5728\u9891\u57df\u4e2d\u53ef\u4ee5\u8868\u793a\u4e3a\u590d\u6570\u5f62\u5f0f\uff1a<\/p>\n<\/p>\n
            import numpy as np<\/p>\n
            t = np.linspace(0, 1, 1000)<\/p>\n
            signal = np.sin(2 * np.pi * 10 * t)<\/p>\n
            fft_result = np.fft.fft(signal)<\/p>\n
            print(fft_result)  # \u8f93\u51fa\uff1a\u5085\u91cc\u53f6\u53d8\u6362\u7ed3\u679c\uff0c\u4ee5\u590d\u6570\u5f62\u5f0f\u8868\u793a<\/p>\n
            <\/code><\/pre>\n<\/p>\n
            \u8fd9\u91cc\u7684fft_result<\/code>\u662f\u4e00\u4e2a\u590d\u6570\u6570\u7ec4\uff0c\u8868\u793a\u4fe1\u53f7\u7684\u9891\u7387\u5206\u91cf\u3002<\/p>\n<\/p>\n<\/li>\n
          3. \n
            \u91cf\u5b50\u529b\u5b66<\/strong><\/p>\n<\/p>\n
            \u91cf\u5b50\u529b\u5b66\u4e2d\uff0c\u590d\u6570\u7528\u4e8e\u63cf\u8ff0\u6ce2\u51fd\u6570\u548c\u91cf\u5b50\u6001\u3002\u590d\u6570\u7684\u4f7f\u7528\u4f7f\u5f97\u91cf\u5b50\u529b\u5b66\u4e2d\u7684\u65b9\u7a0b\uff08\u5982\u859b\u5b9a\u8c14\u65b9\u7a0b\uff09\u80fd\u591f\u66f4\u4e3a\u7b80\u6d01\u5730\u8868\u793a\u548c\u6c42\u89e3\u3002<\/p>\n<\/p>\n
            \u5728\u91cf\u5b50\u8ba1\u7b97\u4e2d\uff0c\u91cf\u5b50\u6bd4\u7279\uff08qubit\uff09\u7684\u72b6\u6001\u901a\u5e38\u7528\u590d\u6570\u8868\u793a\uff0c\u8fd9\u4f7f\u5f97\u91cf\u5b50\u6001\u7684\u64cd\u4f5c\u5982\u65cb\u8f6c\u3001\u76f8\u4f4d\u6539\u53d8\u7b49\u66f4\u4e3a\u76f4\u89c2\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
            \u516d\u3001\u590d\u6570\u7684\u53ef\u89c6\u5316<\/p>\n<\/p>\n
            \u5728\u79d1\u5b66\u8ba1\u7b97\u4e2d\uff0c\u4f7f\u7528\u590d\u6570\u8fdb\u884c\u8ba1\u7b97\u540e\uff0c\u5c06\u7ed3\u679c\u8fdb\u884c\u53ef\u89c6\u5316\u662f\u975e\u5e38\u91cd\u8981\u7684\u6b65\u9aa4\u4e4b\u4e00\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u53ef\u89c6\u5316\u5e93\uff0c\u5982matplotlib<\/code>\uff0c\u53ef\u4ee5\u7528\u4e8e\u590d\u6570\u7684\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
              \n
            1. \n
              \u7ed8\u5236\u590d\u6570\u5e73\u9762\u4e0a\u7684\u70b9<\/strong><\/p>\n<\/p>\n
              \u4f7f\u7528matplotlib<\/code>\u53ef\u4ee5\u8f7b\u677e\u7ed8\u5236\u590d\u6570\u5728\u590d\u5e73\u9762\u4e0a\u7684\u4f4d\u7f6e\u3002\u6211\u4eec\u53ef\u4ee5\u5c06\u590d\u6570\u7684\u5b9e\u90e8\u4f5c\u4e3ax\u5750\u6807\uff0c\u865a\u90e8\u4f5c\u4e3ay\u5750\u6807\u8fdb\u884c\u7ed8\u5236\uff1a<\/p>\n<\/p>\n
              import matplotlib.pyplot as plt<\/p>\n
              z1 = 3 + 4j<\/p>\n
              z2 = 1 + 2j<\/p>\n
              plt.scatter([z1.real, z2.real], [z1.imag, z2.imag], color='red')<\/p>\n
              plt.xlabel('Real')<\/p>\n
              plt.ylabel('Imaginary')<\/p>\n
              plt.title('Complex Numbers on Complex Plane')<\/p>\n
              plt.grid()<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u8fd9\u6bb5\u4ee3\u7801\u7ed8\u5236\u4e86\u4e24\u4e2a\u590d\u6570\u5728\u590d\u5e73\u9762\u4e0a\u7684\u4f4d\u7f6e\uff0c\u5e2e\u52a9\u6211\u4eec\u66f4\u76f4\u89c2\u5730\u7406\u89e3\u590d\u6570\u7684\u51e0\u4f55\u610f\u4e49\u3002<\/p>\n<\/p>\n<\/li>\n
            2. \n
              \u7ed8\u5236\u590d\u6570\u51fd\u6570\u7684\u56fe\u50cf<\/strong><\/p>\n<\/p>\n
              \u5bf9\u4e8e\u590d\u6570\u51fd\u6570\uff0c\u5982\u590d\u6570\u7684\u6307\u6570\u6216\u5bf9\u6570\u51fd\u6570\uff0c\u53ef\u4ee5\u901a\u8fc7\u7ed8\u5236\u5176\u6a21\u503c\u6216\u76f8\u4f4d\u7684\u53d8\u5316\u6765\u76f4\u89c2\u5730\u5c55\u793a\u51fd\u6570\u7684\u7279\u6027\uff1a<\/p>\n<\/p>\n
              import numpy as np<\/p>\n
              x = np.linspace(-2, 2, 400)<\/p>\n
              y = np.linspace(-2, 2, 400)<\/p>\n
              X, Y = np.meshgrid(x, y)<\/p>\n
              Z = X + 1j * Y<\/p>\n
              W = np.exp(Z)<\/p>\n
              plt.contourf(X, Y, np.abs(W), levels=50, cmap='viridis')<\/p>\n
              plt.colorbar(label='Magnitude')<\/p>\n
              plt.xlabel('Real part of Z')<\/p>\n
              plt.ylabel('Imaginary part of Z')<\/p>\n
              plt.title('Magnitude of exp(Z)')<\/p>\n
              plt.grid()<\/p>\n
              plt.show()<\/p>\n
              <\/code><\/pre>\n<\/p>\n
              \u5728\u8fd9\u6bb5\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u8ba1\u7b97\u4e86\u590d\u6570\u6307\u6570\u51fd\u6570\u5728\u590d\u5e73\u9762\u4e0a\u7684\u6a21\u503c\uff0c\u5e76\u4f7f\u7528\u7b49\u9ad8\u7ebf\u56fe\u663e\u793a\u51fa\u6765\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
              \u4e03\u3001\u590d\u6570\u8ba1\u7b97\u4e2d\u7684\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n
              \u5728\u4f7f\u7528Python\u8fdb\u884c\u590d\u6570\u8ba1\u7b97\u65f6\uff0c\u6709\u4e00\u4e9b\u6ce8\u610f\u4e8b\u9879\u9700\u8981\u7262\u8bb0\uff0c\u4ee5\u907f\u514d\u5e38\u89c1\u7684\u9519\u8bef\u548c\u9677\u9631\u3002<\/p>\n<\/p>\n
                \n
              1. \n
                \u6ce8\u610f\u6570\u636e\u7c7b\u578b<\/strong><\/p>\n<\/p>\n
                \u5728\u8fdb\u884c\u590d\u6570\u8fd0\u7b97\u65f6\uff0c\u786e\u4fdd\u6240\u6709\u53c2\u4e0e\u8fd0\u7b97\u7684\u53d8\u91cf\u90fd\u662f\u590d\u6570\u7c7b\u578b\uff0c\u6216\u8005\u53ef\u4ee5\u9690\u5f0f\u8f6c\u6362\u4e3a\u590d\u6570\u7c7b\u578b\u3002\u4f8b\u5982\uff0c\u5b9e\u6570\u4f1a\u81ea\u52a8\u8f6c\u6362\u4e3a\u590d\u6570\u5f62\u5f0f\uff08\u865a\u90e8\u4e3a\u96f6\uff09\uff0c\u4f46\u5b57\u7b26\u4e32\u7c7b\u578b\u5219\u4e0d\u4f1a\u81ea\u52a8\u8f6c\u6362\u3002<\/p>\n<\/p>\n<\/li>\n
              2. \n
                \u5904\u7406\u5927\u89c4\u6a21\u590d\u6570\u8fd0\u7b97<\/strong><\/p>\n<\/p>\n
                \u5728\u8fdb\u884c\u5927\u89c4\u6a21\u590d\u6570\u8fd0\u7b97\u65f6\uff0c\u5982\u77e9\u9635\u8fd0\u7b97\uff0c\u4f7f\u7528\u652f\u6301\u590d\u6570\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff08\u5982numpy<\/code>\uff09\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u3002\u4f8b\u5982\uff0cnumpy<\/code>\u7684\u6570\u7ec4\u53ef\u4ee5\u76f4\u63a5\u5b58\u50a8\u548c\u64cd\u4f5c\u590d\u6570\uff1a<\/p>\n<\/p>\n
                import numpy as np<\/p>\n
                matrix = np.array([[1 + 2j, 2 + 3j], [3 + 4j, 4 + 5j]])<\/p>\n
                result = np.linalg.inv(matrix)  # \u8ba1\u7b97\u590d\u6570\u77e9\u9635\u7684\u9006<\/p>\n
                print(result)<\/p>\n
                <\/code><\/pre>\n<\/p>\n<\/li>\n
              3. \n
                \u907f\u514d\u7cbe\u5ea6\u635f\u5931<\/strong><\/p>\n<\/p>\n
                \u590d\u6570\u8fd0\u7b97\u53ef\u80fd\u4f1a\u6d89\u53ca\u6d6e\u70b9\u6570\u8fd0\u7b97\uff0c\u6ce8\u610f\u5728\u8fd0\u7b97\u8fc7\u7a0b\u4e2d\u907f\u514d\u7cbe\u5ea6\u635f\u5931\u3002\u53ef\u4ee5\u4f7f\u7528decimal<\/code>\u6a21\u5757\u6765\u63d0\u9ad8\u7cbe\u5ea6\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u8ba1\u7b97\u6027\u80fd\u7684\u5f71\u54cd\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n
                \u603b\u7ed3\uff1a<\/p>\n<\/p>\n
                Python\u4ee5\u5176\u5f3a\u5927\u7684\u5185\u7f6e\u529f\u80fd\u548c\u4e30\u5bcc\u7684\u5e93\u652f\u6301\uff0c\u4f7f\u5f97\u590d\u6570\u7684\u8868\u793a\u548c\u8fd0\u7b97\u53d8\u5f97\u7b80\u5355\u800c\u9ad8\u6548\u3002\u901a\u8fc7\u7406\u89e3\u590d\u6570\u7684\u8868\u793a\u65b9\u5f0f\u3001\u57fa\u672c\u5c5e\u6027\u3001\u6570\u5b66\u8fd0\u7b97\u548c\u5b9e\u9645\u5e94\u7528\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u5de5\u7a0b\u5206\u6790\u548c\u6570\u636e\u5904\u7406\u7b49\u9886\u57df\u4e2d\u66f4\u597d\u5730\u5229\u7528\u590d\u6570\u3002\u65e0\u8bba\u662f\u5728\u5904\u7406\u7535\u8def\u4e2d\u7684\u4ea4\u6d41\u4fe1\u53f7\uff0c\u8fd8\u662f\u5728\u4fe1\u53f7\u5904\u7406\u4e2d\u8fdb\u884c\u9891\u7387\u5206\u6790\uff0c\u590d\u6570\u90fd\u662f\u4e0d\u53ef\u6216\u7f3a\u7684\u5de5\u5177\u3002\u901a\u8fc7\u53ef\u89c6\u5316\u548c\u6ce8\u610f\u4e8b\u9879\u7684\u8865\u5145\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u52a0\u5168\u9762\u5730\u638c\u63e1\u590d\u6570\u7684\u4f7f\u7528\u6280\u5de7\u3002<\/p>\n<\/p>\n
                \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
                 \u590d\u6570\u5728Python\u4e2d\u5982\u4f55\u8868\u793a\uff1f<\/strong>
                \u5728Python\u4e2d\uff0c\u590d\u6570\u901a\u8fc7j<\/code>\u6216J<\/code>\u6765\u8868\u793a\u865a\u90e8\u3002\u4f8b\u5982\uff0c3 + 4j<\/code>\u8868\u793a\u4e00\u4e2a\u5b9e\u90e8\u4e3a3\uff0c\u865a\u90e8\u4e3a4\u7684\u590d\u6570\u3002Python\u5185\u7f6e\u7684complex<\/code>\u7c7b\u578b\u652f\u6301\u590d\u6570\u8fd0\u7b97\uff0c\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u8fd9\u79cd\u8868\u793a\u6cd5\u6765\u8fdb\u884c\u6570\u5b66\u8ba1\u7b97\u3002<\/p>\n
                \u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u590d\u6570\u8fd0\u7b97\uff1f<\/strong>
                \u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528\u5e38\u89c4\u7684\u6570\u5b66\u8fd0\u7b97\u7b26\u8fdb\u884c\u590d\u6570\u8fd0\u7b97\u3002\u6bd4\u5982\uff0c\u4e24\u4e2a\u590d\u6570\u76f8\u52a0\u53ef\u4ee5\u4f7f\u7528+<\/code>\uff0c\u76f8\u51cf\u7528-<\/code>\uff0c\u76f8\u4e58\u7528*<\/code>\uff0c\u76f8\u9664\u7528\/<\/code>\u3002\u4f8b\u5982\uff0c(2 + 3j) * (1 + 2j)<\/code>\u4f1a\u8fd4\u56de-4 + 7j<\/code>\u3002\u6b64\u5916\uff0cPython\u8fd8\u63d0\u4f9b\u4e86abs()<\/code>\u51fd\u6570\u6765\u83b7\u53d6\u590d\u6570\u7684\u6a21\uff0cconjugate()<\/code>\u65b9\u6cd5\u6765\u83b7\u53d6\u590d\u6570\u7684\u5171\u8f6d\u3002<\/p>\n
                \u5982\u4f55\u83b7\u53d6\u590d\u6570\u7684\u5b9e\u90e8\u548c\u865a\u90e8\uff1f<\/strong>
                \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbf\u95ee\u590d\u6570\u7684real<\/code>\u548cimag<\/code>\u5c5e\u6027\u6765\u83b7\u53d6\u5176\u5b9e\u90e8\u548c\u865a\u90e8\u3002\u6bd4\u5982\uff0c\u5bf9\u4e8e\u590d\u6570z = 5 + 6j<\/code>\uff0c\u53ef\u4ee5\u901a\u8fc7z.real<\/code>\u5f97\u52305\uff0c\u901a\u8fc7z.imag<\/code>\u5f97\u52306\u3002\u8fd9\u4f7f\u5f97\u5904\u7406\u590d\u6570\u7684\u5404\u4e2a\u90e8\u5206\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u590d\u6570\u4ee5a + bj\u7684\u5f62\u5f0f\u5b58\u5728\uff0c\u5176\u4e2da\u662f\u5b9e\u90e8\uff0cb\u662f\u865a\u90e8\uff0cj\u8868\u793a\u865a\u6570\u5355\u4f4d\u3002Python\u5185\u7f6e\u590d\u6570\u7c7b […]","protected":false},"author":3,"featured_media":1016397,"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\/1016371"}],"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=1016371"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1016371\/revisions"}],"predecessor-version":[{"id":1016399,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1016371\/revisions\/1016399"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1016397"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1016371"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1016371"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1016371"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}