{"id":1005484,"date":"2024-12-27T10:36:11","date_gmt":"2024-12-27T02:36:11","guid":{"rendered":""},"modified":"2024-12-27T10:36:13","modified_gmt":"2024-12-27T02:36:13","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%a1%a8%e7%a4%ba%e5%a4%8d%e6%95%b0","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1005484.html","title":{"rendered":"\u5982\u4f55\u7528python\u8868\u793a\u590d\u6570"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25082004\/0b47c2d5-20a2-470a-a594-899448aa8643.webp\" alt=\"\u5982\u4f55\u7528python\u8868\u793a\u590d\u6570\" \/><\/p>\n<p><p> <strong>\u7528Python\u8868\u793a\u590d\u6570\u53ef\u4ee5\u901a\u8fc7\u4e09\u79cd\u4e3b\u8981\u65b9\u5f0f\uff1a\u4f7f\u7528\u5185\u7f6e\u7684complex\u51fd\u6570\u3001\u901a\u8fc7&#39;j&#39;\u7b26\u53f7\u76f4\u63a5\u5b9a\u4e49\u3001\u5229\u7528\u7b2c\u4e09\u65b9\u5e93\u5982NumPy\u3002<\/strong>Python\u672c\u8eab\u5bf9\u590d\u6570\u6709\u5f88\u597d\u7684\u652f\u6301\uff0c\u56e0\u6b64\u4f7f\u7528\u8d77\u6765\u975e\u5e38\u7b80\u5355\u548c\u76f4\u89c2\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528\u5185\u7f6ecomplex\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><p>Python\u4e2d\u7684complex\u51fd\u6570\u662f\u4e00\u79cd\u5185\u7f6e\u51fd\u6570\uff0c\u53ef\u4ee5\u7528\u6765\u521b\u5efa\u590d\u6570\u3002\u590d\u6570\u662f\u7531\u5b9e\u90e8\u548c\u865a\u90e8\u7ec4\u6210\u7684\uff0ccomplex\u51fd\u6570\u53ef\u4ee5\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff1a\u7b2c\u4e00\u4e2a\u53c2\u6570\u4e3a\u5b9e\u90e8\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u4e3a\u865a\u90e8\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5b9a\u4e49\u590d\u6570\u3002\u4f8b\u5982\uff0ccomplex(3, 4)\u5c06\u521b\u5efa\u4e00\u4e2a\u590d\u6570\uff0c\u5176\u5b9e\u90e8\u4e3a3\uff0c\u865a\u90e8\u4e3a4\u3002\u8fd9\u4e2a\u51fd\u6570\u4e0d\u4ec5\u7b80\u5355\u6613\u7528\uff0c\u800c\u4e14\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u8d4b\u503c\u7ed9\u53d8\u91cf\uff0c\u4f7f\u5f97\u590d\u6570\u7684\u64cd\u4f5c\u66f4\u52a0\u65b9\u4fbf\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001PYTHON\u4e2d\u590d\u6570\u7684\u57fa\u672c\u8868\u793a<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u590d\u6570\u662f\u4e00\u79cd\u5185\u7f6e\u7684\u6570\u636e\u7c7b\u578b\uff0c\u7528\u4e8e\u8868\u793a\u6570\u5b66\u4e2d\u7684\u590d\u6570\u3002\u590d\u6570\u7531\u5b9e\u90e8\u548c\u865a\u90e8\u7ec4\u6210\uff0c\u901a\u5e38\u8868\u793a\u4e3aa + bj\uff0c\u5176\u4e2da\u662f\u5b9e\u90e8\uff0cb\u662f\u865a\u90e8\uff0cj\u662f\u865a\u6570\u5355\u4f4d\u3002Python\u4e3a\u5904\u7406\u590d\u6570\u63d0\u4f9b\u4e86\u4e00\u4e9b\u7b80\u5355\u800c\u5f3a\u5927\u7684\u5de5\u5177\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u4f7f\u7528complex\u51fd\u6570<\/p>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5185\u7f6e\u7684complex\u51fd\u6570\uff0c\u7528\u4e8e\u521b\u5efa\u590d\u6570\u3002complex\u51fd\u6570\u63a5\u53d7\u4e24\u4e2a\u53c2\u6570\uff1a\u5b9e\u90e8\u548c\u865a\u90e8\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528complex\u51fd\u6570\u521b\u5efa\u590d\u6570\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">z = complex(3, 4)<\/p>\n<p>print(z)  # \u8f93\u51fa: (3+4j)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u590d\u6570z\uff0c\u5176\u5b9e\u90e8\u4e3a3\uff0c\u865a\u90e8\u4e3a4\u3002complex\u51fd\u6570\u975e\u5e38\u9002\u5408\u5728\u9700\u8981\u52a8\u6001\u8ba1\u7b97\u5b9e\u90e8\u548c\u865a\u90e8\u65f6\u4f7f\u7528\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u4f7f\u7528&#39;j&#39;\u7b26\u53f7\u76f4\u63a5\u5b9a\u4e49<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4f7f\u7528complex\u51fd\u6570\u5916\uff0cPython\u8fd8\u5141\u8bb8\u76f4\u63a5\u4f7f\u7528&#39;j&#39;\u7b26\u53f7\u6765\u5b9a\u4e49\u590d\u6570\u3002\u5728Python\u4e2d\uff0c&#39;j&#39;\u8868\u793a\u865a\u6570\u5355\u4f4d\u3002\u8fd9\u79cd\u65b9\u6cd5\u66f4\u52a0\u76f4\u89c2\uff0c\u9002\u5408\u4e8e\u7b80\u5355\u7684\u590d\u6570\u5b9a\u4e49\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">z = 3 + 4j<\/p>\n<p>print(z)  # \u8f93\u51fa: (3+4j)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u5f0f\u5bf9\u4e8e\u7b80\u5355\u7684\u590d\u6570\u8ba1\u7b97\u975e\u5e38\u65b9\u4fbf\uff0c\u5c24\u5176\u662f\u5728\u9700\u8981\u8fdb\u884c\u6570\u5b66\u8fd0\u7b97\u65f6\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001PYTHON\u4e2d\u590d\u6570\u7684\u57fa\u672c\u64cd\u4f5c<\/p>\n<\/p>\n<p><p>Python\u5bf9\u590d\u6570\u7684\u64cd\u4f5c\u975e\u5e38\u76f4\u89c2\uff0c\u652f\u6301\u57fa\u672c\u7684\u6570\u5b66\u8fd0\u7b97\uff0c\u5982\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u548c\u9664\u6cd5\u3002\u6b64\u5916\uff0cPython\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5185\u7f6e\u51fd\u6570\u6765\u5904\u7406\u590d\u6570\u7684\u5c5e\u6027\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u590d\u6570\u7684\u52a0\u51cf\u4e58\u9664<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u590d\u6570\u7684\u52a0\u51cf\u4e58\u9664\u64cd\u4f5c\u4e0e\u6574\u6570\u548c\u6d6e\u70b9\u6570\u7684\u64cd\u4f5c\u7c7b\u4f3c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">z1 = 3 + 4j<\/p>\n<p>z2 = 1 + 2j<\/p>\n<h2><strong>\u52a0\u6cd5<\/strong><\/h2>\n<p>z_add = z1 + z2<\/p>\n<p>print(z_add)  # \u8f93\u51fa: (4+6j)<\/p>\n<h2><strong>\u51cf\u6cd5<\/strong><\/h2>\n<p>z_sub = z1 - z2<\/p>\n<p>print(z_sub)  # \u8f93\u51fa: (2+2j)<\/p>\n<h2><strong>\u4e58\u6cd5<\/strong><\/h2>\n<p>z_mul = z1 * z2<\/p>\n<p>print(z_mul)  # \u8f93\u51fa: (-5+10j)<\/p>\n<h2><strong>\u9664\u6cd5<\/strong><\/h2>\n<p>z_div = z1 \/ z2<\/p>\n<p>print(z_div)  # \u8f93\u51fa: (2.2-0.4j)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u64cd\u4f5c\u9075\u5faa\u590d\u6570\u7684\u6570\u5b66\u89c4\u5219\uff0c\u7ed3\u679c\u4e5f\u662f\u590d\u6570\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u590d\u6570\u7684\u5c5e\u6027<\/p>\n<\/p>\n<p><p>Python\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5185\u7f6e\u5c5e\u6027\u548c\u65b9\u6cd5\u6765\u83b7\u53d6\u590d\u6570\u7684\u5b9e\u90e8\u3001\u865a\u90e8\u548c\u5171\u8f6d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">z = 3 + 4j<\/p>\n<h2><strong>\u83b7\u53d6\u5b9e\u90e8<\/strong><\/h2>\n<p>real_part = z.real<\/p>\n<p>print(real_part)  # \u8f93\u51fa: 3.0<\/p>\n<h2><strong>\u83b7\u53d6\u865a\u90e8<\/strong><\/h2>\n<p>imaginary_part = z.imag<\/p>\n<p>print(imaginary_part)  # \u8f93\u51fa: 4.0<\/p>\n<h2><strong>\u83b7\u53d6\u5171\u8f6d<\/strong><\/h2>\n<p>conjugate = z.conjugate()<\/p>\n<p>print(conjugate)  # \u8f93\u51fa: (3-4j)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u4e9b\u5c5e\u6027\u548c\u65b9\u6cd5\u4f7f\u5f97\u590d\u6570\u7684\u5904\u7406\u66f4\u52a0\u65b9\u4fbf\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001NUMPY\u4e2d\u7684\u590d\u6570\u64cd\u4f5c<\/p>\n<\/p>\n<p><p>NumPy\u662fPython\u4e2d\u7684\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u3002\u5b83\u63d0\u4f9b\u4e86\u5bf9\u590d\u6570\u7684\u66f4\u9ad8\u7ea7\u522b\u7684\u652f\u6301\uff0c\u4f7f\u5f97\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u95ee\u9898\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u521b\u5efa\u590d\u6570\u6570\u7ec4<\/p>\n<\/p>\n<p><p>NumPy\u5141\u8bb8\u521b\u5efa\u5305\u542b\u590d\u6570\u7684\u6570\u7ec4\u3002\u53ef\u4ee5\u4f7f\u7528numpy.array\u51fd\u6570\u6765\u521b\u5efa\u590d\u6570\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u590d\u6570\u6570\u7ec4<\/strong><\/h2>\n<p>complex_array = np.array([1+2j, 3+4j, 5+6j])<\/p>\n<p>print(complex_array)  # \u8f93\u51fa: [1.+2.j 3.+4.j 5.+6.j]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u6570\u7ec4\u53ef\u4ee5\u7528\u4e8e\u6279\u91cf\u5904\u7406\u590d\u6570\u6570\u636e\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u590d\u6570\u7684\u6570\u5b66\u8fd0\u7b97<\/p>\n<\/p>\n<p><p>NumPy\u652f\u6301\u5bf9\u590d\u6570\u6570\u7ec4\u8fdb\u884c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\uff0c\u5305\u62ec\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u548c\u9664\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u4e24\u4e2a\u590d\u6570\u6570\u7ec4<\/p>\n<p>array1 = np.array([1+2j, 3+4j, 5+6j])<\/p>\n<p>array2 = np.array([6+5j, 4+3j, 2+1j])<\/p>\n<h2><strong>\u52a0\u6cd5<\/strong><\/h2>\n<p>sum_array = array1 + array2<\/p>\n<p>print(sum_array)  # \u8f93\u51fa: [7.+7.j 7.+7.j 7.+7.j]<\/p>\n<h2><strong>\u4e58\u6cd5<\/strong><\/h2>\n<p>product_array = array1 * array2<\/p>\n<p>print(product_array)  # \u8f93\u51fa: [-4.+17.j  0.+25.j  4.+17.j]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>NumPy\u7684\u8fd0\u7b97\u9075\u5faa\u5e7f\u64ad\u89c4\u5219\uff0c\u56e0\u6b64\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6279\u91cf\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001PYTHON\u4e2d\u590d\u6570\u7684\u5e94\u7528<\/p>\n<\/p>\n<p><p>\u590d\u6570\u5728Python\u4e2d\u7684\u5e94\u7528\u975e\u5e38\u5e7f\u6cdb\uff0c\u5c24\u5176\u662f\u5728\u79d1\u5b66\u8ba1\u7b97\u3001\u4fe1\u53f7\u5904\u7406\u548c\u5de5\u7a0b\u9886\u57df\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u5e94\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u5085\u91cc\u53f6\u53d8\u6362<\/p>\n<\/p>\n<p><p>\u5085\u91cc\u53f6\u53d8\u6362\u662f\u4e00\u79cd\u5c06\u4fe1\u53f7\u4ece\u65f6\u57df\u8f6c\u6362\u5230\u9891\u57df\u7684\u6570\u5b66\u5de5\u5177\u3002Python\u4e2d\u7684NumPy\u548cSciPy\u5e93\u63d0\u4f9b\u4e86\u5bf9\u5085\u91cc\u53f6\u53d8\u6362\u7684\u652f\u6301\uff0c\u5141\u8bb8\u5bf9\u590d\u6570\u4fe1\u53f7\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u5b9a\u4e49\u65f6\u95f4\u57df\u4fe1\u53f7<\/strong><\/h2>\n<p>time_signal = np.array([1, 2, 3, 4])<\/p>\n<h2><strong>\u8fdb\u884c\u5085\u91cc\u53f6\u53d8\u6362<\/strong><\/h2>\n<p>frequency_signal = np.fft.fft(time_signal)<\/p>\n<p>print(frequency_signal)  # \u8f93\u51fa: [10.+0.j -2.+2.j -2.+0.j -2.-2.j]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5085\u91cc\u53f6\u53d8\u6362\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4fe1\u53f7\u5904\u7406\u548c\u56fe\u50cf\u5206\u6790\u4e2d\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u7535\u8def\u5206\u6790<\/p>\n<\/p>\n<p><p>\u5728\u7535\u8def\u5206\u6790\u4e2d\uff0c\u590d\u6570\u7528\u4e8e\u8868\u793a\u963b\u6297\u3001\u7535\u6d41\u548c\u7535\u538b\u3002Python\u53ef\u4ee5\u7528\u4e8e\u6a21\u62df\u548c\u5206\u6790\u7535\u8def\u884c\u4e3a\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5b9a\u4e49\u7535\u8def\u4e2d\u7684\u590d\u6570\u963b\u6297<\/p>\n<p>impedance = complex(5, 3)  # 5\u6b27\u59c6\u7684\u7535\u963b\u548c3\u6b27\u59c6\u7684\u7535\u6297<\/p>\n<h2><strong>\u8ba1\u7b97\u7535\u6d41<\/strong><\/h2>\n<p>voltage = complex(10, 0)  # 10\u4f0f\u7684\u7535\u538b<\/p>\n<p>current = voltage \/ impedance<\/p>\n<p>print(current)  # \u8f93\u51fa: (1.3793103448275863-0.8275862068965517j)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u5206\u6790\u65b9\u6cd5\u5728\u7535\u6c14\u5de5\u7a0b\u4e2d\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001PYTHON\u4e2d\u590d\u6570\u7684\u9ad8\u7ea7\u7528\u6cd5<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u57fa\u672c\u64cd\u4f5c\u548c\u5e94\u7528\uff0cPython\u8fd8\u652f\u6301\u4e00\u4e9b\u9ad8\u7ea7\u7684\u590d\u6570\u64cd\u4f5c\u548c\u6280\u5de7\uff0c\u4ee5\u6ee1\u8db3\u66f4\u590d\u6742\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><p>1\u3001\u4f7f\u7528SymPy\u8fdb\u884c\u7b26\u53f7\u8fd0\u7b97<\/p>\n<\/p>\n<p><p>SymPy\u662fPython\u7684\u4e00\u4e2a\u7b26\u53f7\u6570\u5b66\u5e93\uff0c\u652f\u6301\u590d\u6570\u7684\u7b26\u53f7\u8fd0\u7b97\u3002\u53ef\u4ee5\u7528\u4e8e\u6c42\u89e3\u65b9\u7a0b\u3001\u79ef\u5206\u548c\u5bfc\u6570\u7b49\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from sympy import symbols, I, solve<\/p>\n<h2><strong>\u5b9a\u4e49\u590d\u6570\u53d8\u91cf<\/strong><\/h2>\n<p>z = symbols(&#39;z&#39;)<\/p>\n<h2><strong>\u6c42\u89e3\u590d\u6570\u65b9\u7a0b<\/strong><\/h2>\n<p>equation = z2 + 1<\/p>\n<p>solutions = solve(equation, z)<\/p>\n<p>print(solutions)  # \u8f93\u51fa: [-I, I]<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>SymPy\u4f7f\u5f97\u5904\u7406\u7b26\u53f7\u590d\u6570\u95ee\u9898\u66f4\u52a0\u65b9\u4fbf\u3002<\/p>\n<\/p>\n<p><p>2\u3001\u590d\u6570\u77e9\u9635\u8fd0\u7b97<\/p>\n<\/p>\n<p><p>\u5728\u67d0\u4e9b\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5904\u7406\u590d\u6570\u77e9\u9635\u3002NumPy\u548cSciPy\u90fd\u652f\u6301\u590d\u6570\u77e9\u9635\u7684\u8fd0\u7b97\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u521b\u5efa\u590d\u6570\u77e9\u9635<\/strong><\/h2>\n<p>matrix = np.array([[1+2j, 2+3j], [3+4j, 4+5j]])<\/p>\n<h2><strong>\u8ba1\u7b97\u77e9\u9635\u7684\u5171\u8f6d\u8f6c\u7f6e<\/strong><\/h2>\n<p>conjugate_transpose = np.conj(matrix).T<\/p>\n<p>print(conjugate_transpose)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u590d\u6570\u77e9\u9635\u8fd0\u7b97\u5728\u91cf\u5b50\u529b\u5b66\u548c\u63a7\u5236\u7406\u8bba\u4e2d\u975e\u5e38\u5e38\u89c1\u3002<\/p>\n<\/p>\n<p><p>\u603b\u7ed3<\/p>\n<\/p>\n<p><p>Python\u4e3a\u590d\u6570\u7684\u8868\u793a\u548c\u64cd\u4f5c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u652f\u6301\u3002\u901a\u8fc7\u5185\u7f6e\u7684complex\u51fd\u6570\u548c&#39;j&#39;\u7b26\u53f7\uff0c\u53ef\u4ee5\u8f7b\u677e\u5b9a\u4e49\u548c\u64cd\u4f5c\u590d\u6570\u3002NumPy\u548cSciPy\u7b49\u5e93\u6269\u5c55\u4e86\u590d\u6570\u7684\u529f\u80fd\uff0c\u4f7f\u5f97\u79d1\u5b66\u8ba1\u7b97\u548c\u5de5\u7a0b\u5e94\u7528\u53d8\u5f97\u66f4\u52a0\u7b80\u5355\u3002\u65e0\u8bba\u662f\u5728\u4fe1\u53f7\u5904\u7406\u3001\u7535\u8def\u5206\u6790\u8fd8\u662f\u9ad8\u7ea7\u6570\u5b66\u8fd0\u7b97\u4e2d\uff0cPython\u7684\u590d\u6570\u529f\u80fd\u90fd\u80fd\u6ee1\u8db3\u9700\u6c42\u3002\u901a\u8fc7\u7075\u6d3b\u8fd0\u7528\u8fd9\u4e9b\u5de5\u5177\uff0c\u60a8\u53ef\u4ee5\u6709\u6548\u5730\u89e3\u51b3\u5404\u79cd\u590d\u6742\u95ee\u9898\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u590d\u6570\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u76f4\u63a5\u4f7f\u7528<code>j<\/code>\u6765\u8868\u793a\u865a\u90e8\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>z = 3 + 4j<\/code>\u6765\u521b\u5efa\u4e00\u4e2a\u590d\u6570\uff0c\u5176\u4e2d3\u662f\u5b9e\u90e8\uff0c4\u662f\u865a\u90e8\u3002Python\u4f1a\u81ea\u52a8\u5c06\u5176\u8bc6\u522b\u4e3a\u590d\u6570\u7c7b\u578b\u3002\u4f60\u4e5f\u53ef\u4ee5\u4f7f\u7528<code>complex()<\/code>\u51fd\u6570\u6765\u521b\u5efa\u590d\u6570\uff0c\u4f8b\u5982<code>z = complex(3, 4)<\/code>\u3002<\/p>\n<p><strong>Python\u4e2d\u590d\u6570\u7684\u5e38\u7528\u64cd\u4f5c\u6709\u54ea\u4e9b\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u8fdb\u884c\u591a\u79cd\u590d\u6570\u8fd0\u7b97\uff0c\u5305\u62ec\u52a0\u6cd5\u3001\u51cf\u6cd5\u3001\u4e58\u6cd5\u548c\u9664\u6cd5\u3002\u4f8b\u5982\uff0c\u4e24\u4e2a\u590d\u6570\u76f8\u52a0\u53ef\u4ee5\u7b80\u5355\u5730\u4f7f\u7528<code>z1 + z2<\/code>\u3002\u8fd8\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u65b9\u6cd5\u83b7\u53d6\u590d\u6570\u7684\u6a21\u548c\u76f8\u4f4d\uff0c\u5206\u522b\u901a\u8fc7<code>abs(z)<\/code>\u548c<code>cmath.phase(z)<\/code>\u6765\u5b9e\u73b0\u3002\u6b64\u5916\uff0c<code>cmath<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u590d\u6570\u8fd0\u7b97\u529f\u80fd\uff0c\u5982\u6307\u6570\u548c\u5bf9\u6570\u3002<\/p>\n<p><strong>\u5982\u4f55\u5728Python\u4e2d\u5904\u7406\u590d\u6570\u7684\u8f93\u51fa\u683c\u5f0f\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u683c\u5f0f\u5316\u5b57\u7b26\u4e32\u6765\u63a7\u5236\u590d\u6570\u7684\u8f93\u51fa\u683c\u5f0f\u3002\u4f7f\u7528<code>print(f&quot;{z.real} + {z.imag}j&quot;)<\/code>\u53ef\u4ee5\u5c06\u590d\u6570\u4ee5\u66f4\u53ef\u8bfb\u7684\u65b9\u5f0f\u8f93\u51fa\u3002\u4e5f\u53ef\u4ee5\u5229\u7528<code>format()<\/code>\u51fd\u6570\u6765\u5b9a\u5236\u8f93\u51fa\u683c\u5f0f\uff0c\u4f7f\u5176\u66f4\u7b26\u5408\u7279\u5b9a\u9700\u6c42\uff0c\u786e\u4fdd\u5728\u8f93\u51fa\u65f6\u4fdd\u6301\u6e05\u6670\u4e0e\u7f8e\u89c2\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u8868\u793a\u590d\u6570\u53ef\u4ee5\u901a\u8fc7\u4e09\u79cd\u4e3b\u8981\u65b9\u5f0f\uff1a\u4f7f\u7528\u5185\u7f6e\u7684complex\u51fd\u6570\u3001\u901a\u8fc7&#39;j&#39;\u7b26\u53f7\u76f4\u63a5\u5b9a [&hellip;]","protected":false},"author":3,"featured_media":1005490,"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\/1005484"}],"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=1005484"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1005484\/revisions"}],"predecessor-version":[{"id":1005493,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1005484\/revisions\/1005493"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1005490"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1005484"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1005484"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1005484"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}