![\"python\u5982\u4f55\u628a1\u968f\u673a\u5206\u6210100\u4efd\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24183309\/1d761256-0377-455f-97c5-a458f2a1d4e4.webp\")
<\/p>\n<\/p>\n
\u5f00\u5934\u6bb5\u843d:<\/strong><\/p>\n<\/p>\n Python\u53ef\u4ee5\u901a\u8fc7\u751f\u6210\u968f\u673a\u6570\u3001\u4f7f\u7528\u7d2f\u52a0\u6cd5\u3001\u6b63\u6001\u5206\u5e03\u7b49\u65b9\u6cd5\u5c061\u968f\u673a\u5206\u6210100\u4efd<\/strong>\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u53ef\u4ee5\u901a\u8fc7\u751f\u6210100\u4e2a\u968f\u673a\u6570\u5e76\u5f52\u4e00\u5316\uff0c\u4f7f\u5176\u548c\u4e3a1\uff1b\u7d2f\u52a0\u6cd5\u5219\u662f\u901a\u8fc7\u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\u4e0d\u65ad\u7d2f\u52a0\u968f\u673a\u6570\uff0c\u76f4\u5230\u7d2f\u52a0\u503c\u8fbe\u52301\uff1b\u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5\u5219\u662f\u751f\u6210\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\uff0c\u518d\u5c06\u5176\u5f52\u4e00\u5316\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u8bb2\u89e3\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n \u6b63\u6587:<\/strong><\/p>\n<\/p>\n \u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u662f\u6bd4\u8f83\u76f4\u89c2\u7684\u4e00\u79cd\u65b9\u6cd5\uff0c\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528 random_numbers = [random.random() for _ in range(100)]<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u6bb5\u4ee3\u7801\u4f7f\u7528\u5217\u8868\u751f\u6210\u5f0f\u751f\u6210\u4e86100\u4e2a\u4ecb\u4e8e0\u548c1\u4e4b\u95f4\u7684\u968f\u673a\u6570\u3002<\/p>\n<\/p>\n \u63a5\u4e0b\u6765\uff0c\u9700\u8981\u8ba1\u7b97\u751f\u6210\u7684\u968f\u673a\u6570\u7684\u603b\u548c\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u6700\u540e\uff0c\u5c06\u6bcf\u4e2a\u968f\u673a\u6570\u9664\u4ee5\u603b\u548c\uff0c\u4f7f\u5f97\u5b83\u4eec\u7684\u548c\u4e3a1\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u6837\uff0c \u7d2f\u52a0\u6cd5\u662f\u4e00\u79cd\u901a\u8fc7\u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\u4e0d\u65ad\u7d2f\u52a0\u968f\u673a\u6570\uff0c\u76f4\u5230\u7d2f\u52a0\u503c\u8fbe\u52301\u7684\u65b9\u6cd5\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n \u9996\u5148\uff0c\u521d\u59cb\u5316\u4e00\u4e2a\u7a7a\u5217\u8868\u548c\u4e00\u4e2a\u7d2f\u52a0\u5668\uff1a<\/p>\n<\/p>\n accumulator = 0<\/p>\n <\/code><\/pre>\n<\/p>\n \u63a5\u4e0b\u6765\uff0c\u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\u751f\u6210\u968f\u673a\u6570\uff0c\u5e76\u5c06\u5176\u52a0\u5165\u7d2f\u52a0\u5668\uff1a<\/p>\n<\/p>\n random_number = random.random()<\/p>\n accumulator += random_number<\/p>\n random_numbers.append(random_number)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5f53\u7d2f\u52a0\u503c\u8fbe\u52301\u65f6\uff0c\u5faa\u73af\u7ed3\u675f\uff0c \u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5\u662f\u751f\u6210\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\uff0c\u518d\u5c06\u5176\u5f52\u4e00\u5316\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528 random_numbers = np.random.normal(size=100)<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u6bb5\u4ee3\u7801\u4f7f\u7528 \u63a5\u4e0b\u6765\uff0c\u9700\u8981\u8ba1\u7b97\u751f\u6210\u7684\u968f\u673a\u6570\u7684\u603b\u548c\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u6700\u540e\uff0c\u5c06\u6bcf\u4e2a\u968f\u673a\u6570\u9664\u4ee5\u603b\u548c\uff0c\u4f7f\u5f97\u5b83\u4eec\u7684\u548c\u4e3a1\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u6837\uff0c \u5c061\u968f\u673a\u5206\u6210100\u4efd\u7684\u65b9\u6cd5\u5728\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u4e2d\u975e\u5e38\u6709\u7528\u3002\u4f8b\u5982\uff0c\u5728\u91d1\u878d\u9886\u57df\uff0c\u53ef\u4ee5\u7528\u6765\u6a21\u62df\u80a1\u7968\u4ef7\u683c\u7684\u6ce2\u52a8\uff1b\u5728\u7269\u7406\u5b66\u4e2d\uff0c\u53ef\u4ee5\u7528\u6765\u6a21\u62df\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\uff1b\u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0c\u53ef\u4ee5\u7528\u6765\u751f\u6210\u968f\u673a\u6d4b\u8bd5\u6570\u636e\u7b49\u3002<\/p>\n<\/p>\n \u5728\u91d1\u878d\u9886\u57df\uff0c\u80a1\u7968\u4ef7\u683c\u7684\u6ce2\u52a8\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u968f\u673a\u7684\u3002\u901a\u8fc7\u5c061\u968f\u673a\u5206\u6210100\u4efd\uff0c\u53ef\u4ee5\u6a21\u62df\u80a1\u7968\u4ef7\u683c\u5728\u4e00\u5929\u4e2d\u7684\u6ce2\u52a8\u60c5\u51b5\u3002\u8fd9\u5bf9\u4e8e\u7814\u7a76\u80a1\u7968\u4ef7\u683c\u7684\u6ce2\u52a8\u89c4\u5f8b\u3001\u5236\u5b9a\u6295\u8d44\u7b56\u7565\u7b49\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<\/p>\n \u5728\u7269\u7406\u5b66\u4e2d\uff0c\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u662f\u4e00\u4e2a\u7ecf\u5178\u7684\u7814\u7a76\u8bfe\u9898\u3002\u901a\u8fc7\u5c061\u968f\u673a\u5206\u6210100\u4efd\uff0c\u53ef\u4ee5\u6a21\u62df\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9\u3002\u8fd9\u5bf9\u4e8e\u7814\u7a76\u7c92\u5b50\u7684\u8fd0\u52a8\u89c4\u5f8b\u3001\u9884\u6d4b\u7c92\u5b50\u7684\u8fd0\u52a8\u8def\u5f84\u7b49\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<\/p>\n \u5728\u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\uff0c\u751f\u6210\u968f\u673a\u6d4b\u8bd5\u6570\u636e\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u9700\u6c42\u3002\u901a\u8fc7\u5c061\u968f\u673a\u5206\u6210100\u4efd\uff0c\u53ef\u4ee5\u751f\u6210\u968f\u673a\u7684\u6d4b\u8bd5\u6570\u636e\u3002\u8fd9\u5bf9\u4e8e\u6d4b\u8bd5\u7b97\u6cd5\u7684\u6027\u80fd\u3001\u9a8c\u8bc1\u7a0b\u5e8f\u7684\u6b63\u786e\u6027\u7b49\u5177\u6709\u91cd\u8981\u610f\u4e49\u3002<\/p>\n<\/p>\n \u867d\u7136\u4ee5\u4e0a\u65b9\u6cd5\u53ef\u4ee5\u5b9e\u73b0\u5c061\u968f\u673a\u5206\u6210100\u4efd\uff0c\u4f46\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6709\u65f6\u9700\u8981\u5bf9\u8fd9\u4e9b\u65b9\u6cd5\u8fdb\u884c\u4f18\u5316\u548c\u6539\u8fdb\uff0c\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002<\/p>\n<\/p>\n \u5728\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u66f4\u9ad8\u6548\u7684\u968f\u673a\u6570\u751f\u6210\u7b97\u6cd5\u6765\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528 random_numbers = np.random.rand(100)<\/p>\n total_sum = np.sum(random_numbers)<\/p>\n normalized_numbers = random_numbers \/ total_sum<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u79cd\u65b9\u6cd5\u6bd4\u4f7f\u7528 \u5728\u7d2f\u52a0\u6cd5\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u4e00\u4e2a\u8f83\u5c0f\u7684\u9608\u503c\u6765\u63a7\u5236\u751f\u6210\u968f\u673a\u6570\u7684\u7cbe\u5ea6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u4e00\u4e2a\u9608\u503c random_numbers = []<\/p>\n accumulator = 0<\/p>\n while abs(accumulator - 1) > epsilon:<\/p>\n random_number = random.random()<\/p>\n accumulator += random_number<\/p>\n random_numbers.append(random_number)<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u7d2f\u52a0\u6cd5\u7684\u7cbe\u5ea6\u3002<\/p>\n<\/p>\n \u5728\u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u6b63\u6001\u5206\u5e03\u7684\u53c2\u6570\u6765\u63a7\u5236\u751f\u6210\u968f\u673a\u6570\u7684\u5206\u5e03\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u6b63\u6001\u5206\u5e03\u7684\u5747\u503c mu, sigma = 0, 1<\/p>\n random_numbers = np.random.normal(mu, sigma, 100)<\/p>\n total_sum = np.sum(random_numbers)<\/p>\n normalized_numbers = random_numbers \/ total_sum<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u751f\u6210\u7b26\u5408\u7279\u5b9a\u5206\u5e03\u7684\u968f\u673a\u6570\u3002<\/p>\n<\/p>\n \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u5c061\u968f\u673a\u5206\u6210100\u4efd\u7684\u65b9\u6cd5\uff0c\u4e0b\u9762\u901a\u8fc7\u4e00\u4e2a\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\u6765\u6f14\u793a\u8fd9\u4e9b\u65b9\u6cd5\u7684\u5177\u4f53\u5e94\u7528\u3002<\/p>\n<\/p>\n \u5728\u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u6765\u6a21\u62df\u80a1\u7968\u4ef7\u683c\u5728\u4e00\u5929\u4e2d\u7684\u6ce2\u52a8\u60c5\u51b5\u3002<\/p>\n<\/p>\n import matplotlib.pyplot as plt<\/p>\n random_numbers = np.random.rand(100)<\/p>\n total_sum = np.sum(random_numbers)<\/p>\n normalized_numbers = random_numbers \/ total_sum<\/p>\n stock_prices = np.cumsum(normalized_numbers)<\/p>\n plt.plot(stock_prices)<\/p>\n plt.xlabel('Time')<\/p>\n plt.ylabel('Stock Price')<\/p>\n plt.title('Stock Price Fluctuation Simulation')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86100\u4e2a\u968f\u673a\u6570\uff0c\u5e76\u5c06\u5176\u5f52\u4e00\u5316\uff0c\u7136\u540e\u901a\u8fc7\u7d2f\u52a0\u5f52\u4e00\u5316\u540e\u7684\u968f\u673a\u6570\u6765\u6a21\u62df\u80a1\u7968\u4ef7\u683c\u5728\u4e00\u5929\u4e2d\u7684\u6ce2\u52a8\u60c5\u51b5\u3002\u6700\u540e\uff0c\u901a\u8fc7\u7ed8\u5236\u80a1\u7968\u4ef7\u683c\u6ce2\u52a8\u56fe\u6765\u5c55\u793a\u6a21\u62df\u7ed3\u679c\u3002<\/p>\n<\/p>\n \u5728\u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u7d2f\u52a0\u6cd5\u6765\u6a21\u62df\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9\u3002<\/p>\n<\/p>\n import matplotlib.pyplot as plt<\/p>\n x, y = 0, 0<\/p>\n positions = [(x, y)]<\/p>\n for _ in range(100):<\/p>\n angle = random.uniform(0, 2 * np.pi)<\/p>\n x += np.cos(angle)<\/p>\n y += np.sin(angle)<\/p>\n positions.append((x, y))<\/p>\n positions = np.array(positions)<\/p>\n plt.plot(positions[:, 0], positions[:, 1])<\/p>\n plt.xlabel('X')<\/p>\n plt.ylabel('Y')<\/p>\n plt.title('Random Walk Simulation')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u7d2f\u52a0\u6cd5\u751f\u6210\u4e86\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9\u3002\u901a\u8fc7\u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\u751f\u6210\u968f\u673a\u89d2\u5ea6\uff0c\u5e76\u7d2f\u52a0\u7c92\u5b50\u7684\u8fd0\u52a8\u6b65\u957f\uff0c\u6700\u7ec8\u5f97\u5230\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9\u3002\u6700\u540e\uff0c\u901a\u8fc7\u7ed8\u5236\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9\u56fe\u6765\u5c55\u793a\u6a21\u62df\u7ed3\u679c\u3002<\/p>\n<\/p>\n \u5728\u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u5c06\u4f7f\u7528\u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5\u6765\u751f\u6210\u968f\u673a\u6d4b\u8bd5\u6570\u636e\u3002<\/p>\n<\/p>\n mu, sigma = 0, 1<\/p>\n random_numbers = np.random.normal(mu, sigma, 100)<\/p>\n total_sum = np.sum(random_numbers)<\/p>\n normalized_numbers = random_numbers \/ total_sum<\/p>\n print(normalized_numbers)<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u4e2a\u6848\u4f8b\u4e2d\uff0c\u6211\u4eec\u751f\u6210\u4e86\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\uff0c\u5e76\u5c06\u5176\u5f52\u4e00\u5316\uff0c\u7136\u540e\u6253\u5370\u751f\u6210\u7684\u968f\u673a\u6d4b\u8bd5\u6570\u636e\u3002<\/p>\n<\/p>\n \u5c061\u968f\u673a\u5206\u6210100\u4efd\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u3001\u7d2f\u52a0\u6cd5\u548c\u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u7f3a\u70b9\u548c\u9002\u7528\u573a\u666f\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u901a\u8fc7\u4f18\u5316\u548c\u6539\u8fdb\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u7ed3\u679c\u7684\u51c6\u786e\u6027\u3002\u901a\u8fc7\u5b9e\u9645\u5e94\u7528\u6848\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u66f4\u597d\u5730\u7406\u89e3\u8fd9\u4e9b\u65b9\u6cd5\u7684\u5177\u4f53\u5e94\u7528\uff0c\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6211\u4eec\u7684\u7f16\u7a0b\u80fd\u529b\u548c\u89e3\u51b3\u95ee\u9898\u7684\u80fd\u529b\u3002<\/p>\n<\/p>\n \u5982\u4f55\u5728Python\u4e2d\u751f\u6210\u968f\u673a\u5206\u6570\u4ee5\u5c061\u5206\u6210100\u4efd\uff1f<\/strong> \u8fd9\u6bb5\u4ee3\u7801\u4f1a\u751f\u6210\u4e00\u7ec4\u968f\u673a\u6570\uff0c\u4f7f\u5b83\u4eec\u7684\u603b\u548c\u7b49\u4e8e1\u3002<\/p>\n \u5728\u5c061\u5206\u6210100\u4efd\u65f6\uff0c\u5982\u4f55\u786e\u4fdd\u8fd9\u4e9b\u4efd\u6570\u7684\u968f\u673a\u6027\uff1f<\/strong> \u80fd\u5426\u5728Python\u4e2d\u4f7f\u7528\u5176\u4ed6\u5e93\u6765\u5b9e\u73b0\u5c061\u5206\u6210100\u4efd\u7684\u529f\u80fd\uff1f<\/strong> \u8fd9\u79cd\u65b9\u6cd5\u540c\u6837\u53ef\u4ee5\u751f\u6210\u548c\u5f52\u4e00\u5316\u968f\u673a\u6570\uff0c\u4f7f\u5f97\u5b83\u4eec\u7684\u603b\u548c\u4e3a1\u3002<\/p>\n \u5982\u4f55\u5728\u5206\u914d\u8fc7\u7a0b\u4e2d\u907f\u514d\u751f\u62100\u7684\u4efd\u989d\uff1f<\/strong> \u8fd9\u6837\u80fd\u591f\u786e\u4fdd\u6bcf\u4efd\u6570\u90fd\u662f\u6b63\u6570\u4e14\u603b\u548c\u4e3a1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5f00\u5934\u6bb5\u843d: Python\u53ef\u4ee5\u901a\u8fc7\u751f\u6210\u968f\u673a\u6570\u3001\u4f7f\u7528\u7d2f\u52a0\u6cd5\u3001\u6b63\u6001\u5206\u5e03\u7b49\u65b9\u6cd5\u5c061\u968f\u673a\u5206\u6210100\u4efd\u3002\u5176\u4e2d\uff0c\u4f7f\u7528\u751f\u6210\u968f\u673a […]","protected":false},"author":3,"featured_media":1081127,"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\/1081124"}],"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=1081124"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1081124\/revisions"}],"predecessor-version":[{"id":1081128,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1081124\/revisions\/1081128"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1081127"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1081124"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1081124"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1081124"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\u4e00\u3001\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5<\/h3>\n<\/p>\n
\n
1. \u751f\u6210100\u4e2a\u968f\u673a\u6570<\/h4>\n<\/p>\n
random<\/code>\u6a21\u5757\u6765\u751f\u6210\u968f\u673a\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\nimport random<\/p>\n2. \u8ba1\u7b97\u8fd9\u4e9b\u968f\u673a\u6570\u7684\u603b\u548c<\/h4>\n<\/p>\n
total_sum = sum(random_numbers)<\/p>\n3. \u5c06\u6bcf\u4e2a\u968f\u673a\u6570\u9664\u4ee5\u603b\u548c\uff0c\u5f52\u4e00\u5316<\/h4>\n<\/p>\n
normalized_numbers = [x \/ total_sum for x in random_numbers]<\/p>\nnormalized_numbers<\/code>\u5217\u8868\u4e2d\u7684\u5143\u7d20\u5c31\u662f\u5f52\u4e00\u5316\u540e\u7684\u968f\u673a\u6570\uff0c\u5b83\u4eec\u7684\u548c\u4e3a1\u3002<\/p>\n<\/p>\n\u4e8c\u3001\u7d2f\u52a0\u6cd5<\/h3>\n<\/p>\n
\n
1. \u521d\u59cb\u5316\u4e00\u4e2a\u7a7a\u5217\u8868\u548c\u4e00\u4e2a\u7d2f\u52a0\u5668<\/h4>\n<\/p>\n
random_numbers = []<\/p>\n2. \u5728\u4e00\u4e2a\u5faa\u73af\u4e2d\u751f\u6210\u968f\u673a\u6570\uff0c\u5e76\u5c06\u5176\u52a0\u5165\u7d2f\u52a0\u5668<\/h4>\n<\/p>\n
while accumulator < 1:<\/p>\n3. \u5c06\u7d2f\u52a0\u5668\u7684\u503c\u52a0\u5165\u5217\u8868\u4e2d\uff0c\u76f4\u5230\u7d2f\u52a0\u503c\u8fbe\u52301<\/h4>\n<\/p>\n
random_numbers<\/code>\u5217\u8868\u4e2d\u7684\u5143\u7d20\u5373\u4e3a\u968f\u673a\u5206\u6210\u7684\u6570\u3002<\/p>\n<\/p>\n\u4e09\u3001\u6b63\u6001\u5206\u5e03\u7684\u65b9\u6cd5<\/h3>\n<\/p>\n
\n
1. \u751f\u6210\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570<\/h4>\n<\/p>\n
numpy<\/code>\u6a21\u5757\u6765\u751f\u6210\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u4f8b\u5b50\uff1a<\/p>\n<\/p>\nimport numpy as np<\/p>\nnumpy<\/code>\u751f\u6210\u4e86100\u4e2a\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570\u3002<\/p>\n<\/p>\n2. \u8ba1\u7b97\u8fd9\u4e9b\u968f\u673a\u6570\u7684\u603b\u548c<\/h4>\n<\/p>\n
total_sum = np.sum(random_numbers)<\/p>\n3. \u5c06\u6bcf\u4e2a\u968f\u673a\u6570\u9664\u4ee5\u603b\u548c\uff0c\u5f52\u4e00\u5316<\/h4>\n<\/p>\n
normalized_numbers = random_numbers \/ total_sum<\/p>\nnormalized_numbers<\/code>\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u5c31\u662f\u5f52\u4e00\u5316\u540e\u7684\u968f\u673a\u6570\uff0c\u5b83\u4eec\u7684\u548c\u4e3a1\u3002<\/p>\n<\/p>\n\u56db\u3001\u5c061\u968f\u673a\u5206\u6210100\u4efd\u7684\u5b9e\u7528\u6027<\/h3>\n<\/p>\n
1. \u91d1\u878d\u9886\u57df\u7684\u5e94\u7528<\/h4>\n<\/p>\n
2. \u7269\u7406\u5b66\u4e2d\u7684\u5e94\u7528<\/h4>\n<\/p>\n
3. \u8ba1\u7b97\u673a\u79d1\u5b66\u4e2d\u7684\u5e94\u7528<\/h4>\n<\/p>\n
\u4e94\u3001\u4f18\u5316\u4e0e\u6539\u8fdb<\/h3>\n<\/p>\n
1. \u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u7684\u4f18\u5316<\/h4>\n<\/p>\n
numpy<\/code>\u6a21\u5757\u4e2d\u7684numpy.random.rand<\/code>\u51fd\u6570\u6765\u751f\u6210\u968f\u673a\u6570\uff1a<\/p>\n<\/p>\nimport numpy as np<\/p>\nrandom<\/code>\u6a21\u5757\u7684\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u6cd5\u66f4\u9ad8\u6548\u3002<\/p>\n<\/p>\n2. \u7d2f\u52a0\u6cd5\u7684\u6539\u8fdb<\/h4>\n<\/p>\n
epsilon<\/code>\uff0c\u5f53\u7d2f\u52a0\u503c\u4e0e1\u7684\u5dee\u503c\u5c0f\u4e8eepsilon<\/code>\u65f6\uff0c\u505c\u6b62\u751f\u6210\u968f\u673a\u6570\uff1a<\/p>\n<\/p>\nepsilon = 1e-6<\/p>\n3. \u6b63\u6001\u5206\u5e03\u65b9\u6cd5\u7684\u4f18\u5316<\/h4>\n<\/p>\n
mu<\/code>\u548c\u6807\u51c6\u5deesigma<\/code>\uff1a<\/p>\n<\/p>\nimport numpy as np<\/p>\n\u516d\u3001\u5b9e\u9645\u5e94\u7528\u6848\u4f8b<\/h3>\n<\/p>\n
1. \u80a1\u7968\u4ef7\u683c\u6ce2\u52a8\u6a21\u62df<\/h4>\n<\/p>\n
import numpy as np<\/p>\n\u751f\u6210100\u4e2a\u968f\u673a\u6570<\/strong><\/h2>\n
\u8ba1\u7b97\u968f\u673a\u6570\u7684\u603b\u548c<\/strong><\/h2>\n
\u5f52\u4e00\u5316\u968f\u673a\u6570<\/strong><\/h2>\n
\u6a21\u62df\u80a1\u7968\u4ef7\u683c\u6ce2\u52a8<\/strong><\/h2>\n
\u7ed8\u5236\u80a1\u7968\u4ef7\u683c\u6ce2\u52a8\u56fe<\/strong><\/h2>\n
2. \u7c92\u5b50\u968f\u673a\u8fd0\u52a8\u6a21\u62df<\/h4>\n<\/p>\n
import random<\/p>\n\u521d\u59cb\u5316\u7c92\u5b50\u7684\u8d77\u59cb\u4f4d\u7f6e<\/strong><\/h2>\n
\u7d2f\u52a0\u6cd5\u751f\u6210\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9<\/strong><\/h2>\n
\u7ed8\u5236\u7c92\u5b50\u7684\u968f\u673a\u8fd0\u52a8\u8f68\u8ff9<\/strong><\/h2>\n
3. \u968f\u673a\u6d4b\u8bd5\u6570\u636e\u751f\u6210<\/h4>\n<\/p>\n
import numpy as np<\/p>\n\u751f\u6210\u7b26\u5408\u6b63\u6001\u5206\u5e03\u7684\u968f\u673a\u6570<\/strong><\/h2>\n
\u8ba1\u7b97\u968f\u673a\u6570\u7684\u603b\u548c<\/strong><\/h2>\n
\u5f52\u4e00\u5316\u968f\u673a\u6570<\/strong><\/h2>\n
\u6253\u5370\u968f\u673a\u6d4b\u8bd5\u6570\u636e<\/strong><\/h2>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u5e93\u6765\u751f\u6210\u968f\u673a\u6570\u5e76\u5c06\u5176\u5f52\u4e00\u5316\u3002\u9996\u5148\uff0c\u751f\u6210100\u4e2a\u968f\u673a\u6570\uff0c\u7136\u540e\u5c06\u8fd9\u4e9b\u968f\u673a\u6570\u7684\u603b\u548c\u5f52\u4e00\u5316\u4e3a1\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\nimport numpy as np\n\nrandom_numbers = np.random.rand(100) # \u751f\u6210100\u4e2a\u968f\u673a\u6570\nnormalized_numbers = random_numbers \/ random_numbers.sum() # \u5f52\u4e00\u5316\n<\/code><\/pre>\n
\u4e3a\u4e86\u786e\u4fdd\u751f\u6210\u7684100\u4efd\u6570\u5177\u6709\u826f\u597d\u7684\u968f\u673a\u6027\uff0c\u53ef\u4ee5\u91c7\u7528\u4e0d\u540c\u7684\u65b9\u6cd5\u751f\u6210\u521d\u59cb\u968f\u673a\u6570\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e0d\u540c\u7684\u5206\u5e03\uff08\u5982\u6b63\u6001\u5206\u5e03\u6216\u5747\u5300\u5206\u5e03\uff09\u751f\u6210\u968f\u673a\u6570\uff0c\u6216\u8005\u4f7f\u7528\u4e0d\u540c\u7684\u968f\u673a\u79cd\u5b50\u6765\u5f71\u54cd\u7ed3\u679c\u7684\u968f\u673a\u6027\u3002\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u751f\u6210\u968f\u673a\u6570\u7684\u65b9\u5f0f\u6765\u83b7\u5f97\u66f4\u591a\u7684\u53d8\u5316\u3002<\/p>\n
\u9664\u4e86numpy\uff0cPython\u7684random\u5e93\u4e5f\u53ef\u4ee5\u5b9e\u73b0\u7c7b\u4f3c\u7684\u529f\u80fd\u3002\u4f7f\u7528random\u5e93\u7684sample\u51fd\u6570\u53ef\u4ee5\u9009\u62e9\u4e0d\u91cd\u590d\u7684\u968f\u673a\u6570\uff0c\u7ed3\u5408\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u4e5f\u53ef\u4ee5\u8fbe\u5230\u5c061\u5206\u6210100\u4efd\u7684\u6548\u679c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\nimport random\n\nrandom_numbers = [random.random() for _ in range(100)]\nnormalized_numbers = [x \/ sum(random_numbers) for x in random_numbers]\n<\/code><\/pre>\n
\u4e3a\u4e86\u786e\u4fdd\u6bcf\u4e00\u4efd\u90fd\u5927\u4e8e0\uff0c\u53ef\u4ee5\u5728\u751f\u6210\u968f\u673a\u6570\u65f6\u6dfb\u52a0\u4e00\u4e2a\u5c0f\u7684\u6b63\u6570\u03b5\uff0c\u4ee5\u907f\u514d\u51fa\u73b00\u7684\u60c5\u51b5\u3002\u53ef\u4ee5\u8fd9\u6837\u4fee\u6539\u751f\u6210\u968f\u673a\u6570\u7684\u4ee3\u7801\uff1a<\/p>\nepsilon = 1e-10 # \u4e00\u4e2a\u975e\u5e38\u5c0f\u7684\u6570\nrandom_numbers = np.random.rand(100) + epsilon\nnormalized_numbers = random_numbers \/ random_numbers.sum()\n<\/code><\/pre>\n