{"id":1102461,"date":"2025-01-08T16:00:07","date_gmt":"2025-01-08T08:00:07","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1102461.html"},"modified":"2025-01-08T16:00:09","modified_gmt":"2025-01-08T08:00:09","slug":"%e4%b8%89%e5%88%86%e6%ae%b5%e5%87%bd%e6%95%b0%e5%a6%82%e4%bd%95%e7%bc%96%e7%a8%8bpython-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1102461.html","title":{"rendered":"\u4e09\u5206\u6bb5\u51fd\u6570\u5982\u4f55\u7f16\u7a0bpython"},"content":{"rendered":"

\"\u4e09\u5206\u6bb5\u51fd\u6570\u5982\u4f55\u7f16\u7a0bpython\"<\/p>\n

\u4e09\u5206\u6bb5\u51fd\u6570\u5982\u4f55\u7f16\u7a0bpython<\/h3>\n<\/p>\n

\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u7f16\u7a0b\u5728Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\uff0c\u6839\u636e\u4e0d\u540c\u533a\u95f4\u7684\u8f93\u5165\u503c\u8fd4\u56de\u76f8\u5e94\u7684\u8f93\u51fa\u503c\u3002<\/strong>\u3001\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u8bed\u53e5<\/strong>\u3001\u5229\u7528numpy\u5e93\u8fdb\u884c\u77e2\u91cf\u5316\u5904\u7406<\/strong>\u3002\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u5229\u7528if-elif-else\u7ed3\u6784\u6765\u5904\u7406\u4e0d\u540c\u533a\u95f4\u7684\u60c5\u51b5\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff0c\u5e76\u793a\u4f8b\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\u3002<\/p>\n<\/p>\n

\u4e09\u5206\u6bb5\u51fd\u6570\u662f\u4e00\u79cd\u5206\u6bb5\u51fd\u6570\uff0c\u5b83\u5c06\u6574\u4e2a\u5b9a\u4e49\u57df\u5206\u6210\u4e09\u4e2a\u90e8\u5206\uff0c\u6bcf\u4e2a\u90e8\u5206\u5bf9\u5e94\u4e0d\u540c\u7684\u51fd\u6570\u8868\u8fbe\u5f0f\u3002\u6bd4\u5982\uff0c\u5b9a\u4e49\u4e00\u4e2a\u4e09\u5206\u6bb5\u51fd\u6570\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

[ f(x) = <\/p>\n

\\begin{cases} <\/p>\n

x^2 + 1 & \\text{if } x < 0 \\<\/p>\n

2x + 3 & \\text{if } 0 \\le x \\le 5 \\<\/p>\n

\\sqrt{x} & \\text{if } x > 5 <\/p>\n

\\end{cases}<\/p>\n

]<\/p>\n<\/p>\n

\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u8fd9\u4e00\u51fd\u6570\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b9a\u4e49\u4e09\u5206\u6bb5\u51fd\u6570<\/h3>\n<\/p>\n

\u8981\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\uff0c\u6211\u4eec\u9996\u5148\u9700\u8981\u5b9a\u4e49\u4e00\u4e2aPython\u51fd\u6570\uff0c\u5e76\u5728\u51fd\u6570\u5185\u90e8\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u8bed\u53e5\u6765\u5904\u7406\u4e0d\u540c\u533a\u95f4\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n

def piecewise_function(x):<\/p>\n
    if x < 0:<\/p>\n
        return x2 + 1<\/p>\n
    elif 0 <= x <= 5:<\/p>\n
        return 2*x + 3<\/p>\n
    else:<\/p>\n
        return x0.5<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2a\u540d\u4e3apiecewise_function<\/code>\u7684\u51fd\u6570\uff0c\u4f7f\u7528\u4e86if-elif-else\u7ed3\u6784\u6765\u5224\u65ad\u8f93\u5165\u503cx\u6240\u5728\u7684\u533a\u95f4\uff0c\u5e76\u8fd4\u56de\u76f8\u5e94\u7684\u51fd\u6570\u503c\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u6d4b\u8bd5\u51fd\u6570<\/h3>\n<\/p>\n
\u5b9a\u4e49\u597d\u51fd\u6570\u540e\uff0c\u6211\u4eec\u9700\u8981\u6d4b\u8bd5\u51fd\u6570\u7684\u6b63\u786e\u6027\uff0c\u786e\u4fdd\u5176\u5728\u4e0d\u540c\u533a\u95f4\u7684\u8fd4\u56de\u503c\u90fd\u662f\u6b63\u786e\u7684\u3002<\/p>\n<\/p>\n
# \u6d4b\u8bd5\u51fd\u6570<\/p>\n
test_values = [-2, 0, 3, 6]<\/p>\n
test_results = [piecewise_function(x) for x in test_values]<\/p>\n
print(test_results)  # \u8f93\u51fa: [5, 3, 9, 2.449489742783178]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u6d4b\u8bd5\u4e2d\uff0c\u6211\u4eec\u9009\u62e9\u4e864\u4e2a\u6d4b\u8bd5\u503c\uff0c\u5206\u522b\u662f-2\u30010\u30013\u548c6\uff0c\u8c03\u7528piecewise_function<\/code>\u5e76\u8f93\u51fa\u7ed3\u679c\uff0c\u786e\u4fdd\u6bcf\u4e2a\u503c\u90fd\u8fd4\u56de\u4e86\u6b63\u786e\u7684\u7ed3\u679c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528numpy\u8fdb\u884c\u77e2\u91cf\u5316\u5904\u7406<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u5904\u7406\u5927\u91cf\u6570\u636e\u7684\u60c5\u51b5\uff0c\u4f7f\u7528numpy\u5e93\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u6548\u7387\u3002\u6211\u4eec\u53ef\u4ee5\u5229\u7528numpy\u7684vectorize<\/code>\u51fd\u6570\u5c06\u4e0a\u8ff0\u51fd\u6570\u77e2\u91cf\u5316\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u5b9a\u4e49\u77e2\u91cf\u5316\u51fd\u6570<\/strong><\/h2>\n
vectorized_function = np.vectorize(piecewise_function)<\/p>\n
\u521b\u5efa\u6d4b\u8bd5\u6570\u7ec4<\/strong><\/h2>\n
test_array = np.array([-2, 0, 3, 6])<\/p>\n
\u5e94\u7528\u77e2\u91cf\u5316\u51fd\u6570<\/strong><\/h2>\n
result_array = vectorized_function(test_array)<\/p>\n
print(result_array)  # \u8f93\u51fa: [5.         3.         9.         2.44948974]<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4f7f\u7528np.vectorize<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06piecewise_function<\/code>\u77e2\u91cf\u5316\uff0c\u4ece\u800c\u80fd\u591f\u5bf9\u6570\u7ec4\u8fdb\u884c\u6279\u91cf\u64cd\u4f5c\uff0c\u63d0\u9ad8\u4e86\u6548\u7387\u3002<\/p>\n<\/p>\n
\u56db\u3001\u7ed8\u5236\u51fd\u6570\u56fe\u50cf<\/h3>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u884c\u4e3a\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528matplotlib\u5e93\u7ed8\u5236\u51fd\u6570\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efax\u503c\u6570\u7ec4<\/strong><\/h2>\n
x_values = np.linspace(-10, 10, 400)<\/p>\n
\u8ba1\u7b97y\u503c<\/strong><\/h2>\n
y_values = vectorized_function(x_values)<\/p>\n
\u7ed8\u5236\u56fe\u50cf<\/strong><\/h2>\n
plt.plot(x_values, y_values)<\/p>\n
plt.xlabel('x')<\/p>\n
plt.ylabel('f(x)')<\/p>\n
plt.title('Piecewise Function')<\/p>\n
plt.grid(True)<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528np.linspace<\/code>\u751f\u6210\u4e00\u4e2a\u4ece-10\u523010\u7684\u6570\u7ec4\uff0c\u7136\u540e\u4f7f\u7528\u77e2\u91cf\u5316\u540e\u7684\u51fd\u6570\u8ba1\u7b97\u6bcf\u4e2ax\u503c\u5bf9\u5e94\u7684y\u503c\uff0c\u5e76\u4f7f\u7528matplotlib\u7ed8\u5236\u56fe\u50cf\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u6269\u5c55\u5230\u591a\u7ef4\u60c5\u51b5<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5904\u7406\u591a\u7ef4\u8f93\u5165\u7684\u5206\u6bb5\u51fd\u6570\u3002\u6211\u4eec\u53ef\u4ee5\u5c06\u4e0a\u8ff0\u65b9\u6cd5\u6269\u5c55\u5230\u591a\u7ef4\u60c5\u51b5\u3002\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u4e8c\u7ef4\u8f93\u5165\u7684\u5206\u6bb5\u51fd\u6570\uff1a<\/p>\n<\/p>\n
[ f(x, y) = <\/p>\n
  \\begin{cases} <\/p>\n
   x^2 + y^2 & \\text{if } x + y < 1 \\<\/p>\n
   2x + 3y & \\text{if } 1 \\le x + y \\le 5 \\<\/p>\n
   \\sqrt{x} + \\sqrt{y} & \\text{if } x + y > 5 <\/p>\n
  \\end{cases}<\/p>\n
]<\/p>\n<\/p>\n
def piecewise_function_2d(x, y):<\/p>\n
    if x + y < 1:<\/p>\n
        return x<strong>2 + y<\/strong>2<\/p>\n
    elif 1 <= x + y <= 5:<\/p>\n
        return 2*x + 3*y<\/p>\n
    else:<\/p>\n
        return np.sqrt(x) + np.sqrt(y)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6211\u4eec\u540c\u6837\u53ef\u4ee5\u4f7f\u7528np.vectorize<\/code>\u5c06\u5176\u77e2\u91cf\u5316\uff0c\u5e76\u8fdb\u884c\u6d4b\u8bd5\u548c\u7ed8\u56fe\u3002<\/p>\n<\/p>\n
# \u5b9a\u4e49\u77e2\u91cf\u5316\u51fd\u6570<\/p>\n
vectorized_function_2d = np.vectorize(piecewise_function_2d)<\/p>\n
\u521b\u5efa\u6d4b\u8bd5\u6570\u7ec4<\/strong><\/h2>\n
x_values = np.linspace(-10, 10, 400)<\/p>\n
y_values = np.linspace(-10, 10, 400)<\/p>\n
X, Y = np.meshgrid(x_values, y_values)<\/p>\n
\u8ba1\u7b97z\u503c<\/strong><\/h2>\n
Z = vectorized_function_2d(X, Y)<\/p>\n
\u7ed8\u5236\u56fe\u50cf<\/strong><\/h2>\n
fig = plt.figure()<\/p>\n
ax = fig.add_subplot(111, projection='3d')<\/p>\n
ax.plot_surface(X, Y, Z, cmap='viridis')<\/p>\n
ax.set_xlabel('x')<\/p>\n
ax.set_ylabel('y')<\/p>\n
ax.set_zlabel('f(x, y)')<\/p>\n
plt.title('2D Piecewise Function')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u8f7b\u677e\u5730\u6269\u5c55\u5230\u591a\u7ef4\u60c5\u51b5\uff0c\u5e76\u4f7f\u75283D\u56fe\u50cf\u66f4\u76f4\u89c2\u5730\u5c55\u793a\u51fd\u6570\u884c\u4e3a\u3002<\/p>\n<\/p>\n
\u516d\u3001\u66f4\u591a\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
\u4e09\u5206\u6bb5\u51fd\u6570\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\uff0c\u5982\u4fe1\u53f7\u5904\u7406\u3001\u63a7\u5236\u7cfb\u7edf\u3001\u7ecf\u6d4e\u5b66\u5efa\u6a21\u7b49\u3002\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5177\u4f53\u7684\u5e94\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
1\u3001\u4fe1\u53f7\u5904\u7406<\/h4>\n<\/p>\n
\u5728\u4fe1\u53f7\u5904\u7406\u9886\u57df\uff0c\u5206\u6bb5\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u63cf\u8ff0\u975e\u7ebf\u6027\u7cfb\u7edf\u7684\u7279\u6027\u3002\u4f8b\u5982\uff0c\u4e00\u4e2a\u7535\u5b50\u653e\u5927\u5668\u7684\u8f93\u51fa\u53ef\u80fd\u5728\u4e0d\u540c\u7684\u8f93\u5165\u7535\u538b\u8303\u56f4\u5185\u8868\u73b0\u51fa\u4e0d\u540c\u7684\u589e\u76ca\u7279\u6027\u3002<\/p>\n<\/p>\n
def amplifier_gAI<\/a>n(input_voltage):<\/p>\n
    if input_voltage < 1:<\/p>\n
        return 2 * input_voltage<\/p>\n
    elif 1 <= input_voltage <= 5:<\/p>\n
        return 5 * input_voltage - 3<\/p>\n
    else:<\/p>\n
        return 10<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u63cf\u8ff0\u653e\u5927\u5668\u7684\u975e\u7ebf\u6027\u884c\u4e3a\uff0c\u5e76\u8fdb\u884c\u76f8\u5173\u7684\u5206\u6790\u548c\u8bbe\u8ba1\u3002<\/p>\n<\/p>\n
2\u3001\u63a7\u5236\u7cfb\u7edf<\/h4>\n<\/p>\n
\u5728\u63a7\u5236\u7cfb\u7edf\u4e2d\uff0c\u5206\u6bb5\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u63cf\u8ff0\u7cfb\u7edf\u5728\u4e0d\u540c\u72b6\u6001\u4e0b\u7684\u52a8\u6001\u7279\u6027\u3002\u4f8b\u5982\uff0c\u6e29\u5ea6\u63a7\u5236\u7cfb\u7edf\u53ef\u80fd\u5728\u4e0d\u540c\u7684\u6e29\u5ea6\u8303\u56f4\u5185\u91c7\u7528\u4e0d\u540c\u7684\u63a7\u5236\u7b56\u7565\u3002<\/p>\n<\/p>\n
def temperature_control(temp):<\/p>\n
    if temp < 20:<\/p>\n
        return 'Heating'<\/p>\n
    elif 20 <= temp <= 25:<\/p>\n
        return 'Idle'<\/p>\n
    else:<\/p>\n
        return 'Cooling'<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u8bbe\u8ba1\u66f4\u7075\u6d3b\u548c\u9ad8\u6548\u7684\u63a7\u5236\u7cfb\u7edf\u3002<\/p>\n<\/p>\n
3\u3001\u7ecf\u6d4e\u5b66\u5efa\u6a21<\/h4>\n<\/p>\n
\u5728\u7ecf\u6d4e\u5b66\u4e2d\uff0c\u5206\u6bb5\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u63cf\u8ff0\u4e0d\u540c\u6536\u5165\u6c34\u5e73\u4e0b\u7684\u7a0e\u6536\u653f\u7b56\u3002\u4f8b\u5982\uff0c\u4e0d\u540c\u6536\u5165\u6c34\u5e73\u7684\u4eba\u53ef\u80fd\u9002\u7528\u4e0d\u540c\u7684\u7a0e\u7387\u3002<\/p>\n<\/p>\n
def tax_policy(income):<\/p>\n
    if income < 10000:<\/p>\n
        return income * 0.1<\/p>\n
    elif 10000 <= income <= 50000:<\/p>\n
        return 1000 + (income - 10000) * 0.2<\/p>\n
    else:<\/p>\n
        return 9000 + (income - 50000) * 0.3<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5206\u6790\u548c\u8bbe\u8ba1\u7a0e\u6536\u653f\u7b56\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f18\u5316\u4e0e\u6027\u80fd\u63d0\u5347<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\u9700\u8981\u5173\u6ce8\u6027\u80fd\u4f18\u5316\u3002\u4ee5\u4e0b\u662f\u51e0\u4e2a\u63d0\u5347\u6027\u80fd\u7684\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528numpy\u7684\u5185\u7f6e\u51fd\u6570<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u7b80\u5355\u7684\u5206\u6bb5\u51fd\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u7684\u5185\u7f6e\u51fd\u6570\u8fdb\u884c\u5411\u91cf\u5316\u5904\u7406\u3002\u4f8b\u5982\uff0c\u4f7f\u7528np.piecewise<\/code>\u51fd\u6570\u53ef\u4ee5\u7b80\u5316\u4ee3\u7801\u5e76\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
def piecewise_function(x):<\/p>\n
    conditions = [x < 0, (0 <= x) & (x <= 5), x > 5]<\/p>\n
    functions = [lambda x: x<strong>2 + 1, lambda x: 2*x + 3, lambda x: x<\/strong>0.5]<\/p>\n
    return np.piecewise(x, conditions, functions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u7b80\u5316\u4e86\u4ee3\u7801\uff0c\u8fd8\u80fd\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n
2\u3001\u5e76\u884c\u8ba1\u7b97<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u636e\u5904\u7406\uff0c\u53ef\u4ee5\u5229\u7528\u5e76\u884c\u8ba1\u7b97\u52a0\u901f\u3002Python\u7684multiprocessing<\/code>\u5e93\u548cjoblib<\/code>\u5e93\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684\u5e76\u884c\u8ba1\u7b97\u63a5\u53e3\u3002<\/p>\n<\/p>\n
from joblib import Parallel, delayed<\/p>\n
def parallel_piecewise_function(x):<\/p>\n
    if x < 0:<\/p>\n
        return x2 + 1<\/p>\n
    elif 0 <= x <= 5:<\/p>\n
        return 2*x + 3<\/p>\n
    else:<\/p>\n
        return x0.5<\/p>\n
test_values = np.linspace(-10, 10, 400)<\/p>\n
result_values = Parallel(n_jobs=-1)(delayed(parallel_piecewise_function)(x) for x in test_values)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u591a\u6838CPU\u7684\u8ba1\u7b97\u80fd\u529b\uff0c\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u672c\u6587\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\uff0c\u5305\u62ec\u4f7f\u7528\u6761\u4ef6\u5224\u65ad\u8bed\u53e5\u3001\u77e2\u91cf\u5316\u5904\u7406\u3001\u7ed8\u5236\u51fd\u6570\u56fe\u50cf\u3001\u591a\u7ef4\u6269\u5c55\u4ee5\u53ca\u5b9e\u9645\u5e94\u7528\u573a\u666f\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u5904\u7406\u5404\u79cd\u5206\u6bb5\u51fd\u6570\uff0c\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6548\u7387\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u7ed3\u5408\u6027\u80fd\u4f18\u5316\u6280\u5de7\uff0c\u53ef\u4ee5\u5b9e\u73b0\u9ad8\u6548\u3001\u7075\u6d3b\u7684\u4e09\u5206\u6bb5\u51fd\u6570\u5904\u7406\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u4e09\u5206\u6bb5\u51fd\u6570\u7684\u57fa\u672c\u6982\u5ff5\u662f\u4ec0\u4e48\uff1f<\/strong>
\u4e09\u5206\u6bb5\u51fd\u6570\u662f\u4e00\u79cd\u5b9a\u4e49\u5728\u4e0d\u540c\u533a\u95f4\u5185\u7684\u51fd\u6570\uff0c\u5176\u8868\u8fbe\u5f0f\u5728\u6bcf\u4e2a\u533a\u95f4\u5185\u53ef\u80fd\u6709\u6240\u4e0d\u540c\u3002\u5728\u7f16\u7a0b\u65f6\uff0c\u7406\u89e3\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u7ed3\u6784\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u901a\u5e38\u60c5\u51b5\u4e0b\uff0c\u4e09\u5206\u6bb5\u51fd\u6570\u4f1a\u6839\u636e\u8f93\u5165\u503c\u7684\u8303\u56f4\u9009\u62e9\u76f8\u5e94\u7684\u51fd\u6570\u8868\u8fbe\u5f0f\u8fdb\u884c\u8ba1\u7b97\u3002\u8fd9\u79cd\u51fd\u6570\u5728\u6570\u636e\u5904\u7406\u548c\u6570\u5b66\u5efa\u6a21\u4e2d\u5e7f\u6cdb\u5e94\u7528\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u7b80\u5355\u7684if-elif-else\u8bed\u53e5\u6765\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\uff0c\u6839\u636e\u8f93\u5165\u7684\u6570\u503c\u5224\u65ad\u5c5e\u4e8e\u54ea\u4e2a\u533a\u95f4\uff0c\u7136\u540e\u8fd4\u56de\u5bf9\u5e94\u7684\u7ed3\u679c\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u7075\u6d3b\u5730\u5904\u7406\u4e0d\u540c\u533a\u95f4\u7684\u903b\u8f91\uff0c\u5e76\u5b9e\u73b0\u590d\u6742\u7684\u51fd\u6570\u884c\u4e3a\u3002<\/p>\n
def piecewise_function(x):\n    if x < 0:\n        return 2 * x\n    elif 0 <= x < 1:\n        return x ** 2\n    else:\n        return x + 1\n<\/code><\/pre>\n
\u5982\u4f55\u6d4b\u8bd5\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u6b63\u786e\u6027\uff1f<\/strong>
\u6d4b\u8bd5\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u6b63\u786e\u6027\u9700\u8981\u5bf9\u4e0d\u540c\u7684\u8f93\u5165\u503c\u8fdb\u884c\u68c0\u9a8c\u3002\u53ef\u4ee5\u4f7f\u7528assert\u8bed\u53e5\u6216unittest\u6a21\u5757\u6765\u9a8c\u8bc1\u51fd\u6570\u7684\u8f93\u51fa\u662f\u5426\u7b26\u5408\u9884\u671f\u3002\u4f8b\u5982\uff0c\u9488\u5bf9\u5b9a\u4e49\u7684\u4e09\u5206\u6bb5\u51fd\u6570\uff0c\u53ef\u4ee5\u9009\u62e9\u4e00\u4e9b\u7279\u5b9a\u7684\u6d4b\u8bd5\u503c\u5e76\u68c0\u67e5\u8fd4\u56de\u7ed3\u679c\u3002\u786e\u4fdd\u51fd\u6570\u5728\u6240\u6709\u5b9a\u4e49\u7684\u533a\u95f4\u5185\u90fd\u80fd\u8fd4\u56de\u6b63\u786e\u7684\u7ed3\u679c\uff0c\u53ef\u4ee5\u5e2e\u52a9\u53d1\u73b0\u6f5c\u5728\u7684\u903b\u8f91\u9519\u8bef\u3002<\/p>\n
assert piecewise_function(-1) == -2\nassert piecewise_function(0.5) == 0.25\nassert piecewise_function(2) == 3\n<\/code><\/pre>\n
\u662f\u5426\u53ef\u4ee5\u4f7f\u7528numpy\u7b49\u5e93\u6765\u7b80\u5316\u4e09\u5206\u6bb5\u51fd\u6570\u7684\u7f16\u5199\uff1f<\/strong>
\u662f\u7684\uff0c\u4f7f\u7528numpy\u5e93\u53ef\u4ee5\u66f4\u9ad8\u6548\u5730\u5904\u7406\u4e09\u5206\u6bb5\u51fd\u6570\u3002\u901a\u8fc7numpy\u7684\u5411\u91cf\u5316\u64cd\u4f5c\uff0c\u53ef\u4ee5\u5bf9\u6570\u7ec4\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5e94\u7528\u4e09\u5206\u6bb5\u903b\u8f91\uff0c\u800c\u4e0d\u9700\u8981\u663e\u5f0f\u5730\u5199\u51fa\u5faa\u73af\u3002\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u63d0\u9ad8\u4e86\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\uff0c\u8fd8\u5927\u5927\u63d0\u9ad8\u4e86\u6267\u884c\u6548\u7387\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528numpy\u7684np.where<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u4e09\u5206\u6bb5\u51fd\u6570\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/p>\n
import numpy as np\n\ndef piecewise_numpy(x):\n    return np.where(x < 0, 2 * x, np.where(x < 1, x ** 2, x + 1))\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"\u4e09\u5206\u6bb5\u51fd\u6570\u5982\u4f55\u7f16\u7a0bpython \u4e09\u5206\u6bb5\u51fd\u6570\u7684\u7f16\u7a0b\u5728Python\u4e2d\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u51fd\u6570\uff0c\u6839\u636e\u4e0d\u540c\u533a\u95f4\u7684\u8f93\u5165\u503c\u8fd4\u56de […]","protected":false},"author":3,"featured_media":1102467,"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\/1102461"}],"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=1102461"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1102461\/revisions"}],"predecessor-version":[{"id":1102469,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1102461\/revisions\/1102469"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1102467"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1102461"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1102461"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1102461"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}