{"id":1180317,"date":"2025-01-15T18:35:17","date_gmt":"2025-01-15T10:35:17","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1180317.html"},"modified":"2025-01-15T18:35:20","modified_gmt":"2025-01-15T10:35:20","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e7%bc%96%e5%86%99%e5%85%ac%e5%bc%8f%e8%ae%a1%e7%ae%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1180317.html","title":{"rendered":"\u5982\u4f55\u5728Python\u7f16\u5199\u516c\u5f0f\u8ba1\u7b97"},"content":{"rendered":"

\"\u5982\u4f55\u5728Python\u7f16\u5199\u516c\u5f0f\u8ba1\u7b97\"<\/p>\n

\u5728Python\u7f16\u5199\u516c\u5f0f\u8ba1\u7b97\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u3001\u6807\u51c6\u5e93\u4e2d\u7684\u6570\u5b66\u6a21\u5757\u3001\u7b2c\u4e09\u65b9\u5e93\u5982NumPy\u548cSymPy\u7b49\u3002<\/strong> \u6700\u7b80\u5355\u7684\u65b9\u5f0f\u662f\u76f4\u63a5\u5728Python\u4e2d\u4f7f\u7528\u7b97\u672f\u8fd0\u7b97\u7b26\u8fdb\u884c\u57fa\u672c\u7684\u52a0\u51cf\u4e58\u9664\u8fd0\u7b97\u3002\u5982\u679c\u9700\u8981\u66f4\u590d\u6742\u7684\u6570\u5b66\u529f\u80fd\uff0c\u53ef\u4ee5\u5229\u7528Python\u7684math<\/code>\u6a21\u5757\u3002\u5bf9\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u77e9\u9635\u8fd0\u7b97\uff0cNumPy\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5de5\u5177\u3002\u6700\u540e\uff0c\u5982\u679c\u9700\u8981\u7b26\u53f7\u8ba1\u7b97\u548c\u516c\u5f0f\u6c42\u89e3\uff0cSymPy\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u9009\u62e9\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u7684\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528Python\u5185\u7f6e\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u3002<\/p>\n<\/p>\n

\u4e00\u3001Python\u5185\u7f6e\u7b97\u672f\u8fd0\u7b97\u7b26<\/h2>\n<\/p>\n

Python\u5185\u7f6e\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u5305\u62ec\u52a0\uff08+<\/code>\uff09\u3001\u51cf\uff08-<\/code>\uff09\u3001\u4e58\uff08*<\/code>\uff09\u3001\u9664\uff08\/<\/code>\uff09\u3001\u53d6\u6574\u9664\uff08\/\/<\/code>\uff09\u3001\u53d6\u4f59\uff08%<\/code>\uff09\u548c\u5e42\u8fd0\u7b97\uff08<\/code>\uff09\u3002\u8fd9\u4e9b\u8fd0\u7b97\u7b26\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u8fdb\u884c\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u3002<\/p>\n<\/p>\n

1.1 \u52a0\u6cd5\u548c\u51cf\u6cd5<\/h3>\n<\/p>\n

a = 10<\/p>\n
b = 5<\/p>\n
sum_result = a + b<\/p>\n
sub_result = a - b<\/p>\n
print("Sum:", sum_result)<\/p>\n
print("Subtraction:", sub_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2 \u4e58\u6cd5\u548c\u9664\u6cd5<\/h3>\n<\/p>\n
c = 6<\/p>\n
d = 3<\/p>\n
mul_result = c * d<\/p>\n
div_result = c \/ d<\/p>\n
print("Multiplication:", mul_result)<\/p>\n
print("Division:", div_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.3 \u53d6\u6574\u9664\u548c\u53d6\u4f59<\/h3>\n<\/p>\n
e = 7<\/p>\n
f = 2<\/p>\n
floor_div_result = e \/\/ f<\/p>\n
mod_result = e % f<\/p>\n
print("Floor Division:", floor_div_result)<\/p>\n
print("Modulus:", mod_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.4 \u5e42\u8fd0\u7b97<\/h3>\n<\/p>\n
g = 2<\/p>\n
h = 3<\/p>\n
pow_result = g  h<\/p>\n
print("Power:", pow_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528math\u6a21\u5757<\/h2>\n<\/p>\n
Python\u7684math<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u6570\u5b66\u51fd\u6570\uff0c\u5982\u5e73\u65b9\u6839\u3001\u5bf9\u6570\u3001\u4e09\u89d2\u51fd\u6570\u7b49\u3002\u4f7f\u7528\u8fd9\u4e9b\u51fd\u6570\u53ef\u4ee5\u5b9e\u73b0\u66f4\u590d\u6742\u7684\u6570\u5b66\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
2.1 \u5bfc\u5165math\u6a21\u5757<\/h3>\n<\/p>\n
import math<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u5e38\u7528\u51fd\u6570<\/h3>\n<\/p>\n
2.2.1 \u5e73\u65b9\u6839<\/h4>\n<\/p>\n
num = 16<\/p>\n
sqrt_result = math.sqrt(num)<\/p>\n
print("Square Root:", sqrt_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2.2 \u5bf9\u6570\u51fd\u6570<\/h4>\n<\/p>\n
num = 100<\/p>\n
log_result = math.log10(num)<\/p>\n
print("Logarithm base 10:", log_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2.3 \u4e09\u89d2\u51fd\u6570<\/h4>\n<\/p>\n
angle = math.radians(30)  # \u5c06\u89d2\u5ea6\u8f6c\u6362\u4e3a\u5f27\u5ea6<\/p>\n
sin_result = math.sin(angle)<\/p>\n
cos_result = math.cos(angle)<\/p>\n
tan_result = math.tan(angle)<\/p>\n
print("Sine:", sin_result)<\/p>\n
print("Cosine:", cos_result)<\/p>\n
print("Tangent:", tan_result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.3 \u5e38\u91cf<\/h3>\n<\/p>\n
math<\/code>\u6a21\u5757\u8fd8\u63d0\u4f9b\u4e86\u4e00\u4e9b\u5e38\u7528\u7684\u6570\u5b66\u5e38\u91cf\uff0c\u5982\u03c0\uff08math.pi<\/code>\uff09\u548c\u81ea\u7136\u5bf9\u6570\u7684\u5e95\u6570e\uff08math.e<\/code>\uff09\u3002<\/p>\n<\/p>\n
print("PI:", math.pi)<\/p>\n
print("Euler's number:", math.e)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528NumPy\u8fdb\u884c\u79d1\u5b66\u8ba1\u7b97<\/h2>\n<\/p>\n
NumPy\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u591a\u7ef4\u6570\u7ec4\u5bf9\u8c61\u548c\u5404\u79cd\u6570\u5b66\u51fd\u6570\uff0c\u53ef\u4ee5\u8fdb\u884c\u5feb\u901f\u7684\u77e9\u9635\u8fd0\u7b97\u548c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
3.1 \u5b89\u88c5NumPy<\/h3>\n<\/p>\n
\u5728\u4f7f\u7528NumPy\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u5b83\uff1a<\/p>\n<\/p>\n
pip install numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2 \u5bfc\u5165NumPy<\/h3>\n<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.3 \u521b\u5efa\u6570\u7ec4<\/h3>\n<\/p>\n
array = np.array([1, 2, 3, 4, 5])<\/p>\n
print("Array:", array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.4 \u6570\u7ec4\u8fd0\u7b97<\/h3>\n<\/p>\n
3.4.1 \u6570\u7ec4\u52a0\u6cd5<\/h4>\n<\/p>\n
array1 = np.array([1, 2, 3])<\/p>\n
array2 = np.array([4, 5, 6])<\/p>\n
sum_array = array1 + array2<\/p>\n
print("Sum of Arrays:", sum_array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.4.2 \u6570\u7ec4\u4e58\u6cd5<\/h4>\n<\/p>\n
mul_array = array1 * array2<\/p>\n
print("Multiplication of Arrays:", mul_array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.5 \u5e38\u7528\u51fd\u6570<\/h3>\n<\/p>\n
3.5.1 \u5e73\u65b9\u6839<\/h4>\n<\/p>\n
sqrt_array = np.sqrt(array)<\/p>\n
print("Square Root of Array:", sqrt_array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.5.2 \u5bf9\u6570\u51fd\u6570<\/h4>\n<\/p>\n
log_array = np.log(array)<\/p>\n
print("Natural Logarithm of Array:", log_array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.5.3 \u77e9\u9635\u8fd0\u7b97<\/h4>\n<\/p>\n
matrix1 = np.array([[1, 2], [3, 4]])<\/p>\n
matrix2 = np.array([[5, 6], [7, 8]])<\/p>\n
product_matrix = np.dot(matrix1, matrix2)<\/p>\n
print("Product of Matrices:\\n", product_matrix)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528SymPy\u8fdb\u884c\u7b26\u53f7\u8ba1\u7b97<\/h2>\n<\/p>\n
SymPy\u662f\u4e00\u4e2a\u7528\u4e8e\u7b26\u53f7\u6570\u5b66\u8ba1\u7b97\u7684Python\u5e93\uff0c\u5b83\u53ef\u4ee5\u8fdb\u884c\u4ee3\u6570\u8fd0\u7b97\u3001\u5fae\u5206\u3001\u79ef\u5206\u7b49\u7b26\u53f7\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
4.1 \u5b89\u88c5SymPy<\/h3>\n<\/p>\n
\u5728\u4f7f\u7528SymPy\u4e4b\u524d\uff0c\u9700\u8981\u5148\u5b89\u88c5\u5b83\uff1a<\/p>\n<\/p>\n
pip install sympy<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2 \u5bfc\u5165SymPy<\/h3>\n<\/p>\n
import sympy as sp<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.3 \u7b26\u53f7\u53d8\u91cf<\/h3>\n<\/p>\n
x = sp.symbols('x')<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.4 \u7b26\u53f7\u8868\u8fbe\u5f0f<\/h3>\n<\/p>\n
4.4.1 \u4ee3\u6570\u8fd0\u7b97<\/h4>\n<\/p>\n
expr = x2 + 2*x + 1<\/p>\n
print("Expression:", expr)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.4.2 \u5fae\u5206<\/h4>\n<\/p>\n
diff_expr = sp.diff(expr, x)<\/p>\n
print("Derivative:", diff_expr)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.4.3 \u79ef\u5206<\/h4>\n<\/p>\n
integral_expr = sp.integrate(expr, x)<\/p>\n
print("Integral:", integral_expr)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.4.4 \u89e3\u65b9\u7a0b<\/h4>\n<\/p>\n
eq = sp.Eq(expr, 0)<\/p>\n
solutions = sp.solve(eq, x)<\/p>\n
print("Solutions:", solutions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u7efc\u5408\u793a\u4f8b<\/h2>\n<\/p>\n
\u4e0b\u9762\u662f\u4e00\u4e2a\u7efc\u5408\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u4e0a\u8ff0\u65b9\u6cd5\u8fdb\u884c\u590d\u6742\u7684\u516c\u5f0f\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
5.1 \u8ba1\u7b97\u4e8c\u6b21\u65b9\u7a0b\u7684\u89e3<\/h3>\n<\/p>\n
\u4e8c\u6b21\u65b9\u7a0b\u7684\u4e00\u822c\u5f62\u5f0f\u4e3aax^2 + bx + c = 0<\/code>\uff0c\u5176\u89e3\u53ef\u4ee5\u901a\u8fc7\u6c42\u89e3\u516c\u5f0fx = (-b \u00b1 sqrt(b^2 - 4ac)) \/ 2a<\/code>\u5f97\u5230\u3002\u6211\u4eec\u5c06\u4f7f\u7528SymPy\u6765\u8ba1\u7b97\u8fd9\u4e2a\u516c\u5f0f\u3002<\/p>\n<\/p>\n
import sympy as sp<\/p>\n
\u5b9a\u4e49\u7b26\u53f7\u53d8\u91cf<\/strong><\/h2>\n
a, b, c = sp.symbols('a b c')<\/p>\n
x = sp.symbols('x')<\/p>\n
\u5b9a\u4e49\u4e8c\u6b21\u65b9\u7a0b<\/strong><\/h2>\n
quadratic_eq = a*x2 + b*x + c<\/p>\n
\u6c42\u89e3\u65b9\u7a0b<\/strong><\/h2>\n
solutions = sp.solve(quadratic_eq, x)<\/p>\n
print("Solutions:", solutions)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2 \u6570\u503c\u8ba1\u7b97<\/h3>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5177\u4f53\u7684\u4e8c\u6b21\u65b9\u7a0b2x^2 - 4x + 2 = 0<\/code>\uff0c\u6211\u4eec\u5c06\u4f7f\u7528NumPy\u8fdb\u884c\u6570\u503c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u7cfb\u6570<\/strong><\/h2>\n
a = 2<\/p>\n
b = -4<\/p>\n
c = 2<\/p>\n
\u8ba1\u7b97\u5224\u522b\u5f0f<\/strong><\/h2>\n
discriminant = b2 - 4*a*c<\/p>\n
\u8ba1\u7b97\u89e3<\/strong><\/h2>\n
if discriminant >= 0:<\/p>\n
    sol1 = (-b + np.sqrt(discriminant)) \/ (2*a)<\/p>\n
    sol2 = (-b - np.sqrt(discriminant)) \/ (2*a)<\/p>\n
    print("Solutions:", sol1, sol2)<\/p>\n
else:<\/p>\n
    print("No real solutions")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u6b65\u9aa4\uff0c\u60a8\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u5728Python\u4e2d\u7f16\u5199\u516c\u5f0f\u8ba1\u7b97\uff0c\u4ece\u7b80\u5355\u7684\u7b97\u672f\u8fd0\u7b97\u5230\u590d\u6742\u7684\u7b26\u53f7\u8ba1\u7b97\u3002Python\u4e30\u5bcc\u7684\u5e93\u548c\u6a21\u5757\u4f7f\u5f97\u6570\u5b66\u8ba1\u7b97\u53d8\u5f97\u975e\u5e38\u7075\u6d3b\u548c\u9ad8\u6548<\/strong>\uff0c\u65e0\u8bba\u662f\u7b80\u5355\u7684\u6570\u503c\u8ba1\u7b97\u8fd8\u662f\u590d\u6742\u7684\u7b26\u53f7\u8fd0\u7b97\uff0c\u90fd\u53ef\u4ee5\u627e\u5230\u5408\u9002\u7684\u5de5\u5177\u6765\u5b9e\u73b0\u3002\u5e0c\u671b\u8fd9\u4e9b\u793a\u4f8b\u80fd\u591f\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u7406\u89e3\u5982\u4f55\u5728Python\u4e2d\u8fdb\u884c\u516c\u5f0f\u8ba1\u7b97\uff0c\u5e76\u5e94\u7528\u4e8e\u5b9e\u9645\u95ee\u9898\u4e2d\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5728Python\u4e2d\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u5e93\u6765\u8fdb\u884c\u516c\u5f0f\u8ba1\u7b97\uff1f<\/strong>
Python\u63d0\u4f9b\u4e86\u591a\u4e2a\u5f3a\u5927\u7684\u5e93\u6765\u5904\u7406\u516c\u5f0f\u8ba1\u7b97\u3002\u5176\u4e2d\uff0cNumPy\u662f\u6700\u5e38\u7528\u7684\u5e93\u4e4b\u4e00\uff0c\u80fd\u591f\u9ad8\u6548\u5730\u8fdb\u884c\u6570\u7ec4\u548c\u77e9\u9635\u8fd0\u7b97\u3002\u6b64\u5916\uff0cSymPy\u662f\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u7b26\u53f7\u6570\u5b66\u7684\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7528\u6237\u8fdb\u884c\u7b26\u53f7\u8ba1\u7b97\u548c\u516c\u5f0f\u63a8\u5bfc\u3002\u8fd8\u6709Pandas\uff0c\u9002\u5408\u5904\u7406\u6570\u636e\u5206\u6790\u4e2d\u7684\u516c\u5f0f\u8ba1\u7b97\uff0c\u5c24\u5176\u662f\u5728\u6570\u636e\u6846\u7684\u64cd\u4f5c\u4e2d\u975e\u5e38\u4fbf\u6377\u3002<\/p>\n
\u5982\u4f55\u5728Python\u4e2d\u5b9e\u73b0\u7b80\u5355\u7684\u6570\u5b66\u516c\u5f0f\u8ba1\u7b97\uff1f<\/strong>
\u5b9e\u73b0\u7b80\u5355\u6570\u5b66\u516c\u5f0f\u8ba1\u7b97\u5341\u5206\u7b80\u5355\u3002\u7528\u6237\u53ea\u9700\u4f7f\u7528Python\u7684\u57fa\u672c\u7b97\u672f\u8fd0\u7b97\u7b26\uff0c\u5982\u52a0\uff08+\uff09\u3001\u51cf\uff08-\uff09\u3001\u4e58\uff08*\uff09\u548c\u9664\uff08\/\uff09\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u76f4\u63a5\u5728Python\u4ea4\u4e92\u5f0f\u73af\u5883\u6216\u811a\u672c\u4e2d\u5199\u5165\u8868\u8fbe\u5f0f\uff0c\u5982result = (5 + 3) * 2<\/code>\uff0c\u7136\u540e\u8f93\u51faresult<\/code>\u5373\u53ef\u5f97\u5230\u8ba1\u7b97\u7ed3\u679c\u3002<\/p>\n
\u5982\u4f55\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u516c\u5f0f\u6216\u65b9\u7a0b\uff1f<\/strong>
\u5904\u7406\u590d\u6742\u7684\u6570\u5b66\u516c\u5f0f\u6216\u65b9\u7a0b\u65f6\uff0c\u53ef\u4ee5\u5229\u7528SymPy\u5e93\u3002\u7528\u6237\u53ef\u4ee5\u5b9a\u4e49\u7b26\u53f7\u53d8\u91cf\u5e76\u521b\u5efa\u65b9\u7a0b\uff0c\u7136\u540e\u5229\u7528\u8be5\u5e93\u63d0\u4f9b\u7684\u6c42\u89e3\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u4f7f\u7528solve()<\/code>\u51fd\u6570\u53ef\u4ee5\u8f7b\u677e\u6c42\u89e3\u4ee3\u6570\u65b9\u7a0b\u3002\u6b64\u5916\uff0cSymPy\u8fd8\u652f\u6301\u5fae\u79ef\u5206\u8fd0\u7b97\u3001\u77e9\u9635\u8fd0\u7b97\u7b49\uff0c\u9002\u5408\u9700\u8981\u8fdb\u884c\u6df1\u5165\u6570\u5b66\u8ba1\u7b97\u7684\u573a\u666f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u7f16\u5199\u516c\u5f0f\u8ba1\u7b97\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u5305\u62ec\u4f7f\u7528\u5185\u7f6e\u7684\u7b97\u672f\u8fd0\u7b97\u7b26\u3001\u6807\u51c6\u5e93\u4e2d\u7684\u6570\u5b66\u6a21\u5757\u3001\u7b2c\u4e09\u65b9\u5e93\u5982NumPy\u548cS […]","protected":false},"author":3,"featured_media":1180323,"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\/1180317"}],"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=1180317"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180317\/revisions"}],"predecessor-version":[{"id":1180325,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180317\/revisions\/1180325"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1180323"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1180317"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1180317"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1180317"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}