{"id":1042449,"date":"2024-12-31T12:57:36","date_gmt":"2024-12-31T04:57:36","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1042449.html"},"modified":"2024-12-31T12:57:39","modified_gmt":"2024-12-31T04:57:39","slug":"python%e5%a6%82%e4%bd%95%e9%9a%8f%e6%9c%ba%e7%94%9f%e6%88%90%e4%ba%8c%e7%bb%b4%e6%95%b0%e7%bb%84","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1042449.html","title":{"rendered":"python\u5982\u4f55\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4"},"content":{"rendered":"

\"python\u5982\u4f55\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4\"<\/p>\n

Python\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd<\/strong>\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528numpy<\/code>\u5e93\u3001random<\/code>\u6a21\u5757\u548c\u5217\u8868\u751f\u6210\u5668\u3002\u4f7f\u7528numpy\u5e93\u3001\u4f7f\u7528random\u6a21\u5757\u3001\u4f7f\u7528\u5217\u8868\u751f\u6210\u5668<\/strong>\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u5e76\u63a2\u8ba8\u5b83\u4eec\u7684\u4f18\u7f3a\u70b9\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Numpy\u5e93<\/h3>\n<\/p>\n

Numpy\u662fPython\u4e2d\u4e00\u4e2a\u5f3a\u5927\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u51fd\u6570\u6765\u751f\u6210\u548c\u64cd\u4f5c\u6570\u7ec4\u3002\u4f7f\u7528Numpy\u751f\u6210\u968f\u673a\u4e8c\u7ef4\u6570\u7ec4\u975e\u5e38\u7b80\u5355\u4e14\u9ad8\u6548\u3002<\/p>\n<\/p>\n

1.1 \u4f7f\u7528numpy.random.rand<\/code><\/h4>\n<\/p>\n

numpy.random.rand<\/code>\u51fd\u6570\u53ef\u4ee5\u751f\u6210\u6307\u5b9a\u5f62\u72b6\u7684\u6570\u7ec4\uff0c\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u53d6\u503c\u8303\u56f4\u4e3a[0, 1)\u7684\u5747\u5300\u5206\u5e03\u968f\u673a\u6570\u3002<\/p>\n<\/p>\n

import numpy as np<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
array = np.random.rand(3, 4)<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2 \u4f7f\u7528numpy.random.randint<\/code><\/h4>\n<\/p>\n
numpy.random.randint<\/code>\u51fd\u6570\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6574\u6570\u6570\u7ec4\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5143\u7d20\u57280\u523010\u4e4b\u95f4<\/strong><\/h2>\n
array = np.random.randint(0, 10, size=(3, 4))<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.3 \u4f7f\u7528numpy.random.randn<\/code><\/h4>\n<\/p>\n
numpy.random.randn<\/code>\u51fd\u6570\u751f\u6210\u6307\u5b9a\u5f62\u72b6\u7684\u6807\u51c6\u6b63\u6001\u5206\u5e03\uff08\u5747\u503c\u4e3a0\uff0c\u65b9\u5dee\u4e3a1\uff09\u7684\u968f\u673a\u6570\u6570\u7ec4\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
array = np.random.randn(3, 4)<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Random\u6a21\u5757<\/h3>\n<\/p>\n
Python\u7684random<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u751f\u6210\u968f\u673a\u6570\u7684\u57fa\u672c\u65b9\u6cd5\uff0c\u4f46\u5b83\u6ca1\u6709\u76f4\u63a5\u751f\u6210\u6570\u7ec4\u7684\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u7ed3\u5408\u5217\u8868\u751f\u6210\u5668\u6765\u751f\u6210\u968f\u673a\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
2.1 \u4f7f\u7528random.random<\/code><\/h4>\n<\/p>\n
random.random<\/code>\u751f\u6210[0, 1)\u8303\u56f4\u5185\u7684\u6d6e\u70b9\u6570\u3002<\/p>\n<\/p>\n
import random<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
rows, cols = 3, 4<\/p>\n
array = [[random.random() for _ in range(cols)] for _ in range(rows)]<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u4f7f\u7528random.randint<\/code><\/h4>\n<\/p>\n
random.randint<\/code>\u751f\u6210\u6307\u5b9a\u8303\u56f4\u5185\u7684\u968f\u673a\u6574\u6570\u3002<\/p>\n<\/p>\n
import random<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5143\u7d20\u57280\u523010\u4e4b\u95f4<\/strong><\/h2>\n
rows, cols = 3, 4<\/p>\n
array = [[random.randint(0, 10) for _ in range(cols)] for _ in range(rows)]<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u5217\u8868\u751f\u6210\u5668<\/h3>\n<\/p>\n
\u5217\u8868\u751f\u6210\u5668\u662fPython\u4e2d\u521b\u5efa\u5217\u8868\u7684\u7b80\u6d01\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4e0erandom<\/code>\u6a21\u5757\u7ed3\u5408\u4f7f\u7528\u751f\u6210\u968f\u673a\u4e8c\u7ef4\u6570\u7ec4\u3002<\/p>\n<\/p>\n
3.1 \u751f\u6210\u6d6e\u70b9\u6570\u4e8c\u7ef4\u6570\u7ec4<\/h4>\n<\/p>\n
import random<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4<\/strong><\/h2>\n
rows, cols = 3, 4<\/p>\n
array = [[random.random() for _ in range(cols)] for _ in range(rows)]<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2 \u751f\u6210\u6574\u6570\u4e8c\u7ef4\u6570\u7ec4<\/h4>\n<\/p>\n
import random<\/p>\n
\u751f\u6210\u4e00\u4e2a3x4\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5143\u7d20\u57280\u523010\u4e4b\u95f4<\/strong><\/h2>\n
rows, cols = 3, 4<\/p>\n
array = [[random.randint(0, 10) for _ in range(cols)] for _ in range(rows)]<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3\u4e0e\u6bd4\u8f83<\/h3>\n<\/p>\n
4.1 Numpy\u5e93<\/h4>\n<\/p>\n
\u4f18\u70b9\uff1a<\/strong> \u529f\u80fd\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u6570\u7ec4\u64cd\u4f5c\u548c\u79d1\u5b66\u8ba1\u7b97\uff1b\u4ee3\u7801\u7b80\u6d01\uff0c\u6027\u80fd\u9ad8\u3002<\/p>\n<\/p>\n
\u7f3a\u70b9\uff1a<\/strong> \u9700\u8981\u989d\u5916\u5b89\u88c5Numpy\u5e93\uff1b\u5bf9\u521d\u5b66\u8005\u53ef\u80fd\u6709\u4e00\u5b9a\u95e8\u69db\u3002<\/p>\n<\/p>\n
4.2 Random\u6a21\u5757\u7ed3\u5408\u5217\u8868\u751f\u6210\u5668<\/h4>\n<\/p>\n
\u4f18\u70b9\uff1a<\/strong> \u4e0d\u9700\u8981\u989d\u5916\u5b89\u88c5\u5e93\uff0c\u4f7f\u7528Python\u6807\u51c6\u5e93\u5373\u53ef\u5b9e\u73b0\uff1b\u9002\u7528\u4e8e\u7b80\u5355\u7684\u968f\u673a\u6570\u7ec4\u751f\u6210\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u7f3a\u70b9\uff1a<\/strong> \u4ee3\u7801\u76f8\u5bf9\u5197\u957f\uff0c\u6027\u80fd\u4e0d\u5982Numpy\u9ad8\uff1b\u4e0d\u9002\u5408\u5927\u89c4\u6a21\u6570\u7ec4\u7684\u751f\u6210\u548c\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
4.3 \u5217\u8868\u751f\u6210\u5668<\/h4>\n<\/p>\n
\u4f18\u70b9\uff1a<\/strong> \u8bed\u6cd5\u7b80\u6d01\uff0c\u7075\u6d3b\u6027\u9ad8\uff1b\u9002\u7528\u4e8e\u5c0f\u89c4\u6a21\u6570\u7ec4\u7684\u751f\u6210\u3002<\/p>\n<\/p>\n
\u7f3a\u70b9\uff1a<\/strong> \u6027\u80fd\u8f83\u4f4e\uff0c\u4e0d\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\uff1b\u9700\u8981\u624b\u52a8\u63a7\u5236\u968f\u673a\u6570\u751f\u6210\u7684\u7ec6\u8282\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u5e94\u7528\u793a\u4f8b<\/h3>\n<\/p>\n
5.1 \u6570\u636e\u6a21\u62df<\/h4>\n<\/p>\n
\u5728\u6570\u636e\u79d1\u5b66\u548c\u673a\u5668\u5b66\u4e60<\/a>\u4e2d\uff0c\u7ecf\u5e38\u9700\u8981\u751f\u6210\u968f\u673a\u6570\u636e\u8fdb\u884c\u7b97\u6cd5\u6d4b\u8bd5\u548c\u6a21\u578b\u9a8c\u8bc1\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u4f7f\u7528Numpy\u751f\u6210\u6a21\u62df\u6570\u636e\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210100\u4e2a\u6837\u672c\uff0c\u6bcf\u4e2a\u6837\u672c\u670910\u4e2a\u7279\u5f81<\/strong><\/h2>\n
samples, features = 100, 10<\/p>\n
data = np.random.rand(samples, features)<\/p>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2 \u56fe\u50cf\u5904\u7406<\/h4>\n<\/p>\n
\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0c\u56fe\u50cf\u53ef\u4ee5\u8868\u793a\u4e3a\u4e8c\u7ef4\u6570\u7ec4\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u751f\u6210\u968f\u673a\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210\u4e00\u4e2a256x256\u7684\u7070\u5ea6\u56fe\u50cf<\/strong><\/h2>\n
height, width = 256, 256<\/p>\n
image = np.random.randint(0, 256, size=(height, width), dtype=np.uint8)<\/p>\n
print(image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.3 \u6e38\u620f\u5f00\u53d1<\/h4>\n<\/p>\n
\u5728\u6e38\u620f\u5f00\u53d1\u4e2d\uff0c\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u5730\u56fe\u6216\u5173\u5361\u662f\u5e38\u89c1\u9700\u6c42\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u5982\u4f55\u751f\u6210\u968f\u673a\u5730\u56fe\u3002<\/p>\n<\/p>\n
import random<\/p>\n
\u751f\u6210\u4e00\u4e2a10x10\u7684\u5730\u56fe\uff0c\u5143\u7d20\u4e3a0\u4ee3\u8868\u7a7a\u5730\uff0c1\u4ee3\u8868\u969c\u788d\u7269<\/strong><\/h2>\n
rows, cols = 10, 10<\/p>\n
map = [[random.randint(0, 1) for _ in range(cols)] for _ in range(rows)]<\/p>\n
for row in map:<\/p>\n
    print(' '.join(map(str, row)))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f18\u5316\u4e0e\u6269\u5c55<\/h3>\n<\/p>\n
6.1 \u4f18\u5316\u751f\u6210\u901f\u5ea6<\/h4>\n<\/p>\n
\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u7ec4\u7684\u751f\u6210\uff0cNumpy\u7684\u6027\u80fd\u4f18\u52bf\u660e\u663e\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bf9\u6bd4Numpy\u548c\u7eafPython\u751f\u6210\u968f\u673a\u6570\u7ec4\u7684\u901f\u5ea6\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
import random<\/p>\n
import time<\/p>\n
rows, cols = 1000, 1000<\/p>\n
\u4f7f\u7528Numpy\u751f\u6210<\/strong><\/h2>\n
start = time.time()<\/p>\n
array_np = np.random.rand(rows, cols)<\/p>\n
end = time.time()<\/p>\n
print("Numpy\u751f\u6210\u65f6\u95f4:", end - start)<\/p>\n
\u4f7f\u7528\u7eafPython\u751f\u6210<\/strong><\/h2>\n
start = time.time()<\/p>\n
array_py = [[random.random() for _ in range(cols)] for _ in range(rows)]<\/p>\n
end = time.time()<\/p>\n
print("\u7eafPython\u751f\u6210\u65f6\u95f4:", end - start)<\/p>\n
<\/code><\/pre>\n<\/p>\n
6.2 \u6269\u5c55\u751f\u6210\u65b9\u6cd5<\/h4>\n<\/p>\n
\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u6269\u5c55\u751f\u6210\u65b9\u6cd5\uff0c\u4f8b\u5982\u751f\u6210\u7279\u5b9a\u5206\u5e03\u7684\u968f\u673a\u6570\u3001\u751f\u6210\u7279\u5b9a\u7c7b\u578b\u7684\u6570\u7ec4\u7b49\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u751f\u62103x4\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u5143\u7d20\u670d\u4ece\u5747\u503c\u4e3a5\uff0c\u6807\u51c6\u5dee\u4e3a2\u7684\u6b63\u6001\u5206\u5e03<\/strong><\/h2>\n
mean, std = 5, 2<\/p>\n
array = np.random.normal(mean, std, size=(3, 4))<\/p>\n
print(array)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u591a\u79cd\u5728Python\u4e2d\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528Numpy\u5e93\u3001Random\u6a21\u5757\u548c\u5217\u8868\u751f\u6210\u5668\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u4f18\u7f3a\u70b9\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u5e94\u7528\u573a\u666f\u3002\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5728\u6570\u636e\u79d1\u5b66\u3001\u56fe\u50cf\u5904\u7406\u3001\u6e38\u620f\u5f00\u53d1\u7b49\u9886\u57df\u4e2d\u66f4\u9ad8\u6548\u5730\u5904\u7406\u968f\u673a\u6570\u636e\u751f\u6210\u4efb\u52a1\u3002\u5e0c\u671b\u672c\u6587\u5bf9\u60a8\u6709\u6240\u5e2e\u52a9\uff0c\u80fd\u591f\u5728\u5b9e\u9645\u9879\u76ee\u4e2d\u5e94\u7528\u8fd9\u4e9b\u6280\u672f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u521b\u5efa\u4e00\u4e2a\u968f\u673a\u7684\u4e8c\u7ef4\u6570\u7ec4\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528NumPy\u5e93\u6765\u8f7b\u677e\u751f\u6210\u968f\u673a\u7684\u4e8c\u7ef4\u6570\u7ec4\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86NumPy\u5e93\u3002\u7136\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528numpy.random.rand()<\/code>\u51fd\u6570\u6765\u751f\u6210\u6307\u5b9a\u5f62\u72b6\u7684\u968f\u673a\u6570\u7ec4\u3002\u4f8b\u5982\uff0cnumpy.random.rand(3, 4)<\/code>\u5c06\u751f\u6210\u4e00\u4e2a3\u884c4\u5217\u7684\u4e8c\u7ef4\u6570\u7ec4\uff0c\u6570\u7ec4\u4e2d\u7684\u5143\u7d20\u662f0\u52301\u4e4b\u95f4\u7684\u968f\u673a\u6d6e\u70b9\u6570\u3002<\/p>\n
\u53ef\u4ee5\u81ea\u5b9a\u4e49\u751f\u6210\u7684\u4e8c\u7ef4\u6570\u7ec4\u7684\u6570\u503c\u8303\u56f4\u5417\uff1f<\/strong>
\u5f53\u7136\u53ef\u4ee5\uff01\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u6570\u5b66\u8fd0\u7b97\u6765\u8c03\u6574\u751f\u6210\u7684\u968f\u673a\u6570\u8303\u56f4\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u60f3\u751f\u6210\u4e00\u4e2a\u8303\u56f4\u572810\u523050\u4e4b\u95f4\u7684\u968f\u673a\u4e8c\u7ef4\u6570\u7ec4\uff0c\u53ef\u4ee5\u5148\u751f\u6210\u4e00\u4e2a0\u52301\u4e4b\u95f4\u7684\u968f\u673a\u6570\u7ec4\uff0c\u7136\u540e\u5c06\u5176\u4e58\u4ee540\uff0850-10\uff09\uff0c\u6700\u540e\u52a0\u4e0a10\u3002\u4ee3\u7801\u793a\u4f8b\uff1a  <\/p>\n
import numpy as np\narray = np.random.rand(3, 4) * 40 + 10\n<\/code><\/pre>\n
\u5982\u4f55\u63a7\u5236\u751f\u6210\u7684\u968f\u673a\u4e8c\u7ef4\u6570\u7ec4\u7684\u5143\u7d20\u7c7b\u578b\uff1f<\/strong>
\u5982\u679c\u60a8\u9700\u8981\u751f\u6210\u7279\u5b9a\u7c7b\u578b\u7684\u5143\u7d20\uff0c\u6bd4\u5982\u6574\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528numpy.random.randint()<\/code>\u51fd\u6570\u3002\u8be5\u51fd\u6570\u5141\u8bb8\u60a8\u6307\u5b9a\u8303\u56f4\u548c\u5f62\u72b6\u3002\u4f8b\u5982\uff0c\u4f7f\u7528numpy.random.randint(1, 100, (3, 4))<\/code>\u53ef\u4ee5\u751f\u6210\u4e00\u4e2a3\u884c4\u5217\u7684\u968f\u673a\u6574\u6570\u6570\u7ec4\uff0c\u6570\u503c\u8303\u56f4\u57281\u5230100\u4e4b\u95f4\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u968f\u673a\u751f\u6210\u4e8c\u7ef4\u6570\u7ec4\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528numpy\u5e93\u3001random\u6a21\u5757\u548c\u5217\u8868\u751f\u6210\u5668\u3002\u4f7f\u7528n […]","protected":false},"author":3,"featured_media":1042462,"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\/1042449"}],"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=1042449"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1042449\/revisions"}],"predecessor-version":[{"id":1042464,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1042449\/revisions\/1042464"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1042462"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1042449"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1042449"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1042449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}