{"id":1051396,"date":"2024-12-31T14:16:08","date_gmt":"2024-12-31T06:16:08","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1051396.html"},"modified":"2024-12-31T14:16:10","modified_gmt":"2024-12-31T06:16:10","slug":"python%e7%94%bb%e5%9b%be%e5%a6%82%e4%bd%95%e6%a8%aa%e5%9d%90%e6%a0%87%e8%ae%be%e7%bd%ae%e4%b8%ba%e5%ad%97%e7%ac%a6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1051396.html","title":{"rendered":"python\u753b\u56fe\u5982\u4f55\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26"},"content":{"rendered":"

\"python\u753b\u56fe\u5982\u4f55\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\"<\/p>\n

Python\u753b\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26<\/strong>\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3001\u521b\u5efa\u6570\u636e\u3001\u7ed8\u5236\u56fe\u5f62\u5e76\u8bbe\u7f6e\u5b57\u7b26\u6807\u7b7e\u3002\u4e0b\u9762\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u8fc7\u7a0b\uff0c\u5e76\u63d0\u4f9b\u4e00\u4e9b\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u9700\u8981\u5bfc\u5165Matplotlib\u5e93\u3002Matplotlib\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u7ed8\u56fe\u5e93\u4e4b\u4e00\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u5f62\u548c\u56fe\u8868\u3002<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efa\u6570\u636e<\/h3>\n<\/p>\n
\u5728\u7ed8\u56fe\u4e4b\u524d\uff0c\u9700\u8981\u51c6\u5907\u597d\u6570\u636e\u3002\u6570\u636e\u901a\u5e38\u5305\u62ecx\u8f74\u548cy\u8f74\u7684\u503c\u3002\u5bf9\u4e8e\u6a2a\u5750\u6807\u4e3a\u5b57\u7b26\u7684\u60c5\u51b5\uff0cx\u8f74\u7684\u6570\u636e\u5c06\u662f\u5b57\u7b26\u6570\u7ec4\u3002<\/p>\n<\/p>\n
x = ['A', 'B', 'C', 'D', 'E']  # \u6a2a\u5750\u6807\u5b57\u7b26<\/p>\n
y = [1, 4, 9, 16, 25]  # \u7eb5\u5750\u6807\u6570\u636e<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u7ed8\u5236\u56fe\u5f62\u5e76\u8bbe\u7f6e\u5b57\u7b26\u6807\u7b7e<\/h3>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u4f7f\u7528Matplotlib\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\u3002\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528plt.xticks<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u5b57\u7b26\u6807\u7b7e\u3002<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xticks(x)  # \u8bbe\u7f6e\u6a2a\u5750\u6807\u4e3a\u5b57\u7b26<\/p>\n
plt.xlabel('Category')  # \u8bbe\u7f6ex\u8f74\u6807\u7b7e<\/p>\n
plt.ylabel('Values')  # \u8bbe\u7f6ey\u8f74\u6807\u7b7e<\/p>\n
plt.title('Example of Character X-axis')  # \u8bbe\u7f6e\u56fe\u8868\u6807\u9898<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u8be6\u7ec6\u63cf\u8ff0<\/h3>\n<\/p>\n
\u5728\u7ed8\u56fe\u65f6\uff0c\u4f7f\u7528\u5b57\u7b26\u4f5c\u4e3a\u6a2a\u5750\u6807\u6807\u7b7e\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u76f4\u89c2\u548c\u6613\u4e8e\u7406\u89e3<\/strong>\u3002\u4f8b\u5982\uff0c\u5728\u5206\u7c7b\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6a2a\u5750\u6807\u5e38\u5e38\u4ee3\u8868\u7c7b\u522b\uff0c\u800c\u7c7b\u522b\u901a\u5e38\u662f\u5b57\u7b26\u3002\u901a\u8fc7\u8bbe\u7f6e\u5b57\u7b26\u6807\u7b7e\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u5c55\u793a\u6570\u636e\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528plt.xticks<\/code>\u51fd\u6570<\/h4>\n<\/p>\n
plt.xticks<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u4e8e\u8bbe\u7f6e\u6a2a\u5750\u6807\u7684\u523b\u5ea6\u6807\u7b7e\u3002\u8be5\u51fd\u6570\u7684\u7b2c\u4e00\u4e2a\u53c2\u6570\u662f\u523b\u5ea6\u7684\u4f4d\u7f6e\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u662f\u523b\u5ea6\u6807\u7b7e\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5c06\u4efb\u610f\u5b57\u7b26\u8bbe\u7f6e\u4e3a\u6a2a\u5750\u6807\u6807\u7b7e\u3002<\/p>\n<\/p>\n
plt.xticks(ticks=[0, 1, 2, 3, 4], labels=['A', 'B', 'C', 'D', 'E'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528plt.xlabel<\/code>\u548cplt.ylabel<\/code>\u51fd\u6570<\/h4>\n<\/p>\n
plt.xlabel<\/code>\u548cplt.ylabel<\/code>\u51fd\u6570\u5206\u522b\u7528\u4e8e\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u7684\u6807\u7b7e\u3002\u8fd9\u4e9b\u6807\u7b7e\u6709\u52a9\u4e8e\u63cf\u8ff0\u6570\u636e\u7684\u542b\u4e49\uff0c\u4f7f\u56fe\u8868\u66f4\u5177\u53ef\u8bfb\u6027\u3002<\/p>\n<\/p>\n
plt.xlabel('Category')<\/p>\n
plt.ylabel('Values')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4f7f\u7528plt.title<\/code>\u51fd\u6570<\/h4>\n<\/p>\n
plt.title<\/code>\u51fd\u6570\u7528\u4e8e\u8bbe\u7f6e\u56fe\u8868\u7684\u6807\u9898\u3002\u6807\u9898\u53ef\u4ee5\u5e2e\u52a9\u89c2\u4f17\u5feb\u901f\u4e86\u89e3\u56fe\u8868\u7684\u4e3b\u9898\u548c\u5185\u5bb9\u3002<\/p>\n<\/p>\n
plt.title('Example of Character X-axis')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528Matplotlib\u7ed8\u5236\u4e00\u4e2a\u6a2a\u5750\u6807\u4e3a\u5b57\u7b26\u7684\u56fe\u8868\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
x = ['A', 'B', 'C', 'D', 'E']<\/p>\n
y = [1, 4, 9, 16, 25]<\/p>\n
\u7ed8\u56fe<\/strong><\/h2>\n
plt.plot(x, y, marker='o')<\/p>\n
\u8bbe\u7f6e\u6a2a\u5750\u6807\u4e3a\u5b57\u7b26<\/strong><\/h2>\n
plt.xticks(x)<\/p>\n
\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('Category')<\/p>\n
plt.ylabel('Values')<\/p>\n
\u8bbe\u7f6e\u56fe\u8868\u6807\u9898<\/strong><\/h2>\n
plt.title('Example of Character X-axis')<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u8fdb\u4e00\u6b65\u6269\u5c55<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u9700\u8981\u5bf9\u56fe\u8868\u8fdb\u884c\u66f4\u591a\u7684\u81ea\u5b9a\u4e49\u8bbe\u7f6e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u8c03\u6574\u56fe\u8868\u7684\u6837\u5f0f\u3001\u989c\u8272\u3001\u7ebf\u578b\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u81ea\u5b9a\u4e49\u8bbe\u7f6e\uff1a<\/p>\n<\/p>\n
1\u3001\u8c03\u6574\u56fe\u8868\u6837\u5f0f<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.style.use<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u56fe\u8868\u7684\u6837\u5f0f\u3002Matplotlib\u63d0\u4f9b\u4e86\u591a\u79cd\u9884\u5b9a\u4e49\u7684\u6837\u5f0f\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u9009\u62e9\u3002<\/p>\n<\/p>\n
plt.style.use('ggplot')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6e\u7ebf\u578b\u548c\u989c\u8272<\/h4>\n<\/p>\n
\u5728\u7ed8\u5236\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u53c2\u6570\u8bbe\u7f6e\u7ebf\u578b\u548c\u989c\u8272\u3002\u5e38\u89c1\u7684\u7ebf\u578b\u5305\u62ec'-'<\/code>\uff08\u5b9e\u7ebf\uff09\u3001'--'<\/code>\uff08\u865a\u7ebf\uff09\u3001'-.'<\/code>\uff08\u70b9\u5212\u7ebf\uff09\u7b49\u3002\u989c\u8272\u53ef\u4ee5\u901a\u8fc7\u989c\u8272\u540d\u6216\u989c\u8272\u4ee3\u7801\u8fdb\u884c\u8bbe\u7f6e\u3002<\/p>\n<\/p>\n
plt.plot(x, y, linestyle='--', color='r', marker='o')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u6dfb\u52a0\u56fe\u4f8b<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528plt.legend<\/code>\u51fd\u6570\u6dfb\u52a0\u56fe\u4f8b\uff0c\u5e2e\u52a9\u89c2\u4f17\u7406\u89e3\u56fe\u8868\u4e2d\u7684\u4e0d\u540c\u6570\u636e\u7cfb\u5217\u3002<\/p>\n<\/p>\n
plt.plot(x, y, label='Data 1')<\/p>\n
plt.legend()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u5b9e\u9645\u5e94\u7528\u4e2d\u7684\u4f8b\u5b50<\/h3>\n<\/p>\n
1\u3001\u5206\u7c7b\u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
\u5728\u5206\u7c7b\u6570\u636e\u5206\u6790\u4e2d\uff0c\u6a2a\u5750\u6807\u5e38\u5e38\u4ee3\u8868\u4e0d\u540c\u7684\u7c7b\u522b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5b57\u7b26\u4f5c\u4e3a\u6a2a\u5750\u6807\u6807\u7b7e\u6765\u5c55\u793a\u5206\u7c7b\u6570\u636e\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
categories = ['Category A', 'Category B', 'Category C', 'Category D']<\/p>\n
values = [10, 20, 15, 25]<\/p>\n
\u7ed8\u56fe<\/strong><\/h2>\n
plt.bar(categories, values, color='skyblue')<\/p>\n
\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('Categories')<\/p>\n
plt.ylabel('Values')<\/p>\n
\u8bbe\u7f6e\u56fe\u8868\u6807\u9898<\/strong><\/h2>\n
plt.title('Bar Chart with Character X-axis')<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u65f6\u95f4\u5e8f\u5217\u5206\u6790<\/h4>\n<\/p>\n
\u5728\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u4e2d\uff0c\u6a2a\u5750\u6807\u53ef\u4ee5\u662f\u65e5\u671f\u6216\u65f6\u95f4\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u5b57\u7b26\u4f5c\u4e3a\u6a2a\u5750\u6807\u6807\u7b7e\u6765\u5c55\u793a\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u6570\u636e<\/strong><\/h2>\n
dates = ['2023-01', '2023-02', '2023-03', '2023-04', '2023-05']<\/p>\n
values = [100, 150, 200, 250, 300]<\/p>\n
\u7ed8\u56fe<\/strong><\/h2>\n
plt.plot(dates, values, marker='o', linestyle='-')<\/p>\n
\u8bbe\u7f6ex\u8f74\u548cy\u8f74\u6807\u7b7e<\/strong><\/h2>\n
plt.xlabel('Date')<\/p>\n
plt.ylabel('Values')<\/p>\n
\u8bbe\u7f6e\u56fe\u8868\u6807\u9898<\/strong><\/h2>\n
plt.title('Time Series with Character X-axis')<\/p>\n
\u663e\u793a\u56fe\u8868<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u7ed3\u8bba<\/h3>\n<\/p>\n
\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\u3002\u8fd9\u5bf9\u4e8e\u5206\u7c7b\u6570\u636e\u5206\u6790\u548c\u65f6\u95f4\u5e8f\u5217\u5206\u6790\u7b49\u5e94\u7528\u975e\u5e38\u6709\u7528\u3002\u901a\u8fc7\u5408\u7406\u8bbe\u7f6e\u56fe\u8868\u7684\u6837\u5f0f\u3001\u989c\u8272\u548c\u6807\u7b7e\uff0c\u53ef\u4ee5\u521b\u5efa\u51fa\u76f4\u89c2\u4e14\u7f8e\u89c2\u7684\u56fe\u8868\uff0c\u5e2e\u52a9\u66f4\u597d\u5730\u5c55\u793a\u548c\u7406\u89e3\u6570\u636e\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u5bf9\u56fe\u8868\u8fdb\u884c\u66f4\u591a\u7684\u81ea\u5b9a\u4e49\u8bbe\u7f6e\uff0c\u4f7f\u5176\u66f4\u7b26\u5408\u5b9e\u9645\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\u800c\u4e0d\u662f\u6570\u5b57\uff1f<\/strong>
\u5728Python\u4e2d\u4f7f\u7528Matplotlib\u7ed8\u56fe\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6exticks\u6765\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\uff1a\u4f7f\u7528plt.xticks()<\/code>\u51fd\u6570\uff0c\u5e76\u4f20\u5165\u5b57\u7b26\u5217\u8868\u4f5c\u4e3a\u5750\u6807\u4f4d\u7f6e\u7684\u6807\u7b7e\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n
import matplotlib.pyplot as plt\n\nx = ['A', 'B', 'C', 'D']\ny = [10, 20, 15, 25]\n\nplt.bar(x, y)\nplt.xticks(rotation=45)  # \u5982\u679c\u9700\u8981\uff0c\u53ef\u4ee5\u65cb\u8f6c\u5b57\u7b26\u4ee5\u589e\u5f3a\u53ef\u8bfb\u6027\nplt.show()\n<\/code><\/pre>\n
\u53ef\u4ee5\u5c06\u5b57\u7b26\u4e0e\u6570\u5b57\u7ed3\u5408\u4f7f\u7528\u5417\uff1f<\/strong>
\u662f\u7684\uff0c\u53ef\u4ee5\u5728\u56fe\u4e2d\u540c\u65f6\u4f7f\u7528\u5b57\u7b26\u548c\u6570\u5b57\u4f5c\u4e3a\u6a2a\u7eb5\u5750\u6807\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u5c06\u5b57\u7b26\u4f5c\u4e3a\u6a2a\u5750\u6807\u800c\u5c06\u6570\u5b57\u4f5c\u4e3a\u7eb5\u5750\u6807\uff0c\u4f7f\u7528\u76f8\u540c\u7684plt.bar()<\/code>\u6216plt.plot()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u3002\u8fd9\u79cd\u65b9\u5f0f\u53ef\u4ee5\u66f4\u597d\u5730\u5c55\u793a\u5206\u7c7b\u6570\u636e\u4e0e\u6570\u503c\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n
\u5982\u4f55\u81ea\u5b9a\u4e49\u5b57\u7b26\u6a2a\u5750\u6807\u7684\u6837\u5f0f\u548c\u683c\u5f0f\uff1f<\/strong>
\u53ef\u4ee5\u901a\u8fc7Matplotlib\u7684\u591a\u79cd\u53c2\u6570\u6765\u81ea\u5b9a\u4e49\u5b57\u7b26\u6a2a\u5750\u6807\u7684\u6837\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528fontsize<\/code>\u53c2\u6570\u8c03\u6574\u5b57\u4f53\u5927\u5c0f\uff0c\u4f7f\u7528fontweight<\/code>\u6539\u53d8\u5b57\u4f53\u7684\u7c97\u7ec6\uff0c\u751a\u81f3\u4f7f\u7528color<\/code>\u53c2\u6570\u6539\u53d8\u5b57\u7b26\u7684\u989c\u8272\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n
plt.xticks(fontsize=12, fontweight='bold', color='blue')\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u4e9b\u53c2\u6570\uff0c\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u52a0\u7f8e\u89c2\u548c\u6613\u4e8e\u7406\u89e3\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u753b\u56fe\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Matplotlib\u5e93\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u5b57\u7b26\uff0c\u8fd9\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u6b65 […]","protected":false},"author":3,"featured_media":1051401,"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\/1051396"}],"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=1051396"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1051396\/revisions"}],"predecessor-version":[{"id":1051403,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1051396\/revisions\/1051403"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1051401"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1051396"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1051396"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1051396"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}