{"id":968758,"date":"2024-12-27T05:09:54","date_gmt":"2024-12-26T21:09:54","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/968758.html"},"modified":"2024-12-27T05:09:57","modified_gmt":"2024-12-26T21:09:57","slug":"python%e5%a6%82%e4%bd%95%e8%b0%83%e6%95%b4%e6%a8%aa%e5%9d%90%e6%a0%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/968758.html","title":{"rendered":"python\u5982\u4f55\u8c03\u6574\u6a2a\u5750\u6807"},"content":{"rendered":"

\"python\u5982\u4f55\u8c03\u6574\u6a2a\u5750\u6807\"<\/p>\n

\u5728Python\u4e2d\uff0c\u8c03\u6574\u6a2a\u5750\u6807\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Matplotlib\u5e93\u3001\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u3001\u65cb\u8f6c\u6807\u7b7e\u3001\u8c03\u6574\u5750\u6807\u8303\u56f4\u3002<\/strong> \u8fd9\u4e9b\u65b9\u6cd5\u901a\u8fc7\u4e0d\u540c\u7684\u65b9\u5f0f\u6765\u5b9a\u5236\u56fe\u8868\u7684\u663e\u793a\u6548\u679c\uff0c\u4f7f\u5f97\u6570\u636e\u7684\u53ef\u89c6\u5316\u66f4\u52a0\u6e05\u6670\u548c\u7f8e\u89c2\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u4f7f\u7528Matplotlib\u5e93\u8fdb\u884c\u6a2a\u5750\u6807\u8c03\u6574\u7684\u5177\u4f53\u6b65\u9aa4\u53ca\u6ce8\u610f\u4e8b\u9879\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528MATPLOTLIB\u5e93<\/p>\n<\/p>\n

Matplotlib\u662fPython\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\uff0c\u4e3b\u8981\u7528\u4e8e\u751f\u6210\u9759\u6001\u3001\u4ea4\u4e92\u5f0f\u548c\u52a8\u6001\u7684\u4e8c\u7ef4\u56fe\u5f62\u3002\u901a\u8fc7Matplotlib\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u8c03\u6574\u56fe\u8868\u7684\u6a2a\u5750\u6807\u3002\u8981\u8c03\u6574\u6a2a\u5750\u6807\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165Matplotlib\u5e93\u3002<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u4f7f\u7528plt.plot()<\/code>\u6216\u5176\u4ed6\u7ed8\u56fe\u51fd\u6570\u6765\u521b\u5efa\u57fa\u672c\u7684\u56fe\u5f62\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7plt.xticks()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u6a2a\u5750\u6807\u7684\u523b\u5ea6\u548c\u6807\u7b7e\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u5217\u8868\u6765\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e\uff0c\u5e76\u901a\u8fc7\u53e6\u4e00\u4e2a\u5217\u8868\u6765\u8bbe\u7f6e\u76f8\u5e94\u7684\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xticks([0, 1, 2, 3], ['A', 'B', 'C', 'D'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u6839\u636e\u9700\u8981\u81ea\u5b9a\u4e49\u6a2a\u5750\u6807\u7684\u663e\u793a\u65b9\u5f0f\uff0c\u4f7f\u5f97\u56fe\u5f62\u66f4\u52a0\u76f4\u89c2\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e<\/p>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u60a8\u53ef\u80fd\u5e0c\u671b\u81ea\u5b9a\u4e49\u6a2a\u5750\u6807\u7684\u523b\u5ea6\u6807\u7b7e\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u53cd\u6620\u6570\u636e\u7684\u542b\u4e49\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7plt.xticks()<\/code>\u51fd\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u9664\u4e86\u8bbe\u7f6e\u523b\u5ea6\u4f4d\u7f6e\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u4f20\u9012\u4e00\u4e2a\u5b57\u7b26\u4e32\u5217\u8868\u6765\u6307\u5b9a\u523b\u5ea6\u6807\u7b7e\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u5047\u8bbe\u60a8\u6709\u4e00\u7ec4\u6570\u636e\u9700\u8981\u6309\u7167\u6708\u4efd\u663e\u793a\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xticks(range(12), months)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u56fe\u8868\u7684\u53ef\u8bfb\u6027\uff0c\u4f7f\u5f97\u89c2\u4f17\u66f4\u5bb9\u6613\u7406\u89e3\u6570\u636e\u7684\u65f6\u95f4\u7ef4\u5ea6\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u65cb\u8f6c\u6807\u7b7e<\/p>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u6a2a\u5750\u6807\u6807\u7b7e\u53ef\u80fd\u4f1a\u91cd\u53e0\u6216\u8fc7\u4e8e\u5bc6\u96c6\uff0c\u5bfc\u81f4\u96be\u4ee5\u9605\u8bfb\u3002\u4e3a\u4e86\u907f\u514d\u8fd9\u79cd\u60c5\u51b5\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7plt.xticks(rotation=angle)<\/code>\u51fd\u6570\u6765\u65cb\u8f6c\u6807\u7b7e\uff0c\u4ece\u800c\u63d0\u9ad8\u56fe\u8868\u7684\u6e05\u6670\u5ea6\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5c06\u6807\u7b7e\u65cb\u8f6c45\u5ea6\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xticks(rotation=45)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u7528\u4e8e\u6807\u7b7e\u8f83\u957f\u6216\u5bc6\u96c6\u7684\u573a\u666f\uff0c\u53ef\u4ee5\u663e\u8457\u6539\u5584\u56fe\u8868\u7684\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/p>\n
\u56db\u3001\u8c03\u6574\u5750\u6807\u8303\u56f4<\/p>\n<\/p>\n
\u6709\u65f6\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u9650\u5236\u6a2a\u5750\u6807\u7684\u663e\u793a\u8303\u56f4\uff0c\u4ee5\u4fbf\u66f4\u597d\u5730\u805a\u7126\u4e8e\u7279\u5b9a\u7684\u6570\u636e\u533a\u57df\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7plt.xlim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u6a2a\u5750\u6807\u7684\u663e\u793a\u8303\u56f4\u3002<\/p>\n<\/p>\n
\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u5c06\u6a2a\u5750\u6807\u9650\u5236\u57280\u523010\u4e4b\u95f4\uff1a<\/p>\n<\/p>\n
plt.plot(x, y)<\/p>\n
plt.xlim(0, 10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u60a8\u6392\u9664\u4e0d\u5fc5\u8981\u7684\u6570\u636e\u5e72\u6270\uff0c\u4f7f\u5f97\u56fe\u8868\u66f4\u5177\u9488\u5bf9\u6027\u548c\u5b9e\u7528\u6027\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528\u65e5\u671f\u683c\u5f0f\u5316<\/p>\n<\/p>\n
\u5982\u679c\u60a8\u7684\u6570\u636e\u6d89\u53ca\u65f6\u95f4\u5e8f\u5217\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u65e5\u671f\u683c\u5f0f\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u4f7f\u7528matplotlib.dates<\/code>\u6a21\u5757\u63d0\u4f9b\u7684\u529f\u80fd\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u5bfc\u5165matplotlib.dates<\/code>\u6a21\u5757\uff1a<\/p>\n<\/p>\n
import matplotlib.dates as mdates<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7136\u540e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528mdates.DateFormatter<\/code>\u6765\u8bbe\u7f6e\u65e5\u671f\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u8bbe\u7f6e\u4e3aYYYY-MM-DD<\/code>\u683c\u5f0f\uff1a<\/p>\n<\/p>\n
plt.plot(dates, values)<\/p>\n
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u4f7f\u5f97\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u7684\u53ef\u89c6\u5316\u66f4\u52a0\u4e13\u4e1a\u548c\u6e05\u6670\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528PANDAS\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u7ed8\u56fe<\/p>\n<\/p>\n
Pandas\u5e93\u662fPython\u4e2d\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u7ed3\u5408Matplotlib\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u65f6\u95f4\u5e8f\u5217\u7684\u7ed8\u56fe\u548c\u6a2a\u5750\u6807\u8c03\u6574\u3002<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u9700\u8981\u786e\u4fddPandas\u5e93\u5df2\u5b89\u88c5\u5e76\u5bfc\u5165\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5047\u8bbe\u60a8\u6709\u4e00\u4e2aDataFrame\uff0c\u5176\u4e2d\u5305\u542b\u65e5\u671f\u548c\u76f8\u5e94\u7684\u6570\u636e\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528plot()<\/code>\u51fd\u6570\u76f4\u63a5\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u6307\u5b9ax<\/code>\u8f74\u4e3a\u65e5\u671f\u5217\uff1a<\/p>\n<\/p>\n
df = pd.DataFrame({'Date': pd.date_range(start='1\/1\/2023', periods=10),<\/p>\n
                   'Value': np.random.rand(10)})<\/p>\n
df.plot(x='Date', y='Value')<\/p>\n
<\/code><\/pre>\n<\/p>\n
Pandas\u4f1a\u81ea\u52a8\u5904\u7406\u65e5\u671f\u683c\u5f0f\u5e76\u8fdb\u884c\u5408\u7406\u7684\u6a2a\u5750\u6807\u663e\u793a\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528SEABORN\u5e93<\/p>\n<\/p>\n
Seaborn\u662f\u57fa\u4e8eMatplotlib\u7684\u9ad8\u7ea7\u7ed8\u56fe\u5e93\uff0c\u63d0\u4f9b\u4e86\u66f4\u4e3a\u7f8e\u89c2\u548c\u590d\u6742\u7684\u56fe\u5f62\u3002\u901a\u8fc7Seaborn\uff0c\u60a8\u53ef\u4ee5\u66f4\u8f7b\u677e\u5730\u8c03\u6574\u6a2a\u5750\u6807\u3002<\/p>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fddSeaborn\u5df2\u5b89\u88c5\u5e76\u5bfc\u5165\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
<\/code><\/pre>\n<\/p>\n
Seaborn\u63d0\u4f9b\u4e86\u591a\u4e2a\u7ed8\u56fe\u51fd\u6570\uff0c\u5982sns.lineplot()<\/code>\uff0c\u53ef\u4ee5\u76f4\u63a5\u7528\u4e8e\u7ed8\u5236\u56fe\u5f62\uff0c\u5e76\u81ea\u52a8\u5904\u7406\u6a2a\u5750\u6807\u3002<\/p>\n<\/p>\n
sns.lineplot(x='Date', y='Value', data=df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u751f\u6210\u66f4\u52a0\u7f8e\u89c2\u548c\u4e13\u4e1a\u7684\u56fe\u5f62\uff0c\u4f7f\u5f97\u6570\u636e\u7684\u5c55\u793a\u6548\u679c\u66f4\u4f73\u3002<\/p>\n<\/p>\n
\u516b\u3001\u7efc\u5408\u5e94\u7528\u5b9e\u4f8b<\/p>\n<\/p>\n
\u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3\u4e0a\u8ff0\u65b9\u6cd5\u7684\u5e94\u7528\uff0c\u4e0b\u9762\u63d0\u4f9b\u4e00\u4e2a\u7efc\u5408\u5b9e\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u8c03\u6574\u6a2a\u5750\u6807\u4ee5\u5b9e\u73b0\u6700\u4f73\u7684\u56fe\u5f62\u53ef\u89c6\u5316\u6548\u679c\u3002<\/p>\n<\/p>\n
\u5047\u8bbe\u60a8\u6709\u4e00\u7ec4\u65f6\u95f4\u5e8f\u5217\u6570\u636e\uff0c\u9700\u8981\u7ed8\u5236\u5e76\u8c03\u6574\u6a2a\u5750\u6807\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.dates as mdates<\/p>\n
import pandas as pd<\/p>\n
import numpy as np<\/p>\n
\u751f\u6210\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
dates = pd.date_range(start='2023-01-01', periods=100)<\/p>\n
values = np.random.rand(100)<\/p>\n
\u521b\u5efaDataFrame<\/strong><\/h2>\n
df = pd.DataFrame({'Date': dates, 'Value': values})<\/p>\n
\u7ed8\u5236\u56fe\u5f62<\/strong><\/h2>\n
plt.figure(figsize=(10, 6))<\/p>\n
plt.plot(df['Date'], df['Value'])<\/p>\n
\u8bbe\u7f6e\u65e5\u671f\u683c\u5f0f<\/strong><\/h2>\n
plt.gca().xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))<\/p>\n
\u65cb\u8f6c\u6807\u7b7e<\/strong><\/h2>\n
plt.xticks(rotation=45)<\/p>\n
\u8bbe\u7f6e\u5750\u6807\u8303\u56f4<\/strong><\/h2>\n
plt.xlim(df['Date'].min(), df['Date'].max())<\/p>\n
\u663e\u793a\u56fe\u5f62<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u5145\u5206\u5229\u7528Python\u7684\u5404\u79cd\u7ed8\u56fe\u5de5\u5177\u548c\u6280\u5de7\uff0c\u8fdb\u884c\u6a2a\u5750\u6807\u7684\u8c03\u6574\uff0c\u4ece\u800c\u5b9e\u73b0\u9ad8\u8d28\u91cf\u7684\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u81ea\u5b9a\u4e49\u6a2a\u5750\u6807\u7684\u6807\u7b7e\uff1f<\/strong>
\u5728Python\u7684\u7ed8\u56fe\u5e93\u4e2d\uff0c\u4f8b\u5982Matplotlib\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7plt.xticks()<\/code>\u51fd\u6570\u81ea\u5b9a\u4e49\u6a2a\u5750\u6807\u7684\u6807\u7b7e\u3002\u60a8\u53ef\u4ee5\u6307\u5b9a\u6807\u7b7e\u7684\u6587\u5b57\u3001\u4f4d\u7f6e\u4ee5\u53ca\u65cb\u8f6c\u89d2\u5ea6\uff0c\u8fd9\u6837\u53ef\u4ee5\u4f7f\u56fe\u8868\u66f4\u6613\u4e8e\u9605\u8bfb\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528plt.xticks(ticks=[0, 1, 2], labels=['A', 'B', 'C'], rotation=45)<\/code>\u6765\u8bbe\u7f6e\u6a2a\u5750\u6807\u7684\u523b\u5ea6\u548c\u5bf9\u5e94\u7684\u6807\u7b7e\u3002<\/p>\n
\u5982\u4f55\u6539\u53d8\u6a2a\u5750\u6807\u7684\u8303\u56f4\u6216\u523b\u5ea6\uff1f<\/strong>
\u53ef\u4ee5\u4f7f\u7528plt.xlim()<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u6a2a\u5750\u6807\u7684\u8303\u56f4\uff0c\u4f8b\u5982plt.xlim(0, 10)<\/code>\u5c06\u6a2a\u5750\u6807\u7684\u8303\u56f4\u8bbe\u7f6e\u4e3a0\u523010\u3002\u540c\u65f6\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7plt.xticks()<\/code>\u6765\u8bbe\u7f6e\u523b\u5ea6\u7684\u95f4\u9694\uff0c\u4f7f\u5f97\u6570\u636e\u5c55\u793a\u66f4\u52a0\u6e05\u6670\u3002\u901a\u8fc7\u5408\u7406\u8c03\u6574\u6a2a\u5750\u6807\u7684\u8303\u56f4\u548c\u523b\u5ea6\uff0c\u53ef\u4ee5\u63d0\u5347\u56fe\u8868\u7684\u53ef\u8bfb\u6027\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5b9e\u73b0\u6a2a\u5750\u6807\u7684\u65e5\u671f\u683c\u5f0f\u663e\u793a\uff1f<\/strong>
\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u7684\u65e5\u671f\u683c\u5f0f\u5316\u529f\u80fd\u3002\u901a\u8fc7mdates<\/code>\u6a21\u5757\uff0c\u60a8\u53ef\u4ee5\u5c06\u6a2a\u5750\u6807\u8bbe\u7f6e\u4e3a\u65e5\u671f\u683c\u5f0f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528mdates.DateFormatter('%Y-%m-%d')<\/code>\u6765\u683c\u5f0f\u5316\u65e5\u671f\uff0c\u5e76\u7ed3\u5408plt.gca().xaxis.set_major_formatter()<\/code>\u6765\u5e94\u7528\u8fd9\u4e2a\u683c\u5f0f\u5316\u89c4\u5219\u3002\u8fd9\u6837\u80fd\u4f7f\u65e5\u671f\u5728\u56fe\u8868\u4e0a\u4ee5\u6e05\u6670\u3001\u6613\u8bfb\u7684\u65b9\u5f0f\u663e\u793a\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u8c03\u6574\u6a2a\u5750\u6807\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528Matplotlib\u5e93\u3001\u8bbe\u7f6e\u523b\u5ea6\u6807\u7b7e\u3001\u65cb\u8f6c\u6807\u7b7e\u3001\u8c03\u6574\u5750\u6807\u8303\u56f4\u3002 \u8fd9 […]","protected":false},"author":3,"featured_media":968761,"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\/968758"}],"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=968758"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968758\/revisions"}],"predecessor-version":[{"id":968762,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/968758\/revisions\/968762"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/968761"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=968758"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=968758"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=968758"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}