{"id":1162769,"date":"2025-01-15T14:47:23","date_gmt":"2025-01-15T06:47:23","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1162769.html"},"modified":"2025-01-15T14:47:26","modified_gmt":"2025-01-15T06:47:26","slug":"python%e5%a6%82%e4%bd%95%e8%ae%be%e7%bd%ae%e5%9b%be%e5%bd%a2%e7%9a%84%e4%bd%8d%e7%bd%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1162769.html","title":{"rendered":"Python\u5982\u4f55\u8bbe\u7f6e\u56fe\u5f62\u7684\u4f4d\u7f6e"},"content":{"rendered":"

\"Python\u5982\u4f55\u8bbe\u7f6e\u56fe\u5f62\u7684\u4f4d\u7f6e\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u4f4d\u7f6e\u3002\u4f7f\u7528Matplotlib\u5e93\u7684subplot2grid<\/code>\u51fd\u6570\u3001\u4f7f\u7528Matplotlib\u5e93\u7684gridspec<\/code>\u6a21\u5757\u3001\u4f7f\u7528Matplotlib\u5e93\u7684plt.subplots<\/code>\u51fd\u6570\u3001\u4f7f\u7528Seaborn\u5e93\u4e2d\u7684FacetGrid<\/code>\u7c7b<\/strong>\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u53ef\u4ee5\u5e2e\u52a9\u4f60\u7075\u6d3b\u5730\u63a7\u5236\u56fe\u5f62\u5728\u753b\u5e03\u4e2d\u7684\u5e03\u5c40\u3002\u4e0b\u9762\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\uff1a\u4f7f\u7528Matplotlib\u5e93\u7684subplot2grid<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n

\u4f7f\u7528Matplotlib\u5e93\u7684subplot2grid<\/code>\u51fd\u6570<\/h3>\n<\/p>\n

subplot2grid<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5728\u4e00\u4e2a\u7f51\u683c\u5e03\u5c40\u4e2d\u7cbe\u786e\u5730\u6307\u5b9a\u56fe\u5f62\u7684\u4f4d\u7f6e\u548c\u5927\u5c0f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u4f7f\u7528subplot2grid<\/code>\u51fd\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u4f4d\u7f6e\uff1a<\/p>\n<\/p>\n

import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u4e00\u4e2a3x3\u7684\u7f51\u683c\u5e03\u5c40<\/strong><\/h2>\n
fig = plt.figure(figsize=(10, 6))<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c1\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c2\u5217<\/strong><\/h2>\n
ax1 = plt.subplot2grid((3, 3), (0, 0), colspan=2)<\/p>\n
ax1.set_title('Subplot 1')<\/p>\n
ax1.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c1\u884c\u7b2c3\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e2\u884c1\u5217<\/strong><\/h2>\n
ax2 = plt.subplot2grid((3, 3), (0, 2), rowspan=2)<\/p>\n
ax2.set_title('Subplot 2')<\/p>\n
ax2.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c2\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c2\u5217<\/strong><\/h2>\n
ax3 = plt.subplot2grid((3, 3), (1, 0), colspan=2)<\/p>\n
ax3.set_title('Subplot 3')<\/p>\n
ax3.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax4 = plt.subplot2grid((3, 3), (2, 0))<\/p>\n
ax4.set_title('Subplot 4')<\/p>\n
ax4.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c2\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax5 = plt.subplot2grid((3, 3), (2, 1))<\/p>\n
ax5.set_title('Subplot 5')<\/p>\n
ax5.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c3\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax6 = plt.subplot2grid((3, 3), (2, 2))<\/p>\n
ax6.set_title('Subplot 6')<\/p>\n
ax6.plot([1, 2, 3], [1, 4, 9])<\/p>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a3×3\u7684\u7f51\u683c\u5e03\u5c40\uff0c\u5e76\u4f7f\u7528subplot2grid<\/code>\u51fd\u6570\u5728\u4e0d\u540c\u7684\u7f51\u683c\u4f4d\u7f6e\u521b\u5efa\u4e86\u591a\u4e2a\u5b50\u56fe\u3002subplot2grid<\/code>\u51fd\u6570\u7684\u7b2c\u4e00\u4e2a\u53c2\u6570\u662f\u7f51\u683c\u7684\u5f62\u72b6\uff08\u884c\u6570\u548c\u5217\u6570\uff09\uff0c\u7b2c\u4e8c\u4e2a\u53c2\u6570\u662f\u5b50\u56fe\u7684\u4f4d\u7f6e\uff08\u884c\u7d22\u5f15\u548c\u5217\u7d22\u5f15\uff09\uff0ccolspan<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u5b50\u56fe\u8de8\u8d8a\u7684\u5217\u6570\uff0crowspan<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u5b50\u56fe\u8de8\u8d8a\u7684\u884c\u6570\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Matplotlib\u5e93\u7684gridspec<\/code>\u6a21\u5757<\/h3>\n<\/p>\n
gridspec<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u66f4\u7075\u6d3b\u7684\u7f51\u683c\u5e03\u5c40\u65b9\u5f0f\uff0c\u5141\u8bb8\u4f60\u66f4\u81ea\u7531\u5730\u63a7\u5236\u5b50\u56fe\u7684\u4f4d\u7f6e\u548c\u5927\u5c0f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u4f7f\u7528gridspec<\/code>\u6a21\u5757\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.gridspec as gridspec<\/p>\n
\u521b\u5efa\u4e00\u4e2a3x3\u7684\u7f51\u683c\u5e03\u5c40<\/strong><\/h2>\n
fig = plt.figure(figsize=(10, 6))<\/p>\n
gs = gridspec.GridSpec(3, 3)<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c1\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c2\u5217<\/strong><\/h2>\n
ax1 = fig.add_subplot(gs[0, 0:2])<\/p>\n
ax1.set_title('Subplot 1')<\/p>\n
ax1.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c1\u884c\u7b2c3\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e2\u884c1\u5217<\/strong><\/h2>\n
ax2 = fig.add_subplot(gs[0:2, 2])<\/p>\n
ax2.set_title('Subplot 2')<\/p>\n
ax2.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c2\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c2\u5217<\/strong><\/h2>\n
ax3 = fig.add_subplot(gs[1, 0:2])<\/p>\n
ax3.set_title('Subplot 3')<\/p>\n
ax3.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c1\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax4 = fig.add_subplot(gs[2, 0])<\/p>\n
ax4.set_title('Subplot 4')<\/p>\n
ax4.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c2\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax5 = fig.add_subplot(gs[2, 1])<\/p>\n
ax5.set_title('Subplot 5')<\/p>\n
ax5.plot([1, 2, 3], [1, 4, 9])<\/p>\n
\u5728\u7f51\u683c\u5e03\u5c40\u7684\u7b2c3\u884c\u7b2c3\u5217\u521b\u5efa\u4e00\u4e2a\u5b50\u56fe\uff0c\u5360\u636e1\u884c1\u5217<\/strong><\/h2>\n
ax6 = fig.add_subplot(gs[2, 2])<\/p>\n
ax6.set_title('Subplot 6')<\/p>\n
ax6.plot([1, 2, 3], [1, 4, 9])<\/p>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528gridspec<\/code>\u6a21\u5757\u521b\u5efa\u4e86\u4e00\u4e2a3×3\u7684\u7f51\u683c\u5e03\u5c40\u3002gridspec.GridSpec<\/code>\u7c7b\u7684\u5b9e\u4f8bgs<\/code>\u8868\u793a\u7f51\u683c\u5e03\u5c40\uff0c\u6211\u4eec\u901a\u8fc7\u5207\u7247\u64cd\u4f5c\u6765\u6307\u5b9a\u5b50\u56fe\u7684\u4f4d\u7f6e\u548c\u5927\u5c0f\u3002fig.add_subplot<\/code>\u65b9\u6cd5\u7528\u4e8e\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u5b50\u56fe\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Matplotlib\u5e93\u7684plt.subplots<\/code>\u51fd\u6570<\/h3>\n<\/p>\n
plt.subplots<\/code>\u51fd\u6570\u662f\u521b\u5efa\u56fe\u5f62\u5e03\u5c40\u7684\u53e6\u4e00\u79cd\u65b9\u4fbf\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4e00\u6b21\u6027\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6240\u6709\u5b50\u56fe\u7684\u6570\u7ec4\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u521b\u5efa\u4e00\u4e2a3x3\u7684\u7f51\u683c\u5e03\u5c40<\/strong><\/h2>\n
fig, axs = plt.subplots(3, 3, figsize=(10, 6))<\/p>\n
\u8bbe\u7f6e\u6bcf\u4e2a\u5b50\u56fe\u7684\u5185\u5bb9<\/strong><\/h2>\n
for i in range(3):<\/p>\n
    for j in range(3):<\/p>\n
        axs[i, j].plot([1, 2, 3], [1, 4, 9])<\/p>\n
        axs[i, j].set_title(f'Subplot {i*3 + j + 1}')<\/p>\n
plt.tight_layout()<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cplt.subplots<\/code>\u51fd\u6570\u521b\u5efa\u4e86\u4e00\u4e2a3×3\u7684\u7f51\u683c\u5e03\u5c40\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2a\u5305\u542b\u6240\u6709\u5b50\u56fe\u7684\u6570\u7ec4axs<\/code>\u3002\u6211\u4eec\u4f7f\u7528\u5d4c\u5957\u7684for<\/code>\u5faa\u73af\u6765\u904d\u5386\u6bcf\u4e2a\u5b50\u56fe\uff0c\u5e76\u8bbe\u7f6e\u5176\u5185\u5bb9\u548c\u6807\u9898\u3002<\/p>\n<\/p>\n
\u4f7f\u7528Seaborn\u5e93\u4e2d\u7684FacetGrid<\/code>\u7c7b<\/h3>\n<\/p>\n
Seaborn\u5e93\u4e2d\u7684FacetGrid<\/code>\u7c7b\u63d0\u4f9b\u4e86\u4e00\u79cd\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u521b\u5efa\u57fa\u4e8e\u6761\u4ef6\u53d8\u91cf\u7684\u5b50\u56fe\u5e03\u5c40\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import seaborn as sns<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u52a0\u8f7d\u793a\u4f8b\u6570\u636e\u96c6<\/strong><\/h2>\n
tips = sns.load_dataset('tips')<\/p>\n
\u4f7f\u7528FacetGrid\u7c7b\u521b\u5efa\u5b50\u56fe\u5e03\u5c40<\/strong><\/h2>\n
g = sns.FacetGrid(tips, col='time', row='sex')<\/p>\n
g.map(plt.scatter, 'total_bill', 'tip')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u52a0\u8f7d\u4e86\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u96c6tips<\/code>\uff0c\u5e76\u4f7f\u7528FacetGrid<\/code>\u7c7b\u521b\u5efa\u4e86\u4e00\u4e2a\u57fa\u4e8etime<\/code>\u548csex<\/code>\u53d8\u91cf\u7684\u5b50\u56fe\u5e03\u5c40\u3002g.map<\/code>\u65b9\u6cd5\u7528\u4e8e\u5728\u6bcf\u4e2a\u5b50\u56fe\u4e2d\u7ed8\u5236\u6563\u70b9\u56fe\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/h3>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u7075\u6d3b\u5730\u63a7\u5236Python\u4e2d\u56fe\u5f62\u7684\u4f4d\u7f6e\u548c\u5e03\u5c40\u3002\u4f7f\u7528Matplotlib\u5e93\u7684subplot2grid<\/code>\u51fd\u6570\u3001\u4f7f\u7528Matplotlib\u5e93\u7684gridspec<\/code>\u6a21\u5757\u3001\u4f7f\u7528Matplotlib\u5e93\u7684plt.subplots<\/code>\u51fd\u6570\u3001\u4f7f\u7528Seaborn\u5e93\u4e2d\u7684FacetGrid<\/code>\u7c7b<\/strong>\uff0c\u8fd9\u4e9b\u65b9\u6cd5\u90fd\u53ef\u4ee5\u5e2e\u52a9\u4f60\u521b\u5efa\u590d\u6742\u800c\u7f8e\u89c2\u7684\u56fe\u5f62\u5e03\u5c40\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u53ef\u89c6\u5316\u7684\u6548\u679c\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u6307\u5b9a\u56fe\u5f62\u7684\u786e\u5207\u4f4d\u7f6e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u56fe\u5f62\u5e76\u8bbe\u7f6e\u5176\u4f4d\u7f6e\u3002\u60a8\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u7a97\u53e3\u7684\u5750\u6807\u6765\u63a7\u5236\u5176\u5728\u5c4f\u5e55\u4e0a\u7684\u4f4d\u7f6e\u3002\u5177\u4f53\u6765\u8bf4\uff0c\u53ef\u4ee5\u4f7f\u7528plt.get_current_fig_manager().window.setGeometry(x, y, width, height)<\/code>\u6765\u8bbe\u7f6e\u56fe\u5f62\u7a97\u53e3\u7684\u5de6\u4e0a\u89d2\u5750\u6807\uff08x\uff0cy\uff09\u4ee5\u53ca\u7a97\u53e3\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u5982\u4f55\u8c03\u6574\u56fe\u5f62\u7684\u5927\u5c0f\uff1f<\/strong>
\u8c03\u6574\u56fe\u5f62\u5927\u5c0f\u662f\u901a\u8fc7\u8bbe\u7f6e\u56fe\u5f62\u7684figsize\u53c2\u6570\u5b9e\u73b0\u7684\u3002\u4f8b\u5982\uff0c\u5728\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528plt.figure(figsize=(width, height))<\/code>\u6765\u5b9a\u4e49\u56fe\u5f62\u7684\u5927\u5c0f\u3002\u8fd9\u91cc\u7684width\u548cheight\u4ee5\u82f1\u5bf8\u4e3a\u5355\u4f4d\uff0c\u786e\u4fdd\u56fe\u5f62\u5728\u89c6\u89c9\u4e0a\u6e05\u6670\u53ef\u89c1\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u5c06\u591a\u4e2a\u56fe\u5f62\u653e\u7f6e\u5728\u540c\u4e00\u7a97\u53e3\u4e2d\uff1f<\/strong>
\u662f\u7684\uff0c\u60a8\u53ef\u4ee5\u5728\u540c\u4e00\u7a97\u53e3\u4e2d\u653e\u7f6e\u591a\u4e2a\u56fe\u5f62\uff0c\u65b9\u6cd5\u662f\u4f7f\u7528subplot<\/code>\u51fd\u6570\u3002\u901a\u8fc7\u8bbe\u7f6e\u884c\u548c\u5217\u7684\u53c2\u6570\uff0c\u60a8\u53ef\u4ee5\u5728\u4e00\u4e2a\u7a97\u53e3\u4e2d\u521b\u5efa\u591a\u4e2a\u5b50\u56fe\u3002\u4f8b\u5982\uff0c\u4f7f\u7528plt.subplot(nrows, ncols, index)<\/code>\u53ef\u4ee5\u5728nrows\u884cncols\u5217\u7684\u5e03\u5c40\u4e2d\u6307\u5b9a\u5b50\u56fe\u7684\u4f4d\u7f6e\u3002\u8fd9\u6837\u53ef\u4ee5\u65b9\u4fbf\u5730\u5bf9\u6bd4\u4e0d\u540c\u7684\u6570\u636e\u6216\u56fe\u5f62\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684\u4f4d\u7f6e\u3002\u4f7f\u7528Matplotlib\u5e93\u7684subplot2grid\u51fd\u6570\u3001 […]","protected":false},"author":3,"featured_media":1162777,"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\/1162769"}],"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=1162769"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1162769\/revisions"}],"predecessor-version":[{"id":1162778,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1162769\/revisions\/1162778"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1162777"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1162769"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1162769"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1162769"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}