![\"python\u5982\u4f55\u8bc6\u522bxsls\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25080234\/f7e757c3-72f6-45c4-8cd9-5175d715a5ac.webp\")
<\/p>\n<\/p>\n
\u5728Python\u4e2d\u8bc6\u522b\u548c\u5904\u7406XLSX\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u5e93\u7b49\u3002\u5176\u4e2d\uff0cpandas\u5e93\u662f\u6700\u5e38\u7528\u7684\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\u548c\u5199\u5165XLSX\u6587\u4ef6\uff0c\u8fd8\u80fd\u8f7b\u677e\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u6790\u548c\u64cd\u4f5c\u3002<\/strong><\/p>\n<\/p>\n \u5229\u7528pandas\u5e93\u8bfb\u53d6XLSX\u6587\u4ef6\u7684\u4e3b\u8981\u4f18\u52bf\u5728\u4e8e\u5176\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u80fd\u529b\u3002pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\uff0c\u4f7f\u5f97\u5728\u8bfb\u53d6\u540e\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u8f6c\u6362\u548c\u5206\u6790\u3002\u4f7f\u7528pandas\u8bfb\u53d6XLSX\u6587\u4ef6\u7684\u57fa\u672c\u65b9\u6cd5\u662f\u901a\u8fc7 pandas\u662fPython\u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u5f3a\u5927\u5de5\u5177\u3002\u5b83\u63d0\u4f9b\u4e86\u65b9\u4fbf\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\uff0c\u7279\u522b\u662f\u5bf9\u4e8e\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5982Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n \u5728\u4f7f\u7528pandas\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5176\u5df2\u7ecf\u5b89\u88c5\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528pandas\u8bfb\u53d6XLSX\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528 df = pd.read_excel("example.xlsx")<\/p>\n print(df.head())<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c \u5982\u679cExcel\u6587\u4ef6\u4e2d\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7 df = pd.read_excel("example.xlsx", sheet_name="Sheet2")<\/p>\n df = pd.read_excel("example.xlsx", usecols="A:C")<\/p>\n <\/code><\/pre>\n<\/p>\n openpyxl\u662f\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u7684\u4e00\u4e2a\u5e93\uff0c\u652f\u6301Excel 2010\u53ca\u66f4\u65b0\u7248\u672c\u7684XLSX\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n<\/p>\n \u5728\u4f7f\u7528openpyxl\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u5176\u5df2\u7ecf\u5b89\u88c5\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n openpyxl\u63d0\u4f9b\u4e86\u66f4\u5e95\u5c42\u7684\u64cd\u4f5c\uff0c\u53ef\u4ee5\u9010\u5355\u5143\u683c\u5730\u8bfb\u53d6\u548c\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n workbook = load_workbook(filename="example.xlsx")<\/p>\n sheet = workbook.active<\/p>\n for row in sheet.iter_rows(values_only=True):<\/p>\n print(row)<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7 openpyxl\u5141\u8bb8\u6211\u4eec\u8fdb\u884c\u66f4\u7ec6\u7c92\u5ea6\u7684\u64cd\u4f5c\uff0c\u5982\u4fee\u6539\u5355\u5143\u683c\u7684\u503c\u6216\u683c\u5f0f\u3002<\/p>\n<\/p>\n sheet["A1"] = "New Value"<\/p>\n workbook.save("example_modified.xlsx")<\/p>\n <\/code><\/pre>\n<\/p>\n xlrd\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5e93\uff0c\u4f46\u5b83\u53ea\u80fd\u8bfb\u53d6\u8f83\u65e7\u7248\u672c\u7684XLS\u6587\u4ef6\uff0c\u5bf9\u4e8eXLSX\u6587\u4ef6\uff0c\u63a8\u8350\u4f7f\u7528pandas\u6216openpyxl\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n workbook = xlrd.open_workbook("example.xls")<\/p>\n sheet = workbook.sheet_by_index(0)<\/p>\n for row_idx in range(sheet.nrows):<\/p>\n print(sheet.row(row_idx))<\/p>\n <\/code><\/pre>\n<\/p>\n \u5f53\u6211\u4eec\u6210\u529f\u8bfb\u53d6Excel\u6587\u4ef6\u540e\uff0c\u901a\u5e38\u9700\u8981\u5bf9\u6570\u636e\u8fdb\u884c\u5206\u6790\u548c\u64cd\u4f5c\u3002pandas\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u7528\u4e8e\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n \u6570\u636e\u6e05\u6d17\u662f\u6570\u636e\u5206\u6790\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u7684\u5404\u79cd\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\u3001\u91cd\u590d\u503c\u7b49\u3002<\/p>\n<\/p>\n df.dropna(inplace=True)<\/p>\n df.drop_duplicates(inplace=True)<\/p>\n <\/code><\/pre>\n<\/p>\n \u6570\u636e\u8f6c\u6362\u5305\u62ec\u66f4\u6539\u6570\u636e\u7c7b\u578b\u3001\u8ba1\u7b97\u65b0\u5217\u7b49\u3002<\/p>\n<\/p>\n df["column_name"] = df["column_name"].astype(float)<\/p>\n df["new_column"] = df["column1"] + df["column2"]<\/p>\n <\/code><\/pre>\n<\/p>\n pandas\u63d0\u4f9b\u4e86\u8bb8\u591a\u7edf\u8ba1\u548c\u5206\u6790\u529f\u80fd\uff0c\u5982\u63cf\u8ff0\u6027\u7edf\u8ba1\u3001\u5206\u7ec4\u7b49\u3002<\/p>\n<\/p>\n print(df.describe())<\/p>\n grouped = df.groupby("category_column").sum()<\/p>\n print(grouped)<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u5b8c\u6210\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u540e\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u7ed3\u679c\u53ef\u89c6\u5316\u3002pandas\u96c6\u6210\u4e86Matplotlib\u5e93\uff0c\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u53ef\u89c6\u5316\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n df["column_name"].plot(kind='bar')<\/p>\n plt.show()<\/p>\n df.plot(x='x_column', y='y_column', kind='line')<\/p>\n plt.show()<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u540e\uff0c\u6211\u4eec\u53ef\u80fd\u9700\u8981\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6\u4e2d\u3002pandas\u548copenpyxl\u90fd\u63d0\u4f9b\u4e86\u5199\u5165\u529f\u80fd\u3002<\/p>\n<\/p>\n df.to_excel("output.xlsx", index=False)<\/p>\n <\/code><\/pre>\n<\/p>\n openpyxl\u63d0\u4f9b\u4e86\u66f4\u7075\u6d3b\u7684\u5199\u5165\u65b9\u5f0f\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u66f4\u591a\u683c\u5f0f\u9009\u9879\u3002<\/p>\n<\/p>\n workbook = Workbook()<\/p>\n sheet = workbook.active<\/p>\n sheet["A1"] = "Header1"<\/p>\n sheet["A2"] = "Data1"<\/p>\n workbook.save("output.xlsx")<\/p>\n <\/code><\/pre>\n<\/p>\n \u5728Python\u4e2d\u5904\u7406XLSX\u6587\u4ef6\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\u3002pandas\u5e93\u56e0\u5176\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u80fd\u529b\u548c\u7b80\u5355\u6613\u7528\u7684\u63a5\u53e3\u800c\u5e7f\u53d7\u6b22\u8fce<\/strong>\uff0c\u9002\u5408\u5927\u90e8\u5206\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002\u800copenpyxl\u5219\u63d0\u4f9b\u4e86\u66f4\u5e95\u5c42\u548c\u7075\u6d3b\u7684Excel\u64cd\u4f5c\u63a5\u53e3\uff0c\u9002\u5408\u9700\u8981\u5904\u7406\u590d\u6742\u683c\u5f0f\u7684\u573a\u666f\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6570\u636e\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n \u5982\u4f55\u4f7f\u7528Python\u6253\u5f00\u548c\u8bfb\u53d6XLSX\u6587\u4ef6\uff1f<\/strong> \u5728Python\u4e2d\u5982\u4f55\u5904\u7406XLSX\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong> \u5982\u4f55\u5c06\u6570\u636e\u5199\u5165XLSX\u6587\u4ef6\uff1f<\/strong>pandas.read_excel()<\/code>\u51fd\u6570\u3002\u8fd9\u4e2a\u51fd\u6570\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u53c2\u6570\u6765\u9009\u62e9\u7279\u5b9a\u7684\u5217\u8fdb\u884c\u8bfb\u53d6\u3002\u6b64\u5916\uff0cpandas\u4e0e\u5176\u4ed6\u6570\u636e\u79d1\u5b66\u5e93\uff08\u5982NumPy\u3001Matplotlib\uff09\u65e0\u7f1d\u96c6\u6210\uff0c\u4f7f\u5f97\u5b83\u6210\u4e3a\u6570\u636e\u5206\u6790\u7684\u5229\u5668\u3002<\/p>\n<\/p>\n
\n\u4e00\u3001PANDAS\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n
1. \u5b89\u88c5pandas\u5e93<\/h4>\n<\/p>\n
pip install pandas<\/p>\n2. \u4f7f\u7528pandas\u8bfb\u53d6XLSX\u6587\u4ef6<\/h4>\n<\/p>\n
pandas.read_excel()<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\n\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
\u663e\u793a\u6570\u636e<\/strong><\/h2>\n
example.xlsx<\/code>\u662f\u6211\u4eec\u8981\u8bfb\u53d6\u7684Excel\u6587\u4ef6\u3002read_excel()<\/code>\u51fd\u6570\u9ed8\u8ba4\u8bfb\u53d6\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\uff0c\u5e76\u8fd4\u56de\u4e00\u4e2aDataFrame\u5bf9\u8c61\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n3. \u6307\u5b9a\u5de5\u4f5c\u8868\u548c\u5217<\/h4>\n<\/p>\n
sheet_name<\/code>\u53c2\u6570\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u3002\u6b64\u5916\uff0c\u901a\u8fc7usecols<\/code>\u53c2\u6570\u53ef\u4ee5\u9009\u62e9\u7279\u5b9a\u7684\u5217\u3002<\/p>\n<\/p>\n# \u8bfb\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868<\/p>\n\u8bfb\u53d6\u6307\u5b9a\u5217<\/strong><\/h2>\n
\u4e8c\u3001OPENPYXL\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n
1. \u5b89\u88c5openpyxl\u5e93<\/h4>\n<\/p>\n
pip install openpyxl<\/p>\n2. \u4f7f\u7528openpyxl\u8bfb\u53d6XLSX\u6587\u4ef6<\/h4>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
\u8bfb\u53d6\u5355\u5143\u683c<\/strong><\/h2>\n
load_workbook()<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u4e2aExcel\u6587\u4ef6\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7active<\/code>\u5c5e\u6027\u9009\u62e9\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002\u4f7f\u7528iter_rows()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c\u3002<\/p>\n<\/p>\n3. \u64cd\u4f5c\u5355\u5143\u683c<\/h4>\n<\/p>\n
# \u4fee\u6539\u5355\u5143\u683c<\/p>\n\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
\u4e09\u3001XLRD\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n
1. \u5b89\u88c5xlrd\u5e93<\/h4>\n<\/p>\n
pip install xlrd<\/p>\n2. \u4f7f\u7528xlrd\u8bfb\u53d6XLS\u6587\u4ef6<\/h4>\n<\/p>\n
import xlrd<\/p>\n\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
\u8bfb\u53d6\u5355\u5143\u683c<\/strong><\/h2>\n
\u56db\u3001\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c<\/h3>\n<\/p>\n
1. \u6570\u636e\u6e05\u6d17<\/h4>\n<\/p>\n
# \u5220\u9664\u7f3a\u5931\u503c<\/p>\n\u5220\u9664\u91cd\u590d\u503c<\/strong><\/h2>\n
2. \u6570\u636e\u8f6c\u6362<\/h4>\n<\/p>\n
# \u66f4\u6539\u6570\u636e\u7c7b\u578b<\/p>\n\u8ba1\u7b97\u65b0\u5217<\/strong><\/h2>\n
3. \u6570\u636e\u5206\u6790<\/h4>\n<\/p>\n
# \u63cf\u8ff0\u6027\u7edf\u8ba1<\/p>\n\u5206\u7ec4\u5206\u6790<\/strong><\/h2>\n
\u4e94\u3001\u6570\u636e\u53ef\u89c6\u5316<\/h3>\n<\/p>\n
1. \u5b89\u88c5Matplotlib\u5e93<\/h4>\n<\/p>\n
pip install matplotlib<\/p>\n2. \u4f7f\u7528Matplotlib\u8fdb\u884c\u53ef\u89c6\u5316<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n\u7ed8\u5236\u67f1\u72b6\u56fe<\/strong><\/h2>\n
\u7ed8\u5236\u6298\u7ebf\u56fe<\/strong><\/h2>\n
\u516d\u3001\u5199\u5165XLSX\u6587\u4ef6<\/h3>\n<\/p>\n
1. \u4f7f\u7528pandas\u5199\u5165<\/h4>\n<\/p>\n
# \u5199\u5165\u5230Excel\u6587\u4ef6<\/p>\n2. \u4f7f\u7528openpyxl\u5199\u5165<\/h4>\n<\/p>\n
from openpyxl import Workbook<\/p>\n\u521b\u5efa\u65b0\u7684\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
\u9009\u62e9\u6d3b\u52a8\u7684\u5de5\u4f5c\u8868<\/strong><\/h2>\n
\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
\u4fdd\u5b58\u6587\u4ef6<\/strong><\/h2>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u8981\u6253\u5f00\u548c\u8bfb\u53d6XLSX\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u5e93\u6216pandas<\/code>\u5e93\u3002\u9996\u5148\u786e\u4fdd\u5b89\u88c5\u4e86\u76f8\u5e94\u7684\u5e93\u3002\u4f7f\u7528openpyxl<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7load_workbook()<\/code>\u51fd\u6570\u52a0\u8f7d\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528active<\/code>\u5c5e\u6027\u83b7\u53d6\u5f53\u524d\u5de5\u4f5c\u8868\u3002pandas<\/code>\u7684read_excel()<\/code>\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\uff0c\u8fd9\u6837\u66f4\u5bb9\u6613\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c\u3002<\/p>\n
\u5904\u7406XLSX\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff0c\u901a\u5e38\u4f1a\u7528\u5230openpyxl<\/code>\u6216pandas<\/code>\u5e93\u3002\u5229\u7528openpyxl<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u5de5\u4f5c\u8868\u7684\u884c\u548c\u5217\uff0c\u63d0\u53d6\u6570\u636e\u5e76\u8fdb\u884c\u4fee\u6539\u3002\u4f7f\u7528pandas<\/code>\u5219\u53ef\u4ee5\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u6e05\u6d17\u3001\u7b5b\u9009\u548c\u8ba1\u7b97\uff0c\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u6570\u636e\u64cd\u4f5c\u51fd\u6570\uff0c\u5982groupby()<\/code>\u3001pivot_table()<\/code>\u7b49\uff0c\u6765\u5206\u6790\u548c\u5904\u7406\u6570\u636e\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528openpyxl<\/code>\u5e93\u5c06\u6570\u636e\u5199\u5165XLSX\u6587\u4ef6\u3002\u901a\u8fc7\u521b\u5efa\u4e00\u4e2a\u65b0\u7684\u5de5\u4f5c\u7c3f\u6216\u52a0\u8f7d\u5df2\u6709\u7684\u5de5\u4f5c\u7c3f\uff0c\u4f7f\u7528append()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u884c\u6570\u636e\u6dfb\u52a0\u5230\u5de5\u4f5c\u8868\u4e2d\u3002pandas<\/code>\u5e93\u4e5f\u63d0\u4f9b\u4e86to_excel()<\/code>\u65b9\u6cd5\uff0c\u53ef\u4ee5\u5c06DataFrame\u76f4\u63a5\u5199\u5165XLSX\u6587\u4ef6\uff0c\u652f\u6301\u81ea\u5b9a\u4e49\u5de5\u4f5c\u8868\u540d\u79f0\u548c\u6587\u4ef6\u8def\u5f84\u7b49\u9009\u9879\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bc6\u522b\u548c\u5904\u7406XLSX\u6587\u4ef6\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff1a\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u5e93\u7b49\u3002\u5176\u4e2d […]","protected":false},"author":3,"featured_media":942410,"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\/942409"}],"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=942409"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/942409\/revisions"}],"predecessor-version":[{"id":942411,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/942409\/revisions\/942411"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/942410"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=942409"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=942409"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=942409"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}