{"id":975177,"date":"2024-12-27T06:11:06","date_gmt":"2024-12-26T22:11:06","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/975177.html"},"modified":"2024-12-27T06:11:08","modified_gmt":"2024-12-26T22:11:08","slug":"python%e5%a6%82%e4%bd%95%e5%af%bc%e5%85%a5data%e6%96%87%e4%bb%b6","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/975177.html","title":{"rendered":"python\u5982\u4f55\u5bfc\u5165data\u6587\u4ef6"},"content":{"rendered":"

\"python\u5982\u4f55\u5bfc\u5165data\u6587\u4ef6\"<\/p>\n

\u5728Python\u4e2d\u5bfc\u5165\u6570\u636e\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u4e3b\u8981\u53d6\u51b3\u4e8e\u6570\u636e\u6587\u4ef6\u7684\u683c\u5f0f\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528open\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3001\u4f7f\u7528json\u5e93\u8bfb\u53d6JSON\u6587\u4ef6\u3002\u4f7f\u7528pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u662f\u6700\u4e3a\u666e\u904d\u7684\u65b9\u6cd5\uff0c\u5b83\u4e0d\u4ec5\u7b80\u5355\uff0c\u8fd8\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u64cd\u4f5c\u529f\u80fd\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n

Pandas\u662fPython\u4e2d\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5b83\u652f\u6301\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\u5bfc\u5165\u548c\u5bfc\u51fa<\/strong>\u3002\u4f7f\u7528pandas\u8bfb\u53d6CSV\u6587\u4ef6\u662f\u5904\u7406\u6570\u636e\u7684\u9996\u9009\u65b9\u6cd5\u4e4b\u4e00\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = pd.read_csv('file.csv')<\/p>\n
\u6253\u5370\u524d\u4e94\u884c<\/strong><\/h2>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4e0a\u8ff0\u4ee3\u7801\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002Pandas\u63d0\u4f9b\u4e86\u8bb8\u591a\u4fbf\u6377\u7684\u65b9\u6cd5\u6765\u5904\u7406\u548c\u5206\u6790\u6570\u636e\uff0c\u4f8b\u5982head()<\/code>\u7528\u4e8e\u67e5\u770b\u6570\u636e\u7684\u524d\u51e0\u884c\uff0cdescribe()<\/code>\u7528\u4e8e\u751f\u6210\u6570\u636e\u7684\u63cf\u8ff0\u7edf\u8ba1\u4fe1\u606f\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Open\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u7b80\u5355\u7684\u6587\u672c\u6587\u4ef6\uff0cPython\u5185\u7f6e\u7684open<\/code>\u51fd\u6570\u662f\u4e00\u4e2a\u975e\u5e38\u76f4\u63a5\u7684\u9009\u62e9\u3002\u5b83\u5141\u8bb8\u4f60\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u5bf9\u5176\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
# \u4f7f\u7528open\u51fd\u6570\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n
with open('file.txt', 'r') as file:<\/p>\n
    lines = file.readlines()<\/p>\n
\u6253\u5370\u524d\u4e94\u884c<\/strong><\/h2>\n
for line in lines[:5]:<\/p>\n
    print(line.strip())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0copen<\/code>\u51fd\u6570\u4ee5\u53ea\u8bfb\u6a21\u5f0f\u6253\u5f00\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528readlines()<\/code>\u5c06\u6240\u6709\u884c\u8bfb\u5165\u4e00\u4e2a\u5217\u8868\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5bf9\u6bcf\u4e00\u884c\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528JSON\u5e93\u8bfb\u53d6JSON\u6587\u4ef6<\/h3>\n<\/p>\n
JSON\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0cPython\u7684json<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u89e3\u6790\u548c\u751f\u6210JSON\u6570\u636e\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n
with open('file.json', 'r') as file:<\/p>\n
    data = json.load(file)<\/p>\n
\u6253\u5370\u8bfb\u53d6\u5230\u7684\u6570\u636e<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
json.load()<\/code>\u51fd\u6570\u7528\u4e8e\u5c06JSON\u683c\u5f0f\u7684\u6570\u636e\u8f6c\u6362\u4e3aPython\u7684\u6570\u636e\u7ed3\u6784\uff08\u5982\u5b57\u5178\u548c\u5217\u8868\uff09\uff0c\u8fd9\u4f7f\u5f97\u6570\u636e\u64cd\u4f5c\u53d8\u5f97\u975e\u5e38\u7b80\u5355\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Numpy\u8bfb\u53d6\u6570\u636e\u6587\u4ef6<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u6570\u503c\u6570\u636e\uff0c\u5c24\u5176\u662f\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u5927\u89c4\u6a21\u6570\u636e\uff0cNumpy\u5e93\u662f\u975e\u5e38\u6709\u7528\u7684\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u64cd\u4f5c\u548c\u591a\u79cd\u8bfb\u53d6\u6587\u4ef6\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u4e2d\u7684\u6570\u503c\u6570\u636e<\/strong><\/h2>\n
data = np.loadtxt('file.txt')<\/p>\n
\u6253\u5370\u524d\u4e94\u884c<\/strong><\/h2>\n
print(data[:5])<\/p>\n
<\/code><\/pre>\n<\/p>\n
Numpy\u7684loadtxt()<\/code>\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u4e2d\u7684\u6570\u503c\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2aNumpy\u6570\u7ec4\u4e2d\uff0c\u8fd9\u5bf9\u4e8e\u5927\u89c4\u6a21\u6570\u503c\u8ba1\u7b97\u975e\u5e38\u9ad8\u6548\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528SQLAlchemy\u8bfb\u53d6\u6570\u636e\u5e93\u6587\u4ef6<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u7684\u6570\u636e\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528SQLAlchemy\u5e93\u6765\u8fde\u63a5\u548c\u8bfb\u53d6\u6570\u636e\u3002SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684SQL\u5de5\u5177\u5305\u548c\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\u5668\uff08ORM\uff09\u3002<\/p>\n<\/p>\n
from sqlalchemy import create_engine<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
engine = create_engine('sqlite:\/\/\/file.db')<\/p>\n
\u8bfb\u53d6\u6570\u636e\u8868<\/strong><\/h2>\n
data = pd.read_sql('SELECT * FROM table_name', engine)<\/p>\n
\u6253\u5370\u524d\u4e94\u884c<\/strong><\/h2>\n
print(data.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7SQLAlchemy\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u8fde\u63a5\u5230\u5404\u79cd\u6570\u636e\u5e93\uff0c\u5e76\u4f7f\u7528SQL\u67e5\u8be2\u6570\u636e\u3002\u7ed3\u5408Pandas\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u5c06\u6570\u636e\u5e93\u67e5\u8be2\u7ed3\u679c\u8f6c\u6362\u4e3aDataFrame\u8fdb\u884c\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528HDF5\u8bfb\u53d6\u5927\u89c4\u6a21\u6570\u636e\u6587\u4ef6<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u9700\u8981\u5904\u7406\u7684\u5927\u89c4\u6a21\u6570\u636e\u96c6\uff0cHDF5\u683c\u5f0f\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u9009\u62e9\u3002Python\u7684h5py<\/code>\u5e93\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u5199\u5165HDF5\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import h5py<\/p>\n
\u8bfb\u53d6HDF5\u6587\u4ef6<\/strong><\/h2>\n
with h5py.File('file.h5', 'r') as file:<\/p>\n
    data = file['dataset_name'][:]<\/p>\n
\u6253\u5370\u524d\u4e94\u884c<\/strong><\/h2>\n
print(data[:5])<\/p>\n
<\/code><\/pre>\n<\/p>\n
HDF5\u6587\u4ef6\u683c\u5f0f\u652f\u6301\u5b58\u50a8\u548c\u7ec4\u7ec7\u5927\u91cf\u6570\u636e\uff0c\u7279\u522b\u9002\u5408\u4e8e\u9700\u8981\u5904\u7406\u548c\u5b58\u50a8\u5927\u91cf\u79d1\u5b66\u6570\u636e\u7684\u5e94\u7528\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528scipy.io\u8bfb\u53d6Matlab\u6587\u4ef6<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u7684\u6570\u636e\u6587\u4ef6\u6765\u81eaMatlab\uff0cPython\u7684scipy.io<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u53d6Matlab\u6587\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
from scipy.io import loadmat<\/p>\n
\u8bfb\u53d6Matlab\u6587\u4ef6<\/strong><\/h2>\n
data = loadmat('file.mat')<\/p>\n
\u6253\u5370\u8bfb\u53d6\u5230\u7684\u6570\u636e<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
loadmat()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06Matlab\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u8f6c\u6362\u4e3aPython\u7684\u6570\u636e\u7ed3\u6784\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n<\/p>\n
\u516b\u3001\u4f7f\u7528XML\u5e93\u8bfb\u53d6XML\u6587\u4ef6<\/h3>\n<\/p>\n
XML\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0cPython\u7684xml.etree.ElementTree<\/code>\u6a21\u5757\u53ef\u4ee5\u7528\u6765\u89e3\u6790XML\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import xml.etree.ElementTree as ET<\/p>\n
\u89e3\u6790XML\u6587\u4ef6<\/strong><\/h2>\n
tree = ET.parse('file.xml')<\/p>\n
root = tree.getroot()<\/p>\n
\u6253\u5370\u6839\u5143\u7d20\u7684\u6807\u7b7e<\/strong><\/h2>\n
print(root.tag)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u89e3\u6790XML\u6587\u4ef6\uff0c\u60a8\u53ef\u4ee5\u904d\u5386\u6574\u4e2a\u6587\u6863\u6811\u5e76\u63d0\u53d6\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u4f7f\u7528BeautifulSoup\u89e3\u6790HTML\u6587\u4ef6<\/h3>\n<\/p>\n
\u5f53\u9700\u8981\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u6570\u636e\u65f6\uff0cBeautifulSoup<\/code>\u662f\u4e00\u4e2a\u975e\u5e38\u6709\u7528\u7684\u5de5\u5177\u3002\u5b83\u53ef\u4ee5\u89e3\u6790HTML\u6587\u6863\u5e76\u4ece\u4e2d\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
from bs4 import BeautifulSoup<\/p>\n
\u89e3\u6790HTML\u6587\u4ef6<\/strong><\/h2>\n
with open('file.html', 'r') as file:<\/p>\n
    soup = BeautifulSoup(file, 'html.parser')<\/p>\n
\u6253\u5370\u6807\u9898<\/strong><\/h2>\n
print(soup.title.string)<\/p>\n
<\/code><\/pre>\n<\/p>\n
BeautifulSoup<\/code>\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5bfc\u822a\u548c\u641c\u7d22\u6587\u6863\u6811\uff0c\u4f7f\u5f97\u7f51\u9875\u6570\u636e\u7684\u63d0\u53d6\u53d8\u5f97\u975e\u5e38\u65b9\u4fbf\u3002<\/p>\n<\/p>\n
\u5341\u3001\u4f7f\u7528Pickle\u8bfb\u53d6\u5e8f\u5217\u5316\u6587\u4ef6<\/h3>\n<\/p>\n
Python\u7684pickle<\/code>\u6a21\u5757\u53ef\u4ee5\u7528\u4e8e\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316Python\u5bf9\u8c61\u3002\u5bf9\u4e8e\u9700\u8981\u6301\u4e45\u5316\u5b58\u50a8\u590d\u6742\u6570\u636e\u7ed3\u6784\u7684\u60c5\u51b5\u975e\u5e38\u6709\u7528\u3002<\/p>\n<\/p>\n
import pickle<\/p>\n
\u8bfb\u53d6Pickle\u6587\u4ef6<\/strong><\/h2>\n
with open('file.pkl', 'rb') as file:<\/p>\n
    data = pickle.load(file)<\/p>\n
\u6253\u5370\u8bfb\u53d6\u5230\u7684\u6570\u636e<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
pickle.load()<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u4e8c\u8fdb\u5236\u683c\u5f0f\u7684Pickle\u6587\u4ef6\u53cd\u5e8f\u5217\u5316\u4e3aPython\u5bf9\u8c61\uff0c\u65b9\u4fbf\u540e\u7eed\u4f7f\u7528\u3002<\/p>\n<\/p>\n
\u603b\u7ed3\uff1a\u5728Python\u4e2d\u5bfc\u5165\u6570\u636e\u6587\u4ef6\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u6587\u4ef6\u7684\u683c\u5f0f\u548c\u6570\u636e\u5904\u7406\u7684\u5177\u4f53\u9700\u6c42\u3002\u65e0\u8bba\u662f\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u3001\u6570\u503c\u6570\u636e\uff0c\u8fd8\u662f\u4ece\u6570\u636e\u5e93\u6216\u7f51\u9875\u4e2d\u63d0\u53d6\u6570\u636e\uff0cPython\u90fd\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\u548c\u5e93\u6765\u7b80\u5316\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u5e93\u6765\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002\u5bf9\u4e8eCSV\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u4e2d\u7684read_csv()<\/code>\u51fd\u6570\uff0c\u9002\u7528\u4e8eExcel\u6587\u4ef6\u7684\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u7684read_excel()<\/code>\u51fd\u6570\uff0c\u800c\u5bf9\u4e8e\u6587\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u6216pandas<\/code>\u7684read_table()<\/code>\u51fd\u6570\u3002\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u51fd\u6570\u53ef\u4ee5\u4f7f\u6570\u636e\u8bfb\u53d6\u66f4\u52a0\u9ad8\u6548\u3002<\/p>\n
\u5728\u5bfc\u5165\u6570\u636e\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7f3a\u5931\u503c\uff1f<\/strong>
\u5904\u7406\u7f3a\u5931\u503c\u662f\u6570\u636e\u5206\u6790\u7684\u91cd\u8981\u73af\u8282\u3002\u4f7f\u7528pandas<\/code>\u5e93\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528dropna()<\/code>\u65b9\u6cd5\u76f4\u63a5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\uff0c\u6216\u8005\u4f7f\u7528fillna()<\/code>\u65b9\u6cd5\u7528\u7279\u5b9a\u503c\u586b\u5145\u7f3a\u5931\u9879\uff0c\u5982\u5747\u503c\u3001\u4e2d\u4f4d\u6570\u6216\u5176\u4ed6\u503c\u3002\u8fd9\u4e24\u79cd\u65b9\u6cd5\u6709\u52a9\u4e8e\u4fdd\u6301\u6570\u636e\u7684\u5b8c\u6574\u6027\u548c\u51c6\u786e\u6027\u3002<\/p>\n
\u5982\u4f55\u4f18\u5316Python\u8bfb\u53d6\u5927\u578b\u6570\u636e\u6587\u4ef6\u7684\u901f\u5ea6\uff1f<\/strong>
\u8bfb\u53d6\u5927\u578b\u6570\u636e\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u91c7\u53d6\u591a\u79cd\u4f18\u5316\u63aa\u65bd\u3002\u4f7f\u7528pandas<\/code>\u5e93\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9adtype<\/code>\u53c2\u6570\u6765\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\uff0c\u6216\u901a\u8fc7chunksize<\/code>\u53c2\u6570\u5206\u5757\u8bfb\u53d6\u6570\u636e\u3002\u6b64\u5916\uff0c\u4f7f\u7528read_csv()<\/code>\u65f6\u8bbe\u7f6eusecols<\/code>\u53c2\u6570\u53ef\u4ee5\u4ec5\u8bfb\u53d6\u9700\u8981\u7684\u5217\uff0c\u4ece\u800c\u52a0\u5feb\u8bfb\u53d6\u901f\u5ea6\u3002\u8fd9\u4e9b\u6280\u5de7\u6709\u52a9\u4e8e\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5bfc\u5165\u6570\u636e\u6587\u4ef6\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\uff0c\u4e3b\u8981\u53d6\u51b3\u4e8e\u6570\u636e\u6587\u4ef6\u7684\u683c\u5f0f\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pandas\u5e93\u8bfb […]","protected":false},"author":3,"featured_media":975184,"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\/975177"}],"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=975177"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975177\/revisions"}],"predecessor-version":[{"id":975187,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/975177\/revisions\/975187"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/975184"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=975177"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=975177"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=975177"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}