{"id":1180733,"date":"2025-01-15T18:42:16","date_gmt":"2025-01-15T10:42:16","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1180733.html"},"modified":"2025-01-15T18:42:22","modified_gmt":"2025-01-15T10:42:22","slug":"%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98%e6%95%b0%e6%8d%ae%e6%96%87%e4%bb%b6python","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1180733.html","title":{"rendered":"\u5982\u4f55\u4fdd\u5b58\u6570\u636e\u6587\u4ef6Python"},"content":{"rendered":"

\"\u5982\u4f55\u4fdd\u5b58\u6570\u636e\u6587\u4ef6Python\"<\/p>\n

\u4f7f\u7528Python\u4fdd\u5b58\u6570\u636e\u6587\u4ef6\u7684\u65b9\u5f0f\u6709\u5f88\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u3001\u4e8c\u8fdb\u5236\u6587\u4ef6\u3001\u6570\u636e\u5e93\u7b49\u3002\u9009\u62e9\u54ea\u79cd\u65b9\u5f0f\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u7c7b\u578b\u548c\u7528\u9014\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\u662f\u6700\u57fa\u672c\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4fdd\u5b58\u6587\u672c\u548c\u4e8c\u8fdb\u5236\u6570\u636e\uff1b\u4f7f\u7528CSV\u6587\u4ef6\u53ef\u4ee5\u65b9\u4fbf\u5730\u4fdd\u5b58\u548c\u8bfb\u53d6\u8868\u683c\u6570\u636e\uff1b\u4f7f\u7528JSON\u6587\u4ef6\u53ef\u4ee5\u4fdd\u5b58\u548c\u8bfb\u53d6\u7ed3\u6784\u5316\u6570\u636e\uff1b\u4f7f\u7528\u6570\u636e\u5e93\u53ef\u4ee5\u4fdd\u5b58\u5927\u91cf\u6570\u636e\u5e76\u8fdb\u884c\u590d\u6742\u67e5\u8be2\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u4fdd\u5b58\u6570\u636e\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u6587\u4ef6I\/O\u64cd\u4f5c<\/h3>\n<\/p>\n

1\u3001\u6587\u672c\u6587\u4ef6<\/h4>\n<\/p>\n

\u6587\u672c\u6587\u4ef6\u662f\u6700\u7b80\u5355\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u53ef\u4ee5\u7528\u6765\u4fdd\u5b58\u4efb\u4f55\u6587\u672c\u6570\u636e\u3002Python\u63d0\u4f9b\u4e86\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u6765\u8fdb\u884c\u6587\u4ef6\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

# \u5199\u5165\u6587\u672c\u6587\u4ef6<\/p>\n
with open('example.txt', 'w') as file:<\/p>\n
    file.write('Hello, world!\\n')<\/p>\n
    file.write('This is a text file.\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u4f7f\u7528open()<\/code>\u51fd\u6570\u4ee5\u5199\u5165\u6a21\u5f0f('w'<\/code>)\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528write()<\/code>\u65b9\u6cd5\u5c06\u6587\u672c\u5199\u5165\u6587\u4ef6\u3002\u4f7f\u7528with<\/code>\u8bed\u53e5\u53ef\u4ee5\u786e\u4fdd\u6587\u4ef6\u5728\u64cd\u4f5c\u7ed3\u675f\u540e\u81ea\u52a8\u5173\u95ed\u3002<\/p>\n<\/p>\n
# \u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n
with open('example.txt', 'r') as file:<\/p>\n
    content = file.read()<\/p>\n
    print(content)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u4ee5\u8bfb\u53d6\u6a21\u5f0f('r'<\/code>)\u6253\u5f00\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528read()<\/code>\u65b9\u6cd5\u8bfb\u53d6\u6574\u4e2a\u6587\u4ef6\u5185\u5bb9\u3002<\/p>\n<\/p>\n
2\u3001\u4e8c\u8fdb\u5236\u6587\u4ef6<\/h4>\n<\/p>\n
\u4e8c\u8fdb\u5236\u6587\u4ef6\u7528\u4e8e\u4fdd\u5b58\u4e8c\u8fdb\u5236\u6570\u636e\uff0c\u5982\u56fe\u7247\u3001\u97f3\u9891\u3001\u89c6\u9891\u7b49\u3002\u53ef\u4ee5\u4f7f\u7528'wb'<\/code>\u6a21\u5f0f\u5199\u5165\u548c'rb'<\/code>\u6a21\u5f0f\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
# \u5199\u5165\u4e8c\u8fdb\u5236\u6587\u4ef6<\/p>\n
with open('example.bin', 'wb') as file:<\/p>\n
    file.write(b'\\x00\\x01\\x02\\x03\\x04')<\/p>\n
\u8bfb\u53d6\u4e8c\u8fdb\u5236\u6587\u4ef6<\/strong><\/h2>\n
with open('example.bin', 'rb') as file:<\/p>\n
    content = file.read()<\/p>\n
    print(content)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001CSV\u6587\u4ef6<\/h3>\n<\/p>\n
CSV\uff08Comma Separated Values\uff09\u6587\u4ef6\u662f\u4e00\u79cd\u5e38\u7528\u7684\u8868\u683c\u6570\u636e\u683c\u5f0f\uff0c\u6bcf\u884c\u8868\u793a\u4e00\u6761\u8bb0\u5f55\uff0c\u5b57\u6bb5\u4e4b\u95f4\u7528\u9017\u53f7\u5206\u9694\u3002Python\u7684csv<\/code>\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u5199CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(['Name', 'Age', 'City'])<\/p>\n
    writer.writerow(['Alice', 30, 'New York'])<\/p>\n
    writer.writerow(['Bob', 25, 'Los Angeles'])<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', 'r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001JSON\u6587\u4ef6<\/h3>\n<\/p>\n
JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u6613\u4e8e\u4eba\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u4e5f\u6613\u4e8e\u673a\u5668\u89e3\u6790\u548c\u751f\u6210\u3002Python\u7684json<\/code>\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u5199JSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u5199\u5165JSON\u6587\u4ef6<\/strong><\/h2>\n
data = {<\/p>\n
    'name': 'Alice',<\/p>\n
    'age': 30,<\/p>\n
    'city': 'New York'<\/p>\n
}<\/p>\n
with open('example.json', 'w') as file:<\/p>\n
    json.dump(data, file)<\/p>\n
\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n
with open('example.json', 'r') as file:<\/p>\n
    data = json.load(file)<\/p>\n
    print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6570\u636e\u5e93<\/h3>\n<\/p>\n
\u4f7f\u7528\u6570\u636e\u5e93\u4fdd\u5b58\u6570\u636e\u7684\u4f18\u52bf\u5728\u4e8e\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u67e5\u8be2\u548c\u7ba1\u7406\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u5e93\u63a5\u53e3\uff0c\u5982SQLite\u3001MySQL\u3001PostgreSQL\u7b49\u3002\u8fd9\u91cc\u4ee5SQLite\u4e3a\u4f8b\uff0c\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Python\u7684sqlite3<\/code>\u6a21\u5757\u64cd\u4f5c\u6570\u636e\u5e93\u3002<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn = sqlite3.connect('example.db')<\/p>\n
cursor = conn.cursor()<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\n
cursor.execute('''<\/p>\n
CREATE TABLE IF NOT EXISTS users (<\/p>\n
    id INTEGER PRIMARY KEY,<\/p>\n
    name TEXT,<\/p>\n
    age INTEGER,<\/p>\n
    city TEXT<\/p>\n
)<\/p>\n
''')<\/p>\n
\u63d2\u5165\u6570\u636e<\/strong><\/h2>\n
cursor.execute('''<\/p>\n
INSERT INTO users (name, age, city)<\/p>\n
VALUES ('Alice', 30, 'New York')<\/p>\n
''')<\/p>\n
\u63d0\u4ea4\u4e8b\u52a1<\/strong><\/h2>\n
conn.commit()<\/p>\n
\u67e5\u8be2\u6570\u636e<\/strong><\/h2>\n
cursor.execute('SELECT * FROM users')<\/p>\n
rows = cursor.fetchall()<\/p>\n
for row in rows:<\/p>\n
    print(row)<\/p>\n
\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001Pickle\u6a21\u5757<\/h3>\n<\/p>\n
Python\u7684pickle<\/code>\u6a21\u5757\u7528\u4e8e\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316Python\u5bf9\u8c61\uff0c\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff0c\u4e5f\u53ef\u4ee5\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6Python\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
import pickle<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5bf9\u8c61<\/strong><\/h2>\n
data = {'name': 'Alice', 'age': 30, 'city': 'New York'}<\/p>\n
\u5e8f\u5217\u5316\u5bf9\u8c61\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6<\/strong><\/h2>\n
with open('example.pkl', 'wb') as file:<\/p>\n
    pickle.dump(data, file)<\/p>\n
\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u5e76\u53cd\u5e8f\u5217\u5316\u5bf9\u8c61<\/strong><\/h2>\n
with open('example.pkl', 'rb') as file:<\/p>\n
    data = pickle.load(file)<\/p>\n
    print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001Pandas\u5e93<\/h3>\n<\/p>\n
Pandas\u5e93\u662fPython\u4e2d\u5e38\u7528\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7ed3\u6784\u548c\u6570\u636e\u5206\u6790\u5de5\u5177\u3002Pandas\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u5199\u591a\u79cd\u6587\u4ef6\u683c\u5f0f\uff0c\u5982CSV\u3001Excel\u3001JSON\u7b49\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efaDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob'],<\/p>\n
    'Age': [30, 25],<\/p>\n
    'City': ['New York', 'Los Angeles']<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u4fdd\u5b58DataFrame\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('example.csv', index=False)<\/p>\n
\u4eceCSV\u6587\u4ef6\u8bfb\u53d6DataFrame<\/strong><\/h2>\n
df = pd.read_csv('example.csv')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001Excel\u6587\u4ef6<\/h3>\n<\/p>\n
Excel\u6587\u4ef6\u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u8868\u683c\u6570\u636e\u683c\u5f0f\u3002Python\u7684openpyxl<\/code>\u548cpandas<\/code>\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u5199Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
\u521b\u5efaExcel\u5de5\u4f5c\u7c3f\u548c\u5de5\u4f5c\u8868<\/strong><\/h2>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
ws.title = "Sheet1"<\/p>\n
\u5199\u5165\u6570\u636e\u5230Excel\u6587\u4ef6<\/strong><\/h2>\n
ws.append(['Name', 'Age', 'City'])<\/p>\n
ws.append(['Alice', 30, 'New York'])<\/p>\n
ws.append(['Bob', 25, 'Los Angeles'])<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('example.xlsx')<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001HDF5\u6587\u4ef6<\/h3>\n<\/p>\n
HDF5\u662f\u4e00\u79cd\u7528\u4e8e\u5b58\u50a8\u548c\u7ec4\u7ec7\u5927\u89c4\u6a21\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\u3002Python\u7684h5py<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u8bfb\u5199HDF5\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import h5py<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efaHDF5\u6587\u4ef6\u5e76\u5199\u5165\u6570\u636e<\/strong><\/h2>\n
with h5py.File('example.h5', 'w') as file:<\/p>\n
    file.create_dataset('dataset', data=np.arange(100))<\/p>\n
\u8bfb\u53d6HDF5\u6587\u4ef6<\/strong><\/h2>\n
with h5py.File('example.h5', 'r') as file:<\/p>\n
    data = file['dataset'][:]<\/p>\n
    print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001YAML\u6587\u4ef6<\/h3>\n<\/p>\n
YAML\uff08YAML AI<\/a>n't Markup Language\uff09\u662f\u4e00\u79cd\u5e38\u7528\u4e8e\u914d\u7f6e\u6587\u4ef6\u7684\u6570\u636e\u5e8f\u5217\u5316\u683c\u5f0f\u3002Python\u7684PyYAML<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u8bfb\u5199YAML\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import yaml<\/p>\n
\u521b\u5efa\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    'name': 'Alice',<\/p>\n
    'age': 30,<\/p>\n
    'city': 'New York'<\/p>\n
}<\/p>\n
\u5199\u5165YAML\u6587\u4ef6<\/strong><\/h2>\n
with open('example.yaml', 'w') as file:<\/p>\n
    yaml.dump(data, file)<\/p>\n
\u8bfb\u53d6YAML\u6587\u4ef6<\/strong><\/h2>\n
with open('example.yaml', 'r') as file:<\/p>\n
    data = yaml.load(file, Loader=yaml.FullLoader)<\/p>\n
    print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001XML\u6587\u4ef6<\/h3>\n<\/p>\n
XML\uff08Extensible Markup Language\uff09\u662f\u4e00\u79cd\u7528\u4e8e\u6807\u8bb0\u6587\u6863\u7684\u901a\u7528\u683c\u5f0f\u3002Python\u7684xml.etree.ElementTree<\/code>\u6a21\u5757\u53ef\u4ee5\u7528\u4e8e\u89e3\u6790\u548c\u751f\u6210XML\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import xml.etree.ElementTree as ET<\/p>\n
\u521b\u5efaXML\u6570\u636e<\/strong><\/h2>\n
root = ET.Element('root')<\/p>\n
child1 = ET.SubElement(root, 'child')<\/p>\n
child1.text = 'This is child1'<\/p>\n
child2 = ET.SubElement(root, 'child')<\/p>\n
child2.text = 'This is child2'<\/p>\n
\u5199\u5165XML\u6587\u4ef6<\/strong><\/h2>\n
tree = ET.ElementTree(root)<\/p>\n
tree.write('example.xml')<\/p>\n
\u8bfb\u53d6XML\u6587\u4ef6<\/strong><\/h2>\n
tree = ET.parse('example.xml')<\/p>\n
root = tree.getroot()<\/p>\n
for child in root:<\/p>\n
    print(child.tag, child.text)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e00\u3001SQLAlchemy\u5e93<\/h3>\n<\/p>\n
SQLAlchemy\u662fPython\u7684\u4e00\u4e2aSQL\u5de5\u5177\u5305\u548c\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff08ORM\uff09\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86\u5bf9\u5173\u7cfb\u6570\u636e\u5e93\u7684\u9ad8\u6548\u548c\u9ad8\u5c42\u6b21\u7684\u62bd\u8c61\u3002<\/p>\n<\/p>\n
from sqlalchemy import create_engine, Column, Integer, String, Base<\/p>\n
from sqlalchemy.orm import sessionmaker<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
engine = create_engine('sqlite:\/\/\/example.db')<\/p>\n
Base = declarative_base()<\/p>\n
\u5b9a\u4e49User\u7c7b<\/strong><\/h2>\n
class User(Base):<\/p>\n
    __tablename__ = 'users'<\/p>\n
    id = Column(Integer, primary_key=True)<\/p>\n
    name = Column(String)<\/p>\n
    age = Column(Integer)<\/p>\n
    city = Column(String)<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\n
Base.metadata.create_all(engine)<\/p>\n
\u521b\u5efa\u4f1a\u8bdd<\/strong><\/h2>\n
Session = sessionmaker(bind=engine)<\/p>\n
session = Session()<\/p>\n
\u63d2\u5165\u6570\u636e<\/strong><\/h2>\n
new_user = User(name='Alice', age=30, city='New York')<\/p>\n
session.add(new_user)<\/p>\n
session.commit()<\/p>\n
\u67e5\u8be2\u6570\u636e<\/strong><\/h2>\n
users = session.query(User).all()<\/p>\n
for user in users:<\/p>\n
    print(user.name, user.age, user.city)<\/p>\n
\u5173\u95ed\u4f1a\u8bdd<\/strong><\/h2>\n
session.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u4e8c\u3001Feather\u6587\u4ef6<\/h3>\n<\/p>\n
Feather\u662f\u4e00\u79cd\u5feb\u901f\u3001\u8f7b\u91cf\u7ea7\u7684\u5217\u5f0f\u6570\u636e\u5b58\u50a8\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u5728Python\u548cR\u4e4b\u95f4\u8fdb\u884c\u6570\u636e\u4f20\u8f93\u3002Python\u7684pyarrow<\/code>\u5e93\u53ef\u4ee5\u7528\u4e8e\u8bfb\u5199Feather\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pyarrow.feather as feather<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efaDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob'],<\/p>\n
    'Age': [30, 25],<\/p>\n
    'City': ['New York', 'Los Angeles']<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u4fdd\u5b58DataFrame\u5230Feather\u6587\u4ef6<\/strong><\/h2>\n
feather.write_feather(df, 'example.feather')<\/p>\n
\u4eceFeather\u6587\u4ef6\u8bfb\u53d6DataFrame<\/strong><\/h2>\n
df = feather.read_feather('example.feather')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4ee5\u4e0a\u4ecb\u7ecd\u4e86Python\u4e2d\u4fdd\u5b58\u6570\u636e\u6587\u4ef6\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u6db5\u76d6\u4e86\u6587\u672c\u6587\u4ef6\u3001\u4e8c\u8fdb\u5236\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001Pickle\u6a21\u5757\u3001Pandas\u5e93\u3001Excel\u6587\u4ef6\u3001HDF5\u6587\u4ef6\u3001YAML\u6587\u4ef6\u3001XML\u6587\u4ef6\u3001SQLAlchemy\u5e93\u3001Feather\u6587\u4ef6\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u52bf\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u9009\u62e9\u5408\u9002\u7684\u6587\u4ef6\u683c\u5f0f\u6765\u4fdd\u5b58\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u6587\u4ef6\u683c\u5f0f\u5bf9\u4e8e\u6570\u636e\u7684\u4fdd\u5b58\u81f3\u5173\u91cd\u8981\u3002\u5e38\u89c1\u7684\u6587\u4ef6\u683c\u5f0f\u5305\u62ecCSV\u3001JSON\u3001Excel\u7b49\u3002CSV\u683c\u5f0f\u9002\u5408\u4fdd\u5b58\u8868\u683c\u578b\u6570\u636e\uff0c\u6613\u4e8e\u67e5\u770b\u548c\u7f16\u8f91\uff1bJSON\u9002\u5408\u4fdd\u5b58\u7ed3\u6784\u5316\u6570\u636e\uff0c\u5c24\u5176\u662f\u5728Web\u5e94\u7528\u4e2d\uff1bExcel\u5219\u9002\u7528\u4e8e\u9700\u8981\u590d\u6742\u8868\u683c\u548c\u516c\u5f0f\u7684\u6570\u636e\u3002\u6839\u636e\u6570\u636e\u7684\u7ed3\u6784\u548c\u540e\u7eed\u4f7f\u7528\u573a\u666f\uff0c\u9009\u62e9\u9002\u5408\u7684\u683c\u5f0f\u53ef\u4ee5\u63d0\u9ad8\u6570\u636e\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7528\u6027\u3002<\/p>\n
\u5728Python\u4e2d\u5982\u4f55\u5904\u7406\u5927\u6570\u636e\u6587\u4ef6\u7684\u4fdd\u5b58\u95ee\u9898\uff1f<\/strong>
\u5904\u7406\u5927\u6570\u636e\u6587\u4ef6\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528\u5206\u5757\u4fdd\u5b58\u7684\u65b9\u6cd5\u3002\u4f7f\u7528Pandas\u7684to_csv<\/code>\u6216to_hdf<\/code>\u7b49\u51fd\u6570\u65f6\uff0c\u53ef\u4ee5\u8bbe\u7f6echunksize<\/code>\u53c2\u6570\uff0c\u5c06\u6570\u636e\u5206\u6279\u5199\u5165\u6587\u4ef6\u3002\u8fd9\u4e0d\u4ec5\u53ef\u4ee5\u907f\u514d\u5185\u5b58\u6ea2\u51fa\uff0c\u8fd8\u80fd\u63d0\u9ad8\u5199\u5165\u6548\u7387\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u4e8c\u8fdb\u5236\u683c\u5f0f\uff08\u5982HDF5\uff09\u4e5f\u53ef\u4ee5\u6709\u6548\u51cf\u5c11\u6587\u4ef6\u5927\u5c0f\u5e76\u52a0\u5feb\u8bfb\u5199\u901f\u5ea6\u3002<\/p>\n
\u5982\u4f55\u786e\u4fdd\u4fdd\u5b58\u7684\u6570\u636e\u6587\u4ef6\u7684\u5b89\u5168\u6027\u548c\u5b8c\u6574\u6027\uff1f<\/strong>
\u4e3a\u4e86\u786e\u4fdd\u4fdd\u5b58\u7684\u6570\u636e\u6587\u4ef6\u7684\u5b89\u5168\u6027\u548c\u5b8c\u6574\u6027\uff0c\u53ef\u4ee5\u91c7\u53d6\u591a\u4e2a\u63aa\u65bd\u3002\u9996\u5148\uff0c\u4f7f\u7528\u7248\u672c\u63a7\u5236\u5de5\u5177\uff08\u5982Git\uff09\u6765\u8ddf\u8e2a\u6587\u4ef6\u7684\u53d8\u5316\uff0c\u786e\u4fdd\u53ef\u4ee5\u6062\u590d\u5230\u4e4b\u524d\u7684\u7248\u672c\u3002\u5176\u6b21\uff0c\u5b9a\u671f\u5907\u4efd\u6570\u636e\u6587\u4ef6\uff0c\u5c06\u5176\u5b58\u50a8\u5728\u4e0d\u540c\u7684\u4f4d\u7f6e\u3002\u6700\u540e\uff0c\u8003\u8651\u4f7f\u7528\u52a0\u5bc6\u6280\u672f\u6765\u4fdd\u62a4\u654f\u611f\u6570\u636e\uff0c\u786e\u4fdd\u53ea\u6709\u6388\u6743\u7528\u6237\u80fd\u591f\u8bbf\u95ee\u8fd9\u4e9b\u6587\u4ef6\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u4fdd\u5b58\u6570\u636e\u6587\u4ef6\u7684\u65b9\u5f0f\u6709\u5f88\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u3001\u4e8c\u8fdb\u5236\u6587\u4ef6\u3001\u6570\u636e […]","protected":false},"author":3,"featured_media":1180747,"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\/1180733"}],"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=1180733"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180733\/revisions"}],"predecessor-version":[{"id":1180752,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180733\/revisions\/1180752"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1180747"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1180733"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1180733"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1180733"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}