{"id":1120739,"date":"2025-01-08T19:00:09","date_gmt":"2025-01-08T11:00:09","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1120739.html"},"modified":"2025-01-08T19:00:14","modified_gmt":"2025-01-08T11:00:14","slug":"%e5%a6%82%e4%bd%95%e6%8a%8apython%e4%b8%ad%e7%9a%84%e6%95%b0%e6%8d%ae%e5%af%bc%e5%87%ba%e6%9d%a5","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1120739.html","title":{"rendered":"\u5982\u4f55\u628apython\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u6765"},"content":{"rendered":"

\"\u5982\u4f55\u628apython\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u6765\"<\/p>\n

\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u6765\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\u3001\u4f7f\u7528\u6570\u636e\u5e93\u3001\u4f7f\u7528\u4e91\u5b58\u50a8\u670d\u52a1\u4ee5\u53ca\u4f7f\u7528\u7f51\u7edcAPI\u3002<\/strong> \u5e38\u7528\u7684\u6280\u672f\u6709\uff1aCSV\u6587\u4ef6\u3001Excel\u6587\u4ef6\u3001JSON\u6587\u4ef6\u3001SQL\u6570\u636e\u5e93\u3001NoSQL\u6570\u636e\u5e93\uff08\u5982MongoDB\uff09\u3001RESTful API\u3001\u4e91\u5b58\u50a8\u670d\u52a1\uff08\u5982AWS S3\uff09<\/strong>\u3002\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u53ca\u5176\u5e94\u7528\u573a\u666f\uff0c\u5e2e\u52a9\u8bfb\u8005\u9009\u62e9\u6700\u9002\u5408\u7684\u65b9\u5f0f\u6765\u5bfc\u51faPython\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001CSV\u6587\u4ef6<\/h2>\n<\/p>\n

CSV\uff08Comma Separated Values\uff09\u6587\u4ef6\u662f\u4e00\u79cd\u975e\u5e38\u5e38\u89c1\u7684\u6570\u636e\u5b58\u50a8\u683c\u5f0f\uff0c\u7279\u522b\u9002\u5408\u7528\u6765\u5b58\u50a8\u8868\u683c\u6570\u636e\u3002Python\u4e2d\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

1. \u4f7f\u7528csv\u6a21\u5757<\/h3>\n<\/p>\n

Python\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u5199\u5165CSV\u6587\u4ef6\u7684\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import csv<\/p>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "San Francisco"],<\/p>\n
    ["Charlie", 35, "Los Angeles"]<\/p>\n
]<\/p>\n
with open("output.csv", "w", newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerows(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u4e8c\u7ef4\u5217\u8868data<\/code>\uff0c\u7136\u540e\u4f7f\u7528csv.writer<\/code>\u5c06\u5176\u5199\u5165\u5230output.csv<\/code>\u6587\u4ef6\u4e2d\u3002\u6ce8\u610f\uff0c\u4f7f\u7528newline=''<\/code>\u53c2\u6570\u53ef\u4ee5\u907f\u514d\u5728Windows\u4e0a\u51fa\u73b0\u591a\u4f59\u7684\u7a7a\u884c\u95ee\u9898\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u652f\u6301\u5c06DataFrame\u76f4\u63a5\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "San Francisco", "Los Angeles"]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df.to_csv("output.csv", index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u683c\u5f0f\u7684\u6570\u636e\uff0c\u7136\u540e\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\uff0c\u6700\u540e\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\u5c06\u5176\u5bfc\u51fa\u4e3aCSV\u6587\u4ef6\u3002index=False<\/code>\u53c2\u6570\u7528\u4e8e\u4e0d\u5bfc\u51fa\u884c\u7d22\u5f15\u3002<\/strong><\/p>\n<\/p>\n
\u4e8c\u3001Excel\u6587\u4ef6<\/h2>\n<\/p>\n
Excel\u6587\u4ef6\uff08\u901a\u5e38\u4e3a.xlsx<\/code>\u683c\u5f0f\uff09\u5728\u5546\u52a1\u548c\u6570\u636e\u5206\u6790\u9886\u57df\u975e\u5e38\u6d41\u884c\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u5904\u7406Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl<\/code>\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u8bfb\u5199Excel\u6587\u4ef6\u7684\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from openpyxl import Workbook<\/p>\n
data = [<\/p>\n
    ["Name", "Age", "City"],<\/p>\n
    ["Alice", 30, "New York"],<\/p>\n
    ["Bob", 25, "San Francisco"],<\/p>\n
    ["Charlie", 35, "Los Angeles"]<\/p>\n
]<\/p>\n
wb = Workbook()<\/p>\n
ws = wb.active<\/p>\n
for row in data:<\/p>\n
    ws.append(row)<\/p>\n
wb.save("output.xlsx")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2aWorkbook<\/code>\u5bf9\u8c61\uff0c\u5e76\u5c06\u6570\u636e\u9010\u884c\u6dfb\u52a0\u5230\u6d3b\u52a8\u5de5\u4f5c\u8868\u4e2d\uff0c\u6700\u540e\u4fdd\u5b58\u4e3aoutput.xlsx<\/code>\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2. \u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u4e5f\u652f\u6301\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "San Francisco", "Los Angeles"]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df.to_excel("output.xlsx", index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528to_excel<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u540c\u6837\u4f7f\u7528index=False<\/code>\u53c2\u6570\u4e0d\u5bfc\u51fa\u884c\u7d22\u5f15\u3002<\/strong><\/p>\n<\/p>\n
\u4e09\u3001JSON\u6587\u4ef6<\/h2>\n<\/p>\n
JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u5e7f\u6cdb\u7528\u4e8e\u7f51\u7edc\u901a\u4fe1\u3002Python\u4e2d\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684json<\/code>\u6a21\u5757\u6765\u5904\u7406JSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528json\u6a21\u5757<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u5c06\u6570\u636e\u5bfc\u51fa\u4e3aJSON\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import json<\/p>\n
data = {<\/p>\n
    "people": [<\/p>\n
        {"Name": "Alice", "Age": 30, "City": "New York"},<\/p>\n
        {"Name": "Bob", "Age": 25, "City": "San Francisco"},<\/p>\n
        {"Name": "Charlie", "Age": 35, "City": "Los Angeles"}<\/p>\n
    ]<\/p>\n
}<\/p>\n
with open("output.json", "w") as file:<\/p>\n
    json.dump(data, file, indent=4)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5d4c\u5957\u5b57\u5178\u683c\u5f0f\u7684\u6570\u636e\uff0c\u7136\u540e\u4f7f\u7528json.dump<\/code>\u65b9\u6cd5\u5c06\u5176\u5199\u5165\u5230output.json<\/code>\u6587\u4ef6\u4e2d\u3002indent=4<\/code>\u53c2\u6570\u7528\u4e8e\u683c\u5f0f\u5316\u8f93\u51fa\uff0c\u4f7fJSON\u6587\u4ef6\u66f4\u6613\u8bfb\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u4e5f\u652f\u6301\u5c06DataFrame\u5bfc\u51fa\u4e3aJSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = {<\/p>\n
    "Name": ["Alice", "Bob", "Charlie"],<\/p>\n
    "Age": [30, 25, 35],<\/p>\n
    "City": ["New York", "San Francisco", "Los Angeles"]<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
df.to_json("output.json", orient="records", indent=4)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528to_json<\/code>\u65b9\u6cd5\u5c06DataFrame\u5bfc\u51fa\u4e3aJSON\u6587\u4ef6\u3002orient="records"<\/code>\u53c2\u6570\u6307\u5b9a\u6bcf\u4e00\u884c\u4f5c\u4e3a\u4e00\u4e2aJSON\u5bf9\u8c61\uff0cindent=4<\/code>\u53c2\u6570\u7528\u4e8e\u683c\u5f0f\u5316\u8f93\u51fa\u3002<\/strong><\/p>\n<\/p>\n
\u56db\u3001SQL\u6570\u636e\u5e93<\/h2>\n<\/p>\n
SQL\u6570\u636e\u5e93\uff08\u5982SQLite\u3001MySQL\u3001PostgreSQL\uff09\u662f\u53e6\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u5b58\u50a8\u65b9\u5f0f\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u4e0eSQL\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528sqlite3\u6a21\u5757<\/h3>\n<\/p>\n
sqlite3<\/code>\u662fPython\u5185\u7f6e\u7684SQLite\u6570\u636e\u5e93\u63a5\u53e3\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import sqlite3<\/p>\n
data = [<\/p>\n
    ("Alice", 30, "New York"),<\/p>\n
    ("Bob", 25, "San Francisco"),<\/p>\n
    ("Charlie", 35, "Los Angeles")<\/p>\n
]<\/p>\n
conn = sqlite3.connect("example.db")<\/p>\n
cur = conn.cursor()<\/p>\n
cur.execute("CREATE TABLE IF NOT EXISTS people (Name TEXT, Age INTEGER, City TEXT)")<\/p>\n
cur.executemany("INSERT INTO people (Name, Age, City) VALUES (?, ?, ?)", data)<\/p>\n
conn.commit()<\/p>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230\u4e00\u4e2aSQLite\u6570\u636e\u5e93\uff08\u5982\u679c\u4e0d\u5b58\u5728\u5c06\u4f1a\u521b\u5efa\uff09\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u8868\uff0c\u5e76\u5c06\u6570\u636e\u63d2\u5165\u5230\u8868\u4e2d\u3002executemany<\/code>\u65b9\u6cd5\u7528\u4e8e\u4e00\u6b21\u6027\u63d2\u5165\u591a\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528SQLAlchemy\u5e93<\/h3>\n<\/p>\n
SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684SQL\u5de5\u5177\u5305\u548c\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff08ORM\uff09\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from sqlalchemy import create_engine, Column, Integer, String, Sequence<\/p>\n
from sqlalchemy.ext.declarative import declarative_base<\/p>\n
from sqlalchemy.orm import sessionmaker<\/p>\n
Base = declarative_base()<\/p>\n
class Person(Base):<\/p>\n
    __tablename__ = 'people'<\/p>\n
    id = Column(Integer, Sequence('person_id_seq'), primary_key=True)<\/p>\n
    name = Column(String(50))<\/p>\n
    age = Column(Integer)<\/p>\n
    city = Column(String(50))<\/p>\n
engine = create_engine('sqlite:\/\/\/example.db')<\/p>\n
Base.metadata.create_all(engine)<\/p>\n
Session = sessionmaker(bind=engine)<\/p>\n
session = Session()<\/p>\n
data = [<\/p>\n
    Person(name="Alice", age=30, city="New York"),<\/p>\n
    Person(name="Bob", age=25, city="San Francisco"),<\/p>\n
    Person(name="Charlie", age=35, city="Los Angeles")<\/p>\n
]<\/p>\n
session.add_all(data)<\/p>\n
session.commit()<\/p>\n
session.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528SQLAlchemy\u5b9a\u4e49\u4e86\u4e00\u4e2aPerson<\/code>\u7c7b\uff0c\u5e76\u5c06\u6570\u636e\u63d2\u5165\u5230SQLite\u6570\u636e\u5e93\u4e2d\u3002SQLAlchemy\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\uff0c\u5982\u5173\u7cfb\u6620\u5c04\u548c\u67e5\u8be2\u6784\u5efa\u3002<\/strong><\/p>\n<\/p>\n
\u4e94\u3001NoSQL\u6570\u636e\u5e93<\/h2>\n<\/p>\n
NoSQL\u6570\u636e\u5e93\uff08\u5982MongoDB\u3001Cassandra\uff09\u63d0\u4f9b\u4e86\u4e0d\u540c\u4e8e\u4f20\u7edfSQL\u6570\u636e\u5e93\u7684\u5b58\u50a8\u65b9\u5f0f\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u4e0eNoSQL\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528PyMongo\u5e93<\/h3>\n<\/p>\n
PyMongo<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u4e0eMongoDB\u8fdb\u884c\u4ea4\u4e92\u7684\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from pymongo import MongoClient<\/p>\n
data = [<\/p>\n
    {"Name": "Alice", "Age": 30, "City": "New York"},<\/p>\n
    {"Name": "Bob", "Age": 25, "City": "San Francisco"},<\/p>\n
    {"Name": "Charlie", "Age": 35, "City": "Los Angeles"}<\/p>\n
]<\/p>\n
client = MongoClient("mongodb:\/\/localhost:27017\/")<\/p>\n
db = client["example_db"]<\/p>\n
collection = db["people"]<\/p>\n
collection.insert_many(data)<\/p>\n
client.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230MongoDB\uff0c\u7136\u540e\u5c06\u6570\u636e\u63d2\u5165\u5230\u4e00\u4e2a\u96c6\u5408\u4e2d\u3002insert_many<\/code>\u65b9\u6cd5\u7528\u4e8e\u4e00\u6b21\u6027\u63d2\u5165\u591a\u6761\u6587\u6863\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528Cassandra\u9a71\u52a8\u5e93<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528cassandra-driver<\/code>\u5e93\u4e0eCassandra\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u7684\u57fa\u672c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from cassandra.cluster import Cluster<\/p>\n
data = [<\/p>\n
    ("Alice", 30, "New York"),<\/p>\n
    ("Bob", 25, "San Francisco"),<\/p>\n
    ("Charlie", 35, "Los Angeles")<\/p>\n
]<\/p>\n
cluster = Cluster()<\/p>\n
session = cluster.connect()<\/p>\n
session.execute("CREATE KEYSPACE IF NOT EXISTS example WITH replication = {'class': 'SimpleStrategy', 'replication_factor': 1}")<\/p>\n
session.execute("CREATE TABLE IF NOT EXISTS example.people (Name text, Age int, City text, PRIMARY KEY (Name))")<\/p>\n
for item in data:<\/p>\n
    session.execute("INSERT INTO example.people (Name, Age, City) VALUES (%s, %s, %s)", item)<\/p>\n
cluster.shutdown()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u8fde\u63a5\u5230Cassandra\u6570\u636e\u5e93\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u952e\u7a7a\u95f4\u548c\u8868\uff0c\u5e76\u5c06\u6570\u636e\u63d2\u5165\u5230\u8868\u4e2d\u3002<\/p>\n<\/p>\n
\u516d\u3001RESTful API<\/h2>\n<\/p>\n
RESTful API\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6570\u636e\u4ea4\u6362\u65b9\u5f0f\uff0c\u7279\u522b\u9002\u5408\u7528\u4e8e\u8de8\u5e73\u53f0\u7684\u6570\u636e\u4f20\u8f93\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u4e0eRESTful API\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528requests\u5e93<\/h3>\n<\/p>\n
requests<\/code>\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684HTTP\u5e93\uff0c\u5e38\u7528\u4e8e\u4e0eRESTful API\u8fdb\u884c\u4ea4\u4e92\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import requests<\/p>\n
data = [<\/p>\n
    {"Name": "Alice", "Age": 30, "City": "New York"},<\/p>\n
    {"Name": "Bob", "Age": 25, "City": "San Francisco"},<\/p>\n
    {"Name": "Charlie", "Age": 35, "City": "Los Angeles"}<\/p>\n
]<\/p>\n
response = requests.post("http:\/\/example.com\/api\/people", json=data)<\/p>\n
if response.status_code == 200:<\/p>\n
    print("Data successfully sent to API")<\/p>\n
else:<\/p>\n
    print("FAI<\/a>led to send data to API")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528requests.post<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u4ee5JSON\u683c\u5f0f\u53d1\u9001\u5230\u4e00\u4e2aRESTful API\u7aef\u70b9\u3002\u68c0\u67e5\u54cd\u5e94\u72b6\u6001\u7801\u53ef\u4ee5\u786e\u4fdd\u6570\u636e\u662f\u5426\u6210\u529f\u53d1\u9001\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528Flask\u5e93\u521b\u5efaAPI<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Flask<\/code>\u5e93\u521b\u5efa\u7b80\u5355RESTful API\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from flask import Flask, request, jsonify<\/p>\n
app = Flask(__name__)<\/p>\n
data = []<\/p>\n
@app.route('\/api\/people', methods=['POST'])<\/p>\n
def add_people():<\/p>\n
    new_data = request.get_json()<\/p>\n
    data.extend(new_data)<\/p>\n
    return jsonify({"message": "Data successfully added"}), 200<\/p>\n
@app.route('\/api\/people', methods=['GET'])<\/p>\n
def get_people():<\/p>\n
    return jsonify(data), 200<\/p>\n
if __name__ == '__main__':<\/p>\n
    app.run(debug=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u7b80\u5355\u7684Flask\u5e94\u7528\u7a0b\u5e8f\uff0c\u63d0\u4f9b\u4e24\u4e2aAPI\u7aef\u70b9\uff1a\u4e00\u4e2a\u7528\u4e8e\u6dfb\u52a0\u6570\u636e\uff0c\u53e6\u4e00\u4e2a\u7528\u4e8e\u83b7\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4e91\u5b58\u50a8\u670d\u52a1<\/h2>\n<\/p>\n
\u4e91\u5b58\u50a8\u670d\u52a1\uff08\u5982AWS S3\u3001Google Cloud Storage\uff09\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u5b58\u50a8\u548c\u5206\u53d1\u80fd\u529b\u3002Python\u4e2d\u6709\u591a\u4e2a\u5e93\u53ef\u4ee5\u7528\u6765\u4e0e\u4e91\u5b58\u50a8\u670d\u52a1\u8fdb\u884c\u4ea4\u4e92\u3002<\/p>\n<\/p>\n
1. \u4f7f\u7528boto3\u5e93<\/h3>\n<\/p>\n
boto3<\/code>\u662f\u4e00\u4e2a\u7528\u4e8e\u4e0eAWS\u670d\u52a1\uff08\u5982S3\uff09\u8fdb\u884c\u4ea4\u4e92\u7684\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import boto3<\/p>\n
from botocore.exceptions import NoCredentialsError<\/p>\n
data = "Hello, world!"<\/p>\n
s3 = boto3.client('s3')<\/p>\n
try:<\/p>\n
    s3.put_object(Bucket='your-bucket-name', Key='example.txt', Body=data)<\/p>\n
    print("Data successfully uploaded to S3")<\/p>\n
except NoCredentialsError:<\/p>\n
    print("Credentials not available")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528boto3.client<\/code>\u65b9\u6cd5\u521b\u5efa\u4e00\u4e2aS3\u5ba2\u6237\u7aef\uff0c\u5e76\u5c06\u6570\u636e\u4e0a\u4f20\u5230\u6307\u5b9a\u7684S3\u6876\u4e2d\u3002\u786e\u4fdd\u914d\u7f6e\u4e86AWS\u51ed\u8bc1\u3002<\/strong><\/p>\n<\/p>\n
2. \u4f7f\u7528google-cloud-storage\u5e93<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528google-cloud-storage<\/code>\u5e93\u4e0eGoogle Cloud Storage\u8fdb\u884c\u4ea4\u4e92\u7684\u57fa\u672c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from google.cloud import storage<\/p>\n
data = "Hello, world!"<\/p>\n
client = storage.Client()<\/p>\n
bucket = client.bucket('your-bucket-name')<\/p>\n
blob = bucket.blob('example.txt')<\/p>\n
blob.upload_from_string(data)<\/p>\n
print("Data successfully uploaded to Google Cloud Storage")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2aGoogle Cloud Storage\u5ba2\u6237\u7aef\uff0c\u7136\u540e\u5c06\u6570\u636e\u4e0a\u4f20\u5230\u6307\u5b9a\u7684\u6876\u4e2d\u3002\u786e\u4fdd\u914d\u7f6e\u4e86Google Cloud\u51ed\u8bc1\u3002<\/strong><\/p>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u4e86\u591a\u79cd\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u6765\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\uff08\u5982CSV\u3001Excel\u3001JSON\u6587\u4ef6\uff09\u3001\u4f7f\u7528\u6570\u636e\u5e93\uff08\u5982SQL\u3001NoSQL\u6570\u636e\u5e93\uff09\u3001\u4f7f\u7528RESTful API\u4ee5\u53ca\u4f7f\u7528\u4e91\u5b58\u50a8\u670d\u52a1\uff08\u5982AWS S3\u3001Google Cloud Storage\uff09\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u70b9\u548c\u5e94\u7528\u573a\u666f\uff0c\u8bfb\u8005\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u6700\u5408\u9002\u7684\u65b9\u5f0f\u6765\u5bfc\u51fa\u6570\u636e\u3002<\/p>\n<\/p>\n
\u603b\u800c\u8a00\u4e4b\uff0c\u9009\u62e9\u9002\u5408\u7684\u65b9\u6cd5\u5bfc\u51fa\u6570\u636e\u53ef\u4ee5\u6781\u5927\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u6570\u636e\u5904\u7406\u7684\u7075\u6d3b\u6027\u3002<\/strong><\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5bfc\u51fa\u6570\u636e\u5230CSV\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u6765\u5bfc\u51fa\u6570\u636e\u5230CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u9996\u5148\u9700\u8981\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528csv.writer<\/code>\u5c06\u6570\u636e\u9010\u884c\u5199\u5165\u6587\u4ef6\u3002\u5982\u679c\u9009\u62e9\u4f7f\u7528pandas<\/code>\uff0c\u53ea\u9700\u5c06\u6570\u636e\u5b58\u50a8\u5728DataFrame\u4e2d\uff0c\u8c03\u7528to_csv()<\/code>\u65b9\u6cd5\u5373\u53ef\u3002\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u65b9\u4fbf\u5730\u4fdd\u5b58\u548c\u5206\u4eab\u6570\u636e\u3002<\/p>\n
Python\u652f\u6301\u54ea\u4e9b\u6570\u636e\u683c\u5f0f\u7684\u5bfc\u51fa\uff1f<\/strong>
Python\u652f\u6301\u591a\u79cd\u6570\u636e\u683c\u5f0f\u7684\u5bfc\u51fa\uff0c\u5305\u62ec\u4f46\u4e0d\u9650\u4e8eCSV\u3001Excel\uff08XLSX\uff09\u3001JSON\u3001SQL\u6570\u636e\u5e93\u3001HTML\u7b49\u3002\u4e0d\u540c\u7684\u5e93\u53ef\u4ee5\u5904\u7406\u4e0d\u540c\u7684\u683c\u5f0f\u3002\u4f8b\u5982\uff0cpandas<\/code>\u5e93\u975e\u5e38\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u7684\u5bfc\u51fa\uff0c\u800cjson<\/code>\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u5b57\u5178\u548c\u5217\u8868\u7b49\u6570\u636e\u7ed3\u6784\u7684\u5bfc\u51fa\u3002<\/p>\n
\u5982\u4f55\u786e\u4fdd\u5bfc\u51fa\u7684\u6570\u636e\u683c\u5f0f\u6b63\u786e\uff1f<\/strong>
\u4e3a\u4e86\u786e\u4fdd\u5bfc\u51fa\u7684\u6570\u636e\u683c\u5f0f\u6b63\u786e\uff0c\u5efa\u8bae\u5728\u5bfc\u51fa\u4e4b\u524d\u5bf9\u6570\u636e\u8fdb\u884c\u9a8c\u8bc1\u548c\u6e05\u6d17\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u7684DataFrame<\/code>\u65b9\u6cd5\u6765\u68c0\u67e5\u6570\u636e\u7c7b\u578b\u548c\u7f3a\u5931\u503c\uff0c\u786e\u4fdd\u6570\u636e\u7b26\u5408\u9884\u671f\u3002\u6b64\u5916\uff0c\u5728\u5bfc\u51fa\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u53c2\u6570\u4ee5\u8c03\u6574\u683c\u5f0f\uff0c\u4f8b\u5982\u8bbe\u7f6e\u5206\u9694\u7b26\u3001\u7f16\u7801\u65b9\u5f0f\u7b49\uff0c\u8fdb\u4e00\u6b65\u786e\u4fdd\u6570\u636e\u7684\u51c6\u786e\u6027\u548c\u53ef\u8bfb\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5c06Python\u4e2d\u7684\u6570\u636e\u5bfc\u51fa\u6765\u7684\u65b9\u6cd5\u6709\u5f88\u591a\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u6587\u4ef6I\/O\u64cd\u4f5c\u3001\u4f7f\u7528\u6570\u636e\u5e93\u3001\u4f7f\u7528\u4e91\u5b58\u50a8\u670d\u52a1\u4ee5\u53ca\u4f7f\u7528\u7f51\u7edcA […]","protected":false},"author":3,"featured_media":1120754,"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\/1120739"}],"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=1120739"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1120739\/revisions"}],"predecessor-version":[{"id":1120759,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1120739\/revisions\/1120759"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1120754"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1120739"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1120739"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1120739"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}