{"id":1151369,"date":"2025-01-13T17:12:49","date_gmt":"2025-01-13T09:12:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1151369.html"},"modified":"2025-01-13T17:12:51","modified_gmt":"2025-01-13T09:12:51","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98%e7%bb%93%e6%9e%9c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1151369.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u4fdd\u5b58\u7ed3\u679c"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u4fdd\u5b58\u7ed3\u679c\"<\/p>\n

\u5728Python\u4e2d\u4fdd\u5b58\u7ed3\u679c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001\u5e8f\u5217\u5316\u5e93\u7b49\u3002\u4e3b\u8981\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u5199\u5165\u6587\u672c\u6587\u4ef6\u3001\u5199\u5165CSV\u6587\u4ef6\u3001\u5199\u5165JSON\u6587\u4ef6\u3001\u4f7f\u7528pickle\u5e8f\u5217\u5316\u6570\u636e\u3001\u4fdd\u5b58\u5230\u6570\u636e\u5e93\u3002<\/strong> \u5176\u4e2d\uff0c\u5199\u5165CSV\u6587\u4ef6\u662f\u4e00\u79cd\u5e38\u89c1\u4e14\u4fbf\u6377\u7684\u65b9\u6cd5\uff0c\u7279\u522b\u9002\u7528\u4e8e\u4fdd\u5b58\u8868\u683c\u6570\u636e\u3002CSV\u6587\u4ef6\u6613\u4e8e\u8bfb\u53d6\u548c\u5904\u7406\uff0c\u5e7f\u6cdb\u5e94\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u9886\u57df\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5728Python\u4e2d\u4fdd\u5b58\u7ed3\u679c\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5199\u5165\u6587\u672c\u6587\u4ef6<\/p>\n<\/p>\n

\u5199\u5165\u6587\u672c\u6587\u4ef6\u662f\u6700\u57fa\u672c\u7684\u4fdd\u5b58\u7ed3\u679c\u7684\u65b9\u6cd5\u3002\u53ef\u4ee5\u5c06\u6570\u636e\u5199\u5165\u666e\u901a\u6587\u672c\u6587\u4ef6\uff0c\u9002\u7528\u4e8e\u4fdd\u5b58\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u6216\u65e5\u5fd7\u6570\u636e\u3002<\/p>\n<\/p>\n

# \u793a\u4f8b\u4ee3\u7801<\/p>\n
data = "\u8fd9\u662f\u8981\u4fdd\u5b58\u7684\u7ed3\u679c\u6570\u636e\u3002"<\/p>\n
with open('result.txt', 'w', encoding='utf-8') as file:<\/p>\n
    file.write(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u5e76\u6253\u5f00\u4e00\u4e2a\u540d\u4e3aresult.txt<\/code>\u7684\u6587\u4ef6\uff08\u5982\u679c\u6587\u4ef6\u4e0d\u5b58\u5728\uff0c\u5c06\u81ea\u52a8\u521b\u5efa\uff09\uff0c\u7136\u540e\u4f7f\u7528write()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u4f7f\u7528with open<\/code>\u8bed\u53e5\u53ef\u4ee5\u786e\u4fdd\u6587\u4ef6\u5728\u5199\u5165\u64cd\u4f5c\u5b8c\u6210\u540e\u81ea\u52a8\u5173\u95ed\uff0c\u907f\u514d\u6587\u4ef6\u6cc4\u9732\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u5199\u5165CSV\u6587\u4ef6<\/p>\n<\/p>\n
CSV\uff08Comma-Separated Values\uff09\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u4fdd\u5b58\u8868\u683c\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6765\u5199\u5165\u548c\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import csv<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = [<\/p>\n
    ["\u59d3\u540d", "\u5e74\u9f84", "\u57ce\u5e02"],<\/p>\n
    ["\u5f20\u4e09", 28, "\u5317\u4eac"],<\/p>\n
    ["\u674e\u56db", 22, "\u4e0a\u6d77"],<\/p>\n
    ["\u738b\u4e94", 25, "\u5e7f\u5dde"]<\/p>\n
]<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('result.csv', 'w', newline='', encoding='utf-8') 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\u9996\u5148\u5bfc\u5165csv<\/code>\u6a21\u5757\uff0c\u7136\u540e\u51c6\u5907\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u5217\u8868\u3002\u4f7f\u7528csv.writer<\/code>\u521b\u5efa\u4e00\u4e2a\u5199\u5165\u5668\u5bf9\u8c61\uff0c\u5e76\u8c03\u7528writerows()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165CSV\u6587\u4ef6\u3002newline=''<\/code>\u53c2\u6570\u53ef\u4ee5\u907f\u514d\u5199\u5165\u591a\u4f59\u7684\u7a7a\u884c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u5199\u5165JSON\u6587\u4ef6<\/p>\n<\/p>\n
JSON\uff08JavaScript Object Notation\uff09\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u4fdd\u5b58\u7ed3\u6784\u5316\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528Python\u5185\u7f6e\u7684json<\/code>\u6a21\u5757\u6765\u5199\u5165\u548c\u8bfb\u53d6JSON\u6587\u4ef6\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {<\/p>\n
    "\u59d3\u540d": "\u5f20\u4e09",<\/p>\n
    "\u5e74\u9f84": 28,<\/p>\n
    "\u57ce\u5e02": "\u5317\u4eac"<\/p>\n
}<\/p>\n
\u5199\u5165JSON\u6587\u4ef6<\/strong><\/h2>\n
with open('result.json', 'w', encoding='utf-8') as file:<\/p>\n
    json.dump(data, file, ensure_ascii=False, indent=4)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165json<\/code>\u6a21\u5757\uff0c\u7136\u540e\u51c6\u5907\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u5b57\u5178\u3002\u4f7f\u7528json.dump()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5199\u5165JSON\u6587\u4ef6\u3002ensure_ascii=False<\/code>\u53c2\u6570\u786e\u4fdd\u975eASCII\u5b57\u7b26\uff08\u5982\u4e2d\u6587\uff09\u80fd\u591f\u6b63\u786e\u5199\u5165\uff0cindent=4<\/code>\u53c2\u6570\u7528\u4e8e\u683c\u5f0f\u5316\u8f93\u51fa\uff0c\u4f7fJSON\u6587\u4ef6\u66f4\u6613\u8bfb\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528pickle\u5e8f\u5217\u5316\u6570\u636e<\/p>\n<\/p>\n
pickle<\/code>\u6a21\u5757\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\u4e3a\u4e8c\u8fdb\u5236\u683c\u5f0f\uff0c\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u9002\u7528\u4e8e\u4fdd\u5b58\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\uff0c\u5982\u5217\u8868\u3001\u5b57\u5178\u3001\u7c7b\u5b9e\u4f8b\u7b49\u3002<\/p>\n<\/p>\n
import pickle<\/p>\n
\u793a\u4f8b\u6570\u636e<\/strong><\/h2>\n
data = {"\u59d3\u540d": "\u5f20\u4e09", "\u5e74\u9f84": 28, "\u57ce\u5e02": "\u5317\u4eac"}<\/p>\n
\u5e8f\u5217\u5316\u5e76\u5199\u5165\u6587\u4ef6<\/strong><\/h2>\n
with open('result.pkl', 'wb') as file:<\/p>\n
    pickle.dump(data, file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u5bfc\u5165pickle<\/code>\u6a21\u5757\uff0c\u7136\u540e\u51c6\u5907\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684\u5b57\u5178\u3002\u4f7f\u7528pickle.dump()<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5e8f\u5217\u5316\u5e76\u5199\u5165\u4e8c\u8fdb\u5236\u6587\u4ef6\u3002wb<\/code>\u6a21\u5f0f\u8868\u793a\u4ee5\u4e8c\u8fdb\u5236\u5199\u5165\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u5230\u6570\u636e\u5e93<\/p>\n<\/p>\n
\u4f7f\u7528\u5173\u7cfb\u578b\u6570\u636e\u5e93\uff08\u5982SQLite\u3001MySQL\uff09\u6216NoSQL\u6570\u636e\u5e93\uff08\u5982MongoDB\uff09\u4fdd\u5b58\u6570\u636e\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u7ba1\u7406\u548c\u67e5\u8be2\u5927\u578b\u6570\u636e\u96c6\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528SQLite\u6570\u636e\u5e93\u4fdd\u5b58\u6570\u636e\u7684\u793a\u4f8b\u3002<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn = sqlite3.connect('result.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 AUTOINCREMENT,<\/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
data = [("\u5f20\u4e09", 28, "\u5317\u4eac"), ("\u674e\u56db", 22, "\u4e0a\u6d77"), ("\u738b\u4e94", 25, "\u5e7f\u5dde")]<\/p>\n
cursor.executemany('''<\/p>\n
    INSERT INTO users (name, age, city) VALUES (?, ?, ?)<\/p>\n
''', data)<\/p>\n
\u63d0\u4ea4\u4e8b\u52a1\u5e76\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\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\u5bfc\u5165sqlite3<\/code>\u6a21\u5757\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u5e93\u8fde\u63a5\u5e76\u83b7\u53d6\u6e38\u6807\u3002\u901a\u8fc7\u6267\u884cCREATE TABLE<\/code>\u8bed\u53e5\u521b\u5efa\u4e00\u4e2a\u8868\uff0c\u5e76\u4f7f\u7528executemany()<\/code>\u65b9\u6cd5\u6279\u91cf\u63d2\u5165\u6570\u636e\u3002\u6700\u540e\uff0c\u63d0\u4ea4\u4e8b\u52a1\u5e76\u5173\u95ed\u8fde\u63a5\u3002<\/p>\n<\/p>\n
\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u5728Python\u4e2d\u4fdd\u5b58\u7ed3\u679c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u5199\u5165\u6587\u672c\u6587\u4ef6\u3001\u5199\u5165CSV\u6587\u4ef6\u3001\u5199\u5165JSON\u6587\u4ef6\u3001\u4f7f\u7528pickle\u5e8f\u5217\u5316\u6570\u636e\u3001\u4fdd\u5b58\u5230\u6570\u636e\u5e93\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u7ed3\u6784\u548c\u5e94\u7528\u573a\u666f\u3002\u5199\u5165CSV\u6587\u4ef6\u662f\u4e00\u79cd\u5e38\u89c1\u4e14\u4fbf\u6377\u7684\u65b9\u6cd5\uff0c\u7279\u522b\u9002\u7528\u4e8e\u4fdd\u5b58\u8868\u683c\u6570\u636e\u3002JSON\u6587\u4ef6\u9002\u7528\u4e8e\u4fdd\u5b58\u7ed3\u6784\u5316\u6570\u636e\uff0c\u800cpickle\u6a21\u5757\u9002\u7528\u4e8e\u4fdd\u5b58\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u3002\u4f7f\u7528\u6570\u636e\u5e93\u4fdd\u5b58\u6570\u636e\u53ef\u4ee5\u65b9\u4fbf\u5730\u7ba1\u7406\u548c\u67e5\u8be2\u5927\u578b\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u638c\u63e1\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u7075\u6d3b\u9009\u62e9\u5408\u9002\u7684\u65b9\u5f0f\u6765\u4fdd\u5b58\u7ed3\u679c\u6570\u636e\uff0c\u63d0\u9ad8\u6570\u636e\u5904\u7406\u548c\u7ba1\u7406\u7684\u6548\u7387\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5c06\u8ba1\u7b97\u7ed3\u679c\u4fdd\u5b58\u4e3a\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684\u6587\u4ef6\u64cd\u4f5c\u51fd\u6570\u5c06\u8ba1\u7b97\u7ed3\u679c\u4fdd\u5b58\u4e3a\u6587\u4ef6\u3002\u901a\u8fc7\u4f7f\u7528open()<\/code>\u51fd\u6570\u521b\u5efa\u4e00\u4e2a\u6587\u4ef6\u5bf9\u8c61\uff0c\u7136\u540e\u4f7f\u7528write()<\/code>\u65b9\u6cd5\u5c06\u7ed3\u679c\u5199\u5165\u6587\u4ef6\u3002\u5e38\u89c1\u7684\u6587\u4ef6\u683c\u5f0f\u5305\u62ec\u6587\u672c\u6587\u4ef6\uff08.txt\uff09\u3001CSV\u6587\u4ef6\uff08.csv\uff09\u7b49\u3002\u4f8b\u5982\uff0c\u4fdd\u5b58\u4e00\u4e2a\u5217\u8868\u5230\u6587\u672c\u6587\u4ef6\u53ef\u4ee5\u8fd9\u6837\u5b9e\u73b0\uff1a<\/p>\n
results = [1, 2, 3, 4, 5]\nwith open('results.txt', 'w') as file:\n    for item in results:\n        file.write(f"{item}\\n")\n<\/code><\/pre>\n
\u8fd9\u6bb5\u4ee3\u7801\u5c06\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u5199\u5165\u4e00\u4e2a\u65b0\u7684\u6587\u672c\u6587\u4ef6\u4e2d\uff0c\u6bcf\u4e2a\u5143\u7d20\u5360\u4e00\u884c\u3002<\/p>\n
\u5982\u4f55\u5c06Python\u4e2d\u7684\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u6587\u4ef6\uff1f<\/strong>
\u5982\u679c\u9700\u8981\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aExcel\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\uff0c\u7136\u540e\u53ef\u4ee5\u5c06\u6570\u636e\u6846\uff08DataFrame\uff09\u5bfc\u51fa\u4e3aExcel\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n
import pandas as pd\n\ndata = {'Name': ['Alice', 'Bob', 'Charlie'], 'Score': [85, 90, 95]}\ndf = pd.DataFrame(data)\ndf.to_excel('results.xlsx', index=False)\n<\/code><\/pre>\n
\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u521b\u5efa\u4e00\u4e2a\u540d\u4e3aresults.xlsx<\/code>\u7684Excel\u6587\u4ef6\uff0c\u5176\u4e2d\u5305\u542b\u540d\u5b57\u548c\u5206\u6570\u4e24\u5217\u3002<\/p>\n
\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528\u6570\u636e\u5e93\u4fdd\u5b58\u7ed3\u679c\uff1f<\/strong>
\u4f7f\u7528\u6570\u636e\u5e93\u4fdd\u5b58\u7ed3\u679c\u662f\u7ba1\u7406\u548c\u67e5\u8be2\u5927\u91cf\u6570\u636e\u7684\u6709\u6548\u65b9\u5f0f\u3002Python\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\uff0c\u5982SQLite\u3001MySQL\u548cPostgreSQL\u7b49\u3002\u4ee5SQLite\u4e3a\u4f8b\uff0c\u53ef\u4ee5\u4f7f\u7528sqlite3<\/code>\u5e93\u8fdb\u884c\u64cd\u4f5c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n
import sqlite3\n\nconnection = sqlite3.connect('results.db')\ncursor = connection.cursor()\ncursor.execute('CREATE TABLE IF NOT EXISTS results (name TEXT, score INTEGER)')\ncursor.execute('INSERT INTO results (name, score) VALUES (?, ?)', ('Alice', 85))\nconnection.commit()\nconnection.close()\n<\/code><\/pre>\n
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