{"id":1150171,"date":"2025-01-13T16:58:31","date_gmt":"2025-01-13T08:58:31","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1150171.html"},"modified":"2025-01-13T16:58:33","modified_gmt":"2025-01-13T08:58:33","slug":"python%e5%a6%82%e4%bd%95%e5%ad%98%e5%82%a8%e6%95%b0%e6%8d%ae%e5%88%97%e8%a1%a8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1150171.html","title":{"rendered":"python\u5982\u4f55\u5b58\u50a8\u6570\u636e\u5217\u8868"},"content":{"rendered":"

\"python\u5982\u4f55\u5b58\u50a8\u6570\u636e\u5217\u8868\"<\/p>\n

Python\u5b58\u50a8\u6570\u636e\u5217\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001\u5e8f\u5217\u5316\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528\u6587\u672c\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u3001SQLite\u6570\u636e\u5e93\u3001Pickle\u6a21\u5757\u7b49\u3002<\/strong>\u5176\u4e2d\uff0c\u4f7f\u7528JSON\u6587\u4ef6<\/strong>\u662f\u4e00\u79cd\u5e38\u89c1\u4e14\u4fbf\u4e8e\u4eba\u7c7b\u9605\u8bfb\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u4f7f\u7528JSON\u6587\u4ef6\u5b58\u50a8\u6570\u636e\u5217\u8868\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

    \n
  1. \n

    \u5bfc\u5165JSON\u6a21\u5757<\/strong>\uff1a\u5728Python\u4e2d\uff0cJSON\u6a21\u5757\u662f\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u65e0\u9700\u989d\u5916\u5b89\u88c5\u3002\u5bfc\u5165\u6a21\u5757\u53ef\u4ee5\u4f7f\u7528import json<\/code>\u3002<\/p>\n<\/p>\n<\/li>\n

  2. \n

    \u521b\u5efa\u6570\u636e\u5217\u8868<\/strong>\uff1a\u521b\u5efa\u4e00\u4e2a\u6570\u636e\u5217\u8868\uff0c\u53ef\u4ee5\u5305\u542b\u4efb\u4f55\u7c7b\u578b\u7684\u6570\u636e\uff0c\u5982\u5b57\u7b26\u4e32\u3001\u6574\u6570\u3001\u5b57\u5178\u7b49\u3002\u4f8b\u5982\uff1adata_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/code>\u3002<\/p>\n<\/p>\n<\/li>\n

  3. \n

    \u5c06\u6570\u636e\u5217\u8868\u5199\u5165JSON\u6587\u4ef6<\/strong>\uff1a\u4f7f\u7528json.dump()<\/code>\u51fd\u6570\u5c06\u6570\u636e\u5217\u8868\u5199\u5165\u6587\u4ef6\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

    with open('data.json', 'w') as file:<\/p>\n
        json.dump(data_list, file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  4. \n
    \u4eceJSON\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868<\/strong>\uff1a\u4f7f\u7528json.load()<\/code>\u51fd\u6570\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5217\u8868\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
    with open('data.json', 'r') as file:<\/p>\n
        data_list = json.load(file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n
    \u901a\u8fc7\u4f7f\u7528JSON\u6587\u4ef6\u5b58\u50a8\u6570\u636e\u5217\u8868\uff0c\u4e0d\u4ec5\u53ef\u4ee5\u4fdd\u6301\u6570\u636e\u7684\u7ed3\u6784\u5316\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u7684\u5171\u4eab\u548c\u4f20\u8f93\u3002<\/p>\n<\/p>\n
    \n
    \u4e00\u3001\u6587\u672c\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
    \u6587\u672c\u6587\u4ef6\u662f\u5b58\u50a8\u6570\u636e\u5217\u8868\u7684\u57fa\u672c\u65b9\u6cd5\u4e4b\u4e00\u3002\u5b83\u4eec\u6613\u4e8e\u521b\u5efa\u548c\u8bfb\u53d6\uff0c\u9002\u5408\u5b58\u50a8\u7b80\u5355\u7684\u5217\u8868\u6570\u636e\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165\u6587\u672c\u6587\u4ef6<\/h4>\n<\/p>\n
    \u8981\u5c06\u6570\u636e\u5217\u8868\u5199\u5165\u6587\u672c\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6eopen<\/code>\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    data_list = ["apple", "banana", "cherry"]<\/p>\n
    with open('data.txt', 'w') as file:<\/p>\n
        for item in data_list:<\/p>\n
            file.write(f"{item}\\n")<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5143\u7d20\u90fd\u4f1a\u88ab\u5199\u5165\u5230data.txt<\/code>\u6587\u4ef6\u4e2d\uff0c\u6bcf\u4e2a\u5143\u7d20\u5360\u4e00\u884c\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4ece\u6587\u672c\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\u4e5f\u5f88\u7b80\u5355\u3002\u53ef\u4ee5\u4f7f\u7528readlines<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u6587\u4ef6\u7684\u6bcf\u4e00\u884c\uff0c\u5e76\u53bb\u6389\u884c\u5c3e\u7684\u6362\u884c\u7b26\uff1a<\/p>\n<\/p>\n
    with open('data.txt', 'r') as file:<\/p>\n
        data_list = file.readlines()<\/p>\n
        data_list = [item.strip() for item in data_list]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542b\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u884c\uff0c\u5e76\u4e14\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u4e00\u4e2a\u5b57\u7b26\u4e32\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001CSV\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
    CSV\uff08\u9017\u53f7\u5206\u9694\u503c\uff09\u6587\u4ef6\u662f\u4e00\u79cd\u5e38\u89c1\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u9002\u5408\u5b58\u50a8\u8868\u683c\u6570\u636e\u3002Python\u7684csv<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u5199CSV\u6587\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\u53ef\u4ee5\u4f7f\u7528csv.writer<\/code>\uff1a<\/p>\n<\/p>\n
    import csv<\/p>\n
    data_list = [["name", "age"], ["Alice", 30], ["Bob", 25]]<\/p>\n
    with open('data.csv', 'w', newline='') as file:<\/p>\n
        writer = csv.writer(file)<\/p>\n
        writer.writerows(data_list)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cdata_list<\/code>\u662f\u4e00\u4e2a\u5305\u542b\u5b50\u5217\u8868\u7684\u5217\u8868\uff0c\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868CSV\u6587\u4ef6\u4e2d\u7684\u4e00\u884c\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\u53ef\u4ee5\u4f7f\u7528csv.reader<\/code>\uff1a<\/p>\n<\/p>\n
    import csv<\/p>\n
    with open('data.csv', 'r') as file:<\/p>\n
        reader = csv.reader(file)<\/p>\n
        data_list = list(reader)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bCSV\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u884c\uff0c\u6bcf\u884c\u90fd\u662f\u4e00\u4e2a\u5217\u8868\u3002<\/p>\n<\/p>\n
    \u4e09\u3001JSON\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
    JSON\uff08JavaScript\u5bf9\u8c61\u8868\u793a\u6cd5\uff09\u6587\u4ef6\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u6613\u4e8e\u4eba\u7c7b\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u9002\u5408\u5b58\u50a8\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165JSON\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528json.dump<\/code>\u5c06\u6570\u636e\u5217\u8868\u5199\u5165JSON\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    with open('data.json', 'w') as file:<\/p>\n
        json.dump(data_list, file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cdata_list<\/code>\u662f\u4e00\u4e2a\u5305\u542b\u5b57\u5178\u7684\u5217\u8868\uff0c\u6bcf\u4e2a\u5b57\u5178\u4ee3\u8868\u4e00\u4e2a\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6JSON\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528json.load<\/code>\u4eceJSON\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    with open('data.json', 'r') as file:<\/p>\n
        data_list = json.load(file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bJSON\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    \u56db\u3001SQLite\u6570\u636e\u5e93\u5b58\u50a8<\/h3>\n<\/p>\n
    SQLite\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u5173\u7cfb\u6570\u636e\u5e93\uff0c\u9002\u5408\u5b58\u50a8\u7ed3\u6784\u5316\u6570\u636e\u3002Python\u7684sqlite3<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u8bbf\u95eeSQLite\u6570\u636e\u5e93\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u521b\u5efa\u6570\u636e\u5e93\u548c\u8868<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u521b\u5efa\u4e00\u4e2aSQLite\u6570\u636e\u5e93\u5e76\u521b\u5efa\u4e00\u4e2a\u8868\u6765\u5b58\u50a8\u6570\u636e\uff1a<\/p>\n<\/p>\n
    import sqlite3<\/p>\n
    conn = sqlite3.connect('data.db')<\/p>\n
    cursor = conn.cursor()<\/p>\n
    cursor.execute('''<\/p>\n
    CREATE TABLE IF NOT EXISTS data (<\/p>\n
        id INTEGER PRIMARY KEY,<\/p>\n
        name TEXT,<\/p>\n
        age INTEGER<\/p>\n
    )<\/p>\n
    ''')<\/p>\n
    conn.commit()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u540d\u4e3adata<\/code>\u7684\u8868\uff0c\u5305\u542b\u4e09\u4e2a\u5217\uff1aid<\/code>\u3001name<\/code>\u548cage<\/code>\u3002<\/p>\n<\/p>\n
    2. \u63d2\u5165\u6570\u636e<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u63d2\u5165\u5230SQLite\u6570\u636e\u5e93\u4e2d\uff1a<\/p>\n<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    for item in data_list:<\/p>\n
        cursor.execute('''<\/p>\n
        INSERT INTO data (name, age)<\/p>\n
        VALUES (?, ?)<\/p>\n
        ''', (item["name"], item["age"]))<\/p>\n
    conn.commit()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u6570\u636e\u9879\u90fd\u4f1a\u63d2\u5165\u5230data<\/code>\u8868\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u67e5\u8be2\u6570\u636e<\/h4>\n<\/p>\n
    \u4eceSQLite\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u6570\u636e\u5e76\u5b58\u50a8\u5230\u6570\u636e\u5217\u8868\u4e2d\uff1a<\/p>\n<\/p>\n
    cursor.execute('SELECT name, age FROM data')<\/p>\n
    rows = cursor.fetchall()<\/p>\n
    data_list = [{"name": row[0], "age": row[1]} for row in rows]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542b\u6570\u636e\u5e93\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u662f\u4e00\u4e2a\u5b57\u5178\u3002<\/p>\n<\/p>\n
    \u4e94\u3001Pickle\u6a21\u5757\u5b58\u50a8<\/h3>\n<\/p>\n
    Pickle\u6a21\u5757\u662fPython\u7684\u6807\u51c6\u5e93\u4e4b\u4e00\uff0c\u63d0\u4f9b\u4e86\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316Python\u5bf9\u8c61\u7684\u529f\u80fd\uff0c\u9002\u5408\u5b58\u50a8\u590d\u6742\u7684\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n
    1. \u5e8f\u5217\u5316\u6570\u636e<\/h4>\n<\/p>\n
    \u4f7f\u7528pickle.dump<\/code>\u5c06\u6570\u636e\u5217\u8868\u5e8f\u5217\u5316\u5e76\u5199\u5165\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import pickle<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    with open('data.pkl', 'wb') as file:<\/p>\n
        pickle.dump(data_list, file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0cdata_list<\/code>\u88ab\u5e8f\u5217\u5316\u5e76\u5199\u5165\u5230data.pkl<\/code>\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
    2. \u53cd\u5e8f\u5217\u5316\u6570\u636e<\/h4>\n<\/p>\n
    \u4f7f\u7528pickle.load<\/code>\u4ece\u6587\u4ef6\u4e2d\u53cd\u5e8f\u5217\u5316\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import pickle<\/p>\n
    with open('data.pkl', 'rb') as file:<\/p>\n
        data_list = pickle.load(file)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542b\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    \u516d\u3001\u4f7f\u7528HDF5\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
    HDF5\u662f\u4e00\u79cd\u7528\u4e8e\u5b58\u50a8\u548c\u7ba1\u7406\u5927\u89c4\u6a21\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u96c6\u3002Python\u7684h5py<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeHDF5\u6587\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165HDF5\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528h5py<\/code>\u5e93\u5c06\u6570\u636e\u5217\u8868\u5199\u5165HDF5\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import h5py<\/p>\n
    import numpy as np<\/p>\n
    data_list = np.array([{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}], dtype=object)<\/p>\n
    with h5py.File('data.h5', 'w') as file:<\/p>\n
        file.create_dataset('dataset', data=data_list)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u5e76\u5199\u5165\u5230HDF5\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6HDF5\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528h5py<\/code>\u5e93\u4eceHDF5\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import h5py<\/p>\n
    with h5py.File('data.h5', 'r') as file:<\/p>\n
        data_list = file['dataset'][:]<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bHDF5\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    \u4e03\u3001\u4f7f\u7528Excel\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
    Excel\u6587\u4ef6\u662f\u4e00\u79cd\u5e7f\u6cdb\u4f7f\u7528\u7684\u7535\u5b50\u8868\u683c\u6587\u4ef6\u683c\u5f0f\uff0c\u9002\u5408\u5b58\u50a8\u8868\u683c\u6570\u636e\u3002Python\u7684openpyxl<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bfb\u5199Excel\u6587\u4ef6\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528openpyxl<\/code>\u5e93\u5c06\u6570\u636e\u5217\u8868\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    from openpyxl import Workbook<\/p>\n
    data_list = [["name", "age"], ["Alice", 30], ["Bob", 25]]<\/p>\n
    wb = Workbook()<\/p>\n
    ws = wb.active<\/p>\n
    for row in data_list:<\/p>\n
        ws.append(row)<\/p>\n
    wb.save('data.xlsx')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u5b50\u5217\u8868\u4ee3\u8868Excel\u6587\u4ef6\u4e2d\u7684\u4e00\u884c\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528openpyxl<\/code>\u5e93\u4eceExcel\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    from openpyxl import load_workbook<\/p>\n
    wb = load_workbook('data.xlsx')<\/p>\n
    ws = wb.active<\/p>\n
    data_list = []<\/p>\n
    for row in ws.iter_rows(values_only=True):<\/p>\n
        data_list.append(row)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bExcel\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u884c\uff0c\u6bcf\u884c\u662f\u4e00\u4e2a\u5143\u7ec4\u3002<\/p>\n<\/p>\n
    \u516b\u3001\u4f7f\u7528Pandas\u5e93\u5b58\u50a8<\/h3>\n<\/p>\n
    Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u6570\u636e\u96c6\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u5c06\u6570\u636e\u5217\u8868\u5b58\u50a8\u4e3a\u5404\u79cd\u6587\u4ef6\u683c\u5f0f\u3002<\/p>\n<\/p>\n
    1. \u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528Pandas\u5e93\u5c06\u6570\u636e\u5217\u8868\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    df = pd.DataFrame(data_list)<\/p>\n
    df.to_csv('data.csv', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aPandas DataFrame\u5e76\u5199\u5165\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
    2. \u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528Pandas\u5e93\u4eceCSV\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    df = pd.read_csv('data.csv')<\/p>\n
    data_list = df.to_dict(orient='records')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bCSV\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u662f\u4e00\u4e2a\u5b57\u5178\u3002<\/p>\n<\/p>\n
    3. \u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528Pandas\u5e93\u5c06\u6570\u636e\u5217\u8868\u5199\u5165Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    df = pd.DataFrame(data_list)<\/p>\n
    df.to_excel('data.xlsx', index=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aPandas DataFrame\u5e76\u5199\u5165\u5230Excel\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
    4. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528Pandas\u5e93\u4eceExcel\u6587\u4ef6\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import pandas as pd<\/p>\n
    df = pd.read_excel('data.xlsx')<\/p>\n
    data_list = df.to_dict(orient='records')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bExcel\u6587\u4ef6\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u662f\u4e00\u4e2a\u5b57\u5178\u3002<\/p>\n<\/p>\n
    \u4e5d\u3001\u4f7f\u7528Redis\u5b58\u50a8<\/h3>\n<\/p>\n
    Redis\u662f\u4e00\u79cd\u9ad8\u6027\u80fd\u7684\u952e\u503c\u6570\u636e\u5e93\uff0c\u9002\u5408\u5b58\u50a8\u548c\u8bbf\u95ee\u9891\u7e41\u7684\u6570\u636e\u3002Python\u7684redis<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeRedis\u6570\u636e\u5e93\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u8fde\u63a5Redis\u6570\u636e\u5e93<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u8fde\u63a5\u5230Redis\u6570\u636e\u5e93\uff1a<\/p>\n<\/p>\n
    import redis<\/p>\n
    client = redis.StrictRedis(host='localhost', port=6379, db=0)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u8fde\u63a5\u5230\u672c\u5730\u7684Redis\u6570\u636e\u5e93\u3002<\/p>\n<\/p>\n
    2. \u5b58\u50a8\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u5b58\u50a8\u5230Redis\u6570\u636e\u5e93\u4e2d\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    client.set('data_list', json.dumps(data_list))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aJSON\u5b57\u7b26\u4e32\u5e76\u5b58\u50a8\u5230Redis\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u8bfb\u53d6\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u4eceRedis\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    data_list = json.loads(client.get('data_list'))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bRedis\u6570\u636e\u5e93\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    \u5341\u3001\u4f7f\u7528MongoDB\u5b58\u50a8<\/h3>\n<\/p>\n
    MongoDB\u662f\u4e00\u79cdNoSQL\u6570\u636e\u5e93\uff0c\u9002\u5408\u5b58\u50a8\u548c\u5904\u7406\u5927\u89c4\u6a21\u7684\u6587\u6863\u6570\u636e\u3002Python\u7684pymongo<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeMongoDB\u6570\u636e\u5e93\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u8fde\u63a5MongoDB\u6570\u636e\u5e93<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u8fde\u63a5\u5230MongoDB\u6570\u636e\u5e93\uff1a<\/p>\n<\/p>\n
    from pymongo import MongoClient<\/p>\n
    client = MongoClient('localhost', 27017)<\/p>\n
    db = client['mydatabase']<\/p>\n
    collection = db['mycollection']<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u8fde\u63a5\u5230\u672c\u5730\u7684MongoDB\u6570\u636e\u5e93\uff0c\u5e76\u9009\u62e9\u4e00\u4e2a\u6570\u636e\u5e93\u548c\u96c6\u5408\u3002<\/p>\n<\/p>\n
    2. \u63d2\u5165\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u63d2\u5165\u5230MongoDB\u6570\u636e\u5e93\u4e2d\uff1a<\/p>\n<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    collection.insert_many(data_list)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u6570\u636e\u9879\u90fd\u4f1a\u63d2\u5165\u5230MongoDB\u96c6\u5408\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u67e5\u8be2\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u4eceMongoDB\u6570\u636e\u5e93\u4e2d\u67e5\u8be2\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    data_list = list(collection.find({}, {'_id': 0}))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bMongoDB\u96c6\u5408\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u662f\u4e00\u4e2a\u5b57\u5178\uff0c\u5e76\u4e14\u4e0d\u5305\u542b_id<\/code>\u5b57\u6bb5\u3002<\/p>\n<\/p>\n
    \u5341\u4e00\u3001\u4f7f\u7528Firebase\u5b58\u50a8<\/h3>\n<\/p>\n
    Firebase\u662f\u4e00\u79cd\u5b9e\u65f6\u6570\u636e\u5e93\uff0c\u9002\u5408\u6784\u5efa\u5b9e\u65f6\u5e94\u7528\u7a0b\u5e8f\u3002Python\u7684firebase_admin<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeFirebase\u6570\u636e\u5e93\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u521d\u59cb\u5316Firebase<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u521d\u59cb\u5316Firebase\u5e94\u7528\u7a0b\u5e8f\uff1a<\/p>\n<\/p>\n
    import firebase_admin<\/p>\n
    from firebase_admin import credentials, firestore<\/p>\n
    cred = credentials.Certificate('path\/to\/serviceAccountKey.json')<\/p>\n
    firebase_admin.initialize_app(cred)<\/p>\n
    db = firestore.client()<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528\u670d\u52a1\u8d26\u6237\u5bc6\u94a5\u6587\u4ef6\u521d\u59cb\u5316Firebase\u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u83b7\u53d6Firestore\u5ba2\u6237\u7aef\u3002<\/p>\n<\/p>\n
    2. \u5b58\u50a8\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u5b58\u50a8\u5230Firebase Firestore\u4e2d\uff1a<\/p>\n<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    for item in data_list:<\/p>\n
        db.collection('data').add(item)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u4e2d\u7684\u6bcf\u4e2a\u6570\u636e\u9879\u90fd\u4f1a\u6dfb\u52a0\u5230Firestore\u96c6\u5408\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u8bfb\u53d6\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u4eceFirebase Firestore\u4e2d\u8bfb\u53d6\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    data_list = []<\/p>\n
    docs = db.collection('data').stream()<\/p>\n
    for doc in docs:<\/p>\n
        data_list.append(doc.to_dict())<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bFirestore\u96c6\u5408\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\uff0c\u6bcf\u4e2a\u6570\u636e\u9879\u662f\u4e00\u4e2a\u5b57\u5178\u3002<\/p>\n<\/p>\n
    \u5341\u4e8c\u3001\u4f7f\u7528Amazon S3\u5b58\u50a8<\/h3>\n<\/p>\n
    Amazon S3\u662f\u4e00\u79cd\u5bf9\u8c61\u5b58\u50a8\u670d\u52a1\uff0c\u9002\u5408\u5b58\u50a8\u548c\u68c0\u7d22\u4efb\u610f\u6570\u91cf\u7684\u6570\u636e\u3002Python\u7684boto3<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeAmazon S3\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u914d\u7f6eAWS\u51ed\u8bc1<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u914d\u7f6eAWS\u51ed\u8bc1\uff1a<\/p>\n<\/p>\n
    import boto3<\/p>\n
    s3 = boto3.client('s3', aws_access_key_id='YOUR_ACCESS_KEY', aws_secret_access_key='YOUR_SECRET_KEY', region_name='YOUR_REGION')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528AWS\u8bbf\u95ee\u5bc6\u94a5\u548c\u5bc6\u94a5\u521d\u59cb\u5316S3\u5ba2\u6237\u7aef\u3002<\/p>\n<\/p>\n
    2. \u4e0a\u4f20\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u4e0a\u4f20\u5230S3\u5b58\u50a8\u6876\u4e2d\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    s3.put_object(Bucket='your-bucket-name', Key='data.json', Body=json.dumps(data_list))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aJSON\u5b57\u7b26\u4e32\u5e76\u4e0a\u4f20\u5230S3\u5b58\u50a8\u6876\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u4e0b\u8f7d\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u4eceS3\u5b58\u50a8\u6876\u4e2d\u4e0b\u8f7d\u6570\u636e\u5217\u8868\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    response = s3.get_object(Bucket='your-bucket-name', Key='data.json')<\/p>\n
    data_list = json.loads(response['Body'].read().decode('utf-8'))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u6837\uff0cdata_list<\/code>\u5c06\u5305\u542bS3\u5b58\u50a8\u6876\u4e2d\u7684\u6240\u6709\u6570\u636e\u9879\u3002<\/p>\n<\/p>\n
    \u5341\u4e09\u3001\u4f7f\u7528Google Cloud Storage\u5b58\u50a8<\/h3>\n<\/p>\n
    Google Cloud Storage\u662f\u4e00\u79cd\u5bf9\u8c61\u5b58\u50a8\u670d\u52a1\uff0c\u9002\u5408\u5b58\u50a8\u548c\u68c0\u7d22\u4efb\u610f\u6570\u91cf\u7684\u6570\u636e\u3002Python\u7684google-cloud-storage<\/code>\u5e93\u63d0\u4f9b\u4e86\u8bbf\u95eeGoogle Cloud Storage\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
    1. \u521d\u59cb\u5316Google Cloud Storage<\/h4>\n<\/p>\n
    \u9996\u5148\uff0c\u9700\u8981\u521d\u59cb\u5316Google Cloud Storage\u5ba2\u6237\u7aef\uff1a<\/p>\n<\/p>\n
    from google.cloud import storage<\/p>\n
    client = storage.Client.from_service_account_json('path\/to\/serviceAccountKey.json')<\/p>\n
    bucket = client.get_bucket('your-bucket-name')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u4f7f\u7528\u670d\u52a1\u8d26\u6237\u5bc6\u94a5\u6587\u4ef6\u521d\u59cb\u5316Google Cloud Storage\u5ba2\u6237\u7aef\uff0c\u5e76\u83b7\u53d6\u5b58\u50a8\u6876\u3002<\/p>\n<\/p>\n
    2. \u4e0a\u4f20\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u5c06\u6570\u636e\u5217\u8868\u4e0a\u4f20\u5230Google Cloud Storage\u5b58\u50a8\u6876\u4e2d\uff1a<\/p>\n<\/p>\n
    import json<\/p>\n
    data_list = [{"name": "Alice", "age": 30}, {"name": "Bob", "age": 25}]<\/p>\n
    blob = bucket.blob('data.json')<\/p>\n
    blob.upload_from_string(json.dumps(data_list), content_type='application\/json')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6570\u636e\u5217\u8868\u88ab\u8f6c\u6362\u4e3aJSON\u5b57\u7b26\u4e32\u5e76\u4e0a\u4f20\u5230Google Cloud Storage\u5b58\u50a8\u6876\u4e2d\u3002<\/p>\n<\/p>\n
    3. \u4e0b\u8f7d\u6570\u636e\u5217\u8868<\/h4>\n<\/p>\n
    \u4eceGoogle Cloud Storage\u5b58\u50a8\u6876<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python\u4e2d\u5c06\u6570\u636e\u5217\u8868\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u5c06\u6570\u636e\u5217\u8868\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pickle<\/code>\u6a21\u5757\u8fdb\u884c\u5e8f\u5217\u5316\uff0c\u6216\u4f7f\u7528csv<\/code>\u6a21\u5757\u5c06\u5217\u8868\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\u3002\u4f7f\u7528pickle<\/code>\u65f6\uff0c\u53ea\u9700\u8c03\u7528pickle.dump()<\/code>\u5c06\u5217\u8868\u5199\u5165\u6587\u4ef6\uff0c\u800c\u4f7f\u7528csv<\/code>\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7csv.writer()<\/code>\u5c06\u5217\u8868\u6570\u636e\u9010\u884c\u5199\u5165CSV\u6587\u4ef6\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u4f7f\u7528\u573a\u666f\u548c\u540e\u7eed\u9700\u6c42\u3002<\/p>\n
    \u53ef\u4ee5\u5c06Python\u5217\u8868\u4fdd\u5b58\u4e3a\u54ea\u79cd\u683c\u5f0f\u7684\u6570\u636e\uff1f<\/strong>
    Python\u5217\u8868\u53ef\u4ee5\u4fdd\u5b58\u4e3a\u591a\u79cd\u683c\u5f0f\uff0c\u5305\u62ec\u6587\u672c\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u548c\u4e8c\u8fdb\u5236\u6587\u4ef6\u7b49\u3002\u6587\u672c\u6587\u4ef6\u9002\u5408\u5b58\u50a8\u7b80\u5355\u7684\u5b57\u7b26\u4e32\u5217\u8868\uff0c\u800cCSV\u6587\u4ef6\u5219\u9002\u5408\u8868\u683c\u6570\u636e\u3002JSON\u683c\u5f0f\u5219\u9002\u5408\u5b58\u50a8\u5d4c\u5957\u7ed3\u6784\u7684\u6570\u636e\uff0c\u5177\u6709\u826f\u597d\u7684\u53ef\u8bfb\u6027\u548c\u517c\u5bb9\u6027\u3002\u4e8c\u8fdb\u5236\u683c\u5f0f\u5982pickle<\/code>\u53ef\u4ee5\u9ad8\u6548\u5730\u4fdd\u5b58\u590d\u6742\u5bf9\u8c61\u3002<\/p>\n
    \u5982\u4f55\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u5b58\u50a8\u7684Python\u6570\u636e\u5217\u8868\uff1f<\/strong>
    \u8bfb\u53d6\u5b58\u50a8\u7684Python\u6570\u636e\u5217\u8868\u4e5f\u6709\u591a\u79cd\u65b9\u6cd5\u3002\u5bf9\u4e8e\u4f7f\u7528pickle<\/code>\u4fdd\u5b58\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528pickle.load()<\/code>\u4ece\u6587\u4ef6\u4e2d\u6062\u590d\u5217\u8868\u3002\u82e5\u6570\u636e\u4fdd\u5b58\u4e3aCSV\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528csv.reader()<\/code>\u9010\u884c\u8bfb\u53d6\u6570\u636e\u5e76\u6784\u5efa\u5217\u8868\u3002\u5982\u679c\u662fJSON\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528json.load()<\/code>\u5c06\u6570\u636e\u52a0\u8f7d\u4e3aPython\u5bf9\u8c61\u3002\u9009\u62e9\u8bfb\u53d6\u65b9\u6cd5\u65f6\uff0c\u5e94\u786e\u4fdd\u4f7f\u7528\u4e0e\u4fdd\u5b58\u6570\u636e\u76f8\u540c\u7684\u683c\u5f0f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5b58\u50a8\u6570\u636e\u5217\u8868\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001\u5e8f\u5217\u5316\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u6709\uff1a\u4f7f\u7528\u6587\u672c\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001J […]","protected":false},"author":3,"featured_media":1150179,"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\/1150171"}],"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=1150171"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1150171\/revisions"}],"predecessor-version":[{"id":1150182,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1150171\/revisions\/1150182"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1150179"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1150171"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1150171"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1150171"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}