{"id":1163940,"date":"2025-01-15T15:00:50","date_gmt":"2025-01-15T07:00:50","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1163940.html"},"modified":"2025-01-15T15:00:53","modified_gmt":"2025-01-15T07:00:53","slug":"python%e5%a6%82%e4%bd%95%e4%bf%9d%e5%ad%98%e5%8f%98%e9%87%8f%e5%80%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1163940.html","title":{"rendered":"python\u5982\u4f55\u4fdd\u5b58\u53d8\u91cf\u503c"},"content":{"rendered":"

\"python\u5982\u4f55\u4fdd\u5b58\u53d8\u91cf\u503c\"<\/p>\n

Python\u4fdd\u5b58\u53d8\u91cf\u503c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001\u5e8f\u5217\u5316\u7b49\u65b9\u5f0f\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u6709\uff1a\u6587\u4ef6\u5b58\u50a8\u3001pickle\u6a21\u5757\u3001json\u6a21\u5757\u3001\u6570\u636e\u5e93\uff08\u5982SQLite\uff09\u3002<\/strong><\/p>\n<\/p>\n

\u5176\u4e2d\uff0c\u4f7f\u7528pickle\u6a21\u5757<\/strong>\u662f\u4e00\u4e2a\u975e\u5e38\u5e38\u89c1\u4e14\u65b9\u4fbf\u7684\u65b9\u6cd5\u3002pickle\u6a21\u5757\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\u5e76\u5b58\u50a8\u5230\u6587\u4ef6\u4e2d\uff0c\u7136\u540e\u5728\u9700\u8981\u65f6\u53cd\u5e8f\u5217\u5316\u8bfb\u53d6\u56de\u6765\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pickle\u6a21\u5757\u6765\u4fdd\u5b58\u53d8\u91cf\u503c\u3002<\/p>\n<\/p>\n

\u4e00\u3001PICKLE\u6a21\u5757<\/h3>\n<\/p>\n

1.1\u3001\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316<\/h4>\n<\/p>\n

Pickle\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u65b9\u6cd5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\u5230\u6587\u4ef6\u4e2d\uff0c\u5e76\u5728\u9700\u8981\u65f6\u53cd\u5e8f\u5217\u5316\u56de\u6765\u3002\u5e8f\u5217\u5316\u662f\u6307\u5c06\u5bf9\u8c61\u8f6c\u6362\u4e3a\u5b57\u8282\u6d41\u7684\u8fc7\u7a0b\uff0c\u53cd\u5e8f\u5217\u5316\u662f\u6307\u5c06\u5b57\u8282\u6d41\u8f6c\u6362\u56de\u5bf9\u8c61\u7684\u8fc7\u7a0b\u3002<\/p>\n<\/p>\n

import pickle<\/p>\n
\u5e8f\u5217\u5316<\/strong><\/h2>\n
def save_variable(var, filename):<\/p>\n
    with open(filename, 'wb') as f:<\/p>\n
        pickle.dump(var, f)<\/p>\n
\u53cd\u5e8f\u5217\u5316<\/strong><\/h2>\n
def load_variable(filename):<\/p>\n
    with open(filename, 'rb') as f:<\/p>\n
        return pickle.load(f)<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = {'name': 'John', 'age': 30, 'is_student': False}<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable(data, 'data.pkl')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable('data.pkl')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001JSON\u6a21\u5757<\/h3>\n<\/p>\n
2.1\u3001\u4fdd\u5b58\u4e3aJSON\u6587\u4ef6<\/h4>\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\u7c7b\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u4e5f\u6613\u4e8e\u673a\u5668\u89e3\u6790\u548c\u751f\u6210\u3002Python\u7684json\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06Python\u5bf9\u8c61\u8f6c\u6362\u4e3aJSON\u683c\u5f0f\uff0c\u5e76\u5b58\u50a8\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_json(var, filename):<\/p>\n
    with open(filename, 'w') as f:<\/p>\n
        json.dump(var, f)<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_json(filename):<\/p>\n
    with open(filename, 'r') as f:<\/p>\n
        return json.load(f)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = {'name': 'John', 'age': 30, 'is_student': False}<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_json(data, 'data.json')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_json('data.json')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u6587\u4ef6\u5b58\u50a8<\/h3>\n<\/p>\n
3.1\u3001\u6587\u672c\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u5c06\u53d8\u91cf\u503c\u76f4\u63a5\u5b58\u50a8\u4e3a\u6587\u672c\u6587\u4ef6\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u636e\u7c7b\u578b\uff0c\u5982\u5b57\u7b26\u4e32\u3001\u6574\u6570\u7b49\u3002<\/p>\n<\/p>\n
# \u4fdd\u5b58\u53d8\u91cf<\/p>\n
def save_variable_txt(var, filename):<\/p>\n
    with open(filename, 'w') as f:<\/p>\n
        f.write(str(var))<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_txt(filename):<\/p>\n
    with open(filename, 'r') as f:<\/p>\n
        return f.read()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = "Hello, world!"<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_txt(data, 'data.txt')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_txt('data.txt')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6570\u636e\u5e93\u5b58\u50a8<\/h3>\n<\/p>\n
4.1\u3001SQLite\u6570\u636e\u5e93<\/h4>\n<\/p>\n
SQLite\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u5d4c\u5165\u5f0f\u5173\u7cfb\u6570\u636e\u5e93\uff0c\u9002\u7528\u4e8e\u5b58\u50a8\u7ed3\u6784\u5316\u6570\u636e\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684sqlite3\u6a21\u5757\u5c06\u53d8\u91cf\u5b58\u50a8\u5230SQLite\u6570\u636e\u5e93\u4e2d\u3002<\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u521b\u5efa\u6570\u636e\u5e93\u5e76\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_db(var, db_name, table_name):<\/p>\n
    conn = sqlite3.connect(db_name)<\/p>\n
    c = conn.cursor()<\/p>\n
    c.execute(f"CREATE TABLE IF NOT EXISTS {table_name} (id INTEGER PRIMARY KEY, value BLOB)")<\/p>\n
    c.execute(f"INSERT INTO {table_name} (value) VALUES (?)", (pickle.dumps(var),))<\/p>\n
    conn.commit()<\/p>\n
    conn.close()<\/p>\n
\u8bfb\u53d6\u6570\u636e\u5e93\u4e2d\u7684\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_db(db_name, table_name, var_id):<\/p>\n
    conn = sqlite3.connect(db_name)<\/p>\n
    c = conn.cursor()<\/p>\n
    c.execute(f"SELECT value FROM {table_name} WHERE id=?", (var_id,))<\/p>\n
    var = c.fetchone()[0]<\/p>\n
    conn.close()<\/p>\n
    return pickle.loads(var)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = {'name': 'John', 'age': 30, 'is_student': False}<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_db(data, 'data.db', 'variables')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_db('data.db', 'variables', 1)<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528SHELVE\u6a21\u5757<\/h3>\n<\/p>\n
5.1\u3001\u7b80\u4ecb<\/h4>\n<\/p>\n
Shelve\u6a21\u5757\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7b80\u5355\u7684\u6301\u4e45\u5316\u5b58\u50a8\u65b9\u6848\uff0c\u53ef\u4ee5\u5c06\u591a\u4e2aPython\u5bf9\u8c61\u5b58\u50a8\u5230\u4e00\u4e2a\u6587\u4ef6\u4e2d\u3002\u5b83\u7684\u4f7f\u7528\u65b9\u6cd5\u7c7b\u4f3c\u4e8e\u5b57\u5178\uff0c\u4f46\u6570\u636e\u662f\u6301\u4e45\u5316\u5b58\u50a8\u7684\u3002<\/p>\n<\/p>\n
import shelve<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_shelve(var, filename, key):<\/p>\n
    with shelve.open(filename) as db:<\/p>\n
        db[key] = var<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_shelve(filename, key):<\/p>\n
    with shelve.open(filename) as db:<\/p>\n
        return db[key]<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = {'name': 'John', 'age': 30, 'is_student': False}<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_shelve(data, 'data_shelve', 'data')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_shelve('data_shelve', 'data')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u4f7f\u7528HDF5\u683c\u5f0f<\/h3>\n<\/p>\n
6.1\u3001\u7b80\u4ecb<\/h4>\n<\/p>\n
HDF5\uff08Hierarchical Data Format version 5\uff09\u662f\u4e00\u79cd\u7528\u4e8e\u5b58\u50a8\u548c\u7ec4\u7ec7\u5927\u89c4\u6a21\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\u3002\u5b83\u7279\u522b\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u5927\u6570\u636e\u5b58\u50a8\u3002Python\u7684h5py\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06\u6570\u636e\u5b58\u50a8\u5230HDF5\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
import h5py<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_hdf5(var, filename, dataset_name):<\/p>\n
    with h5py.File(filename, 'w') as f:<\/p>\n
        f.create_dataset(dataset_name, data=var)<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_hdf5(filename, dataset_name):<\/p>\n
    with h5py.File(filename, 'r') as f:<\/p>\n
        return f[dataset_name][:]<\/p>\n
<\/code><\/pre>\n<\/p>\n
6.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
import numpy as np<\/p>\n
\u793a\u4f8b\u53d8\u91cf<\/strong><\/h2>\n
data = np.array([1, 2, 3, 4, 5])<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_hdf5(data, 'data.h5', 'dataset')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_hdf5('data.h5', 'dataset')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001YAML\u683c\u5f0f<\/h3>\n<\/p>\n
7.1\u3001\u7b80\u4ecb<\/h4>\n<\/p>\n
YAML\uff08YAML AI<\/a>n't Markup Language\uff09\u662f\u4e00\u79cd\u6613\u4e8e\u4eba\u7c7b\u9605\u8bfb\u7684\u6570\u636e\u5e8f\u5217\u5316\u683c\u5f0f\u3002Python\u7684PyYAML\u6a21\u5757\u53ef\u4ee5\u65b9\u4fbf\u5730\u5c06Python\u5bf9\u8c61\u8f6c\u6362\u4e3aYAML\u683c\u5f0f\uff0c\u5e76\u5b58\u50a8\u5230\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
import yaml<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_yaml(var, filename):<\/p>\n
    with open(filename, 'w') as f:<\/p>\n
        yaml.dump(var, f)<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_yaml(filename):<\/p>\n
    with open(filename, 'r') as f:<\/p>\n
        return yaml.load(f, Loader=yaml.FullLoader)<\/p>\n
<\/code><\/pre>\n<\/p>\n
7.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = {'name': 'John', 'age': 30, 'is_student': False}<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_yaml(data, 'data.yaml')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_yaml('data.yaml')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u4f7f\u7528NumPy\u4fdd\u5b58\u6570\u7ec4<\/h3>\n<\/p>\n
8.1\u3001\u7b80\u4ecb<\/h4>\n<\/p>\n
NumPy\u662f\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u7684\u4e00\u4e2a\u57fa\u7840\u5e93\uff0c\u63d0\u4f9b\u4e86\u5bf9\u6570\u7ec4\u548c\u77e9\u9635\u7684\u652f\u6301\u3002NumPy\u63d0\u4f9b\u4e86\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u7ec4\u7684\u4fbf\u6377\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_numpy(var, filename):<\/p>\n
    np.save(filename, var)<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_numpy(filename):<\/p>\n
    return np.load(filename + '.npy')<\/p>\n
<\/code><\/pre>\n<\/p>\n
8.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = np.array([1, 2, 3, 4, 5])<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_numpy(data, 'data')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_numpy('data')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e5d\u3001\u4f7f\u7528Pandas\u4fdd\u5b58\u6570\u636e<\/h3>\n<\/p>\n
9.1\u3001\u7b80\u4ecb<\/h4>\n<\/p>\n
Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u64cd\u4f5c\u5e93\uff0c\u63d0\u4f9b\u4e86\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e\u6846\u7684\u65b9\u6cd5\u3002Pandas\u53ef\u4ee5\u5c06\u6570\u636e\u5b58\u50a8\u4e3aCSV\u3001Excel\u3001HDF5\u7b49\u591a\u79cd\u683c\u5f0f\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
def save_variable_pandas(var, filename):<\/p>\n
    var.to_csv(filename, index=False)<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
def load_variable_pandas(filename):<\/p>\n
    return pd.read_csv(filename)<\/p>\n
<\/code><\/pre>\n<\/p>\n
9.2\u3001\u793a\u4f8b<\/h4>\n<\/p>\n
# \u793a\u4f8b\u53d8\u91cf<\/p>\n
data = pd.DataFrame({'name': ['John', 'Alice'], 'age': [30, 25], 'is_student': [False, True]})<\/p>\n
\u4fdd\u5b58\u53d8\u91cf<\/strong><\/h2>\n
save_variable_pandas(data, 'data.csv')<\/p>\n
\u8bfb\u53d6\u53d8\u91cf<\/strong><\/h2>\n
loaded_data = load_variable_pandas('data.csv')<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5341\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u7efc\u4e0a\u6240\u8ff0\uff0cPython\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u4fdd\u5b58\u53d8\u91cf\u503c\uff0c\u5305\u62ec\u6587\u4ef6\u5b58\u50a8\u3001\u5e8f\u5217\u5316\u3001\u6570\u636e\u5e93\u5b58\u50a8\u7b49\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u7f3a\u70b9\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u6765\u51b3\u5b9a\uff1a<\/p>\n<\/p>\n
    \n
  • \u6587\u4ef6\u5b58\u50a8<\/strong>\uff1a\u9002\u7528\u4e8e\u7b80\u5355\u7684\u6570\u636e\u7c7b\u578b\u548c\u5c0f\u89c4\u6a21\u6570\u636e\u3002<\/li>\n
  • pickle\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u4fdd\u5b58\u590d\u6742\u7684Python\u5bf9\u8c61\u3002<\/li>\n
  • json\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u4fdd\u5b58\u548c\u4ea4\u6362\u7ed3\u6784\u5316\u6570\u636e\uff0c\u6613\u4e8e\u9605\u8bfb\u548c\u89e3\u6790\u3002<\/li>\n
  • SQLite\u6570\u636e\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u5b58\u50a8\u7ed3\u6784\u5316\u6570\u636e\uff0c\u652f\u6301\u590d\u6742\u67e5\u8be2\u64cd\u4f5c\u3002<\/li>\n
  • shelve\u6a21\u5757<\/strong>\uff1a\u9002\u7528\u4e8e\u6301\u4e45\u5316\u5b58\u50a8\u591a\u4e2aPython\u5bf9\u8c61\u3002<\/li>\n
  • HDF5\u683c\u5f0f<\/strong>\uff1a\u9002\u7528\u4e8e\u5927\u89c4\u6a21\u79d1\u5b66\u8ba1\u7b97\u6570\u636e\u5b58\u50a8\u3002<\/li>\n
  • YAML\u683c\u5f0f<\/strong>\uff1a\u9002\u7528\u4e8e\u4eba\u7c7b\u53ef\u8bfb\u7684\u6570\u636e\u5e8f\u5217\u5316\u3002<\/li>\n
  • NumPy<\/strong>\uff1a\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u4e2d\u7684\u6570\u7ec4\u548c\u77e9\u9635\u5b58\u50a8\u3002<\/li>\n
  • Pandas<\/strong>\uff1a\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u6570\u636e\u64cd\u4f5c\u4e2d\u7684\u6570\u636e\u5b58\u50a8\u3002<\/li>\n<\/ul>\n
    \u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5b58\u50a8\u65b9\u5f0f\uff0c\u80fd\u591f\u6709\u6548\u5730\u4fdd\u5b58\u548c\u7ba1\u7406Python\u53d8\u91cf\u503c\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python\u4e2d\u6301\u4e45\u5316\u5b58\u50a8\u53d8\u91cf\u503c\u4ee5\u4fbf\u4e0b\u6b21\u4f7f\u7528\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u6301\u4e45\u5316\u5b58\u50a8\u53d8\u91cf\u503c\u901a\u5e38\u53ef\u4ee5\u901a\u8fc7\u5c06\u5176\u5199\u5165\u6587\u4ef6\u5b9e\u73b0\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528\u6587\u672c\u6587\u4ef6\u3001CSV\u6587\u4ef6\u3001JSON\u6587\u4ef6\u6216\u6570\u636e\u5e93\u3002\u901a\u8fc7\u4f7f\u7528pickle<\/code>\u6a21\u5757\uff0c\u60a8\u53ef\u4ee5\u5c06Python\u5bf9\u8c61\u5e8f\u5217\u5316\u5230\u6587\u4ef6\u4e2d\uff0c\u4fbf\u4e8e\u4e0b\u6b21\u8bfb\u53d6\u548c\u4f7f\u7528\u3002<\/p>\n
    \u4f7f\u7528JSON\u683c\u5f0f\u4fdd\u5b58\u6570\u636e\u6709\u4ec0\u4e48\u4f18\u52bf\uff1f<\/strong>
    JSON\u683c\u5f0f\u662f\u4e00\u79cd\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u6613\u4e8e\u4eba\u7c7b\u9605\u8bfb\u548c\u7f16\u5199\uff0c\u4e5f\u5bb9\u6613\u88ab\u673a\u5668\u89e3\u6790\u548c\u751f\u6210\u3002\u5728Python\u4e2d\uff0c\u4f7f\u7528json<\/code>\u6a21\u5757\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5b57\u5178\u6216\u5217\u8868\u7b49\u6570\u636e\u7ed3\u6784\u4fdd\u5b58\u4e3aJSON\u6587\u4ef6\uff0c\u65b9\u4fbf\u5728\u4e0d\u540c\u7684\u7f16\u7a0b\u73af\u5883\u4e2d\u5171\u4eab\u548c\u4f7f\u7528\u3002<\/p>\n
    \u5982\u4f55\u8bfb\u53d6\u548c\u6062\u590d\u4fdd\u5b58\u7684\u53d8\u91cf\u503c\uff1f<\/strong>
    \u8981\u8bfb\u53d6\u548c\u6062\u590d\u4fdd\u5b58\u7684\u53d8\u91cf\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e0e\u4fdd\u5b58\u65f6\u76f8\u540c\u7684\u65b9\u6cd5\u3002\u4f8b\u5982\uff0c\u5982\u679c\u4f7f\u7528pickle<\/code>\u4fdd\u5b58\u4e86\u53d8\u91cf\uff0c\u53ef\u4ee5\u901a\u8fc7pickle.load()<\/code>\u51fd\u6570\u4ece\u6587\u4ef6\u4e2d\u8bfb\u53d6\u5e76\u6062\u590d\u5bf9\u8c61\u3002\u5982\u679c\u4f7f\u7528JSON\u683c\u5f0f\uff0c\u5219\u53ef\u4ee5\u4f7f\u7528json.load()<\/code>\u4eceJSON\u6587\u4ef6\u4e2d\u8bfb\u53d6\u6570\u636e\u5e76\u5c06\u5176\u8f6c\u5316\u4e3aPython\u5bf9\u8c61\u3002\u8fd9\u6837\uff0c\u60a8\u5c31\u80fd\u591f\u5728\u9700\u8981\u65f6\u6062\u590d\u4e4b\u524d\u4fdd\u5b58\u7684\u53d8\u91cf\u503c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4fdd\u5b58\u53d8\u91cf\u503c\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u3001\u6570\u636e\u5e93\u3001\u5e8f\u5217\u5316\u7b49\u65b9\u5f0f\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u6709\uff1a\u6587\u4ef6\u5b58\u50a8\u3001pickle\u6a21 […]","protected":false},"author":3,"featured_media":1163946,"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\/1163940"}],"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=1163940"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1163940\/revisions"}],"predecessor-version":[{"id":1163952,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1163940\/revisions\/1163952"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1163946"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1163940"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1163940"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1163940"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}