{"id":1122240,"date":"2025-01-08T19:18:27","date_gmt":"2025-01-08T11:18:27","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1122240.html"},"modified":"2025-01-08T19:18:29","modified_gmt":"2025-01-08T11:18:29","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e6%8a%8a%e6%a0%91%e7%ab%8b%e4%b9%8b%e5%90%8e%e7%9a%84%e6%95%b0%e6%8d%ae%e4%bf%9d%e5%ad%98","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1122240.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u628a\u6811\u7acb\u4e4b\u540e\u7684\u6570\u636e\u4fdd\u5b58"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u628a\u6811\u7acb\u4e4b\u540e\u7684\u6570\u636e\u4fdd\u5b58\"<\/p>\n

\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6811\u7acb\u4e4b\u540e\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5185\u7f6e\u7684pickle\u6a21\u5757\u3001\u5229\u7528\u7b2c\u4e09\u65b9\u5e93\u5982Pandas\u3001\u6216\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\u7b49\u591a\u79cd\u65b9\u5f0f<\/strong>\u3002\u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u5f0f\u662f\u4f7f\u7528pickle\u6a21\u5757\uff0c\u56e0\u4e3a\u5b83\u53ef\u4ee5\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316Python\u5bf9\u8c61\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528pickle\u6a21\u5757\u6765\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528pickle\u6a21\u5757<\/h3>\n<\/p>\n

pickle\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u7528\u4e8e\u5e8f\u5217\u5316\u548c\u53cd\u5e8f\u5217\u5316\u5bf9\u8c61\u7684\u5e93\u3002\u5e8f\u5217\u5316\u662f\u5c06\u5bf9\u8c61\u8f6c\u6362\u4e3a\u5b57\u8282\u6d41\u7684\u8fc7\u7a0b\uff0c\u53cd\u5e8f\u5217\u5316\u5219\u662f\u4ece\u5b57\u8282\u6d41\u6062\u590d\u5bf9\u8c61\u7684\u8fc7\u7a0b\u3002pickle\u6a21\u5757\u652f\u6301\u5927\u591a\u6570Python\u6570\u636e\u7c7b\u578b\uff0c\u5305\u62ec\u81ea\u5b9a\u4e49\u7c7b\u7684\u5b9e\u4f8b\u3002\u4ee5\u4e0b\u662f\u5982\u4f55\u4f7f\u7528pickle\u6a21\u5757\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e\u7684\u6b65\u9aa4\u3002<\/p>\n<\/p>\n

1\u3001\u5b89\u88c5\u548c\u5bfc\u5165pickle\u6a21\u5757<\/h4>\n<\/p>\n

pickle\u662fPython\u5185\u7f6e\u6a21\u5757\uff0c\u56e0\u6b64\u65e0\u9700\u989d\u5916\u5b89\u88c5\u3002\u53ef\u4ee5\u76f4\u63a5\u5bfc\u5165\u3002<\/p>\n<\/p>\n

import pickle<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u5e8f\u5217\u5316\u548c\u4fdd\u5b58\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528pickle\u7684dump<\/code>\u65b9\u6cd5\u5c06\u6570\u636e\u5e8f\u5217\u5316\u5e76\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5047\u8bbe\u6709\u4e00\u4e2a\u6570\u636e\u5bf9\u8c61\uff0c\u4f8b\u5982\u4e00\u4e2a\u5b57\u5178<\/p>\n
data = {'key1': 'value1', 'key2': 'value2'}<\/p>\n
\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u6587\u4ef6\u4e2d<\/strong><\/h2>\n
with open('data.pkl', 'wb') as file:<\/p>\n
    pickle.dump(data, file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u52a0\u8f7d\u548c\u53cd\u5e8f\u5217\u5316\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528pickle\u7684load<\/code>\u65b9\u6cd5\u4ece\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6570\u636e\u5e76\u53cd\u5e8f\u5217\u5316\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u4ece\u6587\u4ef6\u4e2d\u52a0\u8f7d\u6570\u636e<\/p>\n
with open('data.pkl', 'rb') as file:<\/p>\n
    loaded_data = pickle.load(file)<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e<\/h3>\n<\/p>\n
Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u5e38\u7528\u4e8e\u6570\u636e\u5206\u6790\u548c\u673a\u5668\u5b66\u4e60<\/a>\u3002Pandas\u652f\u6301\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\u4fdd\u5b58\u548c\u52a0\u8f7d\uff0c\u5305\u62ecCSV\u3001Excel\u3001SQL\u6570\u636e\u5e93\u7b49\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Pandas<\/h4>\n<\/p>\n
# \u5b89\u88c5Pandas<\/p>\n
pip install pandas<\/p>\n
\u5bfc\u5165Pandas<\/strong><\/h2>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4fdd\u5b58\u6570\u636e\u5230CSV\u6587\u4ef6<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pandas\u7684to_csv<\/code>\u65b9\u6cd5\u5c06DataFrame\u4fdd\u5b58\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n
# \u521b\u5efa\u4e00\u4e2aDataFrame<\/p>\n
data = {'key1': ['value1', 'value2'], 'key2': ['value3', 'value4']}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u5c06DataFrame\u4fdd\u5b58\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('data.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4eceCSV\u6587\u4ef6\u52a0\u8f7d\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528Pandas\u7684read_csv<\/code>\u65b9\u6cd5\u4eceCSV\u6587\u4ef6\u52a0\u8f7d\u6570\u636e\u3002<\/p>\n<\/p>\n
# \u4eceCSV\u6587\u4ef6\u52a0\u8f7dDataFrame<\/p>\n
df_loaded = pd.read_csv('data.csv')<\/p>\n
print(df_loaded)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d<\/h3>\n<\/p>\n
\u5c06\u6570\u636e\u5b58\u50a8\u5230\u6570\u636e\u5e93\u4e2d\u662f\u53e6\u4e00\u79cd\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u5c24\u5176\u662f\u5f53\u6570\u636e\u91cf\u8f83\u5927\u6216\u9700\u8981\u9891\u7e41\u67e5\u8be2\u65f6\u3002\u53ef\u4ee5\u4f7f\u7528SQLite\u3001MySQL\u3001PostgreSQL\u7b49\u6570\u636e\u5e93\u7cfb\u7edf\u3002\u8fd9\u91cc\u4ee5SQLite\u4e3a\u4f8b\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165SQLite<\/h4>\n<\/p>\n
SQLite\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u5d4c\u5165\u5f0f\u5173\u7cfb\u578b\u6570\u636e\u5e93\uff0cPython\u5185\u7f6e\u652f\u6301SQLite\u3002<\/p>\n<\/p>\n
# \u5bfc\u5165SQLite<\/p>\n
import sqlite3<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u521b\u5efa\u6570\u636e\u5e93\u548c\u8868<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528SQLite\u7684connect<\/code>\u65b9\u6cd5\u521b\u5efa\u6570\u636e\u5e93\uff0c\u5e76\u4f7f\u7528execute<\/code>\u65b9\u6cd5\u521b\u5efa\u8868\u3002<\/p>\n<\/p>\n
# \u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93\uff08\u5982\u679c\u6570\u636e\u5e93\u4e0d\u5b58\u5728\u4f1a\u81ea\u52a8\u521b\u5efa\uff09<\/p>\n
conn = sqlite3.connect('data.db')<\/p>\n
\u521b\u5efa\u4e00\u4e2aCursor\u5bf9\u8c61<\/strong><\/h2>\n
cursor = conn.cursor()<\/p>\n
\u521b\u5efa\u8868<\/strong><\/h2>\n
cursor.execute('''CREATE TABLE IF NOT EXISTS data (key TEXT, value TEXT)''')<\/p>\n
\u63d0\u4ea4\u66f4\u6539<\/strong><\/h2>\n
conn.commit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u63d2\u5165\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528execute<\/code>\u65b9\u6cd5\u63d2\u5165\u6570\u636e\u5230\u8868\u4e2d\u3002<\/p>\n<\/p>\n
# \u63d2\u5165\u6570\u636e<\/p>\n
cursor.execute("INSERT INTO data (key, value) VALUES (?, ?)", ('key1', 'value1'))<\/p>\n
\u63d0\u4ea4\u66f4\u6539<\/strong><\/h2>\n
conn.commit()<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u67e5\u8be2\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528execute<\/code>\u65b9\u6cd5\u67e5\u8be2\u6570\u636e\uff0c\u5e76\u4f7f\u7528fetchall<\/code>\u65b9\u6cd5\u83b7\u53d6\u7ed3\u679c\u3002<\/p>\n<\/p>\n
# \u67e5\u8be2\u6570\u636e<\/p>\n
cursor.execute("SELECT * FROM data")<\/p>\n
\u83b7\u53d6\u6240\u6709\u7ed3\u679c<\/strong><\/h2>\n
rows = cursor.fetchall()<\/p>\n
for row in rows:<\/p>\n
    print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5176\u4ed6\u6570\u636e\u4fdd\u5b58\u548c\u52a0\u8f7d\u65b9\u6cd5<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u65b9\u6cd5\u5916\uff0c\u8fd8\u6709\u5176\u4ed6\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e\uff0c\u4f8b\u5982\u4f7f\u7528JSON\u3001HDF5\u3001SQLAlchemy\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528JSON\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e<\/h4>\n<\/p>\n
JSON\u662f\u4e00\u79cd\u5e38\u7528\u7684\u6570\u636e\u4ea4\u6362\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u4fdd\u5b58\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n
import json<\/p>\n
\u4fdd\u5b58\u6570\u636e\u5230JSON\u6587\u4ef6<\/strong><\/h2>\n
data = {'key1': 'value1', 'key2': 'value2'}<\/p>\n
with open('data.json', 'w') as file:<\/p>\n
    json.dump(data, file)<\/p>\n
\u4eceJSON\u6587\u4ef6\u52a0\u8f7d\u6570\u636e<\/strong><\/h2>\n
with open('data.json', 'r') as file:<\/p>\n
    loaded_data = json.load(file)<\/p>\n
print(loaded_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528HDF5\u4fdd\u5b58\u548c\u52a0\u8f7d\u6570\u636e<\/h4>\n<\/p>\n
HDF5\u662f\u4e00\u79cd\u9002\u7528\u4e8e\u5b58\u50a8\u5927\u89c4\u6a21\u6570\u636e\u7684\u6587\u4ef6\u683c\u5f0f\uff0c\u652f\u6301\u9ad8\u6548\u7684\u8bfb\u53d6\u548c\u5199\u5165\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
import h5py<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efaHDF5\u6587\u4ef6\u5e76\u4fdd\u5b58\u6570\u636e<\/strong><\/h2>\n
with h5py.File('data.h5', 'w') as file:<\/p>\n
    file.create_dataset('dataset', data=np.arange(100))<\/p>\n
\u4eceHDF5\u6587\u4ef6\u52a0\u8f7d\u6570\u636e<\/strong><\/h2>\n
with h5py.File('data.h5', 'r') as file:<\/p>\n
    data = file['dataset'][:]<\/p>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u7ed3\u8bba<\/h3>\n<\/p>\n
\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6811\u7acb\u4e4b\u540e\u7684\u6570\u636e\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4f9b\u9009\u62e9\uff0c\u5305\u62ec\u4f7f\u7528pickle\u6a21\u5757\u3001Pandas\u5e93\u3001\u6570\u636e\u5e93\u5b58\u50a8\u3001JSON\u683c\u5f0f\u3001HDF5\u683c\u5f0f\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53d6\u51b3\u4e8e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u7c7b\u578b\u3002\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u5e0c\u671b\u60a8\u80fd\u591f\u6839\u636e\u81ea\u5df1\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u4fdd\u5b58\u548c\u52a0\u8f7d\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4fdd\u5b58\u6811\u7acb\u540e\u7684\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u4fdd\u5b58\u6811\u7acb\u540e\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u5b9e\u73b0\u3002\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528pickle\u6a21\u5757\u5c06\u5bf9\u8c61\u5e8f\u5217\u5316\u4e3a\u4e8c\u8fdb\u5236\u683c\u5f0f\uff0c\u6216\u4f7f\u7528json\u6a21\u5757\u4ee5\u53ef\u8bfb\u7684\u6587\u672c\u683c\u5f0f\u4fdd\u5b58\u6570\u636e\u3002\u5177\u4f53\u9009\u62e9\u53d6\u51b3\u4e8e\u6570\u636e\u7684\u590d\u6742\u6027\u548c\u540e\u7eed\u7684\u4f7f\u7528\u9700\u6c42\u3002<\/p>\n
\u4f7f\u7528pickle\u4fdd\u5b58\u6570\u636e\u7684\u6b65\u9aa4\u662f\u4ec0\u4e48\uff1f<\/strong>
\u4f7f\u7528pickle\u6a21\u5757\u4fdd\u5b58\u6570\u636e\u7684\u8fc7\u7a0b\u76f8\u5bf9\u7b80\u5355\u3002\u9996\u5148\uff0c\u5bfc\u5165pickle\u6a21\u5757\u3002\u7136\u540e\uff0c\u6253\u5f00\u4e00\u4e2a\u6587\u4ef6\u4ee5\u5199\u5165\u6a21\u5f0f\uff0c\u4f7f\u7528pickle.dump()\u51fd\u6570\u5c06\u6570\u636e\u5199\u5165\u6587\u4ef6\u3002\u6700\u540e\uff0c\u5173\u95ed\u6587\u4ef6\u4ee5\u786e\u4fdd\u6570\u636e\u5b8c\u6574\u4fdd\u5b58\u3002\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528pickle.load()\u51fd\u6570\u3002<\/p>\n
json\u683c\u5f0f\u4fdd\u5b58\u6570\u636e\u7684\u4f18\u52bf\u6709\u54ea\u4e9b\uff1f<\/strong>
\u4f7f\u7528json\u683c\u5f0f\u4fdd\u5b58\u6570\u636e\u7684\u4e3b\u8981\u4f18\u52bf\u5728\u4e8e\u5176\u53ef\u8bfb\u6027\u548c\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u3002json\u6587\u4ef6\u53ef\u4ee5\u88ab\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u89e3\u6790\uff0c\u56e0\u6b64\u9002\u5408\u4e0e\u5176\u4ed6\u7cfb\u7edf\u8fdb\u884c\u6570\u636e\u4ea4\u6362\u3002\u6b64\u5916\uff0cjson\u683c\u5f0f\u5bf9\u4e8e\u7b80\u5355\u7684\u6570\u636e\u7ed3\u6784\uff08\u5982\u5b57\u5178\u548c\u5217\u8868\uff09\u975e\u5e38\u53cb\u597d\uff0c\u6613\u4e8e\u7406\u89e3\u548c\u4fee\u6539\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u6570\u636e\u5e93\u4e2d\uff1f<\/strong>
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