![\"python\u5982\u4f55\u62bd\u6570\u636e\"](\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24211347\/2b75b33d-5ba9-4f81-9218-3ad828934af3.webp\")
<\/p>\n<\/p>\n
Python\u5982\u4f55\u62bd\u6570\u636e\uff1f\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5e93\u5982Pandas\u3001SQLite\u3001SQLAlchemy\u7b49\uff0c\u65b9\u4fbf\u5730\u4ece\u5404\u79cd\u6570\u636e\u6e90\u4e2d\u63d0\u53d6\u6570\u636e\u3002Pandas\u53ef\u4ee5\u5904\u7406CSV\u3001Excel\u7b49\u6587\u4ef6\uff0cSQLite\u548cSQLAlchemy\u5219\u9002\u7528\u4e8e\u4ece\u6570\u636e\u5e93\u4e2d\u63d0\u53d6\u6570\u636e\u3002<\/strong>\u5176\u4e2d\uff0cPandas \u662f\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u9002\u5408\u5927\u591a\u6570\u65e5\u5e38\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5229\u7528\u8fd9\u4e9b\u5de5\u5177\u5728Python\u4e2d\u62bd\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n \u4e00\u3001PANDAS\u5904\u7406\u7ed3\u6784\u5316\u6587\u4ef6\u6570\u636e<\/p>\n<\/p>\n Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u4eceCSV\u3001Excel\u548c\u5176\u4ed6\u7ed3\u6784\u5316\u6587\u4ef6\u4e2d\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n Pandas\u63d0\u4f9b\u4e86 df = pd.read_csv('your_file.csv')<\/p>\n print(df.head())<\/p>\n <\/code><\/pre>\n<\/p>\n \u4e0a\u8ff0\u4ee3\u7801\u4f1a\u8bfb\u53d6 Pandas\u540c\u6837\u652f\u6301Excel\u6587\u4ef6\u7684\u8bfb\u53d6\uff0c\u4f7f\u7528 print(df.head())<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u6307\u5b9a \u5728\u52a0\u8f7d\u6570\u636e\u540e\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u5bf9DataFrame\u8fdb\u884c\u8fc7\u6ee4\u548c\u9009\u62e9\u3002Pandas\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u6cd5\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u4f8b\u5982\u6761\u4ef6\u7b5b\u9009\u3001\u7d22\u5f15\u548c\u5207\u7247\u3002<\/p>\n<\/p>\n filtered_df = df[df['column_name'] > threshold]<\/p>\n <\/code><\/pre>\n<\/p>\n \u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u4f60\u5feb\u901f\u4ece\u5927\u6570\u636e\u96c6\u4e2d\u63d0\u53d6\u51fa\u611f\u5174\u8da3\u7684\u90e8\u5206\u3002<\/p>\n<\/p>\n \u4e8c\u3001\u4f7f\u7528SQL\u67e5\u8be2\u6570\u636e\u5e93\u6570\u636e<\/p>\n<\/p>\n \u5bf9\u4e8e\u4ece\u6570\u636e\u5e93\u4e2d\u62bd\u53d6\u6570\u636e\uff0cPython\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u5de5\u5177\uff0c\u5982SQLite\u548cSQLAlchemy\u3002<\/p>\n<\/p>\n SQLite\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u6570\u636e\u5e93\u5f15\u64ce\uff0c\u9002\u5408\u5c0f\u578b\u5230\u4e2d\u578b\u7684\u6570\u636e\u5e93\u5e94\u7528\u3002Python\u6807\u51c6\u5e93\u81ea\u5e26SQLite\u63a5\u53e3\uff0c\u4f7f\u7528\u65b9\u4fbf\u3002<\/p>\n<\/p>\n conn = sqlite3.connect('your_database.db')<\/p>\n query = "SELECT * FROM your_table"<\/p>\n df = pd.read_sql_query(query, conn)<\/p>\n conn.close()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06SQLite\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230Pandas DataFrame\u4e2d\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684ORM\u5de5\u5177\uff0c\u652f\u6301\u591a\u79cd\u6570\u636e\u5e93\u7c7b\u578b\uff0c\u5305\u62ecMySQL\u3001PostgreSQL\u7b49\u3002<\/p>\n<\/p>\n engine = create_engine('dialect+driver:\/\/user:pass@host\/dbname')<\/p>\n query = "SELECT * FROM your_table"<\/p>\n df = pd.read_sql_query(query, engine)<\/p>\n <\/code><\/pre>\n<\/p>\n SQLAlchemy\u63d0\u4f9b\u4e86\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\uff0c\u5982\u81ea\u52a8\u5904\u7406\u8fde\u63a5\u6c60\u3001\u4e8b\u52a1\u7ba1\u7406\u7b49\uff0c\u662f\u5904\u7406\u590d\u6742\u6570\u636e\u5e93\u5e94\u7528\u7684\u7406\u60f3\u9009\u62e9\u3002<\/p>\n<\/p>\n \u4e09\u3001\u901a\u8fc7API\u62bd\u53d6\u7f51\u7edc\u6570\u636e<\/p>\n<\/p>\n \u9664\u4e86\u6587\u4ef6\u548c\u6570\u636e\u5e93\uff0cPython\u8fd8\u53ef\u4ee5\u901a\u8fc7API\u4ece\u7f51\u7edc\u4e0a\u62bd\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n Requests\u662f\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684HTTP\u5e93\uff0c\u9002\u5408\u4eceRESTful API\u4e2d\u63d0\u53d6\u6570\u636e\u3002<\/p>\n<\/p>\n response = requests.get('https:\/\/api.example.com\/data')<\/p>\n data = response.json()<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u4ece\u7f51\u7edc\u63a5\u53e3\u83b7\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u5176\u8f6c\u5316\u4e3aPython\u5bf9\u8c61\u8fdb\u884c\u5206\u6790\u3002<\/p>\n<\/p>\n \u8bb8\u591aAPI\u8fd4\u56de\u7684\u6570\u636e\u683c\u5f0f\u4e3aJSON\uff0cPandas\u63d0\u4f9b\u4e86\u5904\u7406JSON\u6570\u636e\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n <\/code><\/pre>\n<\/p>\n \u56db\u3001\u6570\u636e\u62bd\u53d6\u7684\u4f18\u5316\u7b56\u7565<\/p>\n<\/p>\n \u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u6548\u7387\u95ee\u9898\u5c24\u4e3a\u91cd\u8981\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u6570\u636e\u62bd\u53d6\u8fc7\u7a0b\u7684\u7b56\u7565\u3002<\/p>\n<\/p>\n \u5bf9\u4e8e\u5927\u578b\u6570\u636e\u5e93\u6216\u6587\u4ef6\uff0c\u9010\u884c\u8bfb\u53d6\u53ef\u80fd\u4f1a\u5bfc\u81f4\u6027\u80fd\u74f6\u9888\u3002\u53ef\u4ee5\u901a\u8fc7\u6279\u91cf\u8bfb\u53d6\u7684\u65b9\u5f0f\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n<\/p>\n process(chunk)<\/p>\n <\/code><\/pre>\n<\/p>\n \u4f7f\u7528 \u5728\u6570\u636e\u5e93\u67e5\u8be2\u4e2d\uff0c\u786e\u4fdd\u8868\u4e0a\u6709\u5408\u9002\u7684\u7d22\u5f15\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u67e5\u8be2\u901f\u5ea6\u3002\u5bf9\u4e8e\u6587\u4ef6\u6570\u636e\uff0c\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9\u6027\u8bfb\u53d6\u6240\u9700\u5217\u6765\u51cf\u5c11\u4e0d\u5fc5\u8981\u7684\u6570\u636e\u52a0\u8f7d\u3002<\/p>\n<\/p>\n \u5bf9\u4e8e\u53ef\u4ee5\u5e76\u884c\u5316\u7684\u4efb\u52a1\uff0c\u4f7f\u7528Python\u7684\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u529f\u80fd\u53ef\u4ee5\u52a0\u901f\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n def process_data(chunk):<\/p>\n # \u6570\u636e\u5904\u7406\u903b\u8f91<\/p>\n return result<\/p>\n pool = Pool(processes=4)<\/p>\n results = pool.map(process_data, data_chunks)<\/p>\n <\/code><\/pre>\n<\/p>\n \u901a\u8fc7\u5e76\u884c\u5904\u7406\uff0c\u53ef\u4ee5\u5145\u5206\u5229\u7528\u73b0\u4ee3\u591a\u6838\u5904\u7406\u5668\u7684\u6027\u80fd\u4f18\u52bf\u3002<\/p>\n<\/p>\n \u4e94\u3001\u603b\u7ed3\u4e0e\u5b9e\u8df5\u5efa\u8bae<\/p>\n<\/p>\n \u901a\u8fc7\u5408\u7406\u4f7f\u7528Pandas\u3001SQLite\u3001SQLAlchemy\u7b49\u5de5\u5177\uff0cPython\u53ef\u4ee5\u6709\u6548\u5730\u4ece\u5404\u79cd\u6570\u636e\u6e90\u4e2d\u62bd\u53d6\u6570\u636e\u3002\u7ed3\u5408API\u8bbf\u95ee\u548c\u5e76\u884c\u5904\u7406\u7b49\u6280\u672f\uff0c\u80fd\u591f\u663e\u8457\u63d0\u5347\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u548c\u7075\u6d3b\u6027\u3002\u5b9e\u8df5\u4e2d\uff0c\u5e94\u6839\u636e\u5177\u4f53\u7684\u6570\u636e\u6e90\u548c\u4efb\u52a1\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u548c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n \u4e3a\u4e86\u4fdd\u6301\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7ef4\u62a4\u6027\uff0c\u5efa\u8bae\u5728\u6570\u636e\u62bd\u53d6\u8fc7\u7a0b\u4e2d\u9075\u5faa\u826f\u597d\u7684\u7f16\u7a0b\u4e60\u60ef\uff0c\u5982\u6a21\u5757\u5316\u8bbe\u8ba1\u3001\u6ce8\u91ca\u548c\u6587\u6863\u5316\u3002\u901a\u8fc7\u4e0d\u65ad\u5b66\u4e60\u548c\u5b9e\u8df5\uff0c\u53ef\u4ee5\u66f4\u597d\u5730\u638c\u63e1Python\u7684\u6570\u636e\u62bd\u53d6\u6280\u672f\uff0c\u4e3a\u6570\u636e\u5206\u6790\u548c\u51b3\u7b56\u63d0\u4f9b\u6709\u529b\u652f\u6301\u3002<\/p>\n<\/p>\n \u5982\u4f55\u5728Python\u4e2d\u4eceCSV\u6587\u4ef6\u4e2d\u63d0\u53d6\u6570\u636e\uff1f<\/strong> \u4f7f\u7528Python\u63d0\u53d6\u7279\u5b9a\u6761\u4ef6\u7684\u6570\u636e\u6709\u4f55\u65b9\u6cd5\uff1f<\/strong> \u5982\u4f55\u4f7f\u7528Python\u4ece\u7f51\u9875\u63d0\u53d6\u6570\u636e\uff1f<\/strong>\n
read_csv<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u53ea\u9700\u6307\u5b9a\u6587\u4ef6\u8def\u5f84\uff0c\u5373\u53ef\u5c06\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\u3002DataFrame\u662fPandas\u4e2d\u6700\u91cd\u8981\u7684\u6570\u636e\u7ed3\u6784\uff0c\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u6216SQL\u8868\u3002<\/p>\n<\/p>\nimport pandas as pd<\/p>\nyour_file.csv<\/code>\u6587\u4ef6\uff0c\u5e76\u663e\u793a\u524d\u4e94\u884c\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574read_csv<\/code>\u7684\u53c2\u6570\u6765\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684CSV\u6587\u4ef6\uff0c\u4f8b\u5982\u6307\u5b9a\u5206\u9694\u7b26\u3001\u7f3a\u5931\u503c\u6807\u8bb0\u7b49\u3002<\/p>\n<\/p>\n\n
read_excel<\/code>\u51fd\u6570\u5373\u53ef\u5b9e\u73b0\u3002<\/p>\n<\/p>\ndf = pd.read_excel('your_file.xlsx', sheet_name='Sheet1')<\/p>\nsheet_name<\/code>\u53c2\u6570\uff0c\u4f60\u53ef\u4ee5\u9009\u62e9\u8bfb\u53d6\u54ea\u4e2a\u5de5\u4f5c\u8868\u7684\u6570\u636e\u3002\u6b64\u5916\uff0cPandas\u8fd8\u652f\u6301\u4ece\u591a\u5f20\u8868\u4e2d\u63d0\u53d6\u6570\u636e\uff0c\u5e76\u5c06\u5176\u5408\u5e76\u5230\u4e00\u4e2aDataFrame\u4e2d\u3002<\/p>\n<\/p>\n\n
# \u7b5b\u9009\u51fa\u67d0\u5217\u503c\u5927\u4e8e\u67d0\u4e2a\u9608\u503c\u7684\u6570\u636e<\/p>\n\n
import sqlite3<\/p>\n\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93<\/strong><\/h2>\n
\u6267\u884c\u67e5\u8be2<\/strong><\/h2>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
\n
from sqlalchemy import create_engine<\/p>\n\u521b\u5efa\u6570\u636e\u5e93\u5f15\u64ce<\/strong><\/h2>\n
\u6267\u884c\u67e5\u8be2<\/strong><\/h2>\n
\n
import requests<\/p>\n\u53d1\u9001GET\u8bf7\u6c42<\/strong><\/h2>\n
\u89e3\u6790JSON\u54cd\u5e94<\/strong><\/h2>\n
\n
df = pd.json_normalize(data)<\/p>\njson_normalize<\/code>\u51fd\u6570\u53ef\u4ee5\u5c06\u5d4c\u5957\u7684JSON\u7ed3\u6784\u5c55\u5e73\u4e3a\u4e00\u4e2aDataFrame\uff0c\u65b9\u4fbf\u8fdb\u4e00\u6b65\u5206\u6790\u3002<\/p>\n<\/p>\n\n
for chunk in pd.read_csv('large_file.csv', chunksize=10000):<\/p>\nchunksize<\/code>\u53c2\u6570\u53ef\u4ee5\u5c06\u6570\u636e\u5206\u5757\u8bfb\u53d6\uff0c\u9002\u5408\u5904\u7406\u5185\u5b58\u53d7\u9650\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n\n
\n
from multiprocessing import Pool<\/p>\n\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u8f7b\u677e\u5730\u4eceCSV\u6587\u4ef6\u4e2d\u62bd\u53d6\u6570\u636e\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5\u8be5\u5e93\u3002\u4f7f\u7528pd.read_csv('\u6587\u4ef6\u8def\u5f84')<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDataFrame\u5bf9\u8c61\uff0c\u4fbf\u4e8e\u6570\u636e\u7684\u64cd\u4f5c\u548c\u5206\u6790\u3002\u53ef\u4ee5\u4f7f\u7528\u5404\u79cd\u65b9\u6cd5\uff0c\u4f8b\u5982df['\u5217\u540d']<\/code>\u6765\u9009\u62e9\u7279\u5b9a\u5217\uff0c\u6216\u8005df.loc[\u884c\u6570]<\/code>\u6765\u9009\u62e9\u7279\u5b9a\u884c\uff0c\u8fdb\u800c\u63d0\u53d6\u6240\u9700\u6570\u636e\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u7684\u6761\u4ef6\u7b5b\u9009\u529f\u80fd\u6765\u63d0\u53d6\u7b26\u5408\u7279\u5b9a\u6761\u4ef6\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528df[df['\u5217\u540d'] > \u503c]<\/code>\u6765\u63d0\u53d6\u67d0\u5217\u4e2d\u5927\u4e8e\u6307\u5b9a\u503c\u7684\u6240\u6709\u884c\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u7528\u6237\u53ef\u4ee5\u7075\u6d3b\u5730\u7b5b\u9009\u51fa\u611f\u5174\u8da3\u7684\u6570\u636e\u5b50\u96c6\uff0c\u8fdb\u884c\u66f4\u6df1\u5165\u7684\u5206\u6790\u3002<\/p>\n
\u901a\u8fc7BeautifulSoup<\/code>\u548crequests<\/code>\u5e93\uff0c\u7528\u6237\u53ef\u4ee5\u4ece\u7f51\u9875\u4e2d\u63d0\u53d6\u6570\u636e\u3002\u9996\u5148\uff0c\u4f7f\u7528requests.get('\u7f51\u5740')<\/code>\u83b7\u53d6\u7f51\u9875\u5185\u5bb9\uff0c\u7136\u540e\u4f7f\u7528BeautifulSoup<\/code>\u89e3\u6790HTML\u3002\u901a\u8fc7\u67e5\u627e\u7279\u5b9a\u6807\u7b7e\u6216\u7c7b\u540d\uff0c\u7528\u6237\u53ef\u4ee5\u63d0\u53d6\u6240\u9700\u7684\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528soup.find_all('\u6807\u7b7e\u540d')<\/code>\u53ef\u4ee5\u63d0\u53d6\u6240\u6709\u7279\u5b9a\u6807\u7b7e\u7684\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u5408\u8fdb\u884c\u7f51\u7edc\u722c\u866b\u548c\u6570\u636e\u6536\u96c6\u4efb\u52a1\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u5982\u4f55\u62bd\u6570\u636e\uff1f\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528\u5e93\u5982Pandas\u3001SQLite\u3001SQLAlchemy\u7b49\uff0c\u65b9\u4fbf\u5730\u4ece\u5404\u79cd\u6570\u636e\u6e90 […]","protected":false},"author":3,"featured_media":923180,"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\/923176"}],"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=923176"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/923176\/revisions"}],"predecessor-version":[{"id":923181,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/923176\/revisions\/923181"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/923180"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=923176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=923176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=923176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}