{"id":1126421,"date":"2025-01-08T20:01:04","date_gmt":"2025-01-08T12:01:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1126421.html"},"modified":"2025-01-08T20:01:07","modified_gmt":"2025-01-08T12:01:07","slug":"python%e5%a6%82%e4%bd%95%e5%be%aa%e7%8e%af%e5%be%80csv%e8%bf%bd%e5%8a%a0%e6%95%b0%e6%8d%ae%e5%ba%93","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1126421.html","title":{"rendered":"python\u5982\u4f55\u5faa\u73af\u5f80csv\u8ffd\u52a0\u6570\u636e\u5e93"},"content":{"rendered":"

\"python\u5982\u4f55\u5faa\u73af\u5f80csv\u8ffd\u52a0\u6570\u636e\u5e93\"<\/p>\n

\u5728Python\u4e2d\u5b9e\u73b0\u5faa\u73af\u5f80CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\u5e93\u5185\u5bb9\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\u4f7f\u7528\u6570\u636e\u5e93\u8fde\u63a5\u5e93\uff08\u5982sqlite3\u3001pymysql\u7b49\uff09\u548cCSV\u6587\u4ef6\u64cd\u4f5c\u5e93\uff08\u5982csv\u3001pandas\u7b49\uff09\u3002<\/strong> \u9996\u5148\uff0c\u901a\u8fc7\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\uff0c\u7136\u540e\u5229\u7528CSV\u6587\u4ef6\u64cd\u4f5c\u5e93\u5c06\u6570\u636e\u9010\u884c\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/strong> \u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\u5e94\u6ce8\u610f\u5185\u5b58\u7ba1\u7406\u548c\u6027\u80fd\u4f18\u5316\u3002<\/strong><\/p>\n<\/p>\n

\u8be6\u7ec6\u63cf\u8ff0\uff1a<\/strong> \u4f7f\u7528Python\u5faa\u73af\u5f80CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\u5e93\u5185\u5bb9\u65f6\uff0c\u9996\u5148\u9700\u8981\u8fde\u63a5\u5230\u6570\u636e\u5e93\u5e76\u83b7\u53d6\u6570\u636e\u3002<\/strong> \u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93\uff08\u5982sqlite3\u7528\u4e8eSQLite\u6570\u636e\u5e93\uff0cpymysql\u7528\u4e8eMySQL\u6570\u636e\u5e93\u7b49\uff09\uff0c\u7136\u540e\u901a\u8fc7SQL\u67e5\u8be2\u83b7\u53d6\u6570\u636e\u3002<\/strong> \u63a5\u4e0b\u6765\uff0c\u4f7f\u7528CSV\u6587\u4ef6\u64cd\u4f5c\u5e93\uff08\u5982csv\u6a21\u5757\u6216pandas\u5e93\uff09\u5c06\u6570\u636e\u9010\u884c\u5199\u5165CSV\u6587\u4ef6\u3002<\/strong> \u5728\u5faa\u73af\u8fc7\u7a0b\u4e2d\uff0c\u6bcf\u6b21\u8bfb\u53d6\u6570\u636e\u5e93\u7684\u65b0\u6570\u636e\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\u3002<\/strong> \u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u793a\u4f8b\u4ee3\u7801\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u8fde\u63a5\u6570\u636e\u5e93\u5e76\u83b7\u53d6\u6570\u636e<\/h3>\n<\/p>\n

\u5728\u8fdb\u884c\u4efb\u4f55CSV\u64cd\u4f5c\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u8fde\u63a5\u5230\u6570\u636e\u5e93\u5e76\u83b7\u53d6\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528SQLite\u6570\u636e\u5e93\u548cpandas\u5e93\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n

import sqlite3<\/p>\n
import pandas as pd<\/p>\n
\u8fde\u63a5\u5230SQLite\u6570\u636e\u5e93<\/strong><\/h2>\n
conn = sqlite3.connect('example.db')<\/p>\n
\u6267\u884cSQL\u67e5\u8be2\u5e76\u5c06\u7ed3\u679c\u8bfb\u53d6\u5230pandas DataFrame\u4e2d<\/strong><\/h2>\n
query = "SELECT * FROM your_table"<\/p>\n
df = pd.read_sql_query(query, conn)<\/p>\n
\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521d\u59cb\u5316CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5728\u7b2c\u4e00\u6b21\u8fd0\u884c\u65f6\u9700\u8981\u521d\u59cb\u5316CSV\u6587\u4ef6\uff0c\u5199\u5165\u8868\u5934\u4fe1\u606f\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528pandas\u5e93\u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
# \u5c06DataFrame\u5199\u5165CSV\u6587\u4ef6\uff0c\u5e76\u5305\u542b\u8868\u5934\u4fe1\u606f<\/p>\n
df.to_csv('output.csv', index=False, header=True)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e93\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4e3a\u4e86\u5b9e\u73b0\u5faa\u73af\u5f80CSV\u6587\u4ef6\u4e2d\u8ffd\u52a0\u6570\u636e\u5e93\u5185\u5bb9\uff0c\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u5faa\u73af\u7ed3\u6784\uff0c\u6bcf\u6b21\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u65b0\u6570\u636e\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u5b9e\u73b0\u8fd9\u4e00\u529f\u80fd\u7684\u5b8c\u6574\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import sqlite3<\/p>\n
import pandas as pd<\/p>\n
\u5b9a\u4e49\u51fd\u6570\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
def fetch_data_from_db():<\/p>\n
    conn = sqlite3.connect('example.db')<\/p>\n
    query = "SELECT * FROM your_table"<\/p>\n
    df = pd.read_sql_query(query, conn)<\/p>\n
    conn.close()<\/p>\n
    return df<\/p>\n
\u521d\u59cb\u5316CSV\u6587\u4ef6<\/strong><\/h2>\n
initial_df = fetch_data_from_db()<\/p>\n
initial_df.to_csv('output.csv', index=False, header=True)<\/p>\n
\u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e93\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
while True:<\/p>\n
    new_data = fetch_data_from_db()<\/p>\n
    if not new_data.empty:<\/p>\n
        new_data.to_csv('output.csv', mode='a', index=False, header=False)<\/p>\n
    # \u4e3a\u4e86\u907f\u514d\u65e0\u9650\u5faa\u73af\uff0c\u8fd9\u91cc\u53ef\u4ee5\u8bbe\u7f6e\u4e00\u4e2a\u6761\u4ef6\u4e2d\u65ad\u5faa\u73af<\/p>\n
    # \u4f8b\u5982\uff0c\u8bfb\u53d6\u4e00\u5b9a\u6b21\u6570\u540e\u9000\u51fa\u5faa\u73af\uff0c\u6216\u8bbe\u7f6e\u4e00\u4e2a\u7761\u7720\u65f6\u95f4<\/p>\n
    break  # \u8fd9\u91cc\u662f\u4e3a\u4e86\u793a\u4f8b\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u5e94\u53bb\u6389\u8fd9\u4e00\u884c<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5904\u7406\u5927\u91cf\u6570\u636e\u548c\u6027\u80fd\u4f18\u5316<\/h3>\n<\/p>\n
\u5f53\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u9700\u8981\u6ce8\u610f\u5185\u5b58\u7ba1\u7406\u548c\u6027\u80fd\u4f18\u5316\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u5efa\u8bae\uff1a<\/p>\n<\/p>\n
    \n
  1. \u6279\u91cf\u8bfb\u53d6\u548c\u5199\u5165\uff1a<\/strong> \u907f\u514d\u4e00\u6b21\u6027\u8bfb\u53d6\u548c\u5199\u5165\u5927\u91cf\u6570\u636e\uff0c\u53ef\u4ee5\u5206\u6279\u8fdb\u884c\u3002\u4f8b\u5982\uff0c\u6bcf\u6b21\u8bfb\u53d61000\u884c\u6570\u636e\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u3002<\/li>\n
  2. \u5185\u5b58\u7ba1\u7406\uff1a<\/strong> \u4f7f\u7528\u751f\u6210\u5668\u548c\u8fed\u4ee3\u5668\u6765\u5904\u7406\u5927\u6570\u636e\u96c6\uff0c\u907f\u514d\u4e00\u6b21\u6027\u5c06\u6570\u636e\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u3002<\/li>\n
  3. \u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b\uff1a<\/strong> \u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6765\u63d0\u9ad8\u6570\u636e\u8bfb\u53d6\u548c\u5199\u5165\u7684\u6548\u7387\u3002<\/li>\n<\/ol>\n
    \u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528\u751f\u6210\u5668\u5206\u6279\u8bfb\u53d6\u6570\u636e\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import sqlite3<\/p>\n
    import pandas as pd<\/p>\n
    \u5b9a\u4e49\u751f\u6210\u5668\u51fd\u6570\u5206\u6279\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
    def fetch_data_in_batches(batch_size=1000):<\/p>\n
        conn = sqlite3.connect('example.db')<\/p>\n
        query = "SELECT * FROM your_table"<\/p>\n
        for chunk in pd.read_sql_query(query, conn, chunksize=batch_size):<\/p>\n
            yield chunk<\/p>\n
        conn.close()<\/p>\n
    \u521d\u59cb\u5316CSV\u6587\u4ef6<\/strong><\/h2>\n
    initial_batch = next(fetch_data_in_batches())<\/p>\n
    initial_batch.to_csv('output.csv', index=False, header=True)<\/p>\n
    \u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e93\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
    for batch in fetch_data_in_batches():<\/p>\n
        if not batch.empty:<\/p>\n
            batch.to_csv('output.csv', mode='a', index=False, header=False)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e94\u3001\u9519\u8bef\u5904\u7406\u548c\u65e5\u5fd7\u8bb0\u5f55<\/h3>\n<\/p>\n
    \u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9700\u8981\u8003\u8651\u5230\u53ef\u80fd\u53d1\u751f\u7684\u9519\u8bef\u5e76\u8fdb\u884c\u5904\u7406\uff0c\u540c\u65f6\u8bb0\u5f55\u65e5\u5fd7\u4ee5\u4fbf\u4e8e\u8c03\u8bd5\u548c\u76d1\u63a7\u3002\u4ee5\u4e0b\u662f\u6dfb\u52a0\u9519\u8bef\u5904\u7406\u548c\u65e5\u5fd7\u8bb0\u5f55\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    import sqlite3<\/p>\n
    import pandas as pd<\/p>\n
    import logging<\/p>\n
    \u914d\u7f6e\u65e5\u5fd7\u8bb0\u5f55<\/strong><\/h2>\n
    logging.basicConfig(filename='app.log', level=logging.INFO, <\/p>\n
                        format='%(asctime)s - %(levelname)s - %(message)s')<\/p>\n
    \u5b9a\u4e49\u51fd\u6570\u4ece\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
    def fetch_data_from_db():<\/p>\n
        try:<\/p>\n
            conn = sqlite3.connect('example.db')<\/p>\n
            query = "SELECT * FROM your_table"<\/p>\n
            df = pd.read_sql_query(query, conn)<\/p>\n
            conn.close()<\/p>\n
            return df<\/p>\n
        except Exception as e:<\/p>\n
            logging.error(f"Error fetching data from database: {e}")<\/p>\n
            return pd.DataFrame()<\/p>\n
    \u521d\u59cb\u5316CSV\u6587\u4ef6<\/strong><\/h2>\n
    initial_df = fetch_data_from_db()<\/p>\n
    if not initial_df.empty:<\/p>\n
        initial_df.to_csv('output.csv', index=False, header=True)<\/p>\n
    \u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e93\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
    while True:<\/p>\n
        new_data = fetch_data_from_db()<\/p>\n
        if not new_data.empty:<\/p>\n
            new_data.to_csv('output.csv', mode='a', index=False, header=False)<\/p>\n
        # \u4e3a\u4e86\u907f\u514d\u65e0\u9650\u5faa\u73af\uff0c\u8fd9\u91cc\u53ef\u4ee5\u8bbe\u7f6e\u4e00\u4e2a\u6761\u4ef6\u4e2d\u65ad\u5faa\u73af<\/p>\n
        # \u4f8b\u5982\uff0c\u8bfb\u53d6\u4e00\u5b9a\u6b21\u6570\u540e\u9000\u51fa\u5faa\u73af\uff0c\u6216\u8bbe\u7f6e\u4e00\u4e2a\u7761\u7720\u65f6\u95f4<\/p>\n
        break  # \u8fd9\u91cc\u662f\u4e3a\u4e86\u793a\u4f8b\uff0c\u5b9e\u9645\u5e94\u7528\u4e2d\u5e94\u53bb\u6389\u8fd9\u4e00\u884c<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u516d\u3001\u7efc\u5408\u793a\u4f8b<\/h3>\n<\/p>\n
    \u4ee5\u4e0b\u662f\u4e00\u4e2a\u7efc\u5408\u793a\u4f8b\uff0c\u7ed3\u5408\u4e86\u6570\u636e\u5e93\u8fde\u63a5\u3001CSV\u6587\u4ef6\u64cd\u4f5c\u3001\u5206\u6279\u5904\u7406\u3001\u9519\u8bef\u5904\u7406\u548c\u65e5\u5fd7\u8bb0\u5f55\uff1a<\/p>\n<\/p>\n
    import sqlite3<\/p>\n
    import pandas as pd<\/p>\n
    import logging<\/p>\n
    \u914d\u7f6e\u65e5\u5fd7\u8bb0\u5f55<\/strong><\/h2>\n
    logging.basicConfig(filename='app.log', level=logging.INFO, <\/p>\n
                        format='%(asctime)s - %(levelname)s - %(message)s')<\/p>\n
    \u5b9a\u4e49\u751f\u6210\u5668\u51fd\u6570\u5206\u6279\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n
    def fetch_data_in_batches(batch_size=1000):<\/p>\n
        try:<\/p>\n
            conn = sqlite3.connect('example.db')<\/p>\n
            query = "SELECT * FROM your_table"<\/p>\n
            for chunk in pd.read_sql_query(query, conn, chunksize=batch_size):<\/p>\n
                yield chunk<\/p>\n
            conn.close()<\/p>\n
        except Exception as e:<\/p>\n
            logging.error(f"Error fetching data from database: {e}")<\/p>\n
            yield pd.DataFrame()<\/p>\n
    \u521d\u59cb\u5316CSV\u6587\u4ef6<\/strong><\/h2>\n
    initial_batch = next(fetch_data_in_batches())<\/p>\n
    if not initial_batch.empty:<\/p>\n
        initial_batch.to_csv('output.csv', index=False, header=True)<\/p>\n
    \u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e93\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6<\/strong><\/h2>\n
    for batch in fetch_data_in_batches():<\/p>\n
        if not batch.empty:<\/p>\n
            batch.to_csv('output.csv', mode='a', index=False, header=False)<\/p>\n
        else:<\/p>\n
            logging.info("No more data to fetch.")<\/p>\n
            break<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u603b\u7ed3\u8d77\u6765\uff0c\u901a\u8fc7\u4f7f\u7528Python\u4e2d\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93\u548cCSV\u6587\u4ef6\u64cd\u4f5c\u5e93\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5b9e\u73b0\u4ece\u6570\u636e\u5e93\u4e2d\u5faa\u73af\u8bfb\u53d6\u6570\u636e\u5e76\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\u3002\u91c7\u7528\u5206\u6279\u5904\u7406\u3001\u9519\u8bef\u5904\u7406\u548c\u65e5\u5fd7\u8bb0\u5f55\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u7a0b\u5e8f\u7684\u7a33\u5b9a\u6027\u548c\u6027\u80fd\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u6570\u636e\u91cf\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u4f7f\u7528Python\u5c06\u6570\u636e\u9010\u884c\u8ffd\u52a0\u5230CSV\u6587\u4ef6\u4e2d\uff1f<\/strong>
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