{"id":116555,"date":"2026-10-21T19:08:57","date_gmt":"2026-10-21T11:08:57","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/116555.html"},"modified":"2026-10-21T19:08:57","modified_gmt":"2026-10-21T11:08:57","slug":"%e5%bd%b1%e5%88%80rpa%e8%bf%9b%e9%98%b6%e6%95%99%e7%a8%8b%ef%bc%9amysql%e6%95%b0%e6%8d%ae%e5%ba%93%e8%af%bb%e5%86%99%e4%b8%8epandas%e6%95%b0%e6%8d%ae%e4%ba%92%e9%80%9a%e5%ae%9e%e6%88%98","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/116555.html","title":{"rendered":"\u5f71\u5200RPA\u8fdb\u9636\u6559\u7a0b\uff1aMySQL\u6570\u636e\u5e93\u8bfb\u5199\u4e0ePandas\u6570\u636e\u4e92\u901a\u5b9e\u6218"},"content":{"rendered":"

\u5f71\u5200RPA\u8fdb\u9636\u6559\u7a0b：MySQL\u6570\u636e\u5e93\u8bfb\u5199\u4e0ePandas\u6570\u636e\u4e92\u901a\u5b9e\u6218<\/h2>\n

Excel\u6587\u4ef6\u8d8a\u6765\u8d8a\u591a，\u4e00\u4e2a\u65e5\u62a5\u6c47\u603b\u8868\u4e09\u4e2a\u6708\u5c31\u81a8\u80c0\u523050MB，\u6253\u5f00\u90fd\u8981\u7b49\u5341\u51e0\u79d2\u3002\u5e97\u7fa4\u6570\u636e\u505a\u5230\u4e00\u5b9a\u89c4\u6a21，\u5fc5\u987b\u8981\u4e0a\u6570\u636e\u5e93\u2014\u2014MySQL\u662f\u6700\u5408\u9002\u7684\u9009\u62e9\u3002\u4f46\u5f71\u5200RPA\u672c\u8eab\u6ca1\u6709\u5185\u7f6e\u6570\u636e\u5e93\u64cd\u4f5c\u6307\u4ee4，\u6570\u636e\u600e\u4e48\u843d\u5730\u6210\u4e86\u96be\u9898\u3002<\/p>\n

\u7528Python\u6865\u63a5\u5f71\u5200RPA\u548cMySQL，Pandas\u505a\u4e2d\u95f4\u5c42，\u6570\u636e\u6d41\u5c31\u80fd\u8dd1\u901a\u3002<\/p>\n

\u6211\u4e5f\u662f\u975e\u6280\u672f\u80cc\u666f，\u7b2c\u4e00\u6b21\u88c5MySQL\u6298\u817e\u4e86\u4e24\u5929\u3002\u4f46\u914d\u7f6e\u597d\u540e，\u6570\u636e\u4eceExcel\u5230\u6570\u636e\u5e93\u518d\u5230\u98de\u4e66\u770b\u677f\u7684\u5168\u94fe\u8def\u5c31\u6253\u901a\u4e86\u3002\u6bcf\u5929\u4e0a\u5343\u6761\u5e97\u94fa\u6570\u636e\u81ea\u52a8\u5165\u5e93，\u67e5\u8be2\u548c\u5206\u6790\u6548\u7387\u6bd4Excel\u9ad8\u4e86\u81f3\u5c1110\u500d\u3002<\/p>\n

MySQL\u73af\u5883\u51c6\u5907<\/h3>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u5b89\u88c5MySQL<\/h4>\n

\u63a8\u8350\u7528MySQL Community Server 8.0\u3002\u5b89\u88c5\u65f6\u6ce8\u610f：<\/p>\n

  • \u9009\u62e9\u300cDeveloper Default\u300d\u5b89\u88c5\u7c7b\u578b<\/li>\n
  • root\u5bc6\u7801\u8bbe\u7f6e\u540e\u4fdd\u5b58\u597d，\u540e\u7eed\u914d\u7f6e\u8981\u7528<\/li>\n
  • \u7aef\u53e3\u4fdd\u6301\u9ed8\u8ba43306<\/li>\n
  • Windows\u670d\u52a1\u540d\u79f0\u4fdd\u6301\u9ed8\u8ba4\u300cMySQL80\u300d<\/li>\n

    \u5b89\u88c5\u5b8c\u6210\u540e\u9a8c\u8bc1：<\/p>\n

    # \u6253\u5f00\u547d\u4ee4\u884c，\u6d4b\u8bd5\u8fde\u63a5<\/span>
    \nmysql -u<\/span> root -p<\/span>
    \n# \u8f93\u5165\u5bc6\u7801\u540e\u770b\u5230 mysql> \u63d0\u793a\u7b26\u5373\u5b89\u88c5\u6210\u529f<\/span><\/p>\n

    # \u521b\u5efa\u7535\u5546\u6570\u636e\u5e93<\/span>
    \nCREATE DATABASE ecommerce_data CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;<\/span>
    \nUSE ecommerce_data;<\/span><\/p>\n

    \u5b89\u88c5Python\u8fde\u63a5\u5e93<\/h4>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    \u5f71\u5200RPA\u7684Python\u73af\u5883\u9700\u8981\u5b89\u88c5 pymysql \u548c pandas：<\/p>\n

    # \u5728\u5f71\u5200RPA\u7684Python\u73af\u5883\u4e2d\u5b89\u88c5\u4f9d\u8d56<\/span>
    \npip install<\/span> pymysql pandas sqlalchemy<\/p>\n

    \u5f71\u5200RPA\u4f7f\u7528\u7684Python\u89e3\u91ca\u5668\u8def\u5f84\u5728\u5b89\u88c5\u76ee\u5f55\u4e0b\u3002\u53ef\u4ee5\u5728\u5f71\u5200RPA\u7684\u300c\u6267\u884cPython\u811a\u672c\u300d\u6307\u4ee4\u4e2d\u5148\u8dd1\u4e00\u6bb5\u68c0\u6d4b\u4ee3\u7801\u786e\u8ba4\u5e93\u662f\u5426\u5b89\u88c5\u6210\u529f：<\/p>\n

    # Python\u73af\u5883\u68c0\u6d4b<\/span>
    \ntry<\/span>:<\/span>
    \n import<\/span> pymysql
    \n import<\/span> pandas
    \n from<\/span> sqlalchemy import<\/span> create_engine
    \n print<\/span>(<\/span>"\u6240\u6709\u4f9d\u8d56\u5e93\u5df2\u5b89\u88c5"<\/span>)<\/span>
    \n print<\/span>(<\/span>f"pymysql\u7248\u672c: <\/span>{<\/span>pymysql.<\/span>__version__}<\/span><\/span>"<\/span><\/span>)<\/span>
    \n print<\/span>(<\/span>f"pandas\u7248\u672c: <\/span>{<\/span>pandas.<\/span>__version__}<\/span><\/span>"<\/span><\/span>)<\/span>
    \nexcept<\/span> ImportError as<\/span> e:<\/span>
    \n print<\/span>(<\/span>f"\u7f3a\u5c11\u4f9d\u8d56\u5e93: <\/span>{<\/span>e}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    \u6570\u636e\u5e93\u8868\u8bbe\u8ba1<\/h3>\n

    \u7535\u5546\u6570\u636e\u8868\u7ed3\u6784<\/h4>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    — \u5e97\u94fa\u65e5\u9500\u552e\u6570\u636e\u8868<\/span>
    \nCREATE<\/span> TABLE<\/span> shop_daily_sales (<\/span>
    \n id INT<\/span> AUTO_INCREMENT<\/span> PRIMARY<\/span> KEY<\/span>,<\/span>
    \n platform VARCHAR<\/span>(<\/span>20<\/span>)<\/span> NOT<\/span> NULL<\/span> COMMENT<\/span> '\u5e73\u53f0：\u62fc\u591a\u591a\/\u6dd8\u5b9d\/TEMU\/TikTok'<\/span>,<\/span>
    \n shop_name VARCHAR<\/span>(<\/span>100<\/span>)<\/span> NOT<\/span> NULL<\/span> COMMENT<\/span> '\u5e97\u94fa\u540d\u79f0'<\/span>,<\/span>
    \n report_date DATE<\/span> NOT<\/span> NULL<\/span> COMMENT<\/span> '\u6570\u636e\u65e5\u671f'<\/span>,<\/span>
    \n sales DECIMAL<\/span>(<\/span>12<\/span>,<\/span>2<\/span>)<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u9500\u552e\u989d(\u5143)'<\/span>,<\/span>
    \n orders INT<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u8ba2\u5355\u6570'<\/span>,<\/span>
    \n visitors INT<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u8bbf\u5ba2\u6570'<\/span>,<\/span>
    \n conversion_rate DECIMAL<\/span>(<\/span>5<\/span>,<\/span>2<\/span>)<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u8f6c\u5316\u7387(%)'<\/span>,<\/span>
    \n refund_amount DECIMAL<\/span>(<\/span>12<\/span>,<\/span>2<\/span>)<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u9000\u6b3e\u91d1\u989d(\u5143)'<\/span>,<\/span>
    \n created_at TIMESTAMP<\/span> DEFAULT<\/span> CURRENT_TIMESTAMP<\/span>,<\/span>
    \n updated_at TIMESTAMP<\/span> DEFAULT<\/span> CURRENT_TIMESTAMP<\/span> ON<\/span> UPDATE<\/span> CURRENT_TIMESTAMP<\/span>,<\/span>
    \n UNIQUE<\/span> KEY<\/span> uk_shop_date (<\/span>platform,<\/span> shop_name,<\/span> report_date)<\/span> COMMENT<\/span> '\u540c\u5e97\u94fa\u540c\u65e5\u671f\u552f\u4e00'<\/span>
    \n)<\/span> ENGINE<\/span>=<\/span>InnoDB<\/span> DEFAULT<\/span> CHARSET<\/span>=<\/span>utf8mb4 COMMENT<\/span>=<\/span>'\u5e97\u94fa\u65e5\u9500\u552e\u6570\u636e'<\/span>;<\/span><\/p>\n

    — \u5546\u54c1\u7ef4\u5ea6\u6570\u636e\u8868<\/span>
    \nCREATE<\/span> TABLE<\/span> product_daily (<\/span>
    \n id INT<\/span> AUTO_INCREMENT<\/span> PRIMARY<\/span> KEY<\/span>,<\/span>
    \n platform VARCHAR<\/span>(<\/span>20<\/span>)<\/span> NOT<\/span> NULL<\/span>,<\/span>
    \n shop_name VARCHAR<\/span>(<\/span>100<\/span>)<\/span> NOT<\/span> NULL<\/span>,<\/span>
    \n product_id VARCHAR<\/span>(<\/span>50<\/span>)<\/span> NOT<\/span> NULL<\/span> COMMENT<\/span> '\u5546\u54c1ID'<\/span>,<\/span>
    \n product_title VARCHAR<\/span>(<\/span>500<\/span>)<\/span> COMMENT<\/span> '\u5546\u54c1\u6807\u9898'<\/span>,<\/span>
    \n report_date DATE<\/span> NOT<\/span> NULL<\/span>,<\/span>
    \n sales DECIMAL<\/span>(<\/span>12<\/span>,<\/span>2<\/span>)<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u5546\u54c1\u9500\u552e\u989d'<\/span>,<\/span>
    \n orders INT<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u5546\u54c1\u8ba2\u5355\u6570'<\/span>,<\/span>
    \n stock INT<\/span> DEFAULT<\/span> 0<\/span> COMMENT<\/span> '\u5e93\u5b58\u6570'<\/span>,<\/span>
    \n created_at TIMESTAMP<\/span> DEFAULT<\/span> CURRENT_TIMESTAMP<\/span>,<\/span>
    \n UNIQUE<\/span> KEY<\/span> uk_product_date (<\/span>platform,<\/span> shop_name,<\/span> product_id,<\/span> report_date)<\/span>
    \n)<\/span> ENGINE<\/span>=<\/span>InnoDB<\/span> DEFAULT<\/span> CHARSET<\/span>=<\/span>utf8mb4 COMMENT<\/span>=<\/span>'\u5546\u54c1\u7ef4\u5ea6\u65e5\u6570\u636e'<\/span>;<\/span><\/p>\n

    \u7d22\u5f15\u4f18\u5316<\/h4>\n

    \u7535\u5546\u6570\u636e\u67e5\u8be2\u9891\u7e41，\u9700\u8981\u5408\u7406\u5efa\u7d22\u5f15：<\/p>\n

    — \u6309\u65e5\u671f\u67e5\u8be2（\u65e5\u62a5\u573a\u666f\u6700\u9891\u7e41）<\/span>
    \nCREATE<\/span> INDEX<\/span> idx_report_date ON<\/span> shop_daily_sales(<\/span>report_date)<\/span>;<\/span><\/p>\n

    — \u6309\u5e73\u53f0+\u65e5\u671f\u67e5\u8be2<\/span>
    \nCREATE<\/span> INDEX<\/span> idx_platform_date ON<\/span> shop_daily_sales(<\/span>platform,<\/span> report_date)<\/span>;<\/span><\/p>\n

    — \u7ec4\u5408\u7d22\u5f15：\u591a\u5e73\u53f0\u6570\u636e\u770b\u677f\u6700\u5e38\u7528<\/span>
    \nCREATE<\/span> INDEX<\/span> idx_platform_shop_date ON<\/span> shop_daily_sales(<\/span>platform,<\/span> shop_name,<\/span> report_date)<\/span>;<\/span><\/p>\n

    \u5f71\u5200RPA\u5199\u5165MySQL<\/h3>\n

    \u6570\u636e\u91c7\u96c6\u540e\u81ea\u52a8\u5165\u5e93<\/h4>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    # \u5f71\u5200RPA\u6d41\u7a0b\u4e2d\u7684MySQL\u6570\u636e\u5199\u5165<\/span>
    \n# \u5728\u300c\u6267\u884cPython\u811a\u672c\u300d\u6307\u4ee4\u4e2d\u8fd0\u884c<\/span><\/p>\n

    import<\/span> pymysql
    \nimport<\/span> pandas as<\/span> pd
    \nfrom<\/span> datetime import<\/span> datetime<\/p>\n

    # 1. \u6570\u636e\u5e93\u8fde\u63a5\u914d\u7f6e（\u4ece\u5f71\u5200\u53d8\u91cf\u8bfb\u53d6）<\/span>
    \ndb_config =<\/span> {<\/span>
    \n "host"<\/span>:<\/span> "127.0.0.1"<\/span>,<\/span>
    \n "port"<\/span>:<\/span> 3306<\/span>,<\/span>
    \n "user"<\/span>:<\/span> flow.<\/span>get_variable(<\/span>"db_user"<\/span>)<\/span>,<\/span>
    \n "password"<\/span>:<\/span> flow.<\/span>get_variable(<\/span>"db_password"<\/span>)<\/span>,<\/span>
    \n "database"<\/span>:<\/span> "ecommerce_data"<\/span>,<\/span>
    \n "charset"<\/span>:<\/span> "utf8mb4"<\/span>
    \n}<\/span><\/p>\n

    # 2. \u4ece\u5f71\u5200\u53d8\u91cf\u83b7\u53d6\u91c7\u96c6\u5230\u7684\u6570\u636e<\/span>
    \ndata_json =<\/span> flow.<\/span>get_variable(<\/span>"pdd_collected_data"<\/span>)<\/span>
    \ndf =<\/span> pd.<\/span>read_json(<\/span>data_json)<\/span><\/p>\n

    # 3. \u6570\u636e\u6e05\u6d17：\u786e\u4fdd\u5b57\u6bb5\u7c7b\u578b\u6b63\u786e<\/span>
    \ndf[<\/span>'report_date'<\/span>]<\/span> =<\/span> pd.<\/span>to_datetime(<\/span>df[<\/span>'report_date'<\/span>]<\/span>)<\/span>.<\/span>dt.<\/span>date
    \ndf[<\/span>'platform'<\/span>]<\/span> =<\/span> df[<\/span>'platform'<\/span>]<\/span>.<\/span>astype(<\/span>str<\/span>)<\/span>
    \ndf[<\/span>'shop_name'<\/span>]<\/span> =<\/span> df[<\/span>'shop_name'<\/span>]<\/span>.<\/span>astype(<\/span>str<\/span>)<\/span>
    \ndf[<\/span>'sales'<\/span>]<\/span> =<\/span> pd.<\/span>to_numeric(<\/span>df[<\/span>'sales'<\/span>]<\/span>,<\/span> errors=<\/span>'coerce'<\/span>)<\/span>.<\/span>fillna(<\/span>0<\/span>)<\/span>
    \ndf[<\/span>'orders'<\/span>]<\/span> =<\/span> pd.<\/span>to_numeric(<\/span>df[<\/span>'orders'<\/span>]<\/span>,<\/span> errors=<\/span>'coerce'<\/span>)<\/span>.<\/span>fillna(<\/span>0<\/span>)<\/span>.<\/span>astype(<\/span>int<\/span>)<\/span><\/p>\n

    # 4. \u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/span>
    \nconn =<\/span> pymysql.<\/span>connect(<\/span>**<\/span>db_config)<\/span>
    \ncursor =<\/span> conn.<\/span>cursor(<\/span>)<\/span><\/p>\n

    # 5. \u4f7f\u7528 INSERT … ON DUPLICATE KEY UPDATE \u5b9e\u73b0\u63d2\u5165\u6216\u66f4\u65b0<\/span>
    \n# \u5982\u679c\u540c\u5e97\u94fa\u540c\u65e5\u671f\u5df2\u6709\u6570\u636e，\u5219\u66f4\u65b0；\u5426\u5219\u63d2\u5165<\/span>
    \ninsert_sql =<\/span> """
    \n INSERT INTO shop_daily_sales
    \n (platform, shop_name, report_date, sales, orders, visitors, conversion_rate, refund_amount)
    \n VALUES
    \n (%s, %s, %s, %s, %s, %s, %s, %s)
    \n ON DUPLICATE KEY UPDATE
    \n sales = VALUES(sales),
    \n orders = VALUES(orders),
    \n visitors = VALUES(visitors),
    \n conversion_rate = VALUES(conversion_rate),
    \n refund_amount = VALUES(refund_amount),
    \n updated_at = NOW()
    \n"""<\/span><\/p>\n

    # 6. \u9010\u884c\u5199\u5165<\/span>
    \nsuccess =<\/span> 0<\/span>
    \nfail =<\/span> 0<\/span>
    \nfor<\/span> idx,<\/span> row in<\/span> df.<\/span>iterrows(<\/span>)<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n cursor.<\/span>execute(<\/span>insert_sql,<\/span> (<\/span>
    \n row[<\/span>'platform'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'shop_name'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'report_date'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'sales'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'orders'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'visitors'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'conversion_rate'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'refund_amount'<\/span>]<\/span>
    \n )<\/span>)<\/span>
    \n success +=<\/span> 1<\/span>
    \n except<\/span> Exception as<\/span> e:<\/span>
    \n fail +=<\/span> 1<\/span>
    \n print<\/span>(<\/span>f"\u7b2c<\/span>{<\/span>idx}<\/span><\/span>\u884c\u5199\u5165\u5931\u8d25: <\/span>{<\/span>str<\/span>(<\/span>e)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \n print<\/span>(<\/span>f"\u6570\u636e: <\/span>{<\/span>row.<\/span>to_dict(<\/span>)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    # 7. \u63d0\u4ea4\u4e8b\u52a1\u5e76\u5173\u95ed\u8fde\u63a5<\/span>
    \nconn.<\/span>commit(<\/span>)<\/span>
    \ncursor.<\/span>close(<\/span>)<\/span>
    \nconn.<\/span>close(<\/span>)<\/span><\/p>\n

    print<\/span>(<\/span>f"\u5199\u5165\u5b8c\u6210! \u6210\u529f: <\/span>{<\/span>success}<\/span><\/span>\u6761, \u5931\u8d25: <\/span>{<\/span>fail}<\/span><\/span>\u6761"<\/span><\/span>)<\/span><\/p>\n

    \u6279\u91cf\u5199\u5165\u4f18\u5316<\/h4>\n

    \u5355\u6761INSERT\u5728\u5927\u6570\u636e\u91cf\u4e0b\u6548\u7387\u5f88\u4f4e\u3002\u6539\u7528\u6279\u91cf\u65b9\u5f0f：<\/p>\n

    # \u6279\u91cf\u5199\u5165（\u4e00\u6b21\u63d0\u4ea4\u591a\u6761，\u6548\u7387\u63d0\u534710\u500d+）<\/span>
    \n# \u6bcf500\u6761\u4e00\u6279<\/span>
    \nbatch_size =<\/span> 500<\/span>
    \ndata_tuples =<\/span> [<\/span>]<\/span><\/p>\n

    for<\/span> idx,<\/span> row in<\/span> df.<\/span>iterrows(<\/span>)<\/span>:<\/span>
    \n data_tuples.<\/span>append(<\/span>(<\/span>
    \n row[<\/span>'platform'<\/span>]<\/span>,<\/span> row[<\/span>'shop_name'<\/span>]<\/span>,<\/span> row[<\/span>'report_date'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'sales'<\/span>]<\/span>,<\/span> row[<\/span>'orders'<\/span>]<\/span>,<\/span> row[<\/span>'visitors'<\/span>]<\/span>,<\/span>
    \n row[<\/span>'conversion_rate'<\/span>]<\/span>,<\/span> row[<\/span>'refund_amount'<\/span>]<\/span>
    \n )<\/span>)<\/span><\/p>\n

    if<\/span> len<\/span>(<\/span>data_tuples)<\/span> >=<\/span> batch_size:<\/span>
    \n cursor.<\/span>executemany(<\/span>insert_sql,<\/span> data_tuples)<\/span>
    \n conn.<\/span>commit(<\/span>)<\/span>
    \n print<\/span>(<\/span>f"\u5df2\u5199\u5165<\/span>{<\/span>len<\/span>(<\/span>data_tuples)<\/span>}<\/span><\/span>\u6761"<\/span><\/span>)<\/span>
    \n data_tuples =<\/span> [<\/span>]<\/span><\/p>\n

    # \u5904\u7406\u5269\u4f59\u4e0d\u8db3\u4e00\u6279\u7684\u6570\u636e<\/span>
    \nif<\/span> data_tuples:<\/span>
    \n cursor.<\/span>executemany(<\/span>insert_sql,<\/span> data_tuples)<\/span>
    \n conn.<\/span>commit(<\/span>)<\/span>
    \n print<\/span>(<\/span>f"\u5df2\u5199\u5165\u6700\u540e<\/span>{<\/span>len<\/span>(<\/span>data_tuples)<\/span>}<\/span><\/span>\u6761"<\/span><\/span>)<\/span><\/p>\n

    Pandas\u4eceMySQL\u8bfb\u53d6\u6570\u636e\u505a\u5206\u6790<\/h3>\n

    \u6570\u636e\u5165\u5e93\u540e，\u5f71\u5200RPA\u53ef\u4ee5\u76f4\u63a5\u7528Pandas\u4eceMySQL\u8bfb\u53d6\u6570\u636e\u505a\u5206\u6790：<\/p>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    # \u4eceMySQL\u8bfb\u53d6\u8fd17\u5929\u6570\u636e\u505a\u6c47\u603b\u5206\u6790<\/span>
    \nimport<\/span> pandas as<\/span> pd
    \nfrom<\/span> sqlalchemy import<\/span> create_engine<\/p>\n

    # SQLAlchemy\u8fde\u63a5\u4e32<\/span>
    \ndb_url =<\/span> "mysql+pymysql:\/\/root:password@127.0.0.1:3306\/ecommerce_data?charset=utf8mb4"<\/span>
    \nengine =<\/span> create_engine(<\/span>db_url)<\/span><\/p>\n

    # \u8bfb\u53d6\u8fd17\u5929\u6570\u636e<\/span>
    \nsql =<\/span> """
    \n SELECT
    \n platform,
    \n shop_name,
    \n report_date,
    \n sales,
    \n orders,
    \n conversion_rate,
    \n refund_amount
    \n FROM shop_daily_sales
    \n WHERE report_date >= DATE_SUB(CURDATE(), INTERVAL 7 DAY)
    \n ORDER BY report_date DESC, sales DESC
    \n"""<\/span><\/p>\n

    df =<\/span> pd.<\/span>read_sql(<\/span>sql,<\/span> engine)<\/span><\/p>\n

    # Pandas\u5206\u6790：\u5404\u5e73\u53f0\u6c47\u603b<\/span>
    \nsummary =<\/span> df.<\/span>groupby(<\/span>'platform'<\/span>)<\/span>.<\/span>agg(<\/span>{<\/span>
    \n 'sales'<\/span>:<\/span> 'sum'<\/span>,<\/span>
    \n 'orders'<\/span>:<\/span> 'sum'<\/span>,<\/span>
    \n 'conversion_rate'<\/span>:<\/span> 'mean'<\/span>
    \n}<\/span>)<\/span>.<\/span>round<\/span>(<\/span>2<\/span>)<\/span><\/p>\n

    print<\/span>(<\/span>"\u8fd17\u5929\u5404\u5e73\u53f0\u6c47\u603b:"<\/span>)<\/span>
    \nprint<\/span>(<\/span>summary)<\/span><\/p>\n

    # Pandas\u5206\u6790：\u6bcf\u65e5\u8d8b\u52bf<\/span>
    \ndaily_trend =<\/span> df.<\/span>groupby(<\/span>'report_date'<\/span>)<\/span>[<\/span>'sales'<\/span>]<\/span>.<\/span>sum<\/span>(<\/span>)<\/span>
    \nprint<\/span>(<\/span>"\\\\n\u6bcf\u65e5\u9500\u552e\u989d\u8d8b\u52bf:"<\/span>)<\/span>
    \nprint<\/span>(<\/span>daily_trend)<\/span><\/p>\n

    # \u8f93\u51fa\u5230\u5f71\u5200\u53d8\u91cf（\u4f9b\u540e\u7eed\u98de\u4e66\u63a8\u9001\u4f7f\u7528）<\/span>
    \nflow.<\/span>set_variable(<\/span>"analysis_result"<\/span>,<\/span> summary.<\/span>to_json(<\/span>force_ascii=<\/span>False<\/span>)<\/span>)<\/span>
    \nflow.<\/span>set_variable(<\/span>"daily_trend"<\/span>,<\/span> daily_trend.<\/span>to_json(<\/span>force_ascii=<\/span>False<\/span>)<\/span>)<\/span><\/p>\n

    Pandas\u4e0e\u5f71\u5200Excel\u53cc\u5411\u4e92\u901a<\/h3>\n

    \u5f88\u591a\u65f6\u5019\u6570\u636e\u5728Excel\u548cMySQL\u4e4b\u95f4\u6765\u56de\u5012\u3002Pandas\u662f\u6700\u65b9\u4fbf\u7684\u4e2d\u95f4\u5c42：<\/p>\n

    # Excel \u2192 Pandas \u2192 MySQL<\/span>
    \ndf =<\/span> pd.<\/span>read_excel(<\/span>"\u5bfc\u51fa\u6570\u636e.xlsx"<\/span>)<\/span>
    \n# \u6e05\u6d17\u540e\u5199\u5165\u6570\u636e\u5e93…（\u4ee3\u7801\u540c\u4e0a）<\/span><\/p>\n

    # MySQL \u2192 Pandas \u2192 Excel<\/span>
    \ndf =<\/span> pd.<\/span>read_sql(<\/span>"SELECT * FROM shop_daily_sales WHERE report_date = CURDATE()"<\/span>,<\/span> engine)<\/span>
    \ndf.<\/span>to_excel(<\/span>"\u4eca\u65e5\u6570\u636e\u5bfc\u51fa.xlsx"<\/span>,<\/span> index=<\/span>False<\/span>)<\/span><\/p>\n

    # MySQL \u2192 Pandas \u2192 \u98de\u4e66\u591a\u7ef4\u8868\u683c<\/span>
    \ndf =<\/span> pd.<\/span>read_sql(<\/span>sql,<\/span> engine)<\/span>
    \n# \u8f6cJSON\u5199\u5165\u98de\u4e66Base…（\u8c03\u7528\u98de\u4e66API）<\/span><\/p>\n

    \u5b9a\u65f6\u6570\u636e\u6e05\u7406\u4e0e\u5907\u4efd<\/h3>\n

    \u6570\u636e\u5e93\u4e0d\u80fd\u65e0\u9650\u589e\u957f，\u9700\u8981\u5b9a\u671f\u6e05\u7406\u548c\u5907\u4efd：<\/p>\n

    \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

    # \u6570\u636e\u5f52\u6863\u811a\u672c：\u4fdd\u7559\u8fd190\u5929\u6570\u636e，\u8d85\u8fc790\u5929\u7684\u5bfc\u51fa\u4e3aCSV\u5907\u4efd<\/span>
    \nimport<\/span> pandas as<\/span> pd
    \nimport<\/span> pymysql
    \nfrom<\/span> datetime import<\/span> datetime,<\/span> timedelta<\/p>\n

    conn =<\/span> pymysql.<\/span>connect(<\/span>host=<\/span>"127.0.0.1"<\/span>,<\/span> user=<\/span>"root"<\/span>,<\/span> password=<\/span>"password"<\/span>,<\/span> database=<\/span>"ecommerce_data"<\/span>)<\/span><\/p>\n

    # \u67e5\u8be290\u5929\u524d\u7684\u6570\u636e<\/span>
    \ncutoff_date =<\/span> (<\/span>datetime.<\/span>now(<\/span>)<\/span> –<\/span> timedelta(<\/span>days=<\/span>90<\/span>)<\/span>)<\/span>.<\/span>strftime(<\/span>'%Y-%m-%d'<\/span>)<\/span>
    \nsql =<\/span> f"SELECT * FROM shop_daily_sales WHERE report_date < '<\/span>{<\/span>cutoff_date}<\/span><\/span>'"<\/span><\/span><\/p>\n

    df =<\/span> pd.<\/span>read_sql(<\/span>sql,<\/span> conn)<\/span><\/p>\n

    if<\/span> len<\/span>(<\/span>df)<\/span> ><\/span> 0<\/span>:<\/span>
    \n # \u5907\u4efd\u4e3aCSV<\/span>
    \n backup_file =<\/span> f"C:\\\\\\\\RPA_Backup\\\\\\\\shop_sales_before_<\/span>{<\/span>cutoff_date}<\/span><\/span>.csv"<\/span><\/span>
    \n df.<\/span>to_csv(<\/span>backup_file,<\/span> index=<\/span>False<\/span>,<\/span> encoding=<\/span>'utf-8-sig'<\/span>)<\/span>
    \n print<\/span>(<\/span>f"\u5df2\u5907\u4efd<\/span>{<\/span>len<\/span>(<\/span>df)<\/span>}<\/span><\/span>\u6761\u8bb0\u5f55\u5230: <\/span>{<\/span>backup_file}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    # \u5220\u9664\u5df2\u5907\u4efd\u6570\u636e<\/span>
    \n cursor =<\/span> conn.<\/span>cursor(<\/span>)<\/span>
    \n delete_sql =<\/span> f"DELETE FROM shop_daily_sales WHERE report_date < '<\/span>{<\/span>cutoff_date}<\/span><\/span>'"<\/span><\/span>
    \n cursor.<\/span>execute(<\/span>delete_sql)<\/span>
    \n conn.<\/span>commit(<\/span>)<\/span>
    \n print<\/span>(<\/span>f"\u5df2\u5220\u9664<\/span>{<\/span>len<\/span>(<\/span>df)<\/span>}<\/span><\/span>\u6761\u65e7\u8bb0\u5f55"<\/span><\/span>)<\/span>
    \nelse<\/span>:<\/span>
    \n print<\/span>(<\/span>"\u65e0\u9700\u8981\u6e05\u7406\u7684\u6570\u636e"<\/span>)<\/span><\/p>\n

    conn.<\/span>close(<\/span>)<\/span><\/p>\n

    \u5728\u5f71\u5200RPA\u4e2d\u628a\u8fd9\u4e2a\u811a\u672c\u8bbe\u4e3a\u6bcf\u67081\u53f7\u81ea\u52a8\u6267\u884c，\u907f\u514d\u6570\u636e\u5e93\u81a8\u80c0\u3002<\/p>\n

    \u5e38\u89c1\u95ee\u9898\/\u6613\u9519\u901f\u67e5<\/h3>\n\n\u95ee\u9898\u539f\u56e0\u89e3\u51b3<\/tr>\n\n\n\n\n\n\n
    pymysql\u8fde\u63a5\u62a5\u95192003<\/td>\nMySQL\u670d\u52a1\u672a\u542f\u52a8<\/td>\nWin+R\u2192services.msc\u2192\u627e\u5230MySQL80\u2192\u542f\u52a8<\/td>\n<\/tr>\n
    \u4e2d\u6587\u5199\u5165\u540e\u67e5\u8be2\u663e\u793a\u4e71\u7801<\/td>\n\u5b57\u7b26\u96c6\u4e0d\u662futf8mb4<\/td>\n\u68c0\u67e5\u5efa\u8868\u8bed\u53e5，\u5fc5\u987b\u6307\u5b9a CHARSET=utf8mb4<\/td>\n<\/tr>\n
    INSERT\u91cd\u590d\u6570\u636e\u65f6\u4e0d\u66f4\u65b0<\/td>\n\u6ca1\u8bbeUNIQUE KEY<\/td>\n\u5efa\u8868\u65f6\u6dfb\u52a0 UNIQUE KEY uk_shop_date(…)<\/td>\n<\/tr>\n
    Pandas\u8bfbMySQL\u901f\u5ea6\u6162<\/td>\n\u6ca1\u6709\u5efa\u7d22\u5f15<\/td>\n\u5728\u67e5\u8be2\u6761\u4ef6\u7684\u5217\u4e0a\u5efa\u7d22\u5f15<\/td>\n<\/tr>\n
    ON DUPLICATE KEY\u6ca1\u751f\u6548<\/td>\n\u4e3b\u952e\u51b2\u7a81\u800c\u975e\u552f\u4e00\u952e\u51b2\u7a81<\/td>\n\u786e\u4fdd\u51b2\u7a81\u7684\u5217\u662fUNIQUE KEY\u800c\u975ePRIMARY KEY<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u63a8\u8350\u8d44\u6e90<\/h3>\n
      \n
    • MySQL\u5b98\u65b9\u6587\u6863\u2014\u2014\u5efa\u8868\u8bed\u53e5\u548c\u7d22\u5f15\u4f18\u5316\u53c2\u8003<\/li>\n
    • Pandas\u4e2d\u6587\u6587\u6863 read_sql \u7ae0\u8282\u2014\u2014\u4e86\u89e3\u6570\u636e\u5e93\u67e5\u8be2\u7684\u5b8c\u6574\u53c2\u6570<\/li>\n
    • DBeaver（\u514d\u8d39\u6570\u636e\u5e93\u7ba1\u7406\u5de5\u5177）\u2014\u2014\u53ef\u89c6\u5316\u67e5\u770bMySQL\u6570\u636e，\u6bd4\u547d\u4ee4\u884c\u65b9\u4fbf<\/li>\n
    • \"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/li>\n<\/ul>\n
      \n

      #\u5f71\u5200RPA #RPA\u81ea\u52a8\u5316 #MySQL #\u6570\u636e\u5e93 #Pandas #\u6570\u636e\u6e05\u6d17 #\u7535\u5546\u6570\u636e #\u6570\u636e\u5b58\u50a8<\/p>\n

      \u4f5c\u8005：\u6797\u7131<\/p>\n

      \u672c\u6587\u4e3a\u300a\u5f71\u5200RPA\u5b66\u4e60\u624b\u518c\u300b\u7cfb\u5217\u6587\u7ae0\u4e4b\u4e00，\u5185\u5bb9\u6e90\u4e8e\u5b9e\u64cd\u7ecf\u9a8c\u7684\u6574\u7406\u4e0e\u5206\u4eab\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u5f71\u5200RPA\u8fdb\u9636\u6559\u7a0b：MySQL\u6570\u636e\u5e93\u8bfb\u5199\u4e0ePandas\u6570\u636e\u4e92\u901a\u5b9e\u6218
      \nExcel\u6587\u4ef6\u8d8a\u6765\u8d8a\u591a，\u4e00\u4e2a\u65e5\u62a5\u6c47\u603b\u8868\u4e09\u4e2a\u6708\u5c31\u81a8\u80c0\u523050MB，\u6253\u5f00\u90fd\u8981\u7b49\u5341\u51e0\u79d2\u3002\u5e97\u7fa4\u6570\u636e\u505a\u5230\u4e00\u5b9a\u89c4\u6a21，\u5fc5\u987b\u8981\u4e0a\u6570\u636e\u5e93\u2014\u2014MySQL\u662f\u6700\u5408\u9002\u7684\u9009\u62e9\u3002\u4f46\u5f71\u5200RPA\u672c\u8eab\u6ca1\u6709\u5185\u7f6e\u6570\u636e\u5e93\u64cd\u4f5c\u6307\u4ee4，\u6570\u636e\u600e\u4e48\u843d\u5730\u6210\u4e86\u96be\u9898\u3002
      \n\u7528Python\u6865\u63a5\u5f71\u5200RPA\u548cMySQL，Pandas\u505a\u4e2d\u95f4\u5c42，\u6570\u636e\u6d41\u5c31\u80fd\u8dd1\u901a\u3002
      \n\u6211\u4e5f\u662f\u975e\u6280\u672f\u80cc\u666f&#x<\/p>\n","protected":false},"author":2,"featured_media":116548,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[9098,11534,9823,9146,9145,4840],"topic":[],"class_list":["post-116555","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-it","tag-python","tag-rpa","tag-9146","tag-9145","tag-4840"],"yoast_head":"\n\u5f71\u5200RPA\u8fdb\u9636\u6559\u7a0b\uff1aMySQL\u6570\u636e\u5e93\u8bfb\u5199\u4e0ePandas\u6570\u636e\u4e92\u901a\u5b9e\u6218 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/116555.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u5f71\u5200RPA\u8fdb\u9636\u6559\u7a0b\uff1aMySQL\u6570\u636e\u5e93\u8bfb\u5199\u4e0ePandas\u6570\u636e\u4e92\u901a\u5b9e\u6218 - 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