{"id":4079,"date":"2025-10-18T11:57:23","date_gmt":"2025-10-18T03:57:23","guid":{"rendered":"http:\/\/viplao.com\/?p=4079"},"modified":"2025-10-18T11:58:48","modified_gmt":"2025-10-18T03:58:48","slug":"%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e8%bf%9b%e9%98%b6%e7%af%87%e3%80%91-%e6%95%b0%e6%8d%ae%e6%8a%a5%e5%91%8a%e4%b8%8e%e8%87%aa%e5%8a%a8%e5%8c%96","status":"publish","type":"post","link":"http:\/\/viplao.com\/index.php\/2025\/10\/18\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e8%bf%9b%e9%98%b6%e7%af%87%e3%80%91-%e6%95%b0%e6%8d%ae%e6%8a%a5%e5%91%8a%e4%b8%8e%e8%87%aa%e5%8a%a8%e5%8c%96\/","title":{"rendered":"\u3010\u8fd0\u8425\u6570\u636e\u5206\u6790-\u8fdb\u9636\u7bc7\u3011 \u6570\u636e\u62a5\u544a\u4e0e\u81ea\u52a8\u5316"},"content":{"rendered":"\n<h4 class=\"wp-block-heading\"><strong>8.1 \u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\u4e0e\u6e05\u6d17<\/strong><\/h4>\n\n\n\n<p><strong>\u3010\u7406\u8bba\u8bb2\u89e3\u3011<\/strong><\/p>\n\n\n\n<p>\u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u75db\u70b9\u662f\u91cd\u590d\u6027\u7684\u6570\u636e\u62bd\u53d6\u548c\u6e05\u6d17\u5de5\u4f5c\u3002\u901a\u8fc7\u81ea\u52a8\u5316\uff0c\u6211\u4eec\u53ef\u4ee5\u5927\u5927\u63d0\u9ad8\u6548\u7387\uff0c\u51cf\u5c11\u4eba\u5de5\u9519\u8bef\uff0c\u786e\u4fdd\u6570\u636e\u7684\u65b0\u9c9c\u5ea6\u548c\u51c6\u786e\u6027\u3002<\/p>\n\n\n\n<p><strong>\u6838\u5fc3\u6280\u672f\uff1a<\/strong><\/p>\n\n\n\n<ul>\n<li><strong>\u5b9a\u65f6\u4efb\u52a1\uff1a<\/strong>&nbsp;\u5229\u7528\u64cd\u4f5c\u7cfb\u7edf\u6216Python\u5e93\uff0c\u5728\u7279\u5b9a\u65f6\u95f4\u81ea\u52a8\u8fd0\u884c\u811a\u672c\u3002<\/li>\n\n\n\n<li><strong>API\u63a5\u53e3\uff1a<\/strong>&nbsp;\u4ece\u7535\u5546\u5e73\u53f0\u3001\u5e7f\u544a\u5e73\u53f0\u7b49\u5f00\u653e\u63a5\u53e3\u81ea\u52a8\u83b7\u53d6\u6570\u636e\u3002<\/li>\n\n\n\n<li><strong>Web Scraping (\u7f51\u7edc\u722c\u866b)\uff1a<\/strong>&nbsp;\u4ece\u7f51\u9875\u4e0a\u6293\u53d6\u6570\u636e\uff08\u9700\u6ce8\u610f\u5408\u6cd5\u6027\u548c\u9053\u5fb7\u6027\uff09\u3002<\/li>\n<\/ul>\n\n\n\n<p><strong>\u3010\u81ea\u52a8\u751f\u6210\u6570\u636e\u96c6\u4e0e\u4ee3\u7801\u5b9e\u4f8b\u3011<\/strong><\/p>\n\n\n\n<p>\u6211\u4eec\u5c06\u6a21\u62df\u4e00\u4e2a\u6bcf\u5929\u66f4\u65b0\u7684\u9500\u552e\u6570\u636e\u6587\u4ef6\uff0c\u5e76\u6f14\u793a\u5982\u4f55\u5b9a\u65f6\u8bfb\u53d6\u548c\u6e05\u6d17\u3002<\/p>\n\n\n\n<p>python<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>import pandas as pd\nimport numpy as np\nfrom datetime import datetime, timedelta\nimport os\nimport time # \u7528\u4e8e\u6a21\u62df\u5b9a\u65f6\u4efb\u52a1\u7684\u5ef6\u8fdf\n\n# --- \u6570\u636e\u96c6\u751f\u6210 (\u6a21\u62df\u6bcf\u65e5\u66f4\u65b0\u7684\u9500\u552e\u6570\u636e) ---\nnp.random.seed(42)\n\ndef generate_daily_sales_file(date, filename_prefix='daily_sales_', num_records=50):\n    data = &#91;]\n    product_ids = &#91;f'P{i:03d}' for i in range(10)]\n    user_ids = &#91;f'U{i:04d}' for i in range(20)]\n    \n    for _ in range(num_records):\n        order_id = f'ORD{date.strftime(\"%Y%m%d\")}{_ + 1:03d}'\n        user_id = np.random.choice(user_ids)\n        product_id = np.random.choice(product_ids)\n        price = round(np.random.uniform(20, 500), 2)\n        quantity = np.random.randint(1, 5)\n        # \u6a21\u62df\u4e00\u4e9b\u7f3a\u5931\u503c\n        if np.random.rand() &lt; 0.05: # 5%\u7684\u6982\u7387\u7f3a\u5931\u4ef7\u683c\n            price = np.nan\n        if np.random.rand() &lt; 0.02: # 2%\u7684\u6982\u7387\u7f3a\u5931\u6570\u91cf\n            quantity = np.nan\n        \n        data.append(&#91;order_id, user_id, product_id, price, quantity, date.strftime('%Y-%m-%d %H:%M:%S')])\n    \n    df_daily = pd.DataFrame(data, columns=&#91;'order_id', 'user_id', 'product_id', 'price', 'quantity', 'order_time'])\n    \n    # \u5199\u5165CSV\u6587\u4ef6\n    filename = f\"{filename_prefix}{date.strftime('%Y%m%d')}.csv\"\n    df_daily.to_csv(filename, index=False)\n    print(f\"\u751f\u6210\u5e76\u4fdd\u5b58\u6587\u4ef6: {filename}\")\n    return filename\n\n# \u6a21\u62df\u751f\u6210\u8fc7\u53bb3\u5929\u7684\u6bcf\u65e5\u9500\u552e\u6570\u636e\nstart_date_gen = datetime.now() - timedelta(days=3)\ngenerated_files = &#91;]\nfor i in range(4):\n    generated_files.append(generate_daily_sales_file(start_date_gen + timedelta(days=i)))\n\n# --- \u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\u4e0e\u6e05\u6d17\u811a\u672c ---\nprint(\"\\n--- \u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\u4e0e\u6e05\u6d17\u811a\u672c ---\")\n\ndef automated_data_pipeline(data_folder='.\/', last_processed_date=None):\n    \"\"\"\n    \u81ea\u52a8\u4ece\u6307\u5b9a\u6587\u4ef6\u5939\u8bfb\u53d6\u65b0\u7684\u9500\u552e\u6570\u636e\u6587\u4ef6\uff0c\u8fdb\u884c\u6e05\u6d17\u548c\u5408\u5e76\u3002\n    \"\"\"\n    all_data_frames = &#91;]\n    \n    # \u83b7\u53d6\u6240\u6709\u9500\u552e\u6587\u4ef6\n    sales_files = &#91;f for f in os.listdir(data_folder) if f.startswith('daily_sales_') and f.endswith('.csv')]\n    sales_files.sort() # \u6309\u6587\u4ef6\u540d\u6392\u5e8f\uff0c\u786e\u4fdd\u6309\u65e5\u671f\u987a\u5e8f\u5904\u7406\n\n    for file_name in sales_files:\n        file_date_str = file_name.replace('daily_sales_', '').replace('.csv', '')\n        file_date = datetime.strptime(file_date_str, '%Y%m%d').date()\n\n        # \u53ea\u5904\u7406\u6bd4\u4e0a\u6b21\u5904\u7406\u65e5\u671f\u65b0\u7684\u6587\u4ef6\n        if last_processed_date and file_date &lt;= last_processed_date:\n            print(f\"\u8df3\u8fc7\u5df2\u5904\u7406\u6587\u4ef6: {file_name}\")\n            continue\n            \n        print(f\"\u6b63\u5728\u5904\u7406\u6587\u4ef6: {file_name}\")\n        file_path = os.path.join(data_folder, file_name)\n        df_daily = pd.read_csv(file_path)\n        \n        # --- \u6570\u636e\u6e05\u6d17 ---\n        # 1. \u6570\u636e\u7c7b\u578b\u8f6c\u6362\n        df_daily&#91;'order_time'] = pd.to_datetime(df_daily&#91;'order_time'])\n        \n        # 2. \u7f3a\u5931\u503c\u5904\u7406 (\u8fd9\u91cc\u7b80\u5355\u586b\u5145\uff0c\u5b9e\u9645\u6839\u636e\u4e1a\u52a1\u9700\u6c42)\n        df_daily&#91;'price'].fillna(df_daily&#91;'price'].mean(), inplace=True)\n        df_daily&#91;'quantity'].fillna(df_daily&#91;'quantity'].median(), inplace=True)\n        \n        # 3. \u5f02\u5e38\u503c\u5904\u7406 (\u8fd9\u91cc\u7b80\u5355\u8fc7\u6ee4\u6389\u4ef7\u683c\u6216\u6570\u91cf\u4e3a\u8d1f\u7684\uff0c\u5b9e\u9645\u53ef\u80fd\u7528Z-score\u7b49)\n        df_daily = df_daily&#91;df_daily&#91;'price'] &gt;= 0]\n        df_daily = df_daily&#91;df_daily&#91;'quantity'] &gt;= 0]\n        \n        # 4. \u884d\u751f\u65b0\u7279\u5f81\n        df_daily&#91;'total_amount'] = df_daily&#91;'price'] * df_daily&#91;'quantity']\n        \n        all_data_frames.append(df_daily)\n        \n    if all_data_frames:\n        # \u5408\u5e76\u6240\u6709\u5904\u7406\u540e\u7684\u6570\u636e\n        df_combined = pd.concat(all_data_frames, ignore_index=True)\n        print(f\"\\n\u6210\u529f\u5408\u5e76 {len(all_data_frames)} \u4e2a\u6587\u4ef6\uff0c\u603b\u6570\u636e\u91cf: {len(df_combined)} \u6761\")\n        # \u66f4\u65b0\u4e0a\u6b21\u5904\u7406\u65e5\u671f\n        new_last_processed_date = max(&#91;datetime.strptime(f.replace('daily_sales_', '').replace('.csv', ''), '%Y%m%d').date() for f in sales_files if datetime.strptime(f.replace('daily_sales_', '').replace('.csv', ''), '%Y%m%d').date() &gt; (last_processed_date if last_processed_date else datetime.min.date())])\n        return df_combined, new_last_processed_date\n    else:\n        print(\"\\n\u6ca1\u6709\u65b0\u7684\u6587\u4ef6\u9700\u8981\u5904\u7406\u3002\")\n        return pd.DataFrame(), last_processed_date\n\n# \u7b2c\u4e00\u6b21\u8fd0\u884c\uff1a\u5904\u7406\u6240\u6709\u5386\u53f2\u6570\u636e\ncurrent_processed_date = None\ncombined_df, current_processed_date = automated_data_pipeline(last_processed_date=current_processed_date)\nprint(\"\\n\u7b2c\u4e00\u6b21\u8fd0\u884c\u540e\u7684\u5408\u5e76\u6570\u636e\u9884\u89c8:\\n\", combined_df.head())\nprint(f\"\u5f53\u524d\u5df2\u5904\u7406\u5230\u65e5\u671f: {current_processed_date}\")\n\n# \u6a21\u62df\u7b2c\u4e8c\u5929\u6709\u65b0\u6570\u636e\u751f\u6210\uff0c\u7136\u540e\u518d\u6b21\u8fd0\u884c\nprint(\"\\n--- \u6a21\u62df\u7b2c\u4e8c\u5929\u6709\u65b0\u6570\u636e\uff0c\u518d\u6b21\u8fd0\u884c ---\")\nnew_day_date = start_date_gen + timedelta(days=4)\ngenerate_daily_sales_file(new_day_date)\n\n# \u518d\u6b21\u8fd0\u884c\u81ea\u52a8\u5316\u811a\u672c\ntime.sleep(1) # \u6a21\u62df\u5ef6\u8fdf\ncombined_df_updated, current_processed_date = automated_data_pipeline(last_processed_date=current_processed_date)\nprint(\"\\n\u7b2c\u4e8c\u6b21\u8fd0\u884c\u540e\u7684\u5408\u5e76\u6570\u636e\u9884\u89c8:\\n\", combined_df_updated.head())\nprint(f\"\u5f53\u524d\u5df2\u5904\u7406\u5230\u65e5\u671f: {current_processed_date}\")\n\n# \u3010\u8fd0\u8425\u7b56\u7565\u5efa\u8bae\u3011\nprint(\"\\n--- \u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\u4e0e\u6e05\u6d17\u7684\u8fd0\u8425\u4ef7\u503c ---\")\nprint(\"1. **\u6570\u636e\u5b9e\u65f6\u6027:** \u786e\u4fdd\u8fd0\u8425\u5206\u6790\u57fa\u4e8e\u6700\u65b0\u6570\u636e\uff0c\u5feb\u901f\u54cd\u5e94\u5e02\u573a\u53d8\u5316\u3002\")\nprint(\"2. **\u51cf\u5c11\u9519\u8bef:** \u81ea\u52a8\u5316\u6d41\u7a0b\u51cf\u5c11\u4eba\u5de5\u5e72\u9884\uff0c\u964d\u4f4e\u6570\u636e\u5904\u7406\u9519\u8bef\u7387\u3002\")\nprint(\"3. **\u63d0\u9ad8\u6548\u7387:** \u91ca\u653e\u6570\u636e\u5206\u6790\u5e08\u7684\u65f6\u95f4\uff0c\u8ba9\u4ed6\u4eec\u4e13\u6ce8\u4e8e\u66f4\u9ad8\u4ef7\u503c\u7684\u5206\u6790\u548c\u6d1e\u5bdf\u3002\")<\/code><\/pre>\n\n\n\n<p><strong>\u3010\u4e92\u52a8\u95ee\u7b54\u3011<\/strong><\/p>\n\n\n\n<ul>\n<li>\u4e3a\u4ec0\u4e48\u9700\u8981\u5b9a\u65f6\u4efb\u52a1\u6765\u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\uff1f<\/li>\n\n\n\n<li>API\u63a5\u53e3\u548cWeb Scraping\u5728\u6570\u636e\u83b7\u53d6\u65b9\u9762\u5404\u6709\u4ec0\u4e48\u4f18\u7f3a\u70b9\uff1f<\/li>\n\n\n\n<li>\u5728\u81ea\u52a8\u5316\u6e05\u6d17\u811a\u672c\u4e2d\uff0c\u5982\u4f55\u5904\u7406\u4e0d\u540c\u6587\u4ef6\u53ef\u80fd\u5b58\u5728\u7684\u5217\u540d\u4e0d\u4e00\u81f4\u95ee\u9898\uff1f<\/li>\n\n\n\n<li>\u5982\u4f55\u786e\u4fdd\u81ea\u52a8\u5316\u811a\u672c\u5728\u51fa\u73b0\u9519\u8bef\u65f6\u80fd\u591f\u53ca\u65f6\u901a\u77e5\u6211\u4eec\uff1f\uff08\u63d0\u793a\uff1a\u65e5\u5fd7\u8bb0\u5f55\u3001\u90ae\u4ef6\u901a\u77e5\uff09<\/li>\n\n\n\n<li>\u9664\u4e86\u8bfb\u53d6CSV\uff0c\u4f60\u8fd8\u80fd\u60f3\u5230\u54ea\u4e9b\u5e38\u7528\u7684\u6570\u636e\u6e90\u9700\u8981\u81ea\u52a8\u5316\u62bd\u53d6\uff1f<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>8.1 \u81ea\u52a8\u5316\u6570\u636e\u62bd\u53d6\u4e0e\u6e05\u6d17 \u3010\u7406\u8bba\u8bb2\u89e3\u3011 \u6570\u636e\u5206\u6790\u7684\u4e00\u4e2a\u75db\u70b9\u662f\u91cd\u590d\u6027\u7684\u6570\u636e\u62bd\u53d6\u548c\u6e05\u6d17\u5de5\u4f5c\u3002\u901a\u8fc7\u81ea\u52a8&hellip; <a href=\"http:\/\/viplao.com\/index.php\/2025\/10\/18\/%e3%80%90%e8%bf%90%e8%90%a5%e6%95%b0%e6%8d%ae%e5%88%86%e6%9e%90-%e8%bf%9b%e9%98%b6%e7%af%87%e3%80%91-%e6%95%b0%e6%8d%ae%e6%8a%a5%e5%91%8a%e4%b8%8e%e8%87%aa%e5%8a%a8%e5%8c%96\/\" class=\"more-link read-more\" rel=\"bookmark\">\u7ee7\u7eed\u9605\u8bfb <span class=\"screen-reader-text\">\u3010\u8fd0\u8425\u6570\u636e\u5206\u6790-\u8fdb\u9636\u7bc7\u3011 \u6570\u636e\u62a5\u544a\u4e0e\u81ea\u52a8\u5316<\/span><i class=\"fa fa-arrow-right\"><\/i><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[28],"views":573,"_links":{"self":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4079"}],"collection":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/comments?post=4079"}],"version-history":[{"count":2,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4079\/revisions"}],"predecessor-version":[{"id":4098,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/posts\/4079\/revisions\/4098"}],"wp:attachment":[{"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/media?parent=4079"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/categories?post=4079"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/viplao.com\/index.php\/wp-json\/wp\/v2\/tags?post=4079"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}