{"id":6023,"date":"2025-08-01T18:18:33","date_gmt":"2025-08-01T10:18:33","guid":{"rendered":"http:\/\/czliutz.pgrm.cc\/?p=6023"},"modified":"2025-08-01T18:18:34","modified_gmt":"2025-08-01T10:18:34","slug":"%e8%82%a1%e7%a5%a8%e5%9f%ba%e6%9c%ac%e7%89%b9%e5%be%81%e8%ae%a1%e7%ae%97%e7%bb%98%e5%9b%be","status":"publish","type":"post","link":"http:\/\/qbtobjow.ipyingshe.net:5347\/?p=6023","title":{"rendered":"\u80a1\u7968\u57fa\u672c\u7279\u5f81\u8ba1\u7b97\u7ed8\u56fe"},"content":{"rendered":"\n<pre class=\"wp-block-code\"><code>import akshare as ak\nfrom numba.core.event import end_event\nimport pandas as pd\nimport numpy as np\nimport time\nimport os\n\n# \u5c1d\u8bd5\u83b7\u53d6\u6570\u636e\uff0c\u6dfb\u52a0\u9519\u8bef\u5904\u7406\nmax_retries = 3\nretry_count = 0\nstock_data = None\n\ndata_file = 'stock_data.csv'\n\n# \u68c0\u67e5\u662f\u5426\u5df2\u6709\u6570\u636e\u6587\u4ef6\nif os.path.exists(data_file):\n    print(f\"\u4ece\u672c\u5730\u6587\u4ef6 {data_file} \u52a0\u8f7d\u6570\u636e...\")\n    try:\n        stock_data = pd.read_csv(data_file, encoding='utf-8')\n        print(\"\u6570\u636e\u52a0\u8f7d\u6210\u529f\uff01\")\n    except Exception as e:\n        print(f\"\u52a0\u8f7d\u672c\u5730\u6570\u636e\u5931\u8d25: {e}\")\n        stock_data = None\n\n# \u5982\u679c\u6ca1\u6709\u672c\u5730\u6570\u636e\uff0c\u5c1d\u8bd5\u4eceakshare\u83b7\u53d6\nwhile retry_count &lt; max_retries and stock_data is None:\n    try:\n        print(f\"\u5c1d\u8bd5\u7b2c {retry_count+1}\/{max_retries} \u6b21\u83b7\u53d6\u80a1\u7968\u6570\u636e...\")\n        stock_data = ak.stock_zh_a_hist(\n            symbol=\"000937\",  # \u80a1\u7968\u4ee3\u7801\n            start_date=\"20230101\",  # \u5f00\u59cb\u65e5\u671f\n            end_date=\"20250801\",  # \u7ed3\u675f\u65e5\u671f\n            adjust=\"qfq\"  # \u524d\u590d\u6743\n        )\n        # \u4fdd\u5b58\u6570\u636e\u5230\u672c\u5730\uff0c\u4ee5\u4fbf\u4e0b\u6b21\u4f7f\u7528\n        stock_data.to_csv(data_file, index=False, encoding='utf-8')\n        print(\"\u6570\u636e\u83b7\u53d6\u5e76\u4fdd\u5b58\u6210\u529f\uff01\")\n    except Exception as e:\n        print(f\"\u83b7\u53d6\u6570\u636e\u5931\u8d25: {e}\")\n        retry_count += 1\n        if retry_count &lt; max_retries:\n            print(f\"{5}\u79d2\u540e\u91cd\u8bd5...\")\n            time.sleep(5)\n\nif stock_data is None:\n    print(\"\u591a\u6b21\u5c1d\u8bd5\u83b7\u53d6\u6570\u636e\u5931\u8d25\uff0c\u8bf7\u68c0\u67e5\u7f51\u7edc\u8fde\u63a5\u540e\u518d\u8bd5\u3002\")\n    exit(1)\n\n# \u79fb\u9664\u7f3a\u5931\u503c\nstock_data = stock_data.dropna()\nprint(stock_data.head())\n\n# \u6682\u65f6\u6ce8\u91ca\u6389\u5b9e\u65f6\u884c\u60c5\u83b7\u53d6\uff0c\u907f\u514d\u989d\u5916\u7684\u7f51\u7edc\u8bf7\u6c42\n# # \u83b7\u53d6A\u80a1\u6240\u6709\u80a1\u7968\u5b9e\u65f6\u884c\u60c5\n# real_time_data = ak.stock_zh_a_spot_em()\n# \n# # \u7b5b\u9009\u7279\u5b9a\u80a1\u7968\n# stock_code = \"000937\"\n# filtered_data = real_time_data&#91;real_time_data&#91;\"\u4ee3\u7801\"] == stock_code]\n# print(filtered_data.head())\n# \u8ba1\u7b97\u79fb\u52a8\u5e73\u5747\u7ebf(MA)\nstock_data&#91;'MA5'] = stock_data&#91;'\u6536\u76d8'].rolling(window=5).mean()  # 5\u65e5\u5747\u7ebf\nstock_data&#91;'MA10'] = stock_data&#91;'\u6536\u76d8'].rolling(window=10).mean()  # 10\u65e5\u5747\u7ebf\nstock_data&#91;'MA20'] = stock_data&#91;'\u6536\u76d8'].rolling(window=20).mean()  # 20\u65e5\u5747\u7ebf\n\n# \u8ba1\u7b97MACD\u6307\u6807\nstock_data&#91;'EMA12'] = stock_data&#91;'\u6536\u76d8'].ewm(span=12, adjust=False).mean()\nstock_data&#91;'EMA26'] = stock_data&#91;'\u6536\u76d8'].ewm(span=26, adjust=False).mean()\nstock_data&#91;'DIF'] = stock_data&#91;'EMA12'] - stock_data&#91;'EMA26']\nstock_data&#91;'DEA'] = stock_data&#91;'DIF'].ewm(span=9, adjust=False).mean()\nstock_data&#91;'MACD'] = (stock_data&#91;'DIF'] - stock_data&#91;'DEA']) * 2\n\n# \u8ba1\u7b97\u76f8\u5bf9\u5f3a\u5f31\u6307\u6570(RSI)\ndelta = stock_data&#91;'\u6536\u76d8'].diff(1)\ngain = (delta.where(delta > 0, 0)).rolling(window=14).mean()\nloss = (-delta.where(delta &lt; 0, 0)).rolling(window=14).mean()\nstock_data&#91;'RSI'] = 100 - (100 \/ (1 + gain \/ loss))\n\n# \u8ba1\u7b97\u5e03\u6797\u5e26\nstock_data&#91;'BB_MID'] = stock_data&#91;'\u6536\u76d8'].rolling(window=20).mean()\nstock_data&#91;'BB_UP'] = stock_data&#91;'BB_MID'] + 2 * stock_data&#91;'\u6536\u76d8'].rolling(window=20).std()\nstock_data&#91;'BB_LOW'] = stock_data&#91;'BB_MID'] - 2 * stock_data&#91;'\u6536\u76d8'].rolling(window=20).std()\n\n#. \u6ce2\u52a8\u7387\u7279\u5f81\n# \u8ba1\u7b97\u65e5\u6536\u76ca\u7387\nstock_data&#91;'return'] = stock_data&#91;'\u6536\u76d8'].pct_change()\n\n# \u8ba1\u7b97\u6ce2\u52a8\u7387(\u6807\u51c6\u5dee)\nstock_data&#91;'volatility_5d'] = stock_data&#91;'return'].rolling(window=5).std() * np.sqrt(5)\nstock_data&#91;'volatility_20d'] = stock_data&#91;'return'].rolling(window=20).std() * np.sqrt(20)\n## . \u91cf\u4ef7\u5173\u7cfb\u7279\u5f81\n# \u8ba1\u7b97\u91cf\u6bd4\nstock_data&#91;'volume_ratio'] = stock_data&#91;'\u6210\u4ea4\u91cf'] \/ stock_data&#91;'\u6210\u4ea4\u91cf'].rolling(window=5).mean()\n# \u8ba1\u7b97\u6210\u4ea4\u989d\nstock_data&#91;'amount'] = stock_data&#91;'\u6536\u76d8'] * stock_data&#91;'\u6210\u4ea4\u91cf']\n# \u8ba1\u7b97\u8d44\u91d1\u6d41\u5411(\u7b80\u6613\u7248)\nstock_data&#91;'money_flow'] = (stock_data&#91;'\u6536\u76d8'] - stock_data&#91;'\u5f00\u76d8']) * stock_data&#91;'\u6210\u4ea4\u91cf']\n# \u57fa\u672c\u9762\u7279\u5f81\n# 4. \u53ef\u89c6\u5316\u7279\u5f81\u6307\u6807\nimport matplotlib.pyplot as plt\nimport matplotlib.dates as mdates\nfrom matplotlib.ticker import MaxNLocator\n\n# \u8bbe\u7f6e\u4e2d\u6587\u663e\u793a\nplt.rcParams&#91;\"font.family\"] = &#91;\"SimHei\", \"WenQuanYi Micro Hei\", \"Heiti TC\"]\nplt.rcParams&#91;'axes.unicode_minus'] = False  # \u89e3\u51b3\u8d1f\u53f7\u663e\u793a\u95ee\u9898\n\n# \u521b\u5efa\u753b\u5e03\u548c\u5b50\u56fe\nfig, axes = plt.subplots(4, 1, figsize=(12, 16), sharex=True)\n\n# 1. \u7ed8\u5236\u4ef7\u683c\u548c\u79fb\u52a8\u5e73\u5747\u7ebf\nax1 = axes&#91;0]\nax1.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'\u6536\u76d8'], label='\u6536\u76d8\u4ef7', color='blue')\nax1.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'MA5'], label='MA5', color='red')\nax1.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'MA10'], label='MA10', color='green')\nax1.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'MA20'], label='MA20', color='orange')\nax1.set_title('\u80a1\u7968\u4ef7\u683c\u4e0e\u79fb\u52a8\u5e73\u5747\u7ebf')\nax1.set_ylabel('\u4ef7\u683c')\nax1.legend()\nax1.grid(True)\n\n# 2. \u7ed8\u5236MACD\nax2 = axes&#91;1]\nax2.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'DIF'], label='DIF', color='blue')\nax2.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'DEA'], label='DEA', color='red')\nax2.bar(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'MACD'], label='MACD', color='green', alpha=0.5)\nax2.set_title('MACD\u6307\u6807')\nax2.set_ylabel('\u503c')\nax2.legend()\nax2.grid(True)\n\n# 3. \u7ed8\u5236RSI\nax3 = axes&#91;2]\nax3.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'RSI'], label='RSI', color='purple')\nax3.axhline(y=70, color='red', linestyle='--', label='\u8d85\u4e70\u7ebf(70)')\nax3.axhline(y=30, color='green', linestyle='--', label='\u8d85\u5356\u7ebf(30)')\nax3.set_title('\u76f8\u5bf9\u5f3a\u5f31\u6307\u6570(RSI)')\nax3.set_ylabel('RSI\u503c')\nax3.set_ylim(0, 100)\nax3.legend()\nax3.grid(True)\n\n# 4. \u7ed8\u5236\u5e03\u6797\u5e26\nax4 = axes&#91;3]\nax4.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'\u6536\u76d8'], label='\u6536\u76d8\u4ef7', color='blue')\nax4.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'BB_MID'], label='\u4e2d\u8f68', color='black')\nax4.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'BB_UP'], label='\u4e0a\u8f68', color='red', linestyle='--')\nax4.plot(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'BB_LOW'], label='\u4e0b\u8f68', color='green', linestyle='--')\nax4.fill_between(stock_data&#91;'\u65e5\u671f'], stock_data&#91;'BB_UP'], stock_data&#91;'BB_LOW'], color='gray', alpha=0.1)\nax4.set_title('\u5e03\u6797\u5e26\u6307\u6807')\nax4.set_xlabel('\u65e5\u671f')\nax4.set_ylabel('\u4ef7\u683c')\nax4.legend()\nax4.grid(True)\n\n# \u8bbe\u7f6ex\u8f74\u65e5\u671f\u683c\u5f0f\nfor ax in axes:\n    ax.xaxis.set_major_locator(MaxNLocator(prune='both', nbins=10))\n    ax.xaxis.set_major_formatter(mdates.DateFormatter('%Y-%m-%d'))\n    plt.setp(ax.get_xticklabels(), rotation=45)\n\nplt.tight_layout()\nplt.savefig('stock_indicators.png', dpi=300, bbox_inches='tight')\nprint(\"\u6307\u6807\u56fe\u5f62\u5df2\u4fdd\u5b58\u4e3a stock_indicators.png\")\nplt.show()\n\n# 5. \u4fdd\u5b58\u7279\u5f81\u6570\u636e\n# \u4f7f\u7528UTF-8\u7f16\u7801\u4fdd\u5b58CSV\u6587\u4ef6\nstock_data.to_csv('stock_features.csv', index=False, encoding='utf-8')\nprint(f\"\u7279\u5f81\u6570\u636e\u5df2\u4fdd\u5b58\uff0c\u5171{len(stock_data)}\u884c\")\nprint(stock_data&#91;&#91;'\u65e5\u671f', '\u6536\u76d8', 'MA5', 'MA20', 'MACD', 'RSI', 'volatility_5d']].head())\n\n# \"\"\"\n# \u7528\u6237\u8f93\u5165\u4e0d\u5b8c\u6574\uff0c\u65e0\u6cd5\u786e\u5b9a\u5177\u4f53\u9700\u6c42\u3002\u4f46\u4ece\u5de5\u4f5c\u533a\u5b58\u5728stock_basic_features.py\u7b49\u80a1\u7968\u76f8\u5173\u6587\u4ef6\u63a8\u6d4b\uff0c\u53ef\u80fd\u4e0e\u80a1\u7968\u6307\u6807\u5b66\u4e60\u6709\u5173\u3002\u6211\u9700\u8981\u5148\u67e5\u770bstock_basic_features.py\u6587\u4ef6\u5185\u5bb9\uff0c\u4e86\u89e3\u5176\u4e2d\u6d89\u53ca\u7684\u6307\u6807\uff0c\u4ee5\u4fbf\u63d0\u4f9b\u5bf9\u5e94\u5b66\u4e60\u8d44\u6599\u3002\n\n# stock_basic_features.py 2 - 200\n\n# \u4ee5\u4e0b\u662f\u5bf9stock_basic_features.py\u6587\u4ef6\u4e2d\u6d89\u53ca\u7684\u80a1\u7968\u6280\u672f\u6307\u6807\u7684\u5b66\u4e60\u8d44\u6599\u6574\u7406\uff1a\n\n# ### \u79fb\u52a8\u5e73\u5747\u7ebf(MA)\n# - \u6982\u5ff5 \uff1a\u79fb\u52a8\u5e73\u5747\u7ebf\u662f\u5c06\u4e00\u5b9a\u65f6\u671f\u5185\u7684\u80a1\u7968\u4ef7\u683c\u52a0\u4ee5\u5e73\u5747\uff0c\u8fde\u6210\u4e00\u6761\u7ebf\uff0c\u7528\u4ee5\u89c2\u5bdf\u80a1\u4ef7\u53d8\u52a8\u8d8b\u52bf\u7684\u6280\u672f\u6307\u6807\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u4ee3\u7801\u8ba1\u7b97\u4e86MA5(5\u65e5\u5747\u7ebf)\u3001MA10(10\u65e5\u5747\u7ebf)\u548cMA20(20\u65e5\u5747\u7ebf)\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u7406\u89e3\u4e0d\u540c\u5468\u671f\u5747\u7ebf\u7684\u610f\u4e49\uff0c\u5982\u77ed\u671f\u5747\u7ebf(5\u65e5\u300110\u65e5)\u53cd\u6620\u77ed\u671f\u8d8b\u52bf\uff0c\u4e2d\u957f\u671f\u5747\u7ebf(20\u65e5\u300160\u65e5)\u53cd\u6620\u4e2d\u957f\u671f\u8d8b\u52bf\u3002\u5b66\u4e60\u5747\u7ebf\u91d1\u53c9\u3001\u6b7b\u53c9\u3001\u591a\u5934\u6392\u5217\u3001\u7a7a\u5934\u6392\u5217\u7b49\u5f62\u6001\u3002\n# ### MACD\u6307\u6807\n# - \u6982\u5ff5 \uff1aMACD(Moving Average Convergence Divergence)\u7531\u5feb\u5747\u7ebf(EMA12)\u3001\u6162\u5747\u7ebf(EMA26)\u7684\u5dee\u503c(DIF)\u548c\u4fe1\u53f7\u7ebf(DEA)\u7ec4\u6210\uff0c\u7528\u4e8e\u5224\u65ad\u80a1\u7968\u4ef7\u683c\u7684\u8d8b\u52bf\u548c\u5f3a\u5ea6\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u8ba1\u7b97\u4e86EMA12\u3001EMA26\u3001DIF\u3001DEA\u548cMACD\u503c((DIF-DEA)*2)\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u638c\u63e1MACD\u7684\u96f6\u8f74\u7a7f\u8d8a\u3001\u91d1\u53c9\u6b7b\u53c9\u3001\u80cc\u79bb\u7b49\u5f62\u6001\u7684\u5224\u65ad\u548c\u5e94\u7528\u3002\n# ### \u76f8\u5bf9\u5f3a\u5f31\u6307\u6570(RSI)\n# - \u6982\u5ff5 \uff1aRSI(Relative Strength Index)\u662f\u8861\u91cf\u80a1\u7968\u4ef7\u683c\u4e0a\u6da8\u548c\u4e0b\u8dcc\u529b\u5ea6\u7684\u6307\u6807\uff0c\u53d6\u503c\u8303\u56f40-100\uff0c\u901a\u5e3870\u4ee5\u4e0a\u88ab\u8ba4\u4e3a\u8d85\u4e70\uff0c30\u4ee5\u4e0b\u88ab\u8ba4\u4e3a\u8d85\u5356\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u4f7f\u752814\u65e5\u5468\u671f\u8ba1\u7b97RSI\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u4e86\u89e3RSI\u7684\u8ba1\u7b97\u539f\u7406\uff0c\u5b66\u4e60\u8d85\u4e70\u8d85\u5356\u533a\u57df\u7684\u5224\u65ad\uff0c\u4ee5\u53caRSI\u80cc\u79bb\u73b0\u8c61\u7684\u5e94\u7528\u3002\n# ### \u5e03\u6797\u5e26(BOLL)\n# - \u6982\u5ff5 \uff1a\u5e03\u6797\u5e26\u7531\u4e2d\u8f68(BB_MID)\u3001\u4e0a\u8f68(BB_UP)\u548c\u4e0b\u8f68(BB_LOW)\u7ec4\u6210\uff0c\u7528\u4e8e\u8861\u91cf\u80a1\u4ef7\u7684\u6ce2\u52a8\u6027\u548c\u8d8b\u52bf\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u4e2d\u8f68\u4e3a20\u65e5\u5747\u7ebf\uff0c\u4e0a\u8f68\u548c\u4e0b\u8f68\u5206\u522b\u4e3a\u4e2d\u8f68\u52a0\u51cf2\u500d\u6807\u51c6\u5dee\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u638c\u63e1\u5e03\u6797\u5e26\u7684\u5f00\u53e3\u3001\u6536\u7f29\u5f62\u6001\uff0c\u4ee5\u53ca\u80a1\u4ef7\u89e6\u78b0\u4e0a\u4e0b\u8f68\u7684\u542b\u4e49\u3002\n# ### \u6ce2\u52a8\u7387\n# - \u6982\u5ff5 \uff1a\u6ce2\u52a8\u7387\u8861\u91cf\u80a1\u7968\u4ef7\u683c\u7684\u6ce2\u52a8\u7a0b\u5ea6\uff0c\u901a\u5e38\u7528\u6536\u76ca\u7387\u7684\u6807\u51c6\u5dee\u8868\u793a\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u8ba1\u7b97\u4e865\u65e5\u548c20\u65e5\u6ce2\u52a8\u7387(volatility_5d, volatility_20d)\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u4e86\u89e3\u6ce2\u52a8\u7387\u5728\u98ce\u9669\u8bc4\u4f30\u548c\u4ea4\u6613\u7b56\u7565\u4e2d\u7684\u5e94\u7528\uff0c\u5982\u9ad8\u6ce2\u52a8\u7387\u901a\u5e38\u610f\u5473\u7740\u9ad8\u98ce\u9669\u9ad8\u6536\u76ca\u3002\n# ### \u91cf\u4ef7\u5173\u7cfb\u7279\u5f81\n# - \u6982\u5ff5 \uff1a\u91cf\u4ef7\u5173\u7cfb\u7814\u7a76\u6210\u4ea4\u91cf\u548c\u4ef7\u683c\u4e4b\u95f4\u7684\u5173\u7cfb\uff0c\u5e2e\u52a9\u5224\u65ad\u5e02\u573a\u8d8b\u52bf\u7684\u5f3a\u5ea6\u3002\n# - \u6587\u4ef6\u4e2d\u7684\u5b9e\u73b0 \uff1a\u8ba1\u7b97\u4e86\u91cf\u6bd4(volume_ratio)\u3001\u6210\u4ea4\u989d(amount)\u548c\u7b80\u6613\u8d44\u91d1\u6d41\u5411(money_flow)\u3002\n# - \u5b66\u4e60\u5efa\u8bae \uff1a\u5b66\u4e60\u91cf\u4ef7\u914d\u5408(\u5982\u4ef7\u5347\u91cf\u589e)\u548c\u91cf\u4ef7\u80cc\u79bb(\u5982\u4ef7\u5347\u91cf\u51cf)\u7684\u5f62\u6001\u53ca\u5176\u5e02\u573a\u542b\u4e49\u3002\n# ### \u5b66\u4e60\u8d44\u6e90\u63a8\u8350\n# 1. 1.\n#    \u4e66\u7c4d\uff1a\u300a\u671f\u8d27\u5e02\u573a\u6280\u672f\u5206\u6790\u300b(\u7ea6\u7ff0\u00b7\u58a8\u83f2)\u3001\u300a\u65e5\u672c\u8721\u70db\u56fe\u6280\u672f\u300b(\u53f2\u8482\u592b\u00b7\u5c3c\u68ee)\n# 2. 2.\n#    \u5728\u7ebf\u8bfe\u7a0b\uff1a\u53ef\u4ee5\u901a\u8fc7\u5e73\u53f0\u5982Coursera\u3001Udemy\u67e5\u627e\u6280\u672f\u5206\u6790\u76f8\u5173\u8bfe\u7a0b\n# 3. 3.\n#    \u5b9e\u8df5\uff1a\u7ed3\u5408\u5b9e\u9645\u80a1\u7968\u6570\u636e(\u5982\u6587\u4ef6\u4e2d\u751f\u6210\u7684stock_features.csv)\u8fdb\u884c\u5206\u6790\u548c\u9a8c\u8bc1\n# \u901a\u8fc7\u4ee5\u4e0a\u6307\u6807\u7684\u5b66\u4e60\uff0c\u53ef\u4ee5\u5e2e\u52a9\u7406\u89e3\u80a1\u7968\u4ef7\u683c\u7684\u77ed\u671f\u6ce2\u52a8\u548c\u957f\u671f\u8d8b\u52bf\uff0c\u4e3a\u6295\u8d44\u51b3\u7b56\u63d0\u4f9b\u53c2\u8003\u3002\n# \"\"\"\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2,24],"tags":[],"class_list":["post-6023","post","type-post","status-publish","format-standard","hentry","category-2","category-24"],"_links":{"self":[{"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6023","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6023"}],"version-history":[{"count":1,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6023\/revisions"}],"predecessor-version":[{"id":6024,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=\/wp\/v2\/posts\/6023\/revisions\/6024"}],"wp:attachment":[{"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6023"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6023"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/qbtobjow.ipyingshe.net:5347\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6023"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}