优化代码

行情监控/Holdle策略.ipynb

@@ -8,42 +8,6 @@
     }
    },
    "cell_type": "code",
-   "source": [
-    "import os\n",
-    "\n",
-    "# 加载\"C:\\Users\\lanyuanxiaoyao\\Documents\\Tushare\\日线行情\"路径下的所有CSV文件，放在一个dataframe表里，然后根据ts_code分组，把分组按ts_code命名，以CSV的格式存在“C:\\Users\\lanyuanxiaoyao\\Documents\\Tushare\\日线行情\\group”路径下\n",
-    "import pandas as pd\n",
-    "\n",
-    "# 定义路径\n",
-    "input_path = \"/Users/lanyuanxiaoyao/SynologyDrive/data/Tushare/日线行情\"\n",
-    "output_path = \"/Users/lanyuanxiaoyao/Documents/日线行情\"\n",
-    "\n",
-    "# 确保输出路径存在\n",
-    "os.makedirs(output_path, exist_ok=True)\n",
-    "\n",
-    "# 获取所有CSV文件\n",
-    "csv_files = [f for f in os.listdir(input_path) if f.endswith('.csv')]\n",
-    "\n",
-    "# 初始化一个空的DataFrame\n",
-    "df = pd.DataFrame()\n",
-    "\n",
-    "# 逐个加载CSV文件到DataFrame\n",
-    "for file in csv_files:\n",
-    "    file_path = os.path.join(input_path, file)\n",
-    "    temp_df = pd.read_csv(file_path)\n",
-    "    df = pd.concat([df, temp_df], ignore_index=True)\n",
-    "\n",
-    "# 根据ts_code分组\n",
-    "grouped = df.groupby('ts_code')\n",
-    "\n",
-    "# 将每个分组保存为CSV文件\n",
-    "for ts_code, group in grouped:\n",
-    "    output_file_path = os.path.join(output_path, f\"{ts_code}.csv\")\n",
-    "    group.to_csv(output_file_path, index=False)\n",
-    "\n",
-    "print(\"文件已成功分组并保存为CSV格式。\")\n"
-   ],
-   "id": "6a10e07f5f498bc6",
    "outputs": [
     {
      "name": "stdout",
@@ -53,7 +17,9 @@
      ]
     }
    ],
-   "execution_count": 1
+   "execution_count": 1,
+   "source": "import pandas as pd",
+   "id": "6a10e07f5f498bc6"
   },
   {
    "metadata": {