Rank2

main/data/daily_data.ipynb

@@ -5448,7 +5448,7 @@
     "\n",
     "\n",
     "# 读取本地保存的股票列表 CSV 文件（假设文件名为 stocks_data.csv）\n",
-    "stocks_df = pd.read_csv('../../stocks_list.csv', encoding='utf-8-sig')\n",
+    "stocks_df = pd.read_csv('stocks_list.csv', encoding='utf-8-sig')\n",
     "\n",
     "# 用于存放所有股票的日线数据（每次获取的 DataFrame）\n",
     "daily_data_list = []\n",
@@ -5488,7 +5488,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": null,
    "id": "85bdf760cb83fbd3",
    "metadata": {
     "ExecuteTime": {
@@ -5510,7 +5510,7 @@
     "if daily_data_list:\n",
     "    all_daily_data = pd.concat(daily_data_list, ignore_index=True)\n",
     "    # 使用 HDF5 格式保存到本地文件（文件名：daily_data.h5，key设为 'daily_data'）\n",
-    "    all_daily_data.to_hdf('../../data/daily_data.h5', key='daily_data', mode='w', format='table')\n",
+    "    all_daily_data.to_hdf('/mnt/d/PyProject/NewStock/data/daily_data.h5', key='daily_data', mode='w', format='table')\n",
     "    print(\"所有日线数据已保存到 daily_data.h5\")\n",
     "else:\n",
     "    print(\"未获取到任何日线数据。\")"