初始化项目

0_材料准备/1_数据更新.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2024-12-27T08:11:08.133652Z",
+     "start_time": "2024-12-27T08:11:08.099503Z"
+    }
+   },
+   "source": [
+    "import pymysql\n",
+    "\n",
+    "# db = pymysql.connect(host=\"frp-air.top\", port=43458, user=\"stock\", password=\"c&J#USr9~J5hrUiP\", database=\"stock\")\n",
+    "db = pymysql.connect(host=\"localhost\", port=3307, user=\"test\", password=\"test\", database=\"main\")"
+   ],
+   "outputs": [],
+   "execution_count": 1
+  },
+  {
+   "cell_type": "code",
+   "id": "7fdf7baf7e494f5d",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-27T08:11:43.530387Z",
+     "start_time": "2024-12-27T08:11:43.527288Z"
+    }
+   },
+   "source": "cursor = db.cursor()",
+   "outputs": [],
+   "execution_count": 3
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-27T08:29:21.672366Z",
+     "start_time": "2024-12-27T08:29:13.248490Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "df = pd.read_csv('../document/Tushare股票信息.csv',\n",
+    "                 names=['ts_code', 'symbol', 'name', 'area', 'industry', 'fullname', 'enname', 'cnspell', 'market',\n",
+    "                        'exchange', 'curr_type', 'list_status', 'list_date', 'act_name', 'act_ent_type'])\n",
+    "# ts_code列按英文句号分割，将分割后的两个字符串交换位置\n",
+    "df['ts_code'] = df['ts_code'].str.split('.').str[::-1].str.join('.')\n",
+    "# 只留下ts_code、name、market，fullname列\n",
+    "df = df[['ts_code', 'name', 'market', 'fullname']]\n",
+    "# 遍历所有行，生成插入sql语句\n",
+    "for i in range(len(df)):\n",
+    "    sql = \"insert into target(code, name, description, market, type) values ('%s','%s','%s','%s','%s') on duplicate key update name = values(name), description = values(description), market = values(market), type = values(type)\" % (\n",
+    "        df.iloc[i]['ts_code'], df.iloc[i]['name'], df.iloc[i]['fullname'], df.iloc[i]['market'], 'stock'\n",
+    "    )\n",
+    "    cursor.execute(sql)\n",
+    "db.commit()"
+   ],
+   "id": "bff56fafd1219dfa",
+   "outputs": [],
+   "execution_count": 24
+  },
+  {
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-27T08:29:45.830427Z",
+     "start_time": "2024-12-27T08:29:44.310167Z"
+    }
+   },
+   "cell_type": "code",
+   "source": [
+    "df = pd.read_csv('../document/ETF信息.csv', usecols=[0, 1, 2], names=['index', 'code', 'name'], index_col='index')\n",
+    "for i in range(len(df)):\n",
+    "    sql = \"insert into target(code, name, type) values ('%s','%s','%s') on duplicate key update name = values(name), type = values(type)\" % (\n",
+    "        df.iloc[i]['code'], df.iloc[i]['name'], 'etf'\n",
+    "    )\n",
+    "    cursor.execute(sql)\n",
+    "db.commit()"
+   ],
+   "id": "577d97871a0acbe7",
+   "outputs": [],
+   "execution_count": 25
+  },
+  {
+   "cell_type": "code",
+   "id": "9cc56d42dac5ea9",
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2024-12-27T08:49:40.805003Z",
+     "start_time": "2024-12-27T08:49:40.762113Z"
+    }
+   },
+   "source": [
+    "db.close()"
+   ],
+   "outputs": [],
+   "execution_count": 26
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}