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