563 lines
20 KiB
Plaintext
563 lines
20 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": "2025-01-12T02:54:11.062677Z",
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"start_time": "2025-01-12T02:54:11.058692Z"
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}
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},
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"source": [
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"import pandas as pd\n",
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"import tushare as ts\n",
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"\n",
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"ts_pro = ts.pro_api(token=\"64ebff4fa679167600b905ee45dd88e76f3963c0ff39157f3f085f0e\")"
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],
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"outputs": [],
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"execution_count": 2
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-01-12T03:04:46.270874Z",
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"start_time": "2025-01-12T03:04:45.589112Z"
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}
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},
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"cell_type": "code",
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"source": [
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"stock_df = ts_pro.stock_basic(\n",
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" fields=\"ts_code,symbol,name,area,industry,fullname,enname,cnspell,market,exchange,curr_type,list_status,list_date,delist_date,is_hs,act_name,act_ent_type\")\n",
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"stock_df.to_csv(\"../材料/股票基础信息.csv\", index=False)"
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],
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"id": "9bff0b9f37a2022a",
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"outputs": [],
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"execution_count": 11
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},
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{
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"metadata": {
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"ExecuteTime": {
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"end_time": "2025-01-12T04:06:31.055709Z",
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"start_time": "2025-01-12T04:06:31.030421Z"
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}
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},
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"cell_type": "code",
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"source": [
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"stock_df = pd.read_csv(\"../材料/股票基础信息.csv\")\n",
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"stock_df"
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],
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"id": "c4addb03ad6dfd89",
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"outputs": [
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{
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"data": {
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"text/plain": [
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" ts_code symbol name area industry fullname \\\n",
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"0 000001.SZ 1 平安银行 深圳 银行 平安银行股份有限公司 \n",
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"1 000002.SZ 2 万科A 深圳 全国地产 万科企业股份有限公司 \n",
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"2 000004.SZ 4 国华网安 深圳 软件服务 深圳国华网安科技股份有限公司 \n",
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"3 000006.SZ 6 深振业A 深圳 区域地产 深圳市振业(集团)股份有限公司 \n",
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"4 000007.SZ 7 全新好 深圳 其他商业 深圳市全新好股份有限公司 \n",
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"... ... ... ... ... ... ... \n",
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"5383 920111.BJ 920111 聚星科技 NaN NaN 温州聚星科技股份有限公司 \n",
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"5384 920116.BJ 920116 星图测控 NaN NaN 中科星图测控技术股份有限公司 \n",
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"5385 920118.BJ 920118 太湖远大 NaN NaN 浙江太湖远大新材料股份有限公司 \n",
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"5386 920128.BJ 920128 胜业电气 NaN NaN 胜业电气股份有限公司 \n",
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"5387 689009.SH 689009 九号公司-WD 北京 摩托车 九号有限公司 \n",
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"\n",
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" enname cnspell market \\\n",
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"0 Ping An Bank Co., Ltd. payh 主板 \n",
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"1 China Vanke Co.,Ltd. wka 主板 \n",
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"2 Shenzhen Guohua Network Security Technology Co... ghwa 主板 \n",
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"3 Shenzhen Zhenye(Group) Co., Ltd. szya 主板 \n",
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"4 Shenzhen Quanxinhao Co,.Ltd. qxh 主板 \n",
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"... ... ... ... \n",
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"5383 Wenzhou Juxing Science And Technology Co.,Ltd. jxkj 北交所 \n",
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"5384 Geovis Insighter Technology Co.,Ltd. xtck 北交所 \n",
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"5385 Zhejiang Taihu Yuanda New Material Co., Ltd thyd 北交所 \n",
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"5386 Shengye Electric Co., Ltd. sydq 北交所 \n",
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"5387 Ninebot Limited jhgs 科创板 \n",
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"\n",
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" exchange curr_type list_status list_date delist_date is_hs \\\n",
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"0 SZSE CNY L 19910403 NaN S \n",
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"1 SZSE CNY L 19910129 NaN S \n",
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"2 SZSE CNY L 19910114 NaN N \n",
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"3 SZSE CNY L 19920427 NaN S \n",
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"4 SZSE CNY L 19920413 NaN N \n",
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"... ... ... ... ... ... ... \n",
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"5383 BSE CNY L 20241111 NaN N \n",
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"5384 BSE CNY L 20250102 NaN N \n",
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"5385 BSE CNY L 20240822 NaN N \n",
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"5386 BSE CNY L 20241129 NaN N \n",
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"5387 SSE CNY L 20201029 NaN NaN \n",
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"\n",
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" act_name act_ent_type \n",
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"0 无实际控制人 无 \n",
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"1 深圳市人民政府国有资产监督管理委员会 地方国企 \n",
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"2 李映彤 民营企业 \n",
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"3 深圳市人民政府国有资产监督管理委员会 地方国企 \n",
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"4 王玩虹 民营企业 \n",
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"... ... ... \n",
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"5383 NaN NaN \n",
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"5384 NaN NaN \n",
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"5385 NaN NaN \n",
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"5386 NaN NaN \n",
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"5387 NaN NaN \n",
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"\n",
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"[5388 rows x 17 columns]"
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],
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"text/html": [
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"<div>\n",
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"<style scoped>\n",
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" .dataframe tbody tr th:only-of-type {\n",
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" vertical-align: middle;\n",
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" }\n",
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"\n",
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" .dataframe tbody tr th {\n",
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" vertical-align: top;\n",
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"\n",
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" .dataframe thead th {\n",
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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"<table border=\"1\" class=\"dataframe\">\n",
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" <thead>\n",
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>ts_code</th>\n",
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" <th>symbol</th>\n",
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" <th>name</th>\n",
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" <th>area</th>\n",
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" <th>industry</th>\n",
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" <th>fullname</th>\n",
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" <th>enname</th>\n",
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" <th>cnspell</th>\n",
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" <th>market</th>\n",
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" <th>exchange</th>\n",
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" <th>curr_type</th>\n",
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" <th>list_status</th>\n",
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" <th>list_date</th>\n",
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" <th>delist_date</th>\n",
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" <th>is_hs</th>\n",
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" <th>act_name</th>\n",
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" <th>act_ent_type</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>000001.SZ</td>\n",
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" <td>1</td>\n",
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" <td>平安银行</td>\n",
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" <td>深圳</td>\n",
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" <td>银行</td>\n",
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" <td>平安银行股份有限公司</td>\n",
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" <td>Ping An Bank Co., Ltd.</td>\n",
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" <td>payh</td>\n",
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" <td>主板</td>\n",
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" <td>SZSE</td>\n",
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" <td>CNY</td>\n",
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" <td>L</td>\n",
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" <td>19910403</td>\n",
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" <td>NaN</td>\n",
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" <td>S</td>\n",
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" <td>无实际控制人</td>\n",
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" <td>无</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>000002.SZ</td>\n",
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" <td>2</td>\n",
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" <td>万科A</td>\n",
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" <td>深圳</td>\n",
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" <td>全国地产</td>\n",
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" <td>万科企业股份有限公司</td>\n",
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" <td>China Vanke Co.,Ltd.</td>\n",
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" <td>wka</td>\n",
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" <td>主板</td>\n",
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" <td>SZSE</td>\n",
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" <td>CNY</td>\n",
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" <td>L</td>\n",
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" <td>19910129</td>\n",
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" <td>NaN</td>\n",
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" <td>S</td>\n",
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" <td>深圳市人民政府国有资产监督管理委员会</td>\n",
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" <td>地方国企</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>000004.SZ</td>\n",
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" <td>4</td>\n",
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" <td>国华网安</td>\n",
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" <td>深圳</td>\n",
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" <td>软件服务</td>\n",
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" <td>深圳国华网安科技股份有限公司</td>\n",
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" <td>Shenzhen Guohua Network Security Technology Co...</td>\n",
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" <td>ghwa</td>\n",
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" <td>主板</td>\n",
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" <td>SZSE</td>\n",
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" <td>CNY</td>\n",
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||
" <td>L</td>\n",
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" <td>19910114</td>\n",
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" <td>NaN</td>\n",
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||
" <td>N</td>\n",
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" <td>李映彤</td>\n",
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" <td>民营企业</td>\n",
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||
" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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||
" <td>000006.SZ</td>\n",
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||
" <td>6</td>\n",
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" <td>深振业A</td>\n",
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" <td>深圳</td>\n",
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" <td>区域地产</td>\n",
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||
" <td>深圳市振业(集团)股份有限公司</td>\n",
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" <td>Shenzhen Zhenye(Group) Co., Ltd.</td>\n",
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" <td>szya</td>\n",
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" <td>主板</td>\n",
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" <td>SZSE</td>\n",
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" <td>CNY</td>\n",
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" <td>L</td>\n",
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" <td>19920427</td>\n",
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" <td>NaN</td>\n",
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" <td>S</td>\n",
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" <td>深圳市人民政府国有资产监督管理委员会</td>\n",
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" <td>地方国企</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>000007.SZ</td>\n",
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" <td>7</td>\n",
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" <td>全新好</td>\n",
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" <td>深圳</td>\n",
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" <td>其他商业</td>\n",
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" <td>深圳市全新好股份有限公司</td>\n",
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" <td>Shenzhen Quanxinhao Co,.Ltd.</td>\n",
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" <td>qxh</td>\n",
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" <td>主板</td>\n",
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" <td>SZSE</td>\n",
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" <td>CNY</td>\n",
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" <td>L</td>\n",
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" <td>19920413</td>\n",
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" <td>NaN</td>\n",
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" <td>N</td>\n",
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" <td>王玩虹</td>\n",
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" <td>民营企业</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>...</th>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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||
" <td>...</td>\n",
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||
" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" <td>...</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5383</th>\n",
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" <td>920111.BJ</td>\n",
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" <td>920111</td>\n",
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||
" <td>聚星科技</td>\n",
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" <td>NaN</td>\n",
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||
" <td>NaN</td>\n",
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" <td>温州聚星科技股份有限公司</td>\n",
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" <td>Wenzhou Juxing Science And Technology Co.,Ltd.</td>\n",
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" <td>jxkj</td>\n",
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" <td>北交所</td>\n",
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" <td>BSE</td>\n",
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" <td>CNY</td>\n",
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||
" <td>L</td>\n",
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||
" <td>20241111</td>\n",
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||
" <td>NaN</td>\n",
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||
" <td>N</td>\n",
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||
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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||
" </tr>\n",
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" <tr>\n",
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" <th>5384</th>\n",
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" <td>920116.BJ</td>\n",
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" <td>920116</td>\n",
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" <td>星图测控</td>\n",
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" <td>NaN</td>\n",
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||
" <td>NaN</td>\n",
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||
" <td>中科星图测控技术股份有限公司</td>\n",
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||
" <td>Geovis Insighter Technology Co.,Ltd.</td>\n",
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||
" <td>xtck</td>\n",
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" <td>北交所</td>\n",
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||
" <td>BSE</td>\n",
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||
" <td>CNY</td>\n",
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||
" <td>L</td>\n",
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||
" <td>20250102</td>\n",
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||
" <td>NaN</td>\n",
|
||
" <td>N</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
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||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5385</th>\n",
|
||
" <td>920118.BJ</td>\n",
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||
" <td>920118</td>\n",
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||
" <td>太湖远大</td>\n",
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||
" <td>NaN</td>\n",
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||
" <td>NaN</td>\n",
|
||
" <td>浙江太湖远大新材料股份有限公司</td>\n",
|
||
" <td>Zhejiang Taihu Yuanda New Material Co., Ltd</td>\n",
|
||
" <td>thyd</td>\n",
|
||
" <td>北交所</td>\n",
|
||
" <td>BSE</td>\n",
|
||
" <td>CNY</td>\n",
|
||
" <td>L</td>\n",
|
||
" <td>20240822</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>N</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5386</th>\n",
|
||
" <td>920128.BJ</td>\n",
|
||
" <td>920128</td>\n",
|
||
" <td>胜业电气</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>胜业电气股份有限公司</td>\n",
|
||
" <td>Shengye Electric Co., Ltd.</td>\n",
|
||
" <td>sydq</td>\n",
|
||
" <td>北交所</td>\n",
|
||
" <td>BSE</td>\n",
|
||
" <td>CNY</td>\n",
|
||
" <td>L</td>\n",
|
||
" <td>20241129</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>N</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>5387</th>\n",
|
||
" <td>689009.SH</td>\n",
|
||
" <td>689009</td>\n",
|
||
" <td>九号公司-WD</td>\n",
|
||
" <td>北京</td>\n",
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||
" <td>摩托车</td>\n",
|
||
" <td>九号有限公司</td>\n",
|
||
" <td>Ninebot Limited</td>\n",
|
||
" <td>jhgs</td>\n",
|
||
" <td>科创板</td>\n",
|
||
" <td>SSE</td>\n",
|
||
" <td>CNY</td>\n",
|
||
" <td>L</td>\n",
|
||
" <td>20201029</td>\n",
|
||
" <td>NaN</td>\n",
|
||
" <td>NaN</td>\n",
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||
" <td>NaN</td>\n",
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" <td>NaN</td>\n",
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||
" </tr>\n",
|
||
" </tbody>\n",
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||
"</table>\n",
|
||
"<p>5388 rows × 17 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
},
|
||
"execution_count": 73,
|
||
"metadata": {},
|
||
"output_type": "execute_result"
|
||
}
|
||
],
|
||
"execution_count": 73
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-01-12T04:08:38.611023Z",
|
||
"start_time": "2025-01-12T04:08:38.601858Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"from datetime import datetime\n",
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||
"\n",
|
||
"select_df = stock_df[[\"ts_code\", \"list_date\"]]\n",
|
||
"select_df[\"list_date\"] = pd.to_datetime(select_df[\"list_date\"], format=\"%Y%m%d\").dt.year\n",
|
||
"select_df = select_df[select_df[\"list_date\"] < datetime.now().year - 6]\n",
|
||
"select_df.rename(columns={\"ts_code\": \"code\", \"list_date\": \"listing_code\"}, inplace=True)\n",
|
||
"select_df.to_csv(\"../temp/select_stock.csv\", index=False)"
|
||
],
|
||
"id": "e46b093526873c23",
|
||
"outputs": [
|
||
{
|
||
"name": "stderr",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"C:\\Users\\lanyuanxiaoyao\\AppData\\Local\\Temp\\ipykernel_26584\\1081394513.py:4: SettingWithCopyWarning: \n",
|
||
"A value is trying to be set on a copy of a slice from a DataFrame.\n",
|
||
"Try using .loc[row_indexer,col_indexer] = value instead\n",
|
||
"\n",
|
||
"See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
|
||
" select_df[\"list_date\"] = pd.to_datetime(select_df[\"list_date\"], format=\"%Y%m%d\").dt.year\n"
|
||
]
|
||
}
|
||
],
|
||
"execution_count": 77
|
||
},
|
||
{
|
||
"metadata": {
|
||
"ExecuteTime": {
|
||
"end_time": "2025-01-12T04:08:54.938873Z",
|
||
"start_time": "2025-01-12T04:08:54.932403Z"
|
||
}
|
||
},
|
||
"cell_type": "code",
|
||
"source": [
|
||
"select_stock_df = pd.read_csv(\"../temp/select_stock.csv\")\n",
|
||
"select_df"
|
||
],
|
||
"id": "dc6a85e6ca6fbc14",
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"text/plain": [
|
||
" code listing_code\n",
|
||
"0 000001.SZ 1991\n",
|
||
"1 000002.SZ 1991\n",
|
||
"2 000004.SZ 1991\n",
|
||
"3 000006.SZ 1992\n",
|
||
"4 000007.SZ 1992\n",
|
||
"... ... ...\n",
|
||
"4439 603991.SH 2017\n",
|
||
"4441 603993.SH 2012\n",
|
||
"4443 603997.SH 2015\n",
|
||
"4444 603998.SH 2014\n",
|
||
"4445 603999.SH 2015\n",
|
||
"\n",
|
||
"[3384 rows x 2 columns]"
|
||
],
|
||
"text/html": [
|
||
"<div>\n",
|
||
"<style scoped>\n",
|
||
" .dataframe tbody tr th:only-of-type {\n",
|
||
" vertical-align: middle;\n",
|
||
" }\n",
|
||
"\n",
|
||
" .dataframe tbody tr th {\n",
|
||
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|
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|
||
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|
||
" .dataframe thead th {\n",
|
||
" text-align: right;\n",
|
||
" }\n",
|
||
"</style>\n",
|
||
"<table border=\"1\" class=\"dataframe\">\n",
|
||
" <thead>\n",
|
||
" <tr style=\"text-align: right;\">\n",
|
||
" <th></th>\n",
|
||
" <th>code</th>\n",
|
||
" <th>listing_code</th>\n",
|
||
" </tr>\n",
|
||
" </thead>\n",
|
||
" <tbody>\n",
|
||
" <tr>\n",
|
||
" <th>0</th>\n",
|
||
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|
||
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|
||
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|
||
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|
||
" <th>1</th>\n",
|
||
" <td>000002.SZ</td>\n",
|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>2</th>\n",
|
||
" <td>000004.SZ</td>\n",
|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>3</th>\n",
|
||
" <td>000006.SZ</td>\n",
|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4</th>\n",
|
||
" <td>000007.SZ</td>\n",
|
||
" <td>1992</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>...</th>\n",
|
||
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|
||
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|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4439</th>\n",
|
||
" <td>603991.SH</td>\n",
|
||
" <td>2017</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4441</th>\n",
|
||
" <td>603993.SH</td>\n",
|
||
" <td>2012</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4443</th>\n",
|
||
" <td>603997.SH</td>\n",
|
||
" <td>2015</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4444</th>\n",
|
||
" <td>603998.SH</td>\n",
|
||
" <td>2014</td>\n",
|
||
" </tr>\n",
|
||
" <tr>\n",
|
||
" <th>4445</th>\n",
|
||
" <td>603999.SH</td>\n",
|
||
" <td>2015</td>\n",
|
||
" </tr>\n",
|
||
" </tbody>\n",
|
||
"</table>\n",
|
||
"<p>3384 rows × 2 columns</p>\n",
|
||
"</div>"
|
||
]
|
||
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|
||
"execution_count": 78,
|
||
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|
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|
||
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|
||
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|
||
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|
||
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|
||
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|
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|
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|
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|
||
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|
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|
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|
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|
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