{ "cells": [ { "cell_type": "code", "id": "initial_id", "metadata": { "collapsed": true, "ExecuteTime": { "end_time": "2026-01-30T06:48:44.912513Z", "start_time": "2026-01-30T06:48:44.785729Z" } }, "source": [ "import baostock as bs\n", "import pandas as pd\n", "\n", "lg = bs.login()" ], "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "login success!\n" ] } ], "execution_count": 27 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T06:48:59.682551Z", "start_time": "2026-01-30T06:48:59.515016Z" } }, "cell_type": "code", "source": [ "rs = bs.query_history_k_data_plus(\n", " \"sz.000001\",\n", " \"date,code,open,high,low,close,preClose,volume,amount,turn,pctChg\",\n", " start_date=\"1991-1-1\",\n", " end_date=\"1992-1-1\",\n", " adjustflag=\"1\",\n", ")\n", "data_list = []\n", "while (rs.error_code == '0') & rs.next():\n", " data_list.append(rs.get_row_data())\n", "\n", "df = pd.DataFrame(data_list, columns=rs.fields)\n", "# df[\"code\"] = df.apply(lambda row: \".\".join(row[\"code\"].split(\".\")[::-1]).upper(), axis=1)\n", "df" ], "id": "ed40fa92230584dc", "outputs": [ { "data": { "text/plain": [ " date code open high low \\\n", "0 1991-04-03 sz.000001 49.0000000000 49.0000000000 49.0000000000 \n", "1 1991-04-04 sz.000001 48.7600000000 48.7600000000 48.7600000000 \n", "2 1991-04-05 sz.000001 48.5200000000 48.5200000000 48.5200000000 \n", "3 1991-04-08 sz.000001 48.0400000000 48.0400000000 48.0400000000 \n", "4 1991-04-09 sz.000001 47.8000000000 47.8000000000 47.8000000000 \n", ".. ... ... ... ... ... \n", "187 1991-12-25 sz.000001 42.5415391500 43.7820300000 42.4685691000 \n", "188 1991-12-26 sz.000001 42.7604493000 42.7604493000 40.8632280000 \n", "189 1991-12-27 sz.000001 40.8632280000 41.5929285000 40.8632280000 \n", "190 1991-12-30 sz.000001 42.7604493000 42.9063894000 42.0307488000 \n", "191 1991-12-31 sz.000001 42.0307488000 42.8334193500 42.0307488000 \n", "\n", " close preClose volume amount turn pctChg \n", "0 49.0000000000 40.0000000000 100 4900.0000 0.000270 22.500000 \n", "1 48.7600000000 49.0000000000 300 14628.0000 0.000809 -0.489799 \n", "2 48.5200000000 48.7600000000 200 9704.0000 0.000539 -0.492202 \n", "3 48.0400000000 48.2800000000 200 9608.0000 0.000539 -0.497100 \n", "4 47.8000000000 48.0400000000 400 19120.0000 0.001078 -0.499587 \n", ".. ... ... ... ... ... ... \n", "187 42.7604493000 42.3955990500 226900 6702870.0000 0.470454 0.860585 \n", "188 40.8632280000 42.7604493000 191800 5509610.0000 0.397678 -4.436858 \n", "189 41.5199584500 40.8632280000 210500 5935400.0000 0.436450 1.607146 \n", "190 42.0307488000 42.6874792500 105900 3093085.0000 0.219573 -1.538462 \n", "191 42.8334193500 42.0307488000 75900 2203915.0000 0.152534 1.909726 \n", "\n", "[192 rows x 11 columns]" ], "text/html": [ "
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datecodeopenhighlowclosepreClosevolumeamountturnpctChg
01991-04-03sz.00000149.000000000049.000000000049.000000000049.000000000040.00000000001004900.00000.00027022.500000
11991-04-04sz.00000148.760000000048.760000000048.760000000048.760000000049.000000000030014628.00000.000809-0.489799
21991-04-05sz.00000148.520000000048.520000000048.520000000048.520000000048.76000000002009704.00000.000539-0.492202
31991-04-08sz.00000148.040000000048.040000000048.040000000048.040000000048.28000000002009608.00000.000539-0.497100
41991-04-09sz.00000147.800000000047.800000000047.800000000047.800000000048.040000000040019120.00000.001078-0.499587
....................................
1871991-12-25sz.00000142.541539150043.782030000042.468569100042.760449300042.39559905002269006702870.00000.4704540.860585
1881991-12-26sz.00000142.760449300042.760449300040.863228000040.863228000042.76044930001918005509610.00000.397678-4.436858
1891991-12-27sz.00000140.863228000041.592928500040.863228000041.519958450040.86322800002105005935400.00000.4364501.607146
1901991-12-30sz.00000142.760449300042.906389400042.030748800042.030748800042.68747925001059003093085.00000.219573-1.538462
1911991-12-31sz.00000142.030748800042.833419350042.030748800042.833419350042.0307488000759002203915.00000.1525341.909726
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192 rows × 11 columns

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" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 30 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T06:51:04.154374Z", "start_time": "2026-01-30T06:51:04.096340Z" } }, "cell_type": "code", "source": [ "for year in range(1990, 2025):\n", " print(year)" ], "id": "cbb28b1f4857259e", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1990\n", "1991\n", "1992\n", "1993\n", "1994\n", "1995\n", "1996\n", "1997\n", "1998\n", "1999\n", "2000\n", "2001\n", "2002\n", "2003\n", "2004\n", "2005\n", "2006\n", "2007\n", "2008\n", "2009\n", "2010\n", "2011\n", "2012\n", "2013\n", "2014\n", "2015\n", "2016\n", "2017\n", "2018\n", "2019\n", "2020\n", "2021\n", "2022\n", "2023\n", "2024\n" ] } ], "execution_count": 31 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T02:30:18.416075Z", "start_time": "2026-01-30T02:30:18.255416Z" } }, "cell_type": "code", "source": [ "rs = bs.query_stock_basic(code=\"sz.000001\")\n", "data_list = []\n", "while (rs.error_code == '0') & rs.next():\n", " data_list.append(rs.get_row_data())\n", "df = pd.DataFrame(data_list, columns=rs.fields)\n", "df" ], "id": "3eb9e1033b4360ed", "outputs": [ { "data": { "text/plain": [ " code code_name ipoDate outDate type status\n", "0 sz.000001 平安银行 1991-04-03 1 1" ], "text/html": [ "
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codecode_nameipoDateoutDatetypestatus
0sz.000001平安银行1991-04-0311
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" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 8 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T02:17:09.614916Z", "start_time": "2026-01-30T02:16:48.773160Z" } }, "cell_type": "code", "source": [ "import adata\n", "\n", "adata.stock.info.all_code()" ], "id": "93a1d7caffc916c", "outputs": [ { "data": { "text/plain": [ " stock_code short_name exchange list_date\n", "0 000001 平安银行 SZ 1991-04-03\n", "1 000002 万科Ａ SZ 1991-01-29\n", "2 000003 PT金田A SZ NaN\n", "3 000004 *ST国华 SZ 1990-12-01\n", "4 000005 ST星源 SZ 1990-12-10\n", "... ... ... ... ...\n", "5759 920978 开特股份 BJ 2023-09-28\n", "5760 920981 晶赛科技 BJ 2021-11-15\n", "5761 920982 锦波生物 BJ 2023-07-20\n", "5762 920985 海泰新能 BJ 2022-08-08\n", "5763 920992 中科美菱 BJ 2022-10-18\n", "\n", "[5764 rows x 4 columns]" ], "text/html": [ "
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stock_codeshort_nameexchangelist_date
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1000002万科ＡSZ1991-01-29
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5764 rows × 4 columns

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" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 2 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T02:23:11.398502Z", "start_time": "2026-01-30T02:23:11.257663Z" } }, "cell_type": "code", "source": "adata.stock.market.get_market(stock_code='000001', start_date='2025-01-01', end_date='2025-12-31', adjust_type=0)", "id": "c716caf5e7157b4f", "outputs": [ { "data": { "text/plain": [ " stock_code trade_time trade_date open close high low \\\n", "0 000001 2025-01-02 00:00:00 2025-01-02 11.73 11.43 11.77 11.39 \n", "1 000001 2025-01-03 00:00:00 2025-01-03 11.44 11.38 11.54 11.36 \n", "2 000001 2025-01-06 00:00:00 2025-01-06 11.38 11.44 11.48 11.22 \n", "3 000001 2025-01-07 00:00:00 2025-01-07 11.42 11.51 11.53 11.37 \n", "4 000001 2025-01-08 00:00:00 2025-01-08 11.50 11.50 11.63 11.40 \n", ".. ... ... ... ... ... ... ... \n", "238 000001 2025-12-25 00:00:00 2025-12-25 11.54 11.56 11.62 11.52 \n", "239 000001 2025-12-26 00:00:00 2025-12-26 11.56 11.54 11.59 11.53 \n", "240 000001 2025-12-29 00:00:00 2025-12-29 11.54 11.56 11.62 11.50 \n", "241 000001 2025-12-30 00:00:00 2025-12-30 11.53 11.48 11.56 11.45 \n", "242 000001 2025-12-31 00:00:00 2025-12-31 11.48 11.41 11.49 11.40 \n", "\n", " volume amount change_pct change turnover_ratio pre_close \n", "0 181959700 2.102923e+09 -2.31 -0.27 0.94 11.70 \n", "1 115468000 1.320521e+09 -0.44 -0.05 0.60 11.43 \n", "2 108553600 1.234306e+09 0.53 0.06 0.56 11.38 \n", "3 74786300 8.583290e+08 0.61 0.07 0.39 11.44 \n", "4 106238600 1.223599e+09 -0.09 -0.01 0.55 11.51 \n", ".. ... ... ... ... ... ... \n", "238 54745500 6.337726e+08 0.17 0.02 0.28 11.54 \n", "239 43634000 5.040793e+08 -0.17 -0.02 0.22 11.56 \n", "240 64829500 7.490830e+08 0.17 0.02 0.33 11.54 \n", "241 58258400 6.694093e+08 -0.69 -0.08 0.30 11.56 \n", "242 59062000 6.754574e+08 -0.61 -0.07 0.30 11.48 \n", "\n", "[243 rows x 13 columns]" ], "text/html": [ "
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" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "execution_count": 6 }, { "metadata": { "ExecuteTime": { "end_time": "2026-01-30T07:20:29.946256Z", "start_time": "2026-01-30T07:20:29.785116Z" } }, "cell_type": "code", "source": [ "import akshare as ak\n", "\n", "ak.stock_individual_info_em(symbol='600000')" ], "id": "f7667bf80cc8c02", "outputs": [ { "data": { "text/plain": [ " item value\n", "0 最新 10.04\n", "1 股票代码 600000\n", "2 股票简称 浦发银行\n", "3 总股本 33305838300.0\n", "4 流通股 33305838300.0\n", "5 总市值 334390616532.0\n", "6 流通市值 334390616532.0\n", "7 行业 银行\n", "8 上市时间 19991110" ], "text/html": [ "
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0org_id02600005
1org_name_cn武汉钢铁股份有限公司
2org_short_name_cn武钢股份
3org_name_enWuhan Iron And Steel Company Limited
4org_short_name_enWISCO,Ltd.
5main_operation_business冶金产品及副产品、钢铁延伸产品制造及冶金产品的技术开发
6operating_scope冶金产品及副产品、钢铁延伸产品制造；冶金产品的技术开发；钢铁及副产品的销售；货物进出口、...
7district_encode420107
8org_cn_introduction武汉钢铁股份有限公司是由武汉钢铁集团公司控股的、国内第二大钢铁上市公司.是一家主要经营钢铁生...
9legal_representative马国强
10general_manager邹继新
11secretary李海涛
12established_date878832000000
13reg_asset10093780000.0
14staff_num27328
15telephone86-27-86217195
16postcode430083
17fax86-27-86217296
18emailwiscl@wisco.com.cn
19org_websitewww.wisco.com.cn
20reg_address_cn湖北省武汉市青山区厂前街(青山区股份公司机关)
21reg_address_enNone
22office_address_cn湖北省武汉市青山区厂前武钢2号门
23office_address_enNone
24currency_encode019001
25currencyCNY
26listed_date933609600000
27provincial_name湖北省
28actual_controller国务院国有资产监督管理委员会 (52.76%)
29classi_name央企国资控股
30pre_name_cnNone
31chairman邹继新
32executives_nums5
33actual_issue_vol320000000.0
34issue_price4.3
35actual_rc_net_amt1349051600.0
36pe_after_issuing14.1
37online_success_rate_of_issue4.923
38affiliate_industryNone
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