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# -*- coding: utf-8 -*-
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import tushare as ts
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import pandas as pd
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# Tushare API 初始化
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ts.set_token('64532b1c03637bc0c3ac92931a5d1b53cfaf75de87c22dfdc70ca6a0')
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pro = ts.pro_api()
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# 股票基本信息获取，并保存为 Excel 文件
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try:
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stkcode = pro.stock_basic(exchange='', list_status='L', fields='ts_code,symbol,name,area,industry')
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stkcode.to_excel('stkcode.xlsx', index=False)
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print("股票基本信息已成功导出到 'stkcode.xlsx'")
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except PermissionError as e:
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print(f"无法写入 'stkcode.xlsx' 文件：{e}")
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print("请确保文件没有被其他程序占用，并且你有写入权限。")
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exit(1)
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# 从利润表中获取营业收入、营业利润、利润总额、净利润指标数据
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income = pro.income_vip(period='20161231', fields='ts_code,revenue,operate_profit,total_profit,n_income_attr_p')
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income = income.drop_duplicates(subset=['ts_code'])
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print(f"收入数据列名: {income.columns}")
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# 从资产负债表中获取资产总计、固定资产指标数据
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balance = pro.balancesheet_vip(period='20161231', fields='ts_code,total_assets,fix_assets')
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balance = balance.drop_duplicates(subset=['ts_code'])
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print(f"资产负债数据列名: {balance.columns}")
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# 从财务指标表中获取净资产收益率、每股净资产、每股资本公积、每股收益指标数据
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indicator = pro.fina_indicator_vip(period='20161231', fields='ts_code,roe,bps,capital_rese_ps,eps')
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indicator = indicator.drop_duplicates(subset=['ts_code'])
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print(f"财务指标数据列名: {indicator.columns}")
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# 检查每个数据集中是否包含 'ts_code' 列
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for df, name in zip([income, balance, indicator], ['income', 'balance', 'indicator']):
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if 'ts_code' not in df.columns:
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raise KeyError(f"数据集 {name} 中没有 'ts_code' 列，请检查数据文件")
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# 检查并处理 NaN 值
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def check_and_handle_nan(df, name):
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if df.isnull().values.any():
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print(f"数据集 {name} 包含 NaN 值，进行处理...")
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# 选择删除包含 NaN 的行
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df = df.dropna()
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# 或者选择填充 NaN 值
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# df = df.fillna(0)
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return df
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income = check_and_handle_nan(income, 'income')
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balance = check_and_handle_nan(balance, 'balance')
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indicator = check_and_handle_nan(indicator, 'indicator')
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# 数据集成，以代码为键，内连接，并把集成后的数据导出 Excel
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tempdata = pd.merge(income, balance, how='inner', on='ts_code')
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Data = pd.merge(tempdata, indicator, how='inner', on='ts_code')
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# 确保合并后的数据集中包含 'ts_code' 列
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if 'ts_code' not in Data.columns:
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raise KeyError("合并后的数据集中没有 'ts_code' 列，请检查数据文件")
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# 再次检查并处理 NaN 值
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Data = check_and_handle_nan(Data, 'Data')
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# 将集成后的数据导出到 Excel
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Data.to_excel('Data.xlsx', index=False)
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print("数据已成功导出到 'Data.xlsx'")
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## 另外，本章中的其他数据获取例子，也在本程序中
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# 获取上汽集团2017年的交易数据，并导出 Excel
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dta = pro.daily(ts_code='600104.SH', start_date='20170101', end_date='20171231')
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dta = dta.sort_values('trade_date')
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dta.to_excel('dta.xlsx')
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# 获取沪深300指数2017年的交易数据，并导出 Excel
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hs300 = pro.index_daily(ts_code='399300.SZ', start_date='20170101', end_date='20171231')
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hs300 = hs300.sort_values('trade_date')
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hs300.to_excel('hs300.xlsx')
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