skills/tushare-data-1.0.5/scripts/stock_data_example.py
wangyitong a65adcc2e5 Initial commit: merged, deduplicated, and vetted skill collection
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:

- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
  ../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
  zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
  - docx family: kept docx (official, full toolchain) + docx-cn
    (GB/T 9704 Chinese official-document constants),
    dropped docx_writer (no scripts, name collided with docx)
  - humanizer family: kept humanizer-zh (6 zh reference docs),
    dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
  ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
  claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
  live credentials

Result: 25 skills, 572 files, ~7.5 MB.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-13 14:47:12 +08:00

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
股票数据获取示例脚本
"""
import tushare as ts
import pandas as pd
import os
# 设置tushare API密钥
# 请在使用前设置您的API密钥, tushare>=1.4.25 版本 支持从环境变量中获取 TUSHARE_TOKEN。
# ts.set_token('your_token_here')
# 初始化pro接口
pro = ts.pro_api()
def get_stock_list():
"""
获取股票列表
"""
try:
data = pro.stock_basic(exchange='', list_status='L', fields='ts_code,symbol,name,area,industry,list_date')
print("股票列表获取成功:")
print(data.head())
return data
except Exception as e:
print(f"获取股票列表失败:{e}")
return None
def get_daily_data(ts_code, start_date, end_date):
"""
获取股票日线数据
"""
try:
data = pro.daily(ts_code=ts_code, start_date=start_date, end_date=end_date)
print(f"{ts_code}日线数据获取成功:")
print(data.head())
return data
except Exception as e:
print(f"获取日线数据失败:{e}")
return None
def get_financial_data(ts_code, year, quarter):
"""
获取财务指标数据
"""
try:
data = pro.fina_indicator(ts_code=ts_code, year=year, quarter=quarter)
print(f"{ts_code}财务指标数据获取成功:")
print(data.head())
return data
except Exception as e:
print(f"获取财务指标数据失败:{e}")
return None
def main():
"""
主函数
"""
print("===== tushare 股票数据获取示例 =====")
# 获取股票列表
stock_list = get_stock_list()
if stock_list is not None:
# 获取第一只股票的代码
ts_code = stock_list['ts_code'].iloc[0]
print(f"\n使用股票代码:{ts_code}")
# 获取日线数据最近30天
import datetime
end_date = datetime.datetime.now().strftime('%Y%m%d')
start_date = (datetime.datetime.now() - datetime.timedelta(days=30)).strftime('%Y%m%d')
print(f"\n获取日线数据:{start_date}{end_date}")
get_daily_data(ts_code, start_date, end_date)
# 获取财务数据(最近一年)
current_year = datetime.datetime.now().year
print(f"\n获取财务数据:{current_year-1}年 第4季度")
get_financial_data(ts_code, current_year-1, 4)
if __name__ == "__main__":
main()