Wind 数据本地转发 API 客户端 - 简单易用的 Wind 金融数据接口
Project description
Wind Linker
Wind 数据本地转发 API 客户端 - 简单易用,无需直接调用 HTTP 接口。
快速开始
1. 安装
cd wind_linker
pip install -e .
如果需要 pandas 支持:
pip install -e .[pandas]
2. 配置 API 地址
python -m wind_linker config http://192.168.10.10:10010
3. 使用
from wind_linker import w
# 获取历史数据
data = w.wsd("000001.SZ", "close", "2025-01-01", "2025-01-10")
print(data.Data)
# 转换为 DataFrame
df = data.to_df()
print(df)
使用示例
历史数据
from wind_linker import w
# 单字段
data = w.wsd("000001.SZ", "close", "2025-01-01", "2025-01-10")
df = data.to_df()
# 多字段
data = w.wsd("000001.SZ", "open,high,low,close,volume", "2025-01-01", "2025-01-10")
df = data.to_df()
# 多品种
data = w.wsd("000001.SZ,600000.SH", "close", "2025-01-01", "2025-01-10")
df = data.to_df()
分钟数据
data = w.wsi("000001.SZ", "close,volume", "2025-01-10 09:30:00", "2025-01-10 15:00:00")
df = data.to_df()
实时行情
data = w.wsq("000001.SZ,600000.SH", "rt_last,rt_vol")
df = data.to_df()
板块成分
data = w.wset("sectorconstituent", "date=2025-01-10;sectorid=a001010100000000")
df = data.to_df()
批量查询
results = w.batch([
'w.wsd("000001.SZ", "close", "2025-01-01", "2025-01-10")',
'w.wsd("600000.SH", "close", "2025-01-01", "2025-01-10")'
])
for result in results:
print(result.to_df())
自定义代码
data = w.execute('w.wsd("000001.SZ", "close", "2025-01-01", "2025-01-10")')
df = data.to_df()
配置方式
方法 1: 命令行配置 (推荐)
python -m wind_linker config http://192.168.10.10:10010
方法 2: 环境变量
# Windows
set WIND_API_URL=http://192.168.10.10:10010
# Linux/Mac
export WIND_API_URL=http://192.168.10.10:10010
方法 3: 代码中指定
from wind_linker import WindAPI
w = WindAPI(base_url="http://192.168.10.10:10010")
API 参考
WindData 对象
返回的数据对象,包含以下属性:
ErrorCode: 错误码 (0 表示成功)Codes: 股票代码列表Fields: 字段列表Times: 时间列表Data: 数据列表to_df(): 转换为 pandas DataFrame (需要安装 pandas)
WindAPI 方法
wsd(codes, fields, begin_time, end_time, options=""): 历史数据wsi(codes, fields, begin_time, end_time, options=""): 分钟数据wsq(codes, fields="rt_last"): 实时行情wset(tablename, options=""): 板块成分execute(code): 执行自定义代码batch(codes): 批量执行health(): 健康检查
许可证
MIT
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