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
方法一: 从 PyPI 安装 (推荐)
pip install wind-linker
如果需要 pandas 支持:
pip install wind-linker[pandas]
方法二: 从源码安装
cd wind-linker/wind_linker
pip install -e .
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()
经济数据
# 获取经济指标数据
data = w.edb("M5567876", "2024-10-30", "2025-10-30", "Fill=Previous")
df = data.to_df()
# 多个指标
data = w.edb("M5567876,M0017126", "2024-01-01", "2025-01-01")
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
查看当前配置:
python -m wind_linker show
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")
配置优先级: 代码指定 > 环境变量 > 配置文件 > 默认值(localhost: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
安装要求
- Python >= 3.7
- requests >= 2.25.0
- pandas >= 1.0.0 (可选,用于 DataFrame 支持)
更新
查看当前版本:
pip show wind-linker
更新到最新版本:
pip install --upgrade wind-linker
常见问题
1. 如何查看当前配置的 API 地址?
python -m wind_linker show
2. 如何切换不同的 API 服务器?
python -m wind_linker config http://新地址:端口
3. 返回数据为空怎么办?
检查服务是否正常运行:
from wind_linker import w
print(w.health())
4. 如何开启调试模式?
from wind_linker import WindAPI
w = WindAPI(debug=True)
data = w.wsd("000001.SZ", "close", "2025-01-01", "2025-01-10")
许可证
MIT
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