jupyter获取股票交易日历数据
时间: 2023-11-10 19:18:33 浏览: 191
要在Jupyter中获取股票交易日历数据,你可以使用Tushare这个Python库来实现。首先,你需要安装Tushare库并获取一个Tushare的秘钥。然后,你可以使用以下代码来获取股票交易日历数据:
```python
import tushare as ts
# 设置Tushare秘钥
token = '这个地方放你的Tushare秘钥'
ts.set_token(token)
# 创建Tushare的API对象
pro = ts.pro_api(token)
# 查询交易日历数据
data = pro.trade_cal(start_date='20200101', end_date='20201231')
# 显示数据
print(data)
```
这段代码会返回一个包含交易日历数据的DataFrame。你可以根据需要对数据进行进一步处理和分析。请确保在代码中替换掉`'这个地方放你的Tushare秘钥'`这部分内容为你自己的Tushare秘钥。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
#### 引用[.reference_title]
- *1* *3* [【量化课程】03_股票数据获取](https://blog.csdn.net/liluo_2951121599/article/details/132270085)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* [【手把手教你如何从Tushare库下载股票数据,并保存在硬盘当中,第一篇数据过滤】](https://blog.csdn.net/weixin_44736043/article/details/123220931)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v93^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]
阅读全文
相关推荐














