【量化】使用NiceGUI轻松展示股票行情信息（附代码）_nicegui支持pandas表格吗

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前言

发现一个方便写webui的库nicegui，闲来就试一试。方便数据展示，做个数据大屏。

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一、NiceGUI是什么？

NiceGUI是一个简单易用的基于Python的Web-UI框架，其目的是使在Python中开发前端应用程序变得容易。
NiceGUI基于FastAPI，封装了Quasar、Vue、Tailwind CSS、AG Grid、ECharts等，可以用来快速开发web或桌面程序。
NiceGUI官网：https://nicegui.io/

使用是不是很简单！

二、小试牛刀

NiceGUI 可以轻松展示 Pandas DataFrame，我们就使用 table() 函数本身可以显示 Pandas 数据。

1.获取行情信息

【行情采集】解析JS 1秒获取5000支股票瞬时行情（送代码，含筛选方法）https://blog.csdn.net/popboy29/article/details/127467048

2.webui展示

代码如下（示例）：

from nicegui import ui

df_data = get_stocklist_dfcfw()['df_data']# 函数来自上面的文章

df = df_data.copy()[(df_data['volume']>0) & (df_data['zhangfu']>9.9)].sort_values(by = 'zhangfu',ascending=False)
columns = {'close':'最新价','zhangfu':'涨幅%','zhangdie':'涨跌','volume':'成交量','amount':'成交额','zhenfu':'振幅%','hs_l':'换手率','pe_d':'动态PE','liangbi':'量比','code':'代码','name':'名称','high':'最高价','low':'最低价','open':'开盘价','pre_close':'昨收','z_value':'总市值','lt_value':'流通市值','sj_l':'市净率'}
df = df.copy().rename(index=str, columns=columns)
cols = ['代码','名称','昨收','最新价','涨幅%','涨跌','振幅%','开盘价','最高价','最低价','成交量','成交额','量比','换手率','总市值','流通市值','动态PE','市净率']
df = df[cols]

# print(df)

ui.label('检索当日股票涨幅大于9.9的股票')
ui.table(
    columns=[{'name': column, 'label': column, 'field': column} for column in df.columns],
    rows=df.to_dict('records'),
)
ui.run()
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总结

NiceGUI 还有很多用法，具体大家可以访问：https://nicegui.io/。

附录

nicegui安装记录，建议独立使用虚拟环境安装。

(base) C:\Users\Administrator>pip install nicegui  -i https://pypi.tuna.tsinghua.edu.cn/simple
Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting nicegui
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/44/b3/499a0f3de38de999e81c46a9536a9de6bc12b12bc10ca1d908c40206a506/nicegui-1.4.9-py3-none-any.whl (14.7 MB)
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Requirement already satisfied: Pygments<3.0.0,>=2.15.1 in d:\programdata\anaconda3\lib\site-packages (from nicegui) (2.15.1)
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Collecting fastapi<1.0.0,>=0.108.0 (from nicegui)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/e5/80/ddbf524c6169072ab5e8dd4e106d4eb482bf920da1996dde9f308f90aa8c/fastapi-0.109.0-py3-none-any.whl (92 kB)
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Collecting typing-extensions>=4.0.0 (from nicegui)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/b7/f4/6a90020cd2d93349b442bfcb657d0dc91eee65491600b2cb1d388bc98e6b/typing_extensions-4.9.0-py3-none-any.whl (32 kB)
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  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/56/ba/78b0a99c4da0ff8b0f59defa2f13ca4668189b134bd9840b6202a93d9a0f/httpcore-1.0.2-py3-none-any.whl (76 kB)
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  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/1e/fc/8a26c2adcd3f141e4729897633f03832b71ebea6f4c31cce67a92ded1961/httptools-0.6.1-cp310-cp310-win_amd64.whl (58 kB)
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Collecting pscript<0.8.0,>=0.7.0 (from vbuild>=0.8.2->nicegui)
  Downloading https://pypi.tuna.tsinghua.edu.cn/packages/f1/bc/980e2ebd442d2a8f1d22780f73db76f2a1df3bf79b3fb501b054b4b4dd03/pscript-0.7.7-py3-none-any.whl (126 kB)
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Installing collected packages: pscript, ifaddr, vbuild, typing-extensions, markdown2, itsdangerous, httptools, httpcore, bidict, watchfiles, uvicorn, starlette, simple-websocket, httpx, python-engineio, fastapi, python-socketio, fastapi-socketio, nicegui
  Attempting uninstall: typing-extensions
    Found existing installation: typing_extensions 4.4.0
    Uninstalling typing_extensions-4.4.0:
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ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
openapi-python-client 0.13.4 requires httpx<0.25.0,>=0.15.4, but you have httpx 0.26.0 which is incompatible.
Successfully installed bidict-0.22.1 fastapi-0.109.0 fastapi-socketio-0.0.10 httpcore-1.0.2 httptools-0.6.1 httpx-0.26.0 ifaddr-0.2.0 itsdangerous-2.1.2 markdown2-2.4.10 nicegui-1.4.9 pscript-0.7.7 python-engineio-4.8.2 python-socketio-5.11.0 simple-websocket-1.0.0 starlette-0.35.1 typing-extensions-4.9.0 uvicorn-0.25.0 vbuild-0.8.2 watchfiles-0.21.0

(base) C:\Users\Administrator>


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