学习streamlit-1

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Streamlit
A faster way to build and share data apps

streamlit在几分钟内就可以将数据脚本转换为可共享的web应用程序，并且是纯python编程，无需前端经验。

快速开始

streamlit非常容易上手，运行demo只需2行代码：

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pip install streamlit
streamlit hello

运行后会在系统默认浏览器自动打开页面：

动画demo：

画曲线图demo：

可以访问这里查看更多好玩儿的demo。

streamlit建立在三个简单原则之上：

  • 拥抱脚本

    streamlit api非常简洁，正如前面所演示的，使用这些神奇简单的api，只需几行代码就可以构建应用程序，并可以实时更新。

  • 编织互动

    添加小部件只需声明变量，无需编写后端、定义路由、处理http请求、连接前端、编写html、css、javascript等等

  • 部署敏捷

    直接从 Streamlit 轻松共享、管理和部署您的应用程序。完全免费！

安装

windows上建议使用anaconda管理python开发环境，如果嫌弃anaconda过于庞大，可以安装miniconda。

将conda命令集成到windows terminal，可以参考这篇文章。

安装anaconda或miniconda后，建立一个streamlit的开发环境：

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❯ conda create -n streamlit-env python=3.9
Collecting package metadata (current_repodata.json): done
Solving environment: done


==> WARNING: A newer version of conda exists. <==
  current version: 4.10.3
  latest version: 23.1.0

Please update conda by running

    $ conda update -n base -c defaults conda



## Package Plan ##

  environment location: C:\Users\yp.wang\anaconda3\envs\streamlit-env

  added / updated specs:
    - python=3.9


The following packages will be downloaded:

    package                    |            build
    ---------------------------|-----------------
    ca-certificates-2023.01.10 |       haa95532_0         121 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    certifi-2022.12.7          |   py39haa95532_0         149 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    openssl-1.1.1t             |       h2bbff1b_0         5.5 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    pip-22.3.1                 |   py39haa95532_0         2.7 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    python-3.9.16              |       h6244533_0        19.4 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    setuptools-65.6.3          |   py39haa95532_0         1.1 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    sqlite-3.40.1              |       h2bbff1b_0         889 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    tzdata-2022g               |       h04d1e81_0         114 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    wheel-0.38.4               |   py39haa95532_0          83 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
    ------------------------------------------------------------
                                           Total:        30.1 MB

The following NEW packages will be INSTALLED:

  ca-certificates    anaconda/pkgs/main/win-64::ca-certificates-2023.01.10-haa95532_0
  certifi            anaconda/pkgs/main/win-64::certifi-2022.12.7-py39haa95532_0
  openssl            anaconda/pkgs/main/win-64::openssl-1.1.1t-h2bbff1b_0
  pip                anaconda/pkgs/main/win-64::pip-22.3.1-py39haa95532_0
  python             anaconda/pkgs/main/win-64::python-3.9.16-h6244533_0
  setuptools         anaconda/pkgs/main/win-64::setuptools-65.6.3-py39haa95532_0
  sqlite             anaconda/pkgs/main/win-64::sqlite-3.40.1-h2bbff1b_0
  tzdata             anaconda/pkgs/main/noarch::tzdata-2022g-h04d1e81_0
  vc                 anaconda/pkgs/main/win-64::vc-14.2-h21ff451_1
  vs2015_runtime     anaconda/pkgs/main/win-64::vs2015_runtime-14.27.29016-h5e58377_2
  wheel              anaconda/pkgs/main/win-64::wheel-0.38.4-py39haa95532_0
  wincertstore       anaconda/pkgs/main/win-64::wincertstore-0.2-py39haa95532_2


Proceed ([y]/n)?


Downloading and Extracting Packages
python-3.9.16        | 19.4 MB   | ############################################################################ | 100%
pip-22.3.1           | 2.7 MB    | ############################################################################ | 100%
certifi-2022.12.7    | 149 KB    | ############################################################################ | 100%
tzdata-2022g         | 114 KB    | ############################################################################ | 100%
openssl-1.1.1t       | 5.5 MB    | ############################################################################ | 100%
ca-certificates-2023 | 121 KB    | ############################################################################ | 100%
sqlite-3.40.1        | 889 KB    | ############################################################################ | 100%
setuptools-65.6.3    | 1.1 MB    | ############################################################################ | 100%
wheel-0.38.4         | 83 KB     | ############################################################################ | 100%
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate streamlit-env
#
# To deactivate an active environment, use
#
#     $ conda deactivate

激活环境，并安装streamlit：

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❯ conda activate streamlit-env

(streamlit-env)
~ via 🐍 v3.9.16 via 🅒 streamlit-env
❯ pip install streamlit
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streamlit的依赖项还是挺多的，这个环境几乎涵盖了用python做数据科学所需的包，所以除了学习streamlit外，其它跟数据科学相关的项目也可以用这个环境。

接下来，一行代码把streamlit运行起来：

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(streamlit-env)
~ via 🐍 v3.9.16 via 🅒 streamlit-env
❯ streamlit hello

  Welcome to Streamlit. Check out our demo in your browser.

  Local URL: http://localhost:8501
  Network URL: http://192.168.20.81:8501

  Ready to create your own Python apps super quickly?
  Head over to https://docs.streamlit.io

  May you create awesome apps!

这样就跑起来文章开头那个demo了。

可以使用 ctrl + c 停止运行程序，然后 conda deactivate 退出虚拟环境。