Python 如何在 Jupyter 笔记本中使用破折号？
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How to use dash within Jupyter notebook?
提问by bluprince13
Is it possible to have a dash app within a Jupyter Notebook, rather than served up and viewed in a browser?
是否可以在 Jupyter Notebook 中安装一个破折号应用程序，而不是在浏览器中提供和查看？
My intention is to link graphs within a Jupyter notebook so that hovering over one graph generates the input required for another graph.
我的目的是在 Jupyter 笔记本中链接图形，以便将鼠标悬停在一个图形上会生成另一个图形所需的输入。
采纳答案by vasili111
Try JupyterDash: https://github.com/plotly/jupyter-dash
试试 JupyterDash：https: //github.com/plotly/jupyter-dash
More about it here: https://medium.com/plotly/introducing-jupyterdash-811f1f57c02e
更多关于它的信息：https: //medium.com/plotly/introducing-jupyterdash-811f1f57c02e
回答by Chris P
(Disclaimer, I help maintain Dash)
（免责声明，我帮助维护 Dash）
See https://github.com/plotly/jupyterlab-dash. This is a JupyterLab extension that embeds Dash within Jupyter.
请参阅https://github.com/plotly/jupyterlab-dash。这是一个 JupyterLab 扩展，它在 Jupyter 中嵌入了 Dash。
Also see alternative solutions in the Dash Community Forumlike the Can I run dash app in jupyter topic.
另请参阅Dash 社区论坛中的替代解决方案，例如Can I run dash app in jupyter 主题。
回答by raj
Look for plotly offline.
寻找 plotly 离线。
Say you have a figure (e.g. fig = {'data': data, 'layout':layout} )
假设你有一个数字（例如 fig = {'data': data, 'layout':layout} ）
Then, inside a jupyter notebook cell,
然后，在 jupyter notebook 单元中，
from plotly.offline import iplot, init_notebook_mode
init_notebook_mode()
# plot it
iplot(fig)
This will plot the plotly inside your jupyter. You dont even have to run the flask server.
这将在您的 jupyter 中绘制 plotly。您甚至不必运行 Flask 服务器。
回答by igrinis
回答by Malik_Day
You can install jupyter-plotly-dashso that you can run the dash apps on Jupyter Notebook. You might need to think about the offline-component of plotly, but I'm not too sure how that will work. Hope this helps!
您可以安装jupyter-plotly-dash以便您可以在 Jupyter Notebook 上运行 dash 应用程序。您可能需要考虑 plotly 的离线组件，但我不太确定它是如何工作的。希望这可以帮助！
回答by FabienP
I am not sure dashapps can be displayed within a Jupyter notebook. But if what you're looking for is using sliders, combo boxes and other buttons, you may be interested in ipywidgetsthat come from Jupyter directly.
我不确定dash应用程序是否可以显示在 Jupyter 笔记本中。但是，如果你正在寻找什么用滑块，组合框和其他按钮是，你可能有兴趣在ipywidgets直接来自Jupyter。
These may be used with plotly, as shown here.
这些可以与plotly被使用，如所示在这里。
EDIT
编辑
Eventually it seems that there are solutions to embed dashapps inside Jupyter by using an iframe and IPython.display.display_html().
See this functionand this GitHub repofor details.
最终似乎有解决方案可以dash通过使用 iframe 和IPython.display.display_html(). 有关详细信息，请参阅此函数和此 GitHub 存储库。
