保存显示 Plotly Express 小部件的 Jupyter Notebook

Question

I have a Jupyter notebook (python) where I used plotly express to plot in the notebook for analysis purposes. I want to share this notebook with non-coders, and have the interactive visuals be available still - but it does not seem to work.

I tried following recommendations made here but even after saving widgets state and using nbconvert , when I open the new HTML file, the visuals are not available.

A sample line of plotting can be seen below:

import plotly_express as px
fig = px.scatter(
    df, 
    x='size', 
    y='size_y', 
    color='clients',
    hover_data=['id'], 
    marginal_y="histogram", 
    marginal_x="histogram"
)
fig.show()

Answer 1

在单元格中运行plotly.offline.init_notebook_mode()后，您可以通过文件菜单导出具有完全交互性的笔记本： File --> Export Notebook as... --> Export Notebook to HTML 。

Answer 2

I was having similar issues but with JupyterLab. Followed the instructions here: https://plot.ly/python/renderers/ .

import plotly.io as pio
pio.renderers.keys()

I had to add the following snippet to my script:

import plotly.io as pio
pio.renderers.default = 'jupyterlab'

Exporting as HTML after that worked for me. You can read "Overriding the default renderer".

I suppose you would need

pio.renderers.default = 'notebook' 

Answer 3

You can specify the default renderers from plotly with:

    import plotly.io as pio
    pio.renderers.default = 'pdf'

or when displaying the images with:

    fig.show(renderer="pdf")

The 2 choices for you are:

• 'notebook': work well with jupyter notebook;
• 'pdf': perfect when using nbconvert to convert to HTML or LATEX

You can also join the 2 with "notebook+pdf" so you have iterative plots when running the notebook and static images when converting with nbconvert.

Answer 4

I agree with @hamiq. With the new version of plotly and Dash, it's a lot easier to use both inside JupyterLab and to work with interactive plots. Here's a link for a tutorial I made that explains how to get started with JupyterLab and JupyterDash. https://youtu.be/QkOKkrKqI-k

I hope this helps everyone with the installation and the set-up.