Save Jupyter Notebook with Plotly Express widgets displaying
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()
Answers:
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'
After running plotly.offline.init_notebook_mode()
in a cell,
you can export the notebook with full interactivity via the file menu:
File --> Export Notebook as... --> Export Notebook to HTML
.
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.
I just had a problem that resulted in this error message.
nbconvert/filters/widgetsdatatypefilter.py:69: UserWarning: Your element with mimetype(s) dict_keys(['application/vnd.plotly.v1+json']) is not able to be represented.
warn("Your element with mimetype(s) {mimetypes}"
Google brought me here, but I could not find a solution from the answers above.
I’m sharing the setup which caused my problem and the solution.
I was running the notebook in VS Code and then on the command line using: jupyter nbconvert
To solve it, I had to start jupyter lab and then run it and save it before running nbconvert.
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()
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'
After running plotly.offline.init_notebook_mode()
in a cell,
you can export the notebook with full interactivity via the file menu:
File --> Export Notebook as... --> Export Notebook to HTML
.
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.
I just had a problem that resulted in this error message.
nbconvert/filters/widgetsdatatypefilter.py:69: UserWarning: Your element with mimetype(s) dict_keys(['application/vnd.plotly.v1+json']) is not able to be represented.
warn("Your element with mimetype(s) {mimetypes}"
Google brought me here, but I could not find a solution from the answers above.
I’m sharing the setup which caused my problem and the solution.
I was running the notebook in VS Code and then on the command line using: jupyter nbconvert
To solve it, I had to start jupyter lab and then run it and save it before running nbconvert.