Conversion fails with Scattergl

If I want to create an offline plot that contains the plotly Scattergl command I get an error message.

Consider the example below (which is run through a jupyter notebook with linux host and windows guest):

import plotly.io as pio
import plotly.graph_objs as go

traces = []

traces.append(
    go.Scattergl(
        y=[1, 3, 2]))

layout = go.Layout(
    width=800)

fig = go.Figure(data=traces, layout=layout)

# Plot and embed in ipython notebook
pio.write_image(fig, "simple_fig.png")

This will give the following error:

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-10-92d1a9d074fc> in <module>()
     14 
     15 # Plot and embed in ipython notebook
---> 16 pio.write_image(fig, "simple_fig.png")

~/usr/local/lib/python3.6/site-packages/plotly/io/_orca.py in write_image(fig, file, format, scale, width, height, validate)
   1483                         width=width,
   1484                         height=height,
-> 1485                         validate=validate)
   1486 
   1487     # Open file

~/usr/local/lib/python3.6/site-packages/plotly/io/_orca.py in to_image(fig, format, width, height, scale, validate)
   1388 Unfortunately, we don't yet know of an easy way to install poppler on Windows.
   1389 """
-> 1390         raise ValueError(err_message)
   1391 
   1392 

ValueError: 
The image request was rejected by the orca conversion utility
with the following error:
   525: plotly.js error

Changing Scattergl to Scatter will make the example work.

[gmrukwa]

I have the same problem. I export my plotly.express scatter plots to JSON, where I replace scattergl with scatter as a workaround and generate my .png files. I will experiment with this a bit longer for more elegant solution, but I already wasted several hours on basic plot dumps due to this issue. I tested all the proposed solutions, like

import plotly.io as pio
pio.orca.config.use_xvfb = True

etc., but none of them works.

BTW, README.md in repo root claims that default port for orca is 9091, while plotly randomly sets the port each time. That’s super unclear when using it in remote Docker containers (SSH with port forwarding & Docker on remote machine).

[Nikolai-Hlubek]

Dear @jonmmease

Thanks for your help. I tried your suggestion and have orca and Xvfb in the path.

$ which orca
~/usr/local/bin/orca
$ which Xvfb
/usr/bin/Xvfb
$ ls -hal ~/usr/local/bin/orca
... /home/nhlubek/usr/local/bin/orca -> /home/nhlubek/plotly-orca/orca-1.2.1-x86_64.AppImage

However I still get the same error messages as above when I run the scripts via jupyter or directly on the linux host.

Additionally after trying to run the commands a few times, opening and closing the notebook I’m left with the following processes:

16494 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --help
16538 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --version
16579 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca serve -p 37472 --plotly /home/nhlubek/usr/local/lib/python3.6
16711 ?        S      0:00 /usr/sbin/httpd -DFOREGROUND
16712 ?        S      0:00 /usr/sbin/httpd -DFOREGROUND
16713 ?        S      0:00 /usr/sbin/httpd -DFOREGROUND
16735 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --help
16775 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --version
16819 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca serve -p 38772 --plotly /home/nhlubek/usr/local/lib/python3.6
16925 ?        S      0:00 /usr/sbin/httpd -DFOREGROUND
16945 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --help
16990 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --version
17038 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca serve -p 43606 --plotly /home/nhlubek/usr/local/lib/python3.6
17206 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --help
17251 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca --version
17292 ?        Ss     0:00 /home/nhlubek/usr/local/bin/orca serve -p 45273 --plotly /home/nhlubek/usr/local/lib/python3.6