Jupyterhub: IOPub limits setting to jupyterhub

[BoomBidiBuyBuy]

Hello,

I'm integrating jupyterhub with plotly (https://plot.ly/), and for python it works fine, but for R it returns the following error on the simple example from the plotly documentation:

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
--NotebookApp.iopub_data_rate_limit.

I have found the solution for jupyter (it's setting corresponding parameter as an arugment upyter notebook --NotebookApp.iopub_data_rate_limit=10000000000), but don't know where I could set that limit to jupyterhub. I've tried to set this variable in config file, like:

c.NotebookApp.iopub_data_rate_limit=10000000000

But without success. I've tried to set it right as an argument to jupyterhub 'jupyterhub --NotebookApp.iopub_data_rate_limit=10000000000', it it hasn't resolved the issue too.
I wonder where I could specify it to overcome this limitation?

Thanks,
With best regards,
Ruslan Galinsky

[BoomBidiBuyBuy]

I've resolved it with passing corresponding argument to spawner. Sorry fro the bothering!

[patrickfuller]

For those of you googling around for this:

c.Spawner.args = ['--NotebookApp.iopub_data_rate_limit=1000000000']

[shilpam11]

Seemed to me that the error is thrown when the internet is active and the command is used. However it executed when there was no internet connected.

[Prettyfield]

I didn't have access to the server, but I was able to work around this by simply setting a list index in the list I was trying to display. In other words,
print state_list would generate

IOPub data rate exceeded...
but
print state_list[:10000]
would generate the first 10k items in the list.
Not perfect, but useful as a work-around.