holoviews: IOPub data rate exceeded

With the 5.0.0b1 version of the Jupyter notebook server, I’m getting error messages instead of some of my HoloViews plots:

If this is a new thing, should HoloViews be increasing the limit to something more in line with the amount of data that HoloViews notebooks typically generate?

You are using Jupyter notebook.

The version of the notebook server is 5.0.0b1 and is running on:
Python 2.7.13 |Anaconda 2.5.0 (x86_64)| (default, Dec 20 2016, 23:05:08) 
[GCC 4.2.1 Compatible Apple LLVM 6.0 (clang-600.0.57)]

Python 2.7.13 |Anaconda 2.5.0 (x86_64)| (default, Dec 20 2016, 23:05:08) 
Type "copyright", "credits" or "license" for more information.

IPython 5.3.0 -- An enhanced Interactive Python.

About this issue

Original URL
State: closed
Created 7 years ago
Comments: 24 (21 by maintainers)

Most upvoted comments

For the Showcase notebook, I was able to get the output to appear in place of those error messages if I launched the server with:

jupyter notebook --NotebookApp.iopub_data_rate_limit=10000000  Showcase.ipynb

Not sure what units that value is in; 10 million somethings per something…

+44

jbednar on Mar 8, 2017

Here’s what their docs say:

NotebookApp.iopub_data_rate_limit : Float
Default: 1000000

(bytes/sec) Maximum rate at which messages can be sent on iopub before they are limited.

Surely there must be a way to override this for certain output, this was just meant to prevent a lot of text being dumped into your browser at once, which is a problem. I’ll do some digging.

philippjfr on Mar 8, 2017

Good Choice: jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 . It works for me. I had the same problem. https://community.plot.ly/t/tips-for-using-plotly-with-jupyter-notebook-5-0-the-latest-version/4156

DataPsycho on Jan 29, 2018

As a workaround something that worked for me was put a “time.sleep(0.3)” inside the loop; of course it must worked for others time intervals

antadlp on Oct 5, 2018

I ran into the issue with vastly smaller plots in mpl, I just wasn’t able to reproduce it reliably. It’s not the total size that matters, it’s the data rate…

jbednar on Apr 5, 2017