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IOPub data rate exceeded in Jupyter notebook (when viewing image)

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How do I increase data limit in Jupyter notebook?

To change this limit, set the config variable `--NotebookApp. iopub_data_rate_limit`. The default data rate limit is 1000000, which you can find in your Jupyter notebook's config file.

What is IOPub?

IOPub: this socket is the 'broadcast channel' where the kernel publishes all side effects (stdout, stderr, debugging events etc.) as well as the requests coming from any client over the shell socket and its own requests on the stdin socket.

What does %% capture do Jupyter?

Capturing Output With %%capture IPython has a cell magic, %%capture , which captures the stdout/stderr of a cell. With this magic you can discard these streams or store them in a variable. By default, %%capture discards these streams. This is a simple way to suppress unwanted output.


Try this:

jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10

Or this:

yourTerminal:prompt> jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 

I ran into this using networkx and bokeh

This works for me in Windows 7 (taken from here):

  1. To create a jupyter_notebook_config.py file, with all the defaults commented out, you can use the following command line:

    $ jupyter notebook --generate-config

  2. Open the file and search for c.NotebookApp.iopub_data_rate_limit

  3. Comment out the line c.NotebookApp.iopub_data_rate_limit = 1000000 and change it to a higher default rate. l used c.NotebookApp.iopub_data_rate_limit = 10000000

This unforgiving default config is popping up in a lot of places. See git issues:

  • jupyter

  • IOPub data rate exceeded

It looks like it might get resolved with the 5.1 release

Update:

Jupyter notebook is now on release 5.2.2. This problem should have been resolved. Upgrade using conda or pip.


Removing print statements can also fix the problem.

Apart from loading images, this error also happens when your code is printing continuously at a high rate, which is causing the error "IOPub data rate exceeded". E.g. if you have a print statement in a for loop somewhere that is being called over 1000 times.


By typing 'jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10' in Anaconda PowerShell or prompt, the Jupyter notebook will open with the new configuration. Try now to run your query.


Some additional advice for Windows(10) users:

  1. If you are using Anaconda Prompt/PowerShell for the first time, type "Anaconda" in the search field of your Windows task bar and you will see the suggested software.
  2. Make sure to open the Anaconda prompt as administrator.
  3. Always navigate to your user directory or the directory with your Jupyter Notebook files first before running the command. Otherwise you might end up somewhere in your system files and be confused by an unfamiliar file tree.

The correct way to open Jupyter notebook with new data limit from the Anaconda Prompt on my own Windows 10 PC is:

(base) C:\Users\mobarget\Google Drive\Jupyter Notebook>jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10