[jupyter-notebook] IOPub data rate exceeded in Jupyter notebook (when viewing image)

I want to view an image in Jupyter notebook. It's a 9.9MB .png file.

from IPython.display import Image
Image(filename='path_to_image/image.png')

I get the below error:

IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.

A bit surprising and reported elsewhere.

Is this expected and is there a simple solution?

(Error msg suggests changing limit in --NotebookApp.iopub_data_rate_limit.)

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

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.

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.