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Problem :

I am trying to view an image in the Jupyter notebook as below. It's size is 9.9MB .png file.

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

I am facing the following error :

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

This behavior is very surprising for me and also I think it got already reported elsewhere.

Is this the expected behavior and is there any simple solution on it?

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2 Answers

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Solution :

 I had ran into this issue while I was using networkx and bokeh

Below approach works for me in Windows 7 :

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

$ jupyter notebook --generate-config

2. Now you need to open the file and search for c.NotebookApp.iopub_data_rate_limit

3. After that just comment out the line c.NotebookApp.iopub_data_rate_limit = 1000000 and just change it to the higher default rate. l used the c.NotebookApp.iopub_data_rate_limit = 10000000

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

· jupyter

· IOPub data rate exceeded

It looks like as if it might get resolved with the 5.1 release

9 7 4
38,600 points
0 votes

Solution:

I ran into this employing networkx and bokeh

This performs for me in Windows 7

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

    $ jupyter notebook --generate-config

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

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

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

  • jupyter

  • IOPub data rate exceeded

It seems like it might obtain resolved with the 5.1 release

Update:

Jupyter notebook is currently on release 5.2.2. This problem must have been resolved. Upgrade employing conda or pip.

Attempt this:

jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10

Or this:

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

To solve this behaviour you can either begin the notebook with the command: jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 i.e with a greater than default iopub.data_rate , or make a jupyter_notebook_config.py 

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31,120 points

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