CODEWITHSUNDEEP
jupyter-notebookipythonjupyter
lmart999
lmart999

Reputation: 7051

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.)

Upvotes: 200

Views: 494755

Answers (14)

B.J.
B.J.

Reputation: 1

None of these seemed to work for me, but this did. I'm using a Mac, so in Finder I searched for "iopub_data_rate_limit" and a file named "channels.py" showed up. In that file I changed the rate limit from 1000000 to 1000000000 (added three more zeros). I shut everything down and reopened it. This fixed my issue immediately.

Hope this helps!

Upvotes: 0

Rich Lysakowski PhD
Rich Lysakowski PhD

Reputation: 3095

I get the same error message in JupyterLab 3.6.3 (on Python 3.10.0 on Windows 10) when I use the help() on Pandas.

Although the help() function does not use print explicitly, the pandas documentation is 100s of pages long, so probably exceeds JupyterLab's or Jupyter Notebook capacity to display it.

The return type of the help() function and it is a NoneType so it likely uses the print() function internally or at least the str() attribute, which is the equivalent result as the print() function.

$ import pandas

$ help(pandas)

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

I get the same error message from Jupyter Classic NB started from the Help menu of JupyterLab 3.6.3.

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

Current values: ServerApp.iopub_data_rate_limit=1000000.0 (bytes/sec) ServerApp.rate_limit_window=3.0 (secs)

Server Information: You are using Jupyter NbClassic.

Jupyter Server v2.5.0 Jupyter nbclassic v0.5.3 (started using the "Launch Jupyter Classic Notebook dropdown menu within JupyterLab "Help" menu)

The solution above ( jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10 ) eliminated the help() function output error message. It gives me the full pandas help documentation within the JupyterLab NB output cell.

Thanks for the answers.

Upvotes: 0

Andrei Tulbure
Andrei Tulbure

Reputation: 81

I have the same problem in my Jupyter NB on Win 10 when querying from a MySQL database.

Removing any print statements solved my problem.

Upvotes: 4

Javier Marchena Hurtado
Javier Marchena Hurtado

Reputation: 11

In general, trying to print something that is too long will trigger this error. I tried to print a string that was 9221593 characters long (too long), and that triggered the error.

Upvotes: 0

Skynet
Skynet

Reputation: 45

Using Visual Studio Code, the Jupyter extension will be able to handle big data. launch from anaconda navigator

Upvotes: 0

Toonia
Toonia

Reputation: 145

Like others pointed out, print statement at a high rate can cause this. Resolve it by printing modulo a number using if statement. Example in python:

k = 10
if (i % k == 0):
   print("Something")

Increase k if the warning persists.

Upvotes: 0

Shikha Budhiraja
Shikha Budhiraja

Reputation: 79

Easy workaround is to create a for loop and print. Then there wont be any issue. Printing directly wcc would cause if graph is huge. Hence any of below code will work as workaround.

wcc=list(nx.weakly_connected_components(train_graph)) for i in range(1,10): print(wcc[i])

for i in wcc): print(wcc)

Upvotes: 0

desertBorn
desertBorn

Reputation: 31

I ran into this problem running version 6.3.0. When I tried the top rated solution by Merlin the powershell prompt notified me that iopub_data_rate_limit has moved from NotebookApp to ServerApp. The solution still worked but wanted to mention the variation, especially as internal handling of the config may become deprecated.

Upvotes: 2

Sincole Brans
Sincole Brans

Reputation: 304

For already running docker containers, try editing the file name - ~/.jupyter/jupyter_notebook_config.py uncomment the line - NotebookApp.iopub_data_rate_limit = and set high number like 1e10. Restart the docker, it should fix the problem

Upvotes: 1

azizbro
azizbro

Reputation: 4250

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.

Upvotes: 41

OnceUponATime
OnceUponATime

Reputation: 488

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

Upvotes: 6

munzer manzlgi
munzer manzlgi

Reputation: 101

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.

Upvotes: 10

Merlin
Merlin

Reputation: 25639

Try this:

jupyter notebook --NotebookApp.iopub_data_rate_limit=1.0e10

Or this: 

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

Upvotes: 230

Itay Livni
Itay Livni

Reputation: 2188

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:

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.

Upvotes: 100

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