I used to run jupyter in an anaconda environment very well. After showing a warning on
IOPub data rate exceeded.
The notebook server will temporarily stop sending output
to the client in order to avoid crashing it.
To change this limit, set the config variable
`--NotebookApp.iopub_data_rate_limit`.
once I changed it by this command:
$jupyter notebook --NotebookApp.iopub_data_rate_limit=2147483647
it has suddenly become very slow, even it is not opening the content of the notebook. In the left bottom of Google chrome browser shows :
And take long time to open the notebook, and the color of the opened notebook in Home
is not green. I do not know why?
What is the reason and how can I restart Jupyter Notebook configuration?
Could you please help me with this?
I was having the same problem with the Jupyter notebook. I realized that Jupiter gets too slow when I set the limits too high.
For example,
import pandas as pd
pd.set_option('display.max_columns', 50000)
was causing serious time issues.
I changed it to:
pd.set_option('display.max_columns', 50)
and the problem was solved.
In your case, you can use:
$jupyter notebook --NotebookApp.iopub_data_rate_limit=1000000
I think this will solve your problem.
Thanks
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