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The following use case:
I use jupyter with plotly. In some notebooks we plot large amount of data > 1e6 points. Embedding the plot directly in the notebook causes the notebooks to get very large > 100Mb.
This causes issues with
This saves the picture to an external file and embeds the contents of this file in Jupyter, therefore bypassing all issues mentioned above. Since googling showed that other users sometimes have similar issues maybe it is a good idea to add the above code to plotly.offline.iplot and make it available via a option?
Best regards
Nikolai
The text was updated successfully, but these errors were encountered:
Thanks for the suggestion @Nikolai-Hlubek, I can see that this could be really useful in some situations. As it happens, I was in the middle of large rewrite of the plotly.py rendering system when I saw this, and it was actually pretty easily to integrate it as an option based on what I had so far. See the writeup at #1474 for more context if you're interested!
I am using Jupyter notebook as a public server and accessing remotely when i am trying to run some plot with plotly it's not showing on my remote web browser its throw error "127.0.0.1 refused to connect." not sure in iframe how to use original server ip instead of 127.0.0.1.
Dear all
The following use case:
I use jupyter with plotly. In some notebooks we plot large amount of data > 1e6 points. Embedding the plot directly in the notebook causes the notebooks to get very large > 100Mb.
This causes issues with
The following solution seems to solve these issues for me:
This saves the picture to an external file and embeds the contents of this file in Jupyter, therefore bypassing all issues mentioned above. Since googling showed that other users sometimes have similar issues maybe it is a good idea to add the above code to plotly.offline.iplot and make it available via a option?
Best regards
Nikolai
The text was updated successfully, but these errors were encountered: