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Currently, we produce the hosted copy of the notebook with ipython nbconvert --execute --to html. That produces a giant HTML blob with very large embedded png graphs. That HTML blob is huuuugge, 11MB and counting. It would be nice to (1) embed SVG graphs instead, they should be much smaller; and (2) split them out into separate files so the page can render before the graphs have been downloaded.
This is a good volunteer task if you're knowledgeable about Jupyter Notebook, Matplotlib and nbconvert...
The text was updated successfully, but these errors were encountered:
Likely strategy for this: modify matplotlib calls to write out svg files, and then modify Metric.graph() to write out HTML() embeds of those svg graphs.
Currently, we produce the hosted copy of the notebook with
ipython nbconvert --execute --to html
. That produces a giant HTML blob with very large embedded png graphs. That HTML blob is huuuugge, 11MB and counting. It would be nice to (1) embed SVG graphs instead, they should be much smaller; and (2) split them out into separate files so the page can render before the graphs have been downloaded.This is a good volunteer task if you're knowledgeable about Jupyter Notebook, Matplotlib and
nbconvert
...The text was updated successfully, but these errors were encountered: