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How to use the Julia jupyter kernel to generate plots in output #53
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There are a couple of issues. The other issue is that |
Excellent. Okay, I set the default to I sometimes see that |
…ich output formats that are automatically displayed (#53)
The dev version on GitHub now fixes a bug in creating SVG files and adds SVG to the formats that are automatically displayed. So SVG will work automatically by default now. It's working very nicely in Codebraid Preview. A new release with these features will be on PyPI in the next day or so. For the case of creating PDF files, you may still want PNG, depending on how you are telling Pandoc to create the PDF and whether that method supports SVG images. |
The |
I was trying to understand how to generate plots in a codebraid file with
julia
codeblocks. Julia has its own jupyter kernel, usually calledIJulia
.Would something like this work, or does
codebraid
not yet support Julia jupyter kernels? Also, usually Julia jupyter kernels are attached to a Julia virtual environment. I thinkcodebraid
designed to pick the Julia environment that is in the same directory as the pandoc markdown file--as per the changelog and the addition of the--project=@.
flag. So would this set then allow me to call the localIJulia
jupyter kernel from the local Julia environment--as opposed to the global environment, etc.I tried the following code:
While there are no errors, the file does not show the actual plot. I also attached the original file and the pdf.
julia_output.pdf
julia-braid-test.md
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