Feature: scalar chart export as SVG/LaTeX/pgfplots about tensorboard HOT 6 OPEN

Given that we're already able to export to CSV, couldn't this be roughly implemented by having a "Save to image" option that plots the data from the CSV values? That would at the very least condense the "save to CSV -> load to numpy -> plot -> save to image" sequence of steps into a single step.

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Are no one working on this feature? As @velocirabbit mentions, having a Save to image option seems rather straight forward given the CSV data, and would be something a lot of us would use frequently.

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seems critical to have plots for publication, otherwise why not just use matplotlib?

would be more performant to use canvas than svg and much easier to save

http://bl.ocks.org/biovisualize/8187844

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I have created a simple Python script to help in creating pdf plots using the TensorBoard data for use in LaTeX.

You can find it here: https://github.com/JuliusBairaktaris/TensorBoard-to-PDF

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We don't foresee being able to implement this in the near future, but PRs are welcome. Note that the current vz-line-chart component that implements the scalar charts does use SVG elements, but it uses a constellation of such elements that together make up the chart, so even an implementation to export as SVG would require somehow compositing together those elements correctly.

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I have created a simple Python script to help in creating pdf plots using the TensorBoard data for use in LaTeX.

You can find it here: https://github.com/JuliusBairaktaris/TensorBoard-to-PDF

I don't mind external tools to do this, but it would be much better if this was an integrated feature into TensorBoard.

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