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visualisation

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bokeh
tcmetzger
tcmetzger commented Oct 26, 2021

As a follow-up to #11540, we would like to add metadata to as many examples as possible. This will not only make the examples more usable as they are right now, but it will also open up new possibilities to search for and crosslink examples.

For the purpose of this issue, 'standalone examples' are all .py files in these folders in this repository:

  • examples/plotting/file
  • `examples/mode
goatchurchprime
goatchurchprime commented Oct 30, 2018

I don't think this is a duplicate ticket, even though it's quite an obvious feature after that cat demo at SciPy2018.

The code that selects and renders the different geos is here in the THREE.js code
https://github.com/maartenbreddels/ipyvolume/blob/master/js/src/scatter.js#L57

I don't know quite where/how to inject the mesh definition compatible with the data file of this form, but i

enhancement help wanted good first issue
wjbenfold
wjbenfold commented Jun 1, 2022

📚 Documentation

A user suggested earlier today that it's not easy to discover the gallery in the docs because the userguide doesn't cross-reference to it at suitable points. This seems like an easy way to make the docs more useful, without mu

Type: Documentation Good First Issue
pylustrator

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

  • Updated Jun 6, 2022
  • Python

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