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visualisation

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bokeh
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

bjlittle
bjlittle commented May 14, 2021

❤️ First Time Contributors

Welcome to Iris! 😊

This is a permanent pinned issue dedicated to our lovely first time contributors and those new to Iris, keen to get involved.

We'd really love to hear from you, so checkout our GitHub Discussions. Ask a question, share an idea, ask for help, tell us what we could do better or simply say `"Hi!"

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 Aug 19, 2021
  • Python

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