InfoVis libraries use the two dimensions of the printed page or computer screen to make abstract spaces interpretable, typically with axes and labels. The other libraries nearly all fall into the “ InfoVis” group, focusing on visualizations of information in arbitrary spaces, not necessarily the three-dimensional physical world. These libraries predate HTML5’s support for rich web applications, generally focusing on high-performance desktop-GUI applications in engineering or scientific contexts. These tools ( VisPy, glumpy, GR, Mayavi, ParaView, VTK, and yt) primarily build on the 1992 OpenGL graphics standard, delivering graphics-intensive visualizations of physical processes in three or four dimensions (3D over time), for regular or irregularly gridded data. One clearly separable group is the “ SciVis” libraries for visualizing physically situated data (in the lower left of the figure). Here, you can see several main groups of libraries, each with a different origin, history, and focus. To set the stage, I showed Jake VanderPlas’s overview of how the many different visualization libraries in Python currently relate to each other: This first post surveys the packages currently available and shows how they are linked, and subsequent posts will discuss how these tools have been evolving in recent years, and how they will go forward from here. I attended SciPy 2018 as a representative of PyViz, GeoViews, Datashader, Panel, hvPlot and Bokeh, and my Anaconda colleague Jean-Luc Stevens attended representing HoloViews. We heard updates on Matplotlib, Plotly, VisPy, and many more. This post is the first in a three-part series on the state of Python data visualization tools and the trends that emerged from SciPy 2018.Īt a special session of SciPy 2018 in Austin, representatives of a wide range of open-source Python visualization tools shared their visions for the future of data visualization in Python. Package Security Manager Trusted asset repository.Notebooks Cloud coding, storage, and sharing.Navigator Launch applications from your desktop.

Data Science & AI Workbench Build and deploy AI models.Distribution Trusted public and private repositories.Still sucks, if compared to TopoJSON, but tolerable. To work around this issue you have to build 3D geometry from tessellated 2D data on the fly – this puts 3D data size at ~150% of 2D. Much of this extra weight comes in the form of useless digits in vertex data, but even with that removed there is extra dimension, data duplication and so on. The catch is that corresponding three.js scene weighs much more than its 2D source data ( ObjectExporter blows 100 KB of GeoJSON up to many MBs). You end up with cone-shaped meshes that you can then scale to build this kind of geo- bar chart. This reminded me this gold I was sitting on, and now I was finally able to fork out some time to undust it and push to github.īasically, you take 2D country shapes and tessellate it on the sphere surface, then extrude towards the sphere center. Then I saw Kaspersky cyberthreat map this March, which used extruded country shapes to support zooming. It worked, and I went on with my life, leaving the code to collect the dust. This is very obvious idea, yet I had no time to try it until last November. In 3D, you could combine these two and end up with something like this: When people need to present per-country data such as GDP, they usually resort to color-coded maps or simple bar charts. I would need to make 10 more games like this before I can write one :) So the rest of this post is simply going to be adventure log, noting some tricks I used and some mistakes I made along the way.Ĭontinue reading ‘First-person shooter using three.js’ Well, the bad news are that I still can’t write the tutorial. It is easy to write “how to move the box” tutorial, but something more takes time that noone is really willing to spend. Originally I thought I would complete it in 2-3 days, Ludum Dare style, but since I had no enough motivation to spend all my time on this, it took me whole month of random short coding sessions to “complete” it (and there are still some bugs to fix).Īnother thing I hoped for was to write “how to make complete game with three.js” tutorial that all the internet would link to, as apparently there are no tutorials like that. The result is this sort of game where you pointlessly run around the platform and shoot monsters. With WebGL technology exploding, on the other hand, I’ve decided to do old-school first-person shooter to see if this kind of work is something I want to do from now on, and get better idea of all the challenges involved. I have strong flash background, but this technology does not feel well. I am no longer working on COLT and currently contemplating what to do next.

Threejs bokeh examples