Tips for #visualization with #matplotlib and pandas and also something called seaborn, with a walkthrough of a series of financial examples
on 02017-07-13"Stardust": #GPGPU in #JS for data #visualization with a D3-like API, complementary to D3.
on 02017-06-17pcolormesh is the #matplotlib function for #visualization of 2-D arrays as e.g. pixels.
on 02016-09-11#Visualization of the properties of different fluorescent proteins useful in molecular #biology, cc-by.
on 02016-09-04John Baez did some beautiful #visualization of roots of integer-coefficient polynomials. #math
on 02016-08-12a tutorial on data #visualization using #R and ggplot2.
on 02015-12-29This #tutorial #introduction to A* #pathfinding #search for #video-games programming, by @redblobgames, has interactive demonstrations! I don’t remember those from before! The #UX somewhat lacks affordances to indicate that the things in the illustrations are draggable, so the text has to tell you, but in many other ways, these are among the best #visualization of #algorithms I’ve ever seen.
on 02015-08-13#matplotlib has a pyplot.xkcd() function to reduce the perceived seriousness of #visualization results! This is awesome! I think it just uses Humor Sans or Comic Sans for the text though. And it’s not in the old version of matplotlib I’m using.
#examples of how to do #visualization of small multiples with #matplotlib pyplot in #Python, using subplots and iterating over the axes in its return value
#visualization of #time-series #quantiles (on #space-travel #predictions)
on 02015-08-12