[Matplotlib-devel] article on scales

[Nicolas P. Rougier]

I’ve started some experiments at: https://github.com/rougier/pyd3

I’ve only implemented linear scales (pyd3.scale) so far, but it is a good start at showing what can be done because it also requires the d3-interpolate functions (pyd3.interpolate). Almost all (translated) D3 tests pass.


For example, you can write:

  >>> from pyd3 import interpolate
  >>> i = interpolate.value( {"bg": "red"}, {"bg": "green”} )
  >>> print(i(.5)
  >>> {"bg": "#804000”}


Also, I’ve used linear/power/log scales in glumpy and they are pretty useful (but implementation is only for the GPU).


Nicolas


> On 29 Dec 2015, at 00:10, Brian Granger <ellisonbg at gmail.com> wrote:
> 
> Nice, I would really like to see a nice python scale library that was
> independent of any particular viz package that everyone could start to
> use...
> 
> On Mon, Dec 28, 2015 at 11:17 AM, Thomas Caswell <tcaswell at gmail.com> wrote:
>> There has been some discussion about how to generalize/unify the mixture of
>> scaling functionality in mpl (axes scales, color.norm, and the units
>> framework).  Mike Bostock has pulled the scale functionality out of d3 [1],
>> we might want to take a look at that for API inspiration (also scroll to the
>> bottom of the post and note what color maps he uses as demo :) ).
>> 
>> Tom
>> 
>> [1] https://medium.com/@mbostock/introducing-d3-scale-61980c51545f
>> 
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> 
> 
> -- 
> Brian E. Granger
> Associate Professor of Physics and Data Science
> Cal Poly State University, San Luis Obispo
> @ellisonbg on Twitter and GitHub
> bgranger at calpoly.edu and ellisonbg at gmail.com
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