Re: [Matplotlib-users] how to express statistical data in colors

[Chloe L. <ch...@be...>]

Chloe Lewis 
PhD candidate, Harte Lab
Division of Ecosystem Sciences, ESPM
University of California, Berkeley
137 Mulford Hall
Berkeley, CA  94720
ch...@be...

Begin forwarded message:

> From: Chloe Lewis <ch...@be...>
> Subject: Re: [Matplotlib-users] how to express statistical data in colors
> Date: October 26, 2012 10:47:54 AM PDT
> To: ra...@0x...
> 
> you'll be doing something like the second color bar, but making the boundary and color definitions a lot more flexible. Where the discrete color bar uses
> 
> cmap = mpl.colors.ListedColormap(['r', 'g', 'b', 'c'])
> bounds = [1, 2, 4, 7, 8]
> you'll be making a whole LinearSegmentedColormap, see
> http://matplotlib.org/api/colors_api.html#matplotlib.colors.LinearSegmentedColormap
> and check out specifically the ascii-art explanation of interpolation between row[i] and row[i+1]. Red, green, blue will break based on your data density and how you want to express 'intensity'. And depending on whether you'll make it red-green-colorblindness neutral!
> Interesting problem. Has it been implemented in some other software?
> 
> Chloe Lewis 
> PhD candidate, Harte Lab
> Division of Ecosystem Sciences, ESPM
> University of California, Berkeley
> 137 Mulford Hall
> Berkeley, CA  94720
> ch...@be...
>