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

[Chloe Lewis]

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

Begin forwarded message:

 From: Chloe Lewis chle...@berkeley.edu
 Subject: Re: [Matplotlib-users] how to express statistical data in colors
 Date: October 26, 2012 10:47:54 AM PDT
 To: ran...@0x06.net
 
 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
 chle...@berkeley.edu
 

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[Matplotlib-users] rasterized colorbar

[Jody Klymak]

Hi all,

So I figured out the magic of rasterized=True, which is *really* helpful!

However, the colorbar doesn't seem to accept rasterized=True, so there are 
little lines every facet (zoom on the attached pdf).  Is there another way to 
get the colorbar colors rasterized?

Thanks Jody

x = linspace(0,1,1000)
X = outer(x,x)
pcolormesh(X,cmap=get_cmap('RdBu_r',lut=32),rasterized=True)
colorbar()
savefig('Test.pdf',dpi=50)




Test.pdf
Description: Adobe PDF document

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Jody Klymak
http://web.uvic.ca/~jklymak/




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