ocean colormaps about plotutils.jl HOT 9 CLOSED

These are really nice. Thanks for letting me contribute them on your behalf @kthyng!

using Plots; pyplot()
cmaps = [:algae,:amp,:balance,:curl,:deep,:delta,:dense,:gray,:haline,:ice,:matter,:oxy,:phase,:solar,:speed,:tempo,:thermal,:turbid]
z = (1:10)*(1:20)'
plot([heatmap(z,fc=cm,leg=false,title=cm,ticks=nothing) for cm=cmaps]..., size=(1000,1000))

@pkofod do these inspire you to make any new themes?

from plotutils.jl.

Strongly pro! I'm not familiar with Julia syntax though. Happy to
facilitate if someone knows and can do it more quickly.

On Thursday, October 13, 2016, Tom Breloff [email protected] wrote:

@kthyng https://github.com/kthyng: Nice colormaps... how would you feel
about contributing to the available colormaps for visualization in Julia?

http://tos.org/oceanography/assets/docs/29-3_thyng.pdf

cc: @pkofod https://github.com/pkofod

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Kristen M. Thyng
Assistant Research Professor
Department of Oceanography
Texas A&M University
Eller O&M 607
http://kristenthyng.com

from plotutils.jl.

Excellent. 🎉 It's up to you... if you were to give us a list of colors for each map, it wouldn't be too hard for us to add it. I'd set you as the author of the commit so that you get credit for it, and I'd link to your paper at the top of the file. Let me know.

from plotutils.jl.

Cool — the rgb values are in text files here:
https://github.com/matplotlib/cmocean/tree/master/cmocean/rgb

On Thu, Oct 13, 2016 at 4:31 PM, Tom Breloff [email protected]
wrote:

Excellent. 🎉 It's up to you... if you were to give us a list of colors
for each map, it wouldn't be too hard for us to add it. I'd set you as the
author of the commit so that you get credit for it, and I'd link to your
paper at the top of the file. Let me know.

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Kristen M. Thyng
Assistant Research Professor
Department of Oceanography
Texas A&M University
Eller O&M 607
http://kristenthyng.com

from plotutils.jl.

88fd15a

from plotutils.jl.

Also... isn't it about time you ditch python and switch to julia? ;)

from plotutils.jl.

@tbreloff Nice work, Tom! I see there's no shortage of color fans using Julia!

using Plots
using ColorSchemes
pyplot()
z = (1:10)*(1:20)'
map(cs -> PlotUtils.register_gradient_colors(Symbol(cs), loadcolorscheme(cs)), list());
cschemes = keys(PlotUtils._gradients)
plot([heatmap(z,fc=cm,leg=false,title=cm,ticks=nothing, titlefont = font(8)) for cm=cschemes]..., size=(1000,1000))

The only interesting thing about ColorSchemes is that you can extract them from existing images. If there's anything useful there, help yourself! :)

Edit: Fixed the font size for the labels...

from plotutils.jl.

Very cool! It might be nice to have a few methods to easily load external
color packages without adding the dependecies

On Saturday, October 15, 2016, cormullion [email protected] wrote:

@tbreloff https://github.com/tbreloff Nice work, Tom! I see there's no
shortage of color fans using in Julia!

using Plots
using ColorSchemes
pyplot()
z = (1:10)*(1:20)'
map(cs -> PlotUtils.register_gradient_colors(Symbol(cs), loadcolorscheme(cs)), list());
cschemes = keys(PlotUtils._gradients)
plot([heatmap(z,fc=cm,leg=false,title=cm,ticks=nothing) for cm=cschemes]..., size=(1000,1000))

[image: screen shot 2016-10-15 at 13 39 22]
https://cloud.githubusercontent.com/assets/52289/19410165/e5711c1c-92dc-11e6-806e-db3913d7b371.png

The only interesting thing about ColorSchemes is that you can extract them
from existing images. If there's anything useful there, help yourself! :)

(PS: Sorry about the too-large labels...)

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from plotutils.jl.

Cool! And I've heard only good things about Julia, indeed.

from plotutils.jl.