Palettes (with amazing one)

Palette is very important for beauty of picture.

There are additional palette except known palette.

Basic one, Additional one

Name Type Color-
blind
Photo-
copy
Example
blue_green_yellow
yellow_green_blue
sequential Y Y blue_green_yellow figure

example script

green_brown
green_brown
diverging Y N green_brown figure

example script

purple_orange
orange_purple
diverging Y N orange_purple figure

example script

yellow_orange_brown
yellow_orange_brown
sequential Y ? yellow_orange_brown figure

example script

orange_red
red_orange
sequential Y Y orange_red figure

example script

purple_red sequential Y ? purple_red figure

example script

red_purple sequential Y ? red_purple figure

example script

At the University of Oregon site, a number of palettes are defined and discussed. Here is a list of several that we have implemented for Ferret, with comments from the University of Oregon Data Graphics Research group. For all of these palettes except the last, categorical_12_step, there are pairs of palettes which contain the same colors in reverse order.

 

blue_darkred
darkred_blue
Useful for temperature-like data, with a subjective interpretation (blue=cold, red=hot) blue_darkred figure

example script

blue_brown
brown_blue
Useful for data with a dry (brown) vs. wet (blue) association blue_brown figure

example script

blue_darkorange
darkorange_blue
Useful for data without a specific subjective color association blue_darkorange figure

example script

blue_green
green_blue
Useful for data with a winter (blue) vs. summer (green) association blue_green figure

example script

blue_orange
orange_blue
Bright blue to Bright orange colors. Useful for data like sea-level pressure, with a subjective association (blue=low, wet, orange=high, dry) blue_orange figure

example script

green_magenta
magenta_green
Useful for generic diverging data. Colors can be differentiated by color-deficient viewers green_magenta figure

example script

categorical_12_step Attempt at a categorical color scale with colors that may be distinguishable to all viewers categorical_12_step figure

example script

 

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