coatless-rpkg / cetcolor Goto Github PK

c.f. https://peterkovesi.com/projects/colourmaps/

Note: Update May 2018: New colour maps L16-L19, D1A and D13

WIP in #6

No code coverage at the moment.

Could be useful in the future.

Figure out a way to get a more generalized gradient so plots using greater than 256 colors can be used.

• Run against winbuilder
• Update NEWS.md
• Update DESCRIPTION version number
• Mark a new release upon CRAN upload

@peterkovesi do you by chance have any update notes as to how the color palettes have changed recently? Anything with respect to the rename of old palettes found in 2018.

I'm seeing a bunch of new names and existing palettes having ~3 decimal places instead of 5 decimal places.

82ec912

Think about adding some hooks for ggplot2... (Package will have more dependencies though... )

Switch naming scheme to codes

Dropped the CET- prefix and use lowercase letters, e.g. d1, i1, ...

c.f.

In practice I simply refer to the colour maps by a number prefixed by one or two characters to indicate whether the map is linear (l), diverging (d), rainbow (r), cyclic(c), isoluminant (i) or colour blind (cb). Thus, for example, the linear greyscale is 'l1' or 'cet-l1', the heat colour map is 'l3' or 'cet-l3' and the blue-white-red diverging map is 'd1' or 'cet-d1' etc, etc. In the visual catalogue shown further below you will see each colour map with both its simple and complex names.

https://peterkovesi.com/projects/colourmaps/

For those who came here looking for a Python colorcet implementation, you'll find the Glasbey palettes missing.

These can be converted quite easily though. Download the assets folder from colorcet then:

  GlasbeyCsvDir <- r"(...\)"  
  fn <- glue("{GlasbeyCsvDir}glasbey_hv_n256.csv")
  
  data <- readr::read_csv( fn,
                   col_names = c("R", "G", "B"),
                   col_types = c("d", "d", "d")
                   )  
  glPal <- rgb(data)

Not as convenient as the cetcolor package of course.