Implementation of the Matplolib 'viridis' color map in R
R
Latest commit e54d97f Jun 22, 2016 @sjmgarnier committed on GitHub Merge pull request #35 from davharris/patch-1
viridisMap is listed in the man page, but is not exported in the current version.

README.md

viridis

cran version rstudio mirror per-month downloads rstudio mirror total downloads

Matplotlib recently introduced new color maps for their graphs. They are called viridis, magma, inferno, and plasma. viridis was made the new default color map of Matplotlib.

These four color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.

AND... they are pretty!

AND... they are now available for R!


Look how pretty they are!

Sample image


Installation

viridis 0.3.4 is now available on CRAN.
You can install it using RStudio package manager or by typing the following line in your R terminal:

install.packages("viridis")
library(viridis)

If you prefer to install the development version from this GitHub repository, simply copy the following lines of code in your R terminal and it should install everything you need to use viridis on your computer:

if (!require("devtools")) install.packages("devtools")
devtools::install_github("sjmgarnier/viridis")

library(viridis)

See the vignette for more details.

Maintainer(s)

Simon Garnier - @sjmgarnier - garnier@njit.edu


References

The color maps in the viridis package were created by Stéfan van der Walt (@stefanv) and Nathaniel Smith (@njsmith).

If you want to know more about the science behind the creation of these color maps, you can watch this presentation of viridis by their authors at SciPy 2015.