n colours of vega’s twenty categorical ones, repeated beyond twenty, an n x 3 array; MATLAB’s vega20

Syntax

map = vega20()

As many as the current colour map has.

map = vega20(5)

The first five.

Description

The colours of matplotlib 2.0 for categorical data, matplotlib’s tab20, in MATLAB’s order: the ten dark shades first, then the ten light ones.

Keywords

keyword default description
n None the number of colours; by default that of the colour map of the current MTEX figure, else of the preference defaultColorMap

Output

map an n x 3 array of rgb values in [0, 1]

See also

ind2color

Used on

SchmidFactor

source

Citing this page. This page is part of the documentation of MTEX, a free and open source MATLAB toolbox for analyzing and modeling crystallographic textures. It was written by The MTEX Developers and is published at https://mtex-toolbox.github.io/vega20_py.html. If you use MTEX, or reuse text or figures from this page, in your research, please cite

F. Bachmann, R. Hielscher, H. Schaeben: Texture Analysis with MTEX - Free and Open Source Software Toolbox, Solid State Phenomena 160 (2010), 63-68. 10.4028/www.scientific.net/SSP.160.63

BibTeX 
@article{bachmann2010mtex,
  author  = {F. Bachmann and R. Hielscher and H. Schaeben},
  title   = {Texture Analysis with MTEX - Free and Open Source Software Toolbox},
  journal = {Solid State Phenomena},
  volume  = {160},
  pages   = {63-68},
  year    = {2010},
  doi     = {10.4028/www.scientific.net/SSP.160.63},
  url     = {https://doi.org/10.4028/www.scientific.net/SSP.160.63}
}

Other papers describing specific MTEX methods are listed under Publications — please cite the one that best fits your application. The MTEX source code is licensed under the GNU General Public License v2.0; the text and figures of this documentation are licensed under CC BY 4.0, which permits reuse — including by automated systems — provided The MTEX Developers and this page are credited.