the grain boundary segments, in one colour or coloured segment by segment

Syntax

plot(grains.boundary)

All boundaries in black.

plot(grains.innerBoundary, lineColor='r', lineWidth=2)

The subgrain boundaries in red.

plot(gB, gB.misorientation.angle() / degree, colorbar=True)

By misorientation angle.

plot(gB, rgb)

By an RGB colour per segment, n x 3.

plot(gB, edgeAlpha=a)

A transparency per segment.

plot(gB, lineWidth=4, smooth=True)

The chains with rounded joins.

Description

Without values the boundary is drawn as joined chains in one colour; a value per segment colours it through a colour map, an RGB triple per segment directly, both segment by segment with round caps, so that a staircase reads as one line. A boundary draws no phase legend. MATLAB’s edgeColor is a synonym of lineColor here too. smooth=True rounds the joins and the ends of the lines, which shows on thick ones.

region=(xmin, xmax, ymin, ymax) shows a part of the map, title= names the axes, coordinates=True labels the axes with the map coordinates, how2plot= a plottingConvention other than the map’s, parent= the axes to draw into and figSize= the size of a new figure; every other keyword goes to the matplotlib artist.

Input

gB grainBoundary
color an array of a value or of an RGB colour per segment

Keywords

keyword default description
lineColor 'k' the colour of the boundary without values
lineWidth 1.0 the width of the lines
colormap 'viridis' the colour map of values
colorRange None (lo, hi), the values the colour map spans
colorbar False add a colour bar for values
edgeAlpha 1.0 the opacity, one for all or one per segment between 0 and 1
micronbar None draw the scale bar; by default the preference showMicronBar
refFrame True draw the axes of the specimen frame in the scale bar box
displayName None the name in a legend
smooth False draw the chains with round joins and ends

Output

h the matplotlib line or line collection

See also

BoundaryPlots, grain2d.plot, EBSD.plot, triplePointList.plot

MATLAB’s grainBoundary.plot

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/grainBoundary.plot_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.