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A Python package to visualize and analyze microstructures.

Project description

A package to visualize and analyze digitized 2D microstructures.

Documentation is in progress, but you can see PolyLX in action in accompanied Jupyter notebook


0.1 (13 Feb 2015)

  • First release

0.2 (18 Apr 2015)

  • Smooth and simplify methods for Grains implemented

  • Initial documentation added

  • phase and type properties renamed to name

0.3 (22 Feb 2016)

0.3.1 (22 Feb 2016)

  • classification is persitant trough fancy indexing

  • empty classes allowed

  • bootstrap method added to PolySet

0.3.2 (04 Jun 2016)

  • PolyShape name forced to be string

  • Creation of boundaries is Grains method

0.4 (20 Jun 2016)

  • Sample neighbors_dist method to calculate neighbors distances

  • Grains and Boundaries nndist to calculate nearest neighbors distances

  • Fancy indexing with slices fixed

  • Affine transformations affine_transform, rotate, scale, skew, translate methods implemented for Grains and Boundaries

  • Sample name atribute added

  • Sample bids method to get boundary id’s related to grain added

0.4.1 (20 Jun 2016)

  • Examples added to distribution

0.4.2 (02 Sep 2016)

  • Sample has pairs property(dictionary) to map boundary id to grains id

  • Sample triplets method returns list of grains id creating triple points

0.4.3 (02 Sep 2016)

  • IPython added to requirements

0.4.4 (12 Jan 2017)

  • Added MAEE (minimum area enclosing ellipse) to grain shape methods

  • Removed embedded IPython and IPython requirements

0.4.5 (12 Jan 2017)

  • shell script ipolylx opens interactive console

0.4.6 (04 Mar 2017)

  • added plots module (initial)

  • representative_point for Grains implemented

  • moments calculation including holes

  • surfor and parror functions added

  • orientation of polygons is unified and checked

  • minbox shape method added

0.4.8 (04 Mar 2017)

  • bugfix

0.4.9 (XX YYY 2017)

  • getindex method of Grains and Boundaries implemented

  • Grain cdist property return centroid-vertex distance function

  • Grain cdir property return centroid-vertex direction function

  • Grain shape_vector property returns normalized Fourier descriptors

  • Grain regularize method returns Grain with regularly distributed vertices

  • Classification could be based on properties or any other values

  • boundary_segments method added

  • Smoothing, simplification and regularization of boundaries implemented

  • Colortable for legend is persistant trough indexing. Classify method could be used to change it

  • Default color table is rainbow for unique and viridis for continuous classes

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