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Permit color and legend customization #292

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merged 3 commits into from Dec 13, 2020

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dschwen
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@dschwen dschwen commented Dec 11, 2020

Closes #291

@dschwen
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dschwen commented Dec 12, 2020

Ok, I see, I need to import phase_legend. Is that the best design I can do, repeatedly specifying the same default value at all levels?

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codecov bot commented Dec 12, 2020

Codecov Report

Merging #292 (0175a9e) into develop (8ed33ba) will increase coverage by 0.04%.
The diff coverage is 71.42%.

Impacted file tree graph

@@             Coverage Diff             @@
##           develop     #292      +/-   ##
===========================================
+ Coverage    86.73%   86.77%   +0.04%     
===========================================
  Files           46       46              
  Lines         4462     4461       -1     
===========================================
+ Hits          3870     3871       +1     
+ Misses         592      590       -2     
Impacted Files Coverage Δ
pycalphad/plot/binary/plot.py 21.21% <50.00%> (+2.46%) ⬆️
pycalphad/plot/eqplot.py 69.89% <50.00%> (+1.47%) ⬆️
pycalphad/plot/binary/zpf_boundary_sets.py 87.25% <100.00%> (ø)

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@dschwen
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dschwen commented Dec 12, 2020

Looks to me that the failed code coverage test complains about lines that weren't tested before either. :-/

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Thanks @dschwen! These changes go a long way in allowing users to customize the look and feel of their phase diagrams. I made a few smalls changes to the docstrings to better match how matplotlib describes their colors API (e.g. you could use this to provide any valid MPL color as a tieline_color, not just RGBA values) and I made the tieline_color arguments immutable tuples instead of mutable lists.

I'm not worried about the codecov/patch check failing. Our test suite just has some small integration tests over the plotting API, since it's more difficult to test the correctness of the graphics produced.

@bocklund bocklund merged commit d217b4b into pycalphad:develop Dec 13, 2020
@bocklund bocklund added this to the 0.8.5 milestone Jan 7, 2021
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Enable color and legend customization in eqplot
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