Attempt to add test coverage badge

README.md

@@ -1,10 +1,6 @@
 [![License: Apache 2.0](https://img.shields.io/badge/License-Apache-blue.svg)](https://github.com/COMODO-research/Comodo.jl/blob/main/LICENSE)
-[![example workflow](https://github.com/COMODO-research/Comodo.jl/actions/workflows/test.yml/badge.svg)](https://github.com/COMODO-research/Comodo.jl/blob/main/.github/workflows/test.yml) 
-[![Doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://comodo-research.github.io/Comodo.jl/dev/)
-[![cov](https://github.com/COMODO-research/Comodo.jl/badges/coverage.svg)](https://github.com/COMODO-research/Comodo.jl/actions)
-[![Join the chat at https://gitter.im/Comodo.jl](https://badges.gitter.im/Comodo.jl.svg)](https://app.gitter.im/#/room/#comodo:gitter.im?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
+[![example workflow](https://github.com/COMODO-research/Comodo.jl/actions/workflows/test.yml/badge.svg)](https://github.com/COMODO-research/Comodo.jl/blob/main/.github/workflows/test.yml) [![Doc](https://img.shields.io/badge/docs-dev-blue.svg)](https://comodo-research.github.io/Comodo.jl/dev/)  [![codecov](https://codecov.io/gh/Kevin-Mattheus-Moerman/COMODO/graph/badge.svg?token=QX8IPY6IP5)](https://codecov.io/gh/Kevin-Mattheus-Moerman/COMODO)  [![Join the chat at https://gitter.im/Comodo.jl](https://badges.gitter.im/Comodo.jl.svg)](https://app.gitter.im/#/room/#comodo:gitter.im?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge)
 ![](assets/img/COMODO.png)  
-[![Mastodon](https://img.shields.io/badge/-MASTODON-%232B90D9?style=for-the-badge&logo=mastodon&logoColor=white)](https://fosstodon.org/@kevinmoerman) 
 
 # About Comodo
 Comodo is a [Julia](https://julialang.org/) package **computational (bio)mechanics and computational design**, and offers functionality for geometry processing, meshing, finite element analysis, automated design, topology optimisation, and image-based modelling. 
@@ -13,7 +9,7 @@ Loosely Comodo could stand for **Com**putational **Mo**delling for **D**esign **
 
 Comodo.jl started out as a modern re-implementation in Julia of the MATLAB toolbox [GIBBON](https://github.com/gibbonCode/GIBBON). However, rather than literally porting each functional unit, it instead aims to follow a similar philosophy and cover similar but more advanced core functionaly.
 
-## Installation
+# Installation
 ```julia
 pkg> add https://github.com/COMODO-research/Comodo.jl
 ```
@@ -24,11 +20,15 @@ The `examples` folder contains examples on the use of Comodo's functionality.
 # Documentation 
 [Functional Documentation](https://comodo-research.github.io/Comodo.jl/dev/)
 
-# Combinding with finite element analysis
+# Combining with finite element analysis
 For finite element analysis users are encouraged to combine the Comodo capabilities with the open source C++ solver [FEBio](https://febio.org/), e.g. based on the Julia wrapper [FEBio.jl](https://github.com/febiosoftware/FEBio.jl). In addition, users may want to explore the Julia packages [Gridap.jl](https://github.com/gridap/Gridap.jl) and [Ferrite.jl](https://github.com/Ferrite-FEM/Ferrite.jl).
 
 # Testing 
-Under construction.
+You can test Comodo by running
+```julia
+pkg> test Comodo
+```
+The source for the tests is [`runtests.jl`, found in the `test` folder](https://github.com/COMODO-research/Comodo.jl/blob/main/test/runtests.jl)
 
 # Roadmap
 A detailed roadmap is under construction. 

examples/demo_trisurfslice.jl

@@ -47,6 +47,8 @@ Mn = GeometryBasics.Mesh(Vn,Fn)
 
 
 ## Visualization
+cmap = :Spectral
+
 s = 1.25*maximum([maximum(map(v-> v[i],V)) - minimum(map(v-> v[i],V)) for i ∈ 1:3])
 
 R = rotation_between(n,[0.0,0.0,1.0])
@@ -64,9 +66,9 @@ hSlider = Slider(fig[2, 1], range = stepRange, startvalue = 0,linewidth=30)
 
 # hp1 = mesh!(ax1,GeometryBasics.Mesh(V,F),color=:white, shading = FastShading, transparency=true)
 hp2 = wireframe!(ax1,MG, linewidth=5, color=:red)
-hp3 = poly!(ax1,Mn, color=CnV, strokewidth=1, strokecolor=:black, shading = FastShading, transparency=false, colorrange = (-2,2),colormap=:Spectral)
+hp3 = poly!(ax1,Mn, color=CnV, strokewidth=1, strokecolor=:black, shading = FastShading, transparency=false, colorrange = (-2.5,2.5),colormap=cmap,levels = [-2.5,-1,1,2.5])
 # hp3 = normalplot(ax1,Mn)
-hp4 = Colorbar(fig[1,2],hp3)
+hp4 = Colorbar(fig[1,2],hp3,ticks=[-2,-1,1,2])
 
 on(hSlider.value) do stepIndex 
     pp = p + stepIndex*n