added mirroring with github, and thus .yaml file

.github/workflows/documentation.yml

+name: Documentation
+
+on:
+  push:
+    branches:
+      - master
+    tags: '*'
+  pull_request:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v2
+      - uses: julia-actions/setup-julia@latest
+        with:
+          version: '1.4'
+      - name: Install dependencies
+        run: julia --project=docs/ -e 'using Pkg; Pkg.develop(PackageSpec(path=pwd())); Pkg.instantiate()'
+      - name: Build and deploy
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} # For authentication with GitHub Actions token
+        run: julia --project=docs/ docs/make.jl

docs/make.jl

@@ -19,4 +19,5 @@ makedocs(sitename="ABMEv.jl",
         # "contributing.md",
         ],)
 
-# deploydocs(repo= "gitlab.ethz.ch:bvictor/abmev.wiki.git",)
+deploydocs(repo = "github.com/vboussange/ABMEv.jl",
+            deps = Deps.pip("mkdocs", "python-markdown-math"),)

src/ABMEv_utils.jl

@@ -86,7 +86,11 @@ function interpolate_df(df,xlab,ylab,zlab)
     sort!(df,[ylab,xlab])
     xa = unique(df[xlab]); ya = unique(df[ylab])
     A = reshape(df[zlab],length(xa),length(ya))
-    return DiversityFunction(xa,ya,interpolate((xa,ya),A,Gridded(Linear())))
+    if length(xa) > 1 && length(ya) > 1
+        return DiversityFunction(xa,ya,interpolate((xa,ya),A,Gridded(Linear())))
+    else
+        return DiversityFunction(xa,ya,A)
+    end
 end
 
 import DataFrames.groupby