normalize histograms to PDF

Project.toml

@@ -34,6 +34,7 @@ julia = "1.5"
 [extras]
 StableRNGs = "860ef19b-820b-49d6-a774-d7a799459cd3"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
+Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
 
 [targets]
-test = ["StableRNGs", "Test"]
+test = ["StableRNGs", "Test", "Plots"]

src/PlotRecipes.jl

@@ -19,7 +19,7 @@ export plot_marginal_hist
     rows = Int(ceil(sqrt(n_plots)))
     cols = Int(floor(sqrt(n_plots)))
     tfs = 16
-    fs = 14
+    fs = 12
 
     # subplot attr
     legend := false
@@ -39,6 +39,7 @@ export plot_marginal_hist
         dim_in_batch = i - minimum(batches[batch_id]) + 1 # i.e. if i=5 in batch 3:6, this would be "3"
         @series begin
             seriestype := :histogram
+            normalize --> :pdf
             color := batch_id
             subplot := i
             title := pd.name[batch_id] * " (dim " * string(dim_in_batch) * ")"
@@ -56,7 +57,7 @@ end
 
     size_l = Int(ceil(sqrt(n_plots)))
     tfs = 16
-    fs = 14
+    fs = 12
 
     # subplot attr
     legend := false
@@ -73,6 +74,7 @@ end
     for i in 1:n_plots
         @series begin
             seriestype := :histogram
+            normalize --> :pdf
             subplot := i
             title := "dim " * string(i)
             samples[i, :]