fix missing mean from agents example

JuliaDynamics · Jul 10, 2022 · 8aafcc7 · 8aafcc7
1 parent 415b3c2
commit 8aafcc7
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Showing 2 changed files with 5 additions and 4 deletions.
diff --git a/Project.toml b/Project.toml
@@ -1,7 +1,7 @@
 name = "InteractiveDynamics"
 uuid = "ec714cd0-5f51-11eb-0b6e-452e7367ff84"
 repo = "https://github.com/JuliaDynamics/InteractiveDynamics.jl.git"
-version = "0.21.8"
+version = "0.21.9"
 
 [deps]
 DataStructures = "864edb3b-99cc-5e75-8d2d-829cb0a9cfe8"

diff --git a/docs/src/agents.jl b/docs/src/agents.jl
@@ -84,12 +84,13 @@ fig
 
 # One can furthermore collect data while the model evolves and visualize them using the
 # convenience function [`abmexploration`](@ref)
+using Statistics: mean
 black(a) = a.breed == :black
 white(a) = a.breed == :white
 adata = [(black, count), (white, count)]
 temperature(model) = mean(model.temperature)
 mdata = [temperature, :solar_luminosity]
-fig, p = abmexploration(model;
+fig, abmobs = abmexploration(model;
     agent_step! = daisy_step!, model_step! = daisyworld_step!, params, plotkwargs...,
     adata, alabels = ["Black daisys", "White daisys"], mdata, mlabels = ["T", "L"]
 )
@@ -158,15 +159,15 @@ abmvideo(
 
 # create a basic abmplot with controls and sliders
 model, = daisyworld(; solar_luminosity = 1.0, solar_change = 0.0, scenario = :change)
-fig, ax, p = abmplot(model;
+fig, ax, abmobs = abmplot(model;
     agent_step! = daisy_step!, model_step! = daisyworld_step!, params, plotkwargs...,
     adata, mdata, figure = (; resolution = (1600,800))
 )
 fig
 
 #
 
-p
+abmobs
 
 #