using IndividualDisplacements, Statistics import IndividualDisplacements.OrdinaryDiffEq: solve, Tsit5 import IndividualDisplacements.DataFrames: DataFrame p=dirname(pathof(IndividualDisplacements)) include(joinpath(p,"../examples/more/example123.jl")); 𝑃,Γ=example2_setup() ii1=5:5:40; ii2=5:5:25 x=vec([x-0.5 for x in ii1, y in ii2]) y=vec([y-0.5 for x in ii1, y in ii2]) xy = permutedims([[x[i];y[i];1.0] for i in eachindex(x)]) solv(prob) = IndividualDisplacements.ensemble_solver(prob,solver=Tsit5(),reltol=1e-6,abstol=1e-6) tr = DataFrame(ID=Int[], x=Float64[], y=Float64[], t=Float64[]) #𝐼 = Individuals{Float64,2}(📌=xy[:,:], 🔴=tr, 🆔=collect(1:size(xy,2)), I=(position=xy,record=deepcopy(tr),velocity=dxdt!, integration=solv,postprocessing=postprocess_xy,parameters=𝑃) 𝐼=Individuals(I) 𝑇 = (0.0,2998*3600.0) ∫!(𝐼,𝑇) #IndividualDisplacements.flt_example_download() #df=read_flt(IndividualDisplacements.flt_example_path,Float32) #ref=plot_paths(df,size(xy,2),100000.0)