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Feature request: add kernel density estimation plots to the core PGFPlots functionality.
The following code chunk is an MWE that produces the included bimodal plot.
using Distributions
using KernelDensity
using PGFPlots
N = 100
X = 10*rand(N); X[N÷2:end] .+= 20
k = kde(X)
p = Axis(Plots.Linear(k.x, k.density, closedCycle=true),
ymin=0, style="area style, enlarge x limits=false")
The text was updated successfully, but these errors were encountered:
lkruse
changed the title
Add KDE to Base Functionality
Add KDE to base functionality
Aug 17, 2021
Feature request: add kernel density estimation plots to the core PGFPlots functionality.
The following code chunk is an MWE that produces the included bimodal plot.
The text was updated successfully, but these errors were encountered: