雨滴
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<无翻译>*麦琪雨滴*-Function
rainclouds!(ax, category_labels, data_array; plot_boxplots=true, plot_clouds=true, kwargs...)绘制小提琴（/直方图），箱线图和单个数据点，每个数据点之间有适当的间距。
论点
-
斧头,斧头：轴用来放置所有这些图。 -
分类_标签：典型向量{String}每个元素都有一个标签数据阵列 -
数据阵列：典型向量{Float64}用于表示要绘制的数据点。
关键字
绘图类型
绘图类型别名 雨滴 功能是 雨滴.
using CairoMakie
using Random
using Makie: rand_localized
####
#### Below is used for testing the plotting functionality.
####
function mockup_distribution(N)
all_possible_labels = ["Single Mode", "Double Mode", "Random Exp", "Uniform"]
category_type = rand(all_possible_labels)
if category_type == "Single Mode"
random_mean = rand_localized(0, 8)
random_spread_coef = rand_localized(0.3, 1)
data_points = random_spread_coef*randn(N) .+ random_mean
elseif category_type == "Double Mode"
random_mean = rand_localized(0, 8)
random_spread_coef = rand_localized(0.3, 1)
data_points = random_spread_coef*randn(Int(round(N/2.0))) .+ random_mean
random_mean = rand_localized(0, 8)
random_spread_coef = rand_localized(0.3, 1)
data_points = vcat(data_points, random_spread_coef*randn(Int(round(N/2.0))) .+ random_mean)
elseif category_type == "Random Exp"
data_points = randexp(N)
elseif category_type == "Uniform"
min = rand_localized(0, 4)
max = min + rand_localized(0.5, 4)
data_points = [rand_localized(min, max) for _ in 1:N]
else
error("Unidentified category.")
end
return data_points
end
function mockup_categories_and_data_array(num_categories; N = 500)
category_labels = String[]
data_array = Float64[]
for category_label in string.(('A':'Z')[1:min(num_categories, end)])
data_points = mockup_distribution(N)
append!(category_labels, fill(category_label, N))
append!(data_array, data_points)
end
return category_labels, data_array
end
category_labels, data_array = mockup_categories_and_data_array(3)
colors = Makie.wong_colors()
rainclouds(category_labels, data_array;
axis = (; xlabel = "Categories of Distributions", ylabel = "Samples", title = "My Title"),
plot_boxplots = false, cloud_width=0.5, clouds=hist, hist_bins=50,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds(category_labels, data_array;
axis = (; ylabel = "Categories of Distributions",
xlabel = "Samples", title = "My Title"),
orientation = :horizontal,
plot_boxplots = true, cloud_width=0.5, clouds=hist,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds(category_labels, data_array;
axis = (;
xlabel = "Categories of Distributions",
ylabel = "Samples",
title = "My Title"
),
plot_boxplots = true, cloud_width=0.5, clouds=hist,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds(category_labels, data_array;
axis = (;
xlabel = "Categories of Distributions",
ylabel = "Samples",
title = "My Title"
),
plot_boxplots = true, cloud_width=0.5, side = :right,
violin_limits = extrema, color = colors[indexin(category_labels, unique(category_labels))])
rainclouds(category_labels, data_array;
axis = (;
xlabel = "Categories of Distributions",
ylabel = "Samples",
title = "My Title",
),
plot_boxplots = true, cloud_width=0.5, side = :right,
color = colors[indexin(category_labels, unique(category_labels))])
more_category_labels, more_data_array = mockup_categories_and_data_array(6)
rainclouds(more_category_labels, more_data_array;
axis = (;
xlabel = "Categories of Distributions",
ylabel = "Samples",
title = "My Title",
),
plot_boxplots = true, cloud_width=0.5,
color = colors[indexin(more_category_labels, unique(more_category_labels))])
category_labels, data_array = mockup_categories_and_data_array(6)
rainclouds(category_labels, data_array;
axis = (;
xlabel = "Categories of Distributions",
ylabel = "Samples",
title = "My Title",
),
plot_boxplots = true, cloud_width=0.5,
color = colors[indexin(category_labels, unique(category_labels))])
fig = Figure(size = (800*2, 600*5))
colors = [Makie.wong_colors(); Makie.wong_colors()]
category_labels, data_array = mockup_categories_and_data_array(3)
rainclouds!(
Axis(fig[1, 1], title = "Left Side, with Box Plot"),
category_labels, data_array;
side = :left,
plot_boxplots = true,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds!(
Axis(fig[2, 1], title = "Left Side, without Box Plot"),
category_labels, data_array;
side = :left,
plot_boxplots = false,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds!(
Axis(fig[1, 2], title = "Right Side, with Box Plot"),
category_labels, data_array;
side = :right,
plot_boxplots = true,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds!(
Axis(fig[2, 2], title = "Right Side, without Box Plot"),
category_labels, data_array;
side = :right,
plot_boxplots = false,
color = colors[indexin(category_labels, unique(category_labels))])
# Plots with more categories
# dist_between_categories (0.6, 1.0)
# with and without clouds
category_labels, data_array = mockup_categories_and_data_array(12)
rainclouds!(
Axis(fig[3, 1:2], title = "More categories. Default spacing."),
category_labels, data_array;
plot_boxplots = true,
gap = 1.0,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds!(
Axis(fig[4, 1:2], title = "More categories. Adjust space. (smaller cloud widths and smaller category distances)"),
category_labels, data_array;
plot_boxplots = true,
cloud_width = 0.3,
gap = 0.5,
color = colors[indexin(category_labels, unique(category_labels))])
rainclouds!(
Axis(fig[5, 1:2], title = "More categories. Adjust space. No clouds."),
category_labels, data_array;
plot_boxplots = true,
clouds = nothing,
gap = 0.5,
color = colors[indexin(category_labels, unique(category_labels))])
supertitle = Label(fig[0, :], "Cloud Plot Testing (Scatter, Violin, Boxplot)", fontsize=30)
fig