Examples

hist

hist(values; bins = 15, normalization = :none)

Plot a histogram of values. bins can be an Int to create that number of equal-width bins over the range of values. Alternatively, it can be a sorted iterable of bin edges. The histogram can be normalized by setting normalization. Possible values are:

:pdf: Normalize by sum of weights and bin sizes. Resulting histogram has norm 1 and represents a PDF.
:density: Normalize by bin sizes only. Resulting histogram represents count density of input and does not have norm 1. Will not modify the histogram if it already represents a density (h.isdensity == 1).
:probability: Normalize by sum of weights only. Resulting histogram represents the fraction of probability mass for each bin and does not have norm 1.
:none: Do not normalize.

Statistical weights can be provided via the weights keyword argument.

The following attributes can move the histogram around, which comes in handy when placing multiple histograms into one plot:

offset = 0.0: adds an offset to every value
fillto = 0.0: defines where the bar starts
scale_to = nothing: allows to scale all values to a certain height
flip = false: flips all values

Color can either be:

a vector of bins colors
a single color
:values, to color the bars with the values from the histogram

Attributes

Available attributes and their defaults for Combined{Makie.hist} are:

  bar_labels             "nothing"
  bins                   15
  color                  RGBA{Float32}(0.0f0,0.0f0,0.0f0,0.6f0)
  cycle                  [:color => :patchcolor]
  fillto                 MakieCore.Automatic()
  flip_labels_at         Inf
  label_color            :black
  label_font             :regular
  label_formatter        Makie.bar_label_formatter
  label_offset           5
  label_size             20
  normalization          :none
  offset                 0.0
  over_background_color  MakieCore.Automatic()
  over_bar_color         MakieCore.Automatic()
  scale_to               "nothing"
  weights                MakieCore.Automatic()

Examples

using GLMakie


data = randn(1000)

f = Figure()
hist(f[1, 1], data, bins = 10)
hist(f[1, 2], data, bins = 20, color = :red, strokewidth = 1, strokecolor = :black)
hist(f[2, 1], data, bins = [-5, -2, -1, 0, 1, 2, 5], color = :gray)
hist(f[2, 2], data, normalization = :pdf)
f

Histogram with labels

You can use all the same arguments as barplot:

using CairoMakie

data = randn(1000)

hist(data, normalization = :pdf, bar_labels = :values,
     label_formatter=x-> round(x, digits=2), label_size = 15,
     strokewidth = 0.5, strokecolor = (:black, 0.5), color = :values)

Moving histograms

With scale_to, and offset, one can put multiple histograms into the same plot. Note, that offset automatically sets fillto, to move the whole barplot. Also, one can use a negative scale_to amount to flip the histogram.

using CairoMakie

fig = Figure()
ax = Axis(fig[1, 1])
for i in 1:5
     hist!(ax, randn(1000), scale_to=-0.6, offset=i, direction=:x)
end
fig

Using statistical weights

using CairoMakie, Distributions


N = 100_000
x = rand(Uniform(-5, 5), N)

w = pdf.(Normal(), x)

fig = Figure()
hist(fig[1,1], x)
hist(fig[1,2], x, weights = w)

fig

These docs were autogenerated using Makie: v0.19.12, GLMakie: v0.8.12, CairoMakie: v0.10.12, WGLMakie: v0.8.16