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hist ​

# Makie.hist — Function.
julia
hist(values)

Plot a histogram of values.

Plot type

The plot type alias for the hist function is Hist.

source


Examples ​

julia
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:

julia
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, or scale_to=:flip to flip the direction of the bars without changing their height.

julia
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 ​

julia
using CairoMakie
using 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

Attributes ​

bar_labels ​

Defaults to nothing

No docs available.

bins ​

Defaults to 15

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.

color ​

Defaults to @inherit patchcolor

Color can either be:

  • a vector of bins colors

  • a single color

  • :values, to color the bars with the values from the histogram

cycle ​

Defaults to [:color => :patchcolor]

No docs available.

direction ​

Defaults to :y

Set the direction of the bars.

fillto ​

Defaults to automatic

Defines where the bars start.

flip_labels_at ​

Defaults to Inf

No docs available.

gap ​

Defaults to 0

Gap between the bars (see barplot).

label_color ​

Defaults to @inherit textcolor

No docs available.

label_font ​

Defaults to @inherit font

No docs available.

label_formatter ​

Defaults to bar_label_formatter

No docs available.

label_offset ​

Defaults to 5

No docs available.

label_size ​

Defaults to 20

No docs available.

normalization ​

Defaults to :none

Allows to normalize the histogram. 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.

offset ​

Defaults to 0.0

Adds an offset to every value.

over_background_color ​

Defaults to automatic

No docs available.

over_bar_color ​

Defaults to automatic

No docs available.

scale_to ​

Defaults to nothing

Allows to scale all values to a certain height. This can also be set to :flip to flip the direction of histogram bars without scaling them to a common height.

strokecolor ​

Defaults to @inherit patchstrokecolor

No docs available.

strokewidth ​

Defaults to @inherit patchstrokewidth

No docs available.

weights ​

Defaults to automatic

Allows to statistically weight the observations.