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stephist ​

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

Plot a step histogram of values.

Plot type

The plot type alias for the stephist function is StepHist.

source


Examples ​

julia
using GLMakie
data = randn(1000)

f = Figure()
stephist(f[1, 1], data, bins = 10)
stephist(f[1, 2], data, bins = 20, color = :red, linewidth = 3)
stephist(f[2, 1], data, bins = [-5, -2, -1, 0, 1, 2, 5], color = :gray)
stephist(f[2, 2], data, normalization = :pdf)
f

For more examples, see hist.

Attributes ​

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

No docs available.

cycle ​

Defaults to [:color => :patchcolor]

No docs available.

linestyle ​

Defaults to :solid

No docs available.

linewidth ​

Defaults to @inherit linewidth

No docs available.

normalization ​

Defaults to :none

Allows to apply a normalization to 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.

scale_to ​

Defaults to nothing

Allows to scale all values to a certain height.

weights ​

Defaults to automatic

Allows to provide statistical weights.