I noticed that when there are a lot of (e.g. 10 million) observations, histogram produces a line plot instead of a bar plot: using Distributions, StatsPlots x = rand(Normal(), 1_000_000) histogram(x, bins = -5:0.2:5, label = "x") savefig("x.png") [x] y = rand(Normal(), 10_000_000) histogram(y, bi…

It does not look like it https://github.com/JuliaPlots/Plots.jl/blob/3459bcd81766f71ba6ff0d185bf9e32cc5425521/src/recipes.jl#L679 Maybe you can manually specify seriestype to be barhist instead of calling histogram?

Yes, calling plot(x, seriestype = :barhist) did it for me - thanks!

Exactly. It’s a bit of an overmagic compromise stemming from that me and @oschulz couldn’t agree on which of those two should be the default, coming from scientific fields with very different usual n.

Yes - I had originally proposed to use stephist as the default, because it works for few and very many bins, but bar-style histograms seemed to be too popular to not make them the default. But maybe this magic should depend on the number of bins, not the number of observations? @mkborregaard , what d…

I agree it’s better to bar it on the number of bins, but in the current implementation the series type is chosen before autobins are calculated

Histogram bars become line when many observations?

Specific Domains Visualization

oschulz December 27, 2019, 1:26pm 8

in the current implementation the series type is chosen before autobins are calculated

Ah, right, that was the reason!

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Histogram bars become line when many observations?

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