In python matplotlib, the hist() returns an array containing the bin heights of the histogram. How can I do this in julia? as far as i know, the corresponding histogram() function doesn’t return anything. What is the quickest way to get the bin heights of a normalised histogram?

Hi there!

I would recommend the StatsBase.jl package:

https://juliastats.org/StatsBase.jl/stable/empirical/

```
julia> using StatsBase, LinearAlgebra
julia> bins = [0,1,7]; # a small and a large bin
julia> obs = [0.5, 1.5, 1.5, 2.5]; # one observation in the small bin and three in the large
julia> h = fit(Histogram, obs, bins)
Histogram{Int64,1,Tuple{Array{Int64,1}}}
edges:
[0, 1, 7]
weights: [1, 3]
closed: left
isdensity: false
julia> # observe isdensity = false and the weights field records the number of observations in each bin
julia> normalize(h, mode=:density)
```

`normalize`

returns a new, normalized histogram objectz

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