I have a very simple task: I have a list of CAN bus addresses like this:
1236454-element Vector{Union{Missing, Int64}}:
65
65
48
48
49
49
50
50
⋮
57
65
58
58
65
59
59
Because all numbers are below 128 their can be max 128 different elements, in reality less.
I would like to know:
a. which value appears how often
b. perhaps a histogram
I could write that from the scratch, but I guess some library functions might help.
Any suggestions?
Thanks. That is working nicely!
Only question that remains is how to plot the resulting dictionary as histogram…
Check out StatsPlots.jl
julia> cm = countmap(rand(1:5, 100))
Dict{Int64, Int64} with 5 entries:
5 => 29
4 => 17
2 => 20
3 => 14
1 => 20
julia> histogram(cm)
EDIT: I just realized it plots the “transpose” of what you probably want
Just calling Plots.histogram
also works
histogram(rand(1:5, 100))
Not yet working for me, I guess because the type of the vector is
Vector{Union{Missing, Int64}}
EDIT:
This code works:
a = collect(skipmissing((ds.NodeID)))
Plots.histogram(a)
2 Likes
Yes. There is an issue here tracking things.