MethodError: no method matching zero(::Type{Vector{Float64}}) on corrplot

[naccib]

trafficstars

Using Pluto.jl, and trying to corrplot a two DataFrame columns.

pyplot()
@df filtered_df corrplot([:AGE, :SEX])

Both :AGE and :SEX columns are Float64, no missing values. Using latest stable release of StatsPlots.jl, Plots.jl and Julia.

[GregorySech]

I'm getting this too, did you manage to find a solution?

Also I've just tried the README's example in the REPL and it throws the same error with the iris dataset.

[naccib]

Hello Gregory. I have not.

[sethaxen]

The vector of variable names should not be comma-separated. Note the example in the corrplot docstring:

  @df iris corrplot([:SepalLength :SepalWidth :PetalLength :PetalWidth])

Can you verify that @df filtered_df corrplot([:AGE :SEX]) works?

[GregorySech]

I've just tried and it works as you said @sethaxen. I missed the commas when re-writing the example.

Do you know if there is a reason why a Matrix{Symbol} is used as a parameter instead of a Vector{Symbol}?