Corrplot histograms are black

[OctarineSourcerer]

When running the documentation's example code:

M = randn(1000,4)
M[:,2] += 0.8sqrt(abs(M[:,1])) - 0.5M[:,3] + 5
M[:,3] -= 0.7M[:,1].^2 + 2

corrplot(M, label = ["x$i" for i=1:4])

I get a corrplot with only black for the histograms (including the heatmaps), which pretty much removes the use of heatmaps

It certainly doesn't match up with the screenshot in the docs.

I have no idea how to work around this - any help in the meantime with that would be very much appreciated.

[mkborregaard]

Could be something with the clims- can you try to adjust those manually?

[OctarineSourcerer]

Sorry for such a late reply! Calling corrplot(M, label = ["x$i" for i=1:4], clims=(-10,10)) seems to have the same result, and so does calling corrplot(M, label = ["x$i" for i=1:4], c=:thermal)

[lssimoes]

Same for me (using pyplot())

Julia Version 1.5.2
Commit 539f3ce943
[f3b207a7] StatsPlots v0.14.5

[OctarineSourcerer]

As an update, I've found this can be worked around by adding fillcolor=cgrad() to the corrplot, for example:

M = randn(1000,4)
M[:,2] .+= 0.8sqrt.(abs.(M[:,1])) .- 0.5M[:,3] .+ 5
M[:,3] .-= 0.7M[:,1].^2 .+ 2
corrplot(M, label = ["x$i" for i=1:4], fillcolor=cgrad())

I assume you could pass in another gradient and have it be fine.

The relevant line in corrplot.jl looks like this: fillcolor --> Plots.fg_color(plotattributes), but I'm not familiar enough with the library to know why that might have gone awry.

[diegozea]

I am seeing the same problem with StatsPlots 0.14.30; the fillcolor=cgrad() is doing the trick. However, the doc tells that seriescolor is controlling the colors of the bi-dimensional histograms.