Contour plot of boolean data using PlotlyJS in julia

Without knowing your scenario, it would seem that a heatmap is likely to be a better format than a contour. I say this because your question is implicitly treating data points as data bins. You are asking if there is a way to contour the bins in which points lie. While not composed of contour lines, a heatmap may be clearest way to communicate that you are dealing with bins and not lines. Below is a simple implementation.

using PlotlyJS

z = [true true true 
    true false true 
    true true true]

plt = PlotlyJS.heatmap(
    x = range(1,size(z)[1]),
    y = range(1,size(z)[2]),
    z = Int.(.!z),
    colorsca
)
PlotlyJS.plot(plt)

But, assuming is not commonly the best approach, so here is a way to create this type of contour plot. To do this, we need to make a mapping of points to bins. For example, anything where 0.5<x<1.5 and 0.5<y<1.5 need to fetch the value of z[1,1]. Then, we can make a contour plot, and (with enough datapoints), the contour will follow around cells.

In the following, I used Plots.jl, but

using PlotlyJS

zRef = [true true true 
    true false true 
    true true true]

# creating our mapping function
function fetchReferenceVal(ref::Matrix, xs::Vector{<:Real},ys::Vector{<:Real})
    # initializing an empty output
    # depending on your scenario, the filling value may need to be changed.
    out = fill(1,length(xs),length(ys))
    
    # are x and y going to lie in our matrix?
    for (i,x) in enumerate(xs)
        !(x >=1 && x <= size(ref)[1]) && continue
        for (j,y) in enumerate(ys)
            !(y >= 1 && y<= size(ref)[2]) && continue

            # ... Fetch associated value
            out[i,j] = Int(ref[Int(round(x)),Int(round(y))])
        end
    end
    return out
end

x = [i for i in 0:.01:4]
y = [i for i in 0:.01:4]
z = fetchReferenceVal(zRef, x, y)

plt = PlotlyJS.contour(
    x = x,
    y = y,
    z = z,
    contours_coloring = "lines",
    contours_start = 0,
    contours_end = 1,
    contours_size = 1,
    colorscale = [[0, "black"], [1, "black"]],
    line_smoothing = 0,
    line_width = 3,
    zmin = 0,
    zmax = 1,
    showscale = false,
)
PlotlyJS.plot(plt)