Getting Started

If you don't need any customization, the easiest way to get started is to call pairplot with one or more tables or matrices.

using CairoMakie
using PairPlots

# The simplest table format is just a named tuple of vectors.
# You can also pass a DataFrame, or any other Tables.jl compatible object.
table = (;
    x = randn(10000),
    y = randn(10000),
)

pairplot(table)

The axis labels are taken from the column names by default, but you can customize them (see Guide).

If you're in a hurry, you can just pass a Matrix directly (or any subtype of AbstractMatrix).

using CairoMakie
using PairPlots

# As always in Julia, columns are treated as variables, and rows as samples.
mat = randn(10000,6)
pairplot(mat)

Multiple tables are also supported. They don't have to have the same column names.

using CairoMakie
using PairPlots

# The simplest table format is just a named tuple of vectors.
# You can also pass a DataFrame, or any other Tables.jl compatible object.
table1 = (;
    x = randn(10000),
    y = randn(10000),
)

table2 = (;
    x = 1 .+ randn(10000),
    y = 2 .+ randn(10000),
    z = randn(10000),
)

fig = pairplot(table1, table2)

You can save your pairplot like so:

save("myfigure.png", fig)

CairoMakie.Screen{IMAGE}

Other formats like .svg and .pdf are also supported by CairoMakie.