# Makie PairPlot
**URL:** https://discourse.julialang.org/t/makie-pairplot/39298
**Category:** Visualization
**Tags:** question, plotting, makie
**Created:** [May 11, 2020, 5:04pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298 "2020-05-11T17:04:22Z")
**Posts on this page:** 8
**Page:** 1
### Author:  [@Dustin\_Hess](https://discourse.julialang.org/u/Dustin_Hess)
#### Post date: [May 11, 2020, 5:04pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/1 "2020-05-11T17:04:22Z")
Hi all
I am trying to make a pairplot similar to what you get with the Seaborn library but with Makie. I am using MakieLayouts and StatsMakie. I am using the classic Iris data to test it before using it elsewhere. The problem is the data looks all stretched. I have tried using the options mentioned in the MakieLayout docs [here](https://jkrumbiegel.github.io/MakieLayout.jl/stable/laxis/#Controlling-data-aspect-ratios-1) but with no success. Would someone maybe take a look and see.
```julia
col_names = [:sepalLength, :sepalWidth, :petalLength, :petalWidth, :class]
df = readdlm("iris.csv", ',')|> DataFrame
rename!(df, col_names)
df[!, 1:4] = Float32.(df[!,1:4])
df[!, 5] = String.(df[!, 5])
function pairplot(df)
dim = size(df, 2)-1
scene, layout = layoutscene(30, resolution = (900, 900))
axs = layout[1:dim, 1:dim] = [LAxis(scene) for i in 1:dim^2]
x = 0
for i in 1:dim, j in 1:dim
if i == j
x+=1
plt = plot!(axs[x],Position.stack, histogram, Data(df), Group(:class), df[:, i])
else
x+=1
plt = Makie.scatter!(axs[x], Data(df), Group(:class), df[:,j], df[:,i])
end
end
scene
end
testPlot = pairplot(df)
```
Output is below
---
### Author:  [@jules](https://discourse.julialang.org/u/jules)
#### Post date: [May 12, 2020, 6:41am UTC](https://discourse.julialang.org/t/makie-pairplot/39298/2 "2020-05-12T06:41:06Z")
Hi! Glad to see some Makie use in the wild, and as a quick preface, it’s often faster to get answers in the Makie Slack or Zulip channels, because Discourse posts are not so visible for us. (I just saw this by chance)
Your actual question: Right now you have to do
```julia
using AbstractPlotting: px
scatter!(ax, data, markersize = 10px)
```
This workaround is still necessary because Makie started out with the assumption that scatter markers had a meaningful size in data coordinates. The px thing tells the backend to use screen space coordinates instead. We are working on clearing all of that up but in the meantime, that’s the fix 🙂
---
### Author:  [@Dustin\_Hess](https://discourse.julialang.org/u/Dustin_Hess)
#### Post date: [May 12, 2020, 1:03pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/3 "2020-05-12T13:03:22Z")
@jules Awesome! This works perfectly. Now that I have the data points scaling correctly I can clean up the axis, put in legend etc… I think now I can produce a professional quality graphic. I will post what my output is below and when I clean it up I will post the code so if anyone else wants to make a pair plot there will exist some reference. Also I didn’t look at the PR’s but it would be nice if corrplot would have some options so that it would produce graphs more like the Seaborne library that wold be great. I don’t think it would be too hard to do.
As a side note I have been using Plots for a while but Makie has always been something I come back to, to see the state of it. I like the fact that its well documented and it has more unified way doing things than Plots. Plots is nice I just find that there are too many back ends and you almost get what want when doing something complex, but never what you want. Anyway recently I have switched to Makie full time as the plots and animations are beautiful. Keep up the great work. Also don’t get me wrong about Plots it’s great, I just like the direction Makie is going better. Also I will join the slack channel.
---
### Author:  [@TheCedarPrince](https://discourse.julialang.org/u/TheCedarPrince)
#### Post date: [January 21, 2021, 9:14pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/4 "2021-01-21T21:14:56Z")
For future reference, in case anyone wants the full working code, here it is. I am on Julia v1.5:
```julia
using Makie
using StatsMakie
using DataFrames
using DelimitedFiles
using GLFW
using AbstractPlotting
using MakieLayout
col_names = [:sepalLength, :sepalWidth, :petalLength, :petalWidth, :class]
df = readdlm("iris.csv", ',')|> DataFrame
rename!(df, col_names)
df[!, 1:4] = Float32.(df[!,1:4])
df[!, 5] = String.(df[!, 5])
function pairplot(df)
dim = size(df, 2)-1
scene, layout = layoutscene(30, resolution = (900, 900))
axs = layout[1:dim, 1:dim] = [LAxis(scene) for i in 1:dim^2]
x = 0
for i in 1:dim, j in 1:dim
if i == j
x+=1
plt = plot!(axs[x],Position.stack, histogram, Data(df), Group(:class), df[:, i])
else
x+=1
plt = Makie.scatter!(axs[x], Data(df), Group(:class), df[:,j], df[:,i])
end
end
scene
end
testPlot = pairplot(df)
```
Also, you can download the data here: [https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d22642a06d3d5b9bcbad9890c8ee534/iris.csv](https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d22642a06d3d5b9bcbad9890c8ee534/iris.csv) - Just make sure to delete the first row of the CSV or it will fail.
Here are the package versions I had:
```julia
[537997a7] AbstractPlotting v0.10.11
[a93c6f00] DataFrames v0.20.2
[f7f18e0c] GLFW v3.4.0
[ee78f7c6] Makie v0.10.0
[5a521ce4] MakieLayout v0.9.10
[65254759] StatsMakie v0.2.3
```
Hopefully this helps future generations of Julians trying to make their own pairplot!
P.S. Thanks to @Dustin_Hess for providing the initial impetus for this!
---
### Author:  [@Kryohi](https://discourse.julialang.org/u/Kryohi)
#### Post date: [January 9, 2022, 4:13pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/5 "2022-01-09T16:13:32Z")
In case someone ends up here, I’m fairly sure the code posted so far does not work anymore with current Makie versions.
I wrote a function that gives a result very similar to the default seaborn pairplot with hue:
```julia
using DataFrames, CairoMakie
function pairplot(df; stride=1, colormap=:thermal, resolution=(1200,1200))
dim = size(df,2) # how many colums there are in the dataframe
idxs = 1:stride:size(df,1)
colorant = range(0, 1, length=length(idxs))
pp_theme = Attributes(
Axis = (
aspect = 1,
topspinevisible = false,
rightspinevisible = false,
),
Scatter = (
colormap = colormap, # try :thermal, :darkrainbow
markersize = 6
)
)
f = with_theme(pp_theme) do
f = Figure(resolution=resolution)
for i in 1:dim, j in 1:dim
ax = Axis(f[i, j])
scatter!(df[idxs,j], df[idxs,i], color = colorant)
if i==dim
ax.xticklabelsvisible = true
ax.xlabel = names(df)[j]
end
if j==1
ax.yticklabelsvisible = true
ax.ylabel = names(df)[i]
end
end
f
end
end
```
I have CairoMakie 0.6.4 and GLMakie 0.4.5 installed.
Example of the output:
---
### Author:  [@filchristou](https://discourse.julialang.org/u/filchristou)
#### Post date: [June 3, 2022, 2:45pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/6 "2022-06-03T14:45:46Z")
It’s also worth to mention the [AlgebraOfGraphics](https://github.com/JuliaPlots/AlgebraOfGraphics.jl) here, since it has Makie as backend.
There is some little discussion also here [cornerplot and corrplot · Issue #210 · MakieOrg/AlgebraOfGraphics.jl · GitHub](https://github.com/JuliaPlots/AlgebraOfGraphics.jl/issues/210).
I managed to get what I want (correlation + density plots) with the following code:
```julia
using CairoMakie, AlgebraOfGraphics
AoG = AlgebraOfGraphics
set_aog_theme!()
using RDatasets: dataset
iris = dataset("datasets", "iris")
let
props = filter(!=(:Species),propertynames(iris))[:,:]
fig = Figure()
plt = data(iris) * visual(Scatter, markersize=6) * mapping(props, permutedims(props), col=dims(1), row=dims(2), color = :Species)
ag = draw!(fig[1, 2:3], plt)
plts = [data(iris) * (mapping(prop, color = :Species)) * AoG.density() for prop in props]
[draw!(fig[1,1][i,1], plts[i]) for i in 1:length(props)]
legend!(fig[end+1, 2], ag, orientation=:horizontal, tellheight=true)
fig
end
```
---
### Author:  [@Eduardo\_Garbin](https://discourse.julialang.org/u/Eduardo_Garbin)
#### Post date: [June 8, 2022, 12:19pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/7 "2022-06-08T12:19:58Z")
Greate! Do you think about make it a package?
---
### Author:  [@sefffal](https://discourse.julialang.org/u/sefffal)
#### Post date: [October 16, 2023, 1:56pm UTC](https://discourse.julialang.org/t/makie-pairplot/39298/8 "2023-10-16T13:56:30Z")
For those arriving here from Google, I made a new version of the [PairPlots.jl](https://github.com/sefffal/PairPlots.jl) package to support Makie.