Black Lives Matter. Please consider donating to Black Girls Code today.

# Carpet Plot in R

How to create carpet plots in R with Plotly.

Building AI apps or dashboards in R? Deploy them to Dash Enterprise for hyper-scalability and pixel-perfect aesthetic.
10% of the Fortune 500 uses Dash Enterprise to productionize AI & data science apps. Find out if your company is using Dash Enterprise

New to Plotly?

Plotly is a free and open-source graphing library for R. We recommend you read our Getting Started guide for the latest installation or upgrade instructions, then move on to our Plotly Fundamentals tutorials or dive straight in to some Basic Charts tutorials.

### Set the Coordinates

To set the x and y coordinates use x and y attributes. If x coorindate values are ommitted a cheater plot will be created.

library(plotly)

fig <- plot_ly(
type = 'carpet',
y = c(2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10))


To save parameter values use a and b attributes.

library(plotly)

fig <- plot_ly(
type = 'carpet',
a = c(4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6),
b = c(1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3),
y = c(2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10))

fig


Use aaxis or baxis lists to make changes to the axes. For a more detailed list of attributes refer to R reference.

library(plotly)

fig <- plot_ly(
type = 'carpet',
a = c(4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6),
b = c(1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3),
y = c(2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10),
aaxis = list(
tickprefix = 'a = ',
ticksuffix = 'm',
smoothing = 1,
minorgridcount = 9
),
baxis = list(
tickprefix = 'b = ',
ticksuffix = 'Pa',
smoothing = 1,
minorgridcount = 9
)
)

fig


### Style Carpet Axes

library(plotly)

fig <- plot_ly(
type = 'carpet',
a = c(4, 4, 4, 4.5, 4.5, 4.5, 5, 5, 5, 6, 6, 6),
b = c(1, 2, 3, 1, 2, 3, 1, 2, 3, 1, 2, 3),
y = c(2, 3.5, 4, 3, 4.5, 5, 5.5, 6.5, 7.5, 8, 8.5, 10),
aaxis = list(
tickprefix = 'a = ',
ticksuffix = 'm',
smoothing = 1,
minorgridcount = 9,
minorgridwidth = 0.6,
minorgridcolor = 'white',
gridcolor = 'white',
color = 'white'
),
baxis = list(
tickprefix = 'b = ',
ticksuffix = 'Pa',
smoothing = 1,
minorgridcount = 9,
minorgridwidth = 0.6,
gridcolor = 'white',
minorgridcolor = 'white',
color = 'white'
)
)
fig <- fig %>% layout(
plot_bgcolor = 'black', paper_bgcolor = 'black',
xaxis = list(showgrid = F, showticklabels = F),
yaxis = list(showgrid = F, showticklabels = F)
)

fig


To add points and lines to see Carpet Scatter Plots or to add contours see Carpet Contour Plots

### Reference

Dash for R is an open-source framework for building analytical applications, with no Javascript required, and it is tightly integrated with the Plotly graphing library.

Learn about how to install Dash for R at https://dashr.plot.ly/installation.

Everywhere in this page that you see fig, you can display the same figure in a Dash for R application by passing it to the figure argument of the Graph component from the built-in dashCoreComponents package like this:

library(plotly)

fig <- plot_ly()
# fig <- fig %>% add_trace( ... )
# fig <- fig %>% layout( ... )

library(dash)
library(dashCoreComponents)
library(dashHtmlComponents)

app <- Dash$new() app$layout(
htmlDiv(
list(
dccGraph(figure=fig)
)
)
) 