3D Surface Plots in R
How to make interactive 3D surface plots in R.
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.
Basic 3D Surface Plot
library(plotly) # volcano is a numeric matrix that ships with R fig <- plot_ly(z = ~volcano) fig <- fig %>% add_surface() fig
Surface Plot With Contours
library(plotly) # volcano is a numeric matrix that ships with R fig <- plot_ly(z = ~volcano) %>% add_surface( contours = list( z = list( show=TRUE, usecolormap=TRUE, highlightcolor="#ff0000", project=list(z=TRUE) ) ) ) fig <- fig %>% layout( scene = list( camera=list( eye = list(x=1.87, y=0.88, z=-0.64) ) ) ) fig
2D Kernel Density Estimation
kd <- with(MASS::geyser, MASS::kde2d(duration, waiting, n = 50)) fig <- plot_ly(x = kd$x, y = kd$y, z = kd$z) %>% add_surface() fig
Configure Surface Contour Levels
This example shows how to slice the surface graph on the desired position for each of x, y and z axis. contours.x.start sets the starting contour level value,
end sets the end of it, and
size sets the step between each contour level.
x = c(1,2,3,4,5) y = c(1,2,3,4,5) z = rbind( c(0, 1, 0, 1, 0), c(1, 0, 1, 0, 1), c(0, 1, 0, 1, 0), c(1, 0, 1, 0, 1), c(0, 1, 0, 1, 0)) library(plotly) fig <- plot_ly( type = 'surface', contours = list( x = list(show = TRUE, start = 1.5, end = 2, size = 0.04, color = 'white'), z = list(show = TRUE, start = 0.5, end = 0.8, size = 0.05)), x = ~x, y = ~y, z = ~z) fig <- fig %>% layout( scene = list( xaxis = list(nticks = 20), zaxis = list(nticks = 4), camera = list(eye = list(x = 0, y = -1, z = 0.5)), aspectratio = list(x = .9, y = .8, z = 0.2))) fig
z <- c( c(8.83,8.89,8.81,8.87,8.9,8.87), c(8.89,8.94,8.85,8.94,8.96,8.92), c(8.84,8.9,8.82,8.92,8.93,8.91), c(8.79,8.85,8.79,8.9,8.94,8.92), c(8.79,8.88,8.81,8.9,8.95,8.92), c(8.8,8.82,8.78,8.91,8.94,8.92), c(8.75,8.78,8.77,8.91,8.95,8.92), c(8.8,8.8,8.77,8.91,8.95,8.94), c(8.74,8.81,8.76,8.93,8.98,8.99), c(8.89,8.99,8.92,9.1,9.13,9.11), c(8.97,8.97,8.91,9.09,9.11,9.11), c(9.04,9.08,9.05,9.25,9.28,9.27), c(9,9.01,9,9.2,9.23,9.2), c(8.99,8.99,8.98,9.18,9.2,9.19), c(8.93,8.97,8.97,9.18,9.2,9.18) ) dim(z) <- c(15,6) z2 <- z + 1 z3 <- z - 1 fig <- plot_ly(showscale = FALSE) fig <- fig %>% add_surface(z = ~z) fig <- fig %>% add_surface(z = ~z2, opacity = 0.98) fig <- fig %>% add_surface(z = ~z3, opacity = 0.98) fig
What About Dash?
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$layout( htmlDiv( list( dccGraph(figure=fig) ) ) ) app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE)