# 3D Surface Plots in R

How to make interactive 3D surface plots in R.

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# Basic 3D Surface Plot

library(plotly)
# volcano is a numeric matrix that ships with R
fig <- plot_ly(z = ~volcano)

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  ### Multiple Surfaces 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? 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$layout( htmlDiv( list( dccGraph(figure=fig) ) ) ) app$run_server(debug=TRUE, dev_tools_hot_reload=FALSE) 