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height: 200px; position: fixed; bottom: 10px; left: 50px" alt="Sign up to Dash Club to get two free cheat sheets as well as tips and tricks, community apps, and deep dives delivered every two months"> </a> </aside>  <section class="--page-body --tutorial-index --base"> <header class="--welcome"> <div class="--welcome-body">  <div class="--title"> <div class="--body"> <div class="nav-breadcrumb-container"> <div> <div class="breadcrumb-nav"> <a href="/r"> R </a> > <a href="/r/3d-charts">3D Charts</a> > 3D Surface Plots </div> </div> <div class="nav-breadcrumb-right"> <div class="--fork"> <a id="forklink" href= "https://github.com/plotly/plotly.r-docs/edit/master/r/2015-07-30-3d-surface-plots.Rmd" > <div class="icon"> <svg style="width:20px;height:20px" viewbox="0 0 24 24"> <path fill="#000000" d="M2.6,10.59L8.38,4.8L10.07,6.5C9.83,7.35 10.22,8.28 11,8.73V14.27C10.4,14.61 10,15.26 10,16A2,2 0 0,0 12,18A2,2 0 0,0 14,16C14,15.26 13.6,14.61 13,14.27V9.41L15.07,11.5C15,11.65 15,11.82 15,12A2,2 0 0,0 17,14A2,2 0 0,0 19,12A2,2 0 0,0 17,10C16.82,10 16.65,10 16.5,10.07L13.93,7.5C14.19,6.57 13.71,5.55 12.78,5.16C12.35,5 11.9,4.96 11.5,5.07L9.8,3.38L10.59,2.6C11.37,1.81 12.63,1.81 13.41,2.6L21.4,10.59C22.19,11.37 22.19,12.63 21.4,13.41L13.41,21.4C12.63,22.19 11.37,22.19 10.59,21.4L2.6,13.41C1.81,12.63 1.81,11.37 2.6,10.59Z"> </path> </svg> </div> Suggest an edit to this page </a> </div> </div> </div> <h1> 3D Surface Plots in R </h1> How to make interactive 3D surface plots in R.  <details> <summary>New to Plotly?</summary> Plotly is a <a href="/r/is-plotly-free/">free and open-source</a> graphing library for R. We recommend you read our <a href="/r/getting-started/">Getting Started guide</a> for the latest installation or upgrade instructions, then move on to our <a href="/r/plotly-fundamentals/">Plotly Fundamentals tutorials</a> or dive straight in to some <a href="/r/basic-charts/">Basic Charts tutorials</a>. </details> </div> </div> </div> </header>  <section class="tutorial-content"> <h1>Basic 3D Surface Plot</h1> <div class="highlight"><pre><code class="language-r" data-lang="r">library(plotly) # volcano is a numeric matrix that ships with R fig <- plot_ly(z = ~volcano) fig <- fig %>% add_surface() fig </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-fe34e57a06184f21e3ed" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-fe34e57a06184f21e3ed">{"x":{"visdat":{"14bd3c142bd6":["function () 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<h1>Surface Plot With Contours</h1> <div class="highlight"><pre><code class="language-r" data-lang="r">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 </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-90d90332e808c8c10d14" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-90d90332e808c8c10d14">{"x":{"visdat":{"14bd470763f0":["function () 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<h3>2D Kernel Density Estimation</h3> <div class="highlight"><pre><code class="language-r" data-lang="r">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 </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-edbc6bf09eebfd85cfce" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-edbc6bf09eebfd85cfce">{"x":{"visdat":{"14bd73bb546c":["function () 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<h4>Configure Surface Contour Levels</h4> This example shows how to slice the surface graph on the desired position for each of x, y and z axis. <a href="https://plotly.com/r/reference/#surface-contours-x-start">contours.x.start</a> sets the starting contour level value, <code>end</code> sets the end of it, and <code>size</code> sets the step between each contour level. <div class="highlight"><pre><code class="language-r" data-lang="r">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 </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-df598c92049acd58563b" style="width:672px;height:480px;"></div> <script type="application/json" data-for="htmlwidget-df598c92049acd58563b">{"x":{"visdat":{"14bd407946b5":["function () 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<h3>Multiple Surfaces</h3> <div class="highlight"><pre><code class="language-r" data-lang="r">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 </code></pre></div> <div class="plotly html-widget html-fill-item" id="htmlwidget-ee421055fcf63038757f" style="width:672px;height:480px;"></div> <script type="application/json" 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<h3>What About Dash?</h3> <a href="https://dashr.plot.ly/">Dash for R</a> 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 <code>fig</code>, you can display the same figure in a Dash for R application by passing it to the <code>figure</code> argument of the <a href="https://dashr.plot.ly/dash-core-components/graph"><code>Graph</code> component</a> from the built-in <code>dashCoreComponents</code> package like this: <div class="highlight"><pre><code class="language-r" data-lang="r">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) </code></pre></div> </section>  </section> </div> </main> <script> var array = []; $('.tutorial-content :header:not(h6)').each(function (i, e) { var item = $(e); var itemText = item.text(); var hash = itemText.replace(/[^a-z0-9\s]/gi, '').replace(/[_\s]/g, '-').replace(/^-+|-+$/g, '').toLowerCase(); item.attr("id", hash); array.push({text: itemText, tag: item.prop("tagName"), hash: hash}); }); $("#nav_header_insertion_list").html(array.map(function(entry) { var text = entry.text.replace(/[^a-z0-9\s\.:\-\?\!)]/gi, ''); if(entry.tag.toLowerCase() < "h4"){ return('<li class="--sidebar-item"><a href="#' + entry.hash + '">' + text + '</a></li>'); } else { return('<li class="--sidebar-item"><a href="#' + entry.hash + '">' + text + '</a></li>'); } }).join("")); //$(".tutorial-content :header:not(h6)").append( "\<div class=\"icon copy\" data-tooltip=\"Click to copy direct link\"><svg style=\"width:24px;height:24px\" viewBox=\"0 0 24 24\"><path fill=\"#000000\" d=\"M10.59,13.41C11,13.8 11,14.44 10.59,14.83C10.2,15.22 9.56,15.22 9.17,14.83C7.22,12.88 7.22,9.71 9.17,7.76V7.76L12.71,4.22C14.66,2.27 17.83,2.27 19.78,4.22C21.73,6.17 21.73,9.34 19.78,11.29L18.29,12.78C18.3,11.96 18.17,11.14 17.89,10.36L18.36,9.88C19.54,8.71 19.54,6.81 18.36,5.64C17.19,4.46 15.29,4.46 14.12,5.64L10.59,9.17C9.41,10.34 9.41,12.24 10.59,13.41M13.41,9.17C13.8,8.78 14.44,8.78 14.83,9.17C16.78,11.12 16.78,14.29 14.83,16.24V16.24L11.29,19.78C9.34,21.73 6.17,21.73 4.22,19.78C2.27,17.83 2.27,14.66 4.22,12.71L5.71,11.22C5.7,12.04 5.83,12.86 6.11,13.65L5.64,14.12C4.46,15.29 4.46,17.19 5.64,18.36C6.81,19.54 8.71,19.54 9.88,18.36L13.41,14.83C14.59,13.66 14.59,11.76 13.41,10.59C13,10.2 13,9.56 13.41,9.17Z\"/> </svg> </div>"); </script> <footer class="--footer-main"> <section class="--footer-top"> <div class="--wrap"> <ul class="--footer-body"> <li class="--footer-column"> <h6 style="color:#119dff" class="--footer-heading">JOIN OUR MAILING LIST</h6>			 <ul> 				 <li> Sign up to stay in the loop with all things Plotly — from Dash Club to product updates, webinars, and more! <a href="https://go.plot.ly/subscription" class="subscribe-button" target="_blank"> Subscribe </a> </li> </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#e763fa" class="--footer-heading">Products</h6>			 <ul> <li><a href="https://plotly.com/dash/" target="_self">Dash</a></li> 				 				 <li><a href="https://plotly.com/consulting-and-oem/" target="_self">Consulting and Training</a></li> </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#636efa" class="--footer-heading">Pricing</h6>			 <ul> <li><a href="https://plotly.com/get-pricing/" target="_self">Enterprise Pricing</a></li> 				 </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#00cc96" class="--footer-heading">About Us</h6>			 <ul> <li><a href="https://plotly.com/careers" target="_self">Careers</a></li> 				 <li><a href="https://plotly.com/resources/" target="_self">Resources</a></li> 				 <li><a href="https://medium.com/@plotlygraphs" target="_self">Blog</a></li> 				 </ul> </li> 		 <li class="--footer-column"> <h6 style="color:#EF553B" class="--footer-heading">Support</h6>			 <ul> <li><a href="https://community.plot.ly/" target="_self">Community Support</a></li> 				 <li><a href="https://plotly.com/graphing-libraries" target="_self">Documentation</a></li> 				 </ul> </li> </ul> </div> </section> <section class="--footer-meta"> <div class="--wrap"> <div class="left"> <article class="--copyright">Copyright © 2025 Plotly. 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