title: Turn off plotly 3D Scatterplot marker indicators in R
body: <p><a href="https://i.stack.imgur.com/cuP5e.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/cuP5e.png" alt="enter image description here"></a>
  What are the lines called (in the API) which extend from a marker to the respective axis when you hover over a marker?
  Is there a way to turn those off?</p>
  
  <pre><code>library(plotly)
  
  itemName = c("Alpha", "Bravo", "Charley", "Delta", "Echo", "Foxtrot") 
  security = c(0.8583241, 0.7516891, 0.5390520, 0.4569594, 0.3228843, 0.1722286) 
  miniX = c(-885.108, -1030.000, -805.889, -695.755, -887.871, -640.986) 
  miniY   = c(-445.135, -298.563, -797.709, -806.598, -963.091, -1010)
  miniZ   = c(423.694, 417.075, 616.456, 571.223, 575.304, 412.72)
  
  df = data.frame(itemName, security, miniX, miniY, miniZ)
  
  # set a range of colors
  colors &lt;- c('#f42f28', '#f2e30e', '#2d9b37', '#31a6f3') 
  
  
  ######### set up 3d scatter plot  #########
  p1 &lt;- plot_ly(df, 
               x = miniX, 
               y = miniY, 
               z = miniZ, 
               mode = "markers", 
               size = security, 
               color = security, 
               colors = colors,
               marker = list(symbol = 'circle', sizemode = 'diameter'), sizes = c(10, 20),
               text = paste('Item:', itemName, '&lt;br&gt;Security:', security),
               hoverinfo = "none"
  ) %&gt;%
    add_markers() %&gt;%
    layout(title = 'Locales',
           scene = list(xaxis = list(title = '', autorange = TRUE, showgrid = FALSE, zeroline = FALSE, showline = FALSE, autotick = TRUE, ticks = '', showticklabels = FALSE),
                        yaxis = list(title = '', autorange = TRUE, showgrid = FALSE, zeroline = FALSE, showline = FALSE, autotick = TRUE, ticks = '', showticklabels = FALSE),
                        zaxis = list(title = '', autorange = TRUE, showgrid = FALSE, zeroline = FALSE, showline = FALSE, autotick = TRUE, ticks = '', showticklabels = FALSE)
           )
    )
  
  # Output the plot
  p1
  </code></pre>