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3D Streamtube Plots in R

How to create streamtube plots with Plotly.

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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.

Introduction

In streamtube plots, attributes inlcude x, y, and z, which set the coorindates of the vector field, and u, v, and w, which sets the x, y, and z components of the vector field. Additionally, you can use starts to determine the streamtube's starting position. Lastly, maxdisplayed determines the maximum segments displayed in a streamtube.

Basic Streamtube Plot

library(plotly)

df = read.csv('https://raw.githubusercontent.com/plotly/datasets/master/streamtube-basic.csv')

p <- df %>%
  plot_ly(
    type = 'streamtube',
    x = ~x,
    y = ~y,
    z = ~z,
    u = ~u,
    v = ~v,
    w = ~w,
    sizeref = 0.5,
    cmin = 0,
    cmax = 3
  ) %>%
  layout(
    scene = list(
      camera = list(
        eye = list(
          x = -0.7243612458865182,
          y = 1.9269804254717962,
          z = 0.6704828299861716
        )
      )
    )
  )

p

Starting Position and Segments

library(plotly)

df = read.csv('https://raw.githubusercontent.com/plotly/datasets/master/streamtube-wind.csv')

p <- df %>%
  plot_ly(
    type = 'streamtube',
    x = ~x,
    y = ~y,
    z = ~z,
    u = ~u,
    v = ~v,
    w = ~w,
    starts = list(
      x = rep(80, 16),
      y = rep(c(20,30,40,50), 4),
      z = c(rep(0,4),rep(5,4),rep(10,4),rep(15,4))
    ),
    sizeref = 0.3,
    showscale = F,
    maxdisplayed = 3000
  ) %>%
  layout(
    scene = list(
      aspectratio = list(
        x = 2,
        y = 1,
        z = 0.3
      )
    ),
    margin = list(
      t = 20, b = 20, l = 20, r = 20
    )
  )

p

Reference

See our reference page for more information and chart attribute options!.