3D Scatter Plots in Julia

3D scatter plot

Like the 2D scatter plot scatter, the 3D version type="scatter3d" plots individual data in three-dimensional space.

using PlotlyJS, CSV, DataFrames
df = dataset(DataFrame, "iris")
plot(
    df,
    x=:sepal_length, y=:sepal_width, z=:petal_width, color=:species,
    type="scatter3d", mode="markers"
)

Style 3d scatter plot

It is possible to customize the style of the figure through the parameters of scatter_3d for some options, or by updating the traces or the layout of the figure through restyle! or relayout!.

using PlotlyJS, CSV, DataFrames

df = dataset(DataFrame, "iris")
plot(
    df, Layout(margin=attr(l=0, r=0, b=0, t=0)),
    x=:sepal_length, y=:sepal_width, z=:petal_width, color=:species,
    type="scatter3d", mode="markers",
    marker_size=:petal_length, marker_sizeref=0.3,
)

3D Scatter Plot with Colorscaling and Marker Styling

using PlotlyJS
# Helix equation
t = range(0, stop=20, length=100)

plot(scatter(
    x=cos.(t),
    y=sin.(t),
    z=t,
    mode="markers",
    marker=attr(
        size=12,
        color=t,                # set color to an array/list of desired values
        colorscale="Viridis",   # choose a colorscale
        opacity=0.8
    ),
    type="scatter3d"
), Layout(margin=attr(l=0, r=0, b=0, t=0)))

Reference

See https://plotly.com/julia/reference/scatter3d/ for more information and chart attribute options!