Chart Types versus Trace Types
Plotly figures support defining subplots of various types (e.g. cartesian, polar, [3-dimensional], [maps] etc) with attached traces of various compatible types (e.g. scatter, bar, choropleth, surface etc). This means that Plotly figures are not constrained to representing a fixed set of "chart types" such as scatter plots only or bar charts only or line charts only: any subplot can contain multiple traces of different types.
Multiple Trace Types
The first argument to the
plot function accepts and array of traces. Each of these traces can be of a different (but compatible) type. For example, below we have a line and bar chart in the same figure:
using PlotlyJS fruits = ["apples", "oranges", "bananas"] plot([ scatter(x=fruits, y=[1, 3, 2], name="This year", mode="lines"), bar(x=fruits, y=[2, 1, 3], name="Last year", mode="lines") ])
A Contour and Scatter Plot of the Method of Steepest Descent
The example below shows how to display both a scatter plot and contour plot on the same axes.
This is useful for demonstrating progress in a steepest descent algorithm
using PlotlyJS, HTTP, JSON response = HTTP.get("https://raw.githubusercontent.com/plotly/datasets/master/steepest.json") data = JSON.parse(String(response.body)) plot([ contour( z=data["contour_z"], y=data["contour_y"], x=data["contour_x"], ncontours=30, showscale=false ), scatter( x=data["trace_x"], y=data["trace_y"], mode="markers+lines", name="steepest", line_color="black" ) ])
See https://plotly.com/julia/reference/ for more information and attribute options!