When working with Julia and Plotly.jl, creating subplots can be a useful way to display multiple plots in a single figure. In this article, we will explore three different ways to make subplots in Julia using Plotly.jl.
Option 1: Using the `plotly_subplots` function
The first option is to use the `plotly_subplots` function provided by Plotly.jl. This function allows us to create a grid of subplots with a specified number of rows and columns. Here is an example:
using Plotly
# Create some sample data
x = 1:10
y1 = rand(10)
y2 = rand(10)
# Create a subplot grid with 1 row and 2 columns
fig = plotly_subplots(1, 2)
# Add the first subplot
subplot!(fig, 1, 1)
plot!(x, y1)
# Add the second subplot
subplot!(fig, 1, 2)
plot!(x, y2)
# Show the figure
fig
This code creates a figure with two subplots, one on the left and one on the right. Each subplot contains a line plot of the sample data.
Option 2: Using the `plotly` function with subplots argument
The second option is to use the `plotly` function provided by Plotly.jl and specify the `subplots` argument. This allows us to create subplots directly within the `plotly` function call. Here is an example:
using Plotly
# Create some sample data
x = 1:10
y1 = rand(10)
y2 = rand(10)
# Create a figure with two subplots
fig = plotly(; subplots = (1, 2))
# Add the first subplot
plot!(fig, subplot = 1)
plot!(x, y1)
# Add the second subplot
plot!(fig, subplot = 2)
plot!(x, y2)
# Show the figure
fig
This code produces the same result as the previous option, but the subplots are created directly within the `plotly` function call.
Option 3: Using the `@layout` macro
The third option is to use the `@layout` macro provided by Plotly.jl. This macro allows us to define the layout of the figure, including the arrangement of subplots. Here is an example:
using Plotly
# Create some sample data
x = 1:10
y1 = rand(10)
y2 = rand(10)
# Create a figure with two subplots using the @layout macro
fig = plot(x, y1, layout = @layout([a, b]))
# Add the second subplot
plot!(fig, x, y2, subplot = b)
# Show the figure
fig
This code also produces the same result as the previous options. The `@layout` macro allows us to define the layout of the figure using a more concise syntax.
After exploring these three options, it is clear that the best option depends on personal preference and the specific requirements of the project. The `plotly_subplots` function provides a straightforward way to create subplots, while the `plotly` function with the `subplots` argument allows for more flexibility. The `@layout` macro offers a concise syntax for defining the layout of the figure. Ultimately, the choice between these options should be based on the individual’s familiarity with the syntax and the desired level of control over the subplot arrangement.
