Customizing with themes

Introduction to Data Visualization with Julia

Gustavo Vieira Suñe

Data Analyst

Plots.jl themes

Easy customization

using Plots

# Set theme
theme(thm::Symbol; kwargs...)

Many theme (thm) choices: :default, :dark, :ggplot2, :juno, ...
kwargs: set default attributes

E.g., theme(:juno, linecolor=:red, linewidth=5)

Previewing themes

showtheme(:ggplot2)

A figure containing many different plots created using the ggplot2 theme.

showtheme(:juno)

A figure containing many different plots created using the juno theme.

Favorite music genres

Music effects on mental health dataset.

using DataFrames, CSV, Plots

# Load dataset
streaming = DataFrame(CSV.File("streaming.csv"))


# Group by genre
grouped = groupby(streaming, "Fav genre")
# Count genres 
counts = combine(grouped, nrow => :count)

Visualize with bar chart!

Default-themed bar chart

# Bar chart with :default
bar(
    counts[!, "Fav genre"],
    counts.count,

    title="Favorite Music Genres"
    ylabel="Frequency",
    label=false,
)

A bar chart displaying the counts of favorite genres created using the default theme.

Try a different theme

# Set the theme
theme(:juno)


# Bar chart with :juno
bar(
    counts[!, "Fav genre"],
    counts.count,
    label=false,
    ylabel="Frequency",
    title="Favorite Music Genres"
)

A bar chart displaying the counts of favorite genres created using the juno theme.

Make it pop!

theme(
    :juno,

    # Default line color and width
    linecolor=:red, linewidth=5,

    # Hide the axis lines
    framestyle=:grid
)

bar(
    counts[!, "Fav genre"],
    counts.count,
    label=false,
    ylabel="Frequency",
    title="Favorite Music Genres"
)

A bar chart displaying the counts of favorite genres created using the default theme, with a thick red line around the bars.

Save to file: savefig("genres.png")

Let's practice!

Introduction to Data Visualization with Julia