Getting Started

This guide will help you get started with ColorVintner.

Installation

First, install the package:

using Pkg
Pkg.add("ColorVintner")

Basic Usage

Load the package and start exploring:

using ColorVintner

# See all available schemes
show_all_scheme_names()

Exploring Color Schemes

Get Information About a Specific Scheme

# Get detailed information about a scheme
colors = list_scheme_colors_in_rbg(:Blues_5)

This will show you:

• The scheme name
• Number of colors in the scheme
• Hex color codes for each color

Get All Schemes as a DataFrame

# Create a DataFrame with all schemes
df = list_schemes_colors_in_hex()
first(df, 10)  # Show first 10 schemes

Creating Visualizations

Basic Color Bar Plot

# Plot a few schemes
plot_color_bars([:Blues_5, :Reds_5, :Greens_5])

Custom Plot Settings

# Plot with custom settings
plot_color_bars([:Blues_5, :Reds_5, :Greens_5], 
                schemes_per_row=3, 
                save_path="my_plot.pdf",
                plot_title="My Color Schemes")

Comprehensive Visualization

# Create all category plots and save to a directory
plots = plot_schemes_by_category(save_dir="./color_plots")

Understanding Color Scheme Categories

Sequential Schemes

Use for data that progresses from low to high values:

# Examples of sequential schemes
[:Blues_5, :Reds_5, :Greens_5, :Oranges_5]

Diverging Schemes

Use for data with a meaningful center point:

# Examples of diverging schemes
[:RdBu_5, :PiYG_5, :BrBG_5, :PuOr_5]

Qualitative Schemes

Use for categorical data:

# Examples of qualitative schemes
[:Set1_5, :Set2_5, :Set3_5, :Paired_5]

Utility Functions

Get All Schemes

all_schemes = get_all_schemes()

Get Scheme Counts

counts = get_scheme_count()
println("Total schemes: ", counts[:total])
println("Sequential: ", counts[:sequential])
println("Diverging: ", counts[:diverging])
println("Qualitative: ", counts[:qualitative])