plot_paleta: Plot color palette from color distribution data

In jpmarindiaz/paletero: Color palettes and scales.

Plot color palette from color distribution data

Description

Plot color palette from color distribution data

Usage

plot_paleta(
  color_data,
  method = c("treemap", "tiles", "bars", "spectrum"),
  sort_by = c("distribution", "hue", "luminance", "saturation", "temperature", "harmony",
    "lab", "similarity", "category", "gradient", "none"),
  reverse = FALSE,
  label_colors = TRUE,
  nrow = NULL,
  reference_color = "#FF5500"
)

Arguments

color_data	A tibble with at least 'color' column; optionally 'distribution' for size weighting. Alternatively, a character vector of colors.
method	Visualization method: "treemap", "tiles", "bars", or "spectrum"
sort_by	How to sort colors: "distribution" (default), "hue", "luminance", "saturation", "temperature", "harmony", "lab", "similarity", "category", "gradient", or "none"
reverse	Logical. Whether to reverse the sort order (default: FALSE)
label_colors	Logical. Whether to add color hex codes as labels (default: TRUE)
nrow	Number of rows for "tiles" method (default: NULL for auto calculation)
reference_color	Reference color for "similarity" sorting (default: "#FF5500")

Value

A ggplot object showing the color palette

Examples

# With a tibble input
colors_data <- tibble::tibble(
  color = c("#FF0000", "#00FF00", "#0000FF"),
  distribution = c(0.5, 0.3, 0.2)
)
plot_paleta(colors_data, method = "treemap")

# With a vector input
colors_vec <- c("#FF0000", "#00FF00", "#0000FF")
plot_paleta(colors_vec, method = "tiles")

# Sort by different methods
plot_paleta(colors_vec, method = "spectrum", sort_by = "luminance")
plot_paleta(colors_vec, method = "spectrum", sort_by = "temperature")

jpmarindiaz/paletero documentation built on April 13, 2025, 4:03 p.m.