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#' Create treemaps of image color compositions
#'
#' \code{plot_colors} creates a treemap of colors extracted from Windows BMP, JPEG, PNG, TIFF, and SVG format images with
#' the \code{get_colors} function.
#'
#' @importFrom treemap treemap
#'
#' @param data a \code{data.frame} from a \code{get_colors} call consisting of the columns \code{col_hex}, \code{col_freq},
#' \code{col_share}.
#' @param sort specifies the sorting of the treemap rectangles. By default (\code{"color"}), the rectangles are sorted by
#' hex color codes, starting in the upper left corner. With (\code{"size"}) the largest rectangle is placed top left.
#' @param labels by default, rectangles that are sufficiently large are provided with a label. If \code{FALSE}, then no labels are
#' displayed.
#'
#' @export
#'
#' @examples
#' # Extract all colors
#' pic1 <- system.file("extdata", "pic1.png", package = "colorfindr")
#' col <- get_colors(pic1)
#'
#' # Plot image composition
#' plot_colors(col)
#'
plot_colors <- function(data, sort = "color", labels = TRUE) {
# Calculate share
data$col_share2 <- data$col_share / sum(data$col_share, na.rm = T)
# Process arguments
if (labels) fontsize <- 11
if (!labels) fontsize <- 0
if (sort == "size") sort <- "-size"
# Plot
suppressWarnings(
treemap::treemap(
data,
index = c("col_hex"),
vSize = "col_share2",
vColor = "col_hex",
type = "color",
title = "",
sortID = sort,
border.lwds = 1,
fontsize.labels = fontsize
)
)
}
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