new function color_plot() added with tests

This commit is contained in:
Andreas Gammelgaard Damsbo 2023-06-05 11:05:48 +02:00
parent b1ba172420
commit 042648bbfd
7 changed files with 161 additions and 3 deletions

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@ -12,6 +12,7 @@
#' @param method A character string that specifies the method for calculating
#' the luminance. Three different methods are available:
#' c("relative","perceived","perceived_2")
#' @param ... parameter overflow. Ignored.
#' @details
#' This function aids in deciding the font color to print on a given background.
#' The function is based on the example provided by teppo:
@ -32,7 +33,8 @@ contrast_text <- function(background,
light_text = 'white',
dark_text = 'black',
threshold = 0.5,
method = "perceived_2") {
method = "perceived_2",
...) {
if (method == "relative") {
luminance <-
c(c(.2126, .7152, .0722) %*% grDevices::col2rgb(background) / 255)
@ -50,3 +52,66 @@ contrast_text <- function(background,
dark_text)
}
#' Plot color examples with contrasting text
#'
#' Plots color examples with contrasting text. Parameters are passed to
#' contrast_text.
#' @param colors Vector of colors to plot
#' @param labels Show color names. Default is TRUE
#' @param borders Border parameter for 'rect()' function. Default is NULL
#' @param cex_label Label size. Default is 1.
#' @param ncol Desired number of columns. Default is ceiling of square root to
#' the length of 'colors' vector provided.
#' @param ... Parameters for the
#'
#' @return base plot
#' @export
#'
#' @importFrom graphics par rect text
#'
#' @examples
#' par(bg=NULL)
#' colors <- sample(colors(),size = 20)
#' color_plot(colors, method="relative")
#'
color_plot <-
function (colors,
labels = TRUE,
borders = NULL,
cex_label = 1,
ncol = NULL,
...){
n <- length(colors)
ncol <- if (is.null(ncol)) ceiling(sqrt(length(colors))) else ncol
nrow <- ceiling(n / ncol)
colors <- c(colors, rep(NA, nrow * ncol - length(colors)))
colors <- matrix(colors, ncol = ncol, byrow = TRUE)
old <- par(pty = "s", mar = c(0, 0, 0, 0))
on.exit(par(old))
size <- max(dim(colors))
plot(
c(0, size),
c(0, -size),
type = "n",
xlab = "",
ylab = "",
axes = FALSE
)
rect(
col(colors) - 1,
-row(colors) + 1,
col(colors),
-row(colors),
col = colors,
border = borders
)
if (labels) {
label_col <- contrast_text(colors,...)
text(col(colors) - 0.5,
-row(colors) + 0.5,
colors,
cex = cex_label,
col = label_col)
}
}

42
man/color_plot.Rd Normal file
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@ -0,0 +1,42 @@
% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/contrast_text.R
\name{color_plot}
\alias{color_plot}
\title{Plot color examples with contrasting text}
\usage{
color_plot(
colors,
labels = TRUE,
borders = NULL,
cex_label = 1,
ncol = NULL,
...
)
}
\arguments{
\item{colors}{Vector of colors to plot}
\item{labels}{Show color names. Default is TRUE}
\item{borders}{Border parameter for 'rect()' function. Default is NULL}
\item{cex_label}{Label size. Default is 1.}
\item{ncol}{Desired number of columns. Default is ceiling of square root to
the length of 'colors' vector provided.}
\item{...}{Parameters for the}
}
\value{
base plot
}
\description{
Plots color examples with contrasting text. Parameters are passed to
contrast_text.
}
\examples{
par(bg=NULL)
colors <- sample(colors(),size = 20)
color_plot(colors, method="relative")
}

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@ -9,7 +9,8 @@ contrast_text(
light_text = "white",
dark_text = "black",
threshold = 0.5,
method = "perceived_2"
method = "perceived_2",
...
)
}
\arguments{
@ -26,6 +27,8 @@ the luminance threshold of the background color for text color.}
\item{method}{A character string that specifies the method for calculating
the luminance. Three different methods are available:
c("relative","perceived","perceived_2")}
\item{...}{parameter overflow. Ignored.}
}
\value{
A character string that contains the best contrast text color.

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@ -2,6 +2,7 @@
library(testthat)
test_that("contrast_text() returns the correct text color", {
expect_equal(contrast_text("#FFFFFF"), "black")
expect_equal(contrast_text("#000000"), "white")
@ -9,4 +10,51 @@ test_that("contrast_text() returns the correct text color", {
"green")
expect_equal(contrast_text("#000000", light_text="blue", dark_text="green"),
"blue")
})
})
################################################################################
library(devtools)
install_github("MangoTheCat/visualTest")
library(visualTest)
test_that("New test of color_plot()", {
par(bg=NULL)
colors <- colors()[34:53]
# old <- getwd()
# setwd("/Users/au301842/stRoke/tests/testthat")
# setwd(old)
png(filename = "data/test1.png")
color_plot(colors,method="relative")
dev.off()
# getFingerprint("data/test1.png")
expect_equal(getFingerprint("data/test1.png"), "AD07D27813E1D867")
# isSimilar(tmp, "AD07D27813E1D867", threshold = 8)
#############################
# colors <- colors()[51:70]
png(filename = "data/test2.png")
color_plot(colors,labels = TRUE, borders = FALSE,cex_label = .5, ncol = 3, method="perceived_2")
dev.off()
# getFingerprint("data/test2.png")
expect_equal(getFingerprint("data/test2.png"), "8B0B54D4E4AF2BB1")
#############################
png(filename = "data/test3.png")
color_plot(colors,labels = FALSE, borders = TRUE, ncol = 6, method="perceived")
dev.off()
# getFingerprint("data/test3.png")
expect_equal(getFingerprint("data/test3.png"), "B706F0F1C119CCF8")
})
################################################################################