In JosiahParry/cpcinema: Extract Color Palettes from \@colorpalette.cinema.

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%",
  warning = FALSE,
  message = FALSE
)
library(tidyverse)

cpcinema

cpcinema is intended to extract color palettes from the images posted by the Instagram account \@colorpalette.cinema. \@colorpalette.cinema takes stills from beautiful filmed and edited cinema pieces and creates a color palette containing 10 colors from the still. cpcinema extracts the hexcodes from one of their posts (or any image with 10 equally spaced out colors at the bottom).

Installation

You can install the development version from GitHub with:

# install.packages("remotes")
remotes::install_github("JosiahParry/cpcinema")

Extracting Color Palettes

knitr::include_graphics("inst/img/joker.jpg")

This still from the Joker (2019) contains a beautiful palette which seems like it may be suitable as a diverging color palette. We can extract these hex codes using extract_cpc_pal(). Note that the print method is not effectively displayed in the README.

library(cpcinema)

img_path <- system.file("img/joker.jpg", package = "cpcinema")

(joker <- extract_cpc_pal(img_path))

r knitr::include_graphics("inst/img/queens-gambit.png")

pal_from_post("https://www.instagram.com/p/CHvWFaanPDQ/")

Creating Color Palettes

Moreover, we are able to actually generate color palettes with more or less values than is available in our palette with the color_palette() function.

colors <- c("#842000", "#EC9B01", "#3F5D91")

my_colors <- color_palette(colors, n = 3)

my_colors

color_palette() has three arguments pal, n, and type. pal expects a character vector of hexcodes. n we specify how many colors from the palette should be selected. If n is omitted, it is the same number of values as in the palette. If it is larger than the length of pal, you will be prompted to change the type argument. There are two different arguments for type. These are discrete (the default) and continuous. When type = "continuous" we are indicating that interpolation of the colors needs to be performed.

For example, we can take the palette from above and interpolate 7 more colors by setting n = 10 and type = "continuous".

(colors_10 <- color_palette(colors, n = 10, "continuous"))

Pretty cool, huh? We can take those 10 colors and extract only 5 of them by setting n = 5.

color_palette(colors_10, 5)

Moreover, if you'd prefer to select them manually, you can do that as well using bracket [ indexing.

colors_10[c(1, 3, 6, 9)]

Using color palettes

Continuous data

library(tidyverse)

# create some fake data
x <- expand.grid(group = 1:10, big = LETTERS) %>% 
  group_by(group) %>% 
  mutate(value = rnorm(n(), mean = group))

# plot that fake data
ggplot(x, aes(x = group, y = big, fill = value)) +
  geom_tile() + 
  scale_fill_gradientn(colours = color_palette(joker, n = 100, "continuous")) + 
  scale_x_discrete(expand = c(0, 0)) +
  scale_y_discrete(expand = c(0, 0)) + 
  coord_equal() +
  labs(x = "", y = "") 

Discrete data

ggplot(data = palmerpenguins::penguins, aes(x = bill_length_mm, y = bill_depth_mm)) +
  geom_point(aes(color = species,
                 shape = species),
             size = 2)  +
  scale_color_manual(values = my_colors) +
  theme_light()

Available palettes

There are also a number of available palettes for you right away. These are accessible through the list object available_pals.

notes

This package implements an S3 cpcinema class using vctrs. The class cpcinema contains a Crayon style in the attributes for each color—this is what enables the fun printing. cpcinema objects will be coerced to character vectors when needed. Otherwise you can cast them explicitly with as.character(). To extract the crayon styles use palette_style().

pal <- color_palette(colors)

palette_style(pal)

acknowledgments

This package was inspired by \@karthik's wesanderson package. Additionally, \@jesseadler's debvectrs presentation at rstudio::conf(2020L) and repository helped tremendously in getting the footing for the vctrs classes.

JosiahParry/cpcinema documentation built on March 20, 2021, 12:04 a.m.