In simranvatsa/lalaland: Color Palettes From The 2016 Film "La La Land"

Palettes inspired by "La La Land"

I think La La Land's use of color is breathtakingly beautiful, so I made an R package of palettes based on stills from the film. I used a combination of online image color pickers and Susie Lu's Viz Palette to build them.

knitr::opts_chunk$set(fig.width=10, fig.height=2.3) 

Installing and loading the package:

devtools::install_github("simranvatsa/lalaland")
library(lalaland)

---

The functions:

show_lll_palette(name, n): prints the selected palette/subsection of palette as an image

lll_palette(name, n): generates a vector containing hex codes for the the selected palette/subsection of palette

lalaland_palettes: named list containing all palettes

---

---

California:

show_lll_palette("California")

---

---

City Of Stars #1:

show_lll_palette("CityOfStars1")

---

---

City Of Stars #2:

show_lll_palette("CityOfStars2")

---

---

Epilogue #1:

show_lll_palette("Epilogue1")

---

---

Epilogue #2:

show_lll_palette("Epilogue2")

---

---

LighthouseCafe:

show_lll_palette("LighthouseCafe")

---

---

LovelyNight:

show_lll_palette("LovelyNight")

---

---

Sebs:

show_lll_palette("Sebs")

---

---

Summer:

show_lll_palette("Summer")

---

---

Traffic:

show_lll_palette("Traffic")

---

---

Using the palettes!

library(ggplot2)

ggplot(iris, aes(x = Sepal.Length, y = Petal.Length, color = Species)) +
  geom_point() +
  scale_color_manual(values = lll_palette("CityOfStars1", c(2,3,4))) +
  theme_minimal() +
  labs(title = "Sepal and petal lengths for the iris dataset, colored by species")

ggplot(diamonds[diamonds$carat < 3, ], aes(x = carat, fill = cut)) +
  geom_histogram(bins = 20) +
  scale_fill_manual(values = lll_palette("Sebs")) +
  theme_minimal() +
  labs(title = "Distribution of carat values of diamonds")

ggplot(mpg, aes(x = class, fill = as.factor(cyl))) +
  geom_bar() +
  scale_fill_manual(values = lll_palette("LighthouseCafe", c(1,3,2,4))) +
  theme_minimal() +
  labs("Number of cars by class and cylinders in the mpg dataset")

simranvatsa/lalaland documentation built on May 22, 2019, 6:34 p.m.