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MetBrewer <img align="right" src="https://github.com/BlakeRMills/MetBrewer/blob/main/PaletteImages/Hex/MetBrewerHex.jpg" width=400>

Palettes inspired by works at the Metropolitan Museum of Art in New York. Pieces selected come from various time periods, regions, and mediums.

CRAN Version CRAN Downloads

Structure of the package was based on coding from the PNWColors and wesanderson packages. Inspired by the package RColorBrewer from the work of Cynthia Brewer.

For requests, questions, comments, concerns, or any thing else, feel free to reach out to me:<br /> My Website: here<br /> Twitter: here<br /> LinkedIn: here <br />Email: blakerobertmills@gmail.com

Content

Installation

Palettes

Functions

Colorblind Checking

Install Package

R

MetBrewer is now able to be downloaded directly through R. You can still download through GitHub as well.

install.packages("MetBrewer")

install.packages("devtools")
devtools::install_github("BlakeRMills/MetBrewer")

Python

Install the package under the Python/ directory directly:

python setup.py install

or via pip:

pip install .

or place the file into your source directory.

Use it in your code:

import met_brewer
colors = met_brew(name="VanGogh1", n=123, brew_type="continuous")

Palettes

All Palettes

AllPals

Archambault

Archambault

Austria

Austria

Benedictus

Benedictus

Cassatt1

Cassatt

Cassatt2

Cassatt2

Cross

Cross

Degas

Degas

Demuth

Demuth

Derain

Derain

Egypt

Egypt

Gauguin

Gauguin

Greek

Greek

Hiroshige

Hiroshige

Hokusai1

Hokusai

Hokusai2

Hokusai2

Hokusai3

Hokusai3

Homer1

Homer1

Homer2

Homer2

Ingres

Ingres

Isfahan1

Isfahan1

Isfahan2

Isfahan2

Java

Java

Johnson

Johnson Jitterbugs V, 1941–42, William Henry Johnson, American, Link

Juarez

Juarez

Kandinsky

Kandinsky Kleine Welten IV (Small Worlds IV), 1922, Vasily Kandinsky, French, born Russia, Link

Klimt

Klimt

Lakota

Lakota

Manet

Manet

Monet

Monet

Moreau

Moreau

Morgenstern

Morgenstern

Nattier

Nattier

Navajo

Navajo

NewKingdom

NewKingdom

Nizami

Nizami

OKeeffe1

OKeeffe1

OKeeffe2

OKeeffe2

Paquin

Paquin

Peru1

Peru1

Peru2

Peru2

Pillement

Pillement

Pissaro

Pissaro

Redon

Redon

Renoir

Renoir

Signac

Signac

Tam

Tam

Tara

Tara

Thomas

Thomas

Tiepolo

Tiepolo

Troy

Troy

Tsimshian

Tsimshian

VanGogh1

VanGogh1

VanGogh2

VanGogh2

VanGogh3

VanGogh3

Veronese

Veronese

Wissing

Wissing

Functions

You can retrieve palettes using various methods listed below.

Python
met_brew(name="VanGogh1", n=7, brew_type="discrete")

R
met.brewer(name="VanGogh1", n=7, type="discrete")

Ex1

Python
met_brew(name="Manet", n=5)

R
met.brewer("Manet", 5)

Ex2

Python
met_brew("Morgenstern")

R
met.brewer("Morgenstern")

Ex3

Python
met_brew("Troy", n=15, brew_type="continuous")

R
met.brewer("Troy", n=15, type="continuous")

Ex4

Python
met_brew("Hokusai1", n=100, brew_type="continuous")

R
met.brewer("Hokusai1", n=100)

Ex5

ggplot2 Examples

Here are also some ways you can incorporate this package into {ggplot2}

ggplot(data=iris, aes(x=Species, y=Petal.Length, fill=Species)) +
  geom_violin() +
  scale_fill_manual(values=met.brewer("Greek", 3))

Ex6

ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
  geom_point(size=2) +
  scale_color_manual(values=met.brewer("Renoir", 3))

Ex7

ggplot(data=iris, aes(x=Species, y=Sepal.Width, color=Sepal.Width)) +
  geom_point(size=3) +
  scale_color_gradientn(colors=met.brewer("Isfahan1"))

Ex8

library(urbnmapr)
countydata %>%
  left_join(counties, by = "county_fips") %>%
  filter(state_name =="Nebraska") %>%
  ggplot(mapping=aes(long,lat,group = group, fill = horate)) +
  geom_polygon(color="black",size=.25) +
  scale_fill_gradientn(colors = met.brewer("Morgenstern")) +
  coord_fixed() +
  labs(fill="Homeownership rate") +
  theme_void()

Ex9

Colorblind Friendly Checking

The package has been updated to check for colorblind-friendlyness You can list out the colorblind-friendly palettes with the following code

Python
for palette_name, palette_dict in COLORBLIND_PALETTES.items():
    print(palette_name)
    
[1] Cassatt1, Cassatt2, Derain, Egypt, Greek, Hiroshige, Hokusai2, Hokusai3, Ingres
[2] Isfahan1, Isfahan2, Morgenstern, OKeeffe1, OKeeffe2, Pillement, Troy, VanGogh3, Veronese

R
MetBrewer::colorblind_palettes

 [1] "Archambault" "Cassatt1"    "Cassatt2"    "Demuth"      "Derain"      "Egypt"       "Greek"       "Hiroshige"  
 [9] "Hokusai2"    "Hokusai3"    "Ingres"      "Isfahan1"    "Isfahan2"    "Java"        "Johnson"     "Kandinsky"  
[17] "Morgenstern" "OKeeffe1"    "OKeeffe2"    "Pillement"   "Tam"         "Troy"        "VanGogh3"    "Veronese"

You can also test is a palettes is colorblind friendly using the function provided

Python
is_colorblind_friendly("Ingres")
[1] True

R
MetBrewer::colorblind.friendly("Ingres")
[1] TRUE