Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
R
1,284
121 commits
updated Jan 3, 2025
Palettes inspired by works at the Metropolitan Museum of Art in New York. Pieces selected come from various time periods, regions, and mediums.
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:
My Website: here
Twitter: here
LinkedIn: here
Email: [email protected]
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")
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")
.png)
.png)
Jitterbugs V, 1941–42, William Henry Johnson, American, Link
Kleine Welten IV (Small Worlds IV), 1922, Vasily Kandinsky, French, born Russia, Link
.png)
.png)
.png)
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")
Python
met_brew(name="Manet", n=5)
R
met.brewer("Manet", 5)
Python
met_brew("Morgenstern")
R
met.brewer("Morgenstern")
.png)
Python
met_brew("Troy", n=15, brew_type="continuous")
R
met.brewer("Troy", n=15, type="continuous")
Python
met_brew("Hokusai1", n=100, brew_type="continuous")
R
met.brewer("Hokusai1", n=100)
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))
ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
geom_point(size=2) +
scale_color_manual(values=met.brewer("Renoir", 3))
ggplot(data=iris, aes(x=Species, y=Sepal.Width, color=Sepal.Width)) +
geom_point(size=3) +
scale_color_gradientn(colors=met.brewer("Isfahan1"))
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()
.png)
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
1,517 followers · starred Jun 2025
658 followers · starred Mar 2022
389 followers · starred Mar 2023
93 followers · starred Jan 2022
Color palette package in R inspired by works at the Metropolitan Museum of Art in New York
R
1,284
121 commits
updated Jan 3, 2025
Palettes inspired by works at the Metropolitan Museum of Art in New York. Pieces selected come from various time periods, regions, and mediums.
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:
My Website: here
Twitter: here
LinkedIn: here
Email: [email protected]
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")
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")
Jitterbugs V, 1941–42, William Henry Johnson, American, Link
Kleine Welten IV (Small Worlds IV), 1922, Vasily Kandinsky, French, born Russia, Link
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")
Python
met_brew(name="Manet", n=5)
R
met.brewer("Manet", 5)
Python
met_brew("Morgenstern")
R
met.brewer("Morgenstern")
Python
met_brew("Troy", n=15, brew_type="continuous")
R
met.brewer("Troy", n=15, type="continuous")
Python
met_brew("Hokusai1", n=100, brew_type="continuous")
R
met.brewer("Hokusai1", n=100)
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))
ggplot(data=iris, aes(x=Sepal.Length, y=Sepal.Width, color=Species)) +
geom_point(size=2) +
scale_color_manual(values=met.brewer("Renoir", 3))
ggplot(data=iris, aes(x=Species, y=Sepal.Width, color=Sepal.Width)) +
geom_point(size=3) +
scale_color_gradientn(colors=met.brewer("Isfahan1"))
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()
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
1,517 followers · starred Jun 2025
658 followers · starred Mar 2022
389 followers · starred Mar 2023
93 followers · starred Jan 2022