seaborn color_palette as matplotlib colormap

Seaborn offers a function called color_palette, which allows you to easily create new color_palettes for plots.

colors = ["#67E568","#257F27","#08420D","#FFF000","#FFB62B","#E56124","#E53E30","#7F2353","#F911FF","#9F8CA6"]

color_palette = sns.color_palette(colors)

I want to transform color_palette to a cmap, which I can use in matplotlib, but I don't see how I can do this.

Sadly just functions like "cubehelix_palette","light_palette",… have an "as_cmap" paramater. "color_palette" doesn't, unfortunately.

Solution 1:

You have to convert a list of colors from seaborn palette to color map of matplolib (thx to @RafaelLopes for proposed changes):

import seaborn as sns
import matplotlib.pylab as plt
import numpy as np
from matplotlib.colors import ListedColormap

# construct cmap
flatui = ["#9b59b6", "#3498db", "#95a5a6", "#e74c3c", "#34495e", "#2ecc71"]
my_cmap = ListedColormap(sns.color_palette(flatui).as_hex())

N = 500
data1 = np.random.randn(N)
data2 = np.random.randn(N)
colors = np.linspace(0,1,N)
plt.scatter(data1, data2, c=colors, cmap=my_cmap)
plt.colorbar()
plt.show()

Solution 2:

Most seaborn methods to generate color palettes have an optional argument as_cmap which by default is False. You can use to directly get a Matplotlib colormap:

import seaborn as sns
import matplotlib.pylab as plt
import numpy as np

# construct cmap
my_cmap = sns.light_palette("Navy", as_cmap=True)

N = 500
data1 = np.random.randn(N)
data2 = np.random.randn(N)
colors = np.linspace(0,1,N)
plt.scatter(data1, data2, c=colors, cmap=my_cmap)
plt.colorbar()
plt.show()

Solution 3:

The first answer is somehow correct but way too long with a lot of unnecessary information. The correct and short answer is:

To convert any sns.color_palette() to a matplotlib compatible cmap you need two lines of code

from matplotlib.colors import ListedColormap
cmap = ListedColormap(sns.color_palette())

Solution 4:

Just an additional tip - if one wants a continuous colorbar/colormap, adding 256 as the number of colors required from Seaborn colorscheme helps a lot.

cmap = ListedColormap(sns.color_palette("Spectral",256))