matplotlib-colors 1.0.15

A collection of curated color profiles for matplotlib.

Matplotlib Colors

A collection of curated colors and colormaps for matplotlib.

Installation

pip install matplotlib-colors

Demo

All colors and colormaps

Examples

Colormaps

Call the register_cmaps function to add the new colormaps to matplotlib. Then the desired colormap can be specified by name as the cmap argument.

from matplotlib_colors import register_cmaps
register_cmaps()  # Adds new colormaps to matplotlib

# Build your data viz as normal with matplotlib
import numpy as np
import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=range(12), cmap='analyst')  # Specify one of the new colormap names
plt.colorbar()
plt.show()

Alternatively, all new colormap objects can be accessed directly by importing the colormaps dict and specifying a colormap by name.

import numpy as np
import matplotlib.pyplot as plt
from matplotlib_colors import colormaps

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=range(12), cmap=colormaps['analyst'])  # Specify a colormap from colormaps dict
plt.colorbar()
plt.show()

The full list of colormap names can be found by importing the colormap_names list.

from matplotlib_colors import colormap_names

Colors

The package includes a large selection of colors that can be accessed directly by importing colors and specifying a color name.

import matplotlib.pyplot as plt
from matplotlib_colors import colors

x = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
y = [x * x for x in x]
plt.scatter(x, y, c=colors['PL_RED'])  # All points colored with PL_RED
plt.colorbar()
plt.show()

The full list of color names can be found by importing the color_names list.

from matplotlib_colors import color_names