Matplotlib Colors
A collection of curated colors and colormaps for matplotlib.
Installation
pip install matplotlib-colors
Demo
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
1 maintainer
Metadata
1 maintainer
Release files for matplotlib-colors 1.0.16
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