A collection of curated color profiles for matplotlib.
Project description
Matplotlib Colors
A collection of curated colors and colormaps for matplotlib.
Installation
py -m pip install matplotlib-colors
Examples
Colormaps
All new color maps can be added to matplotlib simply by calling the register_cmaps
function. The desired colormap can be specified by name with the cmap argument.
from matplotlib_colors import register_cmaps
register_cmaps() # Adds new colourmaps 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]
c = np.linspace(0, 100, 12) # Where each point lands on the colour scale
plt.scatter(x, y, c=c, cmap='analyst') # Specify a new color name from matplotlib_colors
plt.colorbar()
plt.show()
Alternatively, new colormap objects can be accessed directly by importing colormaps
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]
c = np.linspace(0, 100, 12) # Where each point lands on the colour scale
plt.scatter(x, y, c=c, cmap=colormaps['analyst']) # Specify a new color name from matplotlib_colors
plt.colorbar()
plt.show()
The full list of colormaps can be found by color_names
list.
from matplotlib_colors import colormap_names
print(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'])
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
print(color_names)
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