Colors

This library uses the Accessible Color Sequences for Data Visualization by Matthew A. Petroff.

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%load_ext autoreload
%autoreload 2

import matplotlib.pyplot as plt
import numpy as np
import xplt

xplt.apply_style()

Color palette

xplt.cmap_petroff

petroff

under

bad

over

Color gradients

xplt.cmap_petroff_gradient

petroff_gradient

under

bad

over

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xplt.cmap_petroff_bipolar

petroff_bipolar

under

bad

over

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xplt.cmap_petroff_cyclic

petroff_cyclic

under

bad

over

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Usage

With xplt.apply_style() in the import section above, the default color cycle is updated to use the petroff colors.
The colors are also accessible by name as p0, p1, … p9 even without applying Xplt’s style:

plt.figure(figsize=(5, 1))
plt.plot(np.linspace(5, 0) % 2)
plt.plot(np.linspace(0, 5) % 2, color="p2");

Colormaps can be used like cmap='petroff_bipolar':

fig, ax = plt.subplots()
t = np.linspace(0, 2 * np.pi, 1024)
data2d = np.sin(t)[:, np.newaxis] * np.cos(t)[np.newaxis, :]
im = ax.imshow(data2d, cmap="petroff_bipolar")
fig.colorbar(im, ax=ax, label="Color");

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See also

• xplt.colors