Adopted from seaborn’s timeseries_facets example
# base on stacked-plots.py from Scientific Visualisation by N. P. Rougier
import itertools
import numpy as np
import matplotlib.pyplot as plt
from scipy.ndimage import gaussian_filter1d
from mpl_visual_context.patheffects import ClipRect
from mpl_visual_context.patheffects import StrokeColor, FillColor
from SecretColors import Palette
# from mpl_visual_context.patheffects import HLSaxb, ColorMatrix
np.random.seed(1)
fig, ax = plt.subplots(figsize=(8, 4), num=1, clear=True)
X = np.linspace(0, 1, 500)
Y0 = np.ones(len(X))
pe_clip = ClipRect(ax, left=X[325], right=X[424], coords="data")
material = Palette("material")
# [90, 80, ..., 10, 5]
shades = itertools.chain(range(90, 10, -10), [5])
for i, shade in enumerate(shades):
Y = Y0 + np.random.uniform(0, 1 / (i + 1), len(X))
Y = gaussian_filter1d(Y, 3)
fc1 = material.get("yellow", shade=shade)
fc2 = material.get("blue-gray", shade=shade)
ax.fill_between(
X,
Y,
Y0,
edgecolor="black",
linewidth=0.25,
facecolor=fc1,
# we first fill the path with fc2. Then we fill with original color byt
# with ClipRect applied.
path_effects = [FillColor(fc2) | StrokeColor("w"), pe_clip]
)
Y0 = Y
ax.axvline(X[325], color="black", linestyle="--")
ax.axvline(X[424], color="black", linestyle="--")
ax.set_xlim(0, 1)
ax.set_xticks([])
ax.set_ylim(1, 3)
ax.set_yticks([])
plt.show()
Total running time of the script: (0 minutes 0.051 seconds)
Gallery generated by Sphinx-Gallery
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