import numpy as np
import matplotlib.pyplot as plt
import matplotlib.colors as mcolors
from mpl_visual_context.patheffects import (
AlphaGradient,
FillColorFromStrokeColor,
StrokeOnly,
)
# data from# seaborn's tips dataset.
y = np.array(
[
4.65879889e-18,
5.49446813e-13,
4.85455744e-09,
3.30713828e-06,
2.11712017e-04,
3.15587518e-03,
2.09906863e-02,
4.75797322e-02,
5.11671270e-02,
3.44549129e-02,
2.11689635e-02,
1.31456314e-02,
7.58933885e-03,
4.57145642e-03,
3.15988371e-03,
1.83585312e-03,
2.19729282e-04,
3.18660472e-06,
4.24242960e-09,
4.48842177e-13,
]
)
x = np.linspace(0, 80, len(y))
def plot_ax(ax, x, y):
(l1,) = ax.plot(x, y)
(l2,) = ax.plot(x + 100, 2 * y)
return l1, l2
if True:
fig, axs = plt.subplots(1, 2, num=1, clear=True)
l1, l2 = plot_ax(axs[0], x, y)
pe = [FillColorFromStrokeColor() | AlphaGradient("up"), StrokeOnly()]
l1.set_path_effects(pe)
l2.set_path_effects(pe)
l1, l2 = plot_ax(axs[1], x, y)
pe = [
FillColorFromStrokeColor() | AlphaGradient("up", coords=[l1, l2]),
StrokeOnly(),
]
l1.set_path_effects(pe)
l2.set_path_effects(pe)
plt.show()
Total running time of the script: (0 minutes 0.065 seconds)
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