This example is based on barh.py example from matplotlib.
import matplotlib.pyplot as plt
import numpy as np
# import seaborn as sns
# sns.set_theme()
import mplcyberpunk
plt.style.use("cyberpunk")
# Fixing random state for reproducibility
np.random.seed(19680801)
fig, axs = plt.subplots(1, 2, num=1, clear=True, layout="constrained")
# Example data
people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')
y_pos = np.arange(len(people))
performance = 3 + 10 * np.random.rand(len(people))
error = np.random.rand(len(people))
def draw_ax(ax):
bars = ax.barh(y_pos, performance, xerr=error, align='center')
ax.set_yticks(y_pos, labels=people)
ax.invert_yaxis() # labels read top-to-bottom
ax.set_xlabel('Performance')
ax.set_title('How fast do you want to go today?')
return bars
from mpl_visual_context.patheffects import FillImage, AlphaGradient
from mpl_visual_context.image_box import ImageBox
ax = axs[0]
bars = draw_ax(ax)
pe = [AlphaGradient("right")]
for p in bars:
p.set_path_effects(pe)
ax = axs[1]
bars = draw_ax(ax)
bbox_image = ImageBox("right", alpha="right", extent=[0, 0, 1.0, 1], coords=bars)
pe = [FillImage(bbox_image, ax=ax)]
for p in bars:
p.set_path_effects(pe)
plt.show()
Total running time of the script: (0 minutes 0.159 seconds)
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