Inspired by the example in scientific visualization book by N. P. Rougier.
import numpy as np
from matplotlib.patheffects import Normal
from mpl_visual_context.patheffects import FillColor, AlphaGradient
from mpl_visual_context.patheffects_shadow import ShadowPath
import matplotlib.pyplot as plt
red = np.array([233, 77, 85, 255]) / 255
darkred = np.array([130, 60, 71, 255]) / 255
fig, ax = plt.subplots(num=2, clear=True)
t = ax.text(0.5, 0.5, "Matplotlib", ha="center", va="center",
size=60, color="w", clip_on=True)
t.set_path_effects([ShadowPath(45, 180) | FillColor(darkred)
| AlphaGradient("0 ^ 0.1 ^ 0.3 ^ 0.5"),
Normal(),
])
ax.patch.set_fc(red)
plt.show()
Total running time of the script: (0 minutes 0.083 seconds)
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