Monochromatic colorscheme for matplotlib with opinionated sensible default

from monoplt import apply_monochrome_style, generate_pattern_cycler
import matplotlib.pyplot as plt
apply_monochrome_style(plt)

plt.figure(figsize=(7,5))
for i in range(1,5):
    plt.plot(np.arange(10), np.arange(10)*i, label=i)
plt.xlabel("$x$")
plt.ylabel("$f(x)$")
plt.legend(facecolor='white', framealpha=1)
plt.show()

styles = generate_pattern_cycler()

plt.figure(figsize=(7, 5))
for x in range(1,5):
    plt.bar(x, np.random.randint(2,10), label=f"Bar {x}", **next(styles))
plt.xlabel("Category")
plt.ylabel("Amount")
plt.show()

styles = generate_pattern_cycler()
plt.figure(figsize=(7, 5))
x = np.random.randn(1000)
plt.hist(x, bins=30, density=True, **next(styles))
plt.xlabel("$x$")
plt.ylabel("$f(x)$")
plt.show()

plt.figure(figsize=(7, 5))
pie = plt.pie(
    [2, 3, 1, 5, 7, 9], 
    labels=["two", "three", "one", "five", "seven", "nine"],
)

styles = generate_pattern_cycler()
for part in pie[0]:
    part.set(**next(styles))