# import matplotlib and numpy as usual
import matplotlib.pyplot as plt
import numpy as np

# now import pylustrator
import pylustrator

# activate pylustrator
pylustrator.start()

# build plots as you normally would
np.random.seed(1)
t = np.arange(0.0, 2, 0.001)
y = 2 * np.sin(np.pi * t)
a, b = np.random.normal(loc=(5.0, 3.0), scale=(2.0, 4.0), size=(100, 2)).T
b += a

plt.figure(1)
plt.subplot(131)
plt.plot(t, y)

plt.subplot(132)
plt.plot(a, b, "o")

plt.subplot(133)
plt.bar(0, np.mean(a))
plt.bar(1, np.mean(b))

# show the plot in a pylustrator window
#% start: automatic generated code from pylustrator
plt.figure(1).ax_dict = {ax.get_label(): ax for ax in plt.figure(1).axes}
import matplotlib as mpl
getattr(plt.figure(1), '_pylustrator_init', lambda: ...)()
plt.figure(1).axes[2].patches[0].set_facecolor("#008f00ff")
#% end: automatic generated code from pylustrator
plt.show()