import matplotlib.pyplot as plt
import numpy as np

# Generate some random data
x = np.arange(0, 10, 0.1)
y = np.random.randn(len(x))

# Create a plot
fig, ax = plt.subplots()
plt.ion()
ax.set_aspect('equal', 'datalim')


# Set x-axis limits
ax.set_xlim(2, 5)


# Print the x and y limits
print(f"x-axis limits before plotting: {ax.get_xlim()}")
print(f"y-axis limits before plotting: {ax.get_ylim()}")

ax.plot(x, y*10)


# Print the x and y limits
print(f"x-axis limits after plotting: {ax.get_xlim()}")
print(f"y-axis limits after plotting: {ax.get_ylim()}")

# Set x-axis limits
ax.set_xbound(lower=2, upper=5)
# ax.set_xlim(2, 5)

# Print the x and y limits
print(f"x-axis limits after setting xlim: {ax.get_xlim()}")
print(f"y-axis limits after setting xlim: {ax.get_ylim()}")

# Show the plot
plt.show()