importmatplotlib.pyplotaspltimportnumpyasnp# Generate some random datax=np.arange(0,10,0.1)y=np.random.randn(len(x))# Create a plotfig,ax=plt.subplots()plt.ion()ax.set_aspect('equal','datalim')# Set x-axis limitsax.set_xlim(2,5)# Print the x and y limitsprint(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 limitsprint(f"x-axis limits after plotting:{ax.get_xlim()}")print(f"y-axis limits after plotting:{ax.get_ylim()}")# Set x-axis limitsax.set_xbound(lower=2,upper=5)# ax.set_xlim(2, 5)# Print the x and y limitsprint(f"x-axis limits after setting xlim:{ax.get_xlim()}")print(f"y-axis limits after setting xlim:{ax.get_ylim()}")# Show the plotplt.show()