When I plot data using Matplotlib and limit the x-axis to a smaller range, Matplotlib still uses the same y-axis limits as before the x-axis limitation. For example
import numpy as np import matplotlib.pyplot as plt x = np.linspace(-10,10,100) y = x**2 fig, ax = plt.subplots() ax.plot(x,y) ax.set_xlim(-2, 2) plt.show() gives the following plot:
I would expect that the y-axis approximately ranges from ~0 to ~4, since these are the new data limits in the x-limited region. Is this considered to be a bug? And if not, is there a simple way to achieve the desired output (without truncation of the NumPy array to the desired x-range)?
