import matplotlib.pylab as plt
import numpy as np
# %matplotlib widget

def f(x, y): 
    return x**2 - y**2

steps = 100
x = np.linspace(-10, 10, steps)
y = np.linspace(-10, 10, steps)
X,Y = np.meshgrid(x,y)
Z = f(X, Y)

origin = np.array([0, 0, 0])

fig = plt.figure(figsize = (6, 6))
ax = plt.axes(projection='3d', box_aspect = (1, 1, 1))

ax.plot(*origin, color = 'blue', marker = 'o')
ax.text(origin[0] + 0.25, origin[1] + 0.25, origin[2] + 0.25, s = 'O', fontsize = 12)

ax.plot_surface(X, Y, Z, color= 'red', alpha = 0.5)

# ax.set_xlim(-10, 10)
# ax.set_ylim(-10, 10)
# ax.set_zlim(-10, 10)
plt.show()

/opt/tljh/user/lib/python3.7/site-packages/ipykernel_launcher.py:2: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
  

Figure