如何让 matplotlib 忘记删除的 plot 元素？

Question

I'm using matplotlib within a GUI and elements come and go from the plot. I'm trying to keep the axis tight on the data, but have noticed that if an element is removed, axis('tight') still expands the axis as though it were there. How can this be addressed?

Example:

fig,ax = plt.subplots()
h1 = ax.plot(1,1,'.')
h2 = ax.plot(10,10,'.')
h3 = ax.plot(20,20,'.')
ax.axis('tight')  # (1,20,1,20)
h3[0].remove()
ax.axis('tight')  # still (1,20,1,20), desire (1,10,1,10)

Answer 1

After removing the element from the plot, call ax.relim() on the axis so that it recalculates the limits before calling ax.axis('tight') .

import matplotlib.pyplot as plt

fig,ax = plt.subplots()
h1 = ax.plot(1,1,'.')
h2 = ax.plot(10,10,'.')
h3 = ax.plot(20,20,'.')
ax.axis('tight')  # (1,20,1,20)
h3[0].remove()
ax.relim()        # recalculates that limits for the axis
ax.axis('tight')  # will rescale the plot correctly to the new limits
plt.show()