清除 Matplotlib plot 而不清除 slider

Question

I'm currently creating an application where I need to update matplotlib graphs. I'm stuck at following step.
I have a scatter plot and slider in the same figure. Upon changing the slider value, I need to clear the scatter plot without clearing the slider. Following is the code I implemented, but it does not clear the plot. The .clf() function removes both the slider and scatter plot. Is there a way I could remove only the plot without impacting the slider?

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.widgets import Slider


X1=np.arange(10)
Y1=np.arange(10)
Z1=np.arange(10)
fig,ax=plt.subplots()
ax=plt.scatter(X1,Y1,Z1)

axSlider1=plt.axes([0.3,0.9,0.3,0.05])
Slder2=Slider(ax=axSlider1,label='Slider',valmin=1,valmax=4,valinit=2)

plt.show()

# Function to clear the scatter plot without effecting slider.
def val_update(val):
    plt.cla()

Slder2.on_changed(val_update)

Answer 1

fig,ax=plt.subplots()

Assigned the Axes object to ax - then

ax=plt.scatter(X1,Y1,Z1)

assigns a PathCollection object to ax . So val_update is tying to act on the wrong thing.

This seems to solve the issue you asked about.

X1=np.arange(10)
Y1=np.arange(10)
Z1=np.arange(10)
fig,ax=plt.subplots()
path=plt.scatter(X1,Y1,Z1)

axSlider1=plt.axes([0.3,0.9,0.3,0.05])
Slder2=Slider(ax=axSlider1,label='Slider',valmin=1,valmax=4,valinit=2)


# Function to clear the scatter plot without effecting slider.
def val_update(val):
    print(val)
    ax.clear()

Slder2.on_changed(val_update)

plt.show()

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The Matplotlib Gallery is a good resource you can browse through it looking for features you want and see how they were made. - Like this slider demo

If you think you will be using matplotlib in the future I would recommend working your way through the Introductory tutorials and at least the Artists tutorial