Matplotlib update one plot function when multiple functions plotted on same figure

I have a case where I plot multiple functions on one figure but want to update one function while not having to re-plot the other function.

A very simplistic example:

import numpy as np
import matplotlib.pyplot as plt
   
fig, ax = plt.subplots()
x = np.arange(0,10,0.1)

ax1 = plt.subplot(1,1,1)
ax2 = plt.subplot(1,1,1)

ax1.plot(x,1*np.sin(x),'b-')
ax2.plot(x,2*np.sin(x),'g-')

I want to clear/update the data plotted in ax2 so that the data in ax1 isn't cleared or needs to be replotted.

Using ax2.clear() or ax2.cla() both clear the entire figure.

Are there any suggestions on how I can either update just the data in ax2 or a better way to control the plotting data for multiple functions on the same plot independently?

The actual case scenario plots satellite data (ax1) on a projected map with contour lines (ax2) overlayed. So the motivation is not to replot the satellite data due to time, but to keep the satellite data and update the contour plots (ax2) and save the figure at each step in a for-loop.

source https://stackoverflow.com/questions/72636726/matplotlib-update-one-plot-function-when-multiple-functions-plotted-on-same-figu

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