creating subplots for lag_plot [duplicate]

Question

i want to plot 2 lag_plots by using matplotlib.pyplot.subplots. here is my code:

1.Grab Data

import pandas_datareader.data as web
import pandas as pd
import matplotlib.pyplot as plt

# start date
start = f"{date.today().year-3}-{date.today().month}-{date.today().day}"

# end date
end = date.today()

# 'MSFT' data
MSFT = pd.DataFrame(web.DataReader('MSFT' , start=start , end=end ,data_source='yahoo')['Close'])


# 'S&P 500' data
s_and_p500 = pd.DataFrame(web.DataReader('sp500' , start=start , end=end ,data_source='fred'))

2.Making Plots

fig , (ax1 , ax2) = plt.subplots(2,1)
fig.set_figheight(4)
fig.set_figwidth(20)

ax1 = pd.plotting.lag_plot(MSFT['Close'])
ax2 = pd.plotting.lag_plot(s_and_p500['sp500'])

output:

as you can see, plt is plotting both in 1! I mean the area that I denoted in picture, is for this ax2 = pd.plotting.lag_plot(s_and_p500['sp500']) part of the code! but plt should put each of ax1 , ax2 in separated figures (first figure shouldn't be empty)!
How can I fix this?