Pyplot x-axis not labelled when using subplots

Question

I have a data frame whose data I want to plot in a 2 x 1 subplot. The 1st subplot has two y-axes, the 2nd one has only one:

import pandas as pd
import matplotlib.pyplot as plt

df = pd.DataFrame()
df['Time__min'] = [0, 1, 2, 3, 4]
df['Data1']     = [2, 1, 4, 3, 5]
df['Data2']     = [5, 3, 2, 4, 1]
df['Data3']     = [4, 1, 3, 2, 5]

fig, axes = plt.subplots(nrows=2, ncols=1)
ax = df.plot(x = 'Time__min', y = 'Data1', ax=axes[0])
ax.set_xlabel(xlabel = 'min')
ax.set_ylabel(ylabel = '°C')
ax2 = df.plot(x = 'Time__min', y = 'Data2', secondary_y=True, ax=ax, style = '--')
ax2.set_xlabel(xlabel = 'min') 
ax2.set_ylabel(ylabel = 'bar') 
      
ax3 = df.plot(x = 'Time__min', y = 'Data3', ax=axes[1])
ax3.set_xlabel(xlabel = 'min')
ax3.set_ylabel(ylabel = '(kg/s)') 

plt.show()

The x-axis of the 1st subplot shows neither numbers nor the label ("min"). How can I make the x-axis of the 1st subplot look exactly like the one of the 2nd subplot?

Adding plt.setp(axes[0].get_xticklabels(), visible=True) before plt.show() as recommended here has not done the trick for me. Neither did adding fig.tight_layout() as recommended here.

Edit: It looks like the secondary y-axis is causing the issue as shown here. Unfortunately, the proposed solution does not work for me (see above). Does anybody have another idea?