For Loop on Pandas to Plot Rows from different DataFrames

Question

I have two different DataFrames in Python, one is the actual revenue values and the second one is the values of the prediction with the accumulative per day (index of the rows). Both DataFrames have the same length.

I want to compare them on the same plot, row by row. If I want to plot only one row from each DataFrame, I use this code:

df_actual.loc[71].T.plot(figsize=(14,10), kind='line')
df_preds.loc[71].T.plot(figsize=(14,10), kind='line')

The output is this:

However, the ideal output is to have all the rows for each DataFrame in a grid so I can compare all the results:

I have tried to create a for loop to itinerate each row but it is not working:

for i in range(20):
  df_actual.loc[i].T.plot(figsize=(14,10), kind='line')
  df_preds.loc[i].T.plot(figsize=(14,10), kind='line')

Is there any way to do this that is not manual? Thanks!