Correlation matrix between two dataframes per month

I have two dataframes that have a common index: "Date".

data1 = [['0', 100], ['1', 235], ['2', 164]]
df1 = pd.DataFrame(data1, columns=['Date', 'Sales Product 1'])

data2 = [['0', 300], ['1', 105], ['2', 200]]
df2 = pd.DataFrame(data2, columns=['Date', 'Sales Product 2'])

each dataframe looks something like this:

What I want is to make a correlation matrix between the sales of product 1 and the sales of product 2 for each of the date values. Something that looks like this

Try the following:

df_corr = pd.merge(df1, df2, on='Date')

result = df_corr.groupby('Date').corr()

But I get the following:

Can you help me get the result I want?