How to calculate Rolling Correlation with pandas?

Question

I understand how to calculate a rolling sum, std or average. Example:

df[\'MA10\'] = df[\'Asset1\'].rolling(10).mean()

But I don\'t underst

Answer 1

It's in there, even if hidden a bit:

df['Asset1'].rolling(10).corr(df['Asset2'])