How do I calculate a Smoothed Moving Average on a Python Pandas dataframe?

I have a pandas dataframe and would like to easily calculate the smoothed moving average. To calculate the simple moving average, you would use something like df.iloc[:,1].rolling(window=3).mean() and for the exponential moving average you would use something like df_T.iloc[:,0].ewm(span=40,adjust=False).mean(). Is there anything similar that I can do to easily calculate the smoothed moving average?