calculate number and length of non NaN values in a pandas row

Question

I have:

pd.DataFrame({\'A\':[1,2,3],\'B\':[np.NaN,4,5],\'C\':[6,7,np.NaN],\'D\':[8,9,10],\'E\':[np.NaN,11,12],\'F\':[13,14,15]})

    A   B   C   D   E