Pandas fill missing values in dataframe from another dataframe

Question

I cannot find a pandas function (which I had seen before) to substitute the NaN\'s in a dataframe with values from another dataframe (assuming a common index which can be sp

Answer 1

This should be as simple as

df.fillna(d2)