pandas.DataFrame.combine

DataFrame.combine(other, func, fill_value=None, overwrite=True)

Add two DataFrame objects and do not propagate NaN values, so if for a (column, time) one frame is missing a value, it will default to the other frame’s value (which might be NaN as well)

other : DataFrame func : function fill_value : scalar value overwrite : boolean, default True

If True then overwrite values for common keys in the calling frame

result : DataFrame