Merging two dataframes pandas on Id and year where year is missing values

Sjoseph :

I have two dataframes (dfA and dfB) with a sample from both given below. I want to join the dataframes to produce the Result given

dfA
Id, year, B, D
1,  2010, 15, 33
1,  2011, 24, 72
1,  2012, 30, 16

dfB
Id, year, A, C
1,  2009, 100, 1
1,  2010, 75, 7
1,  2012, 60, 3
1, 2013, 42, 4

Result
Id, year, A, B, C, D
1, 2009,100, 0, 1, 0
1, 2010,75,15, 7, 33
1, 2011,0, 24, 0, 72
1, 2012,60, 30, 3, 16
1, 2013,42, 0, 4, 0

Attempt

I have experimented with pandas.merge trying inner, outer, left and right joins but am unable to get the desired result!

result = pd.merge(dfA,dfB,on=['Id','year'], how = 'outer')

Any tips would be greatly appreciated!

YOBEN_S :

merge has the correct output , we just need to order and sort_values

s=pd.merge(df1,df2,on=['Id','year'], how = 'outer').\
      sort_index(level=0,axis=1).sort_values(['Id', 'year']).fillna(0)
s
Out[81]: 
       A     B    C     D   year  Id
3  100.0   0.0  1.0   0.0   2009   1
0   75.0  15.0  7.0  33.0   2010   1
1    0.0  24.0  0.0  72.0   2011   1
2   60.0  30.0  3.0  16.0   2012   1
4   42.0   0.0  4.0   0.0   2013   1