pandas: Check if value exist in two dataframes

Question

Im new using python

please how should i do to get the result below. if the cod and date match of df_1 exists in df_2 then i should add the row as explained in my code below.

data1 = {'date': ['2021-06', '2021-06', '2021-07', '2021-07', '2021-07', '2021-07'], 'cod': ['12', '12', '14', '15', '15', '18'], 'Zone': ['LA', 'NY', 'LA', 'NY', 'PARIS', 'PARIS'], 'Revenue_Radio': [10, 20, 30, 50, 40, 10]}  
df_1 = pd.DataFrame(data1) 
data2 = {'date': ['2021-06', '2021-06', '2021-07', '2021-07', '2021-08'], 'cod': ['12', '14', '15', '15', '18'], 'Zone': ['PARIS', 'NY', 'LA', 'NY', 'NY'], 'Revenue_Str': [10, 20, 30, 50, 5]}  
df_2 = pd.DataFrame(data2) 

My code id

dfx = df_2[df_2['cod'].isin(df_1['cod']) & 
(df_2['date'].isin(df_1['date'])) ]
df = (df_1.merge(dfx, on=['date','cod','Zone'], how='outer')
      .fillna(0)
      .sort_values(['date','cod'], ignore_index=True))

Expected output

data_result = {'date': ['2021-06', '2021-06', '2021-06', '2021-07', '2021-07', '2021-07', '2021-07', '2021-07','2021-07'], 'cod': ['12', '12', '12', '14', '14', '15', '15', '15', '18'], 'Zone': ['LA', 'NY', 'PARIS','LA', 'NY', 'NY', 'PARIS', 'LA', 'PARIS'], 'Revenue_Radio': [10, 20, 0,  30, 0, 50, 40, 0, 10], 'Revenue_Str': [0, 0, 10,0, 20, 50, 0, 30, 0]}    
df_result = pd.DataFrame(data_result) 

Answer 1

You can merge and fillna :

(df_1.merge(df_2, on=['date', 'cod', 'Zone'], how='outer')
     .fillna(0, downcast='infer')
)

NB. it is not clear to me why you don't have the last row (18/NY) in your output

output:

      date cod   Zone  Revenue_Radio  Revenue_Str
0  2021-06  12     LA             10            0
1  2021-06  12     NY             20            0
2  2021-07  14     LA             30            0
3  2021-07  15     NY             50           50
4  2021-07  15  PARIS             40            0
5  2021-07  18  PARIS             10            0
6  2021-06  12  PARIS              0           10
7  2021-06  14     NY              0           20
8  2021-07  15     LA              0           30
9  2021-08  18     NY              0            5