I know there is a lot about merging on here, I have tried countless times and have not gotten the results I need I have 2 datasets and what want to merge them on job_pos_num
to fill the NaNs.
DF1
ID Name job_title job_pos_num manager_id manager_name
1 Adam Cashier 121 12 Michael
1 Adam Lead Cashier 122 12 Michael
2 Ben Stocker NaN 4 Victor
2 Ben Backroom Lead NaN 4 Victor
2 Ben Backroom Supervisor 199 4 Victor
3 Cathy Technician 145 17 Alex
3 Cathy Consultant NaN 11 Bailey
DF2
job_pos_num job_title
100 Store Manager
105 Backroom Manager
107 Front Side Manager
121 Cashier
122 Lead Cashier
139 Key Holder
142 Apprentice
145 Technician
165 Stocker
187 Backroom Lead
189 Consultant
199 Backroom Supervisor
Desired output:
ID Name job_title job_pos_num manager_id manager_name
1 Adam Cashier 121 12 Michael
1 Adam Lead Cashier 122 12 Michael
2 Ben Stocker 165 4 Victor
2 Ben Backroom Lead 187 4 Victor
2 Ben Backroom Supervisor 199 4 Victor
3 Cathy Technician 145 17 Alex
3 Cathy Consultant 189 11 Bailey
code used:
df1 = pd.merge(df1,df2, how= 'left', left_on='job_pos_num', right_on='job_pos_num')