I am having trouble merging these two dataframes to give the expected results. I would like to check both dataframes and if column 1 and 3 of dataframe 1 match column 0 and 2 of dataframe 2 then return the last dataframe.
df1
0 1 2 3 4 5
4 4133 43 192.168.0.1 dt1 default
5 4134 43 192.168.0.2 dt2 t2
6 4135 43 192.168.0.3 dt3 t3
df2
0 1 2 3 4 5
4134 43 192.168.0.2 dt2 t2
4136 43 192.168.0.4 dt4 default
4137 43 192.168.0.5 dt5 default
result
0 1 2 3 4 5
5 4134 43 192.168.0.2 dt2 t2
You could try this using an inner join with merge
:
df1[['1','3']].merge(df2, left_on=['1','3'], right_on=['0','2'], suffixes=('_x',''))\
.drop(['1_x','3_x'], axis=1)
尝试这个:
result = df1.merge(df2, left_on=['1', '3'], right_on=['0', '2'])
The technical post webpages of this site follow the CC BY-SA 4.0 protocol. If you need to reprint, please indicate the site URL or the original address.Any question please contact:yoyou2525@163.com.