[FIXED] how do i use vlookup using python having mutliple columns in both dataframe

Issue

I need help on vlookup using python. I need only one matching column data of df2 in df1 instead of all df2 data. my input is below two dataframes.

df1 
NodeName    NEID    Configured_Speed
MUM         25234   511.054
DEL         32251   154.155
CHN         32584   224.949
KOL         27076   372.932
PUN         29743   203.556
TN          29037   224.949

df2 

NodeName    Address         Region
KOL         10.134.9.242    East
DEL         10.51.195.236   North
CHN         10.139.56.59    South
TN          10.133.19.251   South
KEL         10.51.60.6      South
MUM         10.1.59.193     West
PUN         10.51.60.66     West

and my Output is

NodeName    NEID    Configured_Speed    Address
MUM         25234   511.054             10.1.59.193
DEL         32251   154.155             10.51.195.236
CHN         32584   224.949             10.139.56.59
KOL         27076   372.932             10.134.9.242
PUN         29743   203.556             10.51.60.66
TN          29037   224.949             10.133.19.251

I tried below code but getting Address column blank.

df1['Address']=df1.NodeName.map(df2.Address)

and when i use below code, all columns from df2 came in df1

df3 = pd.merge(df1, df2, on ='NodeName',how ='left')

Solution

You can subset df2 to send only the desired columns for the merging process-

df3 = pd.merge(df1, df2[['NodeName', 'Address']], on ='NodeName', how ='left')

Answered By - mrVerma

Answer Checked By - Candace Johnson (PHPFixing Volunteer)