I want to compare name column in two dataframes df1 and df2 , output the matching rows from dataframe df1 and store the result in new dataframe df3. How do i do this in Pandas ?
df1
place name qty unit
NY Tom 2 10
TK Ron 3 15
Lon Don 5 90
Hk Sam 4 49
df2
place name price
PH Tom 7
TK Ron 5
Result:
df3
place name qty unit
NY Tom 2 10
TK Ron 3 15
Option 1
Using df.isin:
In [1362]: df1[df1.name.isin(df2.name)]
Out[1362]:
place name qty unit
0 NY Tom 2 10
1 TK Ron 3 15
Option 2
Performing an inner-join with df.merge:
In [1365]: df1.merge(df2.name.to_frame())
Out[1365]:
place name qty unit
0 NY Tom 2 10
1 TK Ron 3 15
Option 3
Using df.eq:
In [1374]: df1[df1.name.eq(df2.name)]
Out[1374]:
place name qty unit
0 NY Tom 2 10
1 TK Ron 3 15
You want something called an inner join.
df1.merge(df2,on = 'name')
place_x name qty unit place_y price
NY Tom 2 10 PH 7
TK Ron 3 15 TK 5
The _xand _y happens when you have a column in both data frames being merged.
