Reputation: 387
I have two files one contains
0 1
0 0.0 0.0
1 2.0 8.0
2 7.0 3.0
3 6.0 1.0
4 5.0 0.0
5 4.0 NaN
6 9.0 NaN
7 0.0 NaN
and another one contains:
0
0 A
1 B
2 C
3 D
4 E
5 F
6 G
7 H
8 I
9 J
I want to map the second file with two columns (0 and 1) of the first file.
Expected output is like this:
1_st_column 2nd_column
A A
C I
H D
G B
F A
E
J
A
I tried with merging but couldn't get it work. How can i solve this? Thank you!
Upvotes: 1
Views: 187
Reputation: 75080
You can use df.replace()
here:
file1.replace(dict(enumerate(file2['0']))) #replace '0' with original column name
#if column name is int , use: file1.replace(dict(enumerate(file2[0])))
# if needed to create dict with index: file1.replace(dict(zip(file2.index,file2['0'])))
0 1
0 A A
1 C I
2 H D
3 G B
4 F A
5 E NaN
6 J NaN
7 A NaN
Upvotes: 3