根据另一个文件中的行号从文件中拾取行

Question

I have two files - one contains the addresses (line numbers) and the other one data, like this:

address file:

2
4
6
7
1
3
5

data file

1.000451451
2.000589214
3.117892278
4.479511994
5.484514874
6.784499874
7.021239396

I want to randomize the data file based on the numbers of address files so I get:

2.000589214
4.479511994
6.784499874
7.021239396
1.000451451
3.117892278
5.484514874

I want to do it either in python or in bash, but didn't yet find any solution.

Answer 1

If you don't mind sed , we can use process substitution to achieve this easily:

sed -nf <(sed 's/$/p/' addr.txt) data.txt

• -n suppresses the default printing
• -f makes sed read commands from the process substitution <(...)
• <(sed 's/$/p/' addr.txt) creates sed print commands based on line numbers in addr.txt

Gives the output:

2.000589214
4.479511994
6.784499874
7.021239396
1.000451451
3.117892278
5.484514874

Answer 2

With awk :

awk 'NR==FNR {a[NR]=$0; next} {print a[$0]}' data.txt addr.txt

• NR==FNR {a[NR]=$0; next} NR==FNR {a[NR]=$0; next} creates an associative array a with keys being the record (line) number and values being the whole record, this would be applicable only for the first file ( NR==FNR ), which is data.txt . next makes awk to go to the next line without processing the record any further

• {print a[$0]} prints the value from the array with keys being the currect file's ( addr.txt ) line (record) number

Example:

% cat addr.txt 
2
4
6
7
1
3
5

% cat data.txt 
1.000451451
2.000589214
3.117892278
4.479511994
5.484514874
6.784499874
7.021239396

% awk 'NR==FNR {a[NR]=$0; next} {print a[$0]}' data.txt addr.txt
2.000589214
4.479511994
6.784499874
7.021239396
1.000451451
3.117892278
5.484514874

Answer 3

You can do it, also, within Python , like this example:

with open("address_file", 'r') as f1, open("data_file", "r") as f2:
    data1 = f1.read().splitlines()
    data2 = f2.read().splitlines()

for k in data1:
    # Handle exceptions if there is any
    try:
        print(data2[int(k)-1])
    except Exception:
        pass

Edit: As suggested @heemayl, here is another solution using only one list :

with open("file1", 'r') as f1, open("file2", 'r') as f2:
    data = f2.read().splitlines()

    for k in f1.read().splitlines():
        print(data[int(k)-1])

Both will output:

2.000589214
4.479511994
6.784499874
7.021239396
1.000451451
3.117892278
5.484514874