Question

I really don’t know if awk would be the appropriate tool for that task… Maybe something in python would be better. Anyway, I thought asking here first for the feasibility of the task. Here we go :

Datas :

###

offspr84 175177 200172 312312 310326 338342 252240 226210 113129 223264
male28 197175 172200 308312 310338 262338 256252 190226 113129 223219
female13 197177 172172 312308 318326 342350 240248 210218 129113 267247

###

offspr85 181177 192160 320312 290362 358330 238238 214178 133129 263223
male65 197181 176192 320268 322286 358330 238244 206214 137133 267263
female17 181177 160172 280312 362346 350326 230238 126178 129129 223167

###

So basicaly I need to print the first field ($1) and matching (in bold) $9 in the first record and matching $2 and $6 in second record.

Output file :
offspr84 113129
male28 113129

offspr85 181177
female17 181177

offspr85 358330
male65 358330

Any hint on how I could accomplish that ?

Thanx !

Answer 1

This code will produce the output you want. Maybe not the best way, but seems to work as expected.

#data = [
    #'offspr84 175177 200172 312312 310326 338342 252240 226210 113129 223264',
    #'male28 197175 172200 308312 310338 262338 256252 190226 113129 223219',
    #'female13 197177 172172 312308 318326 342350 240248 210218 129113 267247']

data = [
'offspr85 181177 192160 320312 290362 358330 238238 214178 133129 263223',
'male65 197181 176192 320268 322286 358330 238244 206214 137133 267263',
'female17 181177 160172 280312 362346 350326 230238 126178 129129 223167' ]

for i, line in enumerate(data):
    data[i] = line.split(' ')

for item in data[0]:
    if data[1].count(item) > 0:
        print data[0][0], item
        print data[1][0], item

    if data[2].count(item) > 0:
        print data[0][0], item
        print data[2][0], item

Update:

With a nested list to include both list at once:

datas = [[
'offspr85 181177 192160 320312 290362 358330 238238 214178 133129 263223',
'male65 197181 176192 320268 322286 358330 238244 206214 137133 267263',
'female17 181177 160172 280312 362346 350326 230238 126178 129129 223167' ],
[
'offspr84 175177 200172 312312 310326 338342 252240 226210 113129 223264',
'male28 197175 172200 308312 310338 262338 256252 190226 113129 223219',
'female13 197177 172172 312308 318326 342350 240248 210218 129113 267247']
]
for data in datas:
    for i, line in enumerate(data):
        data[i] = line.split(' ')


for data in datas:
    for item in data[0]:
        if data[1].count(item) > 0:
            print data[0][0], item
            print data[1][0], item

        if data[2].count(item) > 0:
            print data[0][0], item
            print data[2][0], item