I'm trying to process a file from the protein data bank which is separated by spaces (not \t). I have a .txt file and I want to extract specific rows and, from that rows, I want to extract only a few columns.
I need to do it in Python. I tried first with command line and used awk command with no problem, but I have no idea of how to do the same in Python.
Here is an extract of my file:
[...] SEQRES 6 B 80 ALA LEU SER ILE LYS LYS ALA GLN THR PRO GLN GLN TRP SEQRES 7 B 80 LYS PRO HELIX 1 1 THR A 68 SER A 81 1 14 HELIX 2 2 CYS A 97 LEU A 110 1 14 HELIX 3 3 ASN A 122 SER A 133 1 12 [...]
For example, I'd like to take only the 'HELIX' rows and then the 4th, 6th, 7th and 9th columns. I started reading the file line by line with a for loop and then extracted those rows starting with 'HELIX'... and that's all.
EDIT: This is the code I have right now, but the print doesn't work properly, only prints the first line of each block (HELIX SHEET AND DBREF)
#!/usr/bin/python
import sys
for line in open(sys.argv[1]):
if 'HELIX' in line:
helix = line.split()
elif 'SHEET'in line:
sheet = line.split()
elif 'DBREF' in line:
dbref = line.split()
print (helix), (sheet), (dbref)
If you already have extracted the line, you can split it using
line.split()
. This will give you a list, of which you can extract all the elements you need:you can expend the key words as you want. the result is list contained line with key words you can do further process of result to get what you want
Have a look at the CSV library. https://docs.python.org/2/library/csv.html The following code should do the trick
Is there a reason you can't just use split?