Python 编写多行范围循环

Question

I'm trying write a script to increment the second column of several rows based on a range in loop ie nums = range(17501, 17570) . So on each increment the all values in the second column will increment to 17202 and then 17203 etc leaving the rest intact , any suggestions?

The data is already in a file so I need some form of read and then write the ouput, is this even possible ?

x1E 17201   18  0   1   0   0   1
x2E 17201   19  0   1   0   0   1
x3E 17201   20  0   1   0   0   1
x4E 17201   21  0   1   0   0   1
x5E 17201   22  0   1   0   0   1
x6X 17201   23  0   1   0   0   1
x7X 17201   24  0   1   0   0   1
x8X 17201   25  0   1   0   0   1
x9X 17201   26  0   1   0   0   1
10X 17201   27  0   1   0   0   1
11X 17201   28  0   1   0   0   1
12X 17201   29  0   1   0   0   1
13X 17201   30  0   1   0   0   1
14X 17201   31  0   1   0   0   1
15X 17201   32  0   1   0   0   1
16X 17201   33  0   1   0   0   1
20X 17201   34  0   1   0   0   1
17X 17201   35  0   1   0   0   1
18X 17201   36  0   1   0   0   1
19X 17201   37  0   1   0   0   1

Thanks to ROCKLY LI I got this to work. Only problem it needs sorting as above perhaps by the 3 rd column numerically , how to sort the written output in the file ?

nums = range(17201,17920)

with open('Orig.txt', 'r') as fin:
     with open('PLF.txt', 'w') as fout:
         for line in fin.readlines():
             line = line.split()

             #if 17200 < int(line[1]) < 17920:

             #print(line)
             for i in range(0, len(nums),):
                 line[1] = int(line[1]) + 1
                  #line.append(str(line[1] + 1))
                 line = [str(e) for e in line] # Fix type
                 print(line)
                 #fout.write(' '.join(line) + '\n')
                 fout.write(' '.join(line) + '\n')

Answer 1

I think instead of editing the file in place, it's more reasonable to generate a new one and keep the old one, and it's incredibly easy with pandas

import pandas as pd

df = pd.read_table('your_file.txt', header=None, delim_whitespace=True)
df[1] = df.apply(lambda x: x[1] + 1 if 17501 <= x[1] < 17570 else x[1])
df.to_csv('new_file.txt', sep=' ')

And that's it.

Without pandas, you can do:

with open('your_file.txt', 'r') as fin:
     with open('new_file.txt', 'w') as fout:
          for line in fin.readlines():
              line = line.split()
              if 17000 < int(line[1]) < 18000:
                  line[1] = int(line[1]) + 1
              line = [str(e) for e in line] # Fix type
              fout.write(' '.join(line) + '\n')