[Tutor] Newbie Trouble Processing SRT Strings In Text

[Peter Otten]

Matt Varner wrote:

> This result works perfectly (REMs removed):
> 
> f = open('tmp.txt', 'r')
> o = open('result.txt', 'w')
> lns = f.readlines()
> f.close()
> for line in lns:
>     if ".\n" in line:
>         a = line.replace('.\n','.  ')
>         o.write(a)
>     else:
>         a = line.strip('\n')
>         o.write(a + " ")
> o.close()

Congratulations!

Two remarks:

- Often you don't need to load the lines of a file in a list with
  readlines(), you can iterate over the file directly:

  for line in f:
      ...

- Python has a nice way to open a file and make sure that it's closed after 
  usage, the with statement:

  with open("tmp.txt") as f:
      for line in f:
          ...
  print("at this point the file is closed")

Finally, you may also take a look into the textwrap module in the standard 
library:

>>> import textwrap
>>> with open("tmp.txt") as f:
...     print(textwrap.fill(f.read(), width=50, fix_sentence_endings=True))
... 
# Exported by Aegisub 3.2.1 [Deep Dive] [CSS
Values & Units Numeric and Textual Data Types
with Guil Hernandez] In this video, we'll go over
the common numeric and textual values that CSS
properties can accept.  Let's get started.  So,
here we have a simple HTML page containing a div
and a paragraph element nested inside.  It's
linked to a style sheet named style.css and this
is where we'll be creating our new CSS rules.

See <https://docs.python.org/dev/library/textwrap.html>